From 868f4cc56c5371e78b896cfc973ba3df8e82ba28 Mon Sep 17 00:00:00 2001 From: MsMatias Date: Sat, 12 Oct 2019 12:04:02 -0300 Subject: [PATCH 01/52] new branch --- Mixture/Mixture.egg-info/PKG-INFO | 2 +- Mixture/build/lib/Mixture/Mixer.py | 72 +++++++++ Mixture/build/lib/Mixture/Utils.py | 32 ++++ Mixture/build/lib/Mixture/__init__.py | 76 ++++++++++ Mixture/build/lib/Mixture/nuSvmRobust.py | 118 +++++++++++++++ Mixture/build/lib/Mixture/tuneSvmForDeconv.py | 58 ++++++++ Mixture/dist/Mixture-0.5-py3-none-any.whl | Bin 0 -> 6315 bytes Mixture/setup.py | 4 +- NewmanFL TIL10.ipynb | 138 +++++++++++++++++- prueba2_dash.py | 104 +++++++++---- 10 files changed, 570 insertions(+), 34 deletions(-) create mode 100644 Mixture/build/lib/Mixture/Mixer.py create mode 100644 Mixture/build/lib/Mixture/Utils.py create mode 100644 Mixture/build/lib/Mixture/__init__.py create mode 100644 Mixture/build/lib/Mixture/nuSvmRobust.py create mode 100644 Mixture/build/lib/Mixture/tuneSvmForDeconv.py create mode 100644 Mixture/dist/Mixture-0.5-py3-none-any.whl diff --git a/Mixture/Mixture.egg-info/PKG-INFO b/Mixture/Mixture.egg-info/PKG-INFO index 41985d8..13bb06d 100644 --- a/Mixture/Mixture.egg-info/PKG-INFO +++ b/Mixture/Mixture.egg-info/PKG-INFO @@ -1,6 +1,6 @@ Metadata-Version: 1.0 Name: Mixture -Version: 0.1 +Version: 0.5 Summary: Mixture for Py Home-page: https://github.com/MsMatias/MixturePy Author: Mixture diff --git a/Mixture/build/lib/Mixture/Mixer.py b/Mixture/build/lib/Mixture/Mixer.py new file mode 100644 index 0000000..c06b8ab --- /dev/null +++ b/Mixture/build/lib/Mixture/Mixer.py @@ -0,0 +1,72 @@ +#!/usr/bin/env python +# coding: utf-8 + +import numpy as np +import pandas as pd +import os + +from Mixture.nuSvmRobust import nuSvmRobust +from sklearn.preprocessing import StandardScaler +from sklearn.preprocessing import scale +from joblib import Parallel, delayed + +# Function Mixer +# Main Function +# @method Mixer +# @param [DataFrame] Signature +# @param [DataFrame] Expression +# @param [int] num Cores +# @return ------- +def Mixer(X, Y, cores): + + print('Normalizing data') + + # Normalize signature Matrix + mean = X.iloc[:, 1:].mean() + std = X.iloc[:, 1:].stack().std() + X.iloc[:, 1:] = (X.iloc[:, 1:] - mean.mean()) / std + + # Intersection between X and Y + X = X.loc[X['Gene symbol'].isin(Y['Gene symbol'])] + Y = Y.loc[Y['Gene symbol'].isin(X['Gene symbol'])] + + # Ordering by GeneSymbol + X = X.sort_values(by=['Gene symbol']) + Y = Y.sort_values(by=['Gene symbol']) + + # Slice Gene symbol column + X = X.iloc[:, 1:] + Y = Y.iloc[:, 1:] + X.reset_index(drop=True, inplace=True) + + Yn = pd.DataFrame(scale(Y), index=Y.index, columns=Y.columns) + + out = list() + print('Processing...') + + out = Parallel(n_jobs=cores, backend='threading')(delayed(nuSvmRobust)(X = X, Y = j, subject = i, nuseq = [0.25,0.5,0.75], delta = 0.007, maxIter = -1, verbose = 1) for i, j in Yn.iteritems()) + + #out = [x.recv() for x in pipe_list] + + print('_____________________________________________________________________') + + print('Finish nuSvm') + + matWa = pd.DataFrame() + matWp = pd.DataFrame() + matRes = pd.DataFrame() + + for i in out: + matWa = matWa.append(i.Wa, ignore_index=True) + matWp = matWp.append(i.Wp, ignore_index=True) + matRes = matRes.append(pd.DataFrame([[i.RMSEa, i.RMSEp, i.Ra, i.Rp, i.BestParams, i.Iter]], columns=['RMSEa', 'RMSEp', 'Ra', 'Rp', 'BestParams', 'Iter']), ignore_index=True) + + matWa.index = Y.columns.values + matWa.columns = X.columns.values + + matWp.index = Y.columns.values + matWp.columns = X.columns.values + + matRes.index = matWp.index.values + + return(pd.DataFrame([[matWa, matWp, matRes]], columns=['MIXabs', 'MIXprop', 'ACCmetrix'])) diff --git a/Mixture/build/lib/Mixture/Utils.py b/Mixture/build/lib/Mixture/Utils.py new file mode 100644 index 0000000..0d61302 --- /dev/null +++ b/Mixture/build/lib/Mixture/Utils.py @@ -0,0 +1,32 @@ +import pandas as pd +import numpy as np +import random +import multiprocessing + +def sampleRandom (Y, i, verbose = 0): + + if verbose == 1: + print('--------------------------------------------------') + print('Creating Subject: ' + str(i) + ' Nro. Processor: ' + str(multiprocessing.current_process())) + print('--------------------------------------------------') + + Y = Y.iloc[:, 1:] + vector = Y.to_numpy(copy=True) + vector = vector.flatten() + + return vector[[random.randrange(Y.shape[0] * Y.shape[1]) for x in range(Y.shape[0])]] + +def getPValues (x, i): + return pd.DataFrame([sum(x.RMSEa < i.loc[:,'RMSEa']), + sum(x.RMSEp < i.loc[:,'RMSEp']), + sum(x.Ra > i.loc[:,'Ra']), + sum(x.Rp > i.loc[:,'Rp'])]).T/i.shape[0] + +def generateXlsx (result, pValues, nameFile): + if len(nameFile) > 0: + with pd.ExcelWriter( nameFile + '.xlsx') as writer: + result.Subjects[0].MIXabs[0].to_excel(writer, sheet_name='Absolute') + result.Subjects[0].MIXprop[0].to_excel(writer, sheet_name='Proportions') + result.Subjects[0].ACCmetrix[0].to_excel(writer, sheet_name='Metrics') + pValues.to_excel(writer, sheet_name='Pvalues') + result.usedGenes[0].to_excel(writer, sheet_name='UsedGenes', index=False) \ No newline at end of file diff --git a/Mixture/build/lib/Mixture/__init__.py b/Mixture/build/lib/Mixture/__init__.py new file mode 100644 index 0000000..45c1978 --- /dev/null +++ b/Mixture/build/lib/Mixture/__init__.py @@ -0,0 +1,76 @@ +#!/usr/bin/env python +# coding: utf-8 + +import pandas as pd +import numpy as np +import os +from Mixture.Mixer import Mixer +import Mixture.Utils as Utils +from joblib import Parallel, delayed + +def Mixture (X, Y, cores = 1, iter = 100, nameFile = 'output'): + + # Intersection between X and Y + geneList = X.loc[X['Gene symbol'].isin(Y['Gene symbol'])].sort_values(by=['Gene symbol'])['Gene symbol'] + + print('Running mixer with subjects (Count: ' + str(Y.shape[1]) + ')...') + # Run Mixer Function with original Expressions + orig = Mixer(X, Y, cores) + + print('Finish mixer') + + print('Get Medias') + + # Get Media by subject + totalMediaBySubject = Y.median(axis = 0, skipna = True) + + # Get Media by subject with intersect signatureMatrix + totalMediaBySubjectLm22 = Y.loc[Y['Gene symbol'].isin(X['Gene symbol'])].median(axis = 0, skipna = True) + + # Get Media + maxMediaFullCohort = max(np.median(Y.iloc[:, 1:]), 1) + + temp = pd.DataFrame([totalMediaBySubjectLm22/totalMediaBySubject, totalMediaBySubjectLm22/maxMediaFullCohort], index=['IscBySbj', 'IscPob']).T + orig.ACCmetrix[0] = pd.concat([orig.ACCmetrix[0], temp], sort = False, axis = 1) + + matRand = list() + + print('Creating population (Count: ' + str(iter) + ')...') + + matRand = Parallel(n_jobs=cores, backend='threading')(delayed(Utils.sampleRandom)(Y = Y, i = i, verbose = 1) for i in range(iter)) + + #for i in range(iter): + # matRand.append(Utils.sampleRandom(Y, i, 1)) + + print('Finish creating population') + + matRand = map(list, zip(*matRand)) + matRand = pd.DataFrame(matRand, Y['Gene symbol']) + matRand.reset_index(drop=True, inplace=True) + matRand = pd.concat([Y['Gene symbol'], matRand], sort = False, axis = 1) + + print('Finish') + + print('Running mixer with porpulationBased (Count: ' + str(matRand.shape[1]) + ')') + # Run Mixer Function with Random Matrix + outMix = Mixer(X, matRand, cores) + + #geneList = pd.DataFrame(geneList) + + result = pd.DataFrame([orig, outMix.ACCmetrix[0], geneList], ['Subjects', 'PermutedMetrix', 'usedGenes']).T + + result.usedGenes[0] = pd.DataFrame(result.usedGenes[0]) + + pValues = list() + + pValues = result.Subjects[0].ACCmetrix[0].apply(Utils.getPValues, args=(result.PermutedMetrix[0], ), axis = 1) + pValues = pd.DataFrame(pValues.values.tolist(), index = pValues.index, columns=['RMSEa', 'RMSEa', 'Ra', 'Rp']) + + print('Finish') + + Utils.generateXlsx (result, pValues, nameFile) + + return result, pValues + + + diff --git a/Mixture/build/lib/Mixture/nuSvmRobust.py b/Mixture/build/lib/Mixture/nuSvmRobust.py new file mode 100644 index 0000000..4e13402 --- /dev/null +++ b/Mixture/build/lib/Mixture/nuSvmRobust.py @@ -0,0 +1,118 @@ +# !/usr/bin/env python +# coding: utf-8 + +# In[1]: + +from __future__ import print_function +import numpy as np +import pandas as pd +import os, math, sys +import multiprocessing +# from ipynb.fs.full.tuneSvmForDeconv import tuneSvmForDeconv +from Mixture import tuneSvmForDeconv + +pd.set_option('display.max_columns', None) +pd.set_option('display.max_rows', None) +pd.set_option('display.max_colwidth', -1) + +# Function nuSvmRobust +# ---------------- +# @method nuSvmRobust +# @param [DataFrame] Signature +# @param [DataFrame] Expression +# @param [array] nuseq +# @param [float] delta +# @return ------------- +def nuSvmRobust(X, Y, subject, nuseq = [0.25,0.5,0.75], delta = 0.007, maxIter = 6, verbose = 0): + + wSel = [1 for x in range(len(X.columns))] + wSel = pd.DataFrame(wSel, X.columns).T + ok = True + i = 0 + model = 0 + + salida = list() + + np.seterr(divide='ignore', invalid='ignore') + + if verbose == 1: + print('--------------------------------------------------') + print('Subject: ' + str(subject) + ' Nro. Processor: ' + str(multiprocessing.current_process())) + print('--------------------------------------------------') + + while ok: + i = i + 1 + # Run function + XX = X.loc[:, X.columns.isin(wSel.columns[wSel.values[0] > 0])] + r, model = tuneSvmForDeconv.tuneSvmForDeconv(X = XX, Y = Y.values, nuseq = [0.25,0.5,0.75], delta = 0.007) + + if i == 1: + salida.append(r) + + if verbose == 1: + print('Iter: ' + str(i) + ' Subject: ' + str(subject), flush=True) + + # Get betas + w = model.coef_ + + # Set values i to zero where i < 0 + w = np.where(w<0, 0, w) + + # Save new betas backup + wAbs = w + + # Normalize data + w = w/np.sum(w) + + # Set values i to zero where i < delta + w = np.where(w 0).sum().sum() == 1): + break + wSel.loc[:, wSel.columns.isin(w.loc[:, (w.values < delta).any(axis=0)].columns)] = 0 + else: + ok = False + + if i >= maxIter and maxIter > -1: + ok = False + + wOut = pd.DataFrame(wAbs[0], XX.columns).T + + # Create wSel with all values in zero + wSel = [0 for x in range(len(X.columns))] + wSel = pd.DataFrame(wSel, X.columns).T + wSel.loc[:, wSel.columns.isin(wOut.columns)] = wOut + + u = X.apply(lambda x: x * wSel.iloc[0], axis = 1).values + k = np.sum(u, axis = 1) + #k = u.sum(axis = 1, skipna = True) + nusvm = math.sqrt(pow((k - Y.values),2).mean()) + corrv = np.corrcoef(k, Y.values) + #corrv = k.corr(Y.values) + + w = wSel/wSel.sum().sum() + uW = X.apply(lambda x: x * w.iloc[0], axis = 1).values + kW = np.sum(uW, axis = 1) + #kW = uW.sum(axis = 1, skipna = True) + nusvmW = math.sqrt(pow((kW - Y.values),2).mean()) + corrvW = np.corrcoef(kW, Y.values) + #corrvW = kW.corr(Y.values) + + #wSel = wSel.where(wSel>delta).fillna(0) + #w = w.where(w>delta).fillna(0).round(1) + + result = pd.Series([wSel, w, nusvm, nusvmW, corrv[0][1], corrvW[0][1], model.get_params()['nu'], i], index =['Wa', 'Wp', 'RMSEa', 'RMSEp', 'Ra', 'Rp', 'BestParams', 'Iter']) + return result diff --git a/Mixture/build/lib/Mixture/tuneSvmForDeconv.py b/Mixture/build/lib/Mixture/tuneSvmForDeconv.py new file mode 100644 index 0000000..0b35ba4 --- /dev/null +++ b/Mixture/build/lib/Mixture/tuneSvmForDeconv.py @@ -0,0 +1,58 @@ +#!/usr/bin/env python +# coding: utf-8 + +import numpy as np +import pandas as pd +import os, math, sys + +from sklearn.svm import NuSVR + +# Function nuSvr (Not import) +# Run NuSvr with expression Matrix and signature Matrix +# @method nuSvr +# @param [DataFrame] Signature +# @param [DataFrame] Expression +# @param [float] nu +# @param [float] delta +# @return [Array] [{ float } RMSEpredict, { objet } model] +def nuSvr(X, Y, nu, delta, verbose = False): + + # Run NuSVR + clf = NuSVR(kernel='linear', C=1.0, nu=nu, verbose = verbose) + clf.fit(X, Y) + + # Get betas + w = clf.coef_ + + # Set values i to zero where i < 0 + w = np.where(w<0, 0, w) + + # Normalize data + w = w/np.sum(w) + + # Set values i to zero where i < delta + w = np.where(wWGKwJQT 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setup(name='Mixture', - version='0.1', + version='0.5', description='Mixture for Py', url='https://github.com/MsMatias/MixturePy', author='Mixture', @@ -12,5 +12,7 @@ 'numpy', 'sklearn', 'rpy2' + 'multiprocessing', + 'joblib' ], zip_safe=False) \ No newline at end of file diff --git a/NewmanFL TIL10.ipynb b/NewmanFL TIL10.ipynb index c8edfe4..6bef8f8 100644 --- a/NewmanFL TIL10.ipynb +++ b/NewmanFL TIL10.ipynb @@ -651,21 +651,151 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "1.492839067844312" + "[{'index': 'GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz',\n", + " 'RMSEa': 0.7356467701374008,\n", + " 'RMSEp': 1.3580584756979353,\n", + " 'Ra': 0.7659924064451571,\n", + " 'Rp': 0.7659924064451571,\n", + " 'BestParams': 0.25,\n", + " 'Iter': 4,\n", + " 'IscBySbj': 1.3614559595090132,\n", + " 'IscPob': 1.4338058519231907},\n", + " {'index': 'GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz',\n", + " 'RMSEa': 0.7505897249244129,\n", + " 'RMSEp': 1.090406026517986,\n", + " 'Ra': 0.7110050497112939,\n", + " 'Rp': 0.7110050497112943,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.4812507549846523,\n", + " 'IscPob': 1.7360281133525028},\n", + " {'index': 'GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz',\n", + " 'RMSEa': 0.732099068814191,\n", + " 'RMSEp': 1.2091834335647023,\n", + " 'Ra': 0.7288513928726023,\n", + " 'Rp': 0.7288513928726023,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.5709810234715755,\n", + " 'IscPob': 1.3941344285023054},\n", + " {'index': 'GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz',\n", + " 'RMSEa': 0.7275200560756733,\n", + " 'RMSEp': 0.7677020173040355,\n", + " 'Ra': 0.7341321745726567,\n", + " 'Rp': 0.7341321745726567,\n", + " 'BestParams': 0.5,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.6949098559698745,\n", + " 'IscPob': 1.6767992068424078},\n", + " {'index': 'GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz',\n", + " 'RMSEa': 0.7645339483233782,\n", + " 'RMSEp': 0.9480152081799849,\n", + " 'Ra': 0.7073580843178506,\n", + " 'Rp': 0.7073580843178509,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.4244382418785955,\n", + " 'IscPob': 1.4254052018177612},\n", + " {'index': 'GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz',\n", + " 'RMSEa': 0.8357526440717506,\n", + " 'RMSEp': 0.9220692012485019,\n", + " 'Ra': 0.603599701930536,\n", + " 'Rp': 0.6035997019305361,\n", + " 'BestParams': 0.5,\n", + " 'Iter': 4,\n", + " 'IscBySbj': 1.5198711858383502,\n", + " 'IscPob': 1.7544527697105345},\n", + " {'index': 'GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz',\n", + " 'RMSEa': 0.7890824338319162,\n", + " 'RMSEp': 1.1467157955213947,\n", + " 'Ra': 0.662757463529935,\n", + " 'Rp': 0.6627574635299351,\n", + " 'BestParams': 0.5,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.5299931536787006,\n", + " 'IscPob': 1.5963206231304197},\n", + " {'index': 'GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz',\n", + " 'RMSEa': 0.8181283890228448,\n", + " 'RMSEp': 1.5053263997506567,\n", + " 'Ra': 0.6158581588113806,\n", + " 'Rp': 0.6158581588113806,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.4666248239439506,\n", + " 'IscPob': 1.3107743675863595},\n", + " {'index': 'GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz',\n", + " 'RMSEa': 0.738484399659218,\n", + " 'RMSEp': 1.4016467133867787,\n", + " 'Ra': 0.717762987535987,\n", + " 'Rp': 0.7177629875359868,\n", + " 'BestParams': 0.5,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.3038483337900335,\n", + " 'IscPob': 1.1124117209595081},\n", + " {'index': 'GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz',\n", + " 'RMSEa': 0.8444033804632818,\n", + " 'RMSEp': 1.0593343920275025,\n", + " 'Ra': 0.6840760505412941,\n", + " 'Rp': 0.6840760505412938,\n", + " 'BestParams': 0.5,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.4653159078042208,\n", + " 'IscPob': 1.3889594811732004},\n", + " {'index': 'GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz',\n", + " 'RMSEa': 0.7574527293730309,\n", + " 'RMSEp': 0.9156376633520333,\n", + " 'Ra': 0.6965434899346512,\n", + " 'Rp': 0.6965434899346511,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.3842983256700507,\n", + " 'IscPob': 1.267873749017242},\n", + " {'index': 'GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz',\n", + " 'RMSEa': 0.7272371774257491,\n", + " 'RMSEp': 1.4552726472482724,\n", + " 'Ra': 0.7387176417109829,\n", + " 'Rp': 0.7387176417109832,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.6252912321302102,\n", + " 'IscPob': 1.6694893908251813},\n", + " {'index': 'GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz',\n", + " 'RMSEa': 0.7754653074972279,\n", + " 'RMSEp': 0.9107204618211545,\n", + " 'Ra': 0.665374889094444,\n", + " 'Rp': 0.665374889094444,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.6102328167574849,\n", + " 'IscPob': 1.514096545250108},\n", + " {'index': 'GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz',\n", + " 'RMSEa': 0.817035910688728,\n", + " 'RMSEp': 1.132628635352565,\n", + " 'Ra': 0.6139840261413105,\n", + " 'Rp': 0.6139840261413106,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.461235334393658,\n", + " 'IscPob': 1.5882348967389759}]" ] }, - "execution_count": 44, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } ], - "source": [] + "source": [ + "absolute = result.Subjects[0].MIXabs[0].reset_index().to_dict('records')\n", + "proportions = result.Subjects[0].MIXprop[0].reset_index().to_dict('records')\n", + "metrics = result.Subjects[0].ACCmetrix[0].reset_index().to_dict('records')\n", + "metrics.to_dict('records')" + ] }, { "cell_type": "code", diff --git a/prueba2_dash.py b/prueba2_dash.py index 3fb101c..b34d0fe 100644 --- a/prueba2_dash.py +++ b/prueba2_dash.py @@ -10,7 +10,7 @@ from dash.dependencies import Input, Output, State import dash_core_components as dcc import dash_html_components as html -import dash_table +import dash_table as dt from flask import send_file import plotly.graph_objects as go @@ -20,6 +20,7 @@ filename_expression = '' result = '' pValues = '' +tableMetrics = '' cores = 4 output = '' @@ -31,15 +32,12 @@ server = app.server app.config['suppress_callback_exceptions'] = True app.css.config.serve_locally = True -app.script.config.serve_locally = True - -cssStylesheets = ['main.css'] -for stylesheet in cssStylesheets: - app.css.append_css({ - "external_url": 'assets/css/' + stylesheet - }) app.layout = html.Div([ + html.Link( + rel='stylesheet', + href='/assets/css/main.css' + ), html.Div([ html.Img(src='assets/img/logo_mixture.png', style = { 'width': '300px' @@ -105,11 +103,12 @@ 'margin-top': '30px' }) ], style={ - '-webkit-box-shadow': '-7px 7px 5px -4px rgba(0,0,0,0.25)', - '-moz-box-shadow': '-7px 7px 5px -4px rgba(0,0,0,0.25)', - 'box-shadow': '-7px 7px 5px -4px rgba(0,0,0,0.25)', + '-webkit-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + '-moz-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', 'margin': '0px', - 'width': '30%', + 'flex': '1', + 'height':'100%', 'background-color': '#FFFFFF', 'padding': '20px', 'border-radius': '5px', @@ -122,12 +121,13 @@ html.Div(id='output-processing'), dcc.Loading(id='loading-2', children=[html.Div(id='loading-output-2')], type='default') ], style={ - '-webkit-box-shadow': '7px 7px 5px -4px rgba(0,0,0,0.25)', - '-moz-box-shadow': '7px 7px 5px -4px rgba(0,0,0,0.25)', - 'box-shadow': '7px 7px 5px -4px rgba(0,0,0,0.25)', + '-webkit-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + '-moz-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', 'margin': '0px', 'margin-left': '10px', - 'width': '80%', + 'flex': '3', + 'height':'100%', 'background-color': '#FFFFFF', 'padding': '20px', 'border-radius': '5px', @@ -138,15 +138,18 @@ }) ], style = { 'width':'100%', + 'height':'100%', 'display': '-webkit-flex', '-webkit-flex-direction': 'row', 'display': 'flex', + 'flex-wrap': 'wrap', 'flex-direction': 'row', 'margin': '0px', 'padding': '0px', }) ], style = { 'width':'100%', + 'height':'100%', 'display': '-webkit-flex', '-webkit-flex-direction': 'column', 'display': 'flex', @@ -158,7 +161,7 @@ @app.callback(Output('tabs-content', 'children'), [Input('tabs', 'value')]) -def render_content(tab): +def render_content1(tab): global result count = len(result.Subjects[0].MIXprop[0]) if tab == 'tab-1': @@ -187,7 +190,12 @@ def render_content(tab): figure=go.Figure(data=go.Heatmap( z=np.transpose(items), x=result.Subjects[0].MIXprop[0].index, - y=result.Subjects[0].MIXprop[0].columns), + y=result.Subjects[0].MIXprop[0].columns, + colorscale= [ + [0.0, 'rgb(255,255,255)'], + [1.0, 'rgb(255,0,0)'] + ] + ), layout=go.Layout( height=700 ) @@ -252,6 +260,46 @@ def render_content(tab): ) ]) +@app.callback(Output('tabs2-content', 'children'), + [Input('tabs2', 'value')]) +def render_content2(tab): + if tab == 'tab2-1': + return html.Div([ + html.H4('Finished Process'), + html.A('Download result', href='/download_result/') + ]) + elif tab == 'tab2-2': + return html.Div([ + dcc.Tabs(id='tabs3', value='tab3-1', children=[ + dcc.Tab(label='Absolute', value='tab3-1'), + dcc.Tab(label='Proportions', value='tab3-2'), + dcc.Tab(label='Metrics', value='tab3-3'), + ]), + dt.DataTable(id='tabs3-content', style_table={'overflowX': 'scroll'}) + ]) + elif tab == 'tab2-3': + return html.Div([ + dcc.Tabs(id='tabs', value='tab-1', children=[ + dcc.Tab(label='Bar Plot', value='tab-1'), + dcc.Tab(label='Heatmaps', value='tab-2'), + dcc.Tab(label='Immuno Content Score', value='tab-3'), + ]), + html.Div(id='tabs-content') + ]) + +@app.callback([Output('tabs3-content', 'data'), Output('tabs3-content', 'columns')], + [Input('tabs3', 'value')]) +def update_data(tab): + global result + absolute = result.Subjects[0].MIXabs[0].reset_index() + proportions = result.Subjects[0].MIXprop[0].reset_index() + metrics = result.Subjects[0].ACCmetrix[0].reset_index() + if tab == 'tab3-1': + return [absolute.to_dict('records'), [{"name": i, "id": i} for i in absolute.columns]] + elif tab == 'tab3-2': + return [proportions.to_dict('records'), [{"name": i, "id": i} for i in proportions.columns]] + elif tab == 'tab3-3': + return [metrics.to_dict('records'), [{"name": i, "id": i} for i in metrics.columns]] def parse_contents(contents, filename, date): content_type, content_string = contents.split(',') @@ -280,7 +328,7 @@ def parse_contents(contents, filename, date): filename_expression = filename return html.Div([ - html.H5('Expressions File:' + filename), + html.P('Selected:' + filename), #html.H6(datetime.datetime.fromtimestamp(date)), #dash_table.DataTable( @@ -318,7 +366,7 @@ def update_output(list_of_contents, list_of_names, list_of_dates): dash.dependencies.State('population-input', 'value')]) def update_output(n_clicks, signature, cpu, population): - global expression, result, pValues + global expression, result, pValues, tableMetrics if n_clicks is not None: @@ -332,15 +380,15 @@ def update_output(n_clicks, signature, cpu, population): if __name__ == '__main__': result, pValues = Mixture.Mixture(X, Y , cpu, population, '') - children = [ - html.H4('Finished Process'), - html.A('Download result', href='/download_result/'), - dcc.Tabs(id='tabs', value='tab-1', children=[ - dcc.Tab(label='Bar Plot', value='tab-1'), - dcc.Tab(label='Heatmaps', value='tab-2'), - dcc.Tab(label='Immuno Content Score', value='tab-3'), + metrics = result.Subjects[0].ACCmetrix[0].reset_index() + + children = [ + dcc.Tabs(id='tabs2', value='tab2-1', children=[ + dcc.Tab(label='Download', value='tab2-1'), + dcc.Tab(label='Tables', value='tab2-2'), + dcc.Tab(label='Plots', value='tab2-3'), ]), - html.Div(id='tabs-content') + html.Div(id='tabs2-content') ] return children From 12db1f08a3da985683e094856af9d3a67acb6894 Mon Sep 17 00:00:00 2001 From: MsMatias Date: Sat, 12 Oct 2019 13:54:24 -0300 Subject: [PATCH 02/52] change name --- .gitignore | 6 +++++ prueba2_dash.py => MixturePy.py | 0 MixturePy.spec | 33 +++++++++++++++++++++++++++ __pycache__/MixturePy.cpython-36.pyc | Bin 0 -> 9522 bytes prueba_dash.py | 31 ------------------------- 5 files changed, 39 insertions(+), 31 deletions(-) rename prueba2_dash.py => MixturePy.py (100%) create mode 100644 MixturePy.spec create mode 100644 __pycache__/MixturePy.cpython-36.pyc delete mode 100644 prueba_dash.py diff --git a/.gitignore b/.gitignore index 7c12220..57a6e7c 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1,7 @@ +#Ignore all file xlsx/xls *.xlsx +*.xls + +#Ignore dist and build folder +build/ +dist/ diff --git a/prueba2_dash.py b/MixturePy.py similarity index 100% rename from prueba2_dash.py rename to MixturePy.py diff --git a/MixturePy.spec b/MixturePy.spec new file mode 100644 index 0000000..f16b4e1 --- /dev/null +++ b/MixturePy.spec @@ -0,0 +1,33 @@ +# -*- mode: python ; coding: utf-8 -*- + +block_cipher = None + + +a = Analysis(['MixturePy.py'], + pathex=['/home/matias/MixturePy'], + binaries=[], + datas=[], + hiddenimports=[], + hookspath=[], + runtime_hooks=[], + excludes=[], + win_no_prefer_redirects=False, + win_private_assemblies=False, + cipher=block_cipher, + noarchive=False) +pyz = PYZ(a.pure, a.zipped_data, + cipher=block_cipher) +exe = EXE(pyz, + a.scripts, + a.binaries, + a.zipfiles, + a.datas, + [], + name='MixturePy', + debug=False, + bootloader_ignore_signals=False, + strip=False, + upx=True, + upx_exclude=[], + runtime_tmpdir=None, + console=True ) diff --git a/__pycache__/MixturePy.cpython-36.pyc b/__pycache__/MixturePy.cpython-36.pyc new file mode 100644 index 0000000000000000000000000000000000000000..e24e99531addaee513ab4fa923316ff5361646f0 GIT binary patch literal 9522 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z9qI-UTk2v~CIBAQ56Jr-rFTuz_~M5Y5f&1^L(%V2G{j0U9e;-cydn*p`cQY>o-A&A z;H7?F>faQd!RfL0~E1Nil$k2*s1kK<*GjU#EB<`h8H7$`sW&bQ9Q7Qy8`Z`cXAS#UVeW z8yQlhuhyncD5|un;j6VrF&+coGFc<=9mBXv@%SM)23dIv%BDJYM;1xO9^wIu3wkEt z0iK<>k~#64m=<>Sr}&89qG%J5%-v00HL~zN?#XZA^(wjvQBqWGMUcY$#y#9=58#IA zHdpBJOFjCL6v$CGYHXKR_lZ9y=6_0&5}y$=5dMd1OxsXF&}C5O0SHpTxF2OBDOajWMkrXc-Th9?mRHN|+Q;uX2JY zU=IXY(@r-Gu;)>Ft4XWKL9w%nPPHtmRxw?1#P_JcUWP4AcS}y-VKesErs^GWxCxiE{t5@_DBy+0laPmv@jS|*ibGS+~7lRhqXtE!^!ci60RM=Y7n@ zW#V(nLoY2Mafst(CjZ8iB$pX|F776~w%u{nsy_uyxmi*w+TlpZ=^-ZDH6pko+ zS=zZpaA{(O7&1Cl5&_NJ3mWM>cF6ef-Xil?0AhMRe+|NJFSIMOAL-4!+34u~LRRX4`pV=p|#f`^7OGV+vg1+(92j!vO#wE(5Ba zd2-WCQSWf_4C?oOsclg|vZt4wR8O{jvZQR5^ht(rWKy3T%}-;_7~^D~W>Qv0;>fXy NqZU$>J2GC>{|6E>syqMy literal 0 HcmV?d00001 diff --git a/prueba_dash.py b/prueba_dash.py deleted file mode 100644 index 73acb73..0000000 --- a/prueba_dash.py +++ /dev/null @@ -1,31 +0,0 @@ -import dash -import dash_core_components as dcc -import dash_html_components as html - -external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] - -app = dash.Dash(__name__, external_stylesheets=external_stylesheets) - -app.layout = html.Div(children=[ - html.H1(children='Hello Dash'), - - html.Div(children=''' - Dash: A web application framework for Python. - '''), - - dcc.Graph( - id='example-graph', - figure={ - 'data': [ - {'x': [1, 2, 3], 'y': [4, 1, 2], 'type': 'bar', 'name': 'SF'}, - {'x': [1, 2, 3], 'y': [2, 4, 5], 'type': 'bar', 'name': u'MontrĂ©al'}, - ], - 'layout': { - 'title': 'Dash Data Visualization' - } - } - ) -]) - -if __name__ == '__main__': - app.run_server(debug=True) From 80f0a7a7a3a4c08db2404e06cbc67bd0319b119d Mon Sep 17 00:00:00 2001 From: Matias Miranda Date: Sat, 12 Oct 2019 15:58:46 -0300 Subject: [PATCH 03/52] freeze --- app/app.py | 445 ++++++++++++++++++++++++++++++++++++++++++++++++++ app/server.py | 5 + app/setup.py | 30 ++++ 3 files changed, 480 insertions(+) create mode 100644 app/app.py create mode 100644 app/server.py create mode 100644 app/setup.py diff --git a/app/app.py b/app/app.py new file mode 100644 index 0000000..b34d0fe --- /dev/null +++ b/app/app.py @@ -0,0 +1,445 @@ +import base64 +import datetime +import io +import Mixture +import multiprocessing + +import numpy as np + +import dash +from dash.dependencies import Input, Output, State +import dash_core_components as dcc +import dash_html_components as html +import dash_table as dt +from flask import send_file +import plotly.graph_objects as go + +import pandas as pd + +expression = '' +filename_expression = '' +result = '' +pValues = '' +tableMetrics = '' + +cores = 4 +output = '' + +external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] + +#app = dash.Dash(__name__, external_stylesheets=external_stylesheets) +app = dash.Dash(__name__) +server = app.server +app.config['suppress_callback_exceptions'] = True +app.css.config.serve_locally = True + +app.layout = html.Div([ + html.Link( + rel='stylesheet', + href='/assets/css/main.css' + ), + html.Div([ + html.Img(src='assets/img/logo_mixture.png', style = { + 'width': '300px' + }), + #html.H2('MIXTURE'), + html.H6('an improved algorithm for immune tumor microenvironment estimation based on gene expression data', style = { + 'margin-top': '-20px' + }) + ]), + html.Div([ + html.Div([ + html.P('Expression file:'), + dcc.Upload( + id='upload-data', + children=html.Div([ + 'Drag and Drop or ', + html.A('Select File') + ]), style={ + 'width': '100%', + 'height': '60px', + 'lineHeight': '60px', + 'borderWidth': '1px', + 'borderStyle': 'dashed', + 'borderRadius': '5px', + 'textAlign': 'center', + 'margin': '10px' + }, + # Allow multiple files to be uploaded + multiple=True + ), + dcc.Loading(id="loading-1", children=[html.Div(id="loading-output-1")], type="default"), + html.P('Signature Data:'), + dcc.Dropdown( + id='signature-input', + options=[ + {'label': 'LM22', 'value': 'LM22'}, + {'label': 'TIL10', 'value': 'TIL10'}, + ], + value='LM22' + ), + html.P('Number of permutation samples:', style={ + 'margin-top': '10px' + }), + dcc.Input( + id='population-input', + placeholder='Enter a value...', + type='number', + min='1', + value='' + ), + html.P('CPUs:', style={ + 'margin-top': '10px' + }), + dcc.Slider( + id='cpu-slider', + min=1, + max=multiprocessing.cpu_count(), + step=1, + marks={i: '{}'.format(i) for i in range(multiprocessing.cpu_count()+1)}, + value=multiprocessing.cpu_count() + ), + html.Button('Submit', id='button', style = { + 'margin-top': '30px' + }) + ], style={ + '-webkit-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + '-moz-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'margin': '0px', + 'flex': '1', + 'height':'100%', + 'background-color': '#FFFFFF', + 'padding': '20px', + 'border-radius': '5px', + 'display': '-webkit-flex', + '-webkit-flex-direction': 'column', + 'display': 'flex', + 'flex-direction': 'column', + }), + html.Div([ + html.Div(id='output-processing'), + dcc.Loading(id='loading-2', children=[html.Div(id='loading-output-2')], type='default') + ], style={ + '-webkit-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + '-moz-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'margin': '0px', + 'margin-left': '10px', + 'flex': '3', + 'height':'100%', + 'background-color': '#FFFFFF', + 'padding': '20px', + 'border-radius': '5px', + 'display': '-webkit-flex', + '-webkit-flex-direction': 'column', + 'display': 'flex', + 'flex-direction': 'column', + }) + ], style = { + 'width':'100%', + 'height':'100%', + 'display': '-webkit-flex', + '-webkit-flex-direction': 'row', + 'display': 'flex', + 'flex-wrap': 'wrap', + 'flex-direction': 'row', + 'margin': '0px', + 'padding': '0px', +}) +], style = { + 'width':'100%', + 'height':'100%', + 'display': '-webkit-flex', + '-webkit-flex-direction': 'column', + 'display': 'flex', + 'flex-direction': 'column', + 'margin': '0px', + 'padding': '0px', + 'background-color': '#F7F7F7', +}) + +@app.callback(Output('tabs-content', 'children'), + [Input('tabs', 'value')]) +def render_content1(tab): + global result + count = len(result.Subjects[0].MIXprop[0]) + if tab == 'tab-1': + xLabel = result.Subjects[0].MIXprop[0].index + columns = result.Subjects[0].MIXprop[0].columns + return html.Div([ + html.H3('Bar Plot Subject-Proportions'), + dcc.Graph( + id='graph-1-tabs', + figure=go.Figure( + data=[go.Bar(x=xLabel, y=[result.Subjects[0].MIXprop[0].iloc[j].values[i] for j in range(count)], name = columns[i]) for i in range(len(columns))], + layout=go.Layout( + barmode='relative', + title_text='Bar Plot', + height=700 + ) + ) + ) + ]) + elif tab == 'tab-2': + items = [result.Subjects[0].MIXprop[0].iloc[j].values for j in range(len(result.Subjects[0].MIXprop[0]))] + return html.Div([ + html.H3('Heatmaps of estimated cell-type proportion values'), + dcc.Graph( + id='graph-2', + figure=go.Figure(data=go.Heatmap( + z=np.transpose(items), + x=result.Subjects[0].MIXprop[0].index, + y=result.Subjects[0].MIXprop[0].columns, + colorscale= [ + [0.0, 'rgb(255,255,255)'], + [1.0, 'rgb(255,0,0)'] + ] + ), + layout=go.Layout( + height=700 + ) + ) + ) + ]) + elif tab == 'tab-3': + mean = np.mean(result.Subjects[0].ACCmetrix[0].IscBySbj.values) + std = np.std(result.Subjects[0].ACCmetrix[0].IscBySbj.values) + return html.Div([ + html.H3('Immuno Content Score (Population Based)'), + dcc.Graph( + id='graph-2', + figure=go.Figure( + data=[go.Scatter( + x=result.Subjects[0].ACCmetrix[0].index, + y=result.Subjects[0].ACCmetrix[0].IscBySbj.values, + mode='markers' + )], + layout=go.Layout( + shapes=[ + go.layout.Shape( + type="line", + x0=-1, + y0=mean, + x1=count, + y1=mean, + line=dict( + color="red", + width=2, + dash="dashdot", + ), + ), + go.layout.Shape( + type="line", + x0=-1, + y0=(mean+2*std), + x1=count, + y1=(mean+2*std), + line=dict( + color="blue", + width=2, + dash="dashdot", + ), + ), + go.layout.Shape( + type="line", + x0=-1, + y0=(mean-2*std), + x1=count, + y1=(mean-2*std), + line=dict( + color="blue", + width=2, + dash="dashdot", + ), + ) + ], + height=700 + ) + ) + ) + ]) + +@app.callback(Output('tabs2-content', 'children'), + [Input('tabs2', 'value')]) +def render_content2(tab): + if tab == 'tab2-1': + return html.Div([ + html.H4('Finished Process'), + html.A('Download result', href='/download_result/') + ]) + elif tab == 'tab2-2': + return html.Div([ + dcc.Tabs(id='tabs3', value='tab3-1', children=[ + dcc.Tab(label='Absolute', value='tab3-1'), + dcc.Tab(label='Proportions', value='tab3-2'), + dcc.Tab(label='Metrics', value='tab3-3'), + ]), + dt.DataTable(id='tabs3-content', style_table={'overflowX': 'scroll'}) + ]) + elif tab == 'tab2-3': + return html.Div([ + dcc.Tabs(id='tabs', value='tab-1', children=[ + dcc.Tab(label='Bar Plot', value='tab-1'), + dcc.Tab(label='Heatmaps', value='tab-2'), + dcc.Tab(label='Immuno Content Score', value='tab-3'), + ]), + html.Div(id='tabs-content') + ]) + +@app.callback([Output('tabs3-content', 'data'), Output('tabs3-content', 'columns')], + [Input('tabs3', 'value')]) +def update_data(tab): + global result + absolute = result.Subjects[0].MIXabs[0].reset_index() + proportions = result.Subjects[0].MIXprop[0].reset_index() + metrics = result.Subjects[0].ACCmetrix[0].reset_index() + if tab == 'tab3-1': + return [absolute.to_dict('records'), [{"name": i, "id": i} for i in absolute.columns]] + elif tab == 'tab3-2': + return [proportions.to_dict('records'), [{"name": i, "id": i} for i in proportions.columns]] + elif tab == 'tab3-3': + return [metrics.to_dict('records'), [{"name": i, "id": i} for i in metrics.columns]] + +def parse_contents(contents, filename, date): + content_type, content_string = contents.split(',') + + global expression, filename_expression + + decoded = base64.b64decode(content_string) + try: + if 'csv' in filename: + # Assume that the user uploaded a CSV file + df = pd.read_csv( + io.StringIO(decoded.decode('utf-8'))) + elif 'xls' in filename or 'xlsx' in filename: + # Assume that the user uploaded an excel file + #df = pd.read_excel(io.BytesIO(decoded), sheet_name = 0) + expression = io.BytesIO(decoded) + + except Exception as e: + print(e) + return html.Div([ + 'There was an error processing this file.' + ]) + + #df_expression = df + + filename_expression = filename + + return html.Div([ + html.P('Selected:' + filename), + #html.H6(datetime.datetime.fromtimestamp(date)), + + #dash_table.DataTable( + # data=df.to_dict('records'), + # columns=[{'name': i, 'id': i} for i in df.columns] + #), + + #html.Hr(), # horizontal line + + # For debugging, display the raw contents provided by the web browser + #html.Div('Raw Content'), + #html.Pre(contents[0:200] + '...', style={ + # 'whiteSpace': 'pre-wrap', + # 'wordBreak': 'break-all' + #}) + ]) + + +@app.callback(Output('loading-output-1', 'children'), + [Input('upload-data', 'contents')], + [State('upload-data', 'filename'), + State('upload-data', 'last_modified')]) +def update_output(list_of_contents, list_of_names, list_of_dates): + if list_of_contents is not None: + children = [ + parse_contents(c, n, d) for c, n, d in + zip(list_of_contents, list_of_names, list_of_dates)] + return children + +@app.callback( + Output("loading-output-2", "children"), + [dash.dependencies.Input('button', 'n_clicks')], + [dash.dependencies.State('signature-input', 'value'), + dash.dependencies.State('cpu-slider', 'value'), + dash.dependencies.State('population-input', 'value')]) +def update_output(n_clicks, signature, cpu, population): + + global expression, result, pValues, tableMetrics + + if n_clicks is not None: + + if signature == 'LM22': + X = pd.read_excel('data/LM22Signature.xlsx', sheet_name = 0) + elif signature == 'TIL10': + X = pd.read_excel('data/TIL10_signature.xlsx', sheet_name = 0) + + Y = pd.read_excel(expression, sheet_name = 0) + + if __name__ == '__main__': + result, pValues = Mixture.Mixture(X, Y , cpu, population, '') + + metrics = result.Subjects[0].ACCmetrix[0].reset_index() + + children = [ + dcc.Tabs(id='tabs2', value='tab2-1', children=[ + dcc.Tab(label='Download', value='tab2-1'), + dcc.Tab(label='Tables', value='tab2-2'), + dcc.Tab(label='Plots', value='tab2-3'), + ]), + html.Div(id='tabs2-content') + ] + + return children + +@app.server.route('/download_result/') +def download_excel (): + + global result, pValues, filename_expression + + strIO = io.BytesIO() + excel_writer = pd.ExcelWriter(strIO, engine="xlsxwriter") + result.Subjects[0].MIXabs[0].to_excel(excel_writer, sheet_name='Absolute') + result.Subjects[0].MIXprop[0].to_excel(excel_writer, sheet_name='Proportions') + result.Subjects[0].ACCmetrix[0].to_excel(excel_writer, sheet_name='Metrics') + pValues.to_excel(excel_writer, sheet_name='Pvalues') + result.usedGenes[0].to_excel(excel_writer, sheet_name='UsedGenes', index=False) + excel_writer.save() + excel_data = strIO.getvalue() + strIO.seek(0) + + return send_file(strIO, attachment_filename='result_' + filename_expression, as_attachment=True) + +#@app.callback( +# dash.dependencies.Output('button', 'style'), +# [dash.dependencies.Input('button', 'n_clicks'), +# Input('upload-data', 'contents')]) +#def update_output_hidden_button(n_clicks, contents): +# if n_clicks is not None: +# return {'display': 'none'} +# if contents is not None: +# return {'display': 'block'} + +@app.callback( + dash.dependencies.Output('output-processing', 'children'), + [dash.dependencies.Input('button', 'n_clicks')], + [dash.dependencies.State('signature-input', 'value'), + dash.dependencies.State('population-input', 'value')]) +def input_triggers_spinner_2(value, signature, population): + if value is not None: + children = [ + #html.P('Processing data...', style = { + # 'margin-top': '10px' + #}), + #html.P('Signature: ' + str(signature), style = { + # 'margin-top': '10px' + #}), + #html.P('Population based : ' + str(population), style = { + # 'margin-top': '10px' + #}) + ] + #return children + +if __name__ == '__main__': + app.run_server(debug=True) \ No newline at end of file diff --git a/app/server.py b/app/server.py new file mode 100644 index 0000000..6a18053 --- /dev/null +++ b/app/server.py @@ -0,0 +1,5 @@ +from waitress import serve + +from app import server + +serve(server) \ No newline at end of file diff --git a/app/setup.py b/app/setup.py new file mode 100644 index 0000000..13b9eb3 --- /dev/null +++ b/app/setup.py @@ -0,0 +1,30 @@ +from setuptools import find_packages +from cx_Freeze import setup, Executable + + +options = { + 'build_exe': { + 'includes': [ + 'cx_Logging', 'idna', + ], + 'packages': [ + 'asyncio', 'flask', 'jinja2', 'dash', 'plotly', 'waitress' + ], + 'excludes': ['tkinter'] + } +} + +executables = [ + Executable('server.py', + base='console', + targetName='halliburton_dash_rig.exe') +] + +setup( + name='halliburton_dash_rig', + packages=find_packages(), + version='0.4.0', + description='rig', + executables=executables, + options=options +) \ No newline at end of file From d6b41cd86928f01c63c816c334ed5bb8d9f521b6 Mon Sep 17 00:00:00 2001 From: MsMatias Date: Sat, 12 Oct 2019 17:10:57 -0300 Subject: [PATCH 04/52] hooks --- MixturePy.py | 2 +- MixturePy.spec | 16 ++++++++++------ __pycache__/MixturePy.cpython-36.pyc | Bin 9522 -> 9552 bytes __pycache__/hook-scipy.cpython-36.pyc | Bin 0 -> 199 bytes app/__pycache__/app.cpython-36.pyc | Bin 0 -> 9520 bytes app/setup.py | 15 +++++++++++---- hook-scipy.py | 2 ++ hook-sklearn.py | 2 ++ 8 files changed, 26 insertions(+), 11 deletions(-) create mode 100644 __pycache__/hook-scipy.cpython-36.pyc create mode 100644 app/__pycache__/app.cpython-36.pyc create mode 100644 hook-scipy.py create mode 100644 hook-sklearn.py diff --git a/MixturePy.py b/MixturePy.py index b34d0fe..8ccbb3c 100644 --- a/MixturePy.py +++ b/MixturePy.py @@ -442,4 +442,4 @@ def input_triggers_spinner_2(value, signature, population): #return children if __name__ == '__main__': - app.run_server(debug=True) \ No newline at end of file + app.run_server(debug=True, host='0.0.0.0', port=8050) \ No newline at end of file diff --git a/MixturePy.spec b/MixturePy.spec index f16b4e1..addf276 100644 --- a/MixturePy.spec +++ b/MixturePy.spec @@ -8,7 +8,7 @@ a = Analysis(['MixturePy.py'], binaries=[], datas=[], hiddenimports=[], - hookspath=[], + hookspath=['.'], runtime_hooks=[], excludes=[], win_no_prefer_redirects=False, @@ -19,15 +19,19 @@ pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher) exe = EXE(pyz, a.scripts, - a.binaries, - a.zipfiles, - a.datas, [], + exclude_binaries=True, name='MixturePy', debug=False, bootloader_ignore_signals=False, strip=False, upx=True, - upx_exclude=[], - runtime_tmpdir=None, console=True ) +coll = COLLECT(exe, + a.binaries, + a.zipfiles, + a.datas, + strip=False, + upx=True, + upx_exclude=[], + name='MixturePy') diff --git a/__pycache__/MixturePy.cpython-36.pyc b/__pycache__/MixturePy.cpython-36.pyc index 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"console" +else: + base = ".py" + + executables = [ Executable('server.py', - base='console', - targetName='halliburton_dash_rig.exe') + base=base) ] setup( - name='halliburton_dash_rig', + name='MixturePy', packages=find_packages(), version='0.4.0', description='rig', executables=executables, options=options -) \ No newline at end of file +) diff --git a/hook-scipy.py b/hook-scipy.py new file mode 100644 index 0000000..b675a70 --- /dev/null +++ b/hook-scipy.py @@ -0,0 +1,2 @@ +from hooks import collect_submodules +hiddenimports = collect_submodules('scipy') diff --git a/hook-sklearn.py b/hook-sklearn.py new file mode 100644 index 0000000..cf20824 --- /dev/null +++ b/hook-sklearn.py @@ -0,0 +1,2 @@ +from hooks import collect_submodules +hiddenimports = collect_submodules('sklearn') From e31c98a21b4b6f3cc579bb4f6091586c4d38ebe6 Mon Sep 17 00:00:00 2001 From: MsMatias Date: Sat, 12 Oct 2019 17:19:48 -0300 Subject: [PATCH 05/52] test pyinstall --- __pycache__/hook-scipy.cpython-36.pyc | Bin 199 -> 217 bytes __pycache__/hook-sklearn.cpython-36.pyc | Bin 0 -> 221 bytes hook-scipy.py | 2 +- hook-sklearn.py | 2 +- 4 files changed, 2 insertions(+), 2 deletions(-) create mode 100644 __pycache__/hook-sklearn.cpython-36.pyc diff --git a/__pycache__/hook-scipy.cpython-36.pyc b/__pycache__/hook-scipy.cpython-36.pyc index a27ec5fdb4f2b67ada0a7a8516419f69b65e7956..39553d99f9528f14c68eca87391fb52420f10b3d 100644 GIT binary patch delta 75 zcmX@kc$1OSn3tF9qVb~Gl!=@%W>Mk+m7aOUC5bsXsYQCFC7C(JdKvlo*~LXn3=9mn ecr!9nQd09Wa|`l|N{Ux96tMzDi&!Ui+5rH*wixpO delta 33 pcmcb~c$|^bn3tF9l+mKtpoyF@Ot)AkR?4ukF)%O`u}z$92LPn)2|EA) diff --git a/__pycache__/hook-sklearn.cpython-36.pyc b/__pycache__/hook-sklearn.cpython-36.pyc new file mode 100644 index 0000000000000000000000000000000000000000..5b6871fdc33e0be8306c612ec2a6f391ff7f64d4 GIT binary patch literal 221 zcmXr!<>h)}yeKw}fq~&M5W@izkmUfx#S%awg&~D8has0Sijk2al`(~>nK6nfg*li( zljS8)mO+#8mQZqjPEKlaNqli>Qf_`qX-;bKE%xHn5DDi+w&%EN2M4+M~ zz0#7*oMOF<{QT_VB9J||cr!9nQd09Wa|`l|N{Ux96tMzD!Ne~${fzwFRQ=qu0= Date: Sat, 12 Oct 2019 17:35:02 -0300 Subject: [PATCH 06/52] requirements --- .gitignore | 4 ++++ MixturePy.spec | 16 ++++++---------- __pycache__/MixturePy.cpython-37.pyc | Bin 0 -> 9565 bytes __pycache__/hook-scipy.cpython-37.pyc | Bin 0 -> 241 bytes __pycache__/hook-sklearn.cpython-37.pyc | Bin 0 -> 245 bytes app/__pycache__/app.cpython-37.pyc | Bin 0 -> 9533 bytes requirements.txt | 6 ++++++ 7 files changed, 16 insertions(+), 10 deletions(-) create mode 100644 __pycache__/MixturePy.cpython-37.pyc create mode 100644 __pycache__/hook-scipy.cpython-37.pyc create mode 100644 __pycache__/hook-sklearn.cpython-37.pyc create mode 100644 app/__pycache__/app.cpython-37.pyc create mode 100644 requirements.txt diff --git a/.gitignore b/.gitignore index 57a6e7c..9687ed3 100644 --- a/.gitignore +++ b/.gitignore @@ -5,3 +5,7 @@ #Ignore dist and build folder build/ dist/ +app/dist/ +app/build/ + +MixturePy.spec \ No newline at end of file diff --git a/MixturePy.spec b/MixturePy.spec index addf276..67a0d2b 100644 --- a/MixturePy.spec +++ b/MixturePy.spec @@ -4,7 +4,7 @@ block_cipher = None a = Analysis(['MixturePy.py'], - pathex=['/home/matias/MixturePy'], + pathex=['C:\\Users\\MIRIAM\\Documents\\GitHub\\MixturePy'], binaries=[], datas=[], hiddenimports=[], @@ -19,19 +19,15 @@ pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher) exe = EXE(pyz, a.scripts, + a.binaries, + a.zipfiles, + a.datas, [], - exclude_binaries=True, name='MixturePy', debug=False, bootloader_ignore_signals=False, strip=False, upx=True, + upx_exclude=[], + runtime_tmpdir=None, console=True ) -coll = COLLECT(exe, - a.binaries, - a.zipfiles, - a.datas, - strip=False, - upx=True, - upx_exclude=[], - name='MixturePy') diff --git a/__pycache__/MixturePy.cpython-37.pyc b/__pycache__/MixturePy.cpython-37.pyc new file mode 100644 index 0000000000000000000000000000000000000000..985bea2cac601a7746b232ceb18125b16ccf0d36 GIT binary patch literal 9565 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CSitrG diff --git a/app/assets/css/main.css b/app/assets/css/main.css new file mode 100644 index 0000000..b249e9a --- /dev/null +++ b/app/assets/css/main.css @@ -0,0 +1,416 @@ +/* Table of contents +–––––––––––––––––––––––––––––––––––––––––––––––––– +- Plotly.js +- Grid +- Base Styles +- Typography +- Links +- Buttons +- Forms +- Lists +- Code +- Tables +- Spacing +- Utilities +- Clearing +- Media Queries +*/ + +/* PLotly.js +–––––––––––––––––––––––––––––––––––––––––––––––––– */ +/* plotly.js's modebar's z-index is 1001 by default + * https://github.com/plotly/plotly.js/blob/7e4d8ab164258f6bd48be56589dacd9bdd7fded2/src/css/_modebar.scss#L5 + * In case a dropdown is above the graph, the dropdown's options + * will be rendered below the modebar + * Increase the select option's z-index + */ + +/* This was actually not quite right - + dropdowns were overlapping each other (edited October 26) + +.Select { + z-index: 1002; +}*/ + + +/* Grid +–––––––––––––––––––––––––––––––––––––––––––––––––– */ +.container { + position: relative; + width: 100%; + max-width: 960px; + margin: 0 auto; + padding: 0 20px; + box-sizing: border-box; } +.column, +.columns { + width: 100%; + float: left; + box-sizing: border-box; } + +/* For devices larger than 400px */ +@media (min-width: 400px) { + .container { + width: 85%; + padding: 0; } +} + +/* For devices larger than 550px */ +@media (min-width: 550px) { + .container { + width: 80%; } + .column, + .columns { + margin-left: 4%; } + .column:first-child, + .columns:first-child { + margin-left: 0; } + + .one.column, + .one.columns { width: 4.66666666667%; } + .two.columns { width: 13.3333333333%; } + .three.columns { width: 22%; } + .four.columns { width: 30.6666666667%; } + .five.columns { width: 39.3333333333%; } + .six.columns { width: 48%; } + .seven.columns { width: 56.6666666667%; } + .eight.columns { width: 65.3333333333%; } + .nine.columns { width: 74.0%; } + .ten.columns { width: 82.6666666667%; } + .eleven.columns { width: 91.3333333333%; } + .twelve.columns { width: 100%; margin-left: 0; } + + .one-third.column { width: 30.6666666667%; } + .two-thirds.column { width: 65.3333333333%; } + + .one-half.column { width: 48%; } + + /* Offsets */ + .offset-by-one.column, + .offset-by-one.columns { margin-left: 8.66666666667%; } + .offset-by-two.column, + .offset-by-two.columns { margin-left: 17.3333333333%; } + .offset-by-three.column, + .offset-by-three.columns { margin-left: 26%; } + .offset-by-four.column, + .offset-by-four.columns { margin-left: 34.6666666667%; } + .offset-by-five.column, + .offset-by-five.columns { margin-left: 43.3333333333%; } + .offset-by-six.column, + .offset-by-six.columns { margin-left: 52%; } + .offset-by-seven.column, + .offset-by-seven.columns { margin-left: 60.6666666667%; } + .offset-by-eight.column, + .offset-by-eight.columns { margin-left: 69.3333333333%; } + .offset-by-nine.column, + .offset-by-nine.columns { margin-left: 78.0%; } + .offset-by-ten.column, + .offset-by-ten.columns { margin-left: 86.6666666667%; } + .offset-by-eleven.column, + .offset-by-eleven.columns { margin-left: 95.3333333333%; } + + .offset-by-one-third.column, + .offset-by-one-third.columns { margin-left: 34.6666666667%; } + .offset-by-two-thirds.column, + .offset-by-two-thirds.columns { margin-left: 69.3333333333%; } + + .offset-by-one-half.column, + .offset-by-one-half.columns { margin-left: 52%; } + +} + + +/* Base Styles +–––––––––––––––––––––––––––––––––––––––––––––––––– */ +/* NOTE +html is set to 62.5% so that all the REM measurements throughout Skeleton +are based on 10px sizing. So basically 1.5rem = 15px :) */ +html { + font-size: 62.5%; } +body { + background-color: #F7F7F7; + font-size: 1.5em; /* currently ems cause chrome bug misinterpreting rems on body element */ + line-height: 1.6; + font-weight: 400; + font-family: "Open Sans", "HelveticaNeue", "Helvetica Neue", Helvetica, Arial, sans-serif; + color: rgb(50, 50, 50); } + + +/* Typography +–––––––––––––––––––––––––––––––––––––––––––––––––– */ +h1, h2, h3, h4, h5, h6 { + margin-top: 0; + margin-bottom: 0; + font-weight: 300; } +h1 { font-size: 4.5rem; line-height: 1.2; letter-spacing: -.1rem; margin-bottom: 2rem; } +h2 { font-size: 3.6rem; line-height: 1.25; letter-spacing: -.1rem; margin-bottom: 1.8rem; margin-top: 1.8rem;} +h3 { font-size: 3.0rem; line-height: 1.3; letter-spacing: -.1rem; margin-bottom: 1.5rem; margin-top: 1.5rem;} +h4 { font-size: 2.6rem; line-height: 1.35; letter-spacing: -.08rem; margin-bottom: 1.2rem; margin-top: 1.2rem;} +h5 { font-size: 2.2rem; line-height: 1.5; letter-spacing: -.05rem; margin-bottom: 0.6rem; margin-top: 0.6rem;} +h6 { font-size: 2.0rem; line-height: 1.6; letter-spacing: 0; margin-bottom: 0.75rem; margin-top: 0.75rem;} + +p { + margin-top: 0; } + + +/* Blockquotes +–––––––––––––––––––––––––––––––––––––––––––––––––– */ +blockquote { + border-left: 4px lightgrey solid; + padding-left: 1rem; + margin-top: 2rem; + margin-bottom: 2rem; + margin-left: 0rem; +} + + +/* Links +–––––––––––––––––––––––––––––––––––––––––––––––––– */ +a { + color: #1EAEDB; + text-decoration: underline; + cursor: pointer;} +a:hover { + color: #0FA0CE; } + + +/* Buttons +–––––––––––––––––––––––––––––––––––––––––––––––––– */ +.button, +button, +input[type="submit"], +input[type="reset"], +input[type="button"] { + display: inline-block; + height: 38px; + padding: 0 30px; + color: #555; + text-align: center; + font-size: 11px; + font-weight: 600; + line-height: 38px; + letter-spacing: .1rem; + text-transform: uppercase; + text-decoration: none; + white-space: nowrap; + background-color: transparent; + border-radius: 4px; + border: 1px solid #bbb; + cursor: pointer; + box-sizing: border-box; } +.button:hover, +button:hover, +input[type="submit"]:hover, +input[type="reset"]:hover, +input[type="button"]:hover, +.button:focus, +button:focus, +input[type="submit"]:focus, +input[type="reset"]:focus, +input[type="button"]:focus { + color: #333; + border-color: #888; + outline: 0; } +.button.button-primary, +button.button-primary, +input[type="submit"].button-primary, +input[type="reset"].button-primary, +input[type="button"].button-primary { + color: #FFF; + background-color: #33C3F0; + border-color: #33C3F0; } +.button.button-primary:hover, +button.button-primary:hover, +input[type="submit"].button-primary:hover, +input[type="reset"].button-primary:hover, +input[type="button"].button-primary:hover, +.button.button-primary:focus, +button.button-primary:focus, +input[type="submit"].button-primary:focus, +input[type="reset"].button-primary:focus, +input[type="button"].button-primary:focus { + color: #FFF; + background-color: #1EAEDB; + border-color: #1EAEDB; } + + +/* Forms +–––––––––––––––––––––––––––––––––––––––––––––––––– */ +input[type="email"], +input[type="number"], +input[type="search"], +input[type="text"], +input[type="tel"], +input[type="url"], +input[type="password"], +textarea, +select { + height: 38px; + padding: 6px 10px; /* The 6px vertically centers text on FF, ignored by Webkit */ + background-color: #fff; + border: 1px solid #D1D1D1; + border-radius: 4px; + box-shadow: none; + box-sizing: border-box; + font-family: inherit; + font-size: inherit; /*https://stackoverflow.com/questions/6080413/why-doesnt-input-inherit-the-font-from-body*/} +/* Removes awkward default styles on some inputs for iOS */ +input[type="email"], +input[type="number"], +input[type="search"], +input[type="text"], +input[type="tel"], +input[type="url"], +input[type="password"], +textarea { + -webkit-appearance: none; + -moz-appearance: none; + appearance: none; } +textarea { + min-height: 65px; + padding-top: 6px; + padding-bottom: 6px; } +input[type="email"]:focus, +input[type="number"]:focus, +input[type="search"]:focus, +input[type="text"]:focus, +input[type="tel"]:focus, +input[type="url"]:focus, +input[type="password"]:focus, +textarea:focus, +select:focus { + border: 1px solid #33C3F0; + outline: 0; } +label, +legend { + display: block; + margin-bottom: 0px; } +fieldset { + padding: 0; + border-width: 0; } +input[type="checkbox"], +input[type="radio"] { + display: inline; } +label > .label-body { + display: inline-block; + margin-left: .5rem; + font-weight: normal; } + + +/* Lists +–––––––––––––––––––––––––––––––––––––––––––––––––– */ +ul { + list-style: circle inside; } +ol { + list-style: decimal inside; } +ol, ul { + padding-left: 0; + margin-top: 0; } +ul ul, +ul ol, +ol ol, +ol ul { + margin: 1.5rem 0 1.5rem 3rem; + font-size: 90%; } +li { + margin-bottom: 1rem; } + + +/* Tables +–––––––––––––––––––––––––––––––––––––––––––––––––– */ +table { + border-collapse: collapse; +} +th:not(.CalendarDay), +td:not(.CalendarDay) { + padding: 12px 15px; + text-align: left; + border-bottom: 1px solid #E1E1E1; } +th:first-child:not(.CalendarDay), +td:first-child:not(.CalendarDay) { + padding-left: 0; } +th:last-child:not(.CalendarDay), +td:last-child:not(.CalendarDay) { + padding-right: 0; } + + +/* Spacing +–––––––––––––––––––––––––––––––––––––––––––––––––– */ +button, +.button { + margin-bottom: 0rem; } +input, +textarea, +select, +fieldset { + margin-bottom: 0rem; } +pre, +dl, +figure, +table, +form { + margin-bottom: 0rem; } +p, +ul, +ol { + margin-bottom: 0.75rem; } + +/* Utilities +–––––––––––––––––––––––––––––––––––––––––––––––––– */ +.u-full-width { + width: 100%; + box-sizing: border-box; } +.u-max-full-width { + max-width: 100%; + box-sizing: border-box; } +.u-pull-right { + float: right; } +.u-pull-left { + float: left; } + + +/* Misc +–––––––––––––––––––––––––––––––––––––––––––––––––– */ +hr { + margin-top: 3rem; + margin-bottom: 3.5rem; + border-width: 0; + border-top: 1px solid #E1E1E1; } + + +/* Clearing +–––––––––––––––––––––––––––––––––––––––––––––––––– */ + +/* Self Clearing Goodness */ +.container:after, +.row:after, +.u-cf { + content: ""; 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For example, if you wanted to change the styles for buttons +on small devices, paste the mobile query code up in the buttons section and style it +there. +*/ + + +/* Larger than mobile */ +@media (min-width: 400px) {} + +/* Larger than phablet (also point when grid becomes active) */ +@media (min-width: 550px) {} + +/* Larger than tablet */ +@media (min-width: 750px) {} + +/* Larger than desktop */ +@media (min-width: 1000px) {} + +/* Larger than Desktop HD */ +@media (min-width: 1200px) {} \ No newline at end of file diff --git a/app/assets/img/logo_mixture.png b/app/assets/img/logo_mixture.png new file mode 100644 index 0000000000000000000000000000000000000000..30b901a3ada6c6943d38d2c50d10f9408d51bfd7 GIT binary patch literal 16210 zcmdtJWmH_<)-G5D!6CQ=2=1QX?!n!H2d8j%DH1FpxO?#6u7wm3Ah^4`yL;DrPWQOy z8@IcE-245yKWgng_NcMvnrqEHpDEA!uBt49fl7=D001!LWTn&r0C)-j0LX%j2zw&P zIx7IXpg76ux&i=bxc~fsfV2!E*gtqcl9H;b){btDuGWrD6mpW16izOVmLNL|0KjXZ zJgQp0TNO`iG$MCHmHCaclUFm!{+aw7c@U0~(R4s?o<0(xX9u)j 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'plotly', 'waitress', 'scipy.signal', 'scipy.sparse', 'scipy.integrate', 'xlsxwriter' ], - 'excludes': ['tkinter'] + 'excludes': [ + 'tkinter', 'scipy.spatial.cKDTree' + ], + 'include_files': [ + 'assets/', + 'data/' + ] } } @@ -24,13 +30,14 @@ executables = [ Executable('server.py', - base=base) + base=base, + targetName='MixturePy.exe') ] setup( name='MixturePy', packages=find_packages(), - version='0.4.0', + version='0.5.0', description='rig', executables=executables, options=options diff --git a/requirements.txt b/requirements.txt index d3603b5..c85d9b4 100644 --- a/requirements.txt +++ b/requirements.txt @@ -3,4 +3,5 @@ dash-core-components dash-html-components cx_Freeze cx_Logging -waitress \ No newline at end of file +waitress +Mixture \ No newline at end of file From 3d51743de40e53ff7dce82b93edb04b61b61e798 Mon Sep 17 00:00:00 2001 From: Matias Miranda Date: Sat, 12 Oct 2019 20:25:44 -0300 Subject: [PATCH 08/52] data files --- app/data/LM22Signature.xlsx | Bin 0 -> 131303 bytes 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zaixy7peI8^IM?@>$iuG-zo)eG@4p{Yx%jS(y}iE<-nMl-Y~6m7*hX!Cs1o>jnkxS1 zR^s`hx7W~51orzTtP#!z-Q;ykpJoo zsK08O-O)!tXlq1-6Q?605hMH~r}l3-vA=R^|EK-`#nt{ZpMQ%4{S_bk$0*?x?eKj5 zFDbJB%;Dd1F@ME`{;?=H!TWzxxc@JKxBpE1Z!M0$iZcILANv0+{(tMs{AbdCt5y6J z>-fiDSpSD~$A2dLw|v82F^hk!9iGpBN?ZJA>VIns{FQk4$9~}aEA{^peE84g|0cix yD?sp%h2s4` Date: Sat, 12 Oct 2019 20:26:56 -0300 Subject: [PATCH 09/52] fix setup app --- app/setup.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/app/setup.py b/app/setup.py index 5a783c7..584e96f 100644 --- a/app/setup.py +++ b/app/setup.py @@ -27,12 +27,18 @@ else: base = ".py" - -executables = [ +if sys.platform == "win32": + executables = [ Executable('server.py', base=base, targetName='MixturePy.exe') ] +else: + executables = [ + Executable('server.py', + base=base) +] + setup( name='MixturePy', From 446393983d638499b548e34f6e0e652954ecd383 Mon Sep 17 00:00:00 2001 From: Matias Miranda Date: Sat, 12 Oct 2019 20:28:32 -0300 Subject: [PATCH 10/52] fix setup app --- app/setup.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/app/setup.py b/app/setup.py index 584e96f..6985f3e 100644 --- a/app/setup.py +++ b/app/setup.py @@ -35,8 +35,7 @@ ] else: executables = [ - Executable('server.py', - base=base) + Executable('server.py') ] From 6cab8c671bee1840d631da2a4c25c065f6617656 Mon Sep 17 00:00:00 2001 From: Matias Miranda Date: Sat, 12 Oct 2019 20:29:19 -0300 Subject: [PATCH 11/52] fix setup app --- app/setup.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/app/setup.py b/app/setup.py index 6985f3e..e1ef3c3 100644 --- a/app/setup.py +++ b/app/setup.py @@ -27,6 +27,8 @@ else: base = ".py" +print(base) + if sys.platform == "win32": executables = [ Executable('server.py', From 55228da41613a37c1cd0161c1db28b506f725913 Mon Sep 17 00:00:00 2001 From: Matias Miranda Date: Sat, 12 Oct 2019 20:29:56 -0300 Subject: [PATCH 12/52] fix setup app --- app/setup.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/app/setup.py b/app/setup.py index e1ef3c3..bf6df2c 100644 --- a/app/setup.py +++ b/app/setup.py @@ -24,8 +24,6 @@ base = None if sys.platform == "win32": base = "console" -else: - base = ".py" print(base) From 969e50f1ac6ee622c375d20a3a687e5876ac9e0e Mon Sep 17 00:00:00 2001 From: Matias Miranda Date: Sat, 12 Oct 2019 21:10:12 -0300 Subject: [PATCH 13/52] fix port --- .vscode/settings.json | 2 +- app/app.py | 2 +- app/setup.py | 2 -- 3 files changed, 2 insertions(+), 4 deletions(-) diff --git a/.vscode/settings.json b/.vscode/settings.json index d9b8026..8d6fe70 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -1,3 +1,3 @@ { - "python.pythonPath": "C:\\Users\\Matias\\Anaconda3\\python.exe" + "python.pythonPath": "C:\\Users\\MIRIAM\\Miniconda3\\python.exe" } \ No newline at end of file diff --git a/app/app.py b/app/app.py index b34d0fe..95d6dbf 100644 --- a/app/app.py +++ b/app/app.py @@ -442,4 +442,4 @@ def input_triggers_spinner_2(value, signature, population): #return children if __name__ == '__main__': - app.run_server(debug=True) \ No newline at end of file + app.run_server(debug=True, port=8050) \ No newline at end of file diff --git a/app/setup.py b/app/setup.py index bf6df2c..72d44a1 100644 --- a/app/setup.py +++ b/app/setup.py @@ -25,8 +25,6 @@ if sys.platform == "win32": base = "console" -print(base) - if sys.platform == "win32": executables = [ Executable('server.py', From 7a67b302c1a41dbb079ec8807b1d38d8f100b373 Mon Sep 17 00:00:00 2001 From: Matias Miranda Date: Sun, 13 Oct 2019 05:01:55 -0300 Subject: [PATCH 14/52] fix html css --- .vscode/settings.json | 2 +- Mixture/setup.py | 2 -- app/app.py | 63 ++++++++++++++++++++++++++----------------- 3 files changed, 40 insertions(+), 27 deletions(-) diff --git a/.vscode/settings.json b/.vscode/settings.json index 8d6fe70..f9aefaa 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -1,3 +1,3 @@ { - "python.pythonPath": "C:\\Users\\MIRIAM\\Miniconda3\\python.exe" + "python.pythonPath": "C:\\Users\\MIRIAM\\Miniconda3\\envs\\workshop\\python.exe" } \ No newline at end of file diff --git a/Mixture/setup.py b/Mixture/setup.py index 976cbe9..5b5bc5d 100644 --- a/Mixture/setup.py +++ b/Mixture/setup.py @@ -11,8 +11,6 @@ 'pandas', 'numpy', 'sklearn', - 'rpy2' - 'multiprocessing', 'joblib' ], zip_safe=False) \ No newline at end of file diff --git a/app/app.py b/app/app.py index 95d6dbf..69c3fce 100644 --- a/app/app.py +++ b/app/app.py @@ -3,6 +3,8 @@ import io import Mixture import multiprocessing +import sys +import os import numpy as np @@ -33,13 +35,33 @@ app.config['suppress_callback_exceptions'] = True app.css.config.serve_locally = True + +urlCss = './assets/css/main.css' +urlLogo = './assets/img/logo_mixture.png' +urlTil10 = 'data/TIL10_signature.xlsx' +urlLm22 = 'data/LM22Signature.xlsx' + +def find_data_file(filename): + if getattr(sys, 'frozen', False): + # The application is frozen + datadir = os.path.dirname(sys.executable) + else: + # The application is not frozen + # Change this bit to match where you store your data files: + datadir = os.path.dirname(__file__) + return os.path.join(datadir, filename) + +#urlLogo = find_data_file(urlLogo) + +#print(urlLogo.replace('\\', '/')) + app.layout = html.Div([ html.Link( rel='stylesheet', - href='/assets/css/main.css' + href=urlCss ), html.Div([ - html.Img(src='assets/img/logo_mixture.png', style = { + html.Img(src=urlLogo, style = { 'width': '300px' }), #html.H2('MIXTURE'), @@ -107,15 +129,10 @@ '-moz-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', 'box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', 'margin': '0px', - 'flex': '1', - 'height':'100%', 'background-color': '#FFFFFF', 'padding': '20px', 'border-radius': '5px', - 'display': '-webkit-flex', - '-webkit-flex-direction': 'column', - 'display': 'flex', - 'flex-direction': 'column', + 'max-width': '20vw' }), html.Div([ html.Div(id='output-processing'), @@ -126,26 +143,19 @@ 'box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', 'margin': '0px', 'margin-left': '10px', - 'flex': '3', - 'height':'100%', 'background-color': '#FFFFFF', 'padding': '20px', 'border-radius': '5px', - 'display': '-webkit-flex', - '-webkit-flex-direction': 'column', - 'display': 'flex', - 'flex-direction': 'column', + 'width': '80vw', + 'max-width': '80vw' }) ], style = { 'width':'100%', 'height':'100%', - 'display': '-webkit-flex', - '-webkit-flex-direction': 'row', - 'display': 'flex', - 'flex-wrap': 'wrap', - 'flex-direction': 'row', 'margin': '0px', 'padding': '0px', + 'display': 'flex', + 'flex-direction': 'row' }) ], style = { 'width':'100%', @@ -366,18 +376,23 @@ def update_output(list_of_contents, list_of_names, list_of_dates): dash.dependencies.State('population-input', 'value')]) def update_output(n_clicks, signature, cpu, population): - global expression, result, pValues, tableMetrics + global expression, result, pValues, tableMetrics, urlLm22, urlTil10 if n_clicks is not None: if signature == 'LM22': - X = pd.read_excel('data/LM22Signature.xlsx', sheet_name = 0) + X = pd.read_excel(find_data_file(urlLm22), sheet_name = 0) elif signature == 'TIL10': - X = pd.read_excel('data/TIL10_signature.xlsx', sheet_name = 0) + X = pd.read_excel(find_data_file(urlTil10), sheet_name = 0) Y = pd.read_excel(expression, sheet_name = 0) + + print('PRUEBA-------------------------------------') + print(__name__) - if __name__ == '__main__': + #if __name__ == '__main__': + #if __name__ == 'app': + if True: result, pValues = Mixture.Mixture(X, Y , cpu, population, '') metrics = result.Subjects[0].ACCmetrix[0].reset_index() @@ -442,4 +457,4 @@ def input_triggers_spinner_2(value, signature, population): #return children if __name__ == '__main__': - app.run_server(debug=True, port=8050) \ No newline at end of file + app.run_server(debug=True, port=8080) \ No newline at end of file From 58f53c1a5e9b52a092a24a68ed34021056d489a0 Mon Sep 17 00:00:00 2001 From: Matias Samuel Miranda Date: Sun, 13 Oct 2019 16:43:13 -0300 Subject: [PATCH 15/52] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a058e36..7ead0b4 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # MIXTUREpy -A v-SVR based noise constrained Recursive Feature Extraction algorithm for robust deconvolution of cell-types mixture from molecular signatures en python +A v-SVR based noise constrained Recursive Feature Extraction algorithm for robust deconvolution of cell-types mixture from molecular signatures in python Since the significant impact of immunotherapy in cancer, the estimation of the immune cell-type proportions present in a tumor becomes crucial. Currently, the deconvolution of the cell mixture content of a tumor is carried out by different analytic tools, yet the accuracy of inferred cell type proportions has room for improvement. We improve tumor immune environment characterization developing MIXTURE, an analytical method based on a noise constrained recursive variable selection for a support vector regression From 3529810732a78ddeff5471220a7d028788885ecd Mon Sep 17 00:00:00 2001 From: MsMatias Date: Tue, 15 Oct 2019 09:57:11 -0300 Subject: [PATCH 16/52] change mixture permutation --- Mixture/Mixture/Utils.py | 5 +-- Mixture/Mixture/__init__.py | 61 ++++++++++++++++++++++--------------- app/app.py | 2 ++ 3 files changed, 42 insertions(+), 26 deletions(-) mode change 100644 => 100755 app/app.py diff --git a/Mixture/Mixture/Utils.py b/Mixture/Mixture/Utils.py index 0d61302..2a6efc4 100644 --- a/Mixture/Mixture/Utils.py +++ b/Mixture/Mixture/Utils.py @@ -27,6 +27,7 @@ def generateXlsx (result, pValues, nameFile): with pd.ExcelWriter( nameFile + '.xlsx') as writer: result.Subjects[0].MIXabs[0].to_excel(writer, sheet_name='Absolute') result.Subjects[0].MIXprop[0].to_excel(writer, sheet_name='Proportions') - result.Subjects[0].ACCmetrix[0].to_excel(writer, sheet_name='Metrics') - pValues.to_excel(writer, sheet_name='Pvalues') + result.Subjects[0].ACCmetrix[0].to_excel(writer, sheet_name='Metrics') + if pValues is not None: + pValues.to_excel(writer, sheet_name='Pvalues') result.usedGenes[0].to_excel(writer, sheet_name='UsedGenes', index=False) \ No newline at end of file diff --git a/Mixture/Mixture/__init__.py b/Mixture/Mixture/__init__.py index 45c1978..c3c1b6b 100644 --- a/Mixture/Mixture/__init__.py +++ b/Mixture/Mixture/__init__.py @@ -35,42 +35,55 @@ def Mixture (X, Y, cores = 1, iter = 100, nameFile = 'output'): matRand = list() - print('Creating population (Count: ' + str(iter) + ')...') + if iter > 0: - matRand = Parallel(n_jobs=cores, backend='threading')(delayed(Utils.sampleRandom)(Y = Y, i = i, verbose = 1) for i in range(iter)) + print('Creating population (Count: ' + str(iter) + ')...') - #for i in range(iter): - # matRand.append(Utils.sampleRandom(Y, i, 1)) + matRand = Parallel(n_jobs=cores, backend='threading')(delayed(Utils.sampleRandom)(Y = Y, i = i, verbose = 1) for i in range(iter)) - print('Finish creating population') + #for i in range(iter): + # matRand.append(Utils.sampleRandom(Y, i, 1)) - matRand = map(list, zip(*matRand)) - matRand = pd.DataFrame(matRand, Y['Gene symbol']) - matRand.reset_index(drop=True, inplace=True) - matRand = pd.concat([Y['Gene symbol'], matRand], sort = False, axis = 1) + print('Finish creating population') - print('Finish') + matRand = map(list, zip(*matRand)) + matRand = pd.DataFrame(matRand, Y['Gene symbol']) + matRand.reset_index(drop=True, inplace=True) + matRand = pd.concat([Y['Gene symbol'], matRand], sort = False, axis = 1) - print('Running mixer with porpulationBased (Count: ' + str(matRand.shape[1]) + ')') - # Run Mixer Function with Random Matrix - outMix = Mixer(X, matRand, cores) + print('Finish') - #geneList = pd.DataFrame(geneList) + print('Running mixer with porpulationBased (Count: ' + str(matRand.shape[1]) + ')') + # Run Mixer Function with Random Matrix + outMix = Mixer(X, matRand, cores) - result = pd.DataFrame([orig, outMix.ACCmetrix[0], geneList], ['Subjects', 'PermutedMetrix', 'usedGenes']).T + #geneList = pd.DataFrame(geneList) - result.usedGenes[0] = pd.DataFrame(result.usedGenes[0]) + result = pd.DataFrame([orig, outMix.ACCmetrix[0], geneList], ['Subjects', 'PermutedMetrix', 'usedGenes']).T - pValues = list() - - pValues = result.Subjects[0].ACCmetrix[0].apply(Utils.getPValues, args=(result.PermutedMetrix[0], ), axis = 1) - pValues = pd.DataFrame(pValues.values.tolist(), index = pValues.index, columns=['RMSEa', 'RMSEa', 'Ra', 'Rp']) - - print('Finish') + result.usedGenes[0] = pd.DataFrame(result.usedGenes[0]) + + pValues = list() + + pValues = result.Subjects[0].ACCmetrix[0].apply(Utils.getPValues, args=(result.PermutedMetrix[0], ), axis = 1) + pValues = pd.DataFrame(pValues.values.tolist(), index = pValues.index, columns=['RMSEa', 'RMSEa', 'Ra', 'Rp']) + + print('Finish') + + Utils.generateXlsx (result, pValues, nameFile) + + return result, pValues + else: + + result = pd.DataFrame([orig, geneList], ['Subjects', 'usedGenes']).T + + result.usedGenes[0] = pd.DataFrame(result.usedGenes[0]) + + print('Finish') - Utils.generateXlsx (result, pValues, nameFile) + Utils.generateXlsx (result, None, nameFile) - return result, pValues + return result, None diff --git a/app/app.py b/app/app.py old mode 100644 new mode 100755 index 69c3fce..81bbb17 --- a/app/app.py +++ b/app/app.py @@ -1,3 +1,5 @@ +#! /usr/bin/env python3 + import base64 import datetime import io From e5c3bb2df60d0fbcf8305b0baea3f78395953a95 Mon Sep 17 00:00:00 2001 From: MsMatias Date: Tue, 15 Oct 2019 10:10:32 -0300 Subject: [PATCH 17/52] fix pvalues object --- app/app.py | 13 +++++++------ app/setup.py | 2 +- 2 files changed, 8 insertions(+), 7 deletions(-) diff --git a/app/app.py b/app/app.py index 81bbb17..88f9a5c 100755 --- a/app/app.py +++ b/app/app.py @@ -109,8 +109,8 @@ def find_data_file(filename): id='population-input', placeholder='Enter a value...', type='number', - min='1', - value='' + min='0', + value='0' ), html.P('CPUs:', style={ 'margin-top': '10px' @@ -390,12 +390,12 @@ def update_output(n_clicks, signature, cpu, population): Y = pd.read_excel(expression, sheet_name = 0) print('PRUEBA-------------------------------------') - print(__name__) + print(int(population)) #if __name__ == '__main__': #if __name__ == 'app': if True: - result, pValues = Mixture.Mixture(X, Y , cpu, population, '') + result, pValues = Mixture.Mixture(X, Y , cpu, int(population), '') metrics = result.Subjects[0].ACCmetrix[0].reset_index() @@ -419,8 +419,9 @@ def download_excel (): excel_writer = pd.ExcelWriter(strIO, engine="xlsxwriter") result.Subjects[0].MIXabs[0].to_excel(excel_writer, sheet_name='Absolute') result.Subjects[0].MIXprop[0].to_excel(excel_writer, sheet_name='Proportions') - result.Subjects[0].ACCmetrix[0].to_excel(excel_writer, sheet_name='Metrics') - pValues.to_excel(excel_writer, sheet_name='Pvalues') + result.Subjects[0].ACCmetrix[0].to_excel(excel_writer, sheet_name='Metrics') + if pValues is not None: + pValues.to_excel(excel_writer, sheet_name='Pvalues') result.usedGenes[0].to_excel(excel_writer, sheet_name='UsedGenes', index=False) excel_writer.save() excel_data = strIO.getvalue() diff --git a/app/setup.py b/app/setup.py index 72d44a1..663ff70 100644 --- a/app/setup.py +++ b/app/setup.py @@ -40,7 +40,7 @@ setup( name='MixturePy', packages=find_packages(), - version='0.5.0', + version='0.6.0', description='rig', executables=executables, options=options From 960dc293e8f9e01040bfed234134a06940ec40b0 Mon Sep 17 00:00:00 2001 From: Matias Miranda Date: Tue, 15 Oct 2019 10:15:43 -0300 Subject: [PATCH 18/52] setup mixture --- Mixture/setup.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/Mixture/setup.py b/Mixture/setup.py index 5b5bc5d..899909b 100644 --- a/Mixture/setup.py +++ b/Mixture/setup.py @@ -1,7 +1,7 @@ from setuptools import setup setup(name='Mixture', - version='0.5', + version='0.7', description='Mixture for Py', url='https://github.com/MsMatias/MixturePy', author='Mixture', @@ -10,7 +10,9 @@ install_requires=[ 'pandas', 'numpy', - 'sklearn', - 'joblib' + 'scikit-learn', + 'joblib', + 'xlrd', + 'openpyxl' ], zip_safe=False) \ No newline at end of file From 0e1f5051b603dcdb9dcf1166cddf2ffe8de7556c Mon Sep 17 00:00:00 2001 From: MsMatias Date: Tue, 15 Oct 2019 10:43:22 -0300 Subject: [PATCH 19/52] tick label x rotate --- app/app.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/app/app.py b/app/app.py index 88f9a5c..b04d4dc 100755 --- a/app/app.py +++ b/app/app.py @@ -188,7 +188,8 @@ def render_content1(tab): layout=go.Layout( barmode='relative', title_text='Bar Plot', - height=700 + height=700, + xaxis=dict(tickangle=-90, automargin= True) ) ) ) @@ -209,7 +210,8 @@ def render_content1(tab): ] ), layout=go.Layout( - height=700 + height=700, + xaxis=dict(tickangle=-90, automargin= True) ) ) ) @@ -266,7 +268,8 @@ def render_content1(tab): ), ) ], - height=700 + height=700, + xaxis=dict(tickangle=-90, automargin= True) ) ) ) @@ -388,9 +391,6 @@ def update_output(n_clicks, signature, cpu, population): X = pd.read_excel(find_data_file(urlTil10), sheet_name = 0) Y = pd.read_excel(expression, sheet_name = 0) - - print('PRUEBA-------------------------------------') - print(int(population)) #if __name__ == '__main__': #if __name__ == 'app': From fa215c82ce2905c74cfb605a691ec1c5afc99a4d Mon Sep 17 00:00:00 2001 From: MsMatias Date: Tue, 15 Oct 2019 17:49:46 -0300 Subject: [PATCH 20/52] test cellines --- cellines.ipynb | 497 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 497 insertions(+) create mode 100644 cellines.ipynb diff --git a/cellines.ipynb b/cellines.ipynb new file mode 100644 index 0000000..f1fa64f --- /dev/null +++ b/cellines.ipynb @@ -0,0 +1,497 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import rpy2\n", + "import rpy2.robjects as robjects\n", + "from rpy2.robjects import pandas2ri\n", + "readRDS = robjects.r['readRDS']\n", + "from rpy2.robjects.conversion import localconverter\n", + "import pandas as pd\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from rpy2.robjects.packages import importr" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "from scipy.linalg import expm, sinm, cosm" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "ipython = get_ipython()\n", + "\n", + "def hide_traceback(exc_tuple=None, filename=None, tb_offset=None,\n", + " exception_only=False, running_compiled_code=False):\n", + " etype, value, tb = sys.exc_info()\n", + " return ipython._showtraceback(etype, value, ipython.InteractiveTB.get_exception_only(etype, value))\n", + "\n", + "ipython.showtraceback = hide_traceback" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "import Mixture" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "R[write to console]: Installing package into ‘/home/matias/R/x86_64-pc-linux-gnu-library/3.6’\n", + "(as ‘lib’ is unspecified)\n", + "\n", + "R[write to console]: probando la URL 'https://cloud.r-project.org/src/contrib/BiocManager_1.30.7.tar.gz'\n", + "\n", + "R[write to console]: Content type 'application/x-gzip'\n", + "R[write to console]: length 38020 bytes (37 KB)\n", + "\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + 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pandas2ri.converter):\n", + " df = robjects.conversion.rpy2py(df)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " StrVector with 16532 elements.\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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{ - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "ipython = get_ipython()\n", - "\n", - "def hide_traceback(exc_tuple=None, filename=None, tb_offset=None,\n", - " exception_only=False, running_compiled_code=False):\n", - " etype, value, tb = sys.exc_info()\n", - " return ipython._showtraceback(etype, value, ipython.InteractiveTB.get_exception_only(etype, value))\n", - "\n", - "ipython.showtraceback = hide_traceback" - ] - }, { "cell_type": "code", "execution_count": 4, @@ -61,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "metadata": { "collapsed": true }, @@ -70,10 +53,10 @@ "name": "stderr", "output_type": "stream", "text": [ - "R[write to console]: Installing package into ‘/home/matias/R/x86_64-pc-linux-gnu-library/3.6’\n", + "R[write to console]: Installing package into ‘/home/matias/R/x86_64-pc-linux-gnu-library/3.5’\n", "(as ‘lib’ is unspecified)\n", "\n", - "R[write to console]: probando la URL 'https://cloud.r-project.org/src/contrib/BiocManager_1.30.7.tar.gz'\n", + "R[write to console]: trying URL 'https://cloud.r-project.org/src/contrib/BiocManager_1.30.7.tar.gz'\n", "\n", "R[write to console]: Content type 'application/x-gzip'\n", "R[write to console]: length 38020 bytes (37 KB)\n", @@ -137,7 +120,7 @@ "\n", "R[write to console]: \n", "R[write to console]: The downloaded source packages are in\n", - "\t‘/tmp/RtmpK1fVen/downloaded_packages’\n", + "\t‘/tmp/RtmpP5hBnz/downloaded_packages’\n", "R[write to console]: \n", "R[write to console]: \n", "\n" @@ -146,10 +129,10 @@ { "data": { "text/plain": [ - " [RTYPES.NILSXP]" + " [RTYPES.NILSXP]" ] }, - "execution_count": 7, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -162,7 +145,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "metadata": { "collapsed": true }, @@ -171,14 +154,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "R[write to console]: Bioconductor version 3.9 (BiocManager 1.30.7), R 3.6.1 (2019-07-05)\n", + "R[write to console]: Bioconductor version 3.8 (BiocManager 1.30.7), R 3.5.3 (2019-03-11)\n", "\n", "R[write to console]: Installing package(s) 'limma'\n", "\n", - "R[write to console]: probando la URL 'https://bioconductor.org/packages/3.9/bioc/src/contrib/limma_3.40.6.tar.gz'\n", + "R[write to console]: trying URL 'https://bioconductor.org/packages/3.8/bioc/src/contrib/limma_3.38.3.tar.gz'\n", "\n", "R[write to console]: Content type 'application/x-gzip'\n", - 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Gene symbol9068266879839109271240138124013990679291068812401351290812...7535849070449981849081451659787129815714803721298533930299905954.1
0TSPAN6198.366304187.230436419.444908222.419924212.198047134.7866219.748621124.63852961.522661...137.7240749.4250708.218597331.582284122.121882347.682936343.203766272.3380508.647798142.333051
1TNMD7.8060096.8576596.2484917.0514657.7690567.4110457.1018917.3347666.439167...6.9588416.7045337.8702307.2227676.1587176.2301907.3609395.7404697.3130227.131893
2DPM11332.1609073583.966033942.750905944.5417551368.936470875.5141991229.9509671181.1130021260.479567...1434.6524401392.0076831271.1882001403.5160911368.5906762824.4255901507.3277541773.950376938.2977201768.387206
3SCYL312.25071516.75926215.52186416.72230020.27317619.30500162.60333313.13216514.401152...12.96755524.65849420.37211214.50141115.42887021.49381211.71584921.75592919.25054817.154241
4C1orf11210.41565313.2919859.42583311.78119514.32410314.0749278.0660779.63609610.216540...13.24002115.43083713.9925179.17042014.07273320.88987618.9902728.4056489.38395910.821246
..................................................................
16527LINC00526110.42514539.8887768.8336268.90055712.57651147.64733637.08550218.27158817.313812...19.99887634.11457011.42672435.36113424.33169534.24644718.94109733.93833831.69368920.565258
16528KRT18P5510.0640167.9591337.39512114.04630910.6485597.9980027.42179610.9826437.812968...9.56273110.0104329.5243588.2318819.02621910.15222010.64835312.4700038.8313917.608029
16529POLRMTP18.7585759.5863559.0394748.4235719.27627410.4259899.1902637.1060778.930525...6.8387287.93511011.4266989.5420988.8104048.0417098.5081247.1975477.1247557.047236
16530UBL5P21014.544078512.999579553.808337994.814559981.590689420.167311673.943381879.015640712.913048...772.704052727.126167986.195846948.9865811037.551842644.5698771713.405686373.430458955.789824538.179233
16531TBC1D3P58.4194368.0010097.5489429.55661410.52775411.2936409.1483079.5436338.833999...10.6093169.5592659.1259358.91097810.25076810.8183689.9724269.0286779.47130210.017959
\n", + "

16532 rows Ă— 1019 columns

\n", + "
" + ], + "text/plain": [ + " Gene symbol 906826 687983 910927 1240138 \\\n", + "0 TSPAN6 198.366304 187.230436 419.444908 222.419924 \n", + "1 TNMD 7.806009 6.857659 6.248491 7.051465 \n", + "2 DPM1 1332.160907 3583.966033 942.750905 944.541755 \n", + "3 SCYL3 12.250715 16.759262 15.521864 16.722300 \n", + "4 C1orf112 10.415653 13.291985 9.425833 11.781195 \n", + "... ... ... ... ... ... \n", + "16527 LINC00526 110.425145 39.888776 8.833626 8.900557 \n", + "16528 KRT18P55 10.064016 7.959133 7.395121 14.046309 \n", + "16529 POLRMTP1 8.758575 9.586355 9.039474 8.423571 \n", + "16530 UBL5P2 1014.544078 512.999579 553.808337 994.814559 \n", + "16531 TBC1D3P5 8.419436 8.001009 7.548942 9.556614 \n", + "\n", + " 1240139 906792 910688 1240135 1290812 ... \\\n", + "0 212.198047 134.786621 9.748621 124.638529 61.522661 ... \n", + "1 7.769056 7.411045 7.101891 7.334766 6.439167 ... \n", + "2 1368.936470 875.514199 1229.950967 1181.113002 1260.479567 ... \n", + "3 20.273176 19.305001 62.603333 13.132165 14.401152 ... \n", + "4 14.324103 14.074927 8.066077 9.636096 10.216540 ... \n", + "... ... ... ... ... ... ... \n", + "16527 12.576511 47.647336 37.085502 18.271588 17.313812 ... \n", + "16528 10.648559 7.998002 7.421796 10.982643 7.812968 ... \n", + "16529 9.276274 10.425989 9.190263 7.106077 8.930525 ... \n", + "16530 981.590689 420.167311 673.943381 879.015640 712.913048 ... \n", + "16531 10.527754 11.293640 9.148307 9.543633 8.833999 ... \n", + "\n", + " 753584 907044 998184 908145 1659787 \\\n", + "0 137.724074 9.425070 8.218597 331.582284 122.121882 \n", + "1 6.958841 6.704533 7.870230 7.222767 6.158717 \n", + "2 1434.652440 1392.007683 1271.188200 1403.516091 1368.590676 \n", + "3 12.967555 24.658494 20.372112 14.501411 15.428870 \n", + "4 13.240021 15.430837 13.992517 9.170420 14.072733 \n", + "... ... ... ... ... ... \n", + "16527 19.998876 34.114570 11.426724 35.361134 24.331695 \n", + "16528 9.562731 10.010432 9.524358 8.231881 9.026219 \n", + "16529 6.838728 7.935110 11.426698 9.542098 8.810404 \n", + "16530 772.704052 727.126167 986.195846 948.986581 1037.551842 \n", + "16531 10.609316 9.559265 9.125935 8.910978 10.250768 \n", + "\n", + " 1298157 1480372 1298533 930299 905954.1 \n", + "0 347.682936 343.203766 272.338050 8.647798 142.333051 \n", + "1 6.230190 7.360939 5.740469 7.313022 7.131893 \n", + "2 2824.425590 1507.327754 1773.950376 938.297720 1768.387206 \n", + "3 21.493812 11.715849 21.755929 19.250548 17.154241 \n", + "4 20.889876 18.990272 8.405648 9.383959 10.821246 \n", + "... ... ... ... ... ... \n", + "16527 34.246447 18.941097 33.938338 31.693689 20.565258 \n", + "16528 10.152220 10.648353 12.470003 8.831391 7.608029 \n", + "16529 8.041709 8.508124 7.197547 7.124755 7.047236 \n", + "16530 644.569877 1713.405686 373.430458 955.789824 538.179233 \n", + "16531 10.818368 9.972426 9.028677 9.471302 10.017959 \n", + "\n", + "[16532 rows x 1019 columns]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "dfcellines_exp" + "Y" ] }, { @@ -470,7 +712,17624 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "with pd.ExcelWriter('Celllines.xlsx') as writer:\n", + " Y.to_excel(writer, sheet_name='E')" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "scrolled": true, + "slideshow": { + "slide_type": "-" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running mixer with subjects (Count: 1019)...\n", + "Normalizing data\n", + "Processing...\n", + "--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "Subject: 910927 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "\n", + "Subject: 1240138 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Subject: 906826 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Subject: 687983 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 687983\n", + "Iter: 1 Subject: 910927\n", + "Iter: 2 Subject: 687983\n", + "Iter: 1 Subject: 906826\n", + "Iter: 1 Subject: 1240138\n", + "Iter: 2 Subject: 910927\n", + "Iter: 3 Subject: 687983\n", + "Iter: 3 Subject: 910927\n", + "Iter: 2 Subject: 906826\n", + "Iter: 4 Subject: 687983\n", + "Iter: 2 Subject: 1240138\n", + "Iter: 4 Subject: 910927\n", + "--------------------------------------------------\n", + "Subject: 1240139 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 5 Subject: 687983\n", + "Iter: 3 Subject: 906826\n", + "--------------------------------------------------\n", + "Subject: 906792 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 1240138\n", + "Iter: 4 Subject: 906826\n", + "Iter: 4 Subject: 1240138\n", + "Iter: 5 Subject: 906826\n", + "--------------------------------------------------\n", + "Subject: 910688 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1240139\n", + "--------------------------------------------------\n", + "Subject: 1240135 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1240139\n", + "Iter: 3 Subject: 1240139\n", + "Iter: 1 Subject: 910688\n", + "Iter: 4 Subject: 1240139\n", + "Iter: 1 Subject: 1240135\n", + "Iter: 2 Subject: 910688\n", + "--------------------------------------------------\n", + "Subject: 1290812 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 906792\n", + "Iter: 2 Subject: 1240135\n", + "Iter: 3 Subject: 910688\n", + "Iter: 3 Subject: 1240135\n", + "Iter: 4 Subject: 910688\n", + "Iter: 4 Subject: 1240135\n", + "--------------------------------------------------\n", + "Subject: 907045 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 906792\n", + "--------------------------------------------------\n", + "Subject: 906861 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1290812\n", + "Iter: 3 Subject: 906792\n", + "--------------------------------------------------\n", + "Subject: 906830 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 907045\n", + "Iter: 2 Subject: 1290812\n", + "Iter: 1 Subject: 906861\n", + "Iter: 2 Subject: 907045\n", + "Iter: 3 Subject: 1290812\n", + "Iter: 2 Subject: 906861\n", + "Iter: 3 Subject: 907045\n", + "--------------------------------------------------\n", + "Subject: 909750 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 906861\n", + "Iter: 4 Subject: 1290812\n", + "Iter: 1 Subject: 906830\n", + "--------------------------------------------------\n", + "Subject: 1240137 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 906861\n", + "Iter: 5 Subject: 906861\n", + "--------------------------------------------------\n", + "Subject: 753552 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 906830\n", + "Iter: 3 Subject: 906830\n", + "Iter: 1 Subject: 1240137\n", + "Iter: 1 Subject: 909750\n", + "Iter: 1 Subject: 753552\n", + "Iter: 4 Subject: 906830\n", + "--------------------------------------------------\n", + "Subject: 907065 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1240137\n", + "Iter: 2 Subject: 753552\n", + "Iter: 2 Subject: 909750\n", + "Iter: 3 Subject: 753552\n", + "Iter: 3 Subject: 1240137\n", + "Iter: 3 Subject: 909750\n", + "Iter: 4 Subject: 753552\n", + "Iter: 4 Subject: 1240137\n", + "Iter: 5 Subject: 753552\n", + "Iter: 4 Subject: 909750\n", + "Iter: 1 Subject: 907065\n", + "Iter: 5 Subject: 1240137\n", + "--------------------------------------------------\n", + "Subject: 925338 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 1290809 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 949158 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 907065\n", + "Iter: 3 Subject: 907065\n", + "Iter: 4 Subject: 907065\n", + "Iter: 1 Subject: 925338\n", + "--------------------------------------------------\n", + "Subject: 924110 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1290809\n", + "Iter: 2 Subject: 925338\n", + "Iter: 2 Subject: 1290809\n", + "Iter: 3 Subject: 925338\n", + "Iter: 3 Subject: 1290809\n", + "--------------------------------------------------\n", + "Subject: 1240134 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 924110\n", + "Iter: 1 Subject: 949158\n", + "Iter: 4 Subject: 1290809\n", + "--------------------------------------------------\n", + "Subject: 907172 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 924110\n", + "Iter: 3 Subject: 924110\n", + "--------------------------------------------------\n", + "Subject: 687452 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 907172\n", + "Iter: 1 Subject: 1240134\n", + "Iter: 2 Subject: 949158\n", + "Iter: 2 Subject: 907172\n", + "Iter: 3 Subject: 907172\n", + "Iter: 2 Subject: 1240134\n", + "--------------------------------------------------\n", + "Subject: 905947 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 949158\n", + "Iter: 3 Subject: 1240134\n", + "Iter: 4 Subject: 1240134\n", + "Iter: 4 Subject: 949158\n", + "--------------------------------------------------\n", + "Subject: 1298134 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 3 Subject: 1240155\n", + "Iter: 4 Subject: 1240155\n", + "--------------------------------------------------\n", + "Subject: 909721 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1240215\n", + "Iter: 1 Subject: 1299070\n", + "Iter: 1 Subject: 910911\n", + "Iter: 2 Subject: 1240215\n", + "Iter: 2 Subject: 1299070\n", + "Iter: 3 Subject: 1240215\n", + "Iter: 3 Subject: 1299070\n", + "Iter: 2 Subject: 910911\n", + "Iter: 1 Subject: 909721\n", + "Iter: 4 Subject: 1240215\n", + "Iter: 4 Subject: 1299070\n", + "Iter: 3 Subject: 910911\n", + "--------------------------------------------------\n", + "Subject: 907274 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 753554\n", + "Iter: 2 Subject: 906862Iter: 2 Subject: 1327761\n", + "\n", + "Iter: 3 Subject: 753554\n", + "Iter: 3 Subject: 906862\n", + "Iter: 3 Subject: 1327761\n", + "Iter: 4 Subject: 753554\n", + "Iter: 4 Subject: 906862\n", + "Iter: 4 Subject: 1327761\n", + "--------------------------------------------------\n", + "Subject: 924108 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 753546 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 5 Subject: 1327761\n", + "--------------------------------------------------\n", + "Subject: 946370 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 905938\n", + "Iter: 1 Subject: 907053\n", + "Iter: 5 Subject: 749714\n", + "Iter: 5 Subject: 905938\n", + "--------------------------------------------------\n", + "Subject: 1303900 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 684059 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1290906\n", + "Iter: 2 Subject: 907053\n", + "Iter: 3 Subject: 907053\n", + "Iter: 2 Subject: 1290906\n", + "Iter: 1 Subject: 1303900\n", + "Iter: 3 Subject: 1290906\n", + "Iter: 4 Subject: 907053\n", + "--------------------------------------------------\n", + "Subject: 1295741 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1298136\n", + "Iter: 3 Subject: 949166\n", + "Iter: 1 Subject: 907061\n", + "--------------------------------------------------\n", + "Subject: 905971 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 1298136\n", + "Iter: 4 Subject: 1298136\n", + "Iter: 1 Subject: 1240149\n", + "Iter: 5 Subject: 1298136\n", + "--------------------------------------------------\n", + "Subject: 911905 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 905971\n", + "Iter: 2 Subject: 907061\n", + "Iter: 2 Subject: 1240149\n", + "Iter: 3 Subject: 1240149\n", + "Iter: 2 Subject: 905971\n", + "--------------------------------------------------\n", + "Subject: 1287706 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 1287706\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--------------------------------------------------\n", + "Subject: 906849 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 753531\n", + "Iter: 3 Subject: 911905\n", + "Iter: 1 Subject: 906849\n", + "Iter: 4 Subject: 911905\n", + "Iter: 5 Subject: 911905\n", + "Iter: 2 Subject: 906849\n", + "--------------------------------------------------\n", + "Subject: 905970 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 906849\n", + "--------------------------------------------------\n", + "Subject: 907285 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 753531\n", + "Iter: 1 Subject: 946369\n", + "Iter: 2 Subject: 946369\n", + "Iter: 3 Subject: 753531\n", + "Iter: 3 Subject: 946369\n", + "--------------------------------------------------\n", + "Subject: 907051 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 907285\n", + "Iter: 4 Subject: 753531\n", + "Iter: 1 Subject: 905970\n", + "--------------------------------------------------\n", + "Subject: 907055 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 907051\n", + "Iter: 2 Subject: 907285\n", + "Iter: 2 Subject: 907051\n", + "Iter: 2 Subject: 905970\n", + "Iter: 3 Subject: 907285\n", + "Iter: 3 Subject: 907051\n", + "Iter: 1 Subject: 907055\n", + "Iter: 3 Subject: 905970\n", + "--------------------------------------------------\n", + "Subject: 907043 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 907285Iter: 4 Subject: 907051\n", + "\n", + "--------------------------------------------------\n", + "Subject: 1290907 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 949164 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 907055\n", + "Iter: 3 Subject: 907055\n", + "Iter: 1 Subject: 907043\n", + "Iter: 4 Subject: 907055\n", + "Iter: 1 Subject: 1290907\n", + "Iter: 5 Subject: 907055\n", + "Iter: 2 Subject: 907043\n", + "--------------------------------------------------\n", + "Subject: 910851 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1290907\n", + "Iter: 1 Subject: 949164\n", + "Iter: 3 Subject: 907043\n", + "Iter: 3 Subject: 1290907\n", + "Iter: 2 Subject: 949164\n", + "--------------------------------------------------\n", + "Subject: 753532 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 1290907\n", + "Iter: 3 Subject: 949164\n", + "--------------------------------------------------\n", + "Subject: 1240123 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 946367 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 910851\n", + "Iter: 2 Subject: 910851\n", + "Iter: 1 Subject: 1240123\n", + "Iter: 3 Subject: 910851\n", + "Iter: 1 Subject: 753532\n", + "Iter: 2 Subject: 1240123\n", + "Iter: 4 Subject: 910851\n", + "Iter: 3 Subject: 1240123\n", + "Iter: 5 Subject: 910851\n", + "Iter: 2 Subject: 753532\n", + "Iter: 1 Subject: 946367\n", + "--------------------------------------------------\n", + "Subject: 684057 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 1240123\n", + "Iter: 3 Subject: 753532\n", + "--------------------------------------------------\n", + "Subject: 906856 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 753532\n", + "Iter: 2 Subject: 946367\n", + "Iter: 5 Subject: 753532\n", + "--------------------------------------------------\n", + "Subject: 924111 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 946367\n", + "Iter: 1 Subject: 684057\n", + "Iter: 1 Subject: 906856\n", + "Iter: 4 Subject: 946367\n", + "Iter: 2 Subject: 684057\n", + "Iter: 2 Subject: 906856\n", + "Iter: 5 Subject: 946367\n", + "--------------------------------------------------\n", + "Subject: 1240145 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 684057\n", + "Iter: 1 Subject: 924111\n", + "Iter: 3 Subject: 906856\n", + "--------------------------------------------------\n", + "Subject: 924151 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 1290908 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 4 Subject: 1240186\n", + "--------------------------------------------------\n", + "Subject: 1240187 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 909711\n", + "Iter: 1 Subject: 925342\n", + "Iter: 1 Subject: 687807\n", + "Iter: 2 Subject: 909711\n", + "Iter: 2 Subject: 687807\n", + "Iter: 3 Subject: 687807\n", + "Iter: 3 Subject: 909711\n", + "Iter: 4 Subject: 687807\n", + "Iter: 4 Subject: 909711\n", + "Iter: 2 Subject: 925342\n", + "--------------------------------------------------\n", + "Subject: 1240189 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Iter: 4 Subject: 908482\n", + "Iter: 1 Subject: 908459\n", + "Iter: 5 Subject: 687819\n", + "--------------------------------------------------\n", + "Subject: 949172 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 908447 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 688031\n", + "Iter: 2 Subject: 908459\n", + "Iter: 3 Subject: 908459\n", + "Iter: 2 Subject: 688031\n", + "Iter: 4 Subject: 908459\n", + "Iter: 3 Subject: 688031\n", + "Iter: 1 Subject: 949172\n", + "--------------------------------------------------\n", + "Subject: 949176 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 905986\n", + "Iter: 2 Subject: 905986\n", + "Iter: 2 Subject: 949176\n", + "Iter: 3 Subject: 905986\n", + "Iter: 1 Subject: 905944\n", + "Iter: 4 Subject: 905986\n", + "Iter: 1 Subject: 905942\n", + "--------------------------------------------------\n", + "Subject: 753607 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 905944\n", + "Iter: 3 Subject: 949176\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--------------------------------------------------\n", + "Subject: 1240191 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 905944\n", + "Iter: 2 Subject: 905942\n", + "Iter: 4 Subject: 905944\n", + "Iter: 1 Subject: 753607\n", + "--------------------------------------------------\n", + "Subject: 908440 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 753607\n", + "Iter: 3 Subject: 905942\n", + "Iter: 3 Subject: 753607\n", + "Iter: 4 Subject: 753607\n", + "--------------------------------------------------\n", + "Subject: 908452 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 905942\n", + "Iter: 1 Subject: 908440\n", + "Iter: 1 Subject: 1240191\n", + "Iter: 5 Subject: 905942\n", + "Iter: 1 Subject: 908452\n", + "--------------------------------------------------\n", + "Subject: 908454 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 908440\n", + "Iter: 2 Subject: 908452\n", + "Iter: 2 Subject: 1240191\n", + "Iter: 3 Subject: 908440\n", + "Iter: 1 Subject: 908454\n", + "Iter: 4 Subject: 908440\n", + "Iter: 3 Subject: 908452\n", + "Iter: 3 Subject: 1240191\n", + "--------------------------------------------------\n", + "Subject: 910904 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 908452\n", + "Iter: 2 Subject: 908454\n", + "--------------------------------------------------\n", + "Subject: 924244 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 1240191\n", + "Iter: 3 Subject: 908454\n", + "--------------------------------------------------\n", + "Subject: 909759 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 5 Subject: 1479994\n", + "Iter: 2 Subject: 905955\n", + "--------------------------------------------------\n", + "Subject: 713869 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 905955\n", + "Iter: 2 Subject: 906823\n", + "Iter: 1 Subject: 905957\n", + "Iter: 1 Subject: 713869\n", + "Iter: 3 Subject: 906823\n", + "Iter: 4 Subject: 905955\n", + "Iter: 2 Subject: 905957\n", + "Iter: 2 Subject: 713869\n", + "--------------------------------------------------\n", + "Subject: 1480364 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 906823\n", + "Iter: 3 Subject: 713869\n", + "--------------------------------------------------\n", + "Subject: 910706 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 905957\n", + "Iter: 4 Subject: 713869\n", + "Iter: 4 Subject: 905957\n", + "Iter: 5 Subject: 713869\n", + "Iter: 5 Subject: 905957\n", + "Iter: 1 Subject: 1480364\n", + "----------------------------------------------------------------------------------------------------\n", + "Subject: 1322212 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Subject: 1480374 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 910706\n", + "Iter: 2 Subject: 1480364\n", + "Iter: 2 Subject: 910706\n", + "Iter: 3 Subject: 910706\n", + "Iter: 3 Subject: 1480364\n", + "--------------------------------------------------\n", + "Subject: 1330964 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1322212\n", + "Iter: 4 Subject: 1480364\n", + "Iter: 1 Subject: 1480374\n", + "--------------------------------------------------\n", + "Subject: 1297449 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1322212\n", + "Iter: 2 Subject: 1480374\n", + "Iter: 3 Subject: 1322212\n", + "--------------------------------------------------\n", + "Subject: 1330975 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 1480374\n", + "Iter: 1 Subject: 1330964\n", + "Iter: 1 Subject: 1297449\n", + "Iter: 4 Subject: 1480374\n", + "Iter: 1 Subject: 1330975\n", + "Iter: 2 Subject: 1330964\n", + "--------------------------------------------------\n", + "Subject: 907273 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1297449\n", + "Iter: 2 Subject: 1330975\n", + "Iter: 3 Subject: 1330964\n", + "Iter: 3 Subject: 1297449\n", + "Iter: 4 Subject: 1297449\n", + "Iter: 4 Subject: 1330964\n", + "Iter: 3 Subject: 1330975\n", + "--------------------------------------------------\n", + "Subject: 1298353 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 687787 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 1330975\n", + "Iter: 1 Subject: 907273\n", + "--------------------------------------------------\n", + "Subject: 1479991 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 907273\n", + "Iter: 3 Subject: 907273\n", + "Iter: 1 Subject: 687787\n", + "Iter: 1 Subject: 1298353\n", + "Iter: 4 Subject: 907273\n", + "Iter: 1 Subject: 1479991\n", + "--------------------------------------------------\n", + "Subject: 1298355 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1298353\n", + "Iter: 2 Subject: 1479991\n", + "Iter: 2 Subject: 687787\n", + "Iter: 3 Subject: 1298353\n", + "Iter: 3 Subject: 1479991\n", + "Iter: 3 Subject: 687787\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 1 Subject: 1298355\n", + "Iter: 4 Subject: 1298353\n", + "Iter: 4 Subject: 687787\n", + "--------------------------------------------------\n", + "Subject: 1503364 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 1479991\n", + "Iter: 5 Subject: 1298353\n", + "Iter: 2 Subject: 1298355\n", + "Iter: 5 Subject: 1479991\n", + "--------------------------------------------------\n", + "Subject: 724839 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 1298355\n", + "--------------------------------------------------\n", + "Subject: 1298357 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 1298355\n", + "--------------------------------------------------\n", + "Subject: 1240144 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1503364\n", + "Iter: 2 Subject: 1503364\n", + "Iter: 1 Subject: 1298357\n", + "Iter: 1 Subject: 724839\n", + "Iter: 3 Subject: 1503364\n", + "Iter: 4 Subject: 1503364\n", + "Iter: 2 Subject: 1298357\n", + "Iter: 2 Subject: 724839\n", + "--------------------------------------------------\n", + "Subject: 1331026 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 1298357\n", + "Iter: 3 Subject: 724839\n", + "--------------------------------------------------\n", + "Subject: 1331025 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 1298357\n", + "Iter: 5 Subject: 1298357Iter: 1 Subject: 1240144\n", + "\n", + "--------------------------------------------------\n", + "Subject: 1290767 Nro. 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Processor: <_MainProcess(MainProcess, started)>Iter: 1 Subject: 1240221\n", + "\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1298218\n", + "Iter: 1 Subject: 907000\n", + "Iter: 2 Subject: 1240221\n", + "Iter: 2 Subject: 1298218\n", + "Iter: 3 Subject: 1298218\n", + "Iter: 3 Subject: 1240221\n", + "Iter: 1 Subject: 749712\n", + "Iter: 4 Subject: 1298218\n", + "Iter: 2 Subject: 907000\n", + "Iter: 4 Subject: 1240221\n", + "--------------------------------------------------\n", + "Subject: 1723794 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 749712\n", + "Iter: 5 Subject: 1240221\n", + "Iter: 3 Subject: 749712\n", + "Iter: 3 Subject: 907000\n", + "--------------------------------------------------\n", + "Subject: 1298156 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 2 Subject: 1479987\n", + "Iter: 2 Subject: 753545\n", + "Iter: 3 Subject: 1479987\n", + "Iter: 1 Subject: 688021\n", + "Iter: 4 Subject: 1479987\n", + "Iter: 1 Subject: 909781\n", + "Iter: 3 Subject: 753545\n", + "Iter: 5 Subject: 1479987Iter: 2 Subject: 688021\n", + "\n", + "Iter: 4 Subject: 753545\n", + "--------------------------------------------------\n", + "Subject: 753577 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 909781\n", + "Iter: 3 Subject: 688021\n", + "Iter: 5 Subject: 753545\n", + "--------------------------------------------------\n", + "Subject: 907312 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 930299 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 1298157\n", + "Iter: 4 Subject: 1298157\n", + "Iter: 1 Subject: 1480372\n", + "Iter: 1 Subject: 1298533\n", + "--------------------------------------------------\n", + "Subject: 905954.1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1298533\n", + "Iter: 2 Subject: 1480372\n", + "Iter: 1 Subject: 930299\n", + "Iter: 3 Subject: 1480372\n", + "Iter: 3 Subject: 1298533\n", + "Iter: 4 Subject: 1480372\n", + "Iter: 4 Subject: 1298533\n", + "Iter: 2 Subject: 930299\n", + "Iter: 3 Subject: 930299\n", + "Iter: 4 Subject: 930299\n", + "Iter: 1 Subject: 905954.1\n", + "Iter: 2 Subject: 905954.1\n", + "Iter: 3 Subject: 905954.1\n", + "Iter: 4 Subject: 905954.1\n", + "_____________________________________________________________________\n", + "Finish nuSvm\n", + "Finish mixer\n", + "Get Medias\n", + "Creating population (Count: 1000)...\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 1 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 893 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--------------------------------------------------\n", + "Creating Subject: 894 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 895 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 896 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 912 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 913 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 914 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 915 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 916 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "--------------------------------------------------Creating Subject: 936 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "--------------------------------------------------\n", + "Creating Subject: 937 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 938 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 939 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 940 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--------------------------------------------------\n", + "Creating Subject: 941 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 942 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 944 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Creating Subject: 943 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 946 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 945 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 947 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 948 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 949 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 950 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 951 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 952 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 953 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 954 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 955 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 956 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 957 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 958 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 959 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 960 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 961 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 962 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 963 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 964 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 965 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 966 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 967 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 968 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 969 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 970 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 971 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 972 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 973 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 974 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 975 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 976 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 977 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 978 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 979 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 980 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 981 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 982 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 983 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 984 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 985 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 986 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 987 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 988 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 989 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--------------------------------------------------\n", + "Creating Subject: 990 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 991 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 992 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 993 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 994 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 995 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 996 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 997 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 998 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 999 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Finish creating population\n", + "Finish\n", + "Running mixer with porpulationBased (Count: 1001)\n", + "Normalizing data\n", + "Processing...\n", + "----------------------------------------------------------------------------------------------------\n", + "Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1\n", + "Iter: 1 Subject: 3\n", + "Iter: 1 Subject: 2\n", + "Iter: 1 Subject: 0\n", + "Iter: 2 Subject: 1\n", + "Iter: 2 Subject: 3\n", + "Iter: 2 Subject: 0\n", + "Iter: 2 Subject: 2\n", + "Iter: 3 Subject: 1\n", + "Iter: 3 Subject: 3\n", + "Iter: 3 Subject: 0\n", + "Iter: 3 Subject: 2\n", + "Iter: 4 Subject: 3\n", + "Iter: 4 Subject: 1\n", + "--------------------------------------------------\n", + "Subject: 4 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 5 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 0\n", + "Iter: 5 Subject: 1\n", + "--------------------------------------------------\n", + "Subject: 6 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 7 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 5\n", + "Iter: 2 Subject: 5\n", + "Iter: 1 Subject: 4\n", + "Iter: 1 Subject: 6\n", + "Iter: 3 Subject: 5\n", + "Iter: 1 Subject: 7\n", + "--------------------------------------------------\n", + "Subject: 8 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 4\n", + "Iter: 2 Subject: 6\n", + "Iter: 3 Subject: 4\n", + "Iter: 3 Subject: 6\n", + "Iter: 4 Subject: 4\n", + "Iter: 2 Subject: 7\n", + "--------------------------------------------------\n", + "Subject: 9 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 8\n", + "Iter: 4 Subject: 6\n", + "Iter: 3 Subject: 7\n", + "--------------------------------------------------\n", + "Subject: 10 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 7\n", + "Iter: 2 Subject: 8\n", + "Iter: 5 Subject: 7\n", + "Iter: 1 Subject: 9\n", + "Iter: 3 Subject: 8\n", + "--------------------------------------------------\n", + "Subject: 11 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 10\n", + "Iter: 2 Subject: 9\n", + "Iter: 4 Subject: 8\n", + "--------------------------------------------------\n", + "Subject: 12 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 9\n", + "Iter: 2 Subject: 10\n", + "Iter: 1 Subject: 11\n", + "--------------------------------------------------\n", + "Subject: 13 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 11\n", + "Iter: 3 Subject: 10\n", + "Iter: 1 Subject: 12\n", + "Iter: 4 Subject: 10\n", + "Iter: 3 Subject: 11\n", + "Iter: 1 Subject: 13\n", + "--------------------------------------------------\n", + "Subject: 14 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 15 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 1 Subject: 489\n", + "Iter: 2 Subject: 488\n", + "Iter: 2 Subject: 489\n", + "Iter: 3 Subject: 488\n", + "Iter: 3 Subject: 489\n", + "Iter: 1 Subject: 491\n", + "Iter: 1 Subject: 490\n", + "Iter: 4 Subject: 488\n", + "Iter: 4 Subject: 489\n", + "Iter: 2 Subject: 491\n", + "--------------------------------------------------\n", + "Subject: 492 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 493 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 3 Subject: 652\n", + "Iter: 3 Subject: 651\n", + "Iter: 1 Subject: 653\n", + "--------------------------------------------------\n", + "Subject: 655 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 651\n", + "Iter: 2 Subject: 653--------------------------------------------------\n", + "Subject: 656 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Iter: 1 Subject: 654\n", + "Iter: 3 Subject: 653\n", + "Iter: 1 Subject: 655\n", + "Iter: 4 Subject: 653\n", + "Iter: 2 Subject: 654\n", + "Iter: 1 Subject: 656\n", + "--------------------------------------------------\n", + "Subject: 657 Nro. 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Subject: [PATCH 22/52] testing gct file --- .ipynb_checkpoints/Untitled-checkpoint.ipynb | 6 + .ipynb_checkpoints/cellines-checkpoint.ipynb | 2070 ++++++++++++++++++ Mixture/Mixture.egg-info/PKG-INFO | 2 +- Mixture/Mixture.egg-info/requires.txt | 8 +- Mixture/build/lib/Mixture/Utils.py | 5 +- Mixture/build/lib/Mixture/__init__.py | 61 +- NewmanFL TIL10.ipynb | 100 +- Test Beta List.ipynb | 100 +- Test read rds.ipynb | 1807 ++------------- Untitled.ipynb | 63 + cellines.ipynb | 55 +- 11 files changed, 2550 insertions(+), 1727 deletions(-) create mode 100644 .ipynb_checkpoints/Untitled-checkpoint.ipynb create mode 100644 .ipynb_checkpoints/cellines-checkpoint.ipynb create mode 100644 Untitled.ipynb diff --git a/.ipynb_checkpoints/Untitled-checkpoint.ipynb b/.ipynb_checkpoints/Untitled-checkpoint.ipynb new file mode 100644 index 0000000..2fd6442 --- /dev/null +++ b/.ipynb_checkpoints/Untitled-checkpoint.ipynb @@ -0,0 +1,6 @@ +{ + "cells": [], + "metadata": {}, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/.ipynb_checkpoints/cellines-checkpoint.ipynb b/.ipynb_checkpoints/cellines-checkpoint.ipynb new file mode 100644 index 0000000..29ea59d --- /dev/null +++ b/.ipynb_checkpoints/cellines-checkpoint.ipynb @@ -0,0 +1,2070 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import rpy2\n", + "import rpy2.robjects as robjects\n", + "from rpy2.robjects import pandas2ri\n", + "readRDS = robjects.r['readRDS']\n", + "from rpy2.robjects.conversion import localconverter\n", + "import pandas as pd\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from rpy2.robjects.packages import importr" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "R[write to console]: Installing package into ‘/home/matias/R/x86_64-pc-linux-gnu-library/3.6’\n", + "(as ‘lib’ is unspecified)\n", + "\n", + "R[write to console]: probando la URL 'https://cloud.r-project.org/src/contrib/BiocManager_1.30.7.tar.gz'\n", + "\n", + "R[write to console]: Content type 'application/x-gzip'\n", + "R[write to console]: length 38020 bytes (37 KB)\n", + "\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + 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KernSmooth\n", + "\n" + ] + } + ], + "source": [ + "biocmanager = importr('BiocManager')\n", + "biocmanager.install('limma')\n", + "limma = importr('limma')" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "df = readRDS('./data/celllines.rds')" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "with localconverter(robjects.default_converter + pandas2ri.converter):\n", + " df = robjects.conversion.rpy2py(df)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "vector = np.array(df[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "ename": "ValueError", + "evalue": "all the input array dimensions for the concatenation axis must match exactly, but along dimension 0, the array at index 0 has size 16532 and the array at index 1 has size 1", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mcolumns\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'V'\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minsert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Gene Symbol'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mY\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumn_stack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvector\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mcolumn_stack\u001b[0;34m(*args, **kwargs)\u001b[0m\n", + "\u001b[0;32m~/.local/lib/python3.6/site-packages/numpy/lib/shape_base.py\u001b[0m in \u001b[0;36mcolumn_stack\u001b[0;34m(tup)\u001b[0m\n\u001b[1;32m 639\u001b[0m \u001b[0marr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msubok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mndmin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mT\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 640\u001b[0m \u001b[0marrays\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 641\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_nx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconcatenate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marrays\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 642\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 643\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mconcatenate\u001b[0;34m(*args, **kwargs)\u001b[0m\n", + "\u001b[0;31mValueError\u001b[0m: all the input array dimensions for the concatenation axis must match exactly, but along dimension 0, the array at index 0 has size 16532 and the array at index 1 has size 1" + ] + } + ], + "source": [ + "vector = [x[2] for x in df]\n", + "vector.insert(0, df[0].rownames)\n", + "columns = ['V' + str(x+1) for x in range(len(df))]\n", + "columns.insert(0, 'Gene Symbol')\n", + "Y = pd.DataFrame(np.column_stack(vector), columns=columns)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "df = readRDS('./data/BRCA_rna.rds')\n", + "with localconverter(robjects.default_converter + pandas2ri.converter):\n", + " brcapd = robjects.conversion.rpy2py(df)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " FloatMatrix with 24909930 elements.\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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"metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.8" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/Mixture/Mixture.egg-info/PKG-INFO b/Mixture/Mixture.egg-info/PKG-INFO index 13bb06d..ae1b474 100644 --- a/Mixture/Mixture.egg-info/PKG-INFO +++ b/Mixture/Mixture.egg-info/PKG-INFO @@ -1,6 +1,6 @@ Metadata-Version: 1.0 Name: Mixture -Version: 0.5 +Version: 0.7 Summary: Mixture for Py Home-page: https://github.com/MsMatias/MixturePy Author: Mixture diff --git a/Mixture/Mixture.egg-info/requires.txt b/Mixture/Mixture.egg-info/requires.txt index 9b20b87..acaea69 100644 --- a/Mixture/Mixture.egg-info/requires.txt +++ b/Mixture/Mixture.egg-info/requires.txt @@ -1,4 +1,6 @@ -pandas +joblib numpy -sklearn -rpy2 +openpyxl +pandas +scikit-learn +xlrd diff --git a/Mixture/build/lib/Mixture/Utils.py b/Mixture/build/lib/Mixture/Utils.py index 0d61302..2a6efc4 100644 --- a/Mixture/build/lib/Mixture/Utils.py +++ b/Mixture/build/lib/Mixture/Utils.py @@ -27,6 +27,7 @@ def generateXlsx (result, pValues, nameFile): with pd.ExcelWriter( nameFile + '.xlsx') as writer: result.Subjects[0].MIXabs[0].to_excel(writer, sheet_name='Absolute') result.Subjects[0].MIXprop[0].to_excel(writer, sheet_name='Proportions') - result.Subjects[0].ACCmetrix[0].to_excel(writer, sheet_name='Metrics') - pValues.to_excel(writer, sheet_name='Pvalues') + result.Subjects[0].ACCmetrix[0].to_excel(writer, sheet_name='Metrics') + if pValues is not None: + pValues.to_excel(writer, sheet_name='Pvalues') result.usedGenes[0].to_excel(writer, sheet_name='UsedGenes', index=False) \ No newline at end of file diff --git a/Mixture/build/lib/Mixture/__init__.py b/Mixture/build/lib/Mixture/__init__.py index 45c1978..c3c1b6b 100644 --- a/Mixture/build/lib/Mixture/__init__.py +++ b/Mixture/build/lib/Mixture/__init__.py @@ -35,42 +35,55 @@ def Mixture (X, Y, cores = 1, iter = 100, nameFile = 'output'): matRand = list() - print('Creating population (Count: ' + str(iter) + ')...') + if iter > 0: - matRand = Parallel(n_jobs=cores, backend='threading')(delayed(Utils.sampleRandom)(Y = Y, i = i, verbose = 1) for i in range(iter)) + print('Creating population (Count: ' + str(iter) + ')...') - #for i in range(iter): - # matRand.append(Utils.sampleRandom(Y, i, 1)) + matRand = Parallel(n_jobs=cores, backend='threading')(delayed(Utils.sampleRandom)(Y = Y, i = i, verbose = 1) for i in range(iter)) - print('Finish creating population') + #for i in range(iter): + # matRand.append(Utils.sampleRandom(Y, i, 1)) - matRand = map(list, zip(*matRand)) - matRand = pd.DataFrame(matRand, Y['Gene symbol']) - matRand.reset_index(drop=True, inplace=True) - matRand = pd.concat([Y['Gene symbol'], matRand], sort = False, axis = 1) + print('Finish creating population') - print('Finish') + matRand = map(list, zip(*matRand)) + matRand = pd.DataFrame(matRand, Y['Gene symbol']) + matRand.reset_index(drop=True, inplace=True) + matRand = pd.concat([Y['Gene symbol'], matRand], sort = False, axis = 1) - print('Running mixer with porpulationBased (Count: ' + str(matRand.shape[1]) + ')') - # Run Mixer Function with Random Matrix - outMix = Mixer(X, matRand, cores) + print('Finish') - #geneList = pd.DataFrame(geneList) + print('Running mixer with porpulationBased (Count: ' + str(matRand.shape[1]) + ')') + # Run Mixer Function with Random Matrix + outMix = Mixer(X, matRand, cores) - result = pd.DataFrame([orig, outMix.ACCmetrix[0], geneList], ['Subjects', 'PermutedMetrix', 'usedGenes']).T + #geneList = pd.DataFrame(geneList) - result.usedGenes[0] = pd.DataFrame(result.usedGenes[0]) + result = pd.DataFrame([orig, outMix.ACCmetrix[0], geneList], ['Subjects', 'PermutedMetrix', 'usedGenes']).T - pValues = list() - - pValues = result.Subjects[0].ACCmetrix[0].apply(Utils.getPValues, args=(result.PermutedMetrix[0], ), axis = 1) - pValues = pd.DataFrame(pValues.values.tolist(), index = pValues.index, columns=['RMSEa', 'RMSEa', 'Ra', 'Rp']) - - print('Finish') + result.usedGenes[0] = pd.DataFrame(result.usedGenes[0]) + + pValues = list() + + pValues = result.Subjects[0].ACCmetrix[0].apply(Utils.getPValues, args=(result.PermutedMetrix[0], ), axis = 1) + pValues = pd.DataFrame(pValues.values.tolist(), index = pValues.index, columns=['RMSEa', 'RMSEa', 'Ra', 'Rp']) + + print('Finish') + + Utils.generateXlsx (result, pValues, nameFile) + + return result, pValues + else: + + result = pd.DataFrame([orig, geneList], ['Subjects', 'usedGenes']).T + + result.usedGenes[0] = pd.DataFrame(result.usedGenes[0]) + + print('Finish') - Utils.generateXlsx (result, pValues, nameFile) + Utils.generateXlsx (result, None, nameFile) - return result, pValues + return result, None diff --git a/NewmanFL TIL10.ipynb b/NewmanFL TIL10.ipynb index 6bef8f8..8859dfc 100644 --- a/NewmanFL TIL10.ipynb +++ b/NewmanFL TIL10.ipynb @@ -2,9 +2,103 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 35, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "ERROR:root:Internal Python error in the inspect module.\n", + "Below is the traceback from this internal error.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Traceback (most recent call last):\n", + " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py\", line 3326, in run_code\n", + " exec(code_obj, self.user_global_ns, self.user_ns)\n", + " File \"\", line 5, in \n", + " import Mixture\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/Mixture/__init__.py\", line 7, in \n", + " from Mixture.Mixer import Mixer\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/Mixture/Mixer.py\", line 8, in \n", + " from Mixture.nuSvmRobust import nuSvmRobust\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/Mixture/nuSvmRobust.py\", line 12, in \n", + " from Mixture import tuneSvmForDeconv\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/Mixture/tuneSvmForDeconv.py\", line 8, in \n", + " from sklearn.svm import NuSVR\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/svm/__init__.py\", line 13, in \n", + " from .classes import SVC, NuSVC, SVR, NuSVR, OneClassSVM, LinearSVC, \\\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/svm/classes.py\", line 4, in \n", + " from .base import _fit_liblinear, BaseSVC, BaseLibSVM\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/svm/base.py\", line 9, in \n", + " from ..preprocessing import LabelEncoder\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/preprocessing/__init__.py\", line 6, in \n", + " from ._function_transformer import FunctionTransformer\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/preprocessing/_function_transformer.py\", line 5, in \n", + " from ..utils.testing import assert_allclose_dense_sparse\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/utils/testing.py\", line 718, in \n", + " import pytest\n", + " File \"/usr/lib/python3/dist-packages/pytest.py\", line 13, in \n", + " from _pytest.fixtures import fixture, yield_fixture\n", + " File \"/usr/lib/python3/dist-packages/_pytest/fixtures.py\", line 842, in \n", + " class FixtureFunctionMarker(object):\n", + " File \"/usr/lib/python3/dist-packages/_pytest/fixtures.py\", line 844, in FixtureFunctionMarker\n", + " params = attr.ib(convert=attr.converters.optional(tuple))\n", + "TypeError: attrib() got an unexpected keyword argument 'convert'\n", + "\n", + "During handling of the above exception, another exception occurred:\n", + "\n", + "Traceback (most recent call last):\n", + " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py\", line 2040, in showtraceback\n", + " stb = value._render_traceback_()\n", + "AttributeError: 'TypeError' object has no attribute '_render_traceback_'\n", + "\n", + "During handling of the above exception, another exception occurred:\n", + "\n", + "Traceback (most recent call last):\n", + " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/ultratb.py\", line 1101, in get_records\n", + " return _fixed_getinnerframes(etb, number_of_lines_of_context, tb_offset)\n", + " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/ultratb.py\", line 319, in wrapped\n", + " return f(*args, **kwargs)\n", + " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/ultratb.py\", line 353, in _fixed_getinnerframes\n", + " records = fix_frame_records_filenames(inspect.getinnerframes(etb, context))\n", + " File \"/usr/lib/python3.6/inspect.py\", line 1490, in getinnerframes\n", + " frameinfo = (tb.tb_frame,) + getframeinfo(tb, context)\n", + " File \"/usr/lib/python3.6/inspect.py\", line 1448, in getframeinfo\n", + " filename = getsourcefile(frame) or getfile(frame)\n", + " File \"/usr/lib/python3.6/inspect.py\", line 696, in getsourcefile\n", + " if getattr(getmodule(object, filename), '__loader__', None) is not None:\n", + " File \"/usr/lib/python3.6/inspect.py\", line 733, in getmodule\n", + " if ismodule(module) and hasattr(module, '__file__'):\n", + " File \"/usr/lib/python3/dist-packages/py/_vendored_packages/apipkg.py\", line 195, in __getattribute__\n", + " return getattr(getmod(), name)\n", + " File \"/usr/lib/python3/dist-packages/py/_vendored_packages/apipkg.py\", line 179, in getmod\n", + " x = importobj(modpath, None)\n", + " File \"/usr/lib/python3/dist-packages/py/_vendored_packages/apipkg.py\", line 69, in importobj\n", + " module = __import__(modpath, None, None, ['__doc__'])\n", + " File \"/usr/lib/python3/dist-packages/pytest.py\", line 13, in \n", + " from _pytest.fixtures import fixture, yield_fixture\n", + " File \"/usr/lib/python3/dist-packages/_pytest/fixtures.py\", line 842, in \n", + " class FixtureFunctionMarker(object):\n", + " File \"/usr/lib/python3/dist-packages/_pytest/fixtures.py\", line 844, in FixtureFunctionMarker\n", + " params = attr.ib(convert=attr.converters.optional(tuple))\n", + "TypeError: attrib() got an unexpected keyword argument 'convert'\n" + ] + }, + { + "ename": "TypeError", + "evalue": "attrib() got an unexpected keyword argument 'convert'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m" + ] + } + ], "source": [ "import pandas as pd\n", "import numpy as np\n", @@ -913,7 +1007,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.7" + "version": "3.6.8" } }, "nbformat": 4, diff --git a/Test Beta List.ipynb b/Test Beta List.ipynb index 3b02bd2..9d9cadd 100644 --- a/Test Beta List.ipynb +++ b/Test Beta List.ipynb @@ -2,9 +2,103 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 22, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "ERROR:root:Internal Python error in the inspect module.\n", + "Below is the traceback from this internal error.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Traceback (most recent call last):\n", + " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py\", line 3326, in run_code\n", + " exec(code_obj, self.user_global_ns, self.user_ns)\n", + " File \"\", line 5, in \n", + " import Mixture\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/Mixture/__init__.py\", line 7, in \n", + " from Mixture.Mixer import Mixer\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/Mixture/Mixer.py\", line 8, in \n", + " from Mixture.nuSvmRobust import nuSvmRobust\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/Mixture/nuSvmRobust.py\", line 12, in \n", + " from Mixture import tuneSvmForDeconv\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/Mixture/tuneSvmForDeconv.py\", line 8, in \n", + " from sklearn.svm import NuSVR\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/svm/__init__.py\", line 13, in \n", + " from .classes import SVC, NuSVC, SVR, NuSVR, OneClassSVM, LinearSVC, \\\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/svm/classes.py\", line 4, in \n", + " from .base import _fit_liblinear, BaseSVC, BaseLibSVM\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/svm/base.py\", line 9, in \n", + " from ..preprocessing import LabelEncoder\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/preprocessing/__init__.py\", line 6, in \n", + " from ._function_transformer import FunctionTransformer\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/preprocessing/_function_transformer.py\", line 5, in \n", + " from ..utils.testing import assert_allclose_dense_sparse\n", + " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/utils/testing.py\", line 718, in \n", + " import pytest\n", + " File \"/usr/lib/python3/dist-packages/pytest.py\", line 13, in \n", + " from _pytest.fixtures import fixture, yield_fixture\n", + " File \"/usr/lib/python3/dist-packages/_pytest/fixtures.py\", line 842, in \n", + " class FixtureFunctionMarker(object):\n", + " File \"/usr/lib/python3/dist-packages/_pytest/fixtures.py\", line 844, in FixtureFunctionMarker\n", + " params = attr.ib(convert=attr.converters.optional(tuple))\n", + "TypeError: attrib() got an unexpected keyword argument 'convert'\n", + "\n", + "During handling of the above exception, another exception occurred:\n", + "\n", + "Traceback (most recent call last):\n", + " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py\", line 2040, in showtraceback\n", + " stb = value._render_traceback_()\n", + "AttributeError: 'TypeError' object has no attribute '_render_traceback_'\n", + "\n", + "During handling of the above exception, another exception occurred:\n", + "\n", + "Traceback (most recent call last):\n", + " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/ultratb.py\", line 1101, in get_records\n", + " return _fixed_getinnerframes(etb, number_of_lines_of_context, tb_offset)\n", + " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/ultratb.py\", line 319, in wrapped\n", + " return f(*args, **kwargs)\n", + " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/ultratb.py\", line 353, in _fixed_getinnerframes\n", + " records = fix_frame_records_filenames(inspect.getinnerframes(etb, context))\n", + " File \"/usr/lib/python3.6/inspect.py\", line 1490, in getinnerframes\n", + " frameinfo = (tb.tb_frame,) + getframeinfo(tb, context)\n", + " File \"/usr/lib/python3.6/inspect.py\", line 1448, in getframeinfo\n", + " filename = getsourcefile(frame) or getfile(frame)\n", + " File \"/usr/lib/python3.6/inspect.py\", line 696, in getsourcefile\n", + " if getattr(getmodule(object, filename), '__loader__', None) is not None:\n", + " File \"/usr/lib/python3.6/inspect.py\", line 733, in getmodule\n", + " if ismodule(module) and hasattr(module, '__file__'):\n", + " File \"/usr/lib/python3/dist-packages/py/_vendored_packages/apipkg.py\", line 195, in __getattribute__\n", + " return getattr(getmod(), name)\n", + " File \"/usr/lib/python3/dist-packages/py/_vendored_packages/apipkg.py\", line 179, in getmod\n", + " x = importobj(modpath, None)\n", + " File \"/usr/lib/python3/dist-packages/py/_vendored_packages/apipkg.py\", line 69, in importobj\n", + " module = __import__(modpath, None, None, ['__doc__'])\n", + " File \"/usr/lib/python3/dist-packages/pytest.py\", line 13, in \n", + " from _pytest.fixtures import fixture, yield_fixture\n", + " File \"/usr/lib/python3/dist-packages/_pytest/fixtures.py\", line 842, in \n", + " class FixtureFunctionMarker(object):\n", + " File \"/usr/lib/python3/dist-packages/_pytest/fixtures.py\", line 844, in FixtureFunctionMarker\n", + " params = attr.ib(convert=attr.converters.optional(tuple))\n", + "TypeError: attrib() got an unexpected keyword argument 'convert'\n" + ] + }, + { + "ename": "TypeError", + "evalue": "attrib() got an unexpected keyword argument 'convert'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m" + ] + } + ], "source": [ "import pandas as pd\n", "import numpy as np\n", @@ -200,7 +294,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.7" + "version": "3.6.8" } }, "nbformat": 4, diff --git a/Test read rds.ipynb b/Test read rds.ipynb index 740f669..29ea59d 100644 --- a/Test read rds.ipynb +++ b/Test read rds.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -17,1662 +17,7 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "df = readRDS('./data/betas.list.rds')" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "with localconverter(robjects.default_converter + pandas2ri.converter):\n", - " df = robjects.conversion.rpy2py(df)" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "vector = [x[2] for x in df]\n", - "vector.insert(0, df[0][2].rownames)\n", - "columns = ['V' + str(x+1) for x in range(len(df))]\n", - "columns.insert(0, 'Gene Symbol')\n", - "Y = pd.DataFrame(np.column_stack(vector), columns=columns)" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Gene SymbolV1V2V3V4V5V6V7V8V9...V991V992V993V994V995V996V997V998V999V1000
0ABCB48.94550878668857142.0724776911894271.095285830203018.04453183554728253.8309274372928143.7526516849926447.5821596168339847.83023787441450915.211115396090932...84.864942954078454.9427464197989511.45812667764591512.5626648114918511.183132674702401111.092859368384848.882520216101987152.604924651204316.7045948530379658.549290357489475
1ABCB921.4558628153882425.91268912651335732.4604286785336327.94075499380968430.6591871509269159.3097290732678762.01436649041822673.3105230383113942.817620728599664...138.652920671424465.280664586519439.72196282643308527.82824993927770473.52897586763609113.4986264234487326.06573589974402737.99811954401485529.6150758652459969.97410133023344
2ACAP1305.8003680836939305.7011755433671440.246375026777971078.154314765017354.591811381878394.696046329347449.84915217440215738.459591784776493.28662497059479...1017.0174361071786638.86991673414011278.3166669167126463.63779295489707410.9647067888013264.9470108659395300.68062599282007570.847867425938535.4805442367293373.98597191723155
3ACHE65.8639092475342432.63294205484826200.3441011437653625.518450100780315.57694798515082715.815798545366984475.518668314543918.8085695628790516.28632521753172...22.6120072549205615.66143928207920823.68609996077119527.3303955725510921.75984246910395222.1329624048297326.80778515758989824.27099824520131249.7665961372101118.725972235710486
4ACP51764.1733647123567736.85031116100722243.2531217404157708.548176187372489.96139909532765264.9798647881755558.3142206036053516.6491801234874284.8608887091761...715.27741953416866588.323312547915624.9081346449464385.42599323893387717.27468357897283382.4459492497986410.806940341973255143.95162606689251234.75562512797026168.356859508089
5ADAM28384.2786274423883495.9118900622092366.1981926451329641.17139171520163923.5974399348192185.9680636014652122.7658076747280274.29290478839991130.37125853684356...377.9399857933815430.111719071728363102.3980550060192984.97629303261478317.97678629492265473.637545856443821.26647001350862639.5883303020468241.7842626282134760.08929122783506
6ADAMDEC1613.2793075278353729.30835715299711924.2652885866396162.34121032788238401.0550621822089218.20240196444333063.9207542754911070.89622212731751029.702640377484...228.00567313919026111.80467799278306171.4656232736872204.91529619078094360.444552139406771503.7107514006777163.624750791497751896.617049526963828.1276973269919344.83418014450086
7ADAMTS357.485602114303596180.8419756949069166.355967828401460.81505647734835277.7693412116771126.1170755460157148.57312494284343565.01932603585642563.1554795020025...173.5823595318268541.36532991810506100.9179270500283499.59784893042666143.7865095200978471.1192117032363261.2508914497106585.2475495406572175.85034449271697116.16401657889527
8ADRB21121.53806988031221121.69466229213481543.20165125547281035.69758360268571773.1652506058476809.0927755504631363.5489145046405287.572388204103734007.660932716798...853.2621611010159132.33415876979632482.82503558290021424.01801186666061828.179154640588693.04169519436821620.9042823820796610.43848589508551088.03568554642776.2289337602033
9AIF147.9380687991746525.1687671130055886.1933614323967443.1058162810676582.60865920701942645.13726572810671565.49637631693672602.2920757653331787.4477313298903...671.15612268310011482.92220262754383222.6471301794454092.7860616626813601.4745605790089755.1034346185752732.02720380092251581.4931367021762258.2972992516832706.1805447842426
10AIM21475.594386851213896.9894621162189671.5669634658501569.6975040049479237.607333270948631005.763742639681203.4138374000413610.491925980570682.28898805948252...331.1181628807226695.0131277907902560.8933132000059632.21394613141621013.303740426728810.57019258554841391.7542374398743226.819283114086521050.7661059966758281.7429048518113
11ALOX1522.63879103688073311.87844367223997852.9138261292828416.7456992062530411.8459109051294041002.677467070874935.755696150732414.77874752195930210.96658588431682...14.9460406310046741310.118857756463526.32076923157150423.52528350460914649.259196159698625525.48547139510511.33082736433182115.2085577522955621.6640881754732671255.850107414709
12ALOX5713.4876598034396635.3226174907386630.8547648703081231.186222616230571038.8725266620004721.0067546641477105.35276466570323919.2089257453468623.2262200398607...428.723415028726572.411930972298791564.71042229567341879.907168411435781.9406791204296569.7536092220108311.95489433092996997.02161649580231355.8054807734043657.58815140711
13AMPD1100.77745875514024117.9617777742186791.9511114148959986.0733828032595156.9178162508581293.055422215827274.1697332157297276.583365149750463.06964254711745...587.018396942748269.75434127317502127.69807688467895148.75003627036273336.02262432545035449.1947049114066398.60183783368431129.2055140667967121.01103583367427100.26378013097036
14ANGPT415.95805675537533144.0308719631145638.06089534255378548.9829528737926531.4810299734777942.1525002034346620.44082705654050360.26842209406150632.668727511646125...58.7744198338482164.0037521381630532.1573354529375732.4308079447928344.4566194002723444.29192291142890553.0919884341758226.43004172562529827.49791036707072329.521950734707954
15ANKRD55133.35442777311022201.67913982402814374.016410622737404.11419797678013281.72674250509107386.2493217651667111.59068678955268727.2727891380632135.77423927095072...1081.5427788844954642.9566045786087273.1920139830856315.09829469779066247.28381372764505306.6416747391718143.55504896893575337.662200027048217.0939770317358243.24596460882782
16APOBEC3A862.9694310738864286.70956918974497810.1573753563101316.3995745903248580.97995418909625435.20450170422681880.37539891378451256.108700300621458.16266425999429...99.9763149815488187.750717893136882879.4905849848633547.4177019821336303.996665631371461223.0749011772027497.683673333017288.1529319083562072.362513728801994.7020536173249
17APOBEC3G4013.365708058941243.58612920473371462.5049544144662564.96192310815741342.6718639923881516.5142828556736815.7725660215746529.5935000106398520.1310022949352...800.959297603623304.2224710731514715.66029554918782538.8267926615723099.23453352881731399.1106621615234102.240264492116656.1607206413755748.2036584213492815.761148843913
18APOL3891.2883318897524669.24984229035481874.935455514743889.3834686281762576.3780926028182414.463085044370763898.3221115263145502.548586560652205.29238417840887...709.9044236832189292.1871698582227538.8907661457622553.4499080559185717.2506291402391919.5251209293441155.04571259385366.4488843954487417.66798772437295542.4051680509283
19APOL6112.4644267460731733.76362694755524168.691414092484910.24482084930918516.90917991172455411.019340809972665337.1028730476211.9035544995291917.802151688525804...13.7183613427257528.05500276408145216.29047437492442215.15212350765137369.00699699033314156.303214105344825.91504922725405512.335683065682937.54939738783901510.472363221619592
20AQP9443.61699940300974702.38338540889121287.5661934143282100.92661300235407188.66733035155954768.63056695862531966.14006076749023483.00938524879441040.2166150100425...99.65387590325572517.87593642192257054.9512624717738041.927045333306307.2262663976957992.1579098374276129.316939484799921414.50435116440494699.6040628477343047.8961213764187
21ARHGAP22882.7249666883738293.5013748383866102.9551415977991822.71276473525884435.38079441569877135.90813903627134687.528289361530869.8910879007926748.816092481242706...54.685547824388635157.323302909246226.3375990890355917.09351697798821240.73038253799407596.07587828704813.496927020650183105.38017936580582524.0994968309664154.03043239458495
22ARRB152.9027044654688725.103167064480168197.838174374356313.61147289901497526.8777211861064392.44828208138148320.0420607183751141.3955847919365939.765721100995606...22.21144856695893229.49700056454402420.63277609938649325.36012779606200241.0914560272256146.6497956546736517.805063666719462142.4874728444973826.30237385086054835.025444072161726
23ASGR126.17981325757010336.2269627987137439.83283598818579127.9689098106775438.41639599396858184.7651303757477641.5802958602428159.9718619679546558.89085182594806...27.10336507622910336.96359031961693448.00639870978697171.3293332512663579.4159509900784439.48208700903569204.290206101331266.7445753205315853.19717313043537458.27017889296159
24ASGR229.02401159937376829.62745339763601432.04329880933961112.163026268277131.18318634043948253.1929214000981651.16584899336147211.8781796625070222.7531685322554...33.4911437510136839.16960035161715680.7773139573929299.0119757722885154.02949951571936536.099497036350634122.15856028076522115.67212380756945.0674831200005943.00708542623359
25ATHL1360.1262209660847292.25412289501435461.18796276425195649.8297636480091382.58746498901843579.7025758176665119.342599406656351711.517071633866268.11840448374872...3066.5975886708457988.3030129184981758.1034540287822811.9250707100699395.8843758319059325.0338417986783221.79289166215256226.03273177634892487.32289706767494433.71793604257743
26ATP8B4404.4283615452747695.9881854309014485.474045581172969.41983152727718615.2244743862433488.5261161501277243.8490019583868289.05822741624871907.5654039323597...333.2860384903771303.3781454282029777.62584307325707100.21165341645573610.3496966493882245.394338185401196.60302516948404248.55630685797124621.0907847263395613.7806571079789
27ATXN8OS12.6306950736704212.9459836244300515.42046752874702718.7871677495630918.43928699716619213.236734444663612.95655790723910219.87300536506821317.3435496044261...34.2981453100047411.49372458756616.1555013558070919.4680999372345224.97331635538973827.95232094742049620.85494295755083615.67893423217256913.64362061620085211.550325961343761
28AZU1167.61956701194566334.39801516372233171.14116382548220.074461869117307205.34579240255118116.7324684109279183.8539773320527244.70546710012274755.0374715146393...108.0823757586883635.2100894925991147.970479610262661.512331158737624214.9242419811068393.1098770065104928.4270428598914573.37535427428364313.06532788760285204.92608443020066
29BACH2568.13869746730321223.9257404289508713.7145258653374450.3793517093462137.033490077783254.64161625901028149.28721525812395375.750346267595875.1486950124408...1445.9437645580751161.61925864098075284.838347549875327.3498600460665533.4769171170614814.2510851252576544.73845761226521222.005985781527301.97380549721737173.12042861274813
..................................................................
517TRIB2831.32127515799281330.94578923090971543.39323743674822181.29729056358062008.50651252968152012.8564609890175298.870524417019061965.09025098960321751.4379533243466...1830.0423273253293365.06871047714489.3916648092668406.57847805292306940.5985745981587703.1482731213924592.0753150176065711.097720234663681.3237156697819953.1785051083522
518TRPM414.89702736650724513.27514267857887244.941677499813738.76463723305291310.90683347426815418.38305015745249494.6904747710988217.35608277588745816.547228368284976...23.96231912146248519.2099021243123438.5341780779725939.49429700427087115.14642279424632554.969430838700158.83690651695615932.5879728382552614.77132270087975418.738437497152226
519TRPM630.25006494038435237.485058444028289.4275319763406238.9207840582668234.6027146426382428.38547231568015423.55628896029639661.44241653482245619.688320970848075...29.60745731537304727.95362597776373122.68699271646338152.8521655937965789.26132328682836105.569527004670760.72272604195266123.3310431104315581.5811770409993256.725278670292425
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547 rows Ă— 1001 columns

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" - ], - "text/plain": [ - " Gene Symbol V1 V2 V3 \\\n", - "0 ABCB4 8.94550878668857 142.07247769118942 71.09528583020301 \n", - "1 ABCB9 21.45586281538824 25.912689126513357 32.46042867853363 \n", - "2 ACAP1 305.8003680836939 305.7011755433671 440.24637502677797 \n", - "3 ACHE 65.86390924753424 32.63294205484826 200.34410114376536 \n", - "4 ACP5 1764.1733647123567 736.8503111610072 2243.2531217404157 \n", - ".. ... ... ... ... \n", - "542 ZNF204P 37.64469148845124 66.57621639696356 60.350025985473806 \n", - "543 ZNF222 55.4774248386258 75.21215791755205 136.85337823236173 \n", - "544 ZNF286A 264.2317688362373 271.79354952126255 161.41180535897544 \n", - "545 ZNF324 33.1138368011349 32.07392687024596 50.0557267663098 \n", - "546 ZNF442 46.00868791504428 16.340898243919177 47.347139944681075 \n", - "\n", - " V4 V5 V6 \\\n", - "0 8.04453183554728 253.83092743729281 43.75265168499264 \n", - "1 27.940754993809684 30.65918715092691 59.30972907326787 \n", - "2 1078.154314765017 354.591811381878 394.696046329347 \n", - "3 25.5184501007803 15.576947985150827 15.815798545366984 \n", - "4 708.548176187372 489.9613990953276 5264.979864788175 \n", - ".. ... ... ... \n", - "542 93.22951762689436 88.30339164095322 37.017506280016704 \n", - "543 58.61163099859142 75.82256311928708 108.79956701008666 \n", - "544 174.9491685540492 397.8514179915508 88.36719738409386 \n", - "545 87.96233656077924 28.560296223182988 66.96901610019496 \n", - "546 99.2236033273667 35.190881345932794 42.53698101564409 \n", - "\n", - " V7 V8 V9 ... \\\n", - "0 47.582159616833984 7.830237874414509 15.211115396090932 ... \n", - "1 62.014366490418226 73.31052303831139 42.817620728599664 ... \n", - "2 449.84915217440215 738.4595917847764 93.28662497059479 ... \n", - "3 475.5186683145439 18.80856956287905 16.28632521753172 ... \n", - "4 5558.314220603605 3516.6491801234874 284.8608887091761 ... \n", - ".. ... ... ... ... \n", - "542 41.726875471281524 104.02692506955013 34.00694845077669 ... \n", - "543 50.72150481194257 78.74318926560119 218.62094640602038 ... \n", - "544 88.74859303331282 110.49534754776246 59.28723172659824 ... \n", - "545 37.002384673111685 125.34742552755493 35.753980370288396 ... \n", - "546 62.97537389167542 25.603233875832267 52.160909927481086 ... \n", - "\n", - " V991 V992 V993 \\\n", - "0 84.8649429540784 54.94274641979895 11.458126677645915 \n", - "1 138.6529206714244 65.2806645865194 39.721962826433085 \n", - "2 1017.0174361071786 638.8699167341401 1278.3166669167126 \n", - "3 22.61200725492056 15.661439282079208 23.686099960771195 \n", - "4 715.2774195341686 6588.323312547915 624.9081346449464 \n", - ".. ... ... ... \n", - "542 239.679115882159 40.27505847278823 54.92312676263032 \n", - "543 67.18643740153175 139.6851003834368 18.636002373639826 \n", - "544 133.85799276276074 71.95504644933713 292.8845007285129 \n", - "545 199.6093821360182 110.42271382022604 49.09568306058286 \n", - "546 22.765619758871154 46.31511141767416 33.43256898848725 \n", - "\n", - " V994 V995 V996 \\\n", - "0 12.56266481149185 11.183132674702401 111.09285936838484 \n", - "1 27.828249939277704 73.52897586763609 113.49862642344873 \n", - "2 463.63779295489707 410.9647067888013 264.9470108659395 \n", - "3 27.33039557255109 21.75984246910395 222.13296240482973 \n", - "4 385.42599323893387 717.2746835789728 3382.4459492497986 \n", - ".. ... ... ... \n", - "542 70.2725564847763 71.40273629790343 56.94034013498576 \n", - "543 21.38579268724771 105.502434132796 85.93196176236704 \n", - "544 359.68513164088466 173.21033385504344 199.69099939545865 \n", - "545 39.59821994605518 35.60861785170324 29.293826371645125 \n", - "546 87.49339349009725 55.2646307303308 45.17631982978862 \n", - "\n", - " V997 V998 V999 \\\n", - "0 8.882520216101987 152.6049246512043 16.70459485303796 \n", - "1 26.065735899744027 37.998119544014855 29.61507586524599 \n", - "2 300.68062599282007 570.847867425938 535.4805442367293 \n", - "3 26.807785157589898 24.270998245201312 49.76659613721011 \n", - "4 410.80694034197325 5143.9516260668925 1234.7556251279702 \n", - ".. ... ... ... \n", - "542 99.2685412734018 57.2489040374351 38.75814087972218 \n", - "543 14.435117697606273 104.57646525569567 72.55389291674643 \n", - "544 227.65374185748084 212.15004673827843 245.3129820363269 \n", - "545 38.15750806312336 42.957260167312384 38.805697277287166 \n", - "546 120.62481588666603 33.660961466526324 32.68432997155516 \n", - "\n", - " V1000 \n", - "0 58.549290357489475 \n", - "1 69.97410133023344 \n", - "2 373.98597191723155 \n", - "3 18.725972235710486 \n", - "4 6168.356859508089 \n", - ".. ... \n", - "542 62.75489622348568 \n", - "543 76.52589625817598 \n", - "544 127.37979777345316 \n", - "545 30.459135040237097 \n", - "546 26.963862299375606 \n", - "\n", - "[547 rows x 1001 columns]" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Y" - ] - }, - { - "cell_type": "code", - "execution_count": 11, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -1681,20 +26,20 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "R[write to console]: Installing package into ‘/home/matias/R/x86_64-pc-linux-gnu-library/3.5’\n", + "R[write to console]: Installing package into ‘/home/matias/R/x86_64-pc-linux-gnu-library/3.6’\n", "(as ‘lib’ is unspecified)\n", "\n", - "R[write to console]: trying URL 'https://cloud.r-project.org/src/contrib/BiocManager_1.30.4.tar.gz'\n", + "R[write to console]: probando la URL 'https://cloud.r-project.org/src/contrib/BiocManager_1.30.7.tar.gz'\n", "\n", "R[write to console]: Content type 'application/x-gzip'\n", - "R[write to console]: length 242304 bytes (236 KB)\n", + "R[write to console]: length 38020 bytes (37 KB)\n", "\n", "R[write to console]: =\n", "R[write to console]: =\n", @@ -1748,14 +93,14 @@ "R[write to console]: =\n", "R[write to console]: \n", "\n", - "R[write to console]: downloaded 236 KB\n", + "R[write to console]: downloaded 37 KB\n", "\n", "\n", "R[write to console]: \n", "\n", "R[write to console]: \n", "R[write to console]: The downloaded source packages are in\n", - "\t‘/tmp/RtmpFuk37H/downloaded_packages’\n", + "\t‘/tmp/Rtmpz0Fkjx/downloaded_packages’\n", "R[write to console]: \n", "R[write to console]: \n", "\n" @@ -1764,10 +109,10 @@ { "data": { "text/plain": [ - " [RTYPES.NILSXP]" + " [RTYPES.NILSXP]" ] }, - "execution_count": 3, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -1780,7 +125,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 5, "metadata": { "scrolled": true }, @@ -1789,14 +134,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "R[write to console]: Bioconductor version 3.8 (BiocManager 1.30.4), R 3.5.3 (2019-03-11)\n", + "R[write to console]: Bioconductor version 3.9 (BiocManager 1.30.7), R 3.6.1 (2019-07-05)\n", "\n", "R[write to console]: Installing package(s) 'limma'\n", "\n", - "R[write to console]: trying URL 'https://bioconductor.org/packages/3.8/bioc/src/contrib/limma_3.38.3.tar.gz'\n", + "R[write to console]: probando la URL 'https://bioconductor.org/packages/3.9/bioc/src/contrib/limma_3.40.6.tar.gz'\n", "\n", "R[write to console]: Content type 'application/x-gzip'\n", - "R[write to console]: length 1471609 bytes (1.4 MB)\n", + "R[write to console]: length 1481309 bytes (1.4 MB)\n", "\n", "R[write to console]: =\n", "R[write to console]: =\n", @@ -1857,12 +202,11 @@ "\n", "R[write to console]: \n", "R[write to console]: The downloaded source packages are in\n", - "\t‘/tmp/Rtmp8F0tbq/downloaded_packages’\n", + "\t‘/tmp/Rtmpz0Fkjx/downloaded_packages’\n", "R[write to console]: \n", "R[write to console]: \n", "\n", - "R[write to console]: installation path not writeable, unable to update packages: boot, cluster,\n", - " foreign, MASS, Matrix, mgcv, nlme, rpart, survival\n", + "R[write to console]: installation path not writeable, unable to update packages: KernSmooth\n", "\n" ] } @@ -1875,27 +219,132 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "df = readRDS('./data/celllines.rds')" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "with localconverter(robjects.default_converter + pandas2ri.converter):\n", + " df = robjects.conversion.rpy2py(df)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "vector = np.array(df[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 13, "metadata": {}, "outputs": [ { - "ename": "NameError", - "evalue": "name 'readRDS' is not defined", + "ename": "ValueError", + "evalue": "all the input array dimensions for the concatenation axis must match exactly, but along dimension 0, the array at index 0 has size 16532 and the array at index 1 has size 1", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mreadRDS\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'./data/BRCA_rna.rds'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mlocalconverter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrobjects\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdefault_converter\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mpandas2ri\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconverter\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mbrcapd\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrobjects\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconversion\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrpy2py\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mNameError\u001b[0m: name 'readRDS' is not defined" + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mcolumns\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'V'\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minsert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Gene Symbol'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mY\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumn_stack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvector\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mcolumn_stack\u001b[0;34m(*args, **kwargs)\u001b[0m\n", + "\u001b[0;32m~/.local/lib/python3.6/site-packages/numpy/lib/shape_base.py\u001b[0m in \u001b[0;36mcolumn_stack\u001b[0;34m(tup)\u001b[0m\n\u001b[1;32m 639\u001b[0m \u001b[0marr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msubok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mndmin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mT\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 640\u001b[0m \u001b[0marrays\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 641\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_nx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconcatenate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marrays\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 642\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 643\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mconcatenate\u001b[0;34m(*args, **kwargs)\u001b[0m\n", + "\u001b[0;31mValueError\u001b[0m: all the input array dimensions for the concatenation axis must match exactly, but along dimension 0, the array at index 0 has size 16532 and the array at index 1 has size 1" ] } ], + "source": [ + "vector = [x[2] for x in df]\n", + "vector.insert(0, df[0].rownames)\n", + "columns = ['V' + str(x+1) for x in range(len(df))]\n", + "columns.insert(0, 'Gene Symbol')\n", + "Y = pd.DataFrame(np.column_stack(vector), columns=columns)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], "source": [ "df = readRDS('./data/BRCA_rna.rds')\n", "with localconverter(robjects.default_converter + pandas2ri.converter):\n", " brcapd = robjects.conversion.rpy2py(df)" ] }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " FloatMatrix with 24909930 elements.\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + " " + ], + "text/plain": [ + "R object with classes: ('matrix',) mapped to:\n", + "[571.840000, 0.000000, 0.000000, 298.740000, ..., 1648.000000, 9778.000000, 1622.000000, 1328.000000]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[0]" + ] + }, { "cell_type": "code", "execution_count": 113, @@ -3613,7 +2062,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.7" + "version": "3.6.8" } }, "nbformat": 4, diff --git a/Untitled.ipynb b/Untitled.ipynb new file mode 100644 index 0000000..a5166db --- /dev/null +++ b/Untitled.ipynb @@ -0,0 +1,63 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "from cmapPy.pandasGEXpress.parse import parse" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "df = parse('data/gct/CCLE_RNAseq_genes_counts_20180929.gct')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.8" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/cellines.ipynb b/cellines.ipynb index 120b429..48e9079 100644 --- a/cellines.ipynb +++ b/cellines.ipynb @@ -240,7 +240,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -249,7 +249,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -259,7 +259,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -268,7 +268,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -278,7 +278,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -287,16 +287,30 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "ValueError", + "evalue": "cannot insert Gene symbol, already exists", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdfcellines_exp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minsert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Gene symbol'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m~/.local/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36minsert\u001b[0;34m(self, loc, column, value, allow_duplicates)\u001b[0m\n\u001b[1;32m 3574\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_ensure_valid_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3575\u001b[0m \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sanitize_column\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolumn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbroadcast\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3576\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minsert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mallow_duplicates\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mallow_duplicates\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3577\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3578\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0massign\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/.local/lib/python3.6/site-packages/pandas/core/internals/managers.py\u001b[0m in \u001b[0;36minsert\u001b[0;34m(self, loc, item, value, allow_duplicates)\u001b[0m\n\u001b[1;32m 1171\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mallow_duplicates\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mitem\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1172\u001b[0m \u001b[0;31m# Should this be a different kind of error??\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1173\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"cannot insert {}, already exists\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1174\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1175\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mValueError\u001b[0m: cannot insert Gene symbol, already exists" + ] + } + ], "source": [ "dfcellines_exp.insert(0, 'Gene symbol', df[2][0])" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -325,7 +339,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -698,7 +712,7 @@ "[16532 rows x 1019 columns]" ] }, - "execution_count": 19, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -709,7 +723,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -717,6 +731,23 @@ " Y.to_excel(writer, sheet_name='E')" ] }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "terminado\n" + ] + } + ], + "source": [ + "print('terminado')" + ] + }, { "cell_type": "code", "execution_count": 16, @@ -18348,7 +18379,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.7" + "version": "3.6.8" } }, "nbformat": 4, From 8e8c385791e06f2ae53f18522231ea57817e3f11 Mon Sep 17 00:00:00 2001 From: MsMatias Date: Tue, 22 Oct 2019 01:39:43 -0300 Subject: [PATCH 23/52] change assets files --- Untitled.ipynb | 476 +++++++++++++++++++++++++++++++- app/app.py | 41 ++- app/assets/img/logo.svg | 1 + app/assets/img/logo_mixture.png | Bin 16210 -> 0 bytes 4 files changed, 498 insertions(+), 20 deletions(-) create mode 100644 app/assets/img/logo.svg delete mode 100644 app/assets/img/logo_mixture.png diff --git a/Untitled.ipynb b/Untitled.ipynb index a5166db..ea52dbb 100644 --- a/Untitled.ipynb +++ b/Untitled.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 5, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -11,31 +11,493 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ - "df = parse('data/gct/CCLE_RNAseq_genes_counts_20180929.gct')" + "df = parse('data/CCLE_RNAseq_genes_counts_20180929.gct')" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
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WSUDLCL2_HAEMATOPOIETIC_AND_LYMPHOID_TISSUE \\\n", + "rid ... \n", + "ENSG00000223972.4 ... 18.0 \n", + "ENSG00000227232.4 ... 562.0 \n", + "ENSG00000243485.2 ... 11.0 \n", + "ENSG00000237613.2 ... 14.0 \n", + "ENSG00000268020.2 ... 8.0 \n", + "... ... ... \n", + "ENSG00000198695.2 ... 64989.0 \n", + "ENSG00000210194.1 ... 13.0 \n", + "ENSG00000198727.2 ... 90995.0 \n", + "ENSG00000210195.2 ... 6.0 \n", + "ENSG00000210196.2 ... 6.0 \n", + "\n", + "cid YAPC_PANCREAS YD10B_UPPER_AERODIGESTIVE_TRACT \\\n", + "rid \n", + "ENSG00000223972.4 14.0 40.0 \n", + "ENSG00000227232.4 328.0 663.0 \n", + "ENSG00000243485.2 7.0 24.0 \n", + "ENSG00000237613.2 16.0 31.0 \n", + "ENSG00000268020.2 3.0 15.0 \n", + "... ... ... \n", + "ENSG00000198695.2 55308.0 167546.0 \n", + "ENSG00000210194.1 6.0 20.0 \n", + "ENSG00000198727.2 196872.0 850259.0 \n", + "ENSG00000210195.2 5.0 22.0 \n", + "ENSG00000210196.2 19.0 128.0 \n", + "\n", + "cid YD15_SALIVARY_GLAND YD38_UPPER_AERODIGESTIVE_TRACT \\\n", + "rid \n", + "ENSG00000223972.4 39.0 25.0 \n", + "ENSG00000227232.4 270.0 233.0 \n", + "ENSG00000243485.2 24.0 20.0 \n", + "ENSG00000237613.2 19.0 24.0 \n", + "ENSG00000268020.2 7.0 5.0 \n", + "... ... ... \n", + "ENSG00000198695.2 158012.0 65175.0 \n", + "ENSG00000210194.1 56.0 19.0 \n", + "ENSG00000198727.2 383806.0 184011.0 \n", + "ENSG00000210195.2 7.0 1.0 \n", + "ENSG00000210196.2 9.0 12.0 \n", + "\n", + "cid YD8_UPPER_AERODIGESTIVE_TRACT YH13_CENTRAL_NERVOUS_SYSTEM \\\n", + "rid \n", + "ENSG00000223972.4 14.0 11.0 \n", + "ENSG00000227232.4 558.0 309.0 \n", + "ENSG00000243485.2 6.0 3.0 \n", + "ENSG00000237613.2 8.0 7.0 \n", + "ENSG00000268020.2 3.0 5.0 \n", + "... ... ... \n", + "ENSG00000198695.2 56555.0 37417.0 \n", + "ENSG00000210194.1 15.0 12.0 \n", + "ENSG00000198727.2 144686.0 85061.0 \n", + "ENSG00000210195.2 10.0 14.0 \n", + "ENSG00000210196.2 10.0 4.0 \n", + "\n", + "cid YKG1_CENTRAL_NERVOUS_SYSTEM ZR751_BREAST ZR7530_BREAST \n", + "rid \n", + "ENSG00000223972.4 5.0 13.0 6.0 \n", + "ENSG00000227232.4 811.0 500.0 945.0 \n", + "ENSG00000243485.2 1.0 6.0 5.0 \n", + "ENSG00000237613.2 0.0 10.0 4.0 \n", + "ENSG00000268020.2 4.0 3.0 2.0 \n", + "... ... ... ... \n", + "ENSG00000198695.2 55576.0 42767.0 159531.0 \n", + "ENSG00000210194.1 23.0 9.0 21.0 \n", + "ENSG00000198727.2 242084.0 89457.0 689477.0 \n", + "ENSG00000210195.2 0.0 3.0 0.0 \n", + "ENSG00000210196.2 1.0 8.0 1.0 \n", + "\n", + "[56202 rows x 1019 columns]" ] }, - "execution_count": 7, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df" + "df.data_df" ] } ], diff --git a/app/app.py b/app/app.py index b04d4dc..ff56f04 100755 --- a/app/app.py +++ b/app/app.py @@ -38,8 +38,8 @@ app.css.config.serve_locally = True -urlCss = './assets/css/main.css' -urlLogo = './assets/img/logo_mixture.png' +urlCss = 'assets/css/main.css' +urlLogo = 'assets/img/logo.svg' urlTil10 = 'data/TIL10_signature.xlsx' urlLm22 = 'data/LM22Signature.xlsx' @@ -53,22 +53,37 @@ def find_data_file(filename): datadir = os.path.dirname(__file__) return os.path.join(datadir, filename) -#urlLogo = find_data_file(urlLogo) +styleSheetFile =open(find_data_file(urlCss), "r") +logoFile = open(find_data_file(urlLogo), "r") -#print(urlLogo.replace('\\', '/')) +app.index_string = ''' + + + + {%metas%} + {%title%} + {%favicon%} + {%css%} + + + + ''' + str(logoFile.read()) + ''' + {%app_entry%} +
+ {%config%} + {%scripts%} + {%renderer%} +
+ + +''' app.layout = html.Div([ - html.Link( - rel='stylesheet', - href=urlCss - ), html.Div([ - html.Img(src=urlLogo, style = { - 'width': '300px' - }), - #html.H2('MIXTURE'), html.H6('an improved algorithm for immune tumor microenvironment estimation based on gene expression data', style = { - 'margin-top': '-20px' + 'margin-top': '-10px' }) ]), html.Div([ diff --git a/app/assets/img/logo.svg b/app/assets/img/logo.svg new file mode 100644 index 0000000..d9871e1 --- /dev/null +++ b/app/assets/img/logo.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/app/assets/img/logo_mixture.png b/app/assets/img/logo_mixture.png deleted file mode 100644 index 30b901a3ada6c6943d38d2c50d10f9408d51bfd7..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 16210 zcmdtJWmH_<)-G5D!6CQ=2=1QX?!n!H2d8j%DH1FpxO?#6u7wm3Ah^4`yL;DrPWQOy z8@IcE-245yKWgng_NcMvnrqEHpDEA!uBt49fl7=D001!LWTn&r0C)-j0LX%j2zw&P 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folder gitignore --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index 9687ed3..6cb3c1a 100644 --- a/.gitignore +++ b/.gitignore @@ -7,5 +7,6 @@ build/ dist/ app/dist/ app/build/ +data/ MixturePy.spec \ No newline at end of file From dc5b66eeb877fd81abe478a3e2114b2bad9da0fb Mon Sep 17 00:00:00 2001 From: MsMatias Date: Wed, 23 Oct 2019 12:23:34 -0300 Subject: [PATCH 25/52] cellines --- .ipynb_checkpoints/cellines-checkpoint.ipynb | 19444 +++++++++++++++-- cellines.ipynb | 439 +- 2 files changed, 17695 insertions(+), 2188 deletions(-) diff --git a/.ipynb_checkpoints/cellines-checkpoint.ipynb b/.ipynb_checkpoints/cellines-checkpoint.ipynb index 29ea59d..8046d27 100644 --- a/.ipynb_checkpoints/cellines-checkpoint.ipynb +++ b/.ipynb_checkpoints/cellines-checkpoint.ipynb @@ -24,19 +24,40 @@ "from rpy2.robjects.packages import importr" ] }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "from scipy.linalg import expm, sinm, cosm" + ] + }, { "cell_type": "code", "execution_count": 4, "metadata": {}, + "outputs": [], + "source": [ + "import Mixture\n", + "import Mixture.Utils as mut" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": true + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "R[write to console]: Installing package into ‘/home/matias/R/x86_64-pc-linux-gnu-library/3.6’\n", + "R[write to console]: Installing package into ‘/home/matias/R/x86_64-pc-linux-gnu-library/3.5’\n", "(as ‘lib’ is unspecified)\n", "\n", - "R[write to console]: probando la URL 'https://cloud.r-project.org/src/contrib/BiocManager_1.30.7.tar.gz'\n", + "R[write to console]: trying URL 'https://cloud.r-project.org/src/contrib/BiocManager_1.30.7.tar.gz'\n", "\n", "R[write to console]: Content type 'application/x-gzip'\n", "R[write to console]: length 38020 bytes (37 KB)\n", @@ -100,7 +121,7 @@ "\n", "R[write to console]: \n", "R[write to console]: The downloaded source packages are in\n", - "\t‘/tmp/Rtmpz0Fkjx/downloaded_packages’\n", + "\t‘/tmp/RtmpP5hBnz/downloaded_packages’\n", "R[write to console]: \n", "R[write to console]: \n", "\n" @@ -109,10 +130,10 @@ { "data": { "text/plain": [ - " [RTYPES.NILSXP]" + " [RTYPES.NILSXP]" ] }, - "execution_count": 4, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -125,23 +146,23 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": { - "scrolled": true + "collapsed": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "R[write to console]: Bioconductor version 3.9 (BiocManager 1.30.7), R 3.6.1 (2019-07-05)\n", + "R[write to console]: Bioconductor version 3.8 (BiocManager 1.30.7), R 3.5.3 (2019-03-11)\n", "\n", "R[write to console]: Installing package(s) 'limma'\n", "\n", - "R[write to console]: probando la URL 'https://bioconductor.org/packages/3.9/bioc/src/contrib/limma_3.40.6.tar.gz'\n", + "R[write to console]: trying URL 'https://bioconductor.org/packages/3.8/bioc/src/contrib/limma_3.38.3.tar.gz'\n", "\n", "R[write to console]: Content type 'application/x-gzip'\n", - "R[write to console]: length 1481309 bytes (1.4 MB)\n", + "R[write to console]: length 1471609 bytes (1.4 MB)\n", "\n", "R[write to console]: =\n", "R[write to console]: =\n", @@ -202,11 +223,12 @@ "\n", "R[write to console]: \n", "R[write to console]: The downloaded source packages are in\n", - "\t‘/tmp/Rtmpz0Fkjx/downloaded_packages’\n", + "\t‘/tmp/RtmpP5hBnz/downloaded_packages’\n", "R[write to console]: \n", "R[write to console]: \n", "\n", - "R[write to console]: installation path not writeable, unable to update packages: KernSmooth\n", + "R[write to console]: installation path not writeable, unable to update packages: boot, cluster,\n", + " foreign, KernSmooth, MASS, Matrix, mgcv, nlme, rpart, survival\n", "\n" ] } @@ -219,7 +241,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -228,7 +250,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -238,7 +260,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -247,1802 +269,17692 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 10, "metadata": {}, - "outputs": [ - { - "ename": "ValueError", - "evalue": "all the input array dimensions for the concatenation axis must match exactly, but along dimension 0, the array at index 0 has size 16532 and the array at index 1 has size 1", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mcolumns\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'V'\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minsert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Gene Symbol'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mY\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumn_stack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvector\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mcolumn_stack\u001b[0;34m(*args, **kwargs)\u001b[0m\n", - "\u001b[0;32m~/.local/lib/python3.6/site-packages/numpy/lib/shape_base.py\u001b[0m in \u001b[0;36mcolumn_stack\u001b[0;34m(tup)\u001b[0m\n\u001b[1;32m 639\u001b[0m \u001b[0marr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msubok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mndmin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mT\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 640\u001b[0m \u001b[0marrays\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 641\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_nx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconcatenate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marrays\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 642\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 643\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mconcatenate\u001b[0;34m(*args, **kwargs)\u001b[0m\n", - "\u001b[0;31mValueError\u001b[0m: all the input array dimensions for the concatenation axis must match exactly, but along dimension 0, the array at index 0 has size 16532 and the array at index 1 has size 1" - ] - } - ], + "outputs": [], "source": [ - "vector = [x[2] for x in df]\n", - "vector.insert(0, df[0].rownames)\n", - "columns = ['V' + str(x+1) for x in range(len(df))]\n", - "columns.insert(0, 'Gene Symbol')\n", - "Y = pd.DataFrame(np.column_stack(vector), columns=columns)" + "#applying antilog\n", + "vector_exp = np.exp2(vector)" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ - "df = readRDS('./data/BRCA_rna.rds')\n", - "with localconverter(robjects.default_converter + pandas2ri.converter):\n", - " brcapd = robjects.conversion.rpy2py(df)" + "dfcellines_exp = pd.DataFrame(vector_exp, columns = df[0].colnames)" ] }, { "cell_type": "code", - 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ZSCAN5B3.008.000.002.004.001.005.004.004.001.00...10.000.001.003.001.002.003.0013.000.003.00
ZSWIM11252.00933.00389.00692.00654.00618.00426.00728.00659.001115.00...667.00325.00753.00822.00463.00435.00611.00578.00741.001171.00
ZSWIM21.000.000.000.000.000.000.000.000.000.00...0.000.001.000.000.000.000.002.000.000.00
ZSWIM3523.00256.0090.00162.00186.00238.00160.00157.00337.00342.00...169.00198.00153.00331.00229.00156.00186.00228.00264.00283.00
ZSWIM41420.00875.00536.001514.002144.00965.00458.00260.001659.00945.00...649.001930.00395.001649.00525.00859.001250.00580.00753.00911.00
ZSWIM51320.00209.00199.00260.00144.0092.0052.0053.00170.00480.00...337.00110.0078.00245.00102.0034.00233.00142.00137.00314.00
ZSWIM61804.00446.00559.00823.00717.00824.00189.001933.00810.001216.00...945.00295.00191.001056.00151.00232.001030.001206.00282.001465.00
ZSWIM7563.19399.31181.15474.06429.85421.25570.99895.52665.19465.27...942.87517.532444.26661.07625.95634.00927.76488.351139.18489.56
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ZZZ33425.00748.00562.001694.002072.001810.00698.00843.003188.003614.00...778.00534.00493.001835.00364.00544.001702.002019.001257.001328.00
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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "\n", + "Subject: 1240138 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Subject: 906826 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Subject: 687983 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 687983\n", + "Iter: 1 Subject: 910927\n", + "Iter: 2 Subject: 687983\n", + "Iter: 1 Subject: 906826\n", + "Iter: 1 Subject: 1240138\n", + "Iter: 2 Subject: 910927\n", + "Iter: 3 Subject: 687983\n", + "Iter: 3 Subject: 910927\n", + "Iter: 2 Subject: 906826\n", + "Iter: 4 Subject: 687983\n", + "Iter: 2 Subject: 1240138\n", + "Iter: 4 Subject: 910927\n", + "--------------------------------------------------\n", + "Subject: 1240139 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 1 Subject: 908463\n", + "Iter: 4 Subject: 908475\n", + "Iter: 4 Subject: 684681\n", + "--------------------------------------------------\n", + "Subject: 1298362 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 908463\n", + "Iter: 5 Subject: 908475\n", + "--------------------------------------------------\n", + "Subject: 1240199 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 908463\n", + "Iter: 1 Subject: 905978Iter: 4 Subject: 908463\n", + "\n", + "--------------------------------------------------\n", + "Subject: 1524418 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 4 Subject: 1240186\n", + "--------------------------------------------------\n", + "Subject: 1240187 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 909711\n", + "Iter: 1 Subject: 925342\n", + "Iter: 1 Subject: 687807\n", + "Iter: 2 Subject: 909711\n", + "Iter: 2 Subject: 687807\n", + "Iter: 3 Subject: 687807\n", + "Iter: 3 Subject: 909711\n", + "Iter: 4 Subject: 687807\n", + "Iter: 4 Subject: 909711\n", + "Iter: 2 Subject: 925342\n", + "--------------------------------------------------\n", + "Subject: 1240189 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 905957\n", + "Iter: 4 Subject: 713869\n", + "Iter: 4 Subject: 905957\n", + "Iter: 5 Subject: 713869\n", + "Iter: 5 Subject: 905957\n", + "Iter: 1 Subject: 1480364\n", + "----------------------------------------------------------------------------------------------------\n", + "Subject: 1322212 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Subject: 1480374 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 910706\n", + "Iter: 2 Subject: 1480364\n", + "Iter: 2 Subject: 910706\n", + "Iter: 3 Subject: 910706\n", + "Iter: 3 Subject: 1480364\n", + "--------------------------------------------------\n", + "Subject: 1330964 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1322212\n", + "Iter: 4 Subject: 1480364\n", + "Iter: 1 Subject: 1480374\n", + "--------------------------------------------------\n", + "Subject: 1297449 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1322212\n", + "Iter: 2 Subject: 1480374\n", + "Iter: 3 Subject: 1322212\n", + "--------------------------------------------------\n", + "Subject: 1330975 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 1480374\n", + "Iter: 1 Subject: 1330964\n", + "Iter: 1 Subject: 1297449\n", + "Iter: 4 Subject: 1480374\n", + "Iter: 1 Subject: 1330975\n", + "Iter: 2 Subject: 1330964\n", + "--------------------------------------------------\n", + "Subject: 907273 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1297449\n", + "Iter: 2 Subject: 1330975\n", + "Iter: 3 Subject: 1330964\n", + "Iter: 3 Subject: 1297449\n", + "Iter: 4 Subject: 1297449\n", + "Iter: 4 Subject: 1330964\n", + "Iter: 3 Subject: 1330975\n", + "--------------------------------------------------\n", + "Subject: 1298353 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 687787 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 1330975\n", + "Iter: 1 Subject: 907273\n", + "--------------------------------------------------\n", + "Subject: 1479991 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 907273\n", + "Iter: 3 Subject: 907273\n", + "Iter: 1 Subject: 687787\n", + "Iter: 1 Subject: 1298353\n", + "Iter: 4 Subject: 907273\n", + "Iter: 1 Subject: 1479991\n", + "--------------------------------------------------\n", + "Subject: 1298355 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1298353\n", + "Iter: 2 Subject: 1479991\n", + "Iter: 2 Subject: 687787\n", + "Iter: 3 Subject: 1298353\n", + "Iter: 3 Subject: 1479991\n", + "Iter: 3 Subject: 687787\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 1 Subject: 1298355\n", + "Iter: 4 Subject: 1298353\n", + "Iter: 4 Subject: 687787\n", + "--------------------------------------------------\n", + "Subject: 1503364 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 1479991\n", + "Iter: 5 Subject: 1298353\n", + "Iter: 2 Subject: 1298355\n", + "Iter: 5 Subject: 1479991\n", + "--------------------------------------------------\n", + "Subject: 724839 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 1298355\n", + "--------------------------------------------------\n", + "Subject: 1298357 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 1298355\n", + "--------------------------------------------------\n", + "Subject: 1240144 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1503364\n", + "Iter: 2 Subject: 1503364\n", + "Iter: 1 Subject: 1298357\n", + "Iter: 1 Subject: 724839\n", + "Iter: 3 Subject: 1503364\n", + "Iter: 4 Subject: 1503364\n", + "Iter: 2 Subject: 1298357\n", + "Iter: 2 Subject: 724839\n", + "--------------------------------------------------\n", + "Subject: 1331026 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 1298357\n", + "Iter: 3 Subject: 724839\n", + "--------------------------------------------------\n", + "Subject: 1331025 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 1298357\n", + "Iter: 5 Subject: 1298357Iter: 1 Subject: 1240144\n", + "\n", + "--------------------------------------------------\n", + "Subject: 1290767 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1298150\n", + "Iter: 1 Subject: 1240193\n", + "Iter: 3 Subject: 1298150\n", + "Iter: 4 Subject: 1298150\n", + "Iter: 2 Subject: 1240193\n", + "--------------------------------------------------\n", + "Subject: 907791 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 1240193Iter: 1 Subject: 1240125\n", + "\n", + "Iter: 1 Subject: 1330950\n", + "Iter: 4 Subject: 1240193\n", + "Iter: 5 Subject: 1240193\n", + "Iter: 2 Subject: 1240125\n", + "--------------------------------------------------\n", + "Subject: 908483 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 949094 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 924102\n", + "Iter: 4 Subject: 924102\n", + "--------------------------------------------------\n", + "Subject: 1290768 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 949094\n", + "Iter: 1 Subject: 1327768\n", + "Iter: 1 Subject: 910951\n", + "Iter: 2 Subject: 949094\n", + "Iter: 2 Subject: 910951\n", + "Iter: 3 Subject: 949094Iter: 1 Subject: 1290768\n", + "\n", + "Iter: 2 Subject: 1327768\n", + "Iter: 3 Subject: 910951\n", + "--------------------------------------------------\n", + "Subject: 1290771 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1290771\n", + "Iter: 2 Subject: 906828\n", + "Iter: 3 Subject: 1290771\n", + "Iter: 3 Subject: 906828\n", + "Iter: 4 Subject: 1290771\n", + "Iter: 4 Subject: 906828\n", + "--------------------------------------------------\n", + "Subject: 687985 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 749713 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1299067\n", + "Iter: 1 Subject: 909753\n", + "Iter: 2 Subject: 1299067\n", + "Iter: 1 Subject: 687985\n", + "Iter: 1 Subject: 749713\n", + "Iter: 2 Subject: 909753\n", + "Iter: 3 Subject: 1299067\n", + "Iter: 2 Subject: 687985\n", + "Iter: 3 Subject: 909753\n", + "Iter: 2 Subject: 749713\n", + "Iter: 4 Subject: 1299067\n", + "Iter: 3 Subject: 687985\n", + "Iter: 4 Subject: 909753\n", + "--------------------------------------------------\n", + "Subject: 1479988 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 908152 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 749713\n", + "--------------------------------------------------\n", + "Subject: 1330994 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 749713\n", + "Iter: 1 Subject: 1479988\n", + "Iter: 5 Subject: 749713\n", + "Iter: 1 Subject: 908152\n", + "--------------------------------------------------\n", + "Subject: 1331034 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 908152\n", + "Iter: 2 Subject: 1479988\n", + "Iter: 3 Subject: 908152\n", + "Iter: 1 Subject: 1330994\n", + "Iter: 3 Subject: 1479988\n", + "Iter: 4 Subject: 908152\n", + "Iter: 1 Subject: 1331034\n", + "--------------------------------------------------\n", + "Subject: 1303897 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1330994\n", + "Iter: 4 Subject: 1479988\n", + "--------------------------------------------------\n", + "Subject: 1298160 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 1330994\n", + "Iter: 2 Subject: 1331034\n", + "--------------------------------------------------\n", + "Subject: 1503371 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1303897\n", + "Iter: 3 Subject: 1331034\n", + "Iter: 4 Subject: 1331034\n", + "Iter: 1 Subject: 1503371\n", + "Iter: 2 Subject: 1303897\n", + "--------------------------------------------------\n", + "Subject: 909769 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 1303897\n", + "Iter: 2 Subject: 1503371\n", + "--------------------------------------------------\n", + "Subject: 925345 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 1503371\n", + "Iter: 1 Subject: 909769\n", + "Iter: 4 Subject: 1503371Iter: 1 Subject: 1298160\n", + "\n", + "--------------------------------------------------\n", + "Subject: 909717 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 909769\n", + "Iter: 3 Subject: 909769\n", + "--------------------------------------------------\n", + "Subject: 908143 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 925345\n", + "Iter: 2 Subject: 1298160\n", + "Iter: 1 Subject: 909717\n", + "Iter: 2 Subject: 925345\n", + "Iter: 3 Subject: 1298160\n", + "Iter: 2 Subject: 909717\n", + "Iter: 3 Subject: 925345\n", + "Iter: 1 Subject: 908143\n", + "Iter: 4 Subject: 1298160\n", + "Iter: 3 Subject: 909717\n", + "Iter: 4 Subject: 925345\n", + "Iter: 5 Subject: 1298160\n", + "--------------------------------------------------\n", + "Subject: 905989 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 1509073 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 908143\n", + "--------------------------------------------------\n", + "Subject: 924100 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 753545 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 5 Subject: 905989\n", + "Iter: 4 Subject: 1509073\n", + "--------------------------------------------------\n", + "Subject: 1479987 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 687600 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 753583\n", + "Iter: 1 Subject: 687600\n", + "Iter: 2 Subject: 753583\n", + "Iter: 3 Subject: 753583\n", + "Iter: 2 Subject: 687600\n", + "Iter: 4 Subject: 753583\n", + "Iter: 1 Subject: 1479987\n", + "Iter: 3 Subject: 687600\n", + "Iter: 4 Subject: 687600\n", + "Iter: 5 Subject: 753583\n", + "Iter: 1 Subject: 753545\n", + "--------------------------------------------------\n", + "Subject: 909781 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 688021 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 2 Subject: 1479987\n", + "Iter: 2 Subject: 753545\n", + "Iter: 3 Subject: 1479987\n", + "Iter: 1 Subject: 688021\n", + "Iter: 4 Subject: 1479987\n", + "Iter: 1 Subject: 909781\n", + "Iter: 3 Subject: 753545\n", + "Iter: 5 Subject: 1479987Iter: 2 Subject: 688021\n", + "\n", + "Iter: 4 Subject: 753545\n", + "--------------------------------------------------\n", + "Subject: 753577 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 909781\n", + "Iter: 3 Subject: 688021\n", + "Iter: 5 Subject: 753545\n", + "--------------------------------------------------\n", + "Subject: 907312 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 908130\n", + "Iter: 2 Subject: 722046\n", + "Iter: 2 Subject: 908130\n", + "Iter: 1 Subject: 946377\n", + "Iter: 1 Subject: 687448\n", + "Iter: 3 Subject: 908130\n", + "Iter: 2 Subject: 946377\n", + "Iter: 3 Subject: 722046\n", + "Iter: 4 Subject: 908130\n", + "Iter: 3 Subject: 946377\n", + "Iter: 4 Subject: 722046\n", + "--------------------------------------------------\n", + "Subject: 1298154 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 687448\n", + "Iter: 4 Subject: 946377\n", + "--------------------------------------------------\n", + "Subject: 924238 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 1298223 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 687448\n", + "Iter: 4 Subject: 687448\n", + "Iter: 1 Subject: 1298154\n", + "Iter: 5 Subject: 687448\n", + "Iter: 1 Subject: 1298223\n", + "--------------------------------------------------\n", + "Subject: 905941 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1298154\n", + "Iter: 2 Subject: 1298223\n", + "Iter: 3 Subject: 1298154\n", + "Iter: 3 Subject: 1298223\n", + "Iter: 4 Subject: 1298154\n", + "--------------------------------------------------\n", + "Subject: 1240218 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 1298223\n", + "Iter: 1 Subject: 905941\n", + "Iter: 1 Subject: 924238\n", + "--------------------------------------------------\n", + "Subject: 1299062 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 905941\n", + "Iter: 3 Subject: 905941\n", + "Iter: 2 Subject: 924238\n", + "Iter: 1 Subject: 1299062\n", + "--------------------------------------------------\n", + "Subject: 909976.1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1299062\n", + "Iter: 1 Subject: 1240218\n", + "Iter: 3 Subject: 924238\n", + "Iter: 3 Subject: 1299062\n", + "Iter: 4 Subject: 1299062\n", + "Iter: 1 Subject: 909976.1\n", + "Iter: 4 Subject: 924238\n", + "--------------------------------------------------\n", + "Subject: 908458 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1240218\n", + "--------------------------------------------------\n", + "Subject: 753584 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 909976.1\n", + "Iter: 3 Subject: 1240218\n", + "Iter: 3 Subject: 909976.1\n", + "Iter: 4 Subject: 1240218\n", + "Iter: 1 Subject: 908458\n", + "Iter: 1 Subject: 753584\n", + "Iter: 4 Subject: 909976.1\n", + "Iter: 2 Subject: 753584\n", + "Iter: 5 Subject: 1240218\n", + "--------------------------------------------------\n", + "Subject: 907044 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 908458\n", + "--------------------------------------------------\n", + "Subject: 998184 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 753584\n", + "Iter: 3 Subject: 908458\n", + "Iter: 4 Subject: 753584\n", + "Iter: 1 Subject: 907044\n", + "--------------------------------------------------\n", + "Subject: 908145 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 908458\n", + "--------------------------------------------------\n", + "Subject: 1659787 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 907044\n", + "Iter: 3 Subject: 907044\n", + "Iter: 1 Subject: 908145\n", + "Iter: 4 Subject: 907044\n", + "Iter: 1 Subject: 998184\n", + "--------------------------------------------------\n", + "Subject: 1298157 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1659787\n", + "Iter: 2 Subject: 908145\n", + "Iter: 2 Subject: 1659787\n", + "Iter: 2 Subject: 998184\n", + "Iter: 3 Subject: 908145\n", + "Iter: 3 Subject: 998184\n", + "Iter: 3 Subject: 1659787\n", + "Iter: 1 Subject: 1298157\n", + "Iter: 4 Subject: 908145\n", + "Iter: 4 Subject: 998184\n", + "Iter: 4 Subject: 1659787\n", + "--------------------------------------------------\n", + "Subject: 1480372 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 2 Subject: 1298157\n", + "--------------------------------------------------\n", + "Subject: 1298533 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 930299 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 1298157\n", + "Iter: 4 Subject: 1298157\n", + "Iter: 1 Subject: 1480372\n", + "Iter: 1 Subject: 1298533\n", + "--------------------------------------------------\n", + "Subject: 905954.1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1298533\n", + "Iter: 2 Subject: 1480372\n", + "Iter: 1 Subject: 930299\n", + "Iter: 3 Subject: 1480372\n", + "Iter: 3 Subject: 1298533\n", + "Iter: 4 Subject: 1480372\n", + "Iter: 4 Subject: 1298533\n", + "Iter: 2 Subject: 930299\n", + "Iter: 3 Subject: 930299\n", + "Iter: 4 Subject: 930299\n", + "Iter: 1 Subject: 905954.1\n", + "Iter: 2 Subject: 905954.1\n", + "Iter: 3 Subject: 905954.1\n", + "Iter: 4 Subject: 905954.1\n", + "_____________________________________________________________________\n", + "Finish nuSvm\n", + "Finish mixer\n", + "Get Medias\n", + "Creating population (Count: 1000)...\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", + "Creating Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Creating Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 5 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 4 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", + "Creating Subject: 6 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Creating Subject: 7 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 8 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 9 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 11 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 10 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 12 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 13 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 14 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 15 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 16 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 17 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 18 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 19 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 20 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 21 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 22 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 23 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 24 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 25 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 26 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 27 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 28 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 29 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 30 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 31 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 32 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 33 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 34 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 36 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", + "Creating Subject: 37 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Creating Subject: 35 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 38 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 39 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 40 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 41 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 42 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 43 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 44 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 45 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 46 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 47 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 48 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 49 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 922 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 923 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 924 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 925 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 926 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 927 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 928 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 929 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 930 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 931 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 932 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 933 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 934 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 935 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "--------------------------------------------------Creating Subject: 936 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "--------------------------------------------------\n", + "Creating Subject: 937 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 938 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 939 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 940 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--------------------------------------------------\n", + "Creating Subject: 941 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 942 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 944 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Creating Subject: 943 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 946 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 945 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 947 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 948 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 949 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 950 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 951 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 952 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 953 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 954 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 955 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 956 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 957 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 958 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 959 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 960 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 961 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 962 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 963 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 964 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 965 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 966 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 967 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 968 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 969 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 970 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 971 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 972 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 973 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 974 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 975 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 976 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 977 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 978 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 979 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 980 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 981 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 982 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 983 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 984 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 985 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 986 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 987 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 988 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 989 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--------------------------------------------------\n", + "Creating Subject: 990 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 991 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 992 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 993 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 994 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 995 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 996 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 997 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 998 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 999 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Finish creating population\n", + "Finish\n", + "Running mixer with porpulationBased (Count: 1001)\n", + "Normalizing data\n", + "Processing...\n", + "----------------------------------------------------------------------------------------------------\n", + "Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1\n", + "Iter: 1 Subject: 3\n", + "Iter: 1 Subject: 2\n", + "Iter: 1 Subject: 0\n", + "Iter: 2 Subject: 1\n", + "Iter: 2 Subject: 3\n", + "Iter: 2 Subject: 0\n", + "Iter: 2 Subject: 2\n", + "Iter: 3 Subject: 1\n", + "Iter: 3 Subject: 3\n", + "Iter: 3 Subject: 0\n", + "Iter: 3 Subject: 2\n", + "Iter: 4 Subject: 3\n", + "Iter: 4 Subject: 1\n", + "--------------------------------------------------\n", + "Subject: 4 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 5 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 0\n", + "Iter: 5 Subject: 1\n", + "--------------------------------------------------\n", + "Subject: 6 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 7 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 5\n", + "Iter: 2 Subject: 5\n", + "Iter: 1 Subject: 4\n", + "Iter: 1 Subject: 6\n", + "Iter: 3 Subject: 5\n", + "Iter: 1 Subject: 7\n", + "--------------------------------------------------\n", + "Subject: 8 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 4\n", + "Iter: 2 Subject: 6\n", + "Iter: 3 Subject: 4\n", + "Iter: 3 Subject: 6\n", + "Iter: 4 Subject: 4\n", + "Iter: 2 Subject: 7\n", + "--------------------------------------------------\n", + "Subject: 9 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 8\n", + "Iter: 4 Subject: 6\n", + "Iter: 3 Subject: 7\n", + "--------------------------------------------------\n", + "Subject: 10 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 7\n", + "Iter: 2 Subject: 8\n", + "Iter: 5 Subject: 7\n", + "Iter: 1 Subject: 9\n", + "Iter: 3 Subject: 8\n", + "--------------------------------------------------\n", + "Subject: 11 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 10\n", + "Iter: 2 Subject: 9\n", + "Iter: 4 Subject: 8\n", + "--------------------------------------------------\n", + "Subject: 12 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 9\n", + "Iter: 2 Subject: 10\n", + "Iter: 1 Subject: 11\n", + "--------------------------------------------------\n", + "Subject: 13 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 11\n", + "Iter: 3 Subject: 10\n", + "Iter: 1 Subject: 12\n", + "Iter: 4 Subject: 10\n", + "Iter: 3 Subject: 11\n", + "Iter: 1 Subject: 13\n", + "--------------------------------------------------\n", + "Subject: 14 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 15 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 12\n", + "Iter: 2 Subject: 13\n", + "Iter: 3 Subject: 12\n", + "Iter: 1 Subject: 14\n", + "Iter: 3 Subject: 13\n", + "Iter: 4 Subject: 12\n", + "Iter: 1 Subject: 15\n", + "--------------------------------------------------\n", + "Subject: 16 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 14\n", + "Iter: 5 Subject: 12\n", + "--------------------------------------------------\n", + "Subject: 17 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 14\n", + "Iter: 2 Subject: 15\n", + "Iter: 1 Subject: 16\n", + "Iter: 4 Subject: 14\n", + "Iter: 3 Subject: 15\n", + "Iter: 2 Subject: 16\n", + "Iter: 1 Subject: 17\n", + "Iter: 5 Subject: 14\n", + "--------------------------------------------------\n", + "Subject: 18 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 15\n", + "Iter: 3 Subject: 16\n", + "Iter: 2 Subject: 17\n", + "--------------------------------------------------\n", + "Subject: 19 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 5 Subject: 15\n", + "Iter: 3 Subject: 17\n", + "--------------------------------------------------\n", + "Subject: 20 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 18\n", + "--------------------------------------------------\n", + "Subject: 21 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 19\n", + "Iter: 2 Subject: 18\n", + "Iter: 2 Subject: 19\n", + "Iter: 1 Subject: 20\n", + "Iter: 3 Subject: 18\n", + "Iter: 1 Subject: 21Iter: 3 Subject: 19\n", + "\n", + "Iter: 2 Subject: 20\n", + "Iter: 4 Subject: 18\n", + "Iter: 4 Subject: 19\n", + "Iter: 5 Subject: 18\n", + "Iter: 3 Subject: 20\n", + "--------------------------------------------------\n", + "Subject: 22 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 21\n", + "--------------------------------------------------\n", + "Subject: 23 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 24 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 21\n", + "Iter: 4 Subject: 21\n", + "Iter: 1 Subject: 22\n", + "Iter: 1 Subject: 24\n", + "--------------------------------------------------\n", + "Subject: 25 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 23\n", + "Iter: 2 Subject: 22\n", + "Iter: 2 Subject: 24\n", + "Iter: 2 Subject: 23\n", + "Iter: 3 Subject: 22\n", + "Iter: 3 Subject: 24\n", + "Iter: 1 Subject: 25\n", + "Iter: 3 Subject: 23\n", + "--------------------------------------------------\n", + "Subject: 26 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 4 Subject: 24\n", + "Iter: 4 Subject: 23\n", + "--------------------------------------------------Iter: 2 Subject: 25\n", + "\n", + "Subject: 27 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 28 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 25\n", + "Iter: 1 Subject: 26\n", + "Iter: 1 Subject: 28\n", + "Iter: 1 Subject: 27\n", + "Iter: 4 Subject: 25\n", + "Iter: 2 Subject: 26\n", + "--------------------------------------------------\n", + "Subject: 29 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 998 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 995\n", + "Iter: 4 Subject: 996\n", + "--------------------------------------------------\n", + "Subject: 999 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 997\n", + "Iter: 1 Subject: 998\n", + "Iter: 2 Subject: 997\n", + "Iter: 1 Subject: 999\n", + "Iter: 3 Subject: 997\n", + "Iter: 2 Subject: 998\n", + "Iter: 4 Subject: 997\n", + "Iter: 2 Subject: 999\n", + "Iter: 3 Subject: 998\n", + "Iter: 3 Subject: 999\n", + "Iter: 4 Subject: 998\n", + "_____________________________________________________________________\n", + "Finish nuSvm\n", + "Finish\n" + ] } ], "source": [ - "df1" + "# Run Mixer Function\n", + "if __name__ == '__main__':\n", + " result2, pValues2 = Mixture.Mixture(X, Y , cores, iters, output)" ] } ], diff --git a/cellines.ipynb b/cellines.ipynb index 48e9079..8046d27 100644 --- a/cellines.ipynb +++ b/cellines.ipynb @@ -39,7 +39,8 @@ "metadata": {}, "outputs": [], "source": [ - "import Mixture" + "import Mixture\n", + "import Mixture.Utils as mut" ] }, { @@ -240,7 +241,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -249,7 +250,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -259,7 +260,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -268,7 +269,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -278,7 +279,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -287,30 +288,16 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "metadata": {}, - "outputs": [ - { - "ename": "ValueError", - "evalue": "cannot insert Gene symbol, already exists", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdfcellines_exp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minsert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Gene symbol'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m~/.local/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36minsert\u001b[0;34m(self, loc, column, value, allow_duplicates)\u001b[0m\n\u001b[1;32m 3574\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_ensure_valid_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3575\u001b[0m \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sanitize_column\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolumn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbroadcast\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3576\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minsert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mallow_duplicates\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mallow_duplicates\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3577\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3578\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0massign\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/.local/lib/python3.6/site-packages/pandas/core/internals/managers.py\u001b[0m in \u001b[0;36minsert\u001b[0;34m(self, loc, item, value, allow_duplicates)\u001b[0m\n\u001b[1;32m 1171\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mallow_duplicates\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mitem\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1172\u001b[0m \u001b[0;31m# Should this be a different kind of error??\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1173\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"cannot insert {}, already exists\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1174\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1175\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mValueError\u001b[0m: cannot insert Gene symbol, already exists" - ] - } - ], + "outputs": [], "source": [ "dfcellines_exp.insert(0, 'Gene symbol', df[2][0])" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -319,411 +306,27 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "cores = 4\n", "iters = 1000\n", - "output = 'outputCellines'" + "output = 'outputCellines_TIL10'" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ - "X = pd.read_excel('data/LM22Signature.xlsx', sheet_name = 0) " - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Gene symbol9068266879839109271240138124013990679291068812401351290812...7535849070449981849081451659787129815714803721298533930299905954.1
0TSPAN6198.366304187.230436419.444908222.419924212.198047134.7866219.748621124.63852961.522661...137.7240749.4250708.218597331.582284122.121882347.682936343.203766272.3380508.647798142.333051
1TNMD7.8060096.8576596.2484917.0514657.7690567.4110457.1018917.3347666.439167...6.9588416.7045337.8702307.2227676.1587176.2301907.3609395.7404697.3130227.131893
2DPM11332.1609073583.966033942.750905944.5417551368.936470875.5141991229.9509671181.1130021260.479567...1434.6524401392.0076831271.1882001403.5160911368.5906762824.4255901507.3277541773.950376938.2977201768.387206
3SCYL312.25071516.75926215.52186416.72230020.27317619.30500162.60333313.13216514.401152...12.96755524.65849420.37211214.50141115.42887021.49381211.71584921.75592919.25054817.154241
4C1orf11210.41565313.2919859.42583311.78119514.32410314.0749278.0660779.63609610.216540...13.24002115.43083713.9925179.17042014.07273320.88987618.9902728.4056489.38395910.821246
..................................................................
16527LINC00526110.42514539.8887768.8336268.90055712.57651147.64733637.08550218.27158817.313812...19.99887634.11457011.42672435.36113424.33169534.24644718.94109733.93833831.69368920.565258
16528KRT18P5510.0640167.9591337.39512114.04630910.6485597.9980027.42179610.9826437.812968...9.56273110.0104329.5243588.2318819.02621910.15222010.64835312.4700038.8313917.608029
16529POLRMTP18.7585759.5863559.0394748.4235719.27627410.4259899.1902637.1060778.930525...6.8387287.93511011.4266989.5420988.8104048.0417098.5081247.1975477.1247557.047236
16530UBL5P21014.544078512.999579553.808337994.814559981.590689420.167311673.943381879.015640712.913048...772.704052727.126167986.195846948.9865811037.551842644.5698771713.405686373.430458955.789824538.179233
16531TBC1D3P58.4194368.0010097.5489429.55661410.52775411.2936409.1483079.5436338.833999...10.6093169.5592659.1259358.91097810.25076810.8183689.9724269.0286779.47130210.017959
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16532 rows Ă— 1019 columns

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"execution_count": 13, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -733,17 +336,9 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "terminado\n" - ] - } - ], + "outputs": [], "source": [ "print('terminado')" ] From f7f2eb86cd3b65ace9c8986fda663b2cf4419dca Mon Sep 17 00:00:00 2001 From: MsMatias Date: Fri, 25 Oct 2019 11:02:22 -0300 Subject: [PATCH 26/52] cellines test til10 --- cellines.ipynb | 15000 ++++++++++++++++++++--------------------------- 1 file changed, 6352 insertions(+), 8648 deletions(-) diff --git a/cellines.ipynb b/cellines.ipynb index 8046d27..1db62a3 100644 --- a/cellines.ipynb +++ b/cellines.ipynb @@ -35,7 +35,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -241,7 +241,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -250,7 +250,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -260,7 +260,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -269,7 +269,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -279,7 +279,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -288,7 +288,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -297,7 +297,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -306,7 +306,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -317,7 +317,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -336,16 +336,391 @@ }, { "cell_type": "code", - 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Gene symbol9068266879839109271240138124013990679291068812401351290812...7535849070449981849081451659787129815714803721298533930299905954.1
0TSPAN6198.366304187.230436419.444908222.419924212.198047134.7866219.748621124.63852961.522661...137.7240749.4250708.218597331.582284122.121882347.682936343.203766272.3380508.647798142.333051
1TNMD7.8060096.8576596.2484917.0514657.7690567.4110457.1018917.3347666.439167...6.9588416.7045337.8702307.2227676.1587176.2301907.3609395.7404697.3130227.131893
2DPM11332.1609073583.966033942.750905944.5417551368.936470875.5141991229.9509671181.1130021260.479567...1434.6524401392.0076831271.1882001403.5160911368.5906762824.4255901507.3277541773.950376938.2977201768.387206
3SCYL312.25071516.75926215.52186416.72230020.27317619.30500162.60333313.13216514.401152...12.96755524.65849420.37211214.50141115.42887021.49381211.71584921.75592919.25054817.154241
4C1orf11210.41565313.2919859.42583311.78119514.32410314.0749278.0660779.63609610.216540...13.24002115.43083713.9925179.17042014.07273320.88987618.9902728.4056489.38395910.821246
..................................................................
16527LINC00526110.42514539.8887768.8336268.90055712.57651147.64733637.08550218.27158817.313812...19.99887634.11457011.42672435.36113424.33169534.24644718.94109733.93833831.69368920.565258
16528KRT18P5510.0640167.9591337.39512114.04630910.6485597.9980027.42179610.9826437.812968...9.56273110.0104329.5243588.2318819.02621910.15222010.64835312.4700038.8313917.608029
16529POLRMTP18.7585759.5863559.0394748.4235719.27627410.4259899.1902637.1060778.930525...6.8387287.93511011.4266989.5420988.8104048.0417098.5081247.1975477.1247557.047236
16530UBL5P21014.544078512.999579553.808337994.814559981.590689420.167311673.943381879.015640712.913048...772.704052727.126167986.195846948.9865811037.551842644.5698771713.405686373.430458955.789824538.179233
16531TBC1D3P58.4194368.0010097.5489429.55661410.52775411.2936409.1483079.5436338.833999...10.6093169.5592659.1259358.91097810.25076810.8183689.9724269.0286779.47130210.017959
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16532 rows Ă— 1019 columns

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" + ], + "text/plain": [ + " Gene symbol 906826 687983 910927 1240138 \\\n", + "0 TSPAN6 198.366304 187.230436 419.444908 222.419924 \n", + "1 TNMD 7.806009 6.857659 6.248491 7.051465 \n", + "2 DPM1 1332.160907 3583.966033 942.750905 944.541755 \n", + "3 SCYL3 12.250715 16.759262 15.521864 16.722300 \n", + "4 C1orf112 10.415653 13.291985 9.425833 11.781195 \n", + "... ... ... ... ... ... \n", + "16527 LINC00526 110.425145 39.888776 8.833626 8.900557 \n", + "16528 KRT18P55 10.064016 7.959133 7.395121 14.046309 \n", + "16529 POLRMTP1 8.758575 9.586355 9.039474 8.423571 \n", + "16530 UBL5P2 1014.544078 512.999579 553.808337 994.814559 \n", + "16531 TBC1D3P5 8.419436 8.001009 7.548942 9.556614 \n", + "\n", + " 1240139 906792 910688 1240135 1290812 ... \\\n", + "0 212.198047 134.786621 9.748621 124.638529 61.522661 ... \n", + "1 7.769056 7.411045 7.101891 7.334766 6.439167 ... \n", + "2 1368.936470 875.514199 1229.950967 1181.113002 1260.479567 ... \n", + "3 20.273176 19.305001 62.603333 13.132165 14.401152 ... \n", + "4 14.324103 14.074927 8.066077 9.636096 10.216540 ... \n", + "... ... ... ... ... ... ... \n", + "16527 12.576511 47.647336 37.085502 18.271588 17.313812 ... \n", + "16528 10.648559 7.998002 7.421796 10.982643 7.812968 ... \n", + "16529 9.276274 10.425989 9.190263 7.106077 8.930525 ... \n", + "16530 981.590689 420.167311 673.943381 879.015640 712.913048 ... \n", + "16531 10.527754 11.293640 9.148307 9.543633 8.833999 ... \n", + "\n", + " 753584 907044 998184 908145 1659787 \\\n", + "0 137.724074 9.425070 8.218597 331.582284 122.121882 \n", + "1 6.958841 6.704533 7.870230 7.222767 6.158717 \n", + "2 1434.652440 1392.007683 1271.188200 1403.516091 1368.590676 \n", + "3 12.967555 24.658494 20.372112 14.501411 15.428870 \n", + "4 13.240021 15.430837 13.992517 9.170420 14.072733 \n", + "... ... ... ... ... ... \n", + "16527 19.998876 34.114570 11.426724 35.361134 24.331695 \n", + "16528 9.562731 10.010432 9.524358 8.231881 9.026219 \n", + "16529 6.838728 7.935110 11.426698 9.542098 8.810404 \n", + "16530 772.704052 727.126167 986.195846 948.986581 1037.551842 \n", + "16531 10.609316 9.559265 9.125935 8.910978 10.250768 \n", + "\n", + " 1298157 1480372 1298533 930299 905954.1 \n", + "0 347.682936 343.203766 272.338050 8.647798 142.333051 \n", + "1 6.230190 7.360939 5.740469 7.313022 7.131893 \n", + "2 2824.425590 1507.327754 1773.950376 938.297720 1768.387206 \n", + "3 21.493812 11.715849 21.755929 19.250548 17.154241 \n", + "4 20.889876 18.990272 8.405648 9.383959 10.821246 \n", + "... ... ... ... ... ... \n", + "16527 34.246447 18.941097 33.938338 31.693689 20.565258 \n", + "16528 10.152220 10.648353 12.470003 8.831391 7.608029 \n", + "16529 8.041709 8.508124 7.197547 7.124755 7.047236 \n", + "16530 644.569877 1713.405686 373.430458 955.789824 538.179233 \n", + "16531 10.818368 9.972426 9.028677 9.471302 10.017959 \n", + "\n", + "[16532 rows x 1019 columns]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "print('terminado')" + "Y" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": { "scrolled": true, "slideshow": { @@ -361,2982 +736,2360 @@ "Normalizing data\n", "Processing...\n", "--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", - "Subject: 910927 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Subject: 687983 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", - "\n", "Subject: 1240138 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", "Subject: 906826 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Subject: 687983 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "Subject: 910927 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 687983\n", - "Iter: 1 Subject: 910927\n", - "Iter: 2 Subject: 687983\n", - "Iter: 1 Subject: 906826\n", "Iter: 1 Subject: 1240138\n", + "Iter: 1 Subject: 687983\n", + "Iter: 1 Subject: 910927Iter: 1 Subject: 906826\n", + "\n", + "Iter: 2 Subject: 1240138\n", "Iter: 2 Subject: 910927\n", - "Iter: 3 Subject: 687983\n", - "Iter: 3 Subject: 910927\n", "Iter: 2 Subject: 906826\n", - "Iter: 4 Subject: 687983\n", - "Iter: 2 Subject: 1240138\n", - "Iter: 4 Subject: 910927\n", + "Iter: 2 Subject: 687983\n", + "Iter: 3 Subject: 1240138\n", + "Iter: 3 Subject: 910927\n", "--------------------------------------------------\n", "Subject: 1240139 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 5 Subject: 687983\n", - "Iter: 3 Subject: 906826\n", + "Iter: 3 Subject: 687983\n", "--------------------------------------------------\n", "Subject: 906792 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 1240138\n", - "Iter: 4 Subject: 906826\n", - "Iter: 4 Subject: 1240138\n", - "Iter: 5 Subject: 906826\n", "--------------------------------------------------\n", "Subject: 910688 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 4 Subject: 687983\n", "Iter: 1 Subject: 1240139\n", + "Iter: 1 Subject: 906792\n", + "Iter: 1 Subject: 910688\n", "--------------------------------------------------\n", "Subject: 1240135 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 2 Subject: 906792\n", "Iter: 2 Subject: 1240139\n", + "Iter: 2 Subject: 910688Iter: 1 Subject: 1240135\n", + "\n", "Iter: 3 Subject: 1240139\n", - "Iter: 1 Subject: 910688\n", - "Iter: 4 Subject: 1240139\n", - "Iter: 1 Subject: 1240135\n", - "Iter: 2 Subject: 910688\n", + "Iter: 3 Subject: 906792\n", + "Iter: 3 Subject: 910688Iter: 2 Subject: 1240135\n", "--------------------------------------------------\n", + "\n", "Subject: 1290812 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 906792\n", - "Iter: 2 Subject: 1240135\n", - "Iter: 3 Subject: 910688\n", - "Iter: 3 Subject: 1240135\n", - "Iter: 4 Subject: 910688\n", - "Iter: 4 Subject: 1240135\n", "--------------------------------------------------\n", "Subject: 907045 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 906792\n", - "--------------------------------------------------\n", + "--------------------------------------------------Iter: 4 Subject: 910688\n", + "\n", "Subject: 906861 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 1290812\n", - "Iter: 3 Subject: 906792\n", + "Iter: 1 Subject: 907045\n", "--------------------------------------------------\n", "Subject: 906830 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 1240137\n", - "Iter: 2 Subject: 753552\n", "Iter: 2 Subject: 909750\n", - "Iter: 3 Subject: 753552\n", - "Iter: 3 Subject: 1240137\n", - "Iter: 3 Subject: 909750\n", - "Iter: 4 Subject: 753552\n", - "Iter: 4 Subject: 1240137\n", - "Iter: 5 Subject: 753552\n", - "Iter: 4 Subject: 909750\n", - "Iter: 1 Subject: 907065\n", - "Iter: 5 Subject: 1240137\n", "--------------------------------------------------\n", "Subject: 925338 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 1 Subject: 753552\n", + "Iter: 1 Subject: 925338\n", + "Iter: 2 Subject: 1240137\n", + "Iter: 1 Subject: 907065\n", + "Iter: 2 Subject: 753552\n", + "Iter: 2 Subject: 925338\n", "--------------------------------------------------\n", "Subject: 1290809 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 907172\n", - "Iter: 1 Subject: 1240134\n", - "Iter: 2 Subject: 949158\n", - "Iter: 2 Subject: 907172\n", - "Iter: 3 Subject: 907172\n", - "Iter: 2 Subject: 1240134\n", + "Iter: 3 Subject: 1240134Iter: 2 Subject: 907172\n", + "\n", "--------------------------------------------------\n", "Subject: 905947 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 949158\n", - "Iter: 3 Subject: 1240134\n", - "Iter: 4 Subject: 1240134\n", - "Iter: 4 Subject: 949158\n", "--------------------------------------------------\n", "Subject: 1298134 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 905947\n", - "Iter: 5 Subject: 949158\n", - "--------------------------------------------------\n", - "Subject: 907058 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "Iter: 1 Subject: 687452\n", - "Iter: 2 Subject: 905947\n", - "Iter: 1 Subject: 1298134\n", - "Iter: 3 Subject: 905947\n", - "Iter: 4 Subject: 905947\n", - "Iter: 2 Subject: 1298134\n", - "Iter: 5 Subject: 905947\n", - "Iter: 2 Subject: 687452\n", "--------------------------------------------------\n", - "Subject: 1290814 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Subject: 907058 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 1298134\n", + "Iter: 1 Subject: 905947\n", + "Iter: 1 Subject: 1298134Iter: 2 Subject: 687452\n", + "\n", "Iter: 1 Subject: 907058\n", - "Iter: 4 Subject: 1298134\n", - "Iter: 3 Subject: 687452\n", + "--------------------------------------------------Iter: 2 Subject: 905947--------------------------------------------------\n", + "Subject: 1290814 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "\n", "Subject: 905975 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 687452\n", - "Iter: 5 Subject: 687452\n", - "Iter: 1 Subject: 1290814\n", + "Iter: 2 Subject: 907058\n", "--------------------------------------------------\n", "Subject: 905939 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 907058\n", - "Iter: 2 Subject: 1290814\n", - "Iter: 3 Subject: 1290814\n", + "Iter: 1 Subject: 1290814\n", "Iter: 1 Subject: 905975\n", - "Iter: 3 Subject: 907058\n", "--------------------------------------------------\n", "Subject: 910704 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Iter: 1 Subject: 905939\n", - "Iter: 4 Subject: 907058\n", - "--------------------------------------------------\n", + "Iter: 2 Subject: 905975\n", + "Iter: 2 Subject: 1290814\n", + "Iter: 1 Subject: 910704\n", + "Iter: 2 Subject: 905939--------------------------------------------------\n", "Subject: 908460 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 907173\n", - "Iter: 4 Subject: 905936\n", - "Iter: 4 Subject: 907173\n", - "Iter: 1 Subject: 907320\n", + "Iter: 2 Subject: 1303896Iter: 2 Subject: 905936\n", + "\n", + "Iter: 2 Subject: 907320\n", "--------------------------------------------------\n", "Subject: 905974 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 5 Subject: 905936\n", + "Iter: 1 Subject: 688058\n", + "Iter: 3 Subject: 1303896\n", "--------------------------------------------------\n", "Subject: 907060 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 909703\n", - "Iter: 2 Subject: 906746\n", "Iter: 2 Subject: 724855\n", + "Iter: 2 Subject: 906746\n", + "Iter: 3 Subject: 909703\n", + "Iter: 1 Subject: 724831\n", "--------------------------------------------------\n", "Subject: 906813 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 724855\n", - "Iter: 3 Subject: 906746\n", - "Iter: 1 Subject: 724831\n", - "Iter: 4 Subject: 724855\n", "--------------------------------------------------\n", "Subject: 946359 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 906746\n", + "Iter: 3 Subject: 906746\n", "Iter: 2 Subject: 724831\n", + "Iter: 1 Subject: 906813\n", + "Iter: 3 Subject: 724831\n", "--------------------------------------------------\n", "Subject: 909707 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 724831\n", - "Iter: 4 Subject: 724831\n", "Iter: 1 Subject: 946359\n", - "--------------------------------------------------\n", + "Iter: 2 Subject: 906813--------------------------------------------------\n", "Subject: 910399 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 946359\n", + "\n", "Iter: 1 Subject: 909707\n", - "Iter: 3 Subject: 946359\n", - "Iter: 1 Subject: 910399\n", - "Iter: 1 Subject: 906813\n", - "Iter: 4 Subject: 946359\n", - "Iter: 2 Subject: 909707\n", - "Iter: 2 Subject: 910399\n", + "Iter: 2 Subject: 946359\n", "--------------------------------------------------\n", "Subject: 687816 Nro. 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Processor: <_MainProcess(MainProcess, started)>Iter: 1 Subject: 724866\n", + "\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 724866\n", "Iter: 1 Subject: 687995\n", "Iter: 1 Subject: 910548\n", - "Iter: 1 Subject: 910549\n", - "Iter: 2 Subject: 724866\n", - "Iter: 2 Subject: 910549\n", + "Iter: 1 Subject: 910549Iter: 2 Subject: 724866\n", + "\n", "Iter: 2 Subject: 910548\n", - "Iter: 3 Subject: 724866\n", "Iter: 2 Subject: 687995\n", - "Iter: 3 Subject: 910549\n", + "Iter: 3 Subject: 724866\n", "Iter: 3 Subject: 910548\n", - "Iter: 4 Subject: 724866\n", - "Iter: 3 Subject: 687995\n", - "Iter: 4 Subject: 910549\n", + "Iter: 2 Subject: 910549\n", "--------------------------------------------------\n", "Subject: 905991 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 2 Subject: 905964\n", + "Iter: 3 Subject: 971773Iter: 1 Subject: 925346\n", + "\n", "Iter: 2 Subject: 925346\n", "--------------------------------------------------\n", "Subject: 909257 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 5 Subject: 971773\n", - "Iter: 3 Subject: 925346\n", "--------------------------------------------------\n", - "Subject: 908476 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Subject: 908476 Nro. Processor: <_MainProcess(MainProcess, started)>Iter: 1 Subject: 1240205\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Subject: 908467 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 1 Subject: 910687\n", "Iter: 2 Subject: 910925\n", - "Iter: 3 Subject: 910925\n", - "Iter: 2 Subject: 910687\n", - "--------------------------------------------------\n", + "Iter: 1 Subject: 753535--------------------------------------------------\n", + "\n", "Subject: 753624 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 753535\n", "Iter: 1 Subject: 910700\n", - "Iter: 3 Subject: 910687\n", "Iter: 2 Subject: 753535\n", - "Iter: 4 Subject: 910687\n", + "Iter: 1 Subject: 753624Iter: 2 Subject: 910687\n", + "\n", "Iter: 2 Subject: 910700\n", "--------------------------------------------------\n", "Subject: 910703 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Iter: 3 Subject: 753535\n", - "Iter: 1 Subject: 753624\n", - "Iter: 3 Subject: 910700\n", - "Iter: 4 Subject: 910700\n", - "Iter: 4 Subject: 753535\n", - "Iter: 5 Subject: 910700\n", - "Iter: 5 Subject: 753535\n", "--------------------------------------------------\n", "Subject: 906821 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -3485,3507 +3208,2784 @@ "Subject: 924105 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Iter: 1 Subject: 910703\n", - "Iter: 3 Subject: 753624\n", + "Iter: 3 Subject: 753624Iter: 1 Subject: 906821\n", + "\n", + "Iter: 1 Subject: 924105\n", "Iter: 2 Subject: 910703\n", - "Iter: 4 Subject: 753624\n", - "Iter: 1 Subject: 906821\n", - "Iter: 3 Subject: 910703\n", "--------------------------------------------------\n", "Subject: 906837 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 4 Subject: 910703\n", - "Iter: 1 Subject: 924105Iter: 2 Subject: 906821\n", + "--------------------------------------------------Iter: 2 Subject: 906821\n", "\n", "--------------------------------------------------\n", "Subject: 906832 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 4 Subject: 909713\n", "Iter: 2 Subject: 909730\n", - "Iter: 3 Subject: 907282\n", - "Iter: 1 Subject: 909713\n", - "Iter: 4 Subject: 907282\n", - "Iter: 5 Subject: 907282\n", - "Iter: 3 Subject: 909730\n", - "Iter: 1 Subject: 907062\n", - "--------------------------------------------------\n", + "Iter: 1 Subject: 907282\n", + "--------------------------------------------------Iter: 1 Subject: 907062\n", + "\n", "Subject: 907059 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Iter: 4 Subject: 909730\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Subject: 907064 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 684057\n", "Iter: 1 Subject: 924111\n", - "Iter: 3 Subject: 906856\n", "--------------------------------------------------\n", "Subject: 924151 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 1290908 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 906847\n", + "Iter: 1 Subject: 1290908\n", + "Iter: 1 Subject: 1240143\n", "Iter: 1 Subject: 905948\n", - "Iter: 2 Subject: 906847\n", + "Iter: 1 Subject: 906847\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Iter: 2 Subject: 1290908\n", - "Iter: 3 Subject: 906847\n", - "--------------------------------------------------\n", - "Subject: 753533 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "Iter: 2 Subject: 1240143\n", "Iter: 2 Subject: 905948\n", - "Iter: 1 Subject: 1240143\n", - "Iter: 3 Subject: 905948\n", + "Iter: 2 Subject: 906847\n", "Iter: 3 Subject: 1290908\n", - "Iter: 4 Subject: 905948\n", + "Iter: 3 Subject: 1240143\n", + "Iter: 3 Subject: 905948\n", "--------------------------------------------------\n", - "Subject: 905952 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 1 Subject: 753533\n", + "Iter: 1 Subject: 905952\n", + "Iter: 1 Subject: 753549\n", + "Iter: 2 Subject: 753533\n", "Iter: 2 Subject: 905952\n", + "Iter: 1 Subject: 949161\n", + "Iter: 2 Subject: 753549\n", + "Iter: 3 Subject: 753533\n", + "Iter: 2 Subject: 949161\n", "--------------------------------------------------\n", "Subject: 1503370 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 905952\n", - "Iter: 1 Subject: 753549\n", - "Iter: 4 Subject: 905952\n", "--------------------------------------------------\n", "Subject: 907069 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Subject: 1240151 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 949161\n", - "Iter: 2 Subject: 749711\n", - "Iter: 1 Subject: 749715\n", - "Iter: 3 Subject: 749711\n", - "Iter: 4 Subject: 949161\n", - "Iter: 2 Subject: 749715\n", - "Iter: 1 Subject: 1240151\n", - "Iter: 4 Subject: 749711\n", - "Iter: 3 Subject: 749715\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "--------------------------------------------------\n", - "Subject: 749709 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 5 Subject: 949161\n", + "\n", "--------------------------------------------------\n", "Subject: 753556 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 1240151\n", - "Iter: 4 Subject: 749715\n", - "--------------------------------------------------\n", + "Iter: 3 Subject: 907069\n", + "Iter: 1 Subject: 1240151\n", + "Iter: 1 Subject: 749709\n", + "Iter: 1 Subject: 753556--------------------------------------------------\n", + "\n", "Subject: 906794 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 2 Subject: 1240151\n", + "Iter: 2 Subject: 753556\n", + "Iter: 2 Subject: 749709Iter: 1 Subject: 906794\n", + "\n", "Iter: 3 Subject: 1240151\n", - "Iter: 1 Subject: 749709\n", - "Iter: 4 Subject: 1240151\n", - "Iter: 2 Subject: 749709\n", - "Iter: 5 Subject: 1240151\n", - "Iter: 1 Subject: 906794\n", "--------------------------------------------------\n", "Subject: 753536 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 749709\n", - "Iter: 4 Subject: 749709\n", + "Iter: 2 Subject: 906794\n", "--------------------------------------------------\n", "Subject: 910691 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Subject: 753551 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 906794\n", - "Iter: 1 Subject: 753556\n", "Iter: 3 Subject: 906794\n", "Iter: 1 Subject: 753536\n", - "Iter: 4 Subject: 906794\n", "Iter: 1 Subject: 910691\n", - "Iter: 2 Subject: 753556\n", - "--------------------------------------------------\n", - "Subject: 753551 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Iter: 2 Subject: 910904\n", - "Iter: 1 Subject: 909759\n", - "Iter: 1 Subject: 924244\n", - "Iter: 3 Subject: 910904\n", - "Iter: 1 Subject: 909712\n", - "Iter: 2 Subject: 909759\n", "Iter: 2 Subject: 924244\n", - "Iter: 4 Subject: 910904\n", - "Iter: 3 Subject: 909759\n", - "Iter: 2 Subject: 909712\n", - "Iter: 5 Subject: 910904\n", - "Iter: 3 Subject: 924244\n", - "Iter: 4 Subject: 909759\n", + "Iter: 2 Subject: 909759\n", + "Iter: 1 Subject: 909712\n", "--------------------------------------------------\n", "Subject: 910566 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 909712\n", + "Iter: 3 Subject: 924244\n", + "Iter: 3 Subject: 909759\n", + "Iter: 2 Subject: 909712Iter: 1 Subject: 910566\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", "--------------------------------------------------\n", "Subject: 1240181 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 909712\n", - "Iter: 4 Subject: 924244\n", "--------------------------------------------------\n", "Subject: 688014 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 3 Subject: 905941\n", + "Iter: 1 Subject: 1299062\n", + "Iter: 3 Subject: 1240218\n", "Iter: 2 Subject: 1299062\n", - "Iter: 1 Subject: 1240218\n", - "Iter: 3 Subject: 924238\n", - "Iter: 3 Subject: 1299062\n", - "Iter: 4 Subject: 1299062\n", - "Iter: 1 Subject: 909976.1\n", - "Iter: 4 Subject: 924238\n", "--------------------------------------------------\n", "Subject: 908458 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 1240218\n", + "Iter: 1 Subject: 909976.1\n", "--------------------------------------------------\n", "Subject: 753584 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 3 Subject: 1299062\n", "Iter: 2 Subject: 909976.1\n", - "Iter: 3 Subject: 1240218\n", - "Iter: 3 Subject: 909976.1\n", - "Iter: 4 Subject: 1240218\n", - "Iter: 1 Subject: 908458\n", - "Iter: 1 Subject: 753584\n", - "Iter: 4 Subject: 909976.1\n", - "Iter: 2 Subject: 753584\n", - "Iter: 5 Subject: 1240218\n", + "Iter: 1 Subject: 908458Iter: 1 Subject: 753584\n", + "\n", "--------------------------------------------------\n", "Subject: 907044 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 908458\n", "--------------------------------------------------\n", "Subject: 998184 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 1298533\n", - "Iter: 2 Subject: 1480372\n", + "Iter: 1 Subject: 1298533\n", "Iter: 1 Subject: 930299\n", - "Iter: 3 Subject: 1480372\n", - "Iter: 3 Subject: 1298533\n", - "Iter: 4 Subject: 1480372\n", - "Iter: 4 Subject: 1298533\n", - "Iter: 2 Subject: 930299\n", - "Iter: 3 Subject: 930299\n", - "Iter: 4 Subject: 930299\n", "Iter: 1 Subject: 905954.1\n", + "Iter: 2 Subject: 1298533\n", + "Iter: 2 Subject: 930299\n", "Iter: 2 Subject: 905954.1\n", - "Iter: 3 Subject: 905954.1\n", - "Iter: 4 Subject: 905954.1\n", + "Iter: 3 Subject: 1298533\n", "_____________________________________________________________________\n", "Finish nuSvm\n", "Finish mixer\n", "Get Medias\n", "Creating population (Count: 1000)...\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "Creating Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "Creating Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", + "Creating Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", - "Creating Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 5 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 4 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "Creating Subject: 4 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", - "\n", "--------------------------------------------------\n", - "Creating Subject: 6 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 5 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "--------------------------------------------------\n", "\n", + "Creating Subject: 6 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 7 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -7724,48 +6561,54 @@ "Creating Subject: 9 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 11 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "Creating Subject: 10 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", + "Creating Subject: 11 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 12 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 13 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 12 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", + "--------------------------------------------------Creating Subject: 13 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 14 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 15 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", "Creating Subject: 16 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 17 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 17 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "Creating Subject: 18 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 19 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 20 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 21 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 23 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 22 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 23 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 24 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -7774,21 +6617,21 @@ "--------------------------------------------------\n", "Creating Subject: 26 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 27 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", "Creating Subject: 28 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 29 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 30 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 31 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 30 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 32 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -7798,49 +6641,49 @@ "--------------------------------------------------\n", "Creating Subject: 34 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 36 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", + "Creating Subject: 35 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 37 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 35 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 36 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 38 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 37 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 38 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 39 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 40 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "Creating Subject: 41 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 41 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 42 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "--------------------------------------------------Creating Subject: 43 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 43 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", + "Creating Subject: 45 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Creating Subject: 44 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 45 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 46 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 47 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 48 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "--------------------------------------------------Creating Subject: 48 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 49 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -7848,59 +6691,65 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 51 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 52 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 53 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 54 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 55 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", "Creating Subject: 56 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 58 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", "Creating Subject: 57 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 58 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 59 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 60 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 61 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 62 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 64 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "Creating Subject: 63 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 65 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "Creating Subject: 64 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "----------------------------------------------------------------------------------------------------\n", "\n", + "--------------------------------------------------\n", "Creating Subject: 66 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 67 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 67 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 68 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "--------------------------------------------------Creating Subject: 68 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 69 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -7909,18 +6758,18 @@ "--------------------------------------------------\n", "Creating Subject: 71 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 72 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 73 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 75 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 74 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 75 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 77 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -7934,8 +6783,8 @@ "Creating Subject: 79 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 80 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 80 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Creating Subject: 81 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -7948,19 +6797,13 @@ "--------------------------------------------------\n", "Creating Subject: 84 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 85 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Creating Subject: 86 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Creating Subject: 85 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "--------------------------------------------------Creating Subject: 86 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 87 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -7969,22 +6812,22 @@ "--------------------------------------------------\n", "Creating Subject: 89 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 91 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 90 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 91 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 92 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 93 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 94 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", + "--------------------------------------------------\n", "Creating Subject: 95 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -7993,36 +6836,36 @@ "--------------------------------------------------\n", "Creating Subject: 97 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 99 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 98 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 99 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 100 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 101 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 102 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "Creating Subject: 103 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", - "\n", + "Creating Subject: 103 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 104 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 105 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "Creating Subject: 106 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 105 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 106 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "Creating Subject: 107 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 108 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -8031,14 +6874,20 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 110 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 112 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", "Creating Subject: 111 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 112 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 113 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8047,70 +6896,64 @@ "--------------------------------------------------\n", "Creating Subject: 115 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 116 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 117 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 118 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 119 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 120 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 119 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", "\n", + "Creating Subject: 120 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 121 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 122 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 123 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 124 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "\n", - "--------------------------------------------------Creating Subject: 125 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 124 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 125 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", "\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 126 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 127 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 128 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 129 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 130 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", - "Creating Subject: 130 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 131 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", + "--------------------------------------------------\n", "Creating Subject: 132 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 133 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", + "--------------------------------------------------\n", + "Creating Subject: 133 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "Creating Subject: 134 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", "Creating Subject: 135 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8119,11 +6962,11 @@ "--------------------------------------------------\n", "Creating Subject: 137 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Creating Subject: 138 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 139 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 138 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 139 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 140 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -8146,13 +6989,13 @@ "--------------------------------------------------\n", "Creating Subject: 146 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 147 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "Creating Subject: 148 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 147 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 148 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 149 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8161,11 +7004,11 @@ "--------------------------------------------------\n", "Creating Subject: 151 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 152 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 153 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "Creating Subject: 153 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 154 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -8174,17 +7017,23 @@ "Creating Subject: 155 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 156 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "--------------------------------------------------Creating Subject: 156 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 157 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 158 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "--------------------------------------------------Creating Subject: 158 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 159 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", "Creating Subject: 160 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -8200,17 +7049,17 @@ "--------------------------------------------------\n", "Creating Subject: 164 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "--------------------------------------------------Creating Subject: 165 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", - "Creating Subject: 165 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Creating Subject: 166 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Creating Subject: 167 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 166 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", - "Creating Subject: 168 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", + "Creating Subject: 168 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 169 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -8225,11 +7074,11 @@ "Creating Subject: 172 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 173 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "--------------------------------------------------Creating Subject: 173 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "Creating Subject: 174 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 175 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -8246,18 +7095,12 @@ "Creating Subject: 179 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 180 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "--------------------------------------------------\n", + "--------------------------------------------------Creating Subject: 180 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "Creating Subject: 181 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 182 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8266,34 +7109,34 @@ "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 185 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "Creating Subject: 184 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 184 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 186 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 187 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", "Creating Subject: 188 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 189 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 190 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 189 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", + "Creating Subject: 190 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 191 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 192 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "Creating Subject: 193 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 192 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 193 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 194 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8305,13 +7148,13 @@ "--------------------------------------------------\n", "Creating Subject: 197 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 199 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 198 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 199 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", "Creating Subject: 200 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8321,27 +7164,33 @@ "Creating Subject: 202 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 203 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "Creating Subject: 203 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", - "\n", "Creating Subject: 204 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 205 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 206 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", "Creating Subject: 207 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 209 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 208 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 209 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 210 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8350,16 +7199,16 @@ "--------------------------------------------------\n", "Creating Subject: 212 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 213 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 215 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "\n", "Creating Subject: 214 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 215 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 216 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8373,53 +7222,47 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 220 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "Creating Subject: 222 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", + "\n", "Creating Subject: 221 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 222 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 223 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 224 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 225 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------Creating Subject: 224 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 226 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 227 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 228 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 229 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "\n", + "Creating Subject: 228 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 230 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 229 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ "--------------------------------------------------\n", "Creating Subject: 231 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 232 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 233 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", - "\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 234 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8437,10 +7280,10 @@ "--------------------------------------------------\n", "Creating Subject: 239 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 240 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", + "--------------------------------------------------\n", "Creating Subject: 241 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8456,38 +7299,44 @@ "Creating Subject: 245 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 246 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 247 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", - "Creating Subject: 247 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 246 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 248 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 249 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 250 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Creating Subject: 250 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", "Creating Subject: 251 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 252 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 255 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------Creating Subject: 254 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "\n", "Creating Subject: 253 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 254 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 255 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 256 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", "Creating Subject: 257 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -8503,13 +7352,13 @@ "--------------------------------------------------\n", "Creating Subject: 261 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 263 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", "Creating Subject: 262 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 263 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 264 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8519,27 +7368,27 @@ "Creating Subject: 266 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 267 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "--------------------------------------------------Creating Subject: 267 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "----------------------------------------------------------------------------------------------------Creating Subject: 268 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 269 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 268 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 269 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 270 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 270 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 271 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 271 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 273 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", "Creating Subject: 272 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 273 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 274 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8550,23 +7399,17 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 277 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 278 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "Creating Subject: 279 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 278 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 280 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 279 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 280 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 281 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8575,19 +7418,19 @@ "--------------------------------------------------\n", "Creating Subject: 283 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 284 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", "Creating Subject: 285 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Creating Subject: 287 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Creating Subject: 286 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 287 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 288 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8602,22 +7445,22 @@ "--------------------------------------------------\n", "Creating Subject: 292 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Creating Subject: 294 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Creating Subject: 293 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 295 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "Creating Subject: 294 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 296 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "Creating Subject: 295 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 297 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 297 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", "Creating Subject: 298 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8632,12 +7475,18 @@ "--------------------------------------------------\n", "Creating Subject: 302 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 304 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", "Creating Subject: 303 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 304 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", "Creating Subject: 305 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -8645,12 +7494,12 @@ "Creating Subject: 306 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 307 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "Creating Subject: 307 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", "Creating Subject: 308 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 309 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8666,9 +7515,9 @@ "Creating Subject: 313 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 314 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "--------------------------------------------------Creating Subject: 314 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 315 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8677,15 +7526,15 @@ "--------------------------------------------------\n", "Creating Subject: 317 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 318 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", "Creating Subject: 319 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 320 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "Creating Subject: 320 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 321 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -8699,29 +7548,23 @@ "Creating Subject: 324 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 325 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 326 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 327 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 328 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 329 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 328 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------Creating Subject: 329 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "Creating Subject: 330 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 331 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -8731,22 +7574,22 @@ "--------------------------------------------------\n", "Creating Subject: 333 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 334 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 335 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 336 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 337 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", "--------------------------------------------------Creating Subject: 338 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 339 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8759,107 +7602,107 @@ "Creating Subject: 342 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 343 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 344 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "Creating Subject: 343 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 345 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 346 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "Creating Subject: 347 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 346 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 348 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 347 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 348 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "Creating Subject: 349 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 350 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 351 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 353 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 352 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 353 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 354 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 355 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 356 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", "Creating Subject: 357 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Creating Subject: 358 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "Creating Subject: 359 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", - "\n", + "Creating Subject: 358 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 360 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 359 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 361 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "Creating Subject: 360 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 362 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 363 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 364 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 365 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "Creating Subject: 364 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 366 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 367 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", - "Creating Subject: 368 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 367 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "\n", + "Creating Subject: 366 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "--------------------------------------------------\n", "\n", "--------------------------------------------------\n", - "Creating Subject: 369 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 368 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 369 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 370 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 371 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 373 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", "Creating Subject: 372 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 374 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "Creating Subject: 373 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 375 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -8867,9 +7710,9 @@ "Creating Subject: 376 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 377 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "Creating Subject: 377 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 378 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8879,21 +7722,21 @@ "Creating Subject: 380 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 381 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 382 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 383 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 381 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 383 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "Creating Subject: 384 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 385 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 385 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "\n", + "--------------------------------------------------\n", "Creating Subject: 386 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8902,17 +7745,17 @@ "--------------------------------------------------\n", "Creating Subject: 388 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 389 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", "Creating Subject: 390 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 391 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 392 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", - "Creating Subject: 392 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 391 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 393 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -8922,8 +7765,8 @@ "--------------------------------------------------\n", "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 395 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 396 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -8934,12 +7777,18 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 399 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", "Creating Subject: 400 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 401 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 401 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", "Creating Subject: 402 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -8971,48 +7820,42 @@ "--------------------------------------------------\n", "Creating Subject: 411 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", + "--------------------------------------------------\n", "Creating Subject: 412 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------Creating Subject: 413 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 414 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Creating Subject: 413 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", "\n", + "Creating Subject: 414 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 416 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 415 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 416 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 417 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", "Creating Subject: 418 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 417 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Creating Subject: 419 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 420 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 421 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "--------------------------------------------------\n", - "Creating Subject: 422 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 423 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "Creating Subject: 422 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 424 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -9020,10 +7863,10 @@ "Creating Subject: 425 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 426 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 427 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------Creating Subject: 426 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "Creating Subject: 427 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 428 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -9031,13 +7874,13 @@ "--------------------------------------------------\n", "Creating Subject: 429 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 431 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 430 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 431 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 432 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -9047,9 +7890,9 @@ "Creating Subject: 434 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 435 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 435 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", - "\n", "Creating Subject: 436 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -9057,45 +7900,51 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 438 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "----------------------------------------------------------------------------------------------------\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 439 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 440 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "Creating Subject: 441 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 441 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 442 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 443 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 442 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 443 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 444 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 445 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 446 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 446 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 445 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "\n", + "--------------------------------------------------\n", "Creating Subject: 447 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 448 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 448 Nro. Processor: <_MainProcess(MainProcess, started)>\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 449 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Creating Subject: 451 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 450 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 450 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 451 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 452 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -9105,9 +7954,9 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 454 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 455 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 456 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -9116,18 +7965,18 @@ "Creating Subject: 457 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 458 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", - "\n", + "Creating Subject: 458 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 459 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Creating Subject: 460 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 461 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 460 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 461 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 462 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -9141,34 +7990,28 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 466 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 467 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 468 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ "--------------------------------------------------\n", "Creating Subject: 469 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 470 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 471 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 472 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------Creating Subject: 473 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 473 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 474 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -9178,92 +8021,98 @@ "--------------------------------------------------\n", "Creating Subject: 476 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 477 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 477 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "\n", - "Creating Subject: 478 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 479 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 480 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 481 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "Creating Subject: 478 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 482 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 483 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 479 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 484 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 480 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Creating Subject: 481 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 485 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 482 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 486 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 483 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 487 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 484 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Creating Subject: 485 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 488 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "Creating Subject: 487 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 489 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "Creating Subject: 486 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 490 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", + "Creating Subject: 489 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 491 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 492 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 493 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 494 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 495 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Creating Subject: 494 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 495 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Creating Subject: 496 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 497 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 498 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "Creating Subject: 498 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 499 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Creating Subject: 501 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 500 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", + "Creating Subject: 500 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 501 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 502 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 504 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 503 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "\n", "--------------------------------------------------\n", - "Creating Subject: 503 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 505 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "Creating Subject: 504 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 505 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 506 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -9272,35 +8121,29 @@ "Creating Subject: 507 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 508 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "Creating Subject: 508 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 509 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 511 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", "Creating Subject: 510 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 511 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", "Creating Subject: 512 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 513 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 514 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 513 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "Creating Subject: 515 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ "--------------------------------------------------\n", "Creating Subject: 516 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -9308,20 +8151,20 @@ "Creating Subject: 517 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 518 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "Creating Subject: 519 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "\n", + "Creating Subject: 518 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Creating Subject: 520 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 519 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 521 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 520 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 522 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "Creating Subject: 521 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 523 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -9358,84 +8201,90 @@ "--------------------------------------------------\n", "Creating Subject: 534 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Creating Subject: 536 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Creating Subject: 535 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 537 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "Creating Subject: 538 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 536 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 538 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 539 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 540 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 541 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 542 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 543 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "\n", - "Creating Subject: 544 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 544 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", "Creating Subject: 545 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 547 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 546 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 547 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 548 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 549 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 550 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 551 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 552 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", + "--------------------------------------------------\n", "Creating Subject: 553 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 554 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 556 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "Creating Subject: 555 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 556 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 557 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 558 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 559 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "Creating Subject: 560 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 560 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 561 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -9444,35 +8293,29 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 563 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 564 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 565 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 567 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 566 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 567 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 568 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 570 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 569 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 570 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 571 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -9496,13 +8339,13 @@ "--------------------------------------------------\n", "Creating Subject: 578 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 580 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 579 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 580 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 581 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -9517,16 +8360,16 @@ "--------------------------------------------------\n", "Creating Subject: 585 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 586 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "Creating Subject: 587 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 587 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 588 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", "Creating Subject: 589 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -9534,7 +8377,13 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 591 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", "Creating Subject: 592 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -9545,14 +8394,14 @@ "Creating Subject: 594 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 595 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "Creating Subject: 595 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "Creating Subject: 596 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 597 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 596 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 598 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -9562,49 +8411,43 @@ "--------------------------------------------------\n", "Creating Subject: 600 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 601 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 601 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", "\n", "Creating Subject: 602 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 603 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 604 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "----------------------------------------------------------------------------------------------------\n", "\n", "Creating Subject: 606 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "Creating Subject: 605 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "Creating Subject: 605 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 607 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 608 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 609 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "Creating Subject: 609 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", - "\n", "Creating Subject: 610 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ "--------------------------------------------------\n", - "Creating Subject: 611 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 611 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Creating Subject: 612 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 613 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -9622,14 +8465,14 @@ "--------------------------------------------------\n", "Creating Subject: 618 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", + "--------------------------------------------------\n", "Creating Subject: 619 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 620 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 621 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 620 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 621 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 622 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -9637,11 +8480,11 @@ "--------------------------------------------------\n", "Creating Subject: 623 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 624 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 625 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "\n", - "Creating Subject: 625 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 626 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -9649,35 +8492,35 @@ "--------------------------------------------------\n", "Creating Subject: 627 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 629 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", "Creating Subject: 628 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 630 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 629 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 630 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 631 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 632 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 633 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", "--------------------------------------------------\n", - "Creating Subject: 634 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 633 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 635 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "\n", + "Creating Subject: 634 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 636 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "\n", - "Creating Subject: 637 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 637 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 636 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 638 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -9685,28 +8528,34 @@ "--------------------------------------------------\n", "Creating Subject: 639 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 640 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating Subject: 640 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", "Creating Subject: 641 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 642 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 643 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 644 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 646 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", + "--------------------------------------------------\n", "Creating Subject: 645 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 646 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 647 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -9719,39 +8568,33 @@ "Creating Subject: 650 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "--------------------------------------------------Creating Subject: 651 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "Creating Subject: 652 Nro. Processor: <_MainProcess(MainProcess, started)>----------------------------------------------------------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 652 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Creating Subject: 651 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", + "\n", "Creating Subject: 653 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 654 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 655 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 656 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------Creating Subject: 655 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "Creating Subject: 656 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 657 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ "--------------------------------------------------\n", - "Creating Subject: 658 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 658 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 659 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 659 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 660 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -9760,13 +8603,13 @@ "--------------------------------------------------\n", "Creating Subject: 662 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 663 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 664 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 664 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", "Creating Subject: 665 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -9793,10 +8636,10 @@ "--------------------------------------------------\n", "Creating Subject: 673 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", + "--------------------------------------------------\n", "Creating Subject: 674 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 675 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -9820,36 +8663,42 @@ "--------------------------------------------------\n", "Creating Subject: 682 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 683 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 684 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "----------------------------------------------------------------------------------------------------Creating Subject: 683 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", + "\n", "Creating Subject: 685 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 686 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", "Creating Subject: 687 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 688 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 689 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", "Creating Subject: 690 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Creating Subject: 691 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 692 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "\n", + "--------------------------------------------------\n", + "Creating Subject: 691 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 692 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 693 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -9869,10 +8718,10 @@ "Creating Subject: 698 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 699 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 700 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 699 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 700 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 701 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -9881,50 +8730,44 @@ "Creating Subject: 702 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 703 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 704 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 703 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 704 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 706 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", "Creating Subject: 705 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 707 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Creating Subject: 709 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 706 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 708 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Creating Subject: 707 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 710 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 708 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 709 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "Creating Subject: 710 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", "Creating Subject: 711 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 712 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 713 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 714 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 713 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 715 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "Creating Subject: 714 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 716 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -9937,37 +8780,37 @@ "--------------------------------------------------\n", "Creating Subject: 719 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 720 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 720 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 721 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 722 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 723 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 724 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 725 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "--------------------------------------------------Creating Subject: 725 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "Creating Subject: 726 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 727 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 728 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", - "\n", - "--------------------------------------------------Creating Subject: 729 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", + "Creating Subject: 728 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 729 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 730 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -9978,12 +8821,18 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 733 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", + "Creating Subject: 734 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 734 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "Creating Subject: 735 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", + "Creating Subject: 735 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 736 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -9994,27 +8843,27 @@ "--------------------------------------------------\n", "Creating Subject: 738 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 740 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 739 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 740 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 741 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 742 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 743 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", + "------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 745 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", "Creating Subject: 744 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "Creating Subject: 743 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 746 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -10022,38 +8871,32 @@ "Creating Subject: 747 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 748 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "Creating Subject: 748 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "Creating Subject: 749 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 750 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Creating Subject: 750 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 751 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 752 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 753 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 752 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 754 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 755 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 756 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 756 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 757 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -10061,14 +8904,14 @@ "Creating Subject: 758 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 759 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 760 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", - "--------------------------------------------------\n", - "\n", + "Creating Subject: 759 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "Creating Subject: 761 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 760 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 762 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -10078,43 +8921,43 @@ "--------------------------------------------------\n", "Creating Subject: 764 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 766 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", "Creating Subject: 765 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Creating Subject: 766 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 767 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 768 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------Creating Subject: 767 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 769 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 769 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 770 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 771 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 773 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "\n", "Creating Subject: 772 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 773 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 774 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 775 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 776 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 777 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -10124,9 +8967,9 @@ "Creating Subject: 779 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 780 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "Creating Subject: 780 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 781 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -10134,31 +8977,37 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 783 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", "Creating Subject: 784 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 785 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 786 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 787 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 789 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Creating Subject: 788 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", "--------------------------------------------------\n", - "Creating Subject: 790 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------Creating Subject: 789 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "Creating Subject: 790 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 791 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "--------------------------------------------------Creating Subject: 791 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 792 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -10171,38 +9020,32 @@ "--------------------------------------------------\n", "Creating Subject: 795 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 796 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 797 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "Creating Subject: 796 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 799 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 798 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 801 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 799 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", "Creating Subject: 800 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 801 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 802 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 803 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 804 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 805 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -10230,17 +9073,17 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 813 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 814 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 816 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 815 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 816 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 817 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -10256,23 +9099,23 @@ "Creating Subject: 821 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 822 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "Creating Subject: 823 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 822 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 823 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", "Creating Subject: 824 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 825 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 826 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 827 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 828 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -10281,14 +9124,20 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 830 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 831 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 832 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 833 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -10299,10 +9148,10 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 836 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 837 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 838 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -10310,15 +9159,15 @@ "Creating Subject: 839 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 840 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "Creating Subject: 840 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", "\n", "Creating Subject: 841 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 842 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 842 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", - "\n", "Creating Subject: 843 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -10326,13 +9175,7 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 845 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 846 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -10342,23 +9185,23 @@ "--------------------------------------------------\n", "Creating Subject: 848 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 849 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 850 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 851 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 851 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Creating Subject: 852 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 853 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 854 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------Creating Subject: 853 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "Creating Subject: 854 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 855 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -10374,8 +9217,8 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 859 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 860 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -10387,23 +9230,23 @@ "--------------------------------------------------\n", "Creating Subject: 863 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 865 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 864 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 865 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 866 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 867 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Creating Subject: 869 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 868 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", + "Creating Subject: 868 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 869 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 870 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -10420,19 +9263,25 @@ "--------------------------------------------------\n", "Creating Subject: 874 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 875 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 876 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 877 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", + "Creating Subject: 878 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 878 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", - "\n", "Creating Subject: 879 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -10441,26 +9290,26 @@ "--------------------------------------------------\n", "Creating Subject: 881 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Creating Subject: 883 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Creating Subject: 882 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 883 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 884 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 885 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 884 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", - "Creating Subject: 885 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 886 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Creating Subject: 888 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 887 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 887 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 888 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 889 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -10469,20 +9318,14 @@ "Creating Subject: 890 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 891 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "Creating Subject: 891 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 892 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 893 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 894 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -10507,13 +9350,13 @@ "--------------------------------------------------\n", "Creating Subject: 901 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 903 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 902 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 903 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 904 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -10522,97 +9365,103 @@ "--------------------------------------------------\n", "Creating Subject: 906 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 908 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 907 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 908 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 909 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 910 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 912 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "Creating Subject: 911 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 912 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 913 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 914 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", + "--------------------------------------------------\n", "Creating Subject: 915 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 916 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 917 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 919 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------Creating Subject: 917 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", + "--------------------------------------------------\n", "Creating Subject: 918 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 920 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 919 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 921 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 920 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 921 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 922 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 923 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 924 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 925 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", + "Creating Subject: 926 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "Creating Subject: 927 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 926 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", - "Creating Subject: 927 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 928 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", + "--------------------------------------------------\n", "Creating Subject: 929 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 930 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 931 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 932 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "\n", + "Creating Subject: 932 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 933 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 934 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 936 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 935 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 936 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", "\n", - "--------------------------------------------------\n", "Creating Subject: 937 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -10621,46 +9470,40 @@ "--------------------------------------------------\n", "Creating Subject: 939 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 940 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 941 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "\n", + "Creating Subject: 940 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 942 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 944 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 943 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 946 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", + "Creating Subject: 944 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 945 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 946 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", "Creating Subject: 947 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 948 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 950 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 949 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 950 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 951 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -10669,15 +9512,15 @@ "--------------------------------------------------\n", "Creating Subject: 953 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 954 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", "Creating Subject: 955 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", "Creating Subject: 956 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 957 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -10686,35 +9529,35 @@ "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 959 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 960 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Creating Subject: 961 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 962 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 963 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 964 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 962 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 963 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", - "Creating Subject: 965 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 966 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 964 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", + "Creating Subject: 965 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 967 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "Creating Subject: 966 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Creating Subject: 968 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Creating Subject: 968 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "--------------------------------------------------\n", + "\n", "Creating Subject: 969 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -10723,18 +9566,24 @@ "--------------------------------------------------\n", "Creating Subject: 971 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 973 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Creating Subject: 972 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 973 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 974 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 975 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", "Creating Subject: 976 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", @@ -10756,46 +9605,40 @@ "--------------------------------------------------\n", "Creating Subject: 982 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 983 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "Creating Subject: 984 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 985 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "Creating Subject: 984 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 986 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 985 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", "Creating Subject: 987 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 988 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Creating Subject: 989 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "--------------------------------------------------\n", + "Creating Subject: 989 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", "Creating Subject: 990 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 991 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 992 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Creating Subject: 993 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Creating Subject: 994 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -10804,10 +9647,10 @@ "--------------------------------------------------\n", "Creating Subject: 996 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 997 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "\n", "Creating Subject: 998 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", @@ -10821,439 +9664,364 @@ "----------------------------------------------------------------------------------------------------\n", "Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "\n", "Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "\n", - "Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 1\n", - "Iter: 1 Subject: 3\n", + "Iter: 1 Subject: 1Iter: 1 Subject: 3\n", + "\n", "Iter: 1 Subject: 2\n", "Iter: 1 Subject: 0\n", - "Iter: 2 Subject: 1\n", - "Iter: 2 Subject: 3\n", - "Iter: 2 Subject: 0\n", + "Iter: 2 Subject: 3Iter: 2 Subject: 1\n", + "\n", "Iter: 2 Subject: 2\n", - "Iter: 3 Subject: 1\n", + "Iter: 2 Subject: 0\n", "Iter: 3 Subject: 3\n", - "Iter: 3 Subject: 0\n", - "Iter: 3 Subject: 2\n", - "Iter: 4 Subject: 3\n", - "Iter: 4 Subject: 1\n", "--------------------------------------------------\n", "Subject: 4 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Subject: 5 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 0\n", - "Iter: 5 Subject: 1\n", + "Iter: 3 Subject: 2\n", "--------------------------------------------------\n", "Subject: 6 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 1 Subject: 4\n", "--------------------------------------------------\n", "Subject: 7 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Iter: 1 Subject: 5\n", - "Iter: 2 Subject: 5\n", - "Iter: 1 Subject: 4\n", "Iter: 1 Subject: 6\n", - "Iter: 3 Subject: 5\n", "Iter: 1 Subject: 7\n", - "--------------------------------------------------\n", - "Subject: 8 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "Iter: 2 Subject: 4\n", + "Iter: 2 Subject: 5\n", "Iter: 2 Subject: 6\n", - "Iter: 3 Subject: 4\n", + "Iter: 2 Subject: 7Iter: 3 Subject: 4\n", + "\n", + "Iter: 3 Subject: 5\n", "Iter: 3 Subject: 6\n", - "Iter: 4 Subject: 4\n", - "Iter: 2 Subject: 7\n", "--------------------------------------------------\n", + "--------------------------------------------------Subject: 8 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", "Subject: 9 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 8\n", - "Iter: 4 Subject: 6\n", - "Iter: 3 Subject: 7\n", "--------------------------------------------------\n", "Subject: 10 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 7\n", - "Iter: 2 Subject: 8\n", - "Iter: 5 Subject: 7\n", - "Iter: 1 Subject: 9\n", - "Iter: 3 Subject: 8\n", "--------------------------------------------------\n", "Subject: 11 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 1 Subject: 8\n", + "Iter: 1 Subject: 9\n", "Iter: 1 Subject: 10\n", - "Iter: 2 Subject: 9\n", - "Iter: 4 Subject: 8\n", + "Iter: 2 Subject: 8\n", + "Iter: 1 Subject: 11Iter: 2 Subject: 9\n", + "\n", + "Iter: 2 Subject: 10\n", + "Iter: 2 Subject: 11\n", "--------------------------------------------------\n", "Subject: 12 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Iter: 3 Subject: 9\n", - "Iter: 2 Subject: 10\n", - "Iter: 1 Subject: 11\n", + "Iter: 3 Subject: 10\n", "--------------------------------------------------\n", "Subject: 13 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 11\n", - "Iter: 3 Subject: 10\n", - "Iter: 1 Subject: 12\n", - "Iter: 4 Subject: 10\n", "Iter: 3 Subject: 11\n", - "Iter: 1 Subject: 13\n", + "Iter: 1 Subject: 12\n", "--------------------------------------------------\n", "Subject: 14 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 1 Subject: 13\n", "--------------------------------------------------\n", "Subject: 15 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Iter: 2 Subject: 12\n", "Iter: 2 Subject: 13\n", - "Iter: 3 Subject: 12\n", "Iter: 1 Subject: 14\n", - "Iter: 3 Subject: 13\n", - "Iter: 4 Subject: 12\n", + "Iter: 3 Subject: 12\n", "Iter: 1 Subject: 15\n", + "Iter: 3 Subject: 13\n", + "Iter: 4 Subject: 12Iter: 2 Subject: 14\n", + "\n", + "Iter: 2 Subject: 15\n", "--------------------------------------------------\n", "Subject: 16 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 14\n", - "Iter: 5 Subject: 12\n", "--------------------------------------------------\n", "Subject: 17 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 3 Subject: 14\n", - "Iter: 2 Subject: 15\n", - "Iter: 1 Subject: 16\n", - "Iter: 4 Subject: 14\n", - "Iter: 3 Subject: 15\n", - "Iter: 2 Subject: 16\n", - "Iter: 1 Subject: 17\n", - "Iter: 5 Subject: 14\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", "Subject: 18 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 15\n", - "Iter: 3 Subject: 16\n", - "Iter: 2 Subject: 17\n", + "Iter: 3 Subject: 15\n", + "Iter: 1 Subject: 16\n", + "Iter: 1 Subject: 17\n", "--------------------------------------------------\n", "Subject: 19 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 5 Subject: 15\n", - "Iter: 3 Subject: 17\n", + "--------------------------------------------------Iter: 1 Subject: 18\n", + "\n", + "Iter: 2 Subject: 17\n", + "Iter: 2 Subject: 16\n", + "Iter: 1 Subject: 19\n", + "Iter: 2 Subject: 18\n", "--------------------------------------------------\n", "Subject: 20 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 18\n", "--------------------------------------------------\n", "Subject: 21 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 19\n", - "Iter: 2 Subject: 18\n", "Iter: 2 Subject: 19\n", - "Iter: 1 Subject: 20\n", "Iter: 3 Subject: 18\n", + "Iter: 1 Subject: 20\n", "Iter: 1 Subject: 21Iter: 3 Subject: 19\n", "\n", - "Iter: 2 Subject: 20\n", - "Iter: 4 Subject: 18\n", - "Iter: 4 Subject: 19\n", - "Iter: 5 Subject: 18\n", - "Iter: 3 Subject: 20\n", "--------------------------------------------------\n", "Subject: 22 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 21\n", - "--------------------------------------------------\n", + "Iter: 2 Subject: 20\n", + "--------------------------------------------------Iter: 1 Subject: 22\n", "Subject: 23 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "Iter: 2 Subject: 21\n", "--------------------------------------------------\n", "Subject: 24 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 3 Subject: 21\n", - "Iter: 4 Subject: 21\n", - "Iter: 1 Subject: 22\n", - "Iter: 1 Subject: 24\n", + "--------------------------------------------------Iter: 2 Subject: 22\n", + "Iter: 1 Subject: 23\n", "--------------------------------------------------\n", "Subject: 25 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 23\n", - "Iter: 2 Subject: 22\n", - "Iter: 2 Subject: 24\n", - "Iter: 2 Subject: 23\n", + "\n", "Iter: 3 Subject: 22\n", - "Iter: 3 Subject: 24\n", + "Iter: 2 Subject: 23\n", + "Iter: 1 Subject: 24\n", "Iter: 1 Subject: 25\n", - "Iter: 3 Subject: 23\n", "--------------------------------------------------\n", "Subject: 26 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Iter: 4 Subject: 24\n", - "Iter: 4 Subject: 23\n", - "--------------------------------------------------Iter: 2 Subject: 25\n", - "\n", - "Subject: 27 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Subject: 28 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Subject: 27 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 25\n", - "Iter: 1 Subject: 26\n", - "Iter: 1 Subject: 28\n", + "Iter: 2 Subject: 24\n", + "Iter: 2 Subject: 25\n", "Iter: 1 Subject: 27\n", - "Iter: 4 Subject: 25\n", + "Iter: 1 Subject: 26\n", + "Iter: 3 Subject: 24\n", + "Iter: 3 Subject: 25\n", "Iter: 2 Subject: 26\n", + "Iter: 2 Subject: 27\n", + "--------------------------------------------------\n", + "Subject: 28 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Subject: 29 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 28\n", - "Iter: 2 Subject: 27\n", - "Iter: 3 Subject: 26\n", - "Iter: 3 Subject: 28\n", - "Iter: 4 Subject: 28\n", - "Iter: 4 Subject: 26\n", - "Iter: 3 Subject: 27\n", - "Iter: 1 Subject: 29Iter: 5 Subject: 28\n", - "\n", "--------------------------------------------------\n", "Subject: 30 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", + "Iter: 1 Subject: 29\n", + "Iter: 1 Subject: 28\n", + "Iter: 3 Subject: 27\n", + "Iter: 1 Subject: 30\n", + "Iter: 2 Subject: 28--------------------------------------------------\n", + "\n", "Subject: 31 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 27\n", + "Iter: 2 Subject: 29\n", + "Iter: 3 Subject: 28\n", + "Iter: 2 Subject: 30Iter: 1 Subject: 31\n", + "\n", + "Iter: 3 Subject: 29\n", "--------------------------------------------------\n", "Subject: 32 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 29\n", - "Iter: 3 Subject: 29\n", - "Iter: 1 Subject: 30\n", - "Iter: 1 Subject: 31\n", - "Iter: 4 Subject: 29\n", - "Iter: 1 Subject: 32\n", - "Iter: 2 Subject: 30\n", "--------------------------------------------------\n", "Subject: 33 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Iter: 2 Subject: 31\n", - "Iter: 2 Subject: 32\n", - "Iter: 3 Subject: 30\n", - "Iter: 3 Subject: 32\n", - "Iter: 3 Subject: 31\n", - "Iter: 4 Subject: 30\n", - "Iter: 1 Subject: 33\n", + "Iter: 4 Subject: 29\n", "--------------------------------------------------\n", "Subject: 34 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 1 Subject: 32\n", + "Iter: 1 Subject: 33\n", "--------------------------------------------------\n", "Subject: 35 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 32\n", - "Iter: 2 Subject: 33\n", + "Iter: 1 Subject: 34Iter: 2 Subject: 33\n", + "Iter: 2 Subject: 32\n", + "\n", + "Iter: 1 Subject: 35\n", + "Iter: 3 Subject: 32\n", "--------------------------------------------------\n", "Subject: 36 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Iter: 3 Subject: 33\n", - "Iter: 1 Subject: 34\n", - "Iter: 1 Subject: 35\n", - "Iter: 4 Subject: 33\n", + "Iter: 2 Subject: 34\n", "--------------------------------------------------\n", "Subject: 37 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 34\n", - "Iter: 1 Subject: 36\n", - "Iter: 3 Subject: 34\n", - "Iter: 2 Subject: 35\n", "--------------------------------------------------\n", "Subject: 38 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 36\n", + "Iter: 2 Subject: 35\n", + "Iter: 1 Subject: 36\n", "Iter: 1 Subject: 37\n", - "Iter: 3 Subject: 35\n", - "Iter: 3 Subject: 36\n", - "Iter: 4 Subject: 35\n", - "Iter: 2 Subject: 37\n", - "Iter: 4 Subject: 36\n", + "Iter: 1 Subject: 38\n", "--------------------------------------------------\n", + "Iter: 2 Subject: 36\n", "Subject: 39 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 2 Subject: 37\n", + "Iter: 2 Subject: 38\n", + "Iter: 1 Subject: 39\n", + "Iter: 3 Subject: 36\n", "--------------------------------------------------\n", "Subject: 40 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 37\n", - "Iter: 1 Subject: 38\n", - "Iter: 4 Subject: 37\n", + "Iter: 3 Subject: 38\n", + "Iter: 2 Subject: 39\n", "--------------------------------------------------\n", "Subject: 41 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 38\n", - "Iter: 1 Subject: 39\n", - "Iter: 1 Subject: 41\n", - "Iter: 2 Subject: 39\n", - "Iter: 3 Subject: 38\n", - "Iter: 2 Subject: 41\n", "Iter: 1 Subject: 40\n", - "Iter: 3 Subject: 39\n", - "Iter: 3 Subject: 41\n", - "Iter: 4 Subject: 38\n", - "Iter: 4 Subject: 39\n", - "Iter: 4 Subject: 41\n", "--------------------------------------------------\n", "Subject: 42 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 40\n", "--------------------------------------------------\n", "Subject: 43 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 44 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "Iter: 1 Subject: 41\n", + "Iter: 2 Subject: 40\n", + "Iter: 1 Subject: 42\n", + "Iter: 1 Subject: 43Iter: 2 Subject: 41\n", + "\n", "Iter: 3 Subject: 40\n", + "Iter: 2 Subject: 42\n", + "Iter: 2 Subject: 43\n", + "Iter: 3 Subject: 41\n", "Iter: 4 Subject: 40\n", "--------------------------------------------------\n", - "Subject: 45 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Subject: 44 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 42Iter: 1 Subject: 44\n", + "--------------------------------------------------Iter: 4 Subject: 41\n", "\n", - "Iter: 1 Subject: 43\n", - "Iter: 2 Subject: 44\n", - "Iter: 2 Subject: 42\n", - "Iter: 2 Subject: 43\n", - "Iter: 1 Subject: 45\n", - "Iter: 3 Subject: 43\n", - "Iter: 3 Subject: 42\n", - "Iter: 3 Subject: 44\n", - "Iter: 4 Subject: 44Iter: 4 Subject: 42\n", + "--------------------------------------------------Subject: 45 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "\n", - "Iter: 4 Subject: 43\n", - "Iter: 2 Subject: 45\n", - "--------------------------------------------------\n", "Subject: 46 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Subject: 47 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", "--------------------------------------------------\n", - "Subject: 48 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Subject: 47 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 45\n", "Iter: 1 Subject: 46\n", - "Iter: 4 Subject: 45\n", + "Iter: 1 Subject: 45Iter: 1 Subject: 44\n", + "\n", "Iter: 1 Subject: 47\n", - "Iter: 1 Subject: 48\n", - "Iter: 5 Subject: 45\n", + "Iter: 2 Subject: 45\n", "Iter: 2 Subject: 46\n", - "--------------------------------------------------\n", - "Subject: 49 Nro. Processor: <_MainProcess(MainProcess, started)>Iter: 2 Subject: 47\n", + "Iter: 2 Subject: 44\n", + "--------------------------------------------------Iter: 2 Subject: 47\n", "\n", + "Subject: 48 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 48\n", "Iter: 3 Subject: 46\n", - "Iter: 3 Subject: 48\n", + "--------------------------------------------------\n", + "Subject: 49 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 44\n", + "Iter: 1 Subject: 48\n", "Iter: 3 Subject: 47\n", - "Iter: 4 Subject: 46\n", - "Iter: 4 Subject: 48\n", + "Iter: 1 Subject: 49\n", + "Iter: 4 Subject: 44\n", + "Iter: 2 Subject: 48\n", "--------------------------------------------------\n", "Subject: 50 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Subject: 51 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Iter: 2 Subject: 91\n", + "Iter: 1 Subject: 92\n", + "Iter: 3 Subject: 90\n", + "Iter: 3 Subject: 91\n", + "Iter: 1 Subject: 93\n", "--------------------------------------------------\n", "Subject: 94 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 2 Subject: 92\n", "--------------------------------------------------\n", "Subject: 95 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 93\n", + "Iter: 2 Subject: 93\n", + "Iter: 1 Subject: 94\n", "Iter: 3 Subject: 92\n", + "Iter: 1 Subject: 95\n", "--------------------------------------------------\n", "Subject: 96 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 212\n", - "Iter: 1 Subject: 213\n", - "Iter: 2 Subject: 214\n", - "Iter: 3 Subject: 212\n", - "Iter: 3 Subject: 214\n", - "Iter: 1 Subject: 215\n", + "Iter: 1 Subject: 214\n", "Iter: 2 Subject: 213\n", + "Iter: 1 Subject: 215\n", + "Iter: 2 Subject: 212\n", "--------------------------------------------------\n", "Subject: 216 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 214\n", - "Iter: 3 Subject: 213\n", + "Iter: 3 Subject: 212\n", + "Iter: 2 Subject: 214\n", "Iter: 2 Subject: 215\n", - "Iter: 5 Subject: 214\n", - "Iter: 4 Subject: 213\n", + "Iter: 1 Subject: 216\n", "--------------------------------------------------\n", "Subject: 217 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 3 Subject: 214\n", "Iter: 3 Subject: 215\n", + "Iter: 2 Subject: 216\n", + "Iter: 1 Subject: 217\n", "--------------------------------------------------\n", "Subject: 218 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 216\n", "Iter: 4 Subject: 215\n", - "Iter: 5 Subject: 215\n", "--------------------------------------------------\n", "Subject: 219 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 216\n", - "Iter: 1 Subject: 217\n", - "Iter: 1 Subject: 218\n", - "Iter: 3 Subject: 216\n", "Iter: 2 Subject: 217\n", - "Iter: 1 Subject: 219\n", - "Iter: 2 Subject: 218\n", - "Iter: 4 Subject: 216\n", + "Iter: 1 Subject: 218\n", "--------------------------------------------------\n", "Subject: 220 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 217\n", - "Iter: 3 Subject: 218\n", + "Iter: 1 Subject: 219\n", "--------------------------------------------------\n", "Subject: 221 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 2 Subject: 218\n", + "Iter: 1 Subject: 220\n", + "Iter: 1 Subject: 221\n", "Iter: 2 Subject: 219\n", - "Iter: 3 Subject: 219\n", + "Iter: 3 Subject: 218\n", + "Iter: 2 Subject: 220\n", + "Iter: 2 Subject: 221\n", "Iter: 4 Subject: 218\n", - "Iter: 1 Subject: 220\n", + "Iter: 3 Subject: 219\n", + "Iter: 3 Subject: 220\n", "--------------------------------------------------\n", "Subject: 222 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 221\n", - "Iter: 2 Subject: 220\n", - "Iter: 5 Subject: 218\n", - "Iter: 2 Subject: 221\n", "--------------------------------------------------\n", "Subject: 223 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 220\n", - "Iter: 3 Subject: 221\n", - "Iter: 1 Subject: 222\n", - "Iter: 4 Subject: 220\n", "--------------------------------------------------\n", "Subject: 224 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 5 Subject: 220\n", - "Iter: 1 Subject: 223\n", "--------------------------------------------------\n", "Subject: 225 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 222\n", - "Iter: 2 Subject: 223\n", + "Iter: 1 Subject: 222\n", "Iter: 1 Subject: 224\n", - "Iter: 3 Subject: 222\n", - "Iter: 3 Subject: 223\n", + "Iter: 1 Subject: 223\n", "Iter: 1 Subject: 225\n", "Iter: 2 Subject: 224\n", - "Iter: 4 Subject: 222\n", - "Iter: 4 Subject: 223\n", + "Iter: 2 Subject: 222\n", + "Iter: 2 Subject: 223\n", + "Iter: 2 Subject: 225\n", "--------------------------------------------------\n", "Subject: 226 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 5 Subject: 222\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Iter: 3 Subject: 224\n", + "Iter: 3 Subject: 222\n", + "Iter: 3 Subject: 223\n", + "Iter: 1 Subject: 226\n", + "Iter: 3 Subject: 225\n", "--------------------------------------------------\n", "Subject: 227 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 225\n", "--------------------------------------------------\n", "Subject: 228 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 225\n", - "Iter: 1 Subject: 226\n", - "Iter: 4 Subject: 225\n", - "Iter: 1 Subject: 228\n", "--------------------------------------------------\n", "Subject: 229 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 227\n", "Iter: 2 Subject: 226\n", - "Iter: 2 Subject: 228\n", - "Iter: 3 Subject: 226\n", - "Iter: 3 Subject: 228\n", - "Iter: 2 Subject: 227\n", - "--------------------------------------------------\n", - "Subject: 230 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 4 Subject: 226\n", + "Iter: 1 Subject: 228\n", + "Iter: 1 Subject: 227\n", "Iter: 1 Subject: 229\n", - "Iter: 3 Subject: 227Iter: 5 Subject: 226\n", + "Iter: 3 Subject: 226\n", + "Iter: 2 Subject: 228\n", + "--------------------------------------------------Iter: 2 Subject: 227\n", "\n", - "--------------------------------------------------\n", - "Subject: 231 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Subject: 230 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Iter: 2 Subject: 229\n", - "Iter: 4 Subject: 227\n", + "Iter: 3 Subject: 228\n", + "Iter: 3 Subject: 227\n", "Iter: 1 Subject: 230\n", + "Iter: 3 Subject: 229\n", + "Iter: 4 Subject: 228\n", + "--------------------------------------------------\n", + "Subject: 231 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Subject: 232 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 229\n", - "Iter: 1 Subject: 231\n", - "Iter: 2 Subject: 230\n", - "Iter: 4 Subject: 229\n", - "Iter: 1 Subject: 232\n", - "Iter: 3 Subject: 230\n", - "Iter: 2 Subject: 231\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Subject: 233 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 232\n", - "Iter: 3 Subject: 231\n", - "Iter: 5 Subject: 229\n", + "Iter: 2 Subject: 230\n", + "Iter: 3 Subject: 230\n", + "Iter: 1 Subject: 231\n", + "Iter: 1 Subject: 232Iter: 1 Subject: 233\n", + "\n", "--------------------------------------------------\n", "Subject: 234 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 231\n", - "Iter: 3 Subject: 232\n", - "Iter: 5 Subject: 231\n", - "Iter: 4 Subject: 232\n", + "Iter: 2 Subject: 231\n", + "Iter: 2 Subject: 233\n", + "Iter: 2 Subject: 232\n", + "Iter: 3 Subject: 231Iter: 1 Subject: 234\n", + "\n", + "Iter: 3 Subject: 232Iter: 3 Subject: 233\n", + "\n", + "Iter: 2 Subject: 234\n", "--------------------------------------------------\n", "Subject: 235 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 233\n", - "Iter: 1 Subject: 234\n", "--------------------------------------------------\n", "Subject: 236 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 234\n", - "Iter: 1 Subject: 235Iter: 2 Subject: 233\n", - "\n", - "Iter: 3 Subject: 234\n", - "Iter: 1 Subject: 236Iter: 4 Subject: 234\n", - "\n", - "Iter: 3 Subject: 233\n", - "Iter: 2 Subject: 235\n", "--------------------------------------------------\n", "Subject: 237 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 4 Subject: 233\n", - "Iter: 2 Subject: 236\n", - "Iter: 3 Subject: 235\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "--------------------------------------------------\n", "Subject: 238 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 1 Subject: 235\n", + "Iter: 1 Subject: 236\n", + "Iter: 1 Subject: 237\n", + "Iter: 1 Subject: 238\n", + "Iter: 2 Subject: 235\n", + "Iter: 2 Subject: 236\n", + "Iter: 2 Subject: 238\n", + "Iter: 2 Subject: 237\n", + "Iter: 3 Subject: 235\n", "Iter: 3 Subject: 236\n", - "--------------------------------------------------\n", + "Iter: 3 Subject: 238\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", "Subject: 239 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 237\n", - "--------------------------------------------------\n", "Subject: 240 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 237\n", - "Iter: 1 Subject: 238\n", + "--------------------------------------------------\n", "Iter: 3 Subject: 237\n", - "Iter: 1 Subject: 239\n", - "Iter: 2 Subject: 238\n", - "Iter: 4 Subject: 237\n", "--------------------------------------------------\n", "Subject: 241 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Iter: 1 Subject: 240\n", - "Iter: 2 Subject: 239\n", - "Iter: 3 Subject: 238\n", + "Iter: 1 Subject: 239\n", "--------------------------------------------------\n", "Subject: 242 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 239\n", - "Iter: 2 Subject: 240\n", - "Iter: 4 Subject: 239\n", "Iter: 1 Subject: 241\n", - "Iter: 3 Subject: 240\n", + "Iter: 2 Subject: 240\n", + "Iter: 2 Subject: 239\n", + "Iter: 1 Subject: 242\n", + "Iter: 3 Subject: 239\n", + "Iter: 2 Subject: 241\n", "--------------------------------------------------\n", "Subject: 243 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 2 Subject: 242\n", + "Iter: 4 Subject: 239\n", + "Iter: 3 Subject: 241Iter: 1 Subject: 243\n", + "\n", + "Iter: 3 Subject: 242\n", "--------------------------------------------------\n", "Subject: 244 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 242\n", - "Iter: 2 Subject: 241\n", - "Iter: 3 Subject: 241\n", - "Iter: 1 Subject: 244\n", - "Iter: 2 Subject: 242\n", "--------------------------------------------------\n", "Subject: 245 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 243\n", - "Iter: 2 Subject: 244\n", - "Iter: 3 Subject: 242\n", "Iter: 2 Subject: 243\n", - "Iter: 1 Subject: 245Iter: 4 Subject: 242\n", - "\n", - "Iter: 3 Subject: 243\n", - "Iter: 3 Subject: 244\n", "--------------------------------------------------\n", "Subject: 246 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 243\n", + "Iter: 1 Subject: 244\n", + "Iter: 1 Subject: 245\n", + "Iter: 1 Subject: 246\n", + "Iter: 3 Subject: 243\n", + "Iter: 2 Subject: 244\n", "Iter: 2 Subject: 245\n", - "Iter: 4 Subject: 244\n", + "Iter: 2 Subject: 246\n", + "Iter: 4 Subject: 243Iter: 3 Subject: 244\n", + "\n", "--------------------------------------------------\n", "Subject: 247 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 245\n", - "Iter: 5 Subject: 244\n", - "Iter: 4 Subject: 245\n", + "Iter: 3 Subject: 246\n", "--------------------------------------------------\n", "Subject: 248 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 246\n", "--------------------------------------------------\n", "Subject: 249 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Iter: 1 Subject: 247\n", - "Iter: 2 Subject: 246\n", - "Iter: 3 Subject: 246\n", + "Iter: 4 Subject: 246\n", + "Iter: 1 Subject: 248\n", "--------------------------------------------------\n", "Subject: 250 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 248\n", + "Iter: 1 Subject: 249\n", "Iter: 2 Subject: 247\n", "Iter: 2 Subject: 248\n", - "Iter: 1 Subject: 249\n", - "Iter: 1 Subject: 250\n", - "Iter: 3 Subject: 247\n", - "Iter: 3 Subject: 248\n", - "Iter: 4 Subject: 247\n", - "Iter: 4 Subject: 248\n", - "Iter: 2 Subject: 249\n", "--------------------------------------------------\n", "Subject: 251 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 250\n", - "--------------------------------------------------\n", + "Iter: 1 Subject: 250\n", + "Iter: 2 Subject: 249\n", + "Iter: 3 Subject: 247\n", + "Iter: 1 Subject: 251\n", + "--------------------------------------------------Iter: 3 Subject: 249\n", + "\n", "Subject: 252 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 249\n", - "Iter: 3 Subject: 250\n", - "Iter: 1 Subject: 251\n", - "Iter: 4 Subject: 249\n", + "Iter: 2 Subject: 250\n", + "Iter: 2 Subject: 251\n", "--------------------------------------------------\n", "Subject: 253 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Iter: 1 Subject: 252\n", + "Iter: 3 Subject: 250\n", + "Iter: 3 Subject: 251\n", + "Iter: 1 Subject: 253\n", + "Iter: 4 Subject: 250\n", + "Iter: 2 Subject: 252\n", "--------------------------------------------------\n", "Subject: 254 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 251\n", - "Iter: 2 Subject: 252\n", - "Iter: 3 Subject: 251\n", - "Iter: 3 Subject: 252\n", - "Iter: 4 Subject: 251\n", - "Iter: 1 Subject: 254\n", - "Iter: 1 Subject: 253\n", - "Iter: 4 Subject: 252\n", - "Iter: 5 Subject: 251\n", "--------------------------------------------------\n", "Subject: 255 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 2 Subject: 253\n", "--------------------------------------------------\n", "Subject: 256 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 254\n", - "Iter: 2 Subject: 253\n", - "Iter: 3 Subject: 254\n", - "Iter: 3 Subject: 253\n", - "Iter: 4 Subject: 254\n", - "Iter: 4 Subject: 253\n", - "Iter: 1 Subject: 255\n", "--------------------------------------------------\n", "Subject: 257 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 1 Subject: 255\n", + "Iter: 1 Subject: 254\n", "Iter: 1 Subject: 256\n", - "Iter: 5 Subject: 253\n", + "Iter: 1 Subject: 257\n", + "Iter: 2 Subject: 255\n", + "Iter: 2 Subject: 254\n", + "Iter: 2 Subject: 256\n", + "Iter: 2 Subject: 257\n", + "Iter: 3 Subject: 254\n", "--------------------------------------------------\n", "Subject: 258 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 256\n", - "Iter: 2 Subject: 255\n", - "Iter: 1 Subject: 257\n", - "Iter: 3 Subject: 256\n", - "Iter: 1 Subject: 258\n", - "Iter: 3 Subject: 255\n", - "Iter: 2 Subject: 257\n", - "Iter: 4 Subject: 256\n", - "Iter: 4 Subject: 255\n", "--------------------------------------------------\n", "Subject: 259 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------Iter: 3 Subject: 257\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Iter: 2 Subject: 258\n", "--------------------------------------------------\n", - "Subject: 260 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Iter: 3 Subject: 257\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 257\n", - "Iter: 3 Subject: 258\n", + "Subject: 260 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 1 Subject: 258\n", + "Iter: 1 Subject: 259\n", + "Iter: 1 Subject: 260--------------------------------------------------\n", "Subject: 261 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 258\n", - "Iter: 1 Subject: 259\n", + "\n", + "Iter: 2 Subject: 258\n", + "Iter: 2 Subject: 259\n", + "Iter: 2 Subject: 260\n", + "Iter: 1 Subject: 261\n", "--------------------------------------------------\n", "Subject: 262 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 260\n", - "Iter: 2 Subject: 259\n", - "Iter: 1 Subject: 261\n", - "Iter: 2 Subject: 260\n", - "Iter: 1 Subject: 262\n", - "Iter: 3 Subject: 259\n", "Iter: 3 Subject: 260\n", + "Iter: 3 Subject: 259\n", "Iter: 2 Subject: 261\n", - "Iter: 2 Subject: 262\n", - "Iter: 4 Subject: 259\n", "--------------------------------------------------\n", "Subject: 263 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 261\n", - "Iter: 3 Subject: 262\n", + "Iter: 1 Subject: 262\n", "--------------------------------------------------\n", "Subject: 264 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 262Iter: 4 Subject: 261\n", - "\n", "--------------------------------------------------\n", "Subject: 265 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Iter: 1 Subject: 263\n", - "Iter: 5 Subject: 261\n", + "Iter: 2 Subject: 262\n", + "Iter: 1 Subject: 265\n", "Iter: 1 Subject: 264\n", - "--------------------------------------------------\n", + "--------------------------------------------------Iter: 2 Subject: 263\n", + "\n", "Subject: 266 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 263\n", - "Iter: 1 Subject: 265\n", - "Iter: 2 Subject: 264\n", - "Iter: 3 Subject: 263\n", - "Iter: 3 Subject: 264\n", - "Iter: 4 Subject: 263\n", "Iter: 2 Subject: 265\n", - "Iter: 1 Subject: 266\n", "--------------------------------------------------\n", "Subject: 267 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 264\n", + "Iter: 2 Subject: 264\n", + "Iter: 1 Subject: 266\n", "Iter: 3 Subject: 265\n", - "Iter: 5 Subject: 264\n", - "Iter: 2 Subject: 266\n", "Iter: 1 Subject: 267\n", + "Iter: 2 Subject: 266\n", + "Iter: 3 Subject: 264\n", "--------------------------------------------------\n", "Subject: 268 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 265\n", - "Iter: 3 Subject: 266\n", "--------------------------------------------------\n", "Subject: 269 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "Iter: 2 Subject: 267\n", - "Iter: 5 Subject: 265\n", - "Iter: 3 Subject: 267\n", + "Iter: 4 Subject: 264\n", "Iter: 1 Subject: 268\n", "--------------------------------------------------\n", "Subject: 270 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 267\n", "Iter: 1 Subject: 269\n", - "Iter: 2 Subject: 268\n", "--------------------------------------------------\n", "Subject: 271 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Iter: 2 Subject: 268\n", + "Iter: 2 Subject: 269\n", "Iter: 1 Subject: 270\n", + "Iter: 1 Subject: 271\n", "Iter: 3 Subject: 268\n", - "Iter: 2 Subject: 269\n", - "Iter: 4 Subject: 268\n", "Iter: 3 Subject: 269\n", - "Iter: 1 Subject: 271\n", "Iter: 2 Subject: 270\n", "--------------------------------------------------\n", "Subject: 272 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 269\n", - "Iter: 3 Subject: 270\n", + "Iter: 2 Subject: 271\n", "--------------------------------------------------\n", "Subject: 273 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 272\n", - "Iter: 2 Subject: 274\n", - "Iter: 3 Subject: 273\n", - "Iter: 4 Subject: 272\n", + "Iter: 2 Subject: 272\n", + "Iter: 2 Subject: 273\n", + "Iter: 1 Subject: 274\n", "Iter: 1 Subject: 275\n", - "Iter: 3 Subject: 274\n", - "Iter: 4 Subject: 273\n", - "Iter: 5 Subject: 272\n", - "Iter: 4 Subject: 274--------------------------------------------------\n", + "Iter: 3 Subject: 272\n", + "--------------------------------------------------\n", "Subject: 276 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "\n", "--------------------------------------------------\n", + "Iter: 2 Subject: 274\n", "Iter: 2 Subject: 275\n", "--------------------------------------------------\n", "Subject: 277 Nro. Processor: <_MainProcess(MainProcess, started)>\n", @@ -12784,3926 +11324,3258 @@ "--------------------------------------------------\n", "Subject: 278 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: 306\n", + "Iter: 2 Subject: 305Iter: 1 Subject: 307\n", + "\n", + "Iter: 1 Subject: 308Iter: 2 Subject: 306\n", + "\n", "Iter: 3 Subject: 305\n", - "Iter: 2 Subject: 307\n", + "Iter: 2 Subject: 308\n", "Iter: 3 Subject: 306\n", - "Iter: 1 Subject: 308\n", + "Iter: 2 Subject: 307\n", "--------------------------------------------------\n", "Subject: 309 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 4 Subject: 306\n", - "Iter: 3 Subject: 307\n", - "--------------------------------------------------\n", + "Iter: 3 Subject: 308--------------------------------------------------\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Subject: 310 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: 995\n", - "Iter: 4 Subject: 996\n", "--------------------------------------------------\n", "Subject: 999 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 997\n", - "Iter: 1 Subject: 998\n", "Iter: 2 Subject: 997\n", - "Iter: 1 Subject: 999\n", - "Iter: 3 Subject: 997\n", - "Iter: 2 Subject: 998\n", - "Iter: 4 Subject: 997\n", + "Iter: 3 Subject: 996\n", + "Iter: 4 Subject: 996\n", + "Iter: 1 Subject: 999Iter: 1 Subject: 998\n", + "\n", "Iter: 2 Subject: 999\n", - "Iter: 3 Subject: 998\n", + "Iter: 2 Subject: 998\n", "Iter: 3 Subject: 999\n", + "Iter: 3 Subject: 998\n", + "Iter: 4 Subject: 999\n", "Iter: 4 Subject: 998\n", "_____________________________________________________________________\n", "Finish nuSvm\n", @@ -17956,6 +15636,30 @@ "if __name__ == '__main__':\n", " result2, pValues2 = Mixture.Mixture(X, Y , cores, iters, output)" ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Terminado\n" + ] + } + ], + "source": [ + "print('Terminado')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From 5759be4033c01a60ddd2b560bed9998c53edeff9 Mon Sep 17 00:00:00 2001 From: Matias Miranda Date: Fri, 25 Oct 2019 14:02:26 -0300 Subject: [PATCH 27/52] auto open web browser --- app/app.py | 12 +++++++++++- app/setup.py | 2 +- cellines.ipynb | 16 ++++++++++++++-- 3 files changed, 26 insertions(+), 4 deletions(-) diff --git a/app/app.py b/app/app.py index ff56f04..69b16c0 100755 --- a/app/app.py +++ b/app/app.py @@ -7,9 +7,11 @@ import multiprocessing import sys import os +import webbrowser import numpy as np + import dash from dash.dependencies import Input, Output, State import dash_core_components as dcc @@ -18,6 +20,8 @@ from flask import send_file import plotly.graph_objects as go +from threading import Timer + import pandas as pd expression = '' @@ -80,6 +84,8 @@ def find_data_file(filename): ''' +app.title = 'MixturePy' + app.layout = html.Div([ html.Div([ html.H6('an improved algorithm for immune tumor microenvironment estimation based on gene expression data', style = { @@ -474,5 +480,9 @@ def input_triggers_spinner_2(value, signature, population): ] #return children +def open_browser(): + webbrowser.open_new('http://127.0.0.1:8082/') + if __name__ == '__main__': - app.run_server(debug=True, port=8080) \ No newline at end of file + Timer(1, open_browser).start() + app.run_server(debug=False, port=8082, host='127.0.0.1') \ No newline at end of file diff --git a/app/setup.py b/app/setup.py index 663ff70..e574e55 100644 --- a/app/setup.py +++ b/app/setup.py @@ -40,7 +40,7 @@ setup( name='MixturePy', packages=find_packages(), - version='0.6.0', + version='0.7.0', description='rig', executables=executables, options=options diff --git a/cellines.ipynb b/cellines.ipynb index 48e9079..5779419 100644 --- a/cellines.ipynb +++ b/cellines.ipynb @@ -4,7 +4,19 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'rpy2'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrobjects\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mrobjects\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrobjects\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mpandas2ri\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mreadRDS\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrobjects\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mr\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'readRDS'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrobjects\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconversion\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mlocalconverter\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'rpy2'" + ] + } + ], "source": [ "import rpy2\n", "import rpy2.robjects as robjects\n", @@ -18379,7 +18391,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.8" + "version": "3.7.0" } }, "nbformat": 4, From 3de1851cd8acafa16740f1ecdf52af1089aa201b Mon Sep 17 00:00:00 2001 From: Matias Miranda Date: Fri, 25 Oct 2019 17:24:30 -0300 Subject: [PATCH 28/52] Fix auto web browser bdist --- 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a/app/server.py b/app/server.py index 6a18053..6104b81 100644 --- a/app/server.py +++ b/app/server.py @@ -1,5 +1,11 @@ -from waitress import serve +import webbrowser +from waitress import serve from app import server +from threading import Timer + +def open_browser(): + webbrowser.open_new('http://127.0.0.1:8082/') -serve(server) \ No newline at end of file +Timer(1, open_browser).start() +serve(server, port=8082, host='127.0.0.1') \ No newline at end of file From 575388a3a93abec748f4f3c30b2e9253893a3164 Mon Sep 17 00:00:00 2001 From: Matias Miranda Date: Thu, 21 Nov 2019 18:11:20 -0300 Subject: [PATCH 29/52] Validate Ms --- app/__pycache__/app.cpython-37.pyc | Bin 10289 -> 339 bytes app/app.py | 481 +----------------- app/assets/css/main.css | 76 ++- app/assets/img/logo.svg | 2 +- app/main.py | 82 +++ app/old_app.py | 435 ++++++++++++++++ app/pages/__init__.py | 0 app/pages/__pycache__/__init__.cpython-37.pyc | Bin 0 -> 151 bytes app/pages/__pycache__/index.cpython-37.pyc | Bin 0 -> 9105 bytes app/pages/__pycache__/validate.cpython-37.pyc | Bin 0 -> 4976 bytes app/pages/index.py | 389 ++++++++++++++ app/pages/validate.py | 220 ++++++++ app/server.py | 2 +- 13 files changed, 1205 insertions(+), 482 deletions(-) create mode 100644 app/main.py create mode 100644 app/old_app.py create mode 100644 app/pages/__init__.py create mode 100644 app/pages/__pycache__/__init__.cpython-37.pyc create mode 100644 app/pages/__pycache__/index.cpython-37.pyc create mode 100644 app/pages/__pycache__/validate.cpython-37.pyc create mode 100644 app/pages/index.py create mode 100644 app/pages/validate.py diff --git a/app/__pycache__/app.cpython-37.pyc b/app/__pycache__/app.cpython-37.pyc index 33994f9911741d34d859aca2ad85008546795ca1..189036da48a08bbb2d953c6e23c1d6c1e1d53cb3 100644 GIT binary patch delta 204 zcmdlOaG5E=iIOl8Po zN@Y%EOkwV2iegD+$zqLSO##tt@$4y#!3>(LFM)a({3f4d(NWiAyd{!aQIcAemzWb@ zTvC~nTAY!ZT2dUM$#IJ%C9yc8hzY3n*5uWyGMu;AlJoP@GShEO{>~!Hxsss> literal 10289 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b/app/app.py index 06db7a0..d2cffc3 100755 --- a/app/app.py +++ b/app/app.py @@ -1,484 +1,7 @@ -#! /usr/bin/env python3 - -import base64 -import datetime -import io -import Mixture -import multiprocessing -import sys -import os -import webbrowser - -import numpy as np - - import dash -from dash.dependencies import Input, Output, State -import dash_core_components as dcc -import dash_html_components as html -import dash_table as dt -from flask import send_file -import plotly.graph_objects as go - -from threading import Timer - -import pandas as pd - -expression = '' -filename_expression = '' -result = '' -pValues = '' -tableMetrics = '' - -cores = 4 -output = '' external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] -#app = dash.Dash(__name__, external_stylesheets=external_stylesheets) -app = dash.Dash(__name__) +app = dash.Dash(__name__, external_stylesheets=external_stylesheets) server = app.server -app.config['suppress_callback_exceptions'] = True -app.css.config.serve_locally = True - - -urlCss = 'assets/css/main.css' -urlLogo = 'assets/img/logo.svg' -urlTil10 = 'data/TIL10_signature.xlsx' -urlLm22 = 'data/LM22Signature.xlsx' - -def find_data_file(filename): - if getattr(sys, 'frozen', False): - # The application is frozen - datadir = os.path.dirname(sys.executable) - else: - # The application is not frozen - # Change this bit to match where you store your data files: - datadir = os.path.dirname(__file__) - return os.path.join(datadir, filename) - -styleSheetFile =open(find_data_file(urlCss), "r") -logoFile = open(find_data_file(urlLogo), "r") - -app.index_string = ''' - - - - {%metas%} - {%title%} - {%favicon%} - {%css%} - - - - ''' + str(logoFile.read()) + ''' - {%app_entry%} -
- {%config%} - {%scripts%} - {%renderer%} -
- - -''' - -app.title = 'MixturePy' - -app.layout = html.Div([ - html.Div([ - html.H6('an improved algorithm for immune tumor microenvironment estimation based on gene expression data', style = { - 'margin-top': '-10px' - }) - ]), - html.Div([ - html.Div([ - html.P('Expression file:'), - dcc.Upload( - id='upload-data', - children=html.Div([ - 'Drag and Drop or ', - html.A('Select File') - ]), style={ - 'width': '100%', - 'height': '60px', - 'lineHeight': '60px', - 'borderWidth': '1px', - 'borderStyle': 'dashed', - 'borderRadius': '5px', - 'textAlign': 'center', - 'margin': '10px' - }, - # Allow multiple files to be uploaded - multiple=True - ), - dcc.Loading(id="loading-1", children=[html.Div(id="loading-output-1")], type="default"), - html.P('Signature Data:'), - dcc.Dropdown( - id='signature-input', - options=[ - {'label': 'LM22', 'value': 'LM22'}, - {'label': 'TIL10', 'value': 'TIL10'}, - ], - value='LM22' - ), - html.P('Number of permutation samples:', style={ - 'margin-top': '10px' - }), - dcc.Input( - id='population-input', - placeholder='Enter a value...', - type='number', - min='0', - value='0' - ), - html.P('CPUs:', style={ - 'margin-top': '10px' - }), - dcc.Slider( - id='cpu-slider', - min=1, - max=multiprocessing.cpu_count(), - step=1, - marks={i: '{}'.format(i) for i in range(multiprocessing.cpu_count()+1)}, - value=multiprocessing.cpu_count() - ), - html.Button('Submit', id='button', style = { - 'margin-top': '30px' - }) - ], style={ - '-webkit-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', - '-moz-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', - 'box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', - 'margin': '0px', - 'background-color': '#FFFFFF', - 'padding': '20px', - 'border-radius': '5px', - 'max-width': '20vw' - }), - html.Div([ - html.Div(id='output-processing'), - dcc.Loading(id='loading-2', children=[html.Div(id='loading-output-2')], type='default') - ], style={ - '-webkit-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', - '-moz-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', - 'box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', - 'margin': '0px', - 'margin-left': '10px', - 'background-color': '#FFFFFF', - 'padding': '20px', - 'border-radius': '5px', - 'width': '80vw', - 'max-width': '80vw' - }) - ], style = { - 'width':'100%', - 'height':'100%', - 'margin': '0px', - 'padding': '0px', - 'display': 'flex', - 'flex-direction': 'row' -}) -], style = { - 'width':'100%', - 'height':'100%', - 'display': '-webkit-flex', - '-webkit-flex-direction': 'column', - 'display': 'flex', - 'flex-direction': 'column', - 'margin': '0px', - 'padding': '0px', - 'background-color': '#F7F7F7', -}) - -@app.callback(Output('tabs-content', 'children'), - [Input('tabs', 'value')]) -def render_content1(tab): - global result - count = len(result.Subjects[0].MIXprop[0]) - if tab == 'tab-1': - xLabel = result.Subjects[0].MIXprop[0].index - columns = result.Subjects[0].MIXprop[0].columns - return html.Div([ - html.H3('Bar Plot Subject-Proportions'), - dcc.Graph( - id='graph-1-tabs', - figure=go.Figure( - data=[go.Bar(x=xLabel, y=[result.Subjects[0].MIXprop[0].iloc[j].values[i] for j in range(count)], name = columns[i]) for i in range(len(columns))], - layout=go.Layout( - barmode='relative', - title_text='Bar Plot', - height=700, - xaxis=dict(tickangle=-90, automargin= True) - ) - ) - ) - ]) - elif tab == 'tab-2': - items = [result.Subjects[0].MIXprop[0].iloc[j].values for j in range(len(result.Subjects[0].MIXprop[0]))] - return html.Div([ - html.H3('Heatmaps of estimated cell-type proportion values'), - dcc.Graph( - id='graph-2', - figure=go.Figure(data=go.Heatmap( - z=np.transpose(items), - x=result.Subjects[0].MIXprop[0].index, - y=result.Subjects[0].MIXprop[0].columns, - colorscale= [ - [0.0, 'rgb(255,255,255)'], - [1.0, 'rgb(255,0,0)'] - ] - ), - layout=go.Layout( - height=700, - xaxis=dict(tickangle=-90, automargin= True) - ) - ) - ) - ]) - elif tab == 'tab-3': - mean = np.mean(result.Subjects[0].ACCmetrix[0].IscBySbj.values) - std = np.std(result.Subjects[0].ACCmetrix[0].IscBySbj.values) - return html.Div([ - html.H3('Immuno Content Score (Population Based)'), - dcc.Graph( - id='graph-2', - figure=go.Figure( - data=[go.Scatter( - x=result.Subjects[0].ACCmetrix[0].index, - y=result.Subjects[0].ACCmetrix[0].IscBySbj.values, - mode='markers' - )], - layout=go.Layout( - shapes=[ - go.layout.Shape( - type="line", - x0=-1, - y0=mean, - x1=count, - y1=mean, - line=dict( - color="red", - width=2, - dash="dashdot", - ), - ), - go.layout.Shape( - type="line", - x0=-1, - y0=(mean+2*std), - x1=count, - y1=(mean+2*std), - line=dict( - color="blue", - width=2, - dash="dashdot", - ), - ), - go.layout.Shape( - type="line", - x0=-1, - y0=(mean-2*std), - x1=count, - y1=(mean-2*std), - line=dict( - color="blue", - width=2, - dash="dashdot", - ), - ) - ], - height=700, - xaxis=dict(tickangle=-90, automargin= True) - ) - ) - ) - ]) - -@app.callback(Output('tabs2-content', 'children'), - [Input('tabs2', 'value')]) -def render_content2(tab): - if tab == 'tab2-1': - return html.Div([ - html.H4('Finished Process'), - html.A('Download result', href='/download_result/') - ]) - elif tab == 'tab2-2': - return html.Div([ - dcc.Tabs(id='tabs3', value='tab3-1', children=[ - dcc.Tab(label='Absolute', value='tab3-1'), - dcc.Tab(label='Proportions', value='tab3-2'), - dcc.Tab(label='Metrics', value='tab3-3'), - ]), - dt.DataTable(id='tabs3-content', style_table={'overflowX': 'scroll'}) - ]) - elif tab == 'tab2-3': - return html.Div([ - dcc.Tabs(id='tabs', value='tab-1', children=[ - dcc.Tab(label='Bar Plot', value='tab-1'), - dcc.Tab(label='Heatmaps', value='tab-2'), - dcc.Tab(label='Immuno Content Score', value='tab-3'), - ]), - html.Div(id='tabs-content') - ]) - -@app.callback([Output('tabs3-content', 'data'), Output('tabs3-content', 'columns')], - [Input('tabs3', 'value')]) -def update_data(tab): - global result - absolute = result.Subjects[0].MIXabs[0].reset_index() - proportions = result.Subjects[0].MIXprop[0].reset_index() - metrics = result.Subjects[0].ACCmetrix[0].reset_index() - if tab == 'tab3-1': - return [absolute.to_dict('records'), [{"name": i, "id": i} for i in absolute.columns]] - elif tab == 'tab3-2': - return [proportions.to_dict('records'), [{"name": i, "id": i} for i in proportions.columns]] - elif tab == 'tab3-3': - return [metrics.to_dict('records'), [{"name": i, "id": i} for i in metrics.columns]] - -def parse_contents(contents, filename, date): - content_type, content_string = contents.split(',') - - global expression, filename_expression - - decoded = base64.b64decode(content_string) - try: - if 'csv' in filename: - # Assume that the user uploaded a CSV file - df = pd.read_csv( - io.StringIO(decoded.decode('utf-8'))) - elif 'xls' in filename or 'xlsx' in filename: - # Assume that the user uploaded an excel file - #df = pd.read_excel(io.BytesIO(decoded), sheet_name = 0) - expression = io.BytesIO(decoded) - - except Exception as e: - print(e) - return html.Div([ - 'There was an error processing this file.' - ]) - - #df_expression = df - - filename_expression = filename - - return html.Div([ - html.P('Selected:' + filename), - #html.H6(datetime.datetime.fromtimestamp(date)), - - #dash_table.DataTable( - # data=df.to_dict('records'), - # columns=[{'name': i, 'id': i} for i in df.columns] - #), - - #html.Hr(), # horizontal line - - # For debugging, display the raw contents provided by the web browser - #html.Div('Raw Content'), - #html.Pre(contents[0:200] + '...', style={ - # 'whiteSpace': 'pre-wrap', - # 'wordBreak': 'break-all' - #}) - ]) - - -@app.callback(Output('loading-output-1', 'children'), - [Input('upload-data', 'contents')], - [State('upload-data', 'filename'), - State('upload-data', 'last_modified')]) -def update_output(list_of_contents, list_of_names, list_of_dates): - if list_of_contents is not None: - children = [ - parse_contents(c, n, d) for c, n, d in - zip(list_of_contents, list_of_names, list_of_dates)] - return children - -@app.callback( - Output("loading-output-2", "children"), - [dash.dependencies.Input('button', 'n_clicks')], - [dash.dependencies.State('signature-input', 'value'), - dash.dependencies.State('cpu-slider', 'value'), - dash.dependencies.State('population-input', 'value')]) -def update_output(n_clicks, signature, cpu, population): - - global expression, result, pValues, tableMetrics, urlLm22, urlTil10 - - if n_clicks is not None: - - if signature == 'LM22': - X = pd.read_excel(find_data_file(urlLm22), sheet_name = 0) - elif signature == 'TIL10': - X = pd.read_excel(find_data_file(urlTil10), sheet_name = 0) - - Y = pd.read_excel(expression, sheet_name = 0) - - #if __name__ == '__main__': - #if __name__ == 'app': - if True: - result, pValues = Mixture.Mixture(X, Y , cpu, int(population), '') - - metrics = result.Subjects[0].ACCmetrix[0].reset_index() - - children = [ - dcc.Tabs(id='tabs2', value='tab2-1', children=[ - dcc.Tab(label='Download', value='tab2-1'), - dcc.Tab(label='Tables', value='tab2-2'), - dcc.Tab(label='Plots', value='tab2-3'), - ]), - html.Div(id='tabs2-content') - ] - - return children - -@app.server.route('/download_result/') -def download_excel (): - - global result, pValues, filename_expression - - strIO = io.BytesIO() - excel_writer = pd.ExcelWriter(strIO, engine="xlsxwriter") - result.Subjects[0].MIXabs[0].to_excel(excel_writer, sheet_name='Absolute') - result.Subjects[0].MIXprop[0].to_excel(excel_writer, sheet_name='Proportions') - result.Subjects[0].ACCmetrix[0].to_excel(excel_writer, sheet_name='Metrics') - if pValues is not None: - pValues.to_excel(excel_writer, sheet_name='Pvalues') - result.usedGenes[0].to_excel(excel_writer, sheet_name='UsedGenes', index=False) - excel_writer.save() - excel_data = strIO.getvalue() - strIO.seek(0) - - return send_file(strIO, attachment_filename='result_' + filename_expression, as_attachment=True) - -#@app.callback( -# dash.dependencies.Output('button', 'style'), -# [dash.dependencies.Input('button', 'n_clicks'), -# Input('upload-data', 'contents')]) -#def update_output_hidden_button(n_clicks, contents): -# if n_clicks is not None: -# return {'display': 'none'} -# if contents is not None: -# return {'display': 'block'} - -@app.callback( - dash.dependencies.Output('output-processing', 'children'), - [dash.dependencies.Input('button', 'n_clicks')], - [dash.dependencies.State('signature-input', 'value'), - dash.dependencies.State('population-input', 'value')]) -def input_triggers_spinner_2(value, signature, population): - if value is not None: - children = [ - #html.P('Processing data...', style = { - # 'margin-top': '10px' - #}), - #html.P('Signature: ' + str(signature), style = { - # 'margin-top': '10px' - #}), - #html.P('Population based : ' + str(population), style = { - # 'margin-top': '10px' - #}) - ] - #return children - -if __name__ == '__main__': - app.run_server(debug=False, port=8082, host='127.0.0.1') \ No newline at end of file +app.config.suppress_callback_exceptions = True \ No newline at end of file diff --git a/app/assets/css/main.css b/app/assets/css/main.css index b249e9a..ab0db9e 100644 --- a/app/assets/css/main.css +++ b/app/assets/css/main.css @@ -413,4 +413,78 @@ there. @media (min-width: 1000px) {} /* Larger than Desktop HD */ -@media (min-width: 1200px) {} \ No newline at end of file +@media (min-width: 1200px) {} + +.logo { + width: 200px; +} + +header { + display: -webkit-flex; /* Safari */ + display: flex; +} + +nav { + margin-left: 20px; + margin-top: -20px; +} + +nav ul { + display: flex; + justify-content: space-around; + list-style-type: none; +} + +.navigation { + list-style: none; + margin: 0; + + display: -webkit-box; + display: -moz-box; + display: -ms-flexbox; + display: -webkit-flex; + display: flex; + + justify-content: flex-end; +} + +.navigation a { + text-decoration: none; + border-left: #333 1px solid; + display: block; + margin-top: 40px; + padding-left: 20px; + padding-right: 20px; + color: black; +} + +#check_celllines input[type="checkbox"] { + -webkit-appearance: none; + background-color: #fafafa; + border: 1px solid #cacece; + box-shadow: 0 1px 2px rgba(0,0,0,0.05), inset 0px -15px 10px -12px rgba(0,0,0,0.05); + padding: 9px; + border-radius: 3px; + display: inline-block; + position: relative; +} + +#check_celllines input[type="checkbox"]:active, #check_celllines input[type="checkbox"]:checked:active { + box-shadow: 0 1px 2px rgba(0,0,0,0.05), inset 0px 1px 3px rgba(0,0,0,0.1); +} + +#check_celllines input[type="checkbox"]:checked { + background-color: #33C3F0; + border: 1px solid #555; + box-shadow: 0 1px 2px rgba(0,0,0,0.05), inset 0px -15px 10px -12px rgba(0,0,0,0.05), inset 15px 10px -12px rgba(255,255,255,0.1); + color: #33C3F0; +} + +#check_celllines input[type="checkbox"]:checked:after { + content: '\2714'; + font-size: 14px; + position: absolute; + top: 0px; + left: 3px; + color:#ffffff; +} \ No newline at end of file diff --git a/app/assets/img/logo.svg b/app/assets/img/logo.svg index d9871e1..3395241 100644 --- a/app/assets/img/logo.svg +++ b/app/assets/img/logo.svg @@ -1 +1 @@ - \ No newline at end of file + \ No newline at end of file diff --git a/app/main.py b/app/main.py new file mode 100644 index 0000000..480f6d5 --- /dev/null +++ b/app/main.py @@ -0,0 +1,82 @@ +import sys +import os + +import dash_core_components as dcc +import dash_html_components as html +from dash.dependencies import Input, Output + +from app import app +from pages import index, validate + +app.layout = html.Div([ + dcc.Location(id='url', refresh=False), + html.Div(id='page-content') +]) + +server = app.server +app.config['suppress_callback_exceptions'] = True +app.css.config.serve_locally = True + +urlCss = 'assets/css/main.css' +urlLogo = 'assets/img/logo.svg' + +def find_data_file(filename): + if getattr(sys, 'frozen', False): + # The application is frozen + datadir = os.path.dirname(sys.executable) + else: + # The application is not frozen + # Change this bit to match where you store your data files: + datadir = os.path.dirname(__file__) + return os.path.join(datadir, filename) + +styleSheetFile =open(find_data_file(urlCss), "r") +logoFile = open(find_data_file(urlLogo), "r") + +app.index_string = ''' + + + + {%metas%} + {%title%} + {%favicon%} + {%css%} + + + +
+ {%app_entry%} +
+ {%config%} + {%scripts%} + {%renderer%} +
+ + +''' + +app.title = 'MixturePy' + + +@app.callback(Output('page-content', 'children'), + [Input('url', 'pathname')]) +def display_page(pathname): + if pathname == '/': + return index.layout + elif pathname == '/validate': + return validate.layout + else: + return '404' + +if __name__ == '__main__': + app.run_server(debug=True) \ No newline at end of file diff --git a/app/old_app.py b/app/old_app.py new file mode 100644 index 0000000..ddab710 --- /dev/null +++ b/app/old_app.py @@ -0,0 +1,435 @@ +#! /usr/bin/env python3 + +import base64 +import datetime +import io +import Mixture +import multiprocessing +import sys +import os +import webbrowser + +import numpy as np + + +import dash +from dash.dependencies import Input, Output, State +import dash_core_components as dcc +import dash_html_components as html +import dash_table as dt +from flask import send_file +import plotly.graph_objects as go + +from threading import Timer + +import pandas as pd + +expression = '' +filename_expression = '' +result = '' +pValues = '' +tableMetrics = '' + +cores = 4 +output = '' + +external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] + +#app = dash.Dash(__name__, external_stylesheets=external_stylesheets) +app = dash.Dash(__name__) +server = app.server +app.config['suppress_callback_exceptions'] = True +app.css.config.serve_locally = True + + +urlCss = 'assets/css/main.css' +urlLogo = 'assets/img/logo.svg' +urlTil10 = 'data/TIL10_signature.xlsx' +urlLm22 = 'data/LM22Signature.xlsx' + +def find_data_file(filename): + if getattr(sys, 'frozen', False): + # The application is frozen + datadir = os.path.dirname(sys.executable) + else: + # The application is not frozen + # Change this bit to match where you store your data files: + datadir = os.path.dirname(__file__) + return os.path.join(datadir, filename) + +styleSheetFile =open(find_data_file(urlCss), "r") +logoFile = open(find_data_file(urlLogo), "r") + +app.index_string = ''' + + + + {%metas%} + {%title%} + {%favicon%} + {%css%} + + + + ''' + str(logoFile.read()) + ''' + {%app_entry%} +
+ {%config%} + {%scripts%} + {%renderer%} +
+ + +''' + +app.title = 'MixturePy' + +app.layout = html.Div([ + html.Div([ + html.H6('an improved algorithm for immune tumor microenvironment estimation based on gene expression data', style = { + 'margin-top': '-10px' + }) + ]), + html.Div([ + html.Div([ + html.P('Expression file:'), + dcc.Upload( + id='upload-data', + children=html.Div([ + 'Drag and Drop or ', + html.A('Select File') + ]), style={ + 'width': '100%', + 'height': '60px', + 'lineHeight': '60px', + 'borderWidth': '1px', + 'borderStyle': 'dashed', + 'borderRadius': '5px', + 'textAlign': 'center', + 'margin': '10px' + }, + # Allow multiple files to be uploaded + multiple=True + ), + dcc.Loading(id="loading-1", children=[html.Div(id="loading-output-1")], type="default"), + html.P('Signature Data:'), + dcc.Dropdown( + id='signature-input', + options=[ + {'label': 'LM22', 'value': 'LM22'}, + {'label': 'TIL10', 'value': 'TIL10'}, + ], + value='LM22' + ), + html.P('Number of permutation samples:', style={ + 'margin-top': '10px' + }), + dcc.Input( + id='population-input', + placeholder='Enter a value...', + type='number', + min='0', + value='0' + ), + html.P('CPUs:', style={ + 'margin-top': '10px' + }), + dcc.Slider( + id='cpu-slider', + min=1, + max=multiprocessing.cpu_count(), + step=1, + marks={i: '{}'.format(i) for i in range(multiprocessing.cpu_count()+1)}, + value=multiprocessing.cpu_count() + ), + html.Button('Submit', id='button', style = { + 'margin-top': '30px' + }) + ], style={ + '-webkit-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + '-moz-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'margin': '0px', + 'background-color': '#FFFFFF', + 'padding': '20px', + 'border-radius': '5px', + 'max-width': '20vw' + }), + html.Div([ + html.Div(id='output-processing'), + dcc.Loading(id='loading-2', children=[html.Div(id='loading-output-2')], type='default') + ], style={ + '-webkit-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + '-moz-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'margin': '0px', + 'margin-left': '10px', + 'background-color': '#FFFFFF', + 'padding': '20px', + 'border-radius': '5px', + 'width': '80vw', + 'max-width': '80vw' + }) + ], style = { + 'width':'100%', + 'height':'100%', + 'margin': '0px', + 'padding': '0px', + 'display': 'flex', + 'flex-direction': 'row' +}) +], style = { + 'width':'100%', + 'height':'100%', + 'display': '-webkit-flex', + '-webkit-flex-direction': 'column', + 'display': 'flex', + 'flex-direction': 'column', + 'margin': '0px', + 'padding': '0px', + 'background-color': '#F7F7F7', +}) + +@app.callback(Output('tabs-content', 'children'), + [Input('tabs', 'value')]) +def render_content1(tab): + global result + count = len(result.Subjects[0].MIXprop[0]) + if tab == 'tab-1': + xLabel = result.Subjects[0].MIXprop[0].index + columns = result.Subjects[0].MIXprop[0].columns + return html.Div([ + html.H3('Bar Plot Subject-Proportions'), + dcc.Graph( + id='graph-1-tabs', + figure=go.Figure( + data=[go.Bar(x=xLabel, y=[result.Subjects[0].MIXprop[0].iloc[j].values[i] for j in range(count)], name = columns[i]) for i in range(len(columns))], + layout=go.Layout( + barmode='relative', + title_text='Bar Plot', + height=700, + xaxis=dict(tickangle=-90, automargin= True) + ) + ) + ) + ]) + elif tab == 'tab-2': + items = [result.Subjects[0].MIXprop[0].iloc[j].values for j in range(len(result.Subjects[0].MIXprop[0]))] + return html.Div([ + html.H3('Heatmaps of estimated cell-type proportion values'), + dcc.Graph( + id='graph-2', + figure=go.Figure(data=go.Heatmap( + z=np.transpose(items), + x=result.Subjects[0].MIXprop[0].index, + y=result.Subjects[0].MIXprop[0].columns, + colorscale= [ + [0.0, 'rgb(255,255,255)'], + [1.0, 'rgb(255,0,0)'] + ] + ), + layout=go.Layout( + height=700, + xaxis=dict(tickangle=-90, automargin= True) + ) + ) + ) + ]) + elif tab == 'tab-3': + mean = np.mean(result.Subjects[0].ACCmetrix[0].IscBySbj.values) + std = np.std(result.Subjects[0].ACCmetrix[0].IscBySbj.values) + return html.Div([ + html.H3('Immuno Content Score (Population Based)'), + dcc.Graph( + id='graph-2', + figure=go.Figure( + data=[go.Scatter( + x=result.Subjects[0].ACCmetrix[0].index, + y=result.Subjects[0].ACCmetrix[0].IscBySbj.values, + mode='markers' + )], + layout=go.Layout( + shapes=[ + go.layout.Shape( + type="line", + x0=-1, + y0=mean, + x1=count, + y1=mean, + line=dict( + color="red", + width=2, + dash="dashdot", + ), + ), + go.layout.Shape( + type="line", + x0=-1, + y0=(mean+2*std), + x1=count, + y1=(mean+2*std), + line=dict( + color="blue", + width=2, + dash="dashdot", + ), + ), + go.layout.Shape( + type="line", + x0=-1, + y0=(mean-2*std), + x1=count, + y1=(mean-2*std), + line=dict( + color="blue", + width=2, + dash="dashdot", + ), + ) + ], + height=700, + xaxis=dict(tickangle=-90, automargin= True) + ) + ) + ) + ]) + +@app.callback(Output('tabs2-content', 'children'), + [Input('tabs2', 'value')]) +def render_content2(tab): + if tab == 'tab2-1': + return html.Div([ + html.H4('Finished Process'), + html.A('Download result', href='/download_result/') + ]) + elif tab == 'tab2-2': + return html.Div([ + dcc.Tabs(id='tabs3', value='tab3-1', children=[ + dcc.Tab(label='Absolute', value='tab3-1'), + dcc.Tab(label='Proportions', value='tab3-2'), + dcc.Tab(label='Metrics', value='tab3-3'), + ]), + dt.DataTable(id='tabs3-content', style_table={'overflowX': 'scroll'}) + ]) + elif tab == 'tab2-3': + return html.Div([ + dcc.Tabs(id='tabs', value='tab-1', children=[ + dcc.Tab(label='Bar Plot', value='tab-1'), + dcc.Tab(label='Heatmaps', value='tab-2'), + dcc.Tab(label='Immuno Content Score', value='tab-3'), + ]), + html.Div(id='tabs-content') + ]) + +@app.callback([Output('tabs3-content', 'data'), Output('tabs3-content', 'columns')], + [Input('tabs3', 'value')]) +def update_data(tab): + global result + absolute = result.Subjects[0].MIXabs[0].reset_index() + proportions = result.Subjects[0].MIXprop[0].reset_index() + metrics = result.Subjects[0].ACCmetrix[0].reset_index() + if tab == 'tab3-1': + return [absolute.to_dict('records'), [{"name": i, "id": i} for i in absolute.columns]] + elif tab == 'tab3-2': + return [proportions.to_dict('records'), [{"name": i, "id": i} for i in proportions.columns]] + elif tab == 'tab3-3': + return [metrics.to_dict('records'), [{"name": i, "id": i} for i in metrics.columns]] + +def parse_contents(contents, filename, date): + content_type, content_string = contents.split(',') + + global expression, filename_expression + + decoded = base64.b64decode(content_string) + try: + if 'csv' in filename: + # Assume that the user uploaded a CSV file + df = pd.read_csv( + io.StringIO(decoded.decode('utf-8'))) + elif 'xls' in filename or 'xlsx' in filename: + # Assume that the user uploaded an excel file + expression = io.BytesIO(decoded) + + except Exception as e: + print(e) + return html.Div([ + 'There was an error processing this file.' + ]) + filename_expression = filename + + return html.Div([ + html.P('Selected:' + filename) + ]) + + +@app.callback(Output('loading-output-1', 'children'), + [Input('upload-data', 'contents')], + [State('upload-data', 'filename'), + State('upload-data', 'last_modified')]) +def update_output(list_of_contents, list_of_names, list_of_dates): + if list_of_contents is not None: + children = [ + parse_contents(c, n, d) for c, n, d in + zip(list_of_contents, list_of_names, list_of_dates)] + return children + +@app.callback( + Output("loading-output-2", "children"), + [dash.dependencies.Input('button', 'n_clicks')], + [dash.dependencies.State('signature-input', 'value'), + dash.dependencies.State('cpu-slider', 'value'), + dash.dependencies.State('population-input', 'value')]) +def update_output(n_clicks, signature, cpu, population): + + global expression, result, pValues, tableMetrics, urlLm22, urlTil10 + + if n_clicks is not None: + + if signature == 'LM22': + X = pd.read_excel(find_data_file(urlLm22), sheet_name = 0) + elif signature == 'TIL10': + X = pd.read_excel(find_data_file(urlTil10), sheet_name = 0) + + Y = pd.read_excel(expression, sheet_name = 0) + + #if __name__ == '__main__': + #if __name__ == 'app': + if True: + result, pValues = Mixture.Mixture(X, Y , cpu, int(population), '') + + metrics = result.Subjects[0].ACCmetrix[0].reset_index() + + children = [ + dcc.Tabs(id='tabs2', value='tab2-1', children=[ + dcc.Tab(label='Download', value='tab2-1'), + dcc.Tab(label='Tables', value='tab2-2'), + dcc.Tab(label='Plots', value='tab2-3'), + ]), + html.Div(id='tabs2-content') + ] + + return children + +@app.server.route('/download_result/') +def download_excel (): + + global result, pValues, filename_expression + + strIO = io.BytesIO() + excel_writer = pd.ExcelWriter(strIO, engine="xlsxwriter") + result.Subjects[0].MIXabs[0].to_excel(excel_writer, sheet_name='Absolute') + 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dash.dependencies import Input, Output, State +import dash_core_components as dcc +import dash_html_components as html +import dash_table as dt +from flask import send_file +import plotly.graph_objects as go + +from threading import Timer + +import pandas as pd + +from app import app + +expression = '' +filename_expression = '' +result = '' +pValues = '' +tableMetrics = '' + +cores = 4 +output = '' + +urlTil10 = '../data/TIL10_signature.xlsx' +urlLm22 = '../data/LM22Signature.xlsx' + +def find_data_file(filename): + if getattr(sys, 'frozen', False): + # The application is frozen + datadir = os.path.dirname(sys.executable) + else: + # The application is not frozen + # Change this bit to match where you store your data files: + datadir = os.path.dirname(__file__) + return os.path.join(datadir, filename) + + +layout = html.Div([ + html.Div([ + html.Div([ + html.P('Expression file:'), + dcc.Upload( + id='upload-data', + children=html.Div([ + 'Drag and Drop or ', + html.A('Select File') + ]), style={ + 'width': '100%', + 'height': '60px', + 'lineHeight': '60px', + 'borderWidth': '1px', + 'borderStyle': 'dashed', + 'borderRadius': '5px', + 'textAlign': 'center', + 'margin': '10px' + }, + # Allow multiple files to be uploaded + multiple=True + ), + dcc.Loading(id="loading-1", children=[html.Div(id="loading-output-1")], type="default"), + html.P('Signature Data:'), + dcc.Dropdown( + id='signature-input', + options=[ + {'label': 'LM22', 'value': 'LM22'}, + {'label': 'TIL10', 'value': 'TIL10'}, + ], + value='LM22' + ), + html.P('Number of permutation samples:', style={ + 'margin-top': '10px' + }), + dcc.Input( + id='population-input', + placeholder='Enter a value...', + type='number', + min='0', + value='0' + ), + html.P('CPUs:', style={ + 'margin-top': '10px' + }), + dcc.Slider( + id='cpu-slider', + min=1, + max=multiprocessing.cpu_count(), + step=1, + marks={i: '{}'.format(i) for i in range(multiprocessing.cpu_count()+1)}, + value=multiprocessing.cpu_count() + ), + html.Button('Submit', id='button', style = { + 'margin-top': '30px' + }) + ], style={ + '-webkit-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + '-moz-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'margin': '0px', + 'background-color': '#FFFFFF', + 'padding': '20px', + 'border-radius': '5px', + 'max-width': '20vw' + }), + html.Div([ + html.Div(id='output-processing'), + dcc.Loading(id='loading-2', children=[html.Div(id='loading-output-2')], type='default') + ], style={ + '-webkit-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + '-moz-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'margin': '0px', + 'margin-left': '10px', + 'background-color': '#FFFFFF', + 'padding': '20px', + 'border-radius': '5px', + 'width': '80vw', + 'max-width': '80vw' + }) + ], style = { + 'width':'100%', + 'height':'100%', + 'margin': '0px', + 'padding': '0px', + 'display': 'flex', + 'flex-direction': 'row' +}) +], style = { + 'width':'100%', + 'height':'100%', + 'display': '-webkit-flex', + '-webkit-flex-direction': 'column', + 'display': 'flex', + 'flex-direction': 'column', + 'margin': '0px', + 'padding': '0px', + 'background-color': '#F7F7F7', +}) + +@app.callback(Output('tabs-content', 'children'), + [Input('tabs', 'value')]) +def render_content1(tab): + global result + count = len(result.Subjects[0].MIXprop[0]) + if tab == 'tab-1': + xLabel = result.Subjects[0].MIXprop[0].index + columns = result.Subjects[0].MIXprop[0].columns + return html.Div([ + html.H3('Bar Plot Subject-Proportions'), + dcc.Graph( + id='graph-1-tabs', + figure=go.Figure( + data=[go.Bar(x=xLabel, y=[result.Subjects[0].MIXprop[0].iloc[j].values[i] for j in range(count)], name = columns[i]) for i in range(len(columns))], + layout=go.Layout( + barmode='relative', + title_text='Bar Plot', + height=700, + xaxis=dict(tickangle=-90, automargin= True) + ) + ) + ) + ]) + elif tab == 'tab-2': + items = [result.Subjects[0].MIXprop[0].iloc[j].values for j in range(len(result.Subjects[0].MIXprop[0]))] + return html.Div([ + html.H3('Heatmaps of estimated cell-type proportion values'), + dcc.Graph( + id='graph-2', + figure=go.Figure(data=go.Heatmap( + z=np.transpose(items), + x=result.Subjects[0].MIXprop[0].index, + y=result.Subjects[0].MIXprop[0].columns, + colorscale= [ + [0.0, 'rgb(255,255,255)'], + [1.0, 'rgb(255,0,0)'] + ] + ), + layout=go.Layout( + height=700, + xaxis=dict(tickangle=-90, automargin= True) + ) + ) + ) + ]) + elif tab == 'tab-3': + mean = np.mean(result.Subjects[0].ACCmetrix[0].IscBySbj.values) + std = np.std(result.Subjects[0].ACCmetrix[0].IscBySbj.values) + return html.Div([ + html.H3('Immuno Content Score (Population Based)'), + dcc.Graph( + id='graph-2', + figure=go.Figure( + data=[go.Scatter( + x=result.Subjects[0].ACCmetrix[0].index, + y=result.Subjects[0].ACCmetrix[0].IscBySbj.values, + mode='markers' + )], + layout=go.Layout( + shapes=[ + go.layout.Shape( + type="line", + x0=-1, + y0=mean, + x1=count, + y1=mean, + line=dict( + color="red", + width=2, + dash="dashdot", + ), + ), + go.layout.Shape( + type="line", + x0=-1, + y0=(mean+2*std), + x1=count, + y1=(mean+2*std), + line=dict( + color="blue", + width=2, + dash="dashdot", + ), + ), + go.layout.Shape( + type="line", + x0=-1, + y0=(mean-2*std), + x1=count, + y1=(mean-2*std), + line=dict( + color="blue", + width=2, + dash="dashdot", + ), + ) + ], + height=700, + xaxis=dict(tickangle=-90, automargin= True) + ) + ) + ) + ]) + +@app.callback(Output('tabs2-content', 'children'), + [Input('tabs2', 'value')]) +def render_content2(tab): + if tab == 'tab2-1': + return html.Div([ + html.H4('Finished Process'), + html.A('Download result', href='/download_result/') + ]) + elif tab == 'tab2-2': + return html.Div([ + dcc.Tabs(id='tabs3', value='tab3-1', children=[ + dcc.Tab(label='Absolute', value='tab3-1'), + dcc.Tab(label='Proportions', value='tab3-2'), + dcc.Tab(label='Metrics', value='tab3-3'), + ]), + dt.DataTable(id='tabs3-content', style_table={'overflowX': 'scroll'}) + ]) + elif tab == 'tab2-3': + return html.Div([ + dcc.Tabs(id='tabs', value='tab-1', children=[ + dcc.Tab(label='Bar Plot', value='tab-1'), + dcc.Tab(label='Heatmaps', value='tab-2'), + dcc.Tab(label='Immuno Content Score', value='tab-3'), + ]), + html.Div(id='tabs-content') + ]) + +@app.callback([Output('tabs3-content', 'data'), Output('tabs3-content', 'columns')], + [Input('tabs3', 'value')]) +def update_data(tab): + global result + absolute = result.Subjects[0].MIXabs[0].reset_index() + proportions = result.Subjects[0].MIXprop[0].reset_index() + metrics = result.Subjects[0].ACCmetrix[0].reset_index() + if tab == 'tab3-1': + return [absolute.to_dict('records'), [{"name": i, "id": i} for i in absolute.columns]] + elif tab == 'tab3-2': + return [proportions.to_dict('records'), [{"name": i, "id": i} for i in proportions.columns]] + elif tab == 'tab3-3': + return [metrics.to_dict('records'), [{"name": i, "id": i} for i in metrics.columns]] + +def parse_contents(contents, filename, date): + content_type, content_string = contents.split(',') + + global expression, filename_expression + + decoded = base64.b64decode(content_string) + try: + if 'csv' in filename: + # Assume that the user uploaded a CSV file + df = pd.read_csv( + io.StringIO(decoded.decode('utf-8'))) + elif 'xls' in filename or 'xlsx' in filename: + # Assume that the user uploaded an excel file + expression = io.BytesIO(decoded) + + except Exception as e: + print(e) + return html.Div([ + 'There was an error processing this file.' + ]) + filename_expression = filename + + return html.Div([ + html.P('Selected:' + filename) + ]) + + +@app.callback(Output('loading-output-1', 'children'), + [Input('upload-data', 'contents')], + [State('upload-data', 'filename'), + State('upload-data', 'last_modified')]) +def update_output(list_of_contents, list_of_names, list_of_dates): + if list_of_contents is not None: + children = [ + parse_contents(c, n, d) for c, n, d in + zip(list_of_contents, list_of_names, list_of_dates)] + return children + +@app.callback( + Output("loading-output-2", "children"), + [dash.dependencies.Input('button', 'n_clicks')], + [dash.dependencies.State('signature-input', 'value'), + dash.dependencies.State('cpu-slider', 'value'), + dash.dependencies.State('population-input', 'value')]) +def update_output(n_clicks, signature, cpu, population): + + global expression, result, pValues, tableMetrics, urlLm22, urlTil10 + + if n_clicks is not None: + + if signature == 'LM22': + X = pd.read_excel(find_data_file(urlLm22), sheet_name = 0) + elif signature == 'TIL10': + X = pd.read_excel(find_data_file(urlTil10), sheet_name = 0) + + Y = pd.read_excel(expression, sheet_name = 0) + + #if __name__ == '__main__': + #if __name__ == 'app': + if True: + result, pValues = Mixture.Mixture(X, Y , cpu, int(population), '') + + metrics = result.Subjects[0].ACCmetrix[0].reset_index() + + children = [ + dcc.Tabs(id='tabs2', value='tab2-1', children=[ + dcc.Tab(label='Download', value='tab2-1'), + dcc.Tab(label='Tables', value='tab2-2'), + dcc.Tab(label='Plots', value='tab2-3'), + ]), + html.Div(id='tabs2-content') + ] + + return children + +@app.server.route('/download_result/') +def download_excel (): + + global result, pValues, filename_expression + + strIO = io.BytesIO() + excel_writer = pd.ExcelWriter(strIO, engine="xlsxwriter") + result.Subjects[0].MIXabs[0].to_excel(excel_writer, sheet_name='Absolute') + result.Subjects[0].MIXprop[0].to_excel(excel_writer, sheet_name='Proportions') + result.Subjects[0].ACCmetrix[0].to_excel(excel_writer, sheet_name='Metrics') + if pValues is not None: + pValues.to_excel(excel_writer, sheet_name='Pvalues') + result.usedGenes[0].to_excel(excel_writer, sheet_name='UsedGenes', index=False) + excel_writer.save() + excel_data = strIO.getvalue() + strIO.seek(0) + + return send_file(strIO, attachment_filename='result_' + filename_expression, as_attachment=True) diff --git a/app/pages/validate.py b/app/pages/validate.py new file mode 100644 index 0000000..36a77ea --- /dev/null +++ b/app/pages/validate.py @@ -0,0 +1,220 @@ +import base64 +import io +import dash +import Mixture +import multiprocessing + +import numpy as np +import pandas as pd + +from dash.dependencies import Input, Output, State +import dash_core_components as dcc +import dash_html_components as html +import dash_table as dt +from flask import send_file +import plotly.graph_objects as go + +from app import app + +signature = '' +filename_signature = '' +dataFrameSignature = '' + +layout = html.Div([ + html.Div([ + html.Div([ + html.P('Molecular Signature file:'), + dcc.Upload( + id='upload-data', + children=html.Div([ + 'Drag and Drop or ', + html.A('Select File') + ]), style={ + 'width': '100%', + 'height': '60px', + 'lineHeight': '60px', + 'borderWidth': '1px', + 'borderStyle': 'dashed', + 'borderRadius': '5px', + 'textAlign': 'center', + 'margin': '10px' + }, + # Allow multiple files to be uploaded + multiple=True + ), + dcc.Loading(id="loading-1", children=[html.Div(id="loading-output-msignature")], type="default"), + dcc.Checklist( + id="check_celllines", + options=[ + {'label': 'Use Cellines', 'value': 'cellines'}, + ], + value=['cellines'] + ), + html.P('CPUs:', style={ + 'margin-top': '20px' + }), + dcc.Slider( + id='cpu-slider', + min=1, + max=multiprocessing.cpu_count(), + step=1, + marks={i: '{}'.format(i) for i in range(multiprocessing.cpu_count()+1)}, + value=multiprocessing.cpu_count() + ), + html.Button('Submit', id='button_validate', style = { + 'margin-top': '30px' + }) + ], style={ + '-webkit-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + '-moz-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'margin': '0px', + 'background-color': '#FFFFFF', + 'padding': '20px', + 'border-radius': '5px', + 'width': '20vw', + 'max-width': '20vw' + }), + html.Div([ + html.Div(id='output-processing'), + dcc.Loading(id='loading-result', children=[html.Div(id='loading-output-result')], type='default') + ], style={ + '-webkit-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + '-moz-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'margin': '0px', + 'margin-left': '10px', + 'background-color': '#FFFFFF', + 'padding': '20px', + 'border-radius': '5px', + 'width': '80vw', + 'max-width': '80vw' + }) + ], style = { + 'width':'100%', + 'height':'100%', + 'margin': '0px', + 'padding': '0px', + 'display': 'flex', + 'flex-direction': 'row' +}) +], style = { + 'width':'100%', + 'height':'100%', + 'display': '-webkit-flex', + '-webkit-flex-direction': 'column', + 'display': 'flex', + 'flex-direction': 'column', + 'margin': '0px', + 'padding': '0px', + 'background-color': '#F7F7F7', +}) + +def parse_contents(contents, filename, date): + content_type, content_string = contents.split(',') + + global signature, filename_signature, dataFrameSignature + + decoded = base64.b64decode(content_string) + try: + if 'csv' in filename: + # Assume that the user uploaded a CSV file + dataFrameSignature = pd.read_csv( + io.StringIO(decoded.decode('utf-8'))) + elif 'xls' in filename or 'xlsx' in filename: + # Assume that the user uploaded an excel file + signature = io.BytesIO(decoded) + dataFrameSignature = pd.read_excel(signature, sheet_name = 0) + print(len(dataFrameSignature.columns)) + + except Exception as e: + print(e) + return html.Div([ + 'There was an error processing this file.' + ]) + filename_signature = filename + + return html.Div([ + html.P('Selected: ' + filename), + html.P('No se que label colocarle aca:', style={ + 'margin-top': '10px' + }), + dcc.RangeSlider( + id='lines_slider', + min=1, + max=len(dataFrameSignature.columns), + step=1, + # marks={i: '{}'.format(i) for i in range(len(dataFrameSignature.columns)+1)}, + marks={ + 1: '1', + round(len(dataFrameSignature.columns)/2): str(round(len(dataFrameSignature.columns)/2)), + len(dataFrameSignature.columns): str(len(dataFrameSignature.columns)) + }, + value=[round(len(dataFrameSignature.columns)*0.2), round(len(dataFrameSignature.columns)*0.75)] + ), + html.P(id='lines_slider_output', style={ + 'margin-top': '40px' + }) + ]) + + +@app.callback(Output('loading-output-msignature', 'children'), + [Input('upload-data', 'contents')], + [State('upload-data', 'filename'), + State('upload-data', 'last_modified')]) +def update_output(list_of_contents, list_of_names, list_of_dates): + if list_of_contents is not None: + children = [ + parse_contents(c, n, d) for c, n, d in + zip(list_of_contents, list_of_names, list_of_dates)] + return children + +@app.callback(Output('lines_slider_output', 'children'), + [Input('lines_slider', 'value')]) +def update_lines(lines_slider): + return 'Selected lines: from {} to {}'.format(lines_slider[0], lines_slider[1]) + +@app.callback( + Output("loading-output-result", "children"), + [dash.dependencies.Input('button_validate', 'n_clicks')], + [dash.dependencies.State('lines_slider', 'value'), + dash.dependencies.State('cpu-slider', 'value')]) +def update_output(n_clicks, lines, cpu): + + global signature, result, pValues, tableMetrics, urlLm22, urlTil10 + + if n_clicks is not None: + + X = dataFrameSignature + + Y = dataFrameSignature + + #if __name__ == '__main__': + #if __name__ == 'app': + if True: + result, pValues = Mixture.Mixture(X, Y , cpu, 0, '') + + metrics = result.Subjects[0].ACCmetrix[0].reset_index() + + children = [ + dcc.Tabs(id='tabs4', value='tab4-1', children=[ + dcc.Tab(label='Plots', value='tab4-1'), + ]), + html.Div(id='tabs4-content') + ] + + return children + +@app.callback(Output('tabs4-content', 'children'), + [Input('tabs4', 'value')]) +def render_content2(tab): + if tab == 'tab4-3': + return html.Div([ + dcc.Tabs(id='tabs5', value='tab5-1', children=[ + dcc.Tab(label='Breal - Bsim', value='tab5-1'), + dcc.Tab(label='Breal vs Bsim', value='tab5-2'), + dcc.Tab(label='Heatmaps', value='tab5-3'), + dcc.Tab(label='BoxPlot', value='tab5-4'), + ]), + html.Div(id='tabs-content') + ]) \ No newline at end of file diff --git a/app/server.py b/app/server.py index 6104b81..08110ae 100644 --- a/app/server.py +++ b/app/server.py @@ -1,7 +1,7 @@ import webbrowser from waitress import serve -from app import server +from main import server from threading import Timer def open_browser(): From cef1fe6f771f66ffe475ef49b1e527053e373d26 Mon Sep 17 00:00:00 2001 From: Matias Miranda Date: Thu, 21 Nov 2019 23:54:14 -0300 Subject: [PATCH 30/52] finish plots validate --- NewmanFL TIL10.ipynb | 256 +- Test Beta List.ipynb | 160 +- Test Dash.ipynb | 3630 ++++++++++++++++- app/__pycache__/app.cpython-37.pyc | Bin 339 -> 339 bytes app/pages/__pycache__/__init__.cpython-37.pyc | Bin 151 -> 151 bytes app/pages/__pycache__/index.cpython-37.pyc | Bin 9105 -> 9105 bytes app/pages/__pycache__/validate.cpython-37.pyc | Bin 4976 -> 9353 bytes app/pages/validate.py | 217 +- 8 files changed, 3898 insertions(+), 365 deletions(-) diff --git a/NewmanFL TIL10.ipynb b/NewmanFL TIL10.ipynb index 8859dfc..0a33b39 100644 --- a/NewmanFL TIL10.ipynb +++ b/NewmanFL TIL10.ipynb @@ -2,117 +2,16 @@ "cells": [ { "cell_type": "code", - "execution_count": 35, + "execution_count": 1, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "ERROR:root:Internal Python error in the inspect module.\n", - "Below is the traceback from this internal error.\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Traceback (most recent call last):\n", - " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py\", line 3326, in run_code\n", - " exec(code_obj, self.user_global_ns, self.user_ns)\n", - " File \"\", line 5, in \n", - " import Mixture\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/Mixture/__init__.py\", line 7, in \n", - " from Mixture.Mixer import Mixer\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/Mixture/Mixer.py\", line 8, in \n", - " from Mixture.nuSvmRobust import nuSvmRobust\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/Mixture/nuSvmRobust.py\", line 12, in \n", - " from Mixture import tuneSvmForDeconv\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/Mixture/tuneSvmForDeconv.py\", line 8, in \n", - " from sklearn.svm import NuSVR\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/svm/__init__.py\", line 13, in \n", - " from .classes import SVC, NuSVC, SVR, NuSVR, OneClassSVM, LinearSVC, \\\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/svm/classes.py\", line 4, in \n", - " from .base import _fit_liblinear, BaseSVC, BaseLibSVM\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/svm/base.py\", line 9, in \n", - " from ..preprocessing import LabelEncoder\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/preprocessing/__init__.py\", line 6, in \n", - " from ._function_transformer import FunctionTransformer\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/preprocessing/_function_transformer.py\", line 5, in \n", - " from ..utils.testing import assert_allclose_dense_sparse\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/utils/testing.py\", line 718, in \n", - " import pytest\n", - " File \"/usr/lib/python3/dist-packages/pytest.py\", line 13, in \n", - " from _pytest.fixtures import fixture, yield_fixture\n", - " File \"/usr/lib/python3/dist-packages/_pytest/fixtures.py\", line 842, in \n", - " class FixtureFunctionMarker(object):\n", - " File \"/usr/lib/python3/dist-packages/_pytest/fixtures.py\", line 844, in FixtureFunctionMarker\n", - " params = attr.ib(convert=attr.converters.optional(tuple))\n", - "TypeError: attrib() got an unexpected keyword argument 'convert'\n", - "\n", - "During handling of the above exception, another exception occurred:\n", - "\n", - "Traceback (most recent call last):\n", - " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py\", line 2040, in showtraceback\n", - " stb = value._render_traceback_()\n", - "AttributeError: 'TypeError' object has no attribute '_render_traceback_'\n", - "\n", - "During handling of the above exception, another exception occurred:\n", - "\n", - "Traceback (most recent call last):\n", - " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/ultratb.py\", line 1101, in get_records\n", - " return _fixed_getinnerframes(etb, number_of_lines_of_context, tb_offset)\n", - " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/ultratb.py\", line 319, in wrapped\n", - " return f(*args, **kwargs)\n", - " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/ultratb.py\", line 353, in _fixed_getinnerframes\n", - " records = fix_frame_records_filenames(inspect.getinnerframes(etb, context))\n", - " File \"/usr/lib/python3.6/inspect.py\", line 1490, in getinnerframes\n", - " frameinfo = (tb.tb_frame,) + getframeinfo(tb, context)\n", - " File \"/usr/lib/python3.6/inspect.py\", line 1448, in getframeinfo\n", - " filename = getsourcefile(frame) or getfile(frame)\n", - " File \"/usr/lib/python3.6/inspect.py\", line 696, in getsourcefile\n", - " if getattr(getmodule(object, filename), '__loader__', None) is not None:\n", - " File \"/usr/lib/python3.6/inspect.py\", line 733, in getmodule\n", - " if ismodule(module) and hasattr(module, '__file__'):\n", - " File \"/usr/lib/python3/dist-packages/py/_vendored_packages/apipkg.py\", line 195, in __getattribute__\n", - " return getattr(getmod(), name)\n", - " File \"/usr/lib/python3/dist-packages/py/_vendored_packages/apipkg.py\", line 179, in getmod\n", - " x = importobj(modpath, None)\n", - " File \"/usr/lib/python3/dist-packages/py/_vendored_packages/apipkg.py\", line 69, in importobj\n", - " module = __import__(modpath, None, None, ['__doc__'])\n", - " File \"/usr/lib/python3/dist-packages/pytest.py\", line 13, in \n", - " from _pytest.fixtures import fixture, yield_fixture\n", - " File \"/usr/lib/python3/dist-packages/_pytest/fixtures.py\", line 842, in \n", - " class FixtureFunctionMarker(object):\n", - " File \"/usr/lib/python3/dist-packages/_pytest/fixtures.py\", line 844, in FixtureFunctionMarker\n", - " params = attr.ib(convert=attr.converters.optional(tuple))\n", - "TypeError: attrib() got an unexpected keyword argument 'convert'\n" - ] - }, - { - "ename": "TypeError", - "evalue": "attrib() got an unexpected keyword argument 'convert'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m" - ] - } - ], + "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import os\n", "import sys\n", "import Mixture\n", - "import multiprocessing\n", - "import matplotlib.pyplot as plt\n", - "\n", - "#Library to read RDS format\n", - "import rpy2\n", - "import rpy2.robjects as robjects\n", - "from rpy2.robjects import pandas2ri\n", - "from rpy2.robjects.conversion import localconverter" + "import multiprocessing\n" ] }, { @@ -141,17 +40,17 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Read xlsx files\n", - "X = pd.read_excel('data/TIL10_signature.xlsx', sheet_name = 0) " + "X = pd.read_excel('app/data/TIL10_signature.xlsx', sheet_name = 0) " ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -161,7 +60,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": { "scrolled": true }, @@ -175,134 +74,132 @@ "Processing...\n", "----------------------------------------------------------------------------------------------------\n", "Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "----------------------------------------------------------------------------------------------------\n", - "Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", - "--------------------------------------------------Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", - "Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "\n", "--------------------------------------------------\n", - "Iter: 1 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz\n", - "Iter: 1 Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gzIter: 1 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz\n", + "\n", "Iter: 1 Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz\n", - "Iter: 1 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", - "Iter: 2 Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz\n", - "Iter: 2 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz\n", - "Iter: 2 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gzIter: 2 Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz\n", + "Iter: 1 Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz\n", + "Iter: 2 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", + "Iter: 2 Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gzIter: 2 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz\n", "\n", + "Iter: 2 Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz\n", + "Iter: 3 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", + "Iter: 3 Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz\n", "Iter: 3 Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz\n", "Iter: 3 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz\n", - "Iter: 3 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", - "--------------------------------------------------\n", - "Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Iter: 4 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", "--------------------------------------------------\n", - "Iter: 3 Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz\n", "--------------------------------------------------\n", - "Iter: 4 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", "Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz\n", + "Iter: 1 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "--------------------------------------------------\n", - "Iter: 1 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz\n", - "Iter: 1 Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz\n", - "Iter: 2 Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz\n", - "Iter: 1 Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz\n", - "Iter: 2 Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz\n", + "Iter: 1 Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz\n", "Iter: 2 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz\n", + "Iter: 1 Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gzIter: 1 Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz\n", + "\n", + "Iter: 2 Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz\n", + "Iter: 3 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz\n", "Iter: 2 Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz\n", "Iter: 3 Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz\n", - "Iter: 3 Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz\n", - "Iter: 3 Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz\n", - "Iter: 3 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz\n", - "----------------------------------------------------------------------------------------------------\n", - "Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Iter: 2 Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz\n", + "Iter: 4 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz\n", "--------------------------------------------------\n", + "Iter: 3 Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gzSubject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "\n", - "Subject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz\n", - "Iter: 4 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz\n", + "Iter: 3 Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz\n", "Iter: 1 Subject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz\n", - "Iter: 1 Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz\n", - "Iter: 2 Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz\n", + "--------------------------------------------------Iter: 1 Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz\n", + "\n", + "Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz\n", - "Iter: 1 Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz\n", - "Iter: 3 Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz\n", "Iter: 2 Subject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz\n", - "Iter: 3 Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz\n", - "Iter: 3 Subject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz\n", + "Iter: 2 Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz\n", + "Iter: 1 Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gzIter: 1 Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gzIter: 3 Subject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz\n", + "\n", + "\n", "--------------------------------------------------\n", "Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "--------------------------------------------------Iter: 2 Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz\n", - "\n", - "Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "Iter: 2 Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz\n", + "Iter: 2 Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz\n", + "Iter: 3 Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz\n", "Iter: 1 Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz\n", "Iter: 3 Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz\n", - "Iter: 1 Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz\n", + "--------------------------------------------------\n", + "Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "Iter: 2 Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz\n", - "Iter: 2 Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz\n", + "Iter: 3 Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz\n", "Iter: 3 Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz\n", + "Iter: 1 Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz\n", + "Iter: 2 Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz\n", "Iter: 3 Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz\n", "_____________________________________________________________________\n", "Finish nuSvm\n", "Finish mixer\n", "Get Medias\n", "Creating population (Count: 4)...\n", - "--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", - "Creating Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "\n", + "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", - "Creating Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "Creating Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", "Finish creating population\n", "Finish\n", "Running mixer with porpulationBased (Count: 5)\n", "Normalizing data\n", "Processing...\n", - "--------------------------------------------------\n", - "Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", "Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "\n", "--------------------------------------------------\n", "Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", + "Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", "Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 0\n", - "Iter: 1 Subject: 3\n", - "Iter: 1 Subject: 2\n", + "Iter: 1 Subject: 0Iter: 1 Subject: 3\n", + "\n", "Iter: 1 Subject: 1\n", + "Iter: 1 Subject: 2\n", "Iter: 2 Subject: 0\n", - "Iter: 2 Subject: 3\n", - "Iter: 2 Subject: 1\n", - "Iter: 3 Subject: 0Iter: 2 Subject: 2\n", + "Iter: 2 Subject: 3Iter: 2 Subject: 1\n", + "Iter: 2 Subject: 2\n", "\n", - "Iter: 3 Subject: 3\n", "Iter: 3 Subject: 2\n", "_____________________________________________________________________\n", "Finish nuSvm\n", @@ -318,23 +215,24 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "14" + "array([0.90256962, 0.09743038, 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. ])" ] }, - "execution_count": 16, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "type(result)\n", - "len(result.Subjects[0].MIXprop[0])" + "oo = result.Subjects[0].MIXprop[0].to_numpy(copy = True)\n", + "oo[0]" ] }, { @@ -349,7 +247,9 @@ { "cell_type": "code", "execution_count": 37, - "metadata": {}, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { @@ -1007,7 +907,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.8" + "version": "3.7.0" } }, "nbformat": 4, diff --git a/Test Beta List.ipynb b/Test Beta List.ipynb index 9d9cadd..081f32a 100644 --- a/Test Beta List.ipynb +++ b/Test Beta List.ipynb @@ -2,100 +2,18 @@ "cells": [ { "cell_type": "code", - "execution_count": 22, + "execution_count": 3, "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "ERROR:root:Internal Python error in the inspect module.\n", - "Below is the traceback from this internal error.\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Traceback (most recent call last):\n", - " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py\", line 3326, in run_code\n", - " exec(code_obj, self.user_global_ns, self.user_ns)\n", - " File \"\", line 5, in \n", - " import Mixture\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/Mixture/__init__.py\", line 7, in \n", - " from Mixture.Mixer import Mixer\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/Mixture/Mixer.py\", line 8, in \n", - " from Mixture.nuSvmRobust import nuSvmRobust\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/Mixture/nuSvmRobust.py\", line 12, in \n", - " from Mixture import tuneSvmForDeconv\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/Mixture/tuneSvmForDeconv.py\", line 8, in \n", - " from sklearn.svm import NuSVR\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/svm/__init__.py\", line 13, in \n", - " from .classes import SVC, NuSVC, SVR, NuSVR, OneClassSVM, LinearSVC, \\\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/svm/classes.py\", line 4, in \n", - " from .base import _fit_liblinear, BaseSVC, BaseLibSVM\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/svm/base.py\", line 9, in \n", - " from ..preprocessing import LabelEncoder\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/preprocessing/__init__.py\", line 6, in \n", - " from ._function_transformer import FunctionTransformer\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/preprocessing/_function_transformer.py\", line 5, in \n", - " from ..utils.testing import assert_allclose_dense_sparse\n", - " File \"/home/matias/.local/lib/python3.6/site-packages/sklearn/utils/testing.py\", line 718, in \n", - " import pytest\n", - " File \"/usr/lib/python3/dist-packages/pytest.py\", line 13, in \n", - " from _pytest.fixtures import fixture, yield_fixture\n", - " File \"/usr/lib/python3/dist-packages/_pytest/fixtures.py\", line 842, in \n", - " class FixtureFunctionMarker(object):\n", - " File \"/usr/lib/python3/dist-packages/_pytest/fixtures.py\", line 844, in FixtureFunctionMarker\n", - " params = attr.ib(convert=attr.converters.optional(tuple))\n", - "TypeError: attrib() got an unexpected keyword argument 'convert'\n", - "\n", - "During handling of the above exception, another exception occurred:\n", - "\n", - "Traceback (most recent call last):\n", - " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py\", line 2040, in showtraceback\n", - " stb = value._render_traceback_()\n", - "AttributeError: 'TypeError' object has no attribute '_render_traceback_'\n", - "\n", - "During handling of the above exception, another exception occurred:\n", - "\n", - "Traceback (most recent call last):\n", - " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/ultratb.py\", line 1101, in get_records\n", - " return _fixed_getinnerframes(etb, number_of_lines_of_context, tb_offset)\n", - " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/ultratb.py\", line 319, in wrapped\n", - " return f(*args, **kwargs)\n", - " File \"/usr/local/lib/python3.6/dist-packages/IPython/core/ultratb.py\", line 353, in _fixed_getinnerframes\n", - " records = fix_frame_records_filenames(inspect.getinnerframes(etb, context))\n", - " File \"/usr/lib/python3.6/inspect.py\", line 1490, in getinnerframes\n", - " frameinfo = (tb.tb_frame,) + getframeinfo(tb, context)\n", - " File \"/usr/lib/python3.6/inspect.py\", line 1448, in getframeinfo\n", - " filename = getsourcefile(frame) or getfile(frame)\n", - " File \"/usr/lib/python3.6/inspect.py\", line 696, in getsourcefile\n", - " if getattr(getmodule(object, filename), '__loader__', None) is not None:\n", - " File \"/usr/lib/python3.6/inspect.py\", line 733, in getmodule\n", - " if ismodule(module) and hasattr(module, '__file__'):\n", - " File \"/usr/lib/python3/dist-packages/py/_vendored_packages/apipkg.py\", line 195, in __getattribute__\n", - " return getattr(getmod(), name)\n", - " File \"/usr/lib/python3/dist-packages/py/_vendored_packages/apipkg.py\", line 179, in getmod\n", - " x = importobj(modpath, None)\n", - " File \"/usr/lib/python3/dist-packages/py/_vendored_packages/apipkg.py\", line 69, in importobj\n", - " module = __import__(modpath, None, None, ['__doc__'])\n", - " File \"/usr/lib/python3/dist-packages/pytest.py\", line 13, in \n", - " from _pytest.fixtures import fixture, yield_fixture\n", - " File \"/usr/lib/python3/dist-packages/_pytest/fixtures.py\", line 842, in \n", - " class FixtureFunctionMarker(object):\n", - " File \"/usr/lib/python3/dist-packages/_pytest/fixtures.py\", line 844, in FixtureFunctionMarker\n", - " params = attr.ib(convert=attr.converters.optional(tuple))\n", - "TypeError: attrib() got an unexpected keyword argument 'convert'\n" - ] - }, - { - "ename": "TypeError", - "evalue": "attrib() got an unexpected keyword argument 'convert'", + "ename": "ModuleNotFoundError", + "evalue": "No module named 'rpy2'", "output_type": "error", "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m" + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 8\u001b[0m \u001b[1;31m#Library to read RDS format\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 9\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 10\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrobjects\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mrobjects\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 11\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrobjects\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mpandas2ri\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'rpy2'" ] } ], @@ -106,7 +24,6 @@ "import sys\n", "import Mixture\n", "import multiprocessing\n", - "import matplotlib.pyplot as plt\n", "\n", "#Library to read RDS format\n", "import rpy2\n", @@ -151,29 +68,18 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Running mixer with subjects (Count: 1001)...\n", - "Normalizing data\n", - "Processing...\n", - "_____________________________________________________________________\n", - "Finish nuSvm\n", - "Finish mixer\n", - "Get Medias\n", - "Creating population (Count: 1000)...\n", - "Finish creating population\n", - "Finish\n", - "Running mixer with porpulationBased (Count: 1001)\n", - "Normalizing data\n", - "Processing...\n", - "_____________________________________________________________________\n", - "Finish nuSvm\n", - "Finish\n" + "ename": "NameError", + "evalue": "name 'robjects' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Read RDS file\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mreadRDS\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrobjects\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mr\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'readRDS'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[0mdf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mreadRDS\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'data/betas.list.rds'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;32mwith\u001b[0m \u001b[0mlocalconverter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrobjects\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdefault_converter\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mpandas2ri\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconverter\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mdf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrobjects\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconversion\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrpy2py\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mNameError\u001b[0m: name 'robjects' is not defined" ] } ], @@ -190,13 +96,41 @@ "vector = [x[2] for x in subject]\n", "columns = ['V' + str(x+1) for x in range(len(subject))]\n", "Y = pd.DataFrame(np.column_stack(vector), columns=columns)\n", - "Y.insert(0, 'Gene symbol', df[0][2].rownames)\n", - "\n", + "Y.insert(0, 'Gene symbol', df[0][2].rownames)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ "# Run Mixer Function\n", "if __name__ == '__main__':\n", " result, pValues = Mixture.Mixture(X, Y , cores, iters, output)" ] }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'result' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mresult\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;31mNameError\u001b[0m: name 'result' is not defined" + ] + } + ], + "source": [ + "result" + ] + }, { "cell_type": "code", "execution_count": 5, @@ -294,7 +228,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.8" + "version": "3.7.0" } }, "nbformat": 4, diff --git a/Test Dash.ipynb b/Test Dash.ipynb index 3c33e17..c90f5ca 100644 --- a/Test Dash.ipynb +++ b/Test Dash.ipynb @@ -2,89 +2,3603 @@ "cells": [ { "cell_type": "code", - "execution_count": 6, + "execution_count": 87, "metadata": {}, "outputs": [], "source": [ - "import dash\n", - "import dash_core_components as dcc\n", - "import dash_html_components as html\n", + "from random import seed\n", + "from random import sample \n", + "from random import randint\n", + "import numpy as np\n", + "import pandas as pd\n", "\n", - "external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']\n", - "\n", - "app = dash.Dash(__name__, external_stylesheets=external_stylesheets)\n", - "\n", - "app.layout = html.Div(children=[\n", - " html.H1(children='Hello Dash'),\n", + "seed(123)\n", + "from joblib import Parallel, delayed\n" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [], + "source": [ + "n = 22\n", + "a = 2\n", + "b = 4" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2" + ] + }, + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ns = randint(a, b)\n", + "ns" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.38890766, 0.87898467])" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "r = np.random.uniform(1, 0.2, ns)\n", + "r" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.13532849, 0.10507154, 0.05367359, 0.16072826, 0.11345146,\n", + " 0.08576837, 0.08939794, 0.08731246, 0.07516899, 0.09409891])" + ] + }, + "execution_count": 91, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rn = r/r.sum()\n", + "rn" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[15, 1, 9, 10, 16, 20, 3, 13, 18, 17]" + ] + }, + "execution_count": 92, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "id = sample(range(n-1), ns)\n", + "id" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", + " 0., 0., 0., 0., 0.])" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "betas = np.repeat(.0, n, axis=0)\n", + "betas" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0. , 0.10507154, 0. , 0.08939794, 0. ,\n", + " 0. , 0. , 0. , 0. , 0.05367359,\n", + " 0.16072826, 0. , 0. , 0.08731246, 0. ,\n", + " 0.13532849, 0.11345146, 0.09409891, 0.07516899, 0. ,\n", + " 0.08576837, 0. ])" + ] + }, + "execution_count": 94, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "for index, i in enumerate(id, start = 0):\n", + " betas[i] = rn[index]\n", "\n", - " html.Div(children='''\n", - " Dash: A web application framework for Python.\n", - " '''),\n", + "betas" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [], + "source": [ + "# Read xlsx files\n", + "df = pd.read_excel('data/LM22Signature.xlsx', sheet_name = 0) \n", + "X = df.iloc[:, 1:]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Gene symbol ABCB9\n", + "B cells naive 15.6035\n", + "B cells memory 22.0948\n", + "Plasma cells 653.392\n", + "T cells CD8 24.2237\n", + "T cells CD4 naive 35.6715\n", + "T cells CD4 memory resting 30.0482\n", + "T cells CD4 memory activated 38.4554\n", + "T cells follicular helper 17.6048\n", + "T cells regulatory (Tregs) 46.0737\n", + "T cells gamma delta 19.7157\n", + "NK cells resting 21.8637\n", + "NK cells activated 16.3961\n", + "Monocytes 20.3094\n", + "Macrophages M0 56.2519\n", + "Macrophages M1 29.3809\n", + "Macrophages M2 40.3903\n", + "Dendritic cells resting 123.993\n", + "Dendritic cells activated 23.3846\n", + "Mast cells resting 53.4668\n", + "Mast cells activated 23.6157\n", + "Eosinophils 29.7864\n", + "Neutrophils 33.6791\n", + "Name: 1, dtype: object" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.iloc[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [], + "source": [ + "A = np.dot(X, betas)" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([3.64495908e+01, 4.22783227e+01, 3.10001891e+02, 3.97910579e+01,\n", + " 4.57393984e+03, 2.75130638e+02, 1.38451303e+03, 9.91798876e+01,\n", + " 1.18249167e+03, 2.39467655e+03, 6.97628858e+02, 4.30762203e+02,\n", + " 6.07107536e+02, 8.94301884e+01, 2.12876501e+01, 2.03861609e+02,\n", + " 4.85648752e+02, 1.89871496e+03, 6.30441829e+02, 2.50583798e+01,\n", + " 8.02021157e+02, 4.03031405e+02, 1.09522926e+02, 7.36045327e+01,\n", + " 1.39981516e+02, 2.93931001e+02, 5.37562078e+02, 1.41070256e+01,\n", + " 1.93507322e+02, 3.52388704e+02, 1.07814375e+03, 3.31330425e+01,\n", + " 7.20313275e+02, 2.44658402e+03, 1.65069343e+02, 9.63461923e+01,\n", + " 2.71480501e+01, 6.90416007e+02, 1.44090207e+03, 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2.88731962e+01, 1.16351856e+03,\n", + " 1.28465968e+02, 1.67116628e+02, 4.36891233e+01, 6.81988258e+02,\n", + " 5.16966010e+01, 4.92008916e+02, 5.19047104e+01, 1.09071874e+02,\n", + " 1.42606205e+02, 4.29591212e+01, 5.00416160e+01])" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "A" + ] + }, + { + "cell_type": "code", + "execution_count": 237, + "metadata": {}, + "outputs": [], + "source": [ + "seed(123)\n", + "def createBetas (X, a, b, n):\n", + " ns = randint(a, b)\n", + " r = np.random.uniform(1, 0.2, ns)\n", + " rn = r/r.sum()\n", + " id = sample(range(n), ns)\n", + " betas = np.repeat(.0, n, axis=0)\n", + " for index, i in enumerate(id, start = 0):\n", + " betas[i] = rn[index]\n", + " \n", + " vector = X.to_numpy(copy=True) \n", + " vector = vector.flatten()\n", + " \n", + " A = np.dot(X, betas)\n", + " AA = np.dot(X, betas) + vector[sample(range(len(vector)), len(X.index))].T\n", + " \n", + " return betas,id,A, AA\n", "\n", - " dcc.Graph(\n", - " id='example-graph',\n", - " figure={\n", - " 'data': [\n", - " {'x': [1, 2, 3], 'y': [4, 1, 2], 'type': 'bar', 'name': 'SF'},\n", - " {'x': [1, 2, 3], 'y': [2, 4, 5], 'type': 'bar', 'name': u'Montréal'},\n", - " ],\n", - " 'layout': {\n", - " 'title': 'Dash Data Visualization'\n", - " }\n", - " }\n", - " )\n", - "])\n", - "\n" + "a = Parallel(n_jobs=4, backend='threading')(delayed(createBetas)(X = X, a = 2, b = 8, n = len(X.columns)) for i in range(1000))" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 253, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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1000 rows Ă— 4 columns

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1 rows Ă— 1000 columns

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" + ], + "text/plain": [ + " 0 1 2 3 4 5 6 7 8 9 ... 990 991 992 993 \\\n", + "0 2 8 2 3 6 2 5 7 5 4 ... 4 6 7 6 \n", + "\n", + " 994 995 996 997 998 999 \n", + "0 7 3 4 3 6 7 \n", + "\n", + "[1 rows x 1000 columns]" + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ids" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([2, 3, 4, 5, 6, 7, 8])" + ] + }, + "execution_count": 113, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "c = np.unique(ids.values)\n", + "np.sort(c)" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "range(2, 8)" + ] + }, + "execution_count": 114, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "range(2,8)" + ] + }, + { + "cell_type": "code", + "execution_count": 204, + "metadata": {}, + "outputs": [], + "source": [ + "estimate_lines = pd.DataFrame([(vector[i] > 0).sum() for i in range(1000)])" + ] + }, + { + "cell_type": "code", + "execution_count": 221, + "metadata": {}, + "outputs": [], + "source": [ + "y = [estimate_lines[(ids.values == i)[0]][0] for index, i in enumerate(range(2,8), start = 0)]" + ] + }, + { + "cell_type": "code", + "execution_count": 223, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Running on http://127.0.0.1:8050/\n", - "Running on http://127.0.0.1:8050/\n", - "Running on http://127.0.0.1:8050/\n", - "Debugger PIN: 533-758-917\n", - "Debugger PIN: 533-758-917\n", - "Debugger PIN: 533-758-917\n", - " * Serving Flask app \"__main__\" (lazy loading)\n", - " * Environment: production\n", - " WARNING: This is a development server. Do not use it in a production deployment.\n", - " Use a production WSGI server instead.\n", - " * Debug mode: on\n" - ] - }, - { - "ename": "OSError", - "evalue": "[Errno 98] Address already in use", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0m__name__\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'__main__'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mapp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_server\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdebug\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m~/.local/lib/python3.6/site-packages/dash/dash.py\u001b[0m in \u001b[0;36mrun_server\u001b[0;34m(self, port, debug, dev_tools_ui, dev_tools_props_check, dev_tools_serve_dev_bundles, dev_tools_hot_reload, dev_tools_hot_reload_interval, dev_tools_hot_reload_watch_interval, dev_tools_hot_reload_max_retry, dev_tools_silence_routes_logging, dev_tools_prune_errors, **flask_run_options)\u001b[0m\n\u001b[1;32m 1723\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Debugger PIN: %s'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdebugger_pin\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1724\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1725\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mserver\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mport\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mport\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdebug\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdebug\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mflask_run_options\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m~/.local/lib/python3.6/site-packages/flask/app.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, host, port, debug, load_dotenv, **options)\u001b[0m\n\u001b[1;32m 988\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 989\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 990\u001b[0;31m \u001b[0mrun_simple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhost\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mport\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 991\u001b[0m \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 992\u001b[0m \u001b[0;31m# reset the first request information if the development server\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/.local/lib/python3.6/site-packages/werkzeug/serving.py\u001b[0m in \u001b[0;36mrun_simple\u001b[0;34m(hostname, port, application, use_reloader, use_debugger, use_evalex, extra_files, reloader_interval, reloader_type, threaded, processes, request_handler, static_files, passthrough_errors, ssl_context)\u001b[0m\n\u001b[1;32m 985\u001b[0m \u001b[0ms\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msocket\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msocket\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maddress_family\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msocket\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSOCK_STREAM\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 986\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msetsockopt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msocket\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSOL_SOCKET\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msocket\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSO_REUSEADDR\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 987\u001b[0;31m \u001b[0ms\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbind\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mserver_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 988\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"set_inheritable\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 989\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_inheritable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - 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"if __name__ == '__main__':\n", - " app.run_server(debug=True)" + "for i in range(len(y)):\n", + " print(y[i])\n", + " print('-----------')" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 139, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "vector = [x[2] for x in a]\n", + "columns = ['V' + str(x+1) for x in range(len(a))]\n", + "Y = pd.DataFrame(np.column_stack(vector), columns=columns)\n", + "Y.insert(0, 'Gene symbol', df['Gene symbol'])" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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Gene symbolV1V2V3V4V5V6V7V8V9...V991V992V993V994V995V996V997V998V999V1000
0ABCB47.67300289.15307248.97141993.91306362.08862156.65550110.57402462.13391924.254555...57.98533636.36532640.23944825.7076409.86192876.025399122.75371414.723155171.305793119.547880
1ABCB9252.94409375.46610123.49131475.43404938.17848465.054379122.33421885.71918031.492915...25.16436779.62298868.85498992.93366824.19717937.47296022.56454647.19815839.66327128.433639
2ACAP1632.125573343.625316572.119823246.438125419.885065460.838182276.133797585.041419705.762770...463.042073627.771165500.710117270.525319480.364715402.688367527.962128328.634180515.340929463.864381
3ACHE19.81621123.48132264.125618148.818706181.65318639.208100227.54776933.31038541.328040...253.071079222.404087124.188930168.82150117.12362031.154009253.780944116.80481120.402001197.548285
4ACP55631.5929363511.9269661441.3019403766.2446422562.4656313841.155449908.5232852159.8679152344.835618...1794.5854102229.2776662394.4774193805.8076851571.1063883342.368717542.849191919.4920112532.1068411662.893678
5ADAM28151.193719456.966822213.028492406.510947341.803212320.917630144.232953289.156837106.623724...393.851223199.436919259.045586216.962061850.240491290.175780471.266455340.451815630.245706575.148489
6ADAMDEC11715.491911613.696571564.9337791806.8623101539.9553241133.1760871487.324345301.4880981239.939253...1966.4552442381.9831511349.7818931796.310347246.8310771042.2971001617.556702969.457789429.2611631870.539382
7ADAMTS364.44582490.64921663.06062795.487291117.40278791.84397999.157859109.053423107.031881...66.23792148.065641103.17350391.93328493.187903133.41939464.566157116.198544138.07817569.535757
8ADRB2214.434764892.277677517.226839876.8056671125.935647655.4280961141.2084061000.156107689.100759...557.245472759.156313894.701880821.366485532.5842731099.628910747.3814171459.2402691234.252982499.950478
9AIF1686.6136651564.3347561134.4740692772.1223262203.2377822338.9370671589.7230821619.1135571979.818099...1393.9489732871.0895791978.8433501876.96190824.2473892220.5270752335.2147331750.248133794.3678261690.483719
10AIM2639.641759858.944556736.214336801.527128995.155675872.5081521207.744677566.615858589.308732...1471.329298662.816758973.5383141143.0886113405.324498529.231245820.2889041199.863257192.3241251649.596273
11ALOX1512.191213367.63498822.701109353.433447373.085737365.47454725.154891342.47590376.013142...38.968334107.819722214.768454314.07854013.292344299.2711809.52012663.701748479.06747064.356844
12ALOX5393.881439856.833435707.517854760.804240721.113328835.116234478.970077822.262636344.399104...739.276826155.898941633.850395604.9641151819.375003596.002142816.6482841050.744308778.289242687.784424
13AMPD11059.610250288.63633695.788840277.048419100.357257224.204941520.383056320.82444274.075500...106.749730289.781622248.970313340.291689182.75183992.144189112.751261220.377705127.881834119.118907
14ANGPT4100.36992436.15606843.28430433.53823727.78505136.22259063.49198343.89566741.325875...32.37114436.83710840.94675145.66266927.43531932.01300030.52342231.82924321.03163241.401540
15ANKRD55121.543873150.523626466.996431216.583882248.945710256.228786198.722062265.948849565.198212...414.945891305.273085311.584708205.249083276.410643374.463563160.056178311.878040248.630673258.501350
16APOBEC3A75.319985440.7249331748.0982311012.618469891.610926934.1567391321.4515001105.723986543.938130...1601.922626768.179497888.214349979.69245379.856249455.1922981325.2679281037.347737218.258026670.227352
17APOBEC3G1077.3738662000.1729121667.0371001780.8292861420.2474351164.3690742144.0101081764.192698828.278907...1636.4785452214.3075321363.6931861778.7637021453.9226311676.2508411492.5331051984.3280711802.0268891420.958673
18APOL3638.796914698.020649652.8813981488.8484271859.724643556.0765172415.571556618.689764696.770757...2213.9766762432.8984071392.3582561742.964211817.108761574.6267972689.0802061321.368248477.7298572087.451165
19APOL611.42167618.48150751.290178127.612415124.88407525.769627163.44297560.14166628.057499...209.460361148.846100101.124114154.17704910.76931551.167101179.85724776.78651912.057473143.234678
20AQP91693.479124813.2502712822.3075041656.7579121026.6681642095.3281631055.7972921899.0501511111.871256...1932.675173742.3182181244.8505751666.68976815.056315902.6692741179.136311942.351635519.590453631.680689
21ARHGAP2281.672664219.996611817.811891288.306017125.768851386.724379299.757001283.359288372.149285...612.345597143.647225265.940540339.40791041.524245289.22117898.818208167.32735593.432629104.796325
22ARRB1130.12426894.02964730.140141206.067461192.01993480.576932207.97439156.40220081.471593...190.931851243.615472144.561743196.54934817.837859114.053246266.175181145.62365130.450593188.870256
23ASGR159.735022128.62120629.138448128.932551131.91399156.790259182.47949784.27141045.178839...35.85352548.14805995.647222100.08756234.772898123.688905213.984711208.16140641.43656739.708617
24ASGR258.620423167.45539433.180055216.219860203.366019112.987480228.365482116.618543121.409946...71.504357199.911246161.069566139.97367736.000505190.631735321.321684258.83577744.543720128.105494
25ATHL1356.147615400.152470868.462016511.241821380.520019466.607330355.874684412.2501821200.126938...874.071533886.126172622.534239447.933364604.290135797.184586478.099256367.393259287.507895484.139422
26ATP8B484.298836331.131596145.639787484.404135495.294805419.894517246.996944367.636988495.814606...209.420076417.505319418.067788430.15118677.344800606.498022104.514502486.597639637.183562235.167712
27ATXN8OS53.03630920.38641413.20586119.86705513.97538118.11167832.84379923.33809812.203527...13.63293121.25935619.95137422.44823216.28050813.01218913.41789019.45215314.09578714.415995
28AZU140.581568139.87808391.993785171.103037207.237359162.476917122.01214696.046724210.548394...79.773061195.177818157.805576151.20612539.384523205.03127985.065352244.913848278.506734100.209507
29BACH2204.942304917.891539539.350751746.564213557.184062483.117950259.237513599.464289385.037593...734.079421384.781030490.711310312.5998111028.863369714.4805671240.878488391.5284201339.1014841117.598409
..................................................................
517TRIB2396.438178884.1038352150.042689722.2550511130.958384974.499064701.588575681.1605531715.525743...1442.641090977.862781756.046205716.3568741301.7969211402.793669893.297704895.2105471141.5693941365.695616
518TRPM428.59753716.43598716.53020059.89872553.44354638.71297955.59733018.77325641.451221...62.30703098.05721747.96612051.6696567.06223030.84044252.30363731.22830013.49583968.502065
519TRPM637.69796831.85353665.53021136.62365651.68298661.50216060.398337105.67467250.958146...44.29754724.74776470.19459036.03829634.43432029.22388031.399186104.23571177.72234035.223395
520TSHR41.16108822.14442477.55678620.36733627.88577831.19493226.53580522.06515042.092916...43.42934318.97043918.21008321.54801416.32667134.93306813.47804327.28854416.98017332.174682
521TTC3859.805400604.915692466.519853422.161951417.421482287.541080301.425110179.994734165.885458...201.570005785.942762195.353544200.47203725.420850351.835002259.222126496.183257663.848954277.309290
522TXK102.154317461.683072369.585981433.301672303.911136255.811062229.809866378.824519371.780133...405.317422604.438193336.868966361.171577256.428243486.890980373.557127323.923503471.298402286.448247
523TYR554.25322633.10244459.78894140.830350142.664396201.62741092.624383276.595607149.401994...42.963265234.827011164.66561355.26343163.31173551.22423014.85913572.150199280.054179137.320725
524UBASH3A419.302812135.308017318.699983103.287581217.849578220.827104161.245675273.339203614.944233...315.038269453.869155331.217973144.896551198.330922303.799067369.90900695.592084198.310051269.848269
525UGT1A8225.558061207.876472169.852006178.021709179.795274206.548805148.902419212.850081110.507174...192.916953121.369254164.105742131.258043379.238603154.640155203.011829194.763296283.702679253.109643
526UGT2B17108.52822227.6014519.31886927.4949678.67924520.92714252.49921731.3674066.697960...9.91794229.32643923.93179133.18591710.8215468.82761310.56351619.89142012.51661411.210866
527UPK3A16.49649531.45979213.92565828.08522030.14925514.35721039.20017425.83568114.241529...12.47988711.67470924.59943923.87360914.35978727.36542352.23508144.49530715.55240113.365377
528VILL45.410204131.385388202.861322120.530195169.869604111.158161175.91519070.523596269.004326...203.136939268.863297155.353119142.663484157.650055167.339003260.372456133.26828282.761830178.381068
529VNN1357.540409213.380187179.685581221.957853138.409900191.998118160.415654191.273908105.571258...90.48546252.417816143.108354201.49640719.168560186.826612217.665479190.76309661.52414931.811393
530VNN2210.074758541.7030583404.6092991049.711436428.0038731989.357383605.2975042297.046025719.044987...1449.100033212.566742823.309101703.27708581.731764437.215191862.386192699.466893149.02028383.428078
531VNN339.71398438.868693416.405767126.13748955.186369261.55597055.057677292.346022111.147701...201.24296147.271101113.39412093.53995731.30554148.34771961.98656764.07615841.63894542.043433
532VPREB3268.657023878.823061394.741428668.633439560.443001563.323263180.232517453.193511114.489974...728.059333166.635685392.066093372.7437901950.453553499.082260873.225356516.2725901079.7438341072.305073
533WNT5B24.23427529.56529845.24206779.06787549.26895485.07358126.72157533.20182084.301906...61.547826126.22915759.32158651.55601510.41800663.88729912.02540117.48409223.97370976.456404
534WNT7A29.76683832.77114448.25775129.58651936.66257330.84668139.88884737.02042973.407614...48.60173949.74509147.84498834.76498236.00619248.12744560.29782534.34887323.49505837.432574
535ZAP70541.1934901292.8008622841.062339715.2592001230.4668301031.553632797.925417735.3348282096.873673...1550.7035942032.509804850.333202599.861803714.4862061488.5784721360.6001071029.3087101194.6547201389.897840
536ZBP1199.596571152.667826154.501773111.42373392.666704123.636469136.615854130.80285789.965775...82.620367205.980642100.15195296.37066597.77389676.41931077.366006128.668573146.47542081.177838
537ZBTB1057.153985130.258064569.992563146.175049186.039232215.039695174.664020133.241456320.707420...374.956951106.824552145.804778158.88458297.147451253.473974124.753854204.814396125.262421209.817998
538ZBTB3242.00085838.73842131.35515643.77659362.39127846.89354068.10932843.05051540.134975...80.75326954.98723263.57778759.477040144.18121728.81718755.01539365.43581729.75422493.699093
539ZFP36L21157.7764851071.059015816.743555513.214346911.895247886.816325819.1506461019.168649908.298264...613.4910631193.017928867.882161730.0823641473.254524472.4686081808.782731515.307275930.5587171017.399851
540ZNF1357.88940952.43471136.97086141.26337736.67859227.56639522.21671935.04112531.136039...30.38451054.89443031.18305219.67166316.18046942.70358548.03397843.10618867.77460136.445281
541ZNF16527.5061828.3925324.6879869.801864282.790857162.906837237.012015617.040699217.700737...6.30827113.258060402.48509111.5330763.9803308.2381473.938434828.409781587.14638511.184848
542ZNF204P48.75820657.06139254.06611053.43109955.47945249.22096767.02025556.251190108.192232...73.16297893.67014076.27411656.70859576.23936974.08230891.20992552.21254053.14002962.398021
543ZNF22232.72077258.06720977.99885769.00364592.46694976.29819951.84338883.130215103.752530...60.93416068.82874081.91548961.6532669.28570795.25236344.246170107.538203104.59689052.052568
544ZNF286A70.880992225.042651282.213516178.471875144.134043190.900156127.154172203.555087108.444043...230.512154104.122230138.287435121.599219288.928464156.277020251.969792134.037765259.911676250.981308
545ZNF32435.75029730.01250170.74931253.03888547.29354848.95383931.12367734.999003106.739263...74.53212484.77263357.06982341.28558324.44372079.77599531.59826241.35151539.35015554.345457
546ZNF44232.18332031.68569346.01728835.80622340.88346835.31089756.53488039.36791128.900849...45.60801031.42405236.48001035.53047418.94119338.50802332.53323348.37029527.52380928.942266
\n", + "

547 rows Ă— 1001 columns

\n", + "
" + ], + "text/plain": [ + " Gene symbol V1 V2 V3 V4 \\\n", + "0 ABCB4 7.673002 89.153072 48.971419 93.913063 \n", + "1 ABCB9 252.944093 75.466101 23.491314 75.434049 \n", + "2 ACAP1 632.125573 343.625316 572.119823 246.438125 \n", + "3 ACHE 19.816211 23.481322 64.125618 148.818706 \n", + "4 ACP5 5631.592936 3511.926966 1441.301940 3766.244642 \n", + ".. ... ... ... ... ... \n", + "542 ZNF204P 48.758206 57.061392 54.066110 53.431099 \n", + "543 ZNF222 32.720772 58.067209 77.998857 69.003645 \n", + "544 ZNF286A 70.880992 225.042651 282.213516 178.471875 \n", + "545 ZNF324 35.750297 30.012501 70.749312 53.038885 \n", + "546 ZNF442 32.183320 31.685693 46.017288 35.806223 \n", + "\n", + " V5 V6 V7 V8 V9 ... \\\n", + "0 62.088621 56.655501 10.574024 62.133919 24.254555 ... \n", + "1 38.178484 65.054379 122.334218 85.719180 31.492915 ... \n", + "2 419.885065 460.838182 276.133797 585.041419 705.762770 ... \n", + "3 181.653186 39.208100 227.547769 33.310385 41.328040 ... \n", + "4 2562.465631 3841.155449 908.523285 2159.867915 2344.835618 ... \n", + ".. ... ... ... ... ... ... \n", + "542 55.479452 49.220967 67.020255 56.251190 108.192232 ... \n", + "543 92.466949 76.298199 51.843388 83.130215 103.752530 ... \n", + "544 144.134043 190.900156 127.154172 203.555087 108.444043 ... \n", + "545 47.293548 48.953839 31.123677 34.999003 106.739263 ... \n", + "546 40.883468 35.310897 56.534880 39.367911 28.900849 ... \n", + "\n", + " V991 V992 V993 V994 V995 \\\n", + "0 57.985336 36.365326 40.239448 25.707640 9.861928 \n", + "1 25.164367 79.622988 68.854989 92.933668 24.197179 \n", + "2 463.042073 627.771165 500.710117 270.525319 480.364715 \n", + "3 253.071079 222.404087 124.188930 168.821501 17.123620 \n", + "4 1794.585410 2229.277666 2394.477419 3805.807685 1571.106388 \n", + ".. ... ... ... ... ... \n", + "542 73.162978 93.670140 76.274116 56.708595 76.239369 \n", + "543 60.934160 68.828740 81.915489 61.653266 9.285707 \n", + "544 230.512154 104.122230 138.287435 121.599219 288.928464 \n", + "545 74.532124 84.772633 57.069823 41.285583 24.443720 \n", + "546 45.608010 31.424052 36.480010 35.530474 18.941193 \n", + "\n", + " V996 V997 V998 V999 V1000 \n", + "0 76.025399 122.753714 14.723155 171.305793 119.547880 \n", + "1 37.472960 22.564546 47.198158 39.663271 28.433639 \n", + "2 402.688367 527.962128 328.634180 515.340929 463.864381 \n", + "3 31.154009 253.780944 116.804811 20.402001 197.548285 \n", + "4 3342.368717 542.849191 919.492011 2532.106841 1662.893678 \n", + ".. ... ... ... ... ... \n", + "542 74.082308 91.209925 52.212540 53.140029 62.398021 \n", + "543 95.252363 44.246170 107.538203 104.596890 52.052568 \n", + "544 156.277020 251.969792 134.037765 259.911676 250.981308 \n", + "545 79.775995 31.598262 41.351515 39.350155 54.345457 \n", + "546 38.508023 32.533233 48.370295 27.523809 28.942266 \n", + "\n", + "[547 rows x 1001 columns]" + ] + }, + "execution_count": 140, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + 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zvmN#wp|5=x<8u`uyDK8RBYc^xDrCB>9#_lF7AFrldC1MW7qMzNJZg)t*IXXeZ_q9r zMW7_GyQrpTX-2ikC{3wn@}{g7Z|1J8sG#F;iozQB7dWP|Y$vq%@#=9ux4g1elI6N8 z%XPJQdC%Eop6kyQ=QhJ?{iJH~zj90UfzDdV+-&TMsty?I|6fo?6!dI8^=I{vm0}Dx z#X&&w`1ImuYcoVd|PZyNu9#v>ny`M`Fqv0k%UZ z)8@7mVV1tfDMVak8kPFaCV;l0$5iWi5wfHBsvn)_N-MkpBUiR(6B{ diff --git a/app/pages/validate.py b/app/pages/validate.py index 36a77ea..f017b8c 100644 --- a/app/pages/validate.py +++ b/app/pages/validate.py @@ -7,6 +7,12 @@ import numpy as np import pandas as pd +from joblib import Parallel, delayed + +from random import seed +from random import sample +from random import randint + from dash.dependencies import Input, Output, State import dash_core_components as dcc import dash_html_components as html @@ -16,9 +22,22 @@ from app import app -signature = '' -filename_signature = '' -dataFrameSignature = '' +signature = None +filename_signature = None +dataFrameSignature = None +result1 = None +pValues1 = None +tableMetrics1 = None +result2 = None +pValues2 = None +tableMetrics2 = None +subjects = None +betas = None +lines = None +estimate_lines = None +ids = None + +seed(123) layout = html.Div([ html.Div([ @@ -110,6 +129,24 @@ 'background-color': '#F7F7F7', }) +def createBetas (X, a, b, n): + + ns = randint(a, b) + r = np.random.uniform(1, 0.2, ns) + rn = r/r.sum() + id = sample(range(n-1), ns) + betas = np.repeat(.0, n, axis=0) + for index, i in enumerate(id, start = 0): + betas[i] = rn[index] + + vector = X.to_numpy(copy=True) + vector = vector.flatten() + + A = np.dot(X, betas) + vector[sample(range(len(vector)), len(X.index))] + + return betas, id, A + + def parse_contents(contents, filename, date): content_type, content_string = contents.split(',') @@ -125,7 +162,6 @@ def parse_contents(contents, filename, date): # Assume that the user uploaded an excel file signature = io.BytesIO(decoded) dataFrameSignature = pd.read_excel(signature, sheet_name = 0) - print(len(dataFrameSignature.columns)) except Exception as e: print(e) @@ -142,15 +178,15 @@ def parse_contents(contents, filename, date): dcc.RangeSlider( id='lines_slider', min=1, - max=len(dataFrameSignature.columns), + max=(len(dataFrameSignature.columns)-1), step=1, # marks={i: '{}'.format(i) for i in range(len(dataFrameSignature.columns)+1)}, marks={ 1: '1', - round(len(dataFrameSignature.columns)/2): str(round(len(dataFrameSignature.columns)/2)), - len(dataFrameSignature.columns): str(len(dataFrameSignature.columns)) + round((len(dataFrameSignature.columns)-1)/2): str(round((len(dataFrameSignature.columns)-1)/2)), + (len(dataFrameSignature.columns)-1): str((len(dataFrameSignature.columns)-1)) }, - value=[round(len(dataFrameSignature.columns)*0.2), round(len(dataFrameSignature.columns)*0.75)] + value=[round((len(dataFrameSignature.columns)-1)*0.2), round((len(dataFrameSignature.columns)-1)*0.75)] ), html.P(id='lines_slider_output', style={ 'margin-top': '40px' @@ -179,9 +215,9 @@ def update_lines(lines_slider): [dash.dependencies.Input('button_validate', 'n_clicks')], [dash.dependencies.State('lines_slider', 'value'), dash.dependencies.State('cpu-slider', 'value')]) -def update_output(n_clicks, lines, cpu): +def update_output(n_clicks, lines_slider, cpu): - global signature, result, pValues, tableMetrics, urlLm22, urlTil10 + global signature, dataFrameSignature, result1, pValues1, tableMetrics1, result2, pValues2, tableMetrics2, subjects, betas, lines, estimate_lines, ids if n_clicks is not None: @@ -192,10 +228,41 @@ def update_output(n_clicks, lines, cpu): #if __name__ == '__main__': #if __name__ == 'app': if True: - result, pValues = Mixture.Mixture(X, Y , cpu, 0, '') + + rango = 500 + + lines = lines_slider + + # Escenario 1 + result1, pValues1 = Mixture.Mixture(X, Y , cpu, 1, '') + metrics1 = result1.Subjects[0].ACCmetrix[0].reset_index() + + # Escenario 2 + X = dataFrameSignature.iloc[:, 1:] + + subjects = Parallel(n_jobs=cpu, backend='threading')(delayed(createBetas)(X = X, a = lines[0], b = lines[1], n = len(X.columns)) for i in range(rango)) - metrics = result.Subjects[0].ACCmetrix[0].reset_index() + # Getting expression matrix + vector = [x[2] for x in subjects] + columns = ['V' + str(x+1) for x in range(len(subjects))] + Y2 = pd.DataFrame(np.column_stack(vector), columns=columns) + Y2.insert(0, 'Gene symbol', dataFrameSignature['Gene symbol']) + # Getting Real Betas Matrix + vector = [x[0] for x in subjects] + columns = ['V' + str(x+1) for x in range(len(subjects))] + betas = pd.DataFrame(np.column_stack(vector), columns=columns) + + X = dataFrameSignature + + result2, pValues2 = Mixture.Mixture(X, Y2 , cpu, 1, '') + betasSim = result2.Subjects[0].MIXprop[0].to_numpy(copy = True) + estimate_lines = pd.DataFrame([(betasSim[i] > 0).sum() for i in range(rango)]) + metrics2 = result2.Subjects[0].ACCmetrix[0].reset_index() + + vector = [len(x[1]) for x in subjects] + ids = pd.DataFrame(np.column_stack(vector)) + children = [ dcc.Tabs(id='tabs4', value='tab4-1', children=[ dcc.Tab(label='Plots', value='tab4-1'), @@ -208,13 +275,131 @@ def update_output(n_clicks, lines, cpu): @app.callback(Output('tabs4-content', 'children'), [Input('tabs4', 'value')]) def render_content2(tab): - if tab == 'tab4-3': + if tab == 'tab4-1': return html.Div([ - dcc.Tabs(id='tabs5', value='tab5-1', children=[ + dcc.Tabs(id='tabs5', value='tab5-3', children=[ dcc.Tab(label='Breal - Bsim', value='tab5-1'), dcc.Tab(label='Breal vs Bsim', value='tab5-2'), dcc.Tab(label='Heatmaps', value='tab5-3'), dcc.Tab(label='BoxPlot', value='tab5-4'), ]), - html.Div(id='tabs-content') - ]) \ No newline at end of file + html.Div(id='tabs5-content') + ]) + +@app.callback(Output('tabs5-content', 'children'), + [Input('tabs5', 'value')]) +def render_content1(tab): + global result1, result2, betas, lines, estimate_lines, ids + count = len(result1.Subjects[0].MIXprop[0]) + if tab == 'tab5-1': + betasSim = result2.Subjects[0].MIXprop[0].T.to_numpy(copy=True) + betasSim = betasSim.flatten() + betasHat = betas.to_numpy(copy=True) + betasHat = betasHat.flatten() + mean = np.mean(betasSim - betasHat) + std = np.std(betasSim - betasHat) + return html.Div([ + html.H3('rReal betas - Simulated betas'), + dcc.Graph( + id='graph-3', + figure=go.Figure(data=go.Scatter( + x = betasHat, + y = betasSim - betasHat, + mode='markers' + ), + layout=go.Layout( + shapes=[ + go.layout.Shape( + type="line", + x0=-1, + y0=mean, + x1=count, + y1=mean, + line=dict( + color="red", + width=2, + dash="dashdot", + ), + ), + go.layout.Shape( + type="line", + x0=-1, + y0=(mean+2*std), + x1=count, + y1=(mean+2*std), + line=dict( + color="blue", + width=2, + dash="dashdot", + ), + ), + go.layout.Shape( + type="line", + x0=-1, + y0=(mean-2*std), + x1=count, + y1=(mean-2*std), + line=dict( + color="blue", + width=2, + dash="dashdot", + ), + ) + ], + height=700, + xaxis=dict(tickangle=-90, automargin= True) + )) + ) + ]) + elif tab == 'tab5-2': + betasSim = result2.Subjects[0].MIXprop[0].T.to_numpy(copy=True) + betasSim = betasSim.flatten() + betasHat = betas.to_numpy(copy=True) + betasHat = betasHat.flatten() + return html.Div([ + html.H3('Real betas vs Simulated betas'), + dcc.Graph( + id='graph-3', + figure=go.Figure(data=go.Scatter( + x = betasHat, + y = betasSim, + mode='markers' + )) + ) + ]) + elif tab == 'tab5-3': + items = [result1.Subjects[0].MIXprop[0].iloc[j].values for j in range(len(result1.Subjects[0].MIXprop[0]))] + return html.Div([ + html.H3('Aca un titulo para el heatmap (o no)'), + dcc.Graph( + id='graph-3', + figure=go.Figure(data=go.Heatmap( + z=np.transpose(items), + x=result1.Subjects[0].MIXprop[0].index, + y=result1.Subjects[0].MIXprop[0].columns, + colorscale= [ + [0.0, 'rgb(255,255,255)'], + [1.0, 'rgb(255,0,0)'] + ] + ), + layout=go.Layout( + height=700, + xaxis=dict(tickangle=-90, automargin= True) + ) + ) + ) + ]) + elif tab == 'tab5-4': + items = [go.Box(y=estimate_lines[(ids.values == j)[0]][0], name = str(j)) for j in range(lines[0],lines[1])] + return 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children=[html.Div(id="loading-output-msignature")], type="default"), + html.P('False discovery test', style={ + 'border-top': '1px black solid', + 'margin-top': '20px' + }), dcc.Checklist( id="check_celllines", options=[ @@ -172,21 +176,21 @@ def parse_contents(contents, filename, date): return html.Div([ html.P('Selected: ' + filename), - html.P('No se que label colocarle aca:', style={ + html.P('Max number of cell lines in the mixture simulated sample:', style={ 'margin-top': '10px' }), dcc.RangeSlider( id='lines_slider', - min=1, + min=2, max=(len(dataFrameSignature.columns)-1), step=1, # marks={i: '{}'.format(i) for i in range(len(dataFrameSignature.columns)+1)}, marks={ - 1: '1', + 2: '2', round((len(dataFrameSignature.columns)-1)/2): str(round((len(dataFrameSignature.columns)-1)/2)), (len(dataFrameSignature.columns)-1): str((len(dataFrameSignature.columns)-1)) }, - value=[round((len(dataFrameSignature.columns)-1)*0.2), round((len(dataFrameSignature.columns)-1)*0.75)] + value=[2, round((len(dataFrameSignature.columns)-1)*0.75)] ), html.P(id='lines_slider_output', style={ 'margin-top': '40px' @@ -229,7 +233,7 @@ def update_output(n_clicks, lines_slider, cpu): #if __name__ == 'app': if True: - rango = 100 + rango = 10 lines = lines_slider @@ -265,7 +269,7 @@ def update_output(n_clicks, lines_slider, cpu): children = [ dcc.Tabs(id='tabs4', value='tab4-1', children=[ - dcc.Tab(label='Plots', value='tab4-1'), + dcc.Tab(label='Similation Test', value='tab4-1'), ]), html.Div(id='tabs4-content') ] @@ -278,10 +282,10 @@ def render_content2(tab): if tab == 'tab4-1': return html.Div([ dcc.Tabs(id='tabs5', value='tab5-3', children=[ - dcc.Tab(label='Breal - Bsim', value='tab5-1'), - dcc.Tab(label='Breal vs Bsim', value='tab5-2'), - dcc.Tab(label='Heatmaps', value='tab5-3'), - dcc.Tab(label='BoxPlot', value='tab5-4'), + dcc.Tab(label='Bland-Altman analysis', value='tab5-1'), + dcc.Tab(label='Correlation analysis', value='tab5-2'), + dcc.Tab(label='Self test', value='tab5-3'), + dcc.Tab(label='Number of Cell types', value='tab5-4'), ]), html.Div(id='tabs5-content') ]) @@ -299,7 +303,6 @@ def render_content1(tab): mean = np.mean(betasSim - betasHat) std = np.std(betasSim - betasHat) return html.Div([ - html.H3('Real betas - Simulated betas'), dcc.Graph( id='graph-3', figure=go.Figure(data=go.Scatter( @@ -362,7 +365,6 @@ def render_content1(tab): betasHat = betas.to_numpy(copy=True) betasHat = betasHat.flatten() return html.Div([ - html.H3('Real betas vs Simulated betas'), dcc.Graph( id='graph-3', figure=go.Figure(data=go.Scatter( @@ -394,7 +396,6 @@ def render_content1(tab): elif tab == 'tab5-3': items = [result1.Subjects[0].MIXprop[0].iloc[j].values for j in range(len(result1.Subjects[0].MIXprop[0]))] return html.Div([ - html.H3('Aca un titulo para el heatmap (o no)'), dcc.Graph( id='graph-3', figure=go.Figure(data=go.Heatmap( @@ -416,7 +417,6 @@ def render_content1(tab): elif tab == 'tab5-4': items = [go.Box(y=estimate_lines[(ids.values == j)[0]][0], name = str(j)) for j in range(lines[0],lines[1])] return html.Div([ - html.H3('Aca titulo para el boxplot'), dcc.Graph( id='graph-3', figure=go.Figure(data=items, From ce43261a5a7ff5d43222fe2a947cd0f31fffed62 Mon Sep 17 00:00:00 2001 From: Matias Miranda Date: Wed, 27 Nov 2019 20:56:43 -0300 Subject: [PATCH 33/52] changes --- app/pages/__pycache__/validate.cpython-37.pyc | Bin 9526 -> 9526 bytes app/pages/validate.py | 2 +- 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/app/pages/__pycache__/validate.cpython-37.pyc b/app/pages/__pycache__/validate.cpython-37.pyc index d4c43a2cb9fb973ac3fd305a3f9ffb838f769a3f..b5208dd164e65f6cc28cd94cc8789104214ebd79 100644 GIT binary patch delta 29 jcmdnywatsyiI Date: Wed, 27 Nov 2019 21:45:50 -0300 Subject: [PATCH 34/52] bland altman percetns --- app/pages/__pycache__/validate.cpython-37.pyc | Bin 9526 -> 10810 bytes app/pages/validate.py | 203 +++++++++++++----- 2 files changed, 150 insertions(+), 53 deletions(-) diff --git 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z#z;hzB9Yi@1sk*SP3a_0??HMmVqf_xNgBK7^Oht%CEcH1=X@=67YFU*VulOGn#z79 zm)X*CPrH6-$I;r$8(2u)tZH;15UEXW$Quv*QAba4h;A-;HmQSP2g|pRi|pI-8i{v9 TdY!raKJq(T>)*r9`VagIq(+|P diff --git a/app/pages/validate.py b/app/pages/validate.py index bbea388..bb1b47a 100644 --- a/app/pages/validate.py +++ b/app/pages/validate.py @@ -233,7 +233,7 @@ def update_output(n_clicks, lines_slider, cpu): #if __name__ == 'app': if True: - rango = 10 + rango = 500 lines = lines_slider @@ -290,6 +290,91 @@ def render_content2(tab): html.Div(id='tabs5-content') ]) +@app.callback(Output('graph1-div', 'children'), + [Input('drop_graph1', 'value')]) +def render_graph1 (value): + global result1, result2, betas, lines, estimate_lines, ids + count = len(result2.Subjects[0].MIXprop[0]) + print(value) + if value == 'pro': + betasSim = result2.Subjects[0].MIXprop[0].T.to_numpy(copy=True) + betasSim = betasSim.flatten() + betasHat = betas.to_numpy(copy=True) + betasHat = betasHat.flatten() + mean = np.mean(betasSim - betasHat) + std = np.std(betasSim - betasHat) + xx = betasHat + yy = betasSim - betasHat + elif value == 'per': + betasSim = result2.Subjects[0].MIXprop[0].T.to_numpy(copy=True) + betasSim = betasSim.flatten() + betasHat = betas.to_numpy(copy=True) + betasHat = betasHat.flatten() + mean = np.mean(betasSim - betasHat) + std = np.std(betasSim - betasHat) + xx = [0, 100] + yy = 100 * np.divide(betasSim, betasHat, out=np.zeros_like(betasSim), where=betasHat!=0) + print(yy) + + children = [ + dcc.Graph( + id='graph-3', + figure=go.Figure(data=go.Scatter( + x = xx, + y = yy, + mode='markers', + marker_color='rgba(0, 0, 0, .9)' + ), + layout=go.Layout( + shapes=[ + go.layout.Shape( + type="line", + xref="paper", + x0=0, + y0=mean, + x1=1, + y1=mean, + line=dict( + color="red", + width=2, + dash="dashdot", + ), + ), + go.layout.Shape( + type="line", + xref="paper", + x0=0, + y0=(mean+2*std), + x1=1, + y1=(mean+2*std), + line=dict( + color="blue", + width=2, + dash="dashdot", + ), + ), + go.layout.Shape( + type="line", + xref="paper", + x0=0, + y0=(mean-2*std), + x1=1, + y1=(mean-2*std), + line=dict( + color="blue", + width=2, + dash="dashdot", + ), + ) + ], + height=700, + xaxis=dict(tickangle=-90, automargin= True) + ) + ) + ) + ] + return children + @app.callback(Output('tabs5-content', 'children'), [Input('tabs5', 'value')]) def render_content1(tab): @@ -302,62 +387,74 @@ def render_content1(tab): betasHat = betasHat.flatten() mean = np.mean(betasSim - betasHat) std = np.std(betasSim - betasHat) - return html.Div([ - dcc.Graph( - id='graph-3', - figure=go.Figure(data=go.Scatter( - x = betasHat, - y = betasSim - betasHat, - mode='markers', - marker_color='rgba(0, 0, 0, .9)' - ), - layout=go.Layout( - shapes=[ - go.layout.Shape( - type="line", - xref="paper", - x0=0, - y0=mean, - x1=1, - y1=mean, - line=dict( - color="red", - width=2, - dash="dashdot", - ), - ), - go.layout.Shape( - type="line", - xref="paper", - x0=0, - y0=(mean+2*std), - x1=1, - y1=(mean+2*std), - line=dict( - color="blue", - width=2, - dash="dashdot", + return html.Div( + children = [ + dcc.Dropdown( + id='drop_graph1', + options=[ + {'label': 'Proportions', 'value': 'pro'}, + {'label': 'Percents', 'value': 'per'} + ], + value='pro' + ), + html.Div(id='graph1-div', + children = [ + dcc.Graph( + id='graph-3', + figure=go.Figure(data=go.Scatter( + x = betasHat, + y = betasSim - betasHat, + mode='markers', + marker_color='rgba(0, 0, 0, .9)' + ), + layout=go.Layout( + shapes=[ + go.layout.Shape( + type="line", + xref="paper", + x0=0, + y0=mean, + x1=1, + y1=mean, + line=dict( + color="red", + width=2, + dash="dashdot", + ), ), - ), - go.layout.Shape( - type="line", - xref="paper", - x0=0, - y0=(mean-2*std), - x1=1, - y1=(mean-2*std), - line=dict( - color="blue", - width=2, - dash="dashdot", + go.layout.Shape( + type="line", + xref="paper", + x0=0, + y0=(mean+2*std), + x1=1, + y1=(mean+2*std), + line=dict( + color="blue", + width=2, + dash="dashdot", + ), ), - ) - ], - height=700, - xaxis=dict(tickangle=-90, automargin= True) + go.layout.Shape( + type="line", + xref="paper", + x0=0, + y0=(mean-2*std), + x1=1, + y1=(mean-2*std), + line=dict( + color="blue", + width=2, + dash="dashdot", + ), + ) + ], + height=700, + xaxis=dict(tickangle=-90, automargin= True) + ) ) ) - ) + ]) ]) elif tab == 'tab5-2': betasSim = result2.Subjects[0].MIXprop[0].T.to_numpy(copy=True) From 007c159496c772c7eacb05c0d02c74226d979510 Mon Sep 17 00:00:00 2001 From: Matias Miranda Date: Mon, 2 Dec 2019 10:11:17 -0300 Subject: [PATCH 35/52] dev validate --- app/pages/__pycache__/validate.cpython-37.pyc | Bin 10810 -> 11241 bytes app/pages/validate.py | 152 +++++++++--------- 2 files changed, 80 insertions(+), 72 deletions(-) diff --git a/app/pages/__pycache__/validate.cpython-37.pyc b/app/pages/__pycache__/validate.cpython-37.pyc index 75fd70ff97cd8cf6e28e0adb321652a12137857e..f62317c1ed0e9fd81fac532973864dcde0f71449 100644 GIT binary patch delta 5002 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zQ7eHki6HJNVs~&LNAWt7HjY=W3O!7etY`nLqnAB{x}sj;^p~tMUPD+0z*g_drL#I^ zcOv0Ameu+2hRza3)m8`dmIZ&`M8t 0).sum() for i in range(rango)]) metrics2 = result2.Subjects[0].ACCmetrix[0].reset_index() vector = [len(x[1]) for x in subjects] - ids = pd.DataFrame(np.column_stack(vector)) + ids = pd.DataFrame(np.column_stack(vector)) children = [ dcc.Tabs(id='tabs4', value='tab4-1', children=[ @@ -295,82 +303,82 @@ def render_content2(tab): def render_graph1 (value): global result1, result2, betas, lines, estimate_lines, ids count = len(result2.Subjects[0].MIXprop[0]) - print(value) - if value == 'pro': - betasSim = result2.Subjects[0].MIXprop[0].T.to_numpy(copy=True) - betasSim = betasSim.flatten() - betasHat = betas.to_numpy(copy=True) - betasHat = betasHat.flatten() - mean = np.mean(betasSim - betasHat) - std = np.std(betasSim - betasHat) + betasSim = result2.Subjects[0].MIXprop[0].T.to_numpy(copy=True) + betasSim = betasSim.flatten() + betasHat = betas.to_numpy(copy=True) + betasHat = betasHat.flatten() + mean = np.mean(betasSim - betasHat) + std = np.std(betasSim - betasHat) + if value == 'pro': xx = betasHat yy = betasSim - betasHat - elif value == 'per': - betasSim = result2.Subjects[0].MIXprop[0].T.to_numpy(copy=True) - betasSim = betasSim.flatten() - betasHat = betas.to_numpy(copy=True) - betasHat = betasHat.flatten() - mean = np.mean(betasSim - betasHat) - std = np.std(betasSim - betasHat) - xx = [0, 100] - yy = 100 * np.divide(betasSim, betasHat, out=np.zeros_like(betasSim), where=betasHat!=0) - print(yy) + elif value == 'per': + xx = betasHat + m = (betasSim + betasHat)/2 + yy = (betasSim - betasHat) + yy = 100 * np.divide(yy, m, out=np.zeros_like(yy), where=m!=0) - children = [ - dcc.Graph( - id='graph-3', - figure=go.Figure(data=go.Scatter( + + print(r2_score(betasHat, betasSim, multioutput=None)) + + fig = make_subplots(rows=1, cols=2, column_widths=[0.7, 0.3], shared_yaxes=True) + fig.add_trace(go.Scatter( x = xx, y = yy, mode='markers', marker_color='rgba(0, 0, 0, .9)' + ),row=1, col=1) + fig.add_trace(go.Violin(y=yy, box_visible=True, line_color='black', + meanline_visible=True, fillcolor='lightseagreen', opacity=0.6, + x0='Total Bill'),row=1, col=2) + + + fig['layout'].update(shapes=[ + go.layout.Shape( + type="line", + xref="x1", + x0=0, + y0=mean, + x1=1, + y1=mean, + line=dict( + color="red", + width=2, + dash="dashdot", + ), + ), + go.layout.Shape( + type="line", + xref="x1", + x0=0, + y0=(mean+2*std), + x1=1, + y1=(mean+2*std), + line=dict( + color="blue", + width=2, + dash="dashdot", ), - layout=go.Layout( - shapes=[ - go.layout.Shape( - type="line", - xref="paper", - x0=0, - y0=mean, - x1=1, - y1=mean, - line=dict( - color="red", - width=2, - dash="dashdot", - ), - ), - go.layout.Shape( - type="line", - xref="paper", - x0=0, - y0=(mean+2*std), - x1=1, - y1=(mean+2*std), - line=dict( - color="blue", - width=2, - dash="dashdot", - ), - ), - go.layout.Shape( - type="line", - xref="paper", - x0=0, - y0=(mean-2*std), - x1=1, - y1=(mean-2*std), - line=dict( - color="blue", - width=2, - dash="dashdot", - ), - ) - ], - height=700, - xaxis=dict(tickangle=-90, automargin= True) - ) - ) + ), + go.layout.Shape( + type="line", + xref="x1", + x0=0, + y0=(mean-2*std), + x1=1, + y1=(mean-2*std), + line=dict( + color="blue", + width=2, + dash="dashdot", + ), + ) + ]) + + children = [ + dcc.Graph( + id='graph-3', + figure=fig ) ] return children From ae6186e6d7239b5d25337c6cee0af862dc23edc7 Mon Sep 17 00:00:00 2001 From: Matias Miranda Date: Tue, 3 Dec 2019 00:26:06 -0300 Subject: [PATCH 36/52] r2 --- Mixture/.pypirc | 8 + Mixture/LICENSE | 21 +++ Mixture/MANIFEST.in | 1 + Mixture/Mixture.egg-info/PKG-INFO | 26 ++- Mixture/Mixture.egg-info/SOURCES.txt | 2 + Mixture/Mixture.egg-info/requires.txt | 6 +- Mixture/Mixture/Mixer.py | 2 +- Mixture/Mixture/Utils.py | 16 +- .../Mixture/__pycache__/Mixer.cpython-37.pyc | Bin 0 -> 1907 bytes .../Mixture/__pycache__/Utils.cpython-37.pyc | Bin 0 -> 2122 bytes .../__pycache__/__init__.cpython-37.pyc | Bin 0 -> 2180 bytes .../__pycache__/nuSvmRobust.cpython-37.pyc | Bin 0 -> 3025 bytes .../tuneSvmForDeconv.cpython-37.pyc | Bin 0 -> 1359 bytes Mixture/Mixture/nuSvmRobust.py | 6 +- Mixture/README.md | 15 ++ Mixture/build/lib/Mixture/Utils.py | 5 +- Mixture/build/lib/Mixture/__init__.py | 61 +++---- Mixture/build/lib/Mixture/nuSvmRobust.py | 6 +- Mixture/dist/Mixture-0.1.tar.gz | Bin 4349 -> 0 bytes Mixture/dist/Mixture-0.5-py3-none-any.whl | Bin 6315 -> 0 bytes Mixture/setup.py | 19 ++- NewmanFL TIL10.ipynb | 156 +++++++++++------- Test Beta Noise List.ipynb | 29 ++-- Untitled.ipynb | 49 +++++- app/__pycache__/app.cpython-37.pyc | Bin 339 -> 339 bytes app/pages/__pycache__/__init__.cpython-37.pyc | Bin 151 -> 151 bytes app/pages/__pycache__/index.cpython-37.pyc | Bin 9105 -> 9105 bytes app/pages/__pycache__/validate.cpython-37.pyc | Bin 11241 -> 10952 bytes app/pages/validate.py | 96 +++-------- 29 files changed, 313 insertions(+), 211 deletions(-) create mode 100644 Mixture/.pypirc create mode 100644 Mixture/LICENSE create mode 100644 Mixture/MANIFEST.in create mode 100644 Mixture/Mixture/__pycache__/Mixer.cpython-37.pyc create mode 100644 Mixture/Mixture/__pycache__/Utils.cpython-37.pyc create mode 100644 Mixture/Mixture/__pycache__/__init__.cpython-37.pyc create mode 100644 Mixture/Mixture/__pycache__/nuSvmRobust.cpython-37.pyc create mode 100644 Mixture/Mixture/__pycache__/tuneSvmForDeconv.cpython-37.pyc create mode 100644 Mixture/README.md delete mode 100644 Mixture/dist/Mixture-0.1.tar.gz delete mode 100644 Mixture/dist/Mixture-0.5-py3-none-any.whl diff --git a/Mixture/.pypirc b/Mixture/.pypirc new file mode 100644 index 0000000..d1fa504 --- /dev/null +++ b/Mixture/.pypirc @@ -0,0 +1,8 @@ +[distutils] +index-servers = + pypi + +[pypi] +repository: https://pypi.python.org/pypi +username: SmMatias +password: Mmatias23 diff --git a/Mixture/LICENSE b/Mixture/LICENSE new file mode 100644 index 0000000..19ce3da --- /dev/null +++ b/Mixture/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2019 MixturePy + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. \ No newline at end of file diff --git a/Mixture/MANIFEST.in b/Mixture/MANIFEST.in new file mode 100644 index 0000000..d774087 --- /dev/null +++ b/Mixture/MANIFEST.in @@ -0,0 +1 @@ +include data/* \ No newline at end of file diff --git a/Mixture/Mixture.egg-info/PKG-INFO b/Mixture/Mixture.egg-info/PKG-INFO index ae1b474..a8225d6 100644 --- a/Mixture/Mixture.egg-info/PKG-INFO +++ b/Mixture/Mixture.egg-info/PKG-INFO @@ -1,10 +1,28 @@ -Metadata-Version: 1.0 +Metadata-Version: 2.1 Name: Mixture -Version: 0.7 +Version: 0.8 Summary: Mixture for Py Home-page: https://github.com/MsMatias/MixturePy Author: Mixture -Author-email: UNKNOWN License: MIT -Description: UNKNOWN +Description: # MIXTUREpy + + A v-SVR based noise constrained Recursive Feature Extraction algorithm for robust deconvolution of cell-types mixture from molecular signatures en python + + Since the significant impact of immunotherapy in cancer, the estimation of the immune cell-type proportions present in a tumor becomes crucial. Currently, the deconvolution of the cell mixture content of a tumor is carried out by different analytic tools, yet the accuracy of inferred cell type proportions has room for improvement. We improve tumor immune environment characterization developing MIXTURE, an analytical method based on a noise constrained recursive variable selection for a support vector regression + + + ### Prerequisites + + The current "functional like" version of the software requires the following libraries, however, this package download automatically yours dependencies + * pandas + * numpy + * sklearn + * multiprocessing + * joblib Platform: UNKNOWN +Classifier: Programming Language :: Python :: 3 +Classifier: License :: OSI Approved :: MIT License +Classifier: Operating System :: OS Independent +Requires-Python: >=3.6 +Description-Content-Type: text/markdown diff --git a/Mixture/Mixture.egg-info/SOURCES.txt b/Mixture/Mixture.egg-info/SOURCES.txt index 52c585c..aecf6f3 100644 --- a/Mixture/Mixture.egg-info/SOURCES.txt +++ b/Mixture/Mixture.egg-info/SOURCES.txt @@ -1,3 +1,5 @@ +MANIFEST.in +README.md setup.py Mixture/Mixer.py Mixture/Utils.py diff --git a/Mixture/Mixture.egg-info/requires.txt b/Mixture/Mixture.egg-info/requires.txt index acaea69..5b12908 100644 --- a/Mixture/Mixture.egg-info/requires.txt +++ b/Mixture/Mixture.egg-info/requires.txt @@ -1,6 +1,6 @@ -joblib -numpy -openpyxl pandas +numpy scikit-learn +joblib xlrd +openpyxl diff --git a/Mixture/Mixture/Mixer.py b/Mixture/Mixture/Mixer.py index c06b8ab..7b9c70f 100644 --- a/Mixture/Mixture/Mixer.py +++ b/Mixture/Mixture/Mixer.py @@ -69,4 +69,4 @@ def Mixer(X, Y, cores): matRes.index = matWp.index.values - return(pd.DataFrame([[matWa, matWp, matRes]], columns=['MIXabs', 'MIXprop', 'ACCmetrix'])) + return (pd.DataFrame([[matWa, matWp, matRes]], columns=['MIXabs', 'MIXprop', 'ACCmetrix'])) diff --git a/Mixture/Mixture/Utils.py b/Mixture/Mixture/Utils.py index 2a6efc4..aab6096 100644 --- a/Mixture/Mixture/Utils.py +++ b/Mixture/Mixture/Utils.py @@ -1,3 +1,4 @@ +import pkg_resources import pandas as pd import numpy as np import random @@ -16,6 +17,19 @@ def sampleRandom (Y, i, verbose = 0): return vector[[random.randrange(Y.shape[0] * Y.shape[1]) for x in range(Y.shape[0])]] +def loadSignature(sig): + if sig == 'LM22' or sig == 'lm22': + resource_path = pkg_resources.resource_filename(__name__, '/data/LM22Signature.xlsx') + signature = pd.read_excel(resource_path, sheet_name = 0) + elif sig == 'TIL10' or sig == 'til10': + resource_path = pkg_resources.resource_filename(__name__, '/data/TIL10_signature.xlsx') + signature = pd.read_excel(resource_path, sheet_name = 0) + else: + signature = None + print('Error, Type "LM22" or "TIL10"') + + return signature + def getPValues (x, i): return pd.DataFrame([sum(x.RMSEa < i.loc[:,'RMSEa']), sum(x.RMSEp < i.loc[:,'RMSEp']), @@ -27,7 +41,7 @@ def generateXlsx (result, pValues, nameFile): with pd.ExcelWriter( nameFile + '.xlsx') as writer: result.Subjects[0].MIXabs[0].to_excel(writer, sheet_name='Absolute') result.Subjects[0].MIXprop[0].to_excel(writer, sheet_name='Proportions') - result.Subjects[0].ACCmetrix[0].to_excel(writer, sheet_name='Metrics') + result.Subjects[0].ACCmetrix[0].to_excel(writer, sheet_name='Metrics') if pValues is not None: pValues.to_excel(writer, sheet_name='Pvalues') result.usedGenes[0].to_excel(writer, sheet_name='UsedGenes', index=False) \ No newline at end of file diff --git a/Mixture/Mixture/__pycache__/Mixer.cpython-37.pyc b/Mixture/Mixture/__pycache__/Mixer.cpython-37.pyc new file mode 100644 index 0000000000000000000000000000000000000000..8ce876c8a771ff035fe4631ea1b0fe6eb373a63f GIT binary patch literal 1907 zcmb_dOK(&+6t;ce^CB<8B&alHfjX5seQ&A=3JK6G5=BW{;A*1Lov|72a9`LSl!@-F zpn@(U^(Q2&s#1SRS6zEmshj36AXV+LXM&JmSzn!(ee835{Mq+byourah!)jU! 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Currently, the deconvolution of the cell mixture content of a tumor is carried out by different analytic tools, yet the accuracy of inferred cell type proportions has room for improvement. We improve tumor immune environment characterization developing MIXTURE, an analytical method based on a noise constrained recursive variable selection for a support vector regression + + +### Prerequisites + +The current "functional like" version of the software requires the following libraries, however, this package download automatically yours dependencies + * pandas + * numpy + * sklearn + * multiprocessing + * joblib \ No newline at end of file diff --git a/Mixture/build/lib/Mixture/Utils.py b/Mixture/build/lib/Mixture/Utils.py index 2a6efc4..0d61302 100644 --- a/Mixture/build/lib/Mixture/Utils.py +++ b/Mixture/build/lib/Mixture/Utils.py @@ -27,7 +27,6 @@ def generateXlsx (result, pValues, nameFile): with pd.ExcelWriter( nameFile + '.xlsx') as writer: result.Subjects[0].MIXabs[0].to_excel(writer, sheet_name='Absolute') result.Subjects[0].MIXprop[0].to_excel(writer, sheet_name='Proportions') - result.Subjects[0].ACCmetrix[0].to_excel(writer, sheet_name='Metrics') - if pValues is not None: - pValues.to_excel(writer, sheet_name='Pvalues') + result.Subjects[0].ACCmetrix[0].to_excel(writer, sheet_name='Metrics') + pValues.to_excel(writer, sheet_name='Pvalues') result.usedGenes[0].to_excel(writer, sheet_name='UsedGenes', index=False) \ No newline at end of file diff --git a/Mixture/build/lib/Mixture/__init__.py b/Mixture/build/lib/Mixture/__init__.py index c3c1b6b..45c1978 100644 --- a/Mixture/build/lib/Mixture/__init__.py +++ b/Mixture/build/lib/Mixture/__init__.py @@ -35,55 +35,42 @@ def Mixture (X, Y, cores = 1, iter = 100, nameFile = 'output'): matRand = list() - if iter > 0: + print('Creating population (Count: ' + str(iter) + ')...') - print('Creating population (Count: ' + str(iter) + ')...') + matRand = Parallel(n_jobs=cores, backend='threading')(delayed(Utils.sampleRandom)(Y = Y, i = i, verbose = 1) for i in range(iter)) - matRand = Parallel(n_jobs=cores, backend='threading')(delayed(Utils.sampleRandom)(Y = Y, i = i, verbose = 1) for i in range(iter)) + #for i in range(iter): + # matRand.append(Utils.sampleRandom(Y, i, 1)) - #for i in range(iter): - # matRand.append(Utils.sampleRandom(Y, i, 1)) + print('Finish creating population') - print('Finish creating population') + matRand = map(list, zip(*matRand)) + matRand = pd.DataFrame(matRand, Y['Gene symbol']) + matRand.reset_index(drop=True, inplace=True) + matRand = pd.concat([Y['Gene symbol'], matRand], sort = False, axis = 1) - matRand = map(list, zip(*matRand)) - matRand = pd.DataFrame(matRand, Y['Gene symbol']) - matRand.reset_index(drop=True, inplace=True) - matRand = pd.concat([Y['Gene symbol'], matRand], sort = False, axis = 1) + print('Finish') - print('Finish') + print('Running mixer with porpulationBased (Count: ' + str(matRand.shape[1]) + ')') + # Run Mixer Function with Random Matrix + outMix = Mixer(X, matRand, cores) - print('Running mixer with porpulationBased (Count: ' + str(matRand.shape[1]) + ')') - # Run Mixer Function with Random Matrix - outMix = Mixer(X, matRand, cores) + #geneList = pd.DataFrame(geneList) - #geneList = pd.DataFrame(geneList) + result = pd.DataFrame([orig, outMix.ACCmetrix[0], geneList], ['Subjects', 'PermutedMetrix', 'usedGenes']).T - result = pd.DataFrame([orig, outMix.ACCmetrix[0], geneList], ['Subjects', 'PermutedMetrix', 'usedGenes']).T + result.usedGenes[0] = pd.DataFrame(result.usedGenes[0]) - result.usedGenes[0] = pd.DataFrame(result.usedGenes[0]) - - pValues = list() - - pValues = result.Subjects[0].ACCmetrix[0].apply(Utils.getPValues, args=(result.PermutedMetrix[0], ), axis = 1) - pValues = pd.DataFrame(pValues.values.tolist(), index = pValues.index, columns=['RMSEa', 'RMSEa', 'Ra', 'Rp']) - - print('Finish') - - Utils.generateXlsx (result, pValues, nameFile) - - return result, pValues - else: - - result = pd.DataFrame([orig, geneList], ['Subjects', 'usedGenes']).T - - result.usedGenes[0] = pd.DataFrame(result.usedGenes[0]) - - print('Finish') + pValues = list() + + pValues = result.Subjects[0].ACCmetrix[0].apply(Utils.getPValues, args=(result.PermutedMetrix[0], ), axis = 1) + pValues = pd.DataFrame(pValues.values.tolist(), index = pValues.index, columns=['RMSEa', 'RMSEa', 'Ra', 'Rp']) + + print('Finish') - Utils.generateXlsx (result, None, nameFile) + Utils.generateXlsx (result, pValues, nameFile) - return result, None + return result, pValues diff --git a/Mixture/build/lib/Mixture/nuSvmRobust.py b/Mixture/build/lib/Mixture/nuSvmRobust.py index 4e13402..e1e2c24 100644 --- a/Mixture/build/lib/Mixture/nuSvmRobust.py +++ b/Mixture/build/lib/Mixture/nuSvmRobust.py @@ -11,9 +11,9 @@ # from ipynb.fs.full.tuneSvmForDeconv import tuneSvmForDeconv from Mixture import tuneSvmForDeconv -pd.set_option('display.max_columns', None) -pd.set_option('display.max_rows', None) -pd.set_option('display.max_colwidth', -1) +#pd.set_option('display.max_columns', None) +#pd.set_option('display.max_rows', None) +#pd.set_option('display.max_colwidth', -1) # Function nuSvmRobust # 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zK*p6Z@mKU;M%MM{>juW}=*g>Q=CA0#*%{XbuJ=8^1(vQnk-r4~?1KKT@lVJ2Zw=k6 zZt5?Me>l|tF7!_<{4Hca{y(8>RrwbguWMZg&2KHmE2rnbNnO+WH+HTIU5CSOp@sh| r^am=g3tmUW{{(^TSDWgeGy4xP)RnNWZb|?E-qq`U1sK|2ohsm8^qDC6 diff --git a/Mixture/setup.py b/Mixture/setup.py index 899909b..31e4355 100644 --- a/Mixture/setup.py +++ b/Mixture/setup.py @@ -1,18 +1,33 @@ from setuptools import setup +with open("README.md", "r") as fh: + long_description = fh.read() + setup(name='Mixture', - version='0.7', + version='0.8', description='Mixture for Py', + long_description=long_description, + long_description_content_type="text/markdown", url='https://github.com/MsMatias/MixturePy', + include_package_data = True, author='Mixture', license='MIT', packages=['Mixture'], + package_data = { + 'Mixture': ['data/*'] + }, install_requires=[ 'pandas', 'numpy', 'scikit-learn', 'joblib', 'xlrd', - 'openpyxl' + 'openpyxl' + ], + classifiers=[ + "Programming Language :: Python :: 3", + "License :: OSI Approved :: MIT License", + "Operating System :: OS Independent", ], + python_requires='>=3.6', zip_safe=False) \ No newline at end of file diff --git a/NewmanFL TIL10.ipynb b/NewmanFL TIL10.ipynb index 0a33b39..fdd9440 100644 --- a/NewmanFL TIL10.ipynb +++ b/NewmanFL TIL10.ipynb @@ -40,7 +40,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -50,7 +50,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -60,7 +60,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": { "scrolled": true }, @@ -73,89 +73,89 @@ "Normalizing data\n", "Processing...\n", "----------------------------------------------------------------------------------------------------\n", - "Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", "\n", "--------------------------------------------------\n", + "Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gzIter: 1 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz\n", + "Iter: 1 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", + "Iter: 1 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gzIter: 1 Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz\n", "\n", - "Iter: 1 Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz\n", "Iter: 1 Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz\n", "Iter: 2 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", - "Iter: 2 Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gzIter: 2 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz\n", - "\n", "Iter: 2 Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz\n", - "Iter: 3 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", + "Iter: 2 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz\n", + "Iter: 2 Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz\n", "Iter: 3 Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz\n", - "Iter: 3 Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz\n", - "Iter: 3 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz\n", - "Iter: 4 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", + "Iter: 3 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gzIter: 3 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", + "\n", + "--------------------------------------------------Iter: 3 Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz\n", + "\n", + "Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", + "Iter: 4 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", "Iter: 1 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", "--------------------------------------------------\n", "Iter: 1 Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz\n", - "Iter: 2 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz\n", - "Iter: 1 Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gzIter: 1 Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz\n", + "Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gzIter: 1 Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz\n", "\n", "Iter: 2 Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz\n", + "Iter: 1 Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz\n", "Iter: 3 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz\n", + "Iter: 2 Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gzIter: 3 Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz\n", + "\n", "Iter: 2 Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz\n", - "Iter: 3 Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz\n", - "Iter: 2 Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz\n", - "Iter: 4 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz\n", - "--------------------------------------------------\n", - "Iter: 3 Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gzSubject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Iter: 4 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gzIter: 3 Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz\n", "\n", "--------------------------------------------------\n", + "Subject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 3 Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz\n", - "Iter: 1 Subject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz\n", - "--------------------------------------------------Iter: 1 Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz\n", - "\n", - "Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", - "Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>Iter: 3 Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz\n", "--------------------------------------------------\n", - "Iter: 2 Subject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz\n", - "Iter: 2 Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz\n", - "Iter: 1 Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gzIter: 1 Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gzIter: 3 Subject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz\n", "\n", + "Iter: 1 Subject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz\n", + "Iter: 1 Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz\n", + "Iter: 1 Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz\n", + "--------------------------------------------------Iter: 2 Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz\n", + "Iter: 2 Subject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz\n", "\n", + "Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz\n", + "Iter: 1 Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz\n", + "Iter: 3 Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz\n", + "Iter: 2 Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz\n", "--------------------------------------------------\n", "Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz\n", "Iter: 2 Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz\n", - "Iter: 3 Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz\n", - "Iter: 1 Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz\n", - "Iter: 3 Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz\n", + "Iter: 1 Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gzIter: 3 Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz\n", + "\n", "--------------------------------------------------\n", "Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 2 Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz\n", - "Iter: 3 Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz\n", - "Iter: 3 Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz\n", + "Iter: 3 Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gzIter: 2 Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz\n", "Iter: 1 Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz\n", + "\n", + "Iter: 3 Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz\n", "Iter: 2 Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz\n", "Iter: 3 Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz\n", "_____________________________________________________________________\n", @@ -164,16 +164,16 @@ "Get Medias\n", "Creating population (Count: 4)...\n", "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", "--------------------------------------------------\n", + "--------------------------------------------------Creating Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "\n", - "Creating Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", "Creating Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", "Creating Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "\n", "--------------------------------------------------\n", "Finish creating population\n", "Finish\n", @@ -181,25 +181,27 @@ "Normalizing data\n", "Processing...\n", "----------------------------------------------------------------------------------------------------\n", - "Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "\n", + "Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", "--------------------------------------------------\n", "Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", "--------------------------------------------------\n", - "Iter: 1 Subject: 0Iter: 1 Subject: 3\n", - "\n", "Iter: 1 Subject: 1\n", + "Iter: 1 Subject: 0\n", "Iter: 1 Subject: 2\n", + "Iter: 1 Subject: 3\n", + "Iter: 2 Subject: 1\n", "Iter: 2 Subject: 0\n", - "Iter: 2 Subject: 3Iter: 2 Subject: 1\n", - "Iter: 2 Subject: 2\n", + "Iter: 2 Subject: 2Iter: 2 Subject: 3\n", "\n", + "Iter: 3 Subject: 0\n", + "Iter: 3 Subject: 1\n", "Iter: 3 Subject: 2\n", "_____________________________________________________________________\n", "Finish nuSvm\n", @@ -215,24 +217,50 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([0.90256962, 0.09743038, 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ])" + "array([[0.90256962, 0.09743038, 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. ],\n", + " [0.7136939 , 0.1289198 , 0. , 0. , 0. ,\n", + " 0. , 0.11802777, 0.03935852, 0. , 0. ],\n", + " [0.79589517, 0.09674959, 0. , 0. , 0. ,\n", + " 0. , 0. , 0.03918719, 0.06816806, 0. ],\n", + " [0.46974898, 0.30925149, 0. , 0. , 0. ,\n", + " 0. , 0.18748422, 0.03351531, 0. , 0. ],\n", + " [0.60193307, 0.11220227, 0.16187135, 0. , 0. ,\n", + " 0. , 0.10233414, 0.02165916, 0. , 0. ],\n", + " [0.49398868, 0.12679016, 0.06592614, 0. , 0. ,\n", + " 0. , 0.26288403, 0.05041099, 0. , 0. ],\n", + " [0.70989344, 0.14510445, 0. , 0. , 0. ,\n", + " 0. , 0.05838125, 0.05919139, 0.02742947, 0. ],\n", + " [0.88472318, 0.0553045 , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0.05997232, 0. ],\n", + " [0.89564802, 0. , 0. , 0. , 0. ,\n", + " 0. , 0.10435198, 0. , 0. , 0. ],\n", + " [0.67255126, 0.15353534, 0. , 0. , 0. ,\n", + " 0. , 0.13137347, 0.02168938, 0.02085054, 0. ],\n", + " [0.56230175, 0.08673577, 0.20400794, 0. , 0. ,\n", + " 0. , 0.12470417, 0.02225037, 0. , 0. ],\n", + " [0.93644457, 0.01161619, 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0.05193924, 0. ],\n", + " [0.54997657, 0.04595101, 0.06601392, 0. , 0. ,\n", + " 0. , 0.30917694, 0.02888156, 0. , 0. ],\n", + " [0.66715859, 0.13556801, 0. , 0. , 0. ,\n", + " 0. , 0.15357514, 0.04369827, 0. , 0. ]])" ] }, - "execution_count": 17, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "oo = result.Subjects[0].MIXprop[0].to_numpy(copy = True)\n", - "oo[0]" + "oo" ] }, { diff --git a/Test Beta Noise List.ipynb b/Test Beta Noise List.ipynb index 7f83fd4..51f8673 100644 --- a/Test Beta Noise List.ipynb +++ b/Test Beta Noise List.ipynb @@ -2,9 +2,21 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'rpy2'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 8\u001b[0m \u001b[1;31m#Library to read RDS format\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 9\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 10\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrobjects\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mrobjects\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 11\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrobjects\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mpandas2ri\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'rpy2'" + ] + } + ], "source": [ "import pandas as pd\n", "import numpy as np\n", @@ -12,7 +24,6 @@ "import sys\n", "import Mixture\n", "import multiprocessing\n", - "import matplotlib.pyplot as plt\n", "\n", "#Library to read RDS format\n", "import rpy2\n", @@ -180780,18 +180791,6 @@ "display_name": "Python 3", "language": "python", "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.7" } }, "nbformat": 4, diff --git a/Untitled.ipynb b/Untitled.ipynb index ea52dbb..070d28e 100644 --- a/Untitled.ipynb +++ b/Untitled.ipynb @@ -499,6 +499,53 @@ "source": [ "df.data_df" ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.datasets import load_iris\n", + "from sklearn.linear_model import LogisticRegression\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "150" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X, y = load_iris(return_X_y=True)\n", + "len(y)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "clf = LogisticRegression(random_state=0, solver='lbfgs',\n", + " multi_class='multinomial').fit(X, y)\n", + "clf.predict(X[:2, :])\n", + "\n", + "clf.predict_proba(X[:2, :]) \n", + "\n", + "\n", + "clf.score(X, y)" + ] } ], "metadata": { @@ -517,7 +564,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.8" + "version": "3.7.0" } }, "nbformat": 4, diff --git a/app/__pycache__/app.cpython-37.pyc b/app/__pycache__/app.cpython-37.pyc index 7386a61792137b49eeee98fbf8fb14bd3a96bfa5..130aa6d9c4b295f4a511ff11043165033973328e 100644 GIT binary patch delta 20 acmcc2beW0UiI41^5q`TQA0^%rkH@4?9KCR!xhxX`&dYk=Ct)9!OFaa1XR-(&I;e1Zab{?#v_Y z`UuL0`F3_^c6N4mW|r^W`^G)K9bT_X!QYy-e?0tyZBP56?8G+){A`u(1^02r6kRKf z{Ew>Z!Bb;;xUd1dx>g+lAL2&&AnRM$1aZ=X1az1z#~=xvrVU5dLl>l=8+uN1=ruXc z-3%+B5Bg!?BuBk|q`{_U8it@d&zgF-z)D!9+pD+M6j%kruzFF^N3ZlXCKx5hEbarI z+_jxJy&cA2?{Tj4!j5Vitb>o&&{?Y&ggfD`T0;^<7m?5LnhoxOiA8kiV8hZOThg)9 zviS&dw_9A*mSnr+tF}2u$;cR`r7`r>xB`4Z?5^lUECz1`R^fjg^Wd)R@txqv=cIne?ezrGQaDY9g6v7rpAOLM9 zdz=~Gs_#?mK?d#MT5K^~Wqaf3YAmA}SLUcRr|PUJl~xE!cQCOzYQze02tgRz1VkVV znn@QHHEl*mAqg>v<3;m|tL)m3j_g;`iHZEXHhDOBiTzXF7FuNg!flkh8i<2hTZasNQt>oSCe6FtU1>w^VqR&qvqMb;k513p?MdZH3*@ddFtd^ZMe#lX2t+*=g zil^c={Ll(2xWJv`z`fOdC_Kk-EyQWi_N|3bf(Z z{vldHw7?;V6oQ2?-ic;9tp%H=Ad0sif*39rE<_-X$;isMSlMo9(1DIwNeNx1^9BvI z?64L_O=$8sBlQ1fY@;brg^V|*M3oz-iAqL%LAM{WFRs3Z?21~DOO|F%D zk{P_#v&sG~!o>4U+r^XEh?fbzjZn8wXCBt;j>)M^_GsNcIW?>2o_m&l?`^HC2lB!-CsaPe2$mAP05xd8Jql?5G6H zmAMt^YQMR$zswkeK!yM@bkdQqVAb z8GagQMiin}IpL5nRV*d#O0}; z@Phj$w-QE6wWI8=F(Y2!z%V~-7A9}#chZxD2QUDGIjrZ9wl)#I&Xpl_2Lt*#PgYu< z06tLY$ppI6MdlH;m~x!c3st$nsj{2Sz%tC5d%Vf8RZfTHqrF=2EM8aLeWxhS6orv5 zPM5?>@}=H5`>H(Oo9f2OnM4I_I|a0#2rGw)cGOtVd7QMLp&v!c!PklO#Fy|rdny3|I+2lm(#r7YUH!> z@fBhAV|i*t)Vqvwv_(FP3)0=UKX8KBMj{gTteoykvvcy9zFg;3x9hHKajGav+02yQ zOk(k_O!glcu?ht_jZXano4RdBaZc38(rJP}6I}bY{Doel?Qdg3lsL*%C7lv`N$Hw` zK;54Zj1%l8xSL=rK_kVbb0E2evPt}m;2i>MeRVvan-#kFC63h9k7eeIvxZnE@mmCM z6HxYv6Y{=+o>8mldBj&}+RfuWB+O8cN!PO(#& zh+D5$3zi2Tw{t8CyoI^A%Gc!MTG~bCl3#fYwx3>^tgBc8vz9838ehq z;NQBf-T7yxipJFZ>eB2aaV0_jNwC0W^E31EVmiLty3Nnx;6W-wQ~EyL5czCrUE_F9 z-6R+h&(RXr@zPl|uTE|lx`Qpt#i6zCGc-ztO}sB(8|vr(QRJV7cFEN%zwRFMu!tAw HJ`ejZT~)tC delta 3090 zcmai0du&@*8NcV=>l??89VhWKiJf=Sn>KCJv~=x8+qG-gAV@=#wNMzHlke8GkcdKo>O1W7;NdfP{p!3blOS^=wzUV7(VcxU`#S1 znUR~VvJo1p%m`&RfzOCkM!=8wAu+}JN}HjT^q>ve%Phqp4vDgYBO9RuI-v`?&&beI zmeKYe=!HJ$hk-LP>h)t=;Y^} zf1Os=FxY*fK^_X(3Bwjj1jB8Ht(2G;lMjbJ47*{^l5}VrJP3R7z1`@k>=4h(>q_^N zWHiG*7(F2yO)w50KY{60W!MiBOBm?TPDkTjTSLz5sx-kcOjc3Lpk52vRAonAO>#=E zD)11D+4eUg9B?8WT#4`r_@tOqT&@S~Y!;NbYqu?(QQ~Zm_>pqlHCC87uzz{8dRAr! zmo06h%D%MR=zUjV-&p>SKgQT=A{=;}y&x)q^XzxxBTe0H4Y;p$*c5E}-!e%mN+8YD zpJM#g<;R*DSt$eoXo6;FfnZ93P+3{5FVro;Vh(aiUi22d6PW&lq<4+I$}vE^>Dqc1FeAM9@BPv9!>0R)}#0=;Ce(~xblSH zOUtHbjU-QD51)T-cZ8R32v=?hZ*SKXOPewHtdX_YE=!&*h^}y+1;m%b`<+}`o{W6P z-DNxDC&iJ-(@mWA#d77RbKKxrltq1X8*31Iqr)ysna&;&^U?O;SMUR0L+~iVAF<`{ z6X&D4E65s{Tf7qOVqabUS9Ax{&Xdyj#g^8=who#_0Q-{SW-4=|D*c*eenEV$wa@Rx zFOArCVavZHF1G%(WcrIrQ3eU>%Zk0(jo<+dywH%6K?Yx0B~oMpW>coQs1@tL4~-Bg ztElCHrn15$=W7dolaWj^(FsBjF4x(f936-tfr98IlnEnYV!(>%qgYbS2=2aS*9-;s zzU~ect>_9$5eZdQaAdSd{6CB6Ef!JfP77pvN12!%4Q67{S*(XHBHf~==s|*Yiwo`R z8+B%Rj}@|JI#)2~3Z}Typ2RKP8Sh_bxu&wo=^4wHO{b2Uc_W$PhB2EOv7f(gU+_%k z%w)E6XF8kJ>-clxTzpKtAK#kz8Lqk|&#&i~Yr-)9ISJ}iwqWQ?j3-ukpT+_Hb%Jx^ zL}II-=wZ3}hQl^n#EXe|v!xwK=a8Y6R+xjNY4A(p{X~4&%lk;zHJvNWnw;2Uxu*;> znctf<`ESVM>og`GKaMHPTkM!HJ635!M3~QuvmMO3SJyCvQfc0BqLX-B6T9lNE9|fg|vG{J|%NE&Tn(cTWPp^ ziXS*V1`Ll!ixU^`Lg+1P==*<0t=6LT+0o9@jfoXBVj^=hGB7++3b0ZP3u>+OVp+X2 znV9LWv=+50yVV2@+wSPM!z$2mf`hO+MH5|9R%vH$OKk`fURe+)wY4)PT8XQ$&dDuK zd6{u&!L($j*58&?QCo4$oRz-Iv0drck8z^cf`+`?G&DSkm3tfZ`9%cFJI-@+IgaPE zV>Zv9!6B^Zz4Vz5!Xfv#!Kaa>dA=+fdpf-fbt#^lJ32JNpB3XhvC=8he2(D91V16L zkE3fYIcISDrr^Jz(N7cn5m3rUXq*ZT+W`2tlm>Pu=6 zi&(3D3A(YE`I#!KOqSiuBWw6W*)De)zOg6%)^UGFgDSIL?WUEAmuO9k%AzJl2lhm+ zqHFy@{s_J}5D*jiX>o4gy^=kx#<^_H%+9aP7p6$cbGmgcZ+<3=e=26z=0AJP{s+K) zWS1t$5u^z0E&Ccuhp5(OjgJ{7PfzEEYm55ryFP5--y*a91Scgw;>{iVjtJ@d*d<}; j>%A99;VpuzqN4Z95)+s8-NHNgjCXqj3;VE5Hn9H!w*3mx diff --git a/app/pages/validate.py b/app/pages/validate.py index c531c62..6e9d157 100644 --- a/app/pages/validate.py +++ b/app/pages/validate.py @@ -20,7 +20,7 @@ from flask import send_file import plotly.graph_objects as go from plotly.subplots import make_subplots -from sklearn.svm import NuSVR +from scipy import stats from app import app @@ -38,7 +38,6 @@ lines = None estimate_lines = None ids = None -score = None seed(123) @@ -224,7 +223,7 @@ def update_lines(lines_slider): dash.dependencies.State('cpu-slider', 'value')]) def update_output(n_clicks, lines_slider, cpu): - global signature, dataFrameSignature, result1, pValues1, tableMetrics1, result2, pValues2, tableMetrics2, subjects, betas, lines, estimate_lines, ids, score + global signature, dataFrameSignature, result1, pValues1, tableMetrics1, result2, pValues2, tableMetrics2, subjects, betas, lines, estimate_lines, ids if n_clicks is not None: @@ -236,7 +235,7 @@ def update_output(n_clicks, lines_slider, cpu): #if __name__ == 'app': if True: - rango = 10 + rango = 1000 lines = lines_slider @@ -263,10 +262,6 @@ def update_output(n_clicks, lines_slider, cpu): X = dataFrameSignature result2, pValues2 = Mixture.Mixture(X, Y2 , cpu, 1, '') - - clf = NuSVR(kernel='linear', C=1.0, nu=[0.25,0.5,0.75]) - score = clf.score(X, Y2) - print(score) betasSim = result2.Subjects[0].MIXprop[0].to_numpy(copy = True) estimate_lines = pd.DataFrame([(betasSim[i] > 0).sum() for i in range(rango)]) @@ -318,9 +313,8 @@ def render_graph1 (value): yy = (betasSim - betasHat) yy = 100 * np.divide(yy, m, out=np.zeros_like(yy), where=m!=0) - - print(r2_score(betasHat, betasSim, multioutput=None)) - + slope, intercept, r_value, p_value, std_err = stats.linregress(xx, yy) + fig = make_subplots(rows=1, cols=2, column_widths=[0.7, 0.3], shared_yaxes=True) fig.add_trace(go.Scatter( x = xx, @@ -328,12 +322,17 @@ def render_graph1 (value): mode='markers', marker_color='rgba(0, 0, 0, .9)' ),row=1, col=1) + fig.add_trace(go.Scatter(x=xx, y=intercept + slope*xx, + mode='lines', + name='lines'),row=1, col=1) fig.add_trace(go.Violin(y=yy, box_visible=True, line_color='black', - meanline_visible=True, fillcolor='lightseagreen', opacity=0.6, - x0='Total Bill'),row=1, col=2) + meanline_visible=True, fillcolor='blue', opacity=0.8, + x0='Violin'),row=1, col=2) - fig['layout'].update(shapes=[ + fig['layout'].update( + height=700, + shapes=[ go.layout.Shape( type="line", xref="x1", @@ -394,7 +393,8 @@ def render_content1(tab): betasHat = betas.to_numpy(copy=True) betasHat = betasHat.flatten() mean = np.mean(betasSim - betasHat) - std = np.std(betasSim - betasHat) + std = np.std(betasSim - betasHat) + return html.Div( children = [ dcc.Dropdown( @@ -405,79 +405,27 @@ def render_content1(tab): ], value='pro' ), - html.Div(id='graph1-div', - children = [ - dcc.Graph( - id='graph-3', - figure=go.Figure(data=go.Scatter( - x = betasHat, - y = betasSim - betasHat, - mode='markers', - marker_color='rgba(0, 0, 0, .9)' - ), - layout=go.Layout( - shapes=[ - go.layout.Shape( - type="line", - xref="paper", - x0=0, - y0=mean, - x1=1, - y1=mean, - line=dict( - color="red", - width=2, - dash="dashdot", - ), - ), - go.layout.Shape( - type="line", - xref="paper", - x0=0, - y0=(mean+2*std), - x1=1, - y1=(mean+2*std), - line=dict( - color="blue", - width=2, - dash="dashdot", - ), - ), - go.layout.Shape( - type="line", - xref="paper", - x0=0, - y0=(mean-2*std), - x1=1, - y1=(mean-2*std), - line=dict( - color="blue", - width=2, - dash="dashdot", - ), - ) - ], - height=700, - xaxis=dict(tickangle=-90, automargin= True) - ) - ) - ) - ]) + html.Div(id='graph1-div') ]) elif tab == 'tab5-2': betasSim = result2.Subjects[0].MIXprop[0].T.to_numpy(copy=True) betasSim = betasSim.flatten() betasHat = betas.to_numpy(copy=True) betasHat = betasHat.flatten() + slope, intercept, r_value, p_value, std_err = stats.linregress(betasHat, betasSim) return html.Div([ dcc.Graph( id='graph-3', - figure=go.Figure(data=go.Scatter( + figure=go.Figure(data=[go.Scatter( x = betasHat, y = betasSim, mode='markers', marker_color='rgba(0, 0, 0, .9)' ), + go.Scatter(x=betasHat, y=intercept + slope*betasHat, + mode='lines', + name='lines') + ], layout=go.Layout( shapes=[ go.layout.Shape( From 5ad7becc9a72e8667389287d1733f52edf6d2b14 Mon Sep 17 00:00:00 2001 From: Matias Miranda Date: Tue, 7 Jan 2020 08:35:42 -0300 Subject: [PATCH 37/52] changes in validate --- .../celllines xlsx-checkpoint.ipynb | 943 ++++ app/assets/css/main.css | 20 + app/pages/__pycache__/validate.cpython-37.pyc | Bin 10952 -> 12408 bytes app/pages/validate.py | 82 +- app/setup.py | 2 +- cellines.ipynb | 8 +- celllines xlsx.ipynb | 4469 +++++++++++++++++ 7 files changed, 5503 insertions(+), 21 deletions(-) create mode 100644 .ipynb_checkpoints/celllines xlsx-checkpoint.ipynb create mode 100644 celllines xlsx.ipynb diff --git a/.ipynb_checkpoints/celllines xlsx-checkpoint.ipynb b/.ipynb_checkpoints/celllines xlsx-checkpoint.ipynb new file mode 100644 index 0000000..fdd9440 --- /dev/null +++ b/.ipynb_checkpoints/celllines xlsx-checkpoint.ipynb @@ -0,0 +1,943 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import os\n", + "import sys\n", + "import Mixture\n", + "import multiprocessing\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Num cores: 4\n" + ] + } + ], + "source": [ + "print('Num cores: ' + str(multiprocessing.cpu_count()))\n", + "\n", + "cores = 4\n", + "iters = 4\n", + "output = 'NewmanFL_TIL10_500pops'\n", + "\n", + "if cores > multiprocessing.cpu_count():\n", + " cores = multiprocessing.cpu_count()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Read xlsx files\n", + "X = pd.read_excel('app/data/TIL10_signature.xlsx', sheet_name = 0) " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# Read xlsx files\n", + "Y = pd.read_excel('data/NewmanFL.xlsx', sheet_name = 0) " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running mixer with subjects (Count: 15)...\n", + "Normalizing data\n", + "Processing...\n", + "----------------------------------------------------------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", + "Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", + "Iter: 1 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gzIter: 1 Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz\n", + "\n", + "Iter: 1 Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz\n", + "Iter: 2 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", + "Iter: 2 Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz\n", + "Iter: 2 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz\n", + "Iter: 2 Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz\n", + "Iter: 3 Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz\n", + "Iter: 3 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gzIter: 3 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", + "\n", + "--------------------------------------------------Iter: 3 Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz\n", + "\n", + "Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", + "Iter: 1 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz\n", + "Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gzIter: 1 Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz\n", + "\n", + "Iter: 2 Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz\n", + "Iter: 1 Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz\n", + "Iter: 3 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz\n", + "Iter: 2 Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gzIter: 3 Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz\n", + "\n", + "Iter: 2 Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz\n", + "Iter: 4 Subject: GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gzIter: 3 Subject: GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz\n", + "\n", + "--------------------------------------------------\n", + "Subject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>Iter: 3 Subject: GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz\n", + "--------------------------------------------------\n", + "\n", + "Iter: 1 Subject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz\n", + "Iter: 1 Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz\n", + "Iter: 1 Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz\n", + "--------------------------------------------------Iter: 2 Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz\n", + "Iter: 2 Subject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz\n", + "\n", + "Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz\n", + "Iter: 1 Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz\n", + "Iter: 3 Subject: GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz\n", + "Iter: 2 Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz\n", + "--------------------------------------------------\n", + "Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz\n", + "Iter: 1 Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gzIter: 3 Subject: GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz\n", + "\n", + "--------------------------------------------------\n", + "Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gzIter: 2 Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz\n", + "Iter: 1 Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz\n", + "\n", + "Iter: 3 Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz\n", + "Iter: 2 Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz\n", + "Iter: 3 Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz\n", + "_____________________________________________________________________\n", + "Finish nuSvm\n", + "Finish mixer\n", + "Get Medias\n", + "Creating population (Count: 4)...\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "--------------------------------------------------Creating Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "--------------------------------------------------\n", + "Creating Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "Creating Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Finish creating population\n", + "Finish\n", + "Running mixer with porpulationBased (Count: 5)\n", + "Normalizing data\n", + "Processing...\n", + "----------------------------------------------------------------------------------------------------\n", + "Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1\n", + "Iter: 1 Subject: 0\n", + "Iter: 1 Subject: 2\n", + "Iter: 1 Subject: 3\n", + "Iter: 2 Subject: 1\n", + "Iter: 2 Subject: 0\n", + "Iter: 2 Subject: 2Iter: 2 Subject: 3\n", + "\n", + "Iter: 3 Subject: 0\n", + "Iter: 3 Subject: 1\n", + "Iter: 3 Subject: 2\n", + "_____________________________________________________________________\n", + "Finish nuSvm\n", + "Finish\n" + ] + } + ], + "source": [ + "# Run Mixer Function\n", + "if __name__ == '__main__':\n", + " result, pValues = Mixture.Mixture(X, Y , cores, iters, output)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[0.90256962, 0.09743038, 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. ],\n", + " [0.7136939 , 0.1289198 , 0. , 0. , 0. ,\n", + " 0. , 0.11802777, 0.03935852, 0. , 0. ],\n", + " [0.79589517, 0.09674959, 0. , 0. , 0. ,\n", + " 0. , 0. , 0.03918719, 0.06816806, 0. ],\n", + " [0.46974898, 0.30925149, 0. , 0. , 0. ,\n", + " 0. , 0.18748422, 0.03351531, 0. , 0. ],\n", + " [0.60193307, 0.11220227, 0.16187135, 0. , 0. ,\n", + " 0. , 0.10233414, 0.02165916, 0. , 0. ],\n", + " [0.49398868, 0.12679016, 0.06592614, 0. , 0. ,\n", + " 0. , 0.26288403, 0.05041099, 0. , 0. ],\n", + " [0.70989344, 0.14510445, 0. , 0. , 0. ,\n", + " 0. , 0.05838125, 0.05919139, 0.02742947, 0. ],\n", + " [0.88472318, 0.0553045 , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0.05997232, 0. ],\n", + " [0.89564802, 0. , 0. , 0. , 0. ,\n", + " 0. , 0.10435198, 0. , 0. , 0. ],\n", + " [0.67255126, 0.15353534, 0. , 0. , 0. ,\n", + " 0. , 0.13137347, 0.02168938, 0.02085054, 0. ],\n", + " [0.56230175, 0.08673577, 0.20400794, 0. , 0. ,\n", + " 0. , 0.12470417, 0.02225037, 0. , 0. ],\n", + " [0.93644457, 0.01161619, 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0.05193924, 0. ],\n", + " [0.54997657, 0.04595101, 0.06601392, 0. , 0. ,\n", + " 0. , 0.30917694, 0.02888156, 0. , 0. ],\n", + " [0.66715859, 0.13556801, 0. , 0. , 0. ,\n", + " 0. , 0.15357514, 0.04369827, 0. , 0. ]])" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "oo = result.Subjects[0].MIXprop[0].to_numpy(copy = True)\n", + "oo" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "a = [result.Subjects[0].MIXprop[0].iloc[j].values for j in range(len(result.Subjects[0].MIXprop[0]))]" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[0.90256962, 0.7136939 , 0.79589517, 0.46974898, 0.60193307,\n", + " 0.49398868, 0.70989344, 0.88472318, 0.89564802, 0.67255126,\n", + " 0.56230175, 0.93644457, 0.54997657, 0.66715859],\n", + " [0.09743038, 0.1289198 , 0.09674959, 0.30925149, 0.11220227,\n", + " 0.12679016, 0.14510445, 0.0553045 , 0. , 0.15353534,\n", + " 0.08673577, 0.01161619, 0.04595101, 0.13556801],\n", + " [0. , 0. , 0. , 0. , 0.16187135,\n", + " 0.06592614, 0. , 0. , 0. , 0. ,\n", + " 0.20400794, 0. , 0.06601392, 0. ],\n", + " [0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. ],\n", + " [0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. ],\n", + " [0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. ],\n", + " [0. , 0.11802777, 0. , 0.18748422, 0.10233414,\n", + " 0.26288403, 0.05838125, 0. , 0.10435198, 0.13137347,\n", + " 0.12470417, 0. , 0.30917694, 0.15357514],\n", + " [0. , 0.03935852, 0.03918719, 0.03351531, 0.02165916,\n", + " 0.05041099, 0.05919139, 0. , 0. , 0.02168938,\n", + " 0.02225037, 0. , 0.02888156, 0.04369827],\n", + " [0. , 0. , 0.06816806, 0. , 0. ,\n", + " 0. , 0.02742947, 0.05997232, 0. , 0.02085054,\n", + " 0. , 0.05193924, 0. , 0. ],\n", + " [0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. ]])" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.transpose(a)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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B.cellsMacrophages.M1Macrophages.M2MonocytesNeutrophilsNK.cellsT.cells.CD4T.cells.CD8TregsDendritic.cells
GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz0.9025700.0974300.0000000.00.00.00.0000000.0000000.0000000.0
GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz0.7136940.1289200.0000000.00.00.00.1180280.0393590.0000000.0
GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz0.7958950.0967500.0000000.00.00.00.0000000.0391870.0681680.0
GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz0.4697490.3092510.0000000.00.00.00.1874840.0335150.0000000.0
GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz0.6019330.1122020.1618710.00.00.00.1023340.0216590.0000000.0
GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz0.4939890.1267900.0659260.00.00.00.2628840.0504110.0000000.0
GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz0.7098930.1451040.0000000.00.00.00.0583810.0591910.0274290.0
GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz0.8847230.0553050.0000000.00.00.00.0000000.0000000.0599720.0
GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz0.8956480.0000000.0000000.00.00.00.1043520.0000000.0000000.0
GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz0.6725510.1535350.0000000.00.00.00.1313730.0216890.0208510.0
GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz0.5623020.0867360.2040080.00.00.00.1247040.0222500.0000000.0
GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz0.9364450.0116160.0000000.00.00.00.0000000.0000000.0519390.0
GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz0.5499770.0459510.0660140.00.00.00.3091770.0288820.0000000.0
GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz0.6671590.1355680.0000000.00.00.00.1535750.0436980.0000000.0
\n", + "
" + ], + "text/plain": [ + " B.cells \\\n", + "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.902570 \n", + "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.713694 \n", + "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.795895 \n", + "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.469749 \n", + "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.601933 \n", + "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.493989 \n", + "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.709893 \n", + "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.884723 \n", + "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.895648 \n", + "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.672551 \n", + "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.562302 \n", + "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.936445 \n", + "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.549977 \n", + "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.667159 \n", + "\n", + " Macrophages.M1 \\\n", + "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.097430 \n", + "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.128920 \n", + "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.096750 \n", + "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.309251 \n", + "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.112202 \n", + "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.126790 \n", + "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.145104 \n", + "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.055305 \n", + "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.000000 \n", + "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.153535 \n", + "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.086736 \n", + "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.011616 \n", + "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.045951 \n", + "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.135568 \n", + "\n", + " Macrophages.M2 \\\n", + "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.000000 \n", + "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.000000 \n", + "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.000000 \n", + "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.000000 \n", + "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.161871 \n", + "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.065926 \n", + "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.000000 \n", + "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.000000 \n", + "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.000000 \n", + "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.000000 \n", + "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.204008 \n", + "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.000000 \n", + "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.066014 \n", + "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.000000 \n", + "\n", + " Monocytes Neutrophils \\\n", + "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.0 0.0 \n", + "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.0 0.0 \n", + "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.0 0.0 \n", + "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.0 0.0 \n", + "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.0 0.0 \n", + "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.0 0.0 \n", + "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.0 0.0 \n", + "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.0 0.0 \n", + "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.0 0.0 \n", + "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.0 0.0 \n", + "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.0 0.0 \n", + "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.0 0.0 \n", + "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.0 0.0 \n", + "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.0 0.0 \n", + "\n", + " NK.cells T.cells.CD4 \\\n", + "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.0 0.000000 \n", + "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.0 0.118028 \n", + "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.0 0.000000 \n", + "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.0 0.187484 \n", + "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.0 0.102334 \n", + "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.0 0.262884 \n", + "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.0 0.058381 \n", + "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.0 0.000000 \n", + "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.0 0.104352 \n", + "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.0 0.131373 \n", + "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.0 0.124704 \n", + "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.0 0.000000 \n", + "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.0 0.309177 \n", + "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.0 0.153575 \n", + "\n", + " T.cells.CD8 Tregs \\\n", + "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.000000 0.000000 \n", + "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.039359 0.000000 \n", + "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.039187 0.068168 \n", + "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.033515 0.000000 \n", + "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.021659 0.000000 \n", + "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.050411 0.000000 \n", + "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.059191 0.027429 \n", + "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.000000 0.059972 \n", + "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.000000 0.000000 \n", + "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.021689 0.020851 \n", + "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.022250 0.000000 \n", + "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.000000 0.051939 \n", + "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.028882 0.000000 \n", + "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.043698 0.000000 \n", + "\n", + " Dendritic.cells \n", + "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.0 \n", + "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.0 \n", + "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.0 \n", + "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.0 \n", + "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.0 \n", + "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.0 \n", + "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.0 \n", + "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.0 \n", + "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.0 \n", + "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.0 \n", + "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.0 \n", + "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.0 \n", + "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.0 \n", + "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.0 " + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "result.Subjects[0].MIXprop[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'index': 'GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz',\n", + " 'RMSEa': 0.7356467701374008,\n", + " 'RMSEp': 1.3580584756979353,\n", + " 'Ra': 0.7659924064451571,\n", + " 'Rp': 0.7659924064451571,\n", + " 'BestParams': 0.25,\n", + " 'Iter': 4,\n", + " 'IscBySbj': 1.3614559595090132,\n", + " 'IscPob': 1.4338058519231907},\n", + " {'index': 'GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz',\n", + " 'RMSEa': 0.7505897249244129,\n", + " 'RMSEp': 1.090406026517986,\n", + " 'Ra': 0.7110050497112939,\n", + " 'Rp': 0.7110050497112943,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.4812507549846523,\n", + " 'IscPob': 1.7360281133525028},\n", + " {'index': 'GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz',\n", + " 'RMSEa': 0.732099068814191,\n", + " 'RMSEp': 1.2091834335647023,\n", + " 'Ra': 0.7288513928726023,\n", + " 'Rp': 0.7288513928726023,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.5709810234715755,\n", + " 'IscPob': 1.3941344285023054},\n", + " {'index': 'GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz',\n", + " 'RMSEa': 0.7275200560756733,\n", + " 'RMSEp': 0.7677020173040355,\n", + " 'Ra': 0.7341321745726567,\n", + " 'Rp': 0.7341321745726567,\n", + " 'BestParams': 0.5,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.6949098559698745,\n", + " 'IscPob': 1.6767992068424078},\n", + " {'index': 'GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz',\n", + " 'RMSEa': 0.7645339483233782,\n", + " 'RMSEp': 0.9480152081799849,\n", + " 'Ra': 0.7073580843178506,\n", + " 'Rp': 0.7073580843178509,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.4244382418785955,\n", + " 'IscPob': 1.4254052018177612},\n", + " {'index': 'GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz',\n", + " 'RMSEa': 0.8357526440717506,\n", + " 'RMSEp': 0.9220692012485019,\n", + " 'Ra': 0.603599701930536,\n", + " 'Rp': 0.6035997019305361,\n", + " 'BestParams': 0.5,\n", + " 'Iter': 4,\n", + " 'IscBySbj': 1.5198711858383502,\n", + " 'IscPob': 1.7544527697105345},\n", + " {'index': 'GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz',\n", + " 'RMSEa': 0.7890824338319162,\n", + " 'RMSEp': 1.1467157955213947,\n", + " 'Ra': 0.662757463529935,\n", + " 'Rp': 0.6627574635299351,\n", + " 'BestParams': 0.5,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.5299931536787006,\n", + " 'IscPob': 1.5963206231304197},\n", + " {'index': 'GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz',\n", + " 'RMSEa': 0.8181283890228448,\n", + " 'RMSEp': 1.5053263997506567,\n", + " 'Ra': 0.6158581588113806,\n", + " 'Rp': 0.6158581588113806,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.4666248239439506,\n", + " 'IscPob': 1.3107743675863595},\n", + " {'index': 'GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz',\n", + " 'RMSEa': 0.738484399659218,\n", + " 'RMSEp': 1.4016467133867787,\n", + " 'Ra': 0.717762987535987,\n", + " 'Rp': 0.7177629875359868,\n", + " 'BestParams': 0.5,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.3038483337900335,\n", + " 'IscPob': 1.1124117209595081},\n", + " {'index': 'GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz',\n", + " 'RMSEa': 0.8444033804632818,\n", + " 'RMSEp': 1.0593343920275025,\n", + " 'Ra': 0.6840760505412941,\n", + " 'Rp': 0.6840760505412938,\n", + " 'BestParams': 0.5,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.4653159078042208,\n", + " 'IscPob': 1.3889594811732004},\n", + " {'index': 'GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz',\n", + " 'RMSEa': 0.7574527293730309,\n", + " 'RMSEp': 0.9156376633520333,\n", + " 'Ra': 0.6965434899346512,\n", + " 'Rp': 0.6965434899346511,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.3842983256700507,\n", + " 'IscPob': 1.267873749017242},\n", + " {'index': 'GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz',\n", + " 'RMSEa': 0.7272371774257491,\n", + " 'RMSEp': 1.4552726472482724,\n", + " 'Ra': 0.7387176417109829,\n", + " 'Rp': 0.7387176417109832,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.6252912321302102,\n", + " 'IscPob': 1.6694893908251813},\n", + " {'index': 'GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz',\n", + " 'RMSEa': 0.7754653074972279,\n", + " 'RMSEp': 0.9107204618211545,\n", + " 'Ra': 0.665374889094444,\n", + " 'Rp': 0.665374889094444,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.6102328167574849,\n", + " 'IscPob': 1.514096545250108},\n", + " {'index': 'GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz',\n", + " 'RMSEa': 0.817035910688728,\n", + " 'RMSEp': 1.132628635352565,\n", + " 'Ra': 0.6139840261413105,\n", + " 'Rp': 0.6139840261413106,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.461235334393658,\n", + " 'IscPob': 1.5882348967389759}]" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "absolute = result.Subjects[0].MIXabs[0].reset_index().to_dict('records')\n", + "proportions = result.Subjects[0].MIXprop[0].reset_index().to_dict('records')\n", + "metrics = result.Subjects[0].ACCmetrix[0].reset_index().to_dict('records')\n", + "metrics.to_dict('records')" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.7015024184163652" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.mean(result.Subjects[0].ACCmetrix[0].IscBySbj.values)+2*np.std(result.Subjects[0].ACCmetrix[0].IscBySbj.values)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'subject' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# Getting Real Betas Matrix\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mvector\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0msubject\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0mcolumns\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'V'\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msubject\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mBetas\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumn_stack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvector\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'subject' is not defined" + ] + } + ], + "source": [ + "# Getting Real Betas Matrix\n", + "vector = [x[0] for x in subject]\n", + "columns = ['V' + str(x+1) for x in range(len(subject))]\n", + "Betas = pd.DataFrame(np.column_stack(vector), columns=columns)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def blandAltman (betas, result):\n", + " betahat = result.Subjects[0].MIXprop[0].T.to_numpy(copy=True)\n", + " betahat = betahat.flatten()\n", + " \n", + " betasim = betas.to_numpy(copy=True)\n", + " betasim = betasim.flatten()\n", + " \n", + " df = pd.DataFrame(np.transpose([betahat, betasim, (betahat - betasim)]), columns = ['betahat', 'betasim', 'difs'])\n", + " summary = pd.DataFrame([[np.mean(df.difs),np.std(df.difs),np.min(df.difs),np.max(df.difs)]], columns = ['mn', 'sd', 'mi', 'mx'])\n", + " return df, summary\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "ba, summary = blandAltman (Betas, result)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def blandAltamGraph(ba, summary):\n", + " fig, ax = plt.subplots(figsize=(16,8))\n", + " ax.plot(ba.betasim, ba.difs, 'k.')\n", + " plt.xlabel('Beta Sim')\n", + " plt.ylabel('Difs')\n", + " ax.axhline(summary.mn[0])\n", + " ax.axhline(summary.mn[0]+2*summary.sd[0])\n", + " ax.axhline(summary.mn[0]-2*summary.sd[0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "blandAltamGraph(ba, summary)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.0" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/app/assets/css/main.css b/app/assets/css/main.css index ab0db9e..f72bc2b 100644 --- a/app/assets/css/main.css +++ b/app/assets/css/main.css @@ -487,4 +487,24 @@ nav ul { top: 0px; left: 3px; color:#ffffff; +} + +#drop_graph1 input[type="radio"]:active, #drop_graph1 input[type="radio"]:checked:active { + box-shadow: 0 1px 2px rgba(0,0,0,0.05), inset 0px 1px 3px rgba(0,0,0,0.1); +} + +#drop_graph1 input[type="radio"]:checked { + background-color: 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b/app/pages/validate.py @@ -38,6 +38,7 @@ lines = None estimate_lines = None ids = None +result3 = None seed(123) @@ -220,10 +221,11 @@ def update_lines(lines_slider): Output("loading-output-result", "children"), [dash.dependencies.Input('button_validate', 'n_clicks')], [dash.dependencies.State('lines_slider', 'value'), - dash.dependencies.State('cpu-slider', 'value')]) -def update_output(n_clicks, lines_slider, cpu): + dash.dependencies.State('cpu-slider', 'value'), + dash.dependencies.State('check_celllines', 'value')]) +def update_output(n_clicks, lines_slider, cpu, celllines): - global signature, dataFrameSignature, result1, pValues1, tableMetrics1, result2, pValues2, tableMetrics2, subjects, betas, lines, estimate_lines, ids + global signature, dataFrameSignature, result1, pValues1, tableMetrics1, result2, pValues2, tableMetrics2, subjects, betas, lines, estimate_lines, ids, result3 if n_clicks is not None: @@ -268,12 +270,32 @@ def update_output(n_clicks, lines_slider, cpu): metrics2 = result2.Subjects[0].ACCmetrix[0].reset_index() vector = [len(x[1]) for x in subjects] - ids = pd.DataFrame(np.column_stack(vector)) + ids = pd.DataFrame(np.column_stack(vector)) + + #Celllines analysis + if celllines[0] == 'cellines': + #Y3 = pd.read_excel(dataCelllines, sheet_name = 0) + #result3, pValues3 = Mixture.Mixture(X, Y3 , cpu, 1, '') + cc = pd.read_excel('../data/outputCellines.xlsx', sheet_name = 0) + cc.index = cc.iloc[:,0].astype(int) + cc.index.name = 'Subjects' + result3 = cc.iloc[:, 1:] + children_tabs = [ + dcc.Tab(label='Similation Test', value='tab4-1', style={'padding': '0px'}, selected_style={'padding': '0px'}), + dcc.Tab(label='False Discovery Test', value='tab4-2', style={'padding': '0px'}, selected_style={'padding': '0px'}) + ] + else: + children_tabs = [ + dcc.Tab(label='Similation Test', value='tab4-1', style={'padding': '0px'}, selected_style={'padding': '0px'}) + ] children = [ dcc.Tabs(id='tabs4', value='tab4-1', children=[ - dcc.Tab(label='Similation Test', value='tab4-1'), - ]), + dcc.Tab(label='Similation Test', value='tab4-1', style={'padding': '0px'}, selected_style={'padding': '0px'}), + dcc.Tab(label='False Discovery Test', value='tab4-2', style={'padding': '0px'}, selected_style={'padding': '0px'}) + ], style={ + 'height': '35px' + }), html.Div(id='tabs4-content') ] @@ -284,14 +306,26 @@ def update_output(n_clicks, lines_slider, cpu): def render_content2(tab): if tab == 'tab4-1': return html.Div([ - dcc.Tabs(id='tabs5', value='tab5-3', children=[ - dcc.Tab(label='Bland-Altman analysis', value='tab5-1'), - dcc.Tab(label='Correlation analysis', value='tab5-2'), - dcc.Tab(label='Self test', value='tab5-3'), - dcc.Tab(label='Number of Cell types', value='tab5-4'), - ]), + dcc.Tabs(id='tabs5', value='tab5-1', children=[ + dcc.Tab(label='Bland-Altman analysis', value='tab5-1', style={'padding': '0px'}, selected_style={'padding': '0px'}), + dcc.Tab(label='Correlation analysis', value='tab5-2', style={'padding': '0px'}, selected_style={'padding': '0px'}), + dcc.Tab(label='Self test', value='tab5-3', style={'padding': '0px'}, selected_style={'padding': '0px'}), + dcc.Tab(label='Number of Cell types', value='tab5-4', style={'padding': '0px'}, selected_style={'padding': '0px'}), + ], style={ + 'height': '35px' + }), html.Div(id='tabs5-content') ]) + elif tab == 'tab4-2': + return html.Div([ + dcc.Tabs(id='tabs6', value='tab6-2', children=[ + dcc.Tab(label='Number of Cell types', value='tab6-1', style={'padding': '0px'}, selected_style={'padding': '0px'}), + dcc.Tab(label='Absolute Beta Estimation', value='tab6-2', style={'padding': '0px'}, selected_style={'padding': '0px'}), + ], style={ + 'height': '35px' + }), + html.Div(id='tabs6-content') + ]) @app.callback(Output('graph1-div', 'children'), [Input('drop_graph1', 'value')]) @@ -397,7 +431,7 @@ def render_content1(tab): return html.Div( children = [ - dcc.Dropdown( + dcc.RadioItems( id='drop_graph1', options=[ {'label': 'Proportions', 'value': 'pro'}, @@ -479,4 +513,26 @@ def render_content1(tab): ) ) ) + ]) + +@app.callback(Output('tabs6-content', 'children'), + [Input('tabs6', 'value')]) +def render_content1(tab): + global result3 + estimate_lines = pd.DataFrame([(betasSim[i] > 0).sum() for i in range(rango)]) + if tab == 'tab6-2': + items = [go.Box(y=result3.iloc[:, j], name = result3.iloc[:, j].name) for j in range(len(result3.columns))] + #items = [go.Violin(y=yy, box_visible=True, line_color='black', + # meanline_visible=True, fillcolor='blue', opacity=0.8, + # x0='Violin')] + return html.Div([ + dcc.Graph( + id='graph-abe', + figure=go.Figure(data=items, + layout=go.Layout( + height=700, + xaxis=dict(tickangle=-90, automargin= True) + ) + ) + ) ]) \ No newline at end of file diff --git a/app/setup.py b/app/setup.py index e574e55..9ee4163 100644 --- a/app/setup.py +++ b/app/setup.py @@ -9,7 +9,7 @@ 'cx_Logging', 'idna', ], 'packages': [ - 'asyncio', 'flask', 'jinja2', 'dash', 'plotly', 'waitress', 'scipy.signal', 'scipy.sparse', 'scipy.integrate', 'xlsxwriter' + 'asyncio', 'flask', 'jinja2', 'dash', 'plotly', 'waitress', 'scipy.signal', 'scipy.sparse', 'scipy.integrate', 'xlsxwriter', 'numpy' ], 'excludes': [ 'tkinter', 'scipy.spatial.cKDTree' diff --git a/cellines.ipynb b/cellines.ipynb index a3af40f..4a42fce 100644 --- a/cellines.ipynb +++ b/cellines.ipynb @@ -14130,13 +14130,7 @@ "--------------------------------------------------\n", "Iter: 1 Subject: 747\n", "Iter: 1 Subject: 748\n", - "Iter: 3 Subject: 746\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Iter: 3 Subject: 746\n", "Iter: 1 Subject: 749\n", "Iter: 2 Subject: 747\n", "--------------------------------------------------\n", diff --git a/celllines xlsx.ipynb b/celllines xlsx.ipynb new file mode 100644 index 0000000..22f71a1 --- /dev/null +++ b/celllines xlsx.ipynb @@ -0,0 +1,4469 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import os\n", + "import sys\n", + "import Mixture\n", + "import multiprocessing\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Num cores: 4\n" + ] + } + ], + "source": [ + "print('Num cores: ' + str(multiprocessing.cpu_count()))\n", + "\n", + "cores = 4\n", + "iters = 1\n", + "output = 'cellinesout'\n", + "\n", + "if cores > multiprocessing.cpu_count():\n", + " cores = multiprocessing.cpu_count()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Read xlsx files\n", + "X = pd.read_excel('app/data/TIL10_signature.xlsx', sheet_name = 0) " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# Read xlsx files\n", + "Y = pd.read_excel('data/Celllines.xlsx', sheet_name = 0) " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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2323WNT1613.3709656.6320416.4942456.6446367.1698806.7984987.0784797.306324...6.8094477.6052707.2553857.6518487.1641297.4126946.7951497.0294836.4687817.053665
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16532 rows Ă— 1020 columns

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2DPM11332.1609073583.966033942.750905944.5417551368.936470875.5141991229.9509671181.1130021260.479567...1434.6524401392.0076831271.1882001403.5160911368.5906762824.4255901507.3277541773.950376938.2977201768.387206
3SCYL312.25071516.75926215.52186416.72230020.27317619.30500162.60333313.13216514.401152...12.96755524.65849420.37211214.50141115.42887021.49381211.71584921.75592919.25054817.154241
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6CFH11.846182227.0982037.626566148.23132110.37775320.2004999.24988555.4372519.492174...10.8581099.99815310.642322178.9235879.93778711.8861009.99918837.00049010.6084978.358730
7FUCA2294.99167598.153787292.287878396.353350314.507318457.830962116.115280389.926582313.178922...495.85224356.46412010.762820568.092411679.368481292.643454478.278023269.35939154.214615292.332128
8GCLC37.66408456.07414143.01717749.10214050.89379150.45718849.28235132.94722754.835142...39.223326107.387385102.81503566.48735154.20431650.97084825.72057849.99844957.05399640.219805
9NFYA41.327754148.02050134.79352331.92100818.12872144.62455934.60852123.22427742.125931...44.37337943.85489492.00966737.10910223.12349730.78158318.58295132.92135546.87420558.789515
10STPG112.10048313.48747515.41287610.4016169.21253013.5115529.45013612.98271810.112624...10.7699538.5332007.7534059.19336812.72916813.64601610.79429310.1610619.66650418.576844
11NIPAL3199.70910552.54216948.544462107.84315472.940830161.16277641.623287208.435220119.088955...62.87144530.530473180.607055161.02513720.379934164.30559723.525004101.762605129.152896289.966964
12LAS1L23.41019919.78900014.24309211.41253419.34448414.13348413.26431013.34127915.392954...19.74811819.45094215.25823814.96280517.78283620.51106620.55385512.10361512.38034812.485844
13ENPP422.44404865.37034123.40207139.66779449.3595499.30553550.87144146.11275010.977467...49.38052310.15773857.17316910.62227619.50634013.24037528.12625458.06111479.95323613.664758
14SEMA3F17.36738515.47082721.70693418.51050312.33956314.86411211.82887024.18480018.134495...14.86590614.18635715.19036413.95893316.46449628.68622727.69010819.51106153.98851714.211730
15CFTR8.1396668.7176727.4473807.7279898.7052207.7604267.7419327.9054168.527271...8.0160937.9053988.6314197.4272298.4381938.7309488.53881410.3582948.2603127.860545
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17KRIT112.52392414.50869714.04139613.67009613.25057513.70915016.62582719.67484515.144985...15.12667514.85798813.47735713.8071258.55129310.05249616.5172039.55686415.30079619.860686
18RAD5213.74149015.15559312.1077949.31892615.71516310.93335011.11727110.61696919.236123...9.64406411.74431012.74619410.36309311.32556116.23323412.16829423.26973710.0396749.726711
19BAD175.875331178.443892171.215802212.473257127.90963593.71510381.801911245.714367179.605805...141.82439789.166267121.056505111.515122142.332582150.588094184.21627167.012394291.22048431.282159
20LAP387.664826107.10084950.41183838.30250524.443765122.003387377.597853225.33307527.192571...41.753055385.65425173.928492105.06441692.46310854.189180224.430733145.21809550.68998993.018835
21CD99704.510655711.4439151032.072449288.643892575.662078766.350616311.620011445.529834426.902954...546.845243672.644651578.213557772.263875764.018034258.159242277.011261123.520012329.189808782.075373
22HS3ST111.4513468.24944315.1830957.76553316.34808313.2988907.2284909.2729678.026898...8.2154987.7354527.9694498.8363508.4985999.27008214.850851134.68420233.43408610.056280
23WNT1613.3709656.6320416.4942456.6446367.1698806.7984987.0784797.3063246.687845...6.8094477.6052707.2553857.6518487.1641297.4126946.7951497.0294836.4687817.053665
24HECW16.3264356.9079707.4789248.0049876.9826886.6539286.6118278.0946666.058350...7.4884827.2473518.3409868.9608277.5043067.6723146.8969987.51663512.3144636.596377
25MAD1L136.76934270.51410642.04523343.62773641.739723478.017475600.80864545.022243126.333590...30.10227939.424993103.855878249.972604445.31585025.53597620.228811102.78871755.510534998.934433
26LASP130.51996623.03325817.69757631.37919142.31073016.87970818.33102831.17809026.908099...33.35324119.15771222.61755724.40441739.38645227.99923726.70757729.21706817.03787115.625781
27SNX1127.23626237.95717325.03369823.56928743.91652734.285869190.59256129.44160828.699737...27.003669108.51861732.76751931.09484124.74504831.60766132.83719324.45357027.86310631.280838
28TMEM176A7.8670428.1965917.1913367.8104097.8058716.8970729.41643010.6323778.803450...9.46103110.3015908.3623967.2024529.9972477.9948227.5753256.773557228.1708109.622860
29M6PR886.523130460.014870467.439551503.1097321448.6105161026.4595671088.081128671.818194698.178791...606.456572804.614825656.487439741.845063852.508968820.472343921.7655911308.797270458.093717532.892307
..................................................................
16502LSM14A498.676746625.245234619.276429484.026466413.684892282.427285463.140035450.007894547.256159...347.100844548.074139408.898090250.777086351.739082597.111729509.503080458.319152456.391073421.924586
16503TAS2R387.7747756.6313537.5667727.4031478.5072217.6720338.8166286.8352376.688633...7.8308268.6674097.4389078.3384127.1718728.1162056.8763678.9974416.5280396.473989
16504MGAM176.0763837.9251646.9156347.5487017.2208396.6726806.5050257.5406997.850370...19.2370407.9440036.9239206.4492376.819381390.9333607.8015517.8533256.93724223.432551
16505CUX122.30115519.19116917.93282636.80871015.23650615.78382715.1346048.72085025.794574...17.30701213.96295016.52654116.11626912.09095216.68479915.89483514.77447313.61869018.040721
16506PRSS588.2477036.5470287.2168377.1155357.1859447.7177517.5925678.2233087.478139...7.7177856.9129486.8226207.0902477.1224248.1469047.3483187.5043027.9258317.324237
16507CLEC5A6.7984976.9512647.3525166.7303696.7326177.5514586.5939307.2102817.292706...7.7751677.9614927.1905367.7128927.9937288.4805477.2533468.3966007.5383557.179515
16508ZNF5787.2132496.2286946.0995786.3604606.5467195.9565467.5303776.6774546.702657...7.3068717.3029467.1275757.1818117.1020997.1532576.5458436.4804426.5259127.113788
16509DIO3OS9.9196929.8784009.92770610.7211299.2122269.94509210.69914910.5477639.358524...12.55823813.07827711.3081209.74588711.4900908.77913513.11572112.87454411.77810411.930972
16510UBE2CP11966.189933574.287016828.557486872.4264711506.8125911003.58744876.4675731031.7077881079.713130...3035.2835971653.4242731437.430260410.9464602235.9295893242.8508072586.8156401606.4092971406.446239468.894261
16511LINC006389.28315110.1449749.93763510.0492779.2681799.67835411.16400410.70647410.051788...9.59974312.6579549.8160479.4278688.88058810.1182089.62307010.8118129.70632510.617207
16512OR4C136.2950187.1726236.9982966.4959607.2579487.2943988.7070177.2699667.653768...9.8099227.7978627.2787478.7526968.4105997.5851336.6197758.6196177.61656710.139662
16513CEP9565.19289386.812459115.49024799.610882113.296828100.49648581.22192868.847414129.732920...72.769669105.077820164.41373299.67310580.247594117.559753117.535312164.39698391.14119969.678013
16514SMIM611.31863710.61056536.349867101.04841510.6390929.06859812.93476949.64740710.946052...11.97395114.72155810.6842839.75634711.84781313.67566513.22420514.79824910.66695210.977788
16515SLC35G67.7268568.4485388.8872409.3490149.4904457.99782410.9623628.1824427.763079...10.0913768.45768310.50512310.1192398.41080911.1657429.9814678.5128449.33379210.587617
16516LINC005967.8095058.6307586.8010668.0109067.7773917.8791799.7978777.0742786.978711...8.5738478.3960917.4535786.5374488.1970669.4141297.6217037.6651599.2702368.766267
16517OR4N3P8.39834110.2125157.6514997.8672308.2900377.9074308.8771898.8898469.323920...10.5766117.24553811.6337498.71516310.56945110.83977510.36943510.10188110.50316610.237380
16518MRPL46215.887056561.471251299.088807398.510823360.056730324.682134408.415296266.833617242.615201...213.466159454.669966443.950119227.761727250.507507192.893148445.272747356.358731420.008697581.834281
16519SH3RF3-AS110.8567439.7279088.81267410.80260610.19268412.51332412.1481528.97227712.835839...9.9719259.3947709.8735019.26572912.63651210.0873349.68471213.0304739.4392319.665671
16520MOCS1P19.08262920.3004808.9440538.45419115.4595558.81723115.8870819.0924118.276626...12.73268216.38063116.5974758.9508849.33828811.51486011.39115610.2501629.4723039.672026
16521HPR6.9185076.8592906.3284326.4557676.3159936.9297156.4104617.5427646.288020...6.9659336.5574876.3435577.7569437.4671927.8229197.4508056.3238845.5442077.083521
16522MIA12.03270710.70153910.92186210.19382812.463192272.01551043.15451011.23880511.384224...12.15227417.26310114.02299117.13952927.44620112.62254413.13461219.40784414.4590441797.128295
16523LINC0051412.6914728.3003619.3619428.6386239.7497969.4183888.5990989.3708829.875865...9.8889518.7644349.60271510.64228210.34643910.4848288.09027017.5456517.52127110.608866
16524OR1D58.77985610.03889010.0304147.57844911.11230511.39897511.64273010.6103199.409991...8.01369113.97409117.7892047.61132217.95358110.57226114.3312769.3306268.6698469.255369
16525ZNF23428.66400923.76020918.56777516.68824929.22637920.50320624.85999618.33237526.873040...18.51329218.96143211.69875019.37649718.35428823.27234316.70769725.74767417.14298617.100517
16526MYH46.1856796.8849266.0780306.1455405.4655837.1324796.0448966.4754256.233435...6.2518477.3523285.9511205.8707066.2860816.0421665.4405136.0790335.7808426.655071
16527LINC00526110.42514539.8887768.8336268.90055712.57651147.64733637.08550218.27158817.313812...19.99887634.11457011.42672435.36113424.33169534.24644718.94109733.93833831.69368920.565258
16528KRT18P5510.0640167.9591337.39512114.04630910.6485597.9980027.42179610.9826437.812968...9.56273110.0104329.5243588.2318819.02621910.15222010.64835312.4700038.8313917.608029
16529POLRMTP18.7585759.5863559.0394748.4235719.27627410.4259899.1902637.1060778.930525...6.8387287.93511011.4266989.5420988.8104048.0417098.5081247.1975477.1247557.047236
16530UBL5P21014.544078512.999579553.808337994.814559981.590689420.167311673.943381879.015640712.913048...772.704052727.126167986.195846948.9865811037.551842644.5698771713.405686373.430458955.789824538.179233
16531TBC1D3P58.4194368.0010097.5489429.55661410.52775411.2936409.1483079.5436338.833999...10.6093169.5592659.1259358.91097810.25076810.8183689.9724269.0286779.47130210.017959
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16532 rows Ă— 1019 columns

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" + ], + "text/plain": [ + " Gene symbol 906826 687983 910927 1240138 \\\n", + "0 TSPAN6 198.366304 187.230436 419.444908 222.419924 \n", + "1 TNMD 7.806009 6.857659 6.248491 7.051465 \n", + "2 DPM1 1332.160907 3583.966033 942.750905 944.541755 \n", + "3 SCYL3 12.250715 16.759262 15.521864 16.722300 \n", + "4 C1orf112 10.415653 13.291985 9.425833 11.781195 \n", + "... ... ... ... ... ... \n", + "16527 LINC00526 110.425145 39.888776 8.833626 8.900557 \n", + "16528 KRT18P55 10.064016 7.959133 7.395121 14.046309 \n", + "16529 POLRMTP1 8.758575 9.586355 9.039474 8.423571 \n", + "16530 UBL5P2 1014.544078 512.999579 553.808337 994.814559 \n", + "16531 TBC1D3P5 8.419436 8.001009 7.548942 9.556614 \n", + "\n", + " 1240139 906792 910688 1240135 1290812 ... \\\n", + "0 212.198047 134.786621 9.748621 124.638529 61.522661 ... \n", + "1 7.769056 7.411045 7.101891 7.334766 6.439167 ... \n", + "2 1368.936470 875.514199 1229.950967 1181.113002 1260.479567 ... \n", + "3 20.273176 19.305001 62.603333 13.132165 14.401152 ... \n", + "4 14.324103 14.074927 8.066077 9.636096 10.216540 ... \n", + "... ... ... ... ... ... ... \n", + "16527 12.576511 47.647336 37.085502 18.271588 17.313812 ... \n", + "16528 10.648559 7.998002 7.421796 10.982643 7.812968 ... \n", + "16529 9.276274 10.425989 9.190263 7.106077 8.930525 ... \n", + "16530 981.590689 420.167311 673.943381 879.015640 712.913048 ... \n", + "16531 10.527754 11.293640 9.148307 9.543633 8.833999 ... \n", + "\n", + " 753584 907044 998184 908145 1659787 \\\n", + "0 137.724074 9.425070 8.218597 331.582284 122.121882 \n", + "1 6.958841 6.704533 7.870230 7.222767 6.158717 \n", + "2 1434.652440 1392.007683 1271.188200 1403.516091 1368.590676 \n", + "3 12.967555 24.658494 20.372112 14.501411 15.428870 \n", + "4 13.240021 15.430837 13.992517 9.170420 14.072733 \n", + "... ... ... ... ... ... \n", + "16527 19.998876 34.114570 11.426724 35.361134 24.331695 \n", + "16528 9.562731 10.010432 9.524358 8.231881 9.026219 \n", + "16529 6.838728 7.935110 11.426698 9.542098 8.810404 \n", + "16530 772.704052 727.126167 986.195846 948.986581 1037.551842 \n", + "16531 10.609316 9.559265 9.125935 8.910978 10.250768 \n", + "\n", + " 1298157 1480372 1298533 930299 905954.1 \n", + "0 347.682936 343.203766 272.338050 8.647798 142.333051 \n", + "1 6.230190 7.360939 5.740469 7.313022 7.131893 \n", + "2 2824.425590 1507.327754 1773.950376 938.297720 1768.387206 \n", + "3 21.493812 11.715849 21.755929 19.250548 17.154241 \n", + "4 20.889876 18.990272 8.405648 9.383959 10.821246 \n", + "... ... ... ... ... ... \n", + "16527 34.246447 18.941097 33.938338 31.693689 20.565258 \n", + "16528 10.152220 10.648353 12.470003 8.831391 7.608029 \n", + "16529 8.041709 8.508124 7.197547 7.124755 7.047236 \n", + "16530 644.569877 1713.405686 373.430458 955.789824 538.179233 \n", + "16531 10.818368 9.972426 9.028677 9.471302 10.017959 \n", + "\n", + "[16532 rows x 1019 columns]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "YY" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running mixer with subjects (Count: 1019)...\n", + "Normalizing data\n", + "Processing...\n", + "------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\n", + "Subject: 910927 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Subject: 906826 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "\n", + "Subject: 1240138 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Subject: 687983 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1240138\n", + "Iter: 1 Subject: 906826Iter: 1 Subject: 687983\n", + "\n", + "Iter: 1 Subject: 910927\n", + "Iter: 2 Subject: 906826\n", + "Iter: 2 Subject: 1240138\n", + "Iter: 2 Subject: 910927\n", + "Iter: 2 Subject: 687983\n", + "--------------------------------------------------\n", + "Subject: 1240139 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 910927\n", + "Iter: 3 Subject: 1240138\n", + "Iter: 3 Subject: 687983\n", + "Iter: 1 Subject: 1240139\n", + "--------------------------------------------------\n", + "Subject: 906792 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 687983\n", + "Subject: 910688 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1240139\n", + "Subject: 1240135 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 906792\n", + "Iter: 1 Subject: 910688\n", + "Iter: 3 Subject: 1240139\n", + "Iter: 2 Subject: 906792\n", + "Iter: 1 Subject: 1240135\n", + "--------------------------------------------------Iter: 2 Subject: 910688\n", + "\n", + "Subject: 1290812 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 906792\n", + "Iter: 2 Subject: 1240135\n", + "--------------------------------------------------\n", + "Subject: 907045 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------Iter: 3 Subject: 910688\n", + "\n", + "Iter: 1 Subject: 1290812Subject: 906861 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 907045\n", + "Iter: 2 Subject: 1290812\n", + "Iter: 1 Subject: 906861\n", + "Iter: 4 Subject: 910688\n", + "--------------------------------------------------\n", + "Subject: 906830 Nro. Processor: <_MainProcess(MainProcess, started)>Iter: 2 Subject: 907045\n", + "\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 909750 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 906861\n", + "--------------------------------------------------\n", + "Subject: 1240137 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 906830--------------------------------------------------\n", + "\n", + "Subject: 753552 Nro. 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B.cellsMacrophages.M1Macrophages.M2MonocytesNeutrophilsNK.cellsT.cells.CD4T.cells.CD8TregsDendritic.cells
GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz0.9025700.0974300.0000000.00.00.00.0000000.0000000.0000000.0
GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz0.7136940.1289200.0000000.00.00.00.1180280.0393590.0000000.0
GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz0.7958950.0967500.0000000.00.00.00.0000000.0391870.0681680.0
GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz0.4697490.3092510.0000000.00.00.00.1874840.0335150.0000000.0
GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz0.6019330.1122020.1618710.00.00.00.1023340.0216590.0000000.0
GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz0.4939890.1267900.0659260.00.00.00.2628840.0504110.0000000.0
GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz0.7098930.1451040.0000000.00.00.00.0583810.0591910.0274290.0
GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz0.8847230.0553050.0000000.00.00.00.0000000.0000000.0599720.0
GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz0.8956480.0000000.0000000.00.00.00.1043520.0000000.0000000.0
GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz0.6725510.1535350.0000000.00.00.00.1313730.0216890.0208510.0
GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz0.5623020.0867360.2040080.00.00.00.1247040.0222500.0000000.0
GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz0.9364450.0116160.0000000.00.00.00.0000000.0000000.0519390.0
GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz0.5499770.0459510.0660140.00.00.00.3091770.0288820.0000000.0
GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz0.6671590.1355680.0000000.00.00.00.1535750.0436980.0000000.0
\n", + "
" + ], + "text/plain": [ + " B.cells \\\n", + "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.902570 \n", + "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.713694 \n", + "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.795895 \n", + "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.469749 \n", + "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.601933 \n", + "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.493989 \n", + "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.709893 \n", + "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.884723 \n", + "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.895648 \n", + "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.672551 \n", + "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.562302 \n", + "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.936445 \n", + "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.549977 \n", + "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.667159 \n", + "\n", + " Macrophages.M1 \\\n", + "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.097430 \n", + "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.128920 \n", + "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.096750 \n", + "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.309251 \n", + "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.112202 \n", + "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.126790 \n", + "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.145104 \n", + "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.055305 \n", + "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.000000 \n", + "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.153535 \n", + "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.086736 \n", + "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.011616 \n", + "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.045951 \n", + "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.135568 \n", + "\n", + " Macrophages.M2 \\\n", + "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.000000 \n", + "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.000000 \n", + "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.000000 \n", + "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.000000 \n", + "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.161871 \n", + "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.065926 \n", + "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.000000 \n", + "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.000000 \n", + "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.000000 \n", + "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.000000 \n", + "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.204008 \n", + "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.000000 \n", + "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.066014 \n", + "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.000000 \n", + "\n", + " Monocytes Neutrophils \\\n", + "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.0 0.0 \n", + "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.0 0.0 \n", + "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.0 0.0 \n", + "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.0 0.0 \n", + "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.0 0.0 \n", + "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.0 0.0 \n", + "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.0 0.0 \n", + "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.0 0.0 \n", + "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.0 0.0 \n", + "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.0 0.0 \n", + "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.0 0.0 \n", + "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.0 0.0 \n", + "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.0 0.0 \n", + "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.0 0.0 \n", + "\n", + " NK.cells T.cells.CD4 \\\n", + "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.0 0.000000 \n", + "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.0 0.118028 \n", + "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.0 0.000000 \n", + "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.0 0.187484 \n", + "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.0 0.102334 \n", + "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.0 0.262884 \n", + "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.0 0.058381 \n", + "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.0 0.000000 \n", + "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.0 0.104352 \n", + "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.0 0.131373 \n", + "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.0 0.124704 \n", + "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.0 0.000000 \n", + "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.0 0.309177 \n", + "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.0 0.153575 \n", + "\n", + " T.cells.CD8 Tregs \\\n", + "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.000000 0.000000 \n", + "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.039359 0.000000 \n", + "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.039187 0.068168 \n", + "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.033515 0.000000 \n", + "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.021659 0.000000 \n", + "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.050411 0.000000 \n", + "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.059191 0.027429 \n", + "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.000000 0.059972 \n", + "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.000000 0.000000 \n", + "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.021689 0.020851 \n", + "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.022250 0.000000 \n", + "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.000000 0.051939 \n", + "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.028882 0.000000 \n", + "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.043698 0.000000 \n", + "\n", + " Dendritic.cells \n", + "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.0 \n", + "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.0 \n", + "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.0 \n", + "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.0 \n", + "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.0 \n", + "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.0 \n", + "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.0 \n", + "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.0 \n", + "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.0 \n", + "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.0 \n", + "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.0 \n", + "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.0 \n", + "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.0 \n", + "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.0 " + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "result.Subjects[0].MIXprop[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'index': 'GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz',\n", + " 'RMSEa': 0.7356467701374008,\n", + " 'RMSEp': 1.3580584756979353,\n", + " 'Ra': 0.7659924064451571,\n", + " 'Rp': 0.7659924064451571,\n", + " 'BestParams': 0.25,\n", + " 'Iter': 4,\n", + " 'IscBySbj': 1.3614559595090132,\n", + " 'IscPob': 1.4338058519231907},\n", + " {'index': 'GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz',\n", + " 'RMSEa': 0.7505897249244129,\n", + " 'RMSEp': 1.090406026517986,\n", + " 'Ra': 0.7110050497112939,\n", + " 'Rp': 0.7110050497112943,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.4812507549846523,\n", + " 'IscPob': 1.7360281133525028},\n", + " {'index': 'GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz',\n", + " 'RMSEa': 0.732099068814191,\n", + " 'RMSEp': 1.2091834335647023,\n", + " 'Ra': 0.7288513928726023,\n", + " 'Rp': 0.7288513928726023,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.5709810234715755,\n", + " 'IscPob': 1.3941344285023054},\n", + " {'index': 'GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz',\n", + " 'RMSEa': 0.7275200560756733,\n", + " 'RMSEp': 0.7677020173040355,\n", + " 'Ra': 0.7341321745726567,\n", + " 'Rp': 0.7341321745726567,\n", + " 'BestParams': 0.5,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.6949098559698745,\n", + " 'IscPob': 1.6767992068424078},\n", + " {'index': 'GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz',\n", + " 'RMSEa': 0.7645339483233782,\n", + " 'RMSEp': 0.9480152081799849,\n", + " 'Ra': 0.7073580843178506,\n", + " 'Rp': 0.7073580843178509,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.4244382418785955,\n", + " 'IscPob': 1.4254052018177612},\n", + " {'index': 'GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz',\n", + " 'RMSEa': 0.8357526440717506,\n", + " 'RMSEp': 0.9220692012485019,\n", + " 'Ra': 0.603599701930536,\n", + " 'Rp': 0.6035997019305361,\n", + " 'BestParams': 0.5,\n", + " 'Iter': 4,\n", + " 'IscBySbj': 1.5198711858383502,\n", + " 'IscPob': 1.7544527697105345},\n", + " {'index': 'GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz',\n", + " 'RMSEa': 0.7890824338319162,\n", + " 'RMSEp': 1.1467157955213947,\n", + " 'Ra': 0.662757463529935,\n", + " 'Rp': 0.6627574635299351,\n", + " 'BestParams': 0.5,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.5299931536787006,\n", + " 'IscPob': 1.5963206231304197},\n", + " {'index': 'GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz',\n", + " 'RMSEa': 0.8181283890228448,\n", + " 'RMSEp': 1.5053263997506567,\n", + " 'Ra': 0.6158581588113806,\n", + " 'Rp': 0.6158581588113806,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.4666248239439506,\n", + " 'IscPob': 1.3107743675863595},\n", + " {'index': 'GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz',\n", + " 'RMSEa': 0.738484399659218,\n", + " 'RMSEp': 1.4016467133867787,\n", + " 'Ra': 0.717762987535987,\n", + " 'Rp': 0.7177629875359868,\n", + " 'BestParams': 0.5,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.3038483337900335,\n", + " 'IscPob': 1.1124117209595081},\n", + " {'index': 'GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz',\n", + " 'RMSEa': 0.8444033804632818,\n", + " 'RMSEp': 1.0593343920275025,\n", + " 'Ra': 0.6840760505412941,\n", + " 'Rp': 0.6840760505412938,\n", + " 'BestParams': 0.5,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.4653159078042208,\n", + " 'IscPob': 1.3889594811732004},\n", + " {'index': 'GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz',\n", + " 'RMSEa': 0.7574527293730309,\n", + " 'RMSEp': 0.9156376633520333,\n", + " 'Ra': 0.6965434899346512,\n", + " 'Rp': 0.6965434899346511,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.3842983256700507,\n", + " 'IscPob': 1.267873749017242},\n", + " {'index': 'GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz',\n", + " 'RMSEa': 0.7272371774257491,\n", + " 'RMSEp': 1.4552726472482724,\n", + " 'Ra': 0.7387176417109829,\n", + " 'Rp': 0.7387176417109832,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.6252912321302102,\n", + " 'IscPob': 1.6694893908251813},\n", + " {'index': 'GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz',\n", + " 'RMSEa': 0.7754653074972279,\n", + " 'RMSEp': 0.9107204618211545,\n", + " 'Ra': 0.665374889094444,\n", + " 'Rp': 0.665374889094444,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.6102328167574849,\n", + " 'IscPob': 1.514096545250108},\n", + " {'index': 'GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz',\n", + " 'RMSEa': 0.817035910688728,\n", + " 'RMSEp': 1.132628635352565,\n", + " 'Ra': 0.6139840261413105,\n", + " 'Rp': 0.6139840261413106,\n", + " 'BestParams': 0.75,\n", + " 'Iter': 3,\n", + " 'IscBySbj': 1.461235334393658,\n", + " 'IscPob': 1.5882348967389759}]" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "absolute = result.Subjects[0].MIXabs[0].reset_index().to_dict('records')\n", + "proportions = result.Subjects[0].MIXprop[0].reset_index().to_dict('records')\n", + "metrics = result.Subjects[0].ACCmetrix[0].reset_index().to_dict('records')\n", + "metrics.to_dict('records')" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.7015024184163652" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.mean(result.Subjects[0].ACCmetrix[0].IscBySbj.values)+2*np.std(result.Subjects[0].ACCmetrix[0].IscBySbj.values)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'subject' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# Getting Real Betas Matrix\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mvector\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0msubject\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0mcolumns\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'V'\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msubject\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mBetas\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumn_stack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvector\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'subject' is not defined" + ] + } + ], + "source": [ + "# Getting Real Betas Matrix\n", + "vector = [x[0] for x in subject]\n", + "columns = ['V' + str(x+1) for x in range(len(subject))]\n", + "Betas = pd.DataFrame(np.column_stack(vector), columns=columns)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def blandAltman (betas, result):\n", + " betahat = result.Subjects[0].MIXprop[0].T.to_numpy(copy=True)\n", + " betahat = betahat.flatten()\n", + " \n", + " betasim = betas.to_numpy(copy=True)\n", + " betasim = betasim.flatten()\n", + " \n", + " df = pd.DataFrame(np.transpose([betahat, betasim, (betahat - betasim)]), columns = ['betahat', 'betasim', 'difs'])\n", + " summary = pd.DataFrame([[np.mean(df.difs),np.std(df.difs),np.min(df.difs),np.max(df.difs)]], columns = ['mn', 'sd', 'mi', 'mx'])\n", + " return df, summary\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "ba, summary = blandAltman (Betas, result)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def blandAltamGraph(ba, summary):\n", + " fig, ax = plt.subplots(figsize=(16,8))\n", + " ax.plot(ba.betasim, ba.difs, 'k.')\n", + " plt.xlabel('Beta Sim')\n", + " plt.ylabel('Difs')\n", + " ax.axhline(summary.mn[0])\n", + " ax.axhline(summary.mn[0]+2*summary.sd[0])\n", + " ax.axhline(summary.mn[0]-2*summary.sd[0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "blandAltamGraph(ba, summary)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "cc = pd.read_excel('data/outputCellines.xlsx', sheet_name = 1) \n", + "cc.index = cc.iloc[:,0].astype(int)\n", + "cc = cc.iloc[:, 1:]\n", + "cc.index.name = 'Subjects'" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'B cells naive'" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cc.iloc[:, 0].name" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.0" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 66bf74a4d5519e4c4360a411d601d0aa610835bc Mon Sep 17 00:00:00 2001 From: Matias Samuel Miranda Date: Thu, 16 Jan 2020 09:14:27 -0300 Subject: [PATCH 38/52] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index ef51895..e636ba9 100644 --- a/README.md +++ b/README.md @@ -43,8 +43,8 @@ Please read [CONTRIBUTING.md](https://gist.github.com/PurpleBooth/b24679402957c6 ## Authors -* **Elmer AndrĂ©s FernĂ¡ndez** - *Initial work* - CONICET, Catholic University of Cordoba - [Profile](https://www.researchgate.net/profile/Elmer_Fernandez) -* **Miranda Matias Samuel** - *Developer* - Catholic University of Cordoba +* **Elmer AndrĂ©s FernĂ¡ndez** - *Initial work* - CONICET, Universidad Catolica de Cordoba - [Profile](https://www.researchgate.net/profile/Elmer_Fernandez) +* **Miranda Matias Samuel** - *Developer* - Universidad Catolica de Cordoba ## License From e336d84010b2edffa41c6f6c9bf0df6bc8004ea5 Mon Sep 17 00:00:00 2001 From: MsMatias Date: Thu, 16 Jan 2020 16:37:11 -0300 Subject: [PATCH 39/52] report --- .../read celllines-checkpoint.ipynb | 15692 ++++++++++++++++ app/__pycache__/app.cpython-36.pyc | Bin 333 -> 332 bytes app/pages/__pycache__/__init__.cpython-36.pyc | Bin 145 -> 144 bytes app/pages/__pycache__/index.cpython-36.pyc | Bin 9125 -> 9124 bytes app/pages/__pycache__/validate.cpython-36.pyc | Bin 9489 -> 14675 bytes app/pages/validate copy.py | 538 + app/pages/validate.py | 422 +- cellines.ipynb | 2 +- celllines xlsx.ipynb | 48 +- read celllines.ipynb | 988 + 10 files changed, 17514 insertions(+), 176 deletions(-) create mode 100644 .ipynb_checkpoints/read celllines-checkpoint.ipynb create mode 100644 app/pages/validate copy.py create mode 100644 read celllines.ipynb diff --git a/.ipynb_checkpoints/read celllines-checkpoint.ipynb b/.ipynb_checkpoints/read celllines-checkpoint.ipynb new file mode 100644 index 0000000..60fd134 --- /dev/null +++ b/.ipynb_checkpoints/read celllines-checkpoint.ipynb @@ -0,0 +1,15692 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'rpy2'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrobjects\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mrobjects\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m 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"import pandas as pd\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from rpy2.robjects.packages import importr" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "from scipy.linalg import expm, sinm, cosm" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "import Mixture\n", + "import Mixture.Utils as mut" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "R[write to console]: Installing package into ‘/home/matias/R/x86_64-pc-linux-gnu-library/3.5’\n", + "(as ‘lib’ is unspecified)\n", + "\n", + "R[write to console]: trying URL 'https://cloud.r-project.org/src/contrib/BiocManager_1.30.7.tar.gz'\n", + "\n", + "R[write to console]: Content type 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}, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "utils = importr('utils')\n", + "base = importr('base')\n", + "utils.install_packages('BiocManager')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "R[write to console]: Bioconductor version 3.8 (BiocManager 1.30.7), R 3.5.3 (2019-03-11)\n", + "\n", + "R[write to console]: Installing package(s) 'limma'\n", + "\n", + "R[write to console]: trying URL 'https://bioconductor.org/packages/3.8/bioc/src/contrib/limma_3.38.3.tar.gz'\n", + "\n", + "R[write to console]: Content type 'application/x-gzip'\n", + "R[write to console]: length 1471609 bytes (1.4 MB)\n", + "\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to console]: =\n", + "R[write to 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"code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "df = readRDS('./data/celllines.rds')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "with localconverter(robjects.default_converter + pandas2ri.converter):\n", + " df = robjects.conversion.rpy2py(df)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "vector = np.array(df[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "#applying antilog\n", + "vector_exp = np.exp2(vector)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "dfcellines_exp = pd.DataFrame(vector_exp, columns = df[0].colnames)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "dfcellines_exp.insert(0, 'Gene symbol', df[2][0])" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "Y = dfcellines_exp" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "cores = 4\n", + "iters = 1000\n", + "output = 'outputCellines_TIL10'" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "X = pd.read_excel('data/TIL10_signature.xlsx', sheet_name = 0) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "with pd.ExcelWriter('Celllines.xlsx') as writer:\n", + " Y.to_excel(writer, sheet_name='E')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Gene symbol9068266879839109271240138124013990679291068812401351290812...7535849070449981849081451659787129815714803721298533930299905954.1
0TSPAN6198.366304187.230436419.444908222.419924212.198047134.7866219.748621124.63852961.522661...137.7240749.4250708.218597331.582284122.121882347.682936343.203766272.3380508.647798142.333051
1TNMD7.8060096.8576596.2484917.0514657.7690567.4110457.1018917.3347666.439167...6.9588416.7045337.8702307.2227676.1587176.2301907.3609395.7404697.3130227.131893
2DPM11332.1609073583.966033942.750905944.5417551368.936470875.5141991229.9509671181.1130021260.479567...1434.6524401392.0076831271.1882001403.5160911368.5906762824.4255901507.3277541773.950376938.2977201768.387206
3SCYL312.25071516.75926215.52186416.72230020.27317619.30500162.60333313.13216514.401152...12.96755524.65849420.37211214.50141115.42887021.49381211.71584921.75592919.25054817.154241
4C1orf11210.41565313.2919859.42583311.78119514.32410314.0749278.0660779.63609610.216540...13.24002115.43083713.9925179.17042014.07273320.88987618.9902728.4056489.38395910.821246
..................................................................
16527LINC00526110.42514539.8887768.8336268.90055712.57651147.64733637.08550218.27158817.313812...19.99887634.11457011.42672435.36113424.33169534.24644718.94109733.93833831.69368920.565258
16528KRT18P5510.0640167.9591337.39512114.04630910.6485597.9980027.42179610.9826437.812968...9.56273110.0104329.5243588.2318819.02621910.15222010.64835312.4700038.8313917.608029
16529POLRMTP18.7585759.5863559.0394748.4235719.27627410.4259899.1902637.1060778.930525...6.8387287.93511011.4266989.5420988.8104048.0417098.5081247.1975477.1247557.047236
16530UBL5P21014.544078512.999579553.808337994.814559981.590689420.167311673.943381879.015640712.913048...772.704052727.126167986.195846948.9865811037.551842644.5698771713.405686373.430458955.789824538.179233
16531TBC1D3P58.4194368.0010097.5489429.55661410.52775411.2936409.1483079.5436338.833999...10.6093169.5592659.1259358.91097810.25076810.8183689.9724269.0286779.47130210.017959
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16532 rows Ă— 1019 columns

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" + ], + "text/plain": [ + " Gene symbol 906826 687983 910927 1240138 \\\n", + "0 TSPAN6 198.366304 187.230436 419.444908 222.419924 \n", + "1 TNMD 7.806009 6.857659 6.248491 7.051465 \n", + "2 DPM1 1332.160907 3583.966033 942.750905 944.541755 \n", + "3 SCYL3 12.250715 16.759262 15.521864 16.722300 \n", + "4 C1orf112 10.415653 13.291985 9.425833 11.781195 \n", + "... ... ... ... ... ... \n", + "16527 LINC00526 110.425145 39.888776 8.833626 8.900557 \n", + "16528 KRT18P55 10.064016 7.959133 7.395121 14.046309 \n", + "16529 POLRMTP1 8.758575 9.586355 9.039474 8.423571 \n", + "16530 UBL5P2 1014.544078 512.999579 553.808337 994.814559 \n", + "16531 TBC1D3P5 8.419436 8.001009 7.548942 9.556614 \n", + "\n", + " 1240139 906792 910688 1240135 1290812 ... \\\n", + "0 212.198047 134.786621 9.748621 124.638529 61.522661 ... \n", + "1 7.769056 7.411045 7.101891 7.334766 6.439167 ... \n", + "2 1368.936470 875.514199 1229.950967 1181.113002 1260.479567 ... \n", + "3 20.273176 19.305001 62.603333 13.132165 14.401152 ... \n", + "4 14.324103 14.074927 8.066077 9.636096 10.216540 ... \n", + "... ... ... ... ... ... ... \n", + "16527 12.576511 47.647336 37.085502 18.271588 17.313812 ... \n", + "16528 10.648559 7.998002 7.421796 10.982643 7.812968 ... \n", + "16529 9.276274 10.425989 9.190263 7.106077 8.930525 ... \n", + "16530 981.590689 420.167311 673.943381 879.015640 712.913048 ... \n", + "16531 10.527754 11.293640 9.148307 9.543633 8.833999 ... \n", + "\n", + " 753584 907044 998184 908145 1659787 \\\n", + "0 137.724074 9.425070 8.218597 331.582284 122.121882 \n", + "1 6.958841 6.704533 7.870230 7.222767 6.158717 \n", + "2 1434.652440 1392.007683 1271.188200 1403.516091 1368.590676 \n", + "3 12.967555 24.658494 20.372112 14.501411 15.428870 \n", + "4 13.240021 15.430837 13.992517 9.170420 14.072733 \n", + "... ... ... ... ... ... \n", + "16527 19.998876 34.114570 11.426724 35.361134 24.331695 \n", + "16528 9.562731 10.010432 9.524358 8.231881 9.026219 \n", + "16529 6.838728 7.935110 11.426698 9.542098 8.810404 \n", + "16530 772.704052 727.126167 986.195846 948.986581 1037.551842 \n", + "16531 10.609316 9.559265 9.125935 8.910978 10.250768 \n", + "\n", + " 1298157 1480372 1298533 930299 905954.1 \n", + "0 347.682936 343.203766 272.338050 8.647798 142.333051 \n", + "1 6.230190 7.360939 5.740469 7.313022 7.131893 \n", + "2 2824.425590 1507.327754 1773.950376 938.297720 1768.387206 \n", + "3 21.493812 11.715849 21.755929 19.250548 17.154241 \n", + "4 20.889876 18.990272 8.405648 9.383959 10.821246 \n", + "... ... ... ... ... ... \n", + "16527 34.246447 18.941097 33.938338 31.693689 20.565258 \n", + "16528 10.152220 10.648353 12.470003 8.831391 7.608029 \n", + "16529 8.041709 8.508124 7.197547 7.124755 7.047236 \n", + "16530 644.569877 1713.405686 373.430458 955.789824 538.179233 \n", + "16531 10.818368 9.972426 9.028677 9.471302 10.017959 \n", + "\n", + "[16532 rows x 1019 columns]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Y" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "scrolled": true, + "slideshow": { + "slide_type": "-" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running mixer with subjects (Count: 1019)...\n", + "Normalizing data\n", + "Processing...\n", + "--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "Subject: 687983 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Subject: 1240138 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Subject: 906826 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Subject: 910927 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1240138\n", + "Iter: 1 Subject: 687983\n", + "Iter: 1 Subject: 910927Iter: 1 Subject: 906826\n", + "\n", + "Iter: 2 Subject: 1240138\n", + "Iter: 2 Subject: 910927\n", + "Iter: 2 Subject: 906826\n", + "Iter: 2 Subject: 687983\n", + "Iter: 3 Subject: 1240138\n", + "Iter: 3 Subject: 910927\n", + "--------------------------------------------------\n", + "Subject: 1240139 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 687983\n", + "--------------------------------------------------\n", + "Subject: 906792 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 910688 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 4 Subject: 687983\n", + "Iter: 1 Subject: 1240139\n", + "Iter: 1 Subject: 906792\n", + "Iter: 1 Subject: 910688\n", + "--------------------------------------------------\n", + "Subject: 1240135 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 906792\n", + "Iter: 2 Subject: 1240139\n", + "Iter: 2 Subject: 910688Iter: 1 Subject: 1240135\n", + "\n", + "Iter: 3 Subject: 1240139\n", + "Iter: 3 Subject: 906792\n", + "Iter: 3 Subject: 910688Iter: 2 Subject: 1240135\n", + "--------------------------------------------------\n", + "\n", + "Subject: 1290812 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 907045 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------Iter: 4 Subject: 910688\n", + "\n", + "Subject: 906861 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 907045\n", + "--------------------------------------------------\n", + "Subject: 906830 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1290812\n", + "Iter: 1 Subject: 906861\n", + "Iter: 2 Subject: 907045\n", + "Iter: 2 Subject: 1290812\n", + "Iter: 1 Subject: 906830\n", + "--------------------------------------------------Iter: 2 Subject: 906861\n", + "Subject: 909750 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", + "Subject: 1240137 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 906830\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 909750\n", + "Subject: 753552 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 906830\n", + "Iter: 1 Subject: 1240137\n", + "--------------------------------------------------\n", + "Subject: 907065 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 909750\n", + "--------------------------------------------------\n", + "Subject: 925338 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 753552\n", + "Iter: 1 Subject: 925338\n", + "Iter: 2 Subject: 1240137\n", + "Iter: 1 Subject: 907065\n", + "Iter: 2 Subject: 753552\n", + "Iter: 2 Subject: 925338\n", + "--------------------------------------------------\n", + "Subject: 1290809 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 907065\n", + "Iter: 3 Subject: 753552\n", + "--------------------------------------------------\n", + "Subject: 949158 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1290809\n", + "--------------------------------------------------\n", + "Subject: 924110 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 1240134 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1290809\n", + "Iter: 1 Subject: 949158Iter: 1 Subject: 924110\n", + "\n", + "--------------------------------------------------\n", + "Subject: 907172 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1240134\n", + "Iter: 2 Subject: 949158\n", + "Iter: 2 Subject: 924110\n", + "Iter: 2 Subject: 1240134Iter: 1 Subject: 907172\n", + "\n", + "Iter: 3 Subject: 924110\n", + "--------------------------------------------------\n", + "Subject: 687452 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 1240134Iter: 2 Subject: 907172\n", + "\n", + "--------------------------------------------------\n", + "Subject: 905947 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 1298134 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 687452\n", + "--------------------------------------------------\n", + "Subject: 907058 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 905947\n", + "Iter: 1 Subject: 1298134Iter: 2 Subject: 687452\n", + "\n", + "Iter: 1 Subject: 907058\n", + "--------------------------------------------------Iter: 2 Subject: 905947--------------------------------------------------\n", + "Subject: 1290814 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "\n", + "Subject: 905975 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 907058\n", + "--------------------------------------------------\n", + "Subject: 905939 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1290814\n", + "Iter: 1 Subject: 905975\n", + "--------------------------------------------------\n", + "Subject: 910704 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 905939\n", + "Iter: 2 Subject: 905975\n", + "Iter: 2 Subject: 1290814\n", + "Iter: 1 Subject: 910704\n", + "Iter: 2 Subject: 905939--------------------------------------------------\n", + "Subject: 908460 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", + "Subject: 909745 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 910704\n", + "Iter: 3 Subject: 905939\n", + "Iter: 1 Subject: 908460\n", + "Iter: 1 Subject: 909745\n", + "Iter: 3 Subject: 910704\n", + "--------------------------------------------------\n", + "Subject: 907173 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 908460\n", + "Iter: 2 Subject: 909745\n", + "Iter: 4 Subject: 910704\n", + "Iter: 1 Subject: 907173\n", + "Iter: 3 Subject: 908460\n", + "--------------------------------------------------\n", + "Subject: 905936 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 1303896 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 907173\n", + "--------------------------------------------------\n", + "Subject: 907320 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 1 Subject: 905936\n", + "Iter: 1 Subject: 1303896\n", + "Iter: 3 Subject: 907173\n", + "Iter: 1 Subject: 907320\n", + "--------------------------------------------------\n", + "Subject: 688058 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1303896Iter: 2 Subject: 905936\n", + "\n", + "Iter: 2 Subject: 907320\n", + "--------------------------------------------------\n", + "Subject: 905974 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 688058\n", + "Iter: 3 Subject: 1303896\n", + "--------------------------------------------------\n", + "Subject: 907060 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 688058\n", + "--------------------------------------------------\n", + "Subject: 908470 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 905974\n", + "--------------------------------------------------\n", + "Subject: 908465 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 907060\n", + "Iter: 2 Subject: 907060Iter: 2 Subject: 905974\n", + "\n", + "Iter: 1 Subject: 908470\n", + "Iter: 1 Subject: 908465\n", + "----------------------------------------------------------------------------------------------------\n", + "Subject: 909703 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Subject: 906746 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 908465\n", + "Iter: 2 Subject: 908470\n", + "--------------------------------------------------\n", + "Subject: 724855 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 908465\n", + "Iter: 1 Subject: 909703\n", + "Iter: 1 Subject: 724855\n", + "Iter: 1 Subject: 906746\n", + "Iter: 2 Subject: 909703\n", + "--------------------------------------------------\n", + "Subject: 724831 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 724855\n", + "Iter: 2 Subject: 906746\n", + "Iter: 3 Subject: 909703\n", + "Iter: 1 Subject: 724831\n", + "--------------------------------------------------\n", + "Subject: 906813 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 946359 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 906746\n", + "Iter: 2 Subject: 724831\n", + "Iter: 1 Subject: 906813\n", + "Iter: 3 Subject: 724831\n", + "--------------------------------------------------\n", + "Subject: 909707 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 946359\n", + "Iter: 2 Subject: 906813--------------------------------------------------\n", + "Subject: 910399 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Iter: 1 Subject: 909707\n", + "Iter: 2 Subject: 946359\n", + "--------------------------------------------------\n", + "Subject: 687816 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 910399\n", + "Iter: 3 Subject: 946359\n", + "Iter: 2 Subject: 909707\n", + "Iter: 1 Subject: 687816\n", + "Iter: 3 Subject: 909707\n", + "Iter: 2 Subject: 910399\n", + "--------------------------------------------------\n", + "Subject: 907794 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 909698 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 910399\n", + "Iter: 2 Subject: 687816\n", + "Iter: 1 Subject: 907794\n", + "--------------------------------------------------\n", + "Subject: 910903 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 909698\n", + "Iter: 3 Subject: 687816\n", + "Iter: 2 Subject: 907794Iter: 2 Subject: 909698\n", + "\n", + "Iter: 1 Subject: 910903--------------------------------------------------\n", + "Subject: 910952 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 909698\n", + "Iter: 4 Subject: 687816Iter: 2 Subject: 910903\n", + "\n", + "Iter: 1 Subject: 910952\n", + "--------------------------------------------------\n", + "Subject: 909784 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 910903\n", + "--------------------------------------------------\n", + "Subject: 724873 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 910952\n", + "--------------------------------------------------\n", + "Subject: 684055 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 909784\n", + "Iter: 1 Subject: 724873\n", + "Iter: 3 Subject: 910952\n", + "Iter: 2 Subject: 909784\n", + "Iter: 1 Subject: 684055\n", + "Iter: 2 Subject: 724873--------------------------------------------------\n", + "Subject: 906815 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Iter: 2 Subject: 684055\n", + "Iter: 3 Subject: 909784\n", + "Iter: 1 Subject: 906815\n", + "--------------------------------------------------\n", + "Subject: 906834 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 753574\n", + "Iter: 2 Subject: 1327774\n", + "Iter: 2 Subject: 1298219\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 907786Subject: 924239 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 1240169 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Subject: 906863 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 906833\n", + "Iter: 3 Subject: 687780\n", + "--------------------------------------------------\n", + "Subject: 906795 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 906843\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 4 Subject: 687780\n", + "Iter: 1 Subject: 1240128\n", + "Iter: 1 Subject: 906795Iter: 2 Subject: 906843\n", + "\n", + "--------------------------------------------------\n", + "Subject: 910925 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 910687 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 910700\n", + "Iter: 2 Subject: 753535\n", + "Iter: 1 Subject: 753624Iter: 2 Subject: 910687\n", + "\n", + "Iter: 2 Subject: 910700\n", + "--------------------------------------------------\n", + "Subject: 910703 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 753535\n", + "--------------------------------------------------\n", + "Subject: 906821 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 753624\n", + "--------------------------------------------------\n", + "Subject: 924105 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------Iter: 2 Subject: 1290773\n", + "\n", + "Iter: 1 Subject: 687596\n", + "Iter: 1 Subject: 906841\n", + "--------------------------------------------------\n", + "Subject: 949163 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 906852\n", + "Iter: 2 Subject: 687596\n", + "Iter: 2 Subject: 906841\n", + "Iter: 1 Subject: 949163\n", + "--------------------------------------------------\n", + "Subject: 908125 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 906852\n", + "Iter: 3 Subject: 906841\n", + "Iter: 3 Subject: 906852\n", + "Iter: 2 Subject: 949163\n", + "--------------------------------------------------Iter: 1 Subject: 908125\n", + "Subject: 905984 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--------------------------------------------------\n", + "Subject: 909743 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 753572 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 908125\n", + "Iter: 1 Subject: 905984\n", + "Iter: 1 Subject: 909743\n", + "Iter: 2 Subject: 905984\n", + "Iter: 1 Subject: 753572\n", + "--------------------------------------------------\n", + "Subject: 909976 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 684059\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 2 Subject: 1303900\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 684059Subject: 906804 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 1290906\n", + "--------------------------------------------------\n", + "Subject: 906836 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 906848 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 3 Subject: 907000\n", + "Iter: 3 Subject: 1240221\n", + "Iter: 1 Subject: 1298218\n", + "Iter: 1 Subject: 749712\n", + "--------------------------------------------------\n", + "Subject: 1723794 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 1298156 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iter: 1 Subject: 909776Iter: 2 Subject: 1322218--------------------------------------------------\n", + "\n", + "\n", + "Subject: 1659819 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 722046\n", + "Iter: 2 Subject: 909776\n", + "Iter: 3 Subject: 1322218\n", + "Iter: 1 Subject: 1659819\n", + "Iter: 2 Subject: 722046\n", + "Iter: 4 Subject: 1322218\n", + "Iter: 3 Subject: 909776\n", + "Iter: 3 Subject: 722046\n", + "Iter: 2 Subject: 1659819\n", + "----------------------------------------------------------------------------------------------------\n", + "Subject: 908130 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "Subject: 687448 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 907044\n", + "Iter: 3 Subject: 753584\n", + "--------------------------------------------------\n", + "Subject: 1659787 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 1298157 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 998184\n", + "Iter: 1 Subject: 908145\n", + "--------------------------------------------------\n", + "Subject: 1480372 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1659787\n", + "Iter: 1 Subject: 1298157\n", + "Iter: 2 Subject: 908145\n", + "Iter: 2 Subject: 1659787\n", + "Iter: 1 Subject: 1480372\n", + "Iter: 2 Subject: 1298157\n", + "Iter: 3 Subject: 908145\n", + "Iter: 3 Subject: 1659787\n", + "Iter: 2 Subject: 1480372\n", + "--------------------------------------------------Iter: 3 Subject: 1298157\n", + "\n", + "Subject: 1298533 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 930299 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 905954.1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 1298533\n", + "Iter: 1 Subject: 930299\n", + "Iter: 1 Subject: 905954.1\n", + "Iter: 2 Subject: 1298533\n", + "Iter: 2 Subject: 930299\n", + "Iter: 2 Subject: 905954.1\n", + "Iter: 3 Subject: 1298533\n", + "_____________________________________________________________________\n", + "Finish nuSvm\n", + "Finish mixer\n", + "Get Medias\n", + "Creating population (Count: 1000)...\n", + "------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "Creating Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 4 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 5 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 6 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 12 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "\n", + "--------------------------------------------------Creating Subject: 13 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 14 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 15 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--------------------------------------------------\n", + "Creating Subject: 16 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 17 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "Creating Subject: 18 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 19 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 886 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Creating Subject: 888 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 887 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 889 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 890 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 891 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 892 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 893 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 894 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 925 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--------------------------------------------------\n", + "Creating Subject: 926 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "Creating Subject: 927 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 928 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 964 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 965 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 967 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 966 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--------------------------------------------------\n", + "Creating Subject: 976 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 977 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 978 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 979 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 980 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 981 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 982 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Creating Subject: 983 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 984 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 986 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 985 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 987 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 988 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 989 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", + "Creating Subject: 990 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 991 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 992 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 993 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Creating Subject: 994 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 995 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 996 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "Creating Subject: 997 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Creating Subject: 998 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Creating Subject: 999 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Finish creating population\n", + "Finish\n", + "Running mixer with porpulationBased (Count: 1001)\n", + "Normalizing data\n", + "Processing...\n", + "----------------------------------------------------------------------------------------------------\n", + "Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "\n", + "Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "----------------------------------------------------------------------------------------------------\n", + "\n", + "Subject: 3 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 4\n", + "--------------------------------------------------\n", + "Subject: 7 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 5\n", + "Iter: 1 Subject: 6\n", + "Iter: 1 Subject: 7\n", + "Iter: 2 Subject: 4\n", + "Iter: 2 Subject: 5\n", + "Iter: 2 Subject: 6\n", + "Iter: 2 Subject: 7Iter: 3 Subject: 4\n", + "\n", + "Iter: 3 Subject: 5\n", + "Iter: 3 Subject: 6\n", + "--------------------------------------------------\n", + "--------------------------------------------------Subject: 8 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "\n", + "Subject: 9 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 3 Subject: 990\n", + "Iter: 3 Subject: 992\n", + "Iter: 1 Subject: 994\n", + "Iter: 4 Subject: 992--------------------------------------------------\n", + "\n", + "Subject: 995 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 993\n", + "Iter: 2 Subject: 994\n", + "--------------------------------------------------\n", + "Subject: 996 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 995\n", + "Iter: 2 Subject: 993\n", + "--------------------------------------------------\n", + "Subject: 997 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 1 Subject: 996\n", + "Iter: 3 Subject: 993Iter: 2 Subject: 995\n", + "\n", + "Iter: 1 Subject: 997\n", + "Iter: 3 Subject: 995Iter: 4 Subject: 993\n", + "\n", + "Iter: 2 Subject: 996\n", + "--------------------------------------------------\n", + "Subject: 998 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "--------------------------------------------------\n", + "Subject: 999 Nro. Processor: <_MainProcess(MainProcess, started)>\n", + "--------------------------------------------------\n", + "Iter: 2 Subject: 997\n", + "Iter: 3 Subject: 996\n", + "Iter: 4 Subject: 996\n", + "Iter: 1 Subject: 999Iter: 1 Subject: 998\n", + "\n", + "Iter: 2 Subject: 999\n", + "Iter: 2 Subject: 998\n", + "Iter: 3 Subject: 999\n", + "Iter: 3 Subject: 998\n", + "Iter: 4 Subject: 999\n", + "Iter: 4 Subject: 998\n", + "_____________________________________________________________________\n", + "Finish nuSvm\n", + "Finish\n" + ] + } + ], + "source": [ + "# Run Mixer Function\n", + "if __name__ == '__main__':\n", + " result2, pValues2 = Mixture.Mixture(X, Y , cores, iters, output)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Terminado\n" + ] + } + ], + "source": [ + "print('Terminado')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/app/__pycache__/app.cpython-36.pyc b/app/__pycache__/app.cpython-36.pyc index 4c5cad6ddc4e7e1fef8accb422815cb9f541274c..23c05c0b283f5d1ea7548811e5db11de7e27ee94 100644 GIT binary patch delta 51 zcmX@hbcTt;n3tF9f0;HAM*11~xvBcOi6xnd#krY9iFqlB`Y!p&rManjCB>6v G84Uo)YZ2!F delta 52 zcmX@Zbe4(3n3tEU{pa=Ai5%bLjrB9~b5r$m6H77^i}hXdlS^|`^GfoI_0uy;GD?#s I%P<-M0Qkug`Tzg` diff --git a/app/pages/__pycache__/__init__.cpython-36.pyc b/app/pages/__pycache__/__init__.cpython-36.pyc index c8c96eaa3baf8b19b3971c0789f64505faca78d1..e36c290a94ae69e8b5648ddd7b0483fdbb4393e9 100644 GIT binary patch delta 50 zcmbQpIDwJFn3tF9f0;?(%jU%lH!SR F#sG&X5c&WB delta 51 zcmbQhIFXUVn3tEU{pa=Ai5%wgcKR9lxvBcOi6xnd#riJ!$)&lec_sP9`stY^8Kp@R GV~qi|MG_4F diff --git a/app/pages/__pycache__/index.cpython-36.pyc b/app/pages/__pycache__/index.cpython-36.pyc index c85431907ac3c84d0666cd758cdaae9df9f4178c..b918ffcdb20e0a1b8b19b99f2e4f0de0d00d7583 100644 GIT binary patch delta 1114 zcmZ9L&2Lmy6u{?prmxdtfs!fxn10L*1bvvMYM~-u<*T&D43xChBWHt_s%=#+;h*@ zU7cE)N{@ARb~F|;AN`nqk{a4OS_yqQ>RZaSBHsloaIDc|pQLQ{3XPRT3zjU0NK5GOlHELSa|;so{&HKif$+L}Md%7$_PO zoZtgo3Vd3>(A_1(5&XW#q#-@p>aEM~^}N-Tdnd^AMUhBEEhHETGyS|d_*+lka6HK> z8FZTpOO9)+II@`nMam-f_0EZ_c)Ir&O8ND^y3tG)*ZS@nx5)u+;kW(Yh}*a)yNwd~ zAp4zIsXxnZ65AWD4|{~FxUe}&b9jQ_3MO8w=bg2)vO8I;{X0+pSBvjkJX9hT2AK0|*vYsCLH z-W(o3^aX3bV%#7UH%uS9~9T572jkpl{;AV~datBCAVMSN3y^0jcG(3d{wi!Xfldl_kTX- zx5?|1iIMj9wsSB4{_0-hX*|6#Ukb`HU$&KNhxzfqsg|X$f-pbls#3L3|36-i3yp)(WoR=j*%cYSO{Iu?V_{(-!ZR`! 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z4^rh^*ZQT>OBD(#3+23`^-uf_wWgLxQK6amf+Q}}(4+(^eFM?qy4!??BVHXfL%^sT z)JjlBV>_IeKOssSq*g2wFI+UQJhls}Fe-BVpBaXj) zK%|9TQvMOD^hOV;cmJrX%tg4TR^VNNZX3~mASD@GagY5(hip6 e5eimjJTnL0!PQizz@}{CZx|~(Z~<>a1@^yfq8yk2 diff --git a/app/pages/validate copy.py b/app/pages/validate copy.py new file mode 100644 index 0000000..11cd6d3 --- /dev/null +++ b/app/pages/validate copy.py @@ -0,0 +1,538 @@ +import base64 +import io +import dash +import Mixture +import multiprocessing + +import numpy as np +import pandas as pd + +from joblib import Parallel, delayed + +from random import seed +from random import sample +from random import randint + +from dash.dependencies import Input, Output, State +import dash_core_components as dcc +import dash_html_components as html +import dash_table as dt +from flask import send_file +import plotly.graph_objects as go +from plotly.subplots import make_subplots +from scipy import stats + +from app import app + +signature = None +filename_signature = None +dataFrameSignature = None +result1 = None +pValues1 = None +tableMetrics1 = None +result2 = None +pValues2 = None +tableMetrics2 = None +subjects = None +betas = None +lines = None +estimate_lines = None +ids = None +result3 = None + +seed(123) + +layout = html.Div([ + html.Div([ + html.Div([ + html.P('Molecular Signature file:'), + dcc.Upload( + id='upload-data', + children=html.Div([ + 'Drag and Drop or ', + html.A('Select File') + ]), style={ + 'width': '100%', + 'height': '60px', + 'lineHeight': '60px', + 'borderWidth': '1px', + 'borderStyle': 'dashed', + 'borderRadius': '5px', + 'textAlign': 'center', + 'margin': '10px' + }, + # Allow multiple files to be uploaded + multiple=True + ), + dcc.Loading(id="loading-1", children=[html.Div(id="loading-output-msignature")], type="default"), + html.P('False discovery test', style={ + 'border-top': '1px black solid', + 'margin-top': '20px' + }), + dcc.Checklist( + id="check_celllines", + options=[ + {'label': 'Use Cellines', 'value': 'cellines'}, + ], + value=['cellines'] + ), + html.P('CPUs:', style={ + 'margin-top': '20px' + }), + dcc.Slider( + id='cpu-slider', + min=1, + max=multiprocessing.cpu_count(), + step=1, + marks={i: '{}'.format(i) for i in range(multiprocessing.cpu_count()+1)}, + value=multiprocessing.cpu_count() + ), + html.Button('Submit', id='button_validate', style = { + 'margin-top': '30px' + }) + ], style={ + '-webkit-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + '-moz-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'margin': '0px', + 'background-color': '#FFFFFF', + 'padding': '20px', + 'border-radius': '5px', + 'width': '20vw', + 'max-width': '20vw' + }), + html.Div([ + html.Div(id='output-processing'), + dcc.Loading(id='loading-result', children=[html.Div(id='loading-output-result')], type='default') + ], style={ + '-webkit-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + '-moz-box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'box-shadow': '1px 2px 3px 1px rgba(0,0,0,0.25)', + 'margin': '0px', + 'margin-left': '10px', + 'background-color': '#FFFFFF', + 'padding': '20px', + 'border-radius': '5px', + 'width': '80vw', + 'max-width': '80vw' + }) + ], style = { + 'width':'100%', + 'height':'100%', + 'margin': '0px', + 'padding': '0px', + 'display': 'flex', + 'flex-direction': 'row' +}) +], style = { + 'width':'100%', + 'height':'100%', + 'display': '-webkit-flex', + '-webkit-flex-direction': 'column', + 'display': 'flex', + 'flex-direction': 'column', + 'margin': '0px', + 'padding': '0px', + 'background-color': '#F7F7F7', +}) + +def createBetas (X, a, b, n): + + ns = randint(a, b) + r = np.random.uniform(1, 0.2, ns) + rn = r/r.sum() + id = sample(range(n-1), ns) + betas = np.repeat(.0, n, axis=0) + for index, i in enumerate(id, start = 0): + betas[i] = rn[index] + + vector = X.to_numpy(copy=True) + vector = vector.flatten() + + A = np.dot(X, betas) + vector[sample(range(len(vector)), len(X.index))] + + return betas, id, A + + +def parse_contents(contents, filename, date): + content_type, content_string = contents.split(',') + + global signature, filename_signature, dataFrameSignature + + decoded = base64.b64decode(content_string) + try: + if 'csv' in filename: + # Assume that the user uploaded a CSV file + dataFrameSignature = pd.read_csv( + io.StringIO(decoded.decode('utf-8'))) + elif 'xls' in filename or 'xlsx' in filename: + # Assume that the user uploaded an excel file + signature = io.BytesIO(decoded) + dataFrameSignature = pd.read_excel(signature, sheet_name = 0) + + except Exception as e: + print(e) + return html.Div([ + 'There was an error processing this file.' + ]) + filename_signature = filename + + return html.Div([ + html.P('Selected: ' + filename), + html.P('Max number of cell lines in the mixture simulated sample:', style={ + 'margin-top': '10px' + }), + dcc.RangeSlider( + id='lines_slider', + min=2, + max=(len(dataFrameSignature.columns)-1), + step=1, + # marks={i: '{}'.format(i) for i in range(len(dataFrameSignature.columns)+1)}, + marks={ + 2: '2', + round((len(dataFrameSignature.columns)-1)/2): str(round((len(dataFrameSignature.columns)-1)/2)), + (len(dataFrameSignature.columns)-1): str((len(dataFrameSignature.columns)-1)) + }, + value=[2, round((len(dataFrameSignature.columns)-1)*0.75)] + ), + html.P(id='lines_slider_output', style={ + 'margin-top': '40px' + }) + ]) + + +@app.callback(Output('loading-output-msignature', 'children'), + [Input('upload-data', 'contents')], + [State('upload-data', 'filename'), + State('upload-data', 'last_modified')]) +def update_output(list_of_contents, list_of_names, list_of_dates): + if list_of_contents is not None: + children = [ + parse_contents(c, n, d) for c, n, d in + zip(list_of_contents, list_of_names, list_of_dates)] + return children + +@app.callback(Output('lines_slider_output', 'children'), + [Input('lines_slider', 'value')]) +def update_lines(lines_slider): + return 'Selected lines: from {} to {}'.format(lines_slider[0], lines_slider[1]) + +@app.callback( + Output("loading-output-result", "children"), + [dash.dependencies.Input('button_validate', 'n_clicks')], + [dash.dependencies.State('lines_slider', 'value'), + dash.dependencies.State('cpu-slider', 'value'), + dash.dependencies.State('check_celllines', 'value')]) +def update_output(n_clicks, lines_slider, cpu, celllines): + + global signature, dataFrameSignature, result1, pValues1, tableMetrics1, result2, pValues2, tableMetrics2, subjects, betas, lines, estimate_lines, ids, result3 + + if n_clicks is not None: + + X = dataFrameSignature + + Y = dataFrameSignature + + #if __name__ == '__main__': + #if __name__ == 'app': + if True: + + rango = 1000 + + lines = lines_slider + + # Escenario 1 + result1, pValues1 = Mixture.Mixture(X, Y , cpu, 1, '') + metrics1 = result1.Subjects[0].ACCmetrix[0].reset_index() + + # Escenario 2 + X = dataFrameSignature.iloc[:, 1:] + + subjects = Parallel(n_jobs=cpu, backend='threading')(delayed(createBetas)(X = X, a = lines[0], b = lines[1], n = len(X.columns)) for i in range(rango)) + + # Getting expression matrix + vector = [x[2] for x in subjects] + columns = ['V' + str(x+1) for x in range(len(subjects))] + Y2 = pd.DataFrame(np.column_stack(vector), columns=columns) + Y2.insert(0, 'Gene symbol', dataFrameSignature['Gene symbol']) + + # Getting Real Betas Matrix + vector = [x[0] for x in subjects] + columns = ['V' + str(x+1) for x in range(len(subjects))] + betas = pd.DataFrame(np.column_stack(vector), columns=columns) + + X = dataFrameSignature + + result2, pValues2 = Mixture.Mixture(X, Y2 , cpu, 1, '') + + betasSim = result2.Subjects[0].MIXprop[0].to_numpy(copy = True) + estimate_lines = pd.DataFrame([(betasSim[i] > 0).sum() for i in range(rango)]) + metrics2 = result2.Subjects[0].ACCmetrix[0].reset_index() + + vector = [len(x[1]) for x in subjects] + ids = pd.DataFrame(np.column_stack(vector)) + + #Celllines analysis + if celllines[0] == 'cellines': + #Y3 = pd.read_excel(dataCelllines, sheet_name = 0) + #result3, pValues3 = Mixture.Mixture(X, Y3 , cpu, 1, '') + cc = pd.read_excel('../data/outputCellines.xlsx', sheet_name = 0) + cc.index = cc.iloc[:,0].astype(int) + cc.index.name = 'Subjects' + result3 = cc.iloc[:, 1:] + children_tabs = [ + dcc.Tab(label='Similation Test', value='tab4-1', style={'padding': '0px'}, selected_style={'padding': '0px'}), + dcc.Tab(label='False Discovery Test', value='tab4-2', style={'padding': '0px'}, selected_style={'padding': '0px'}) + ] + else: + children_tabs = [ + dcc.Tab(label='Similation Test', value='tab4-1', style={'padding': '0px'}, selected_style={'padding': '0px'}) + ] + + children = [ + dcc.Tabs(id='tabs4', value='tab4-1', children=[ + dcc.Tab(label='Similation Test', value='tab4-1', style={'padding': '0px'}, selected_style={'padding': '0px'}), + dcc.Tab(label='False Discovery Test', value='tab4-2', style={'padding': '0px'}, selected_style={'padding': '0px'}) + ], style={ + 'height': '35px' + }), + html.Div(id='tabs4-content') + ] + + return children + +@app.callback(Output('tabs4-content', 'children'), + [Input('tabs4', 'value')]) +def render_content2(tab): + if tab == 'tab4-1': + return html.Div([ + dcc.Tabs(id='tabs5', value='tab5-1', children=[ + dcc.Tab(label='Bland-Altman analysis', value='tab5-1', style={'padding': '0px'}, selected_style={'padding': '0px'}), + dcc.Tab(label='Correlation analysis', value='tab5-2', style={'padding': '0px'}, selected_style={'padding': '0px'}), + dcc.Tab(label='Self test', value='tab5-3', style={'padding': '0px'}, selected_style={'padding': '0px'}), + dcc.Tab(label='Number of Cell types', value='tab5-4', style={'padding': '0px'}, selected_style={'padding': '0px'}), + ], style={ + 'height': '35px' + }), + html.Div(id='tabs5-content') + ]) + elif tab == 'tab4-2': + return html.Div([ + dcc.Tabs(id='tabs6', value='tab6-2', children=[ + dcc.Tab(label='Number of Cell types', value='tab6-1', style={'padding': '0px'}, selected_style={'padding': '0px'}), + dcc.Tab(label='Absolute Beta Estimation', value='tab6-2', style={'padding': '0px'}, selected_style={'padding': '0px'}), + ], style={ + 'height': '35px' + }), + html.Div(id='tabs6-content') + ]) + +@app.callback(Output('graph1-div', 'children'), + [Input('drop_graph1', 'value')]) +def render_graph1 (value): + global result1, result2, betas, lines, estimate_lines, ids + count = len(result2.Subjects[0].MIXprop[0]) + betasSim = result2.Subjects[0].MIXprop[0].T.to_numpy(copy=True) + betasSim = betasSim.flatten() + betasHat = betas.to_numpy(copy=True) + betasHat = betasHat.flatten() + mean = np.mean(betasSim - betasHat) + std = np.std(betasSim - betasHat) + if value == 'pro': + xx = betasHat + yy = betasSim - betasHat + elif value == 'per': + xx = betasHat + m = (betasSim + betasHat)/2 + yy = (betasSim - betasHat) + yy = 100 * np.divide(yy, m, out=np.zeros_like(yy), where=m!=0) + + slope, intercept, r_value, p_value, std_err = stats.linregress(xx, yy) + + fig = make_subplots(rows=1, cols=2, column_widths=[0.7, 0.3], shared_yaxes=True) + fig.add_trace(go.Scatter( + x = xx, + y = yy, + mode='markers', + marker_color='rgba(0, 0, 0, .9)' + ),row=1, col=1) + fig.add_trace(go.Scatter(x=xx, y=intercept + slope*xx, + mode='lines', + name='lines'),row=1, col=1) + fig.add_trace(go.Violin(y=yy, box_visible=True, line_color='black', + meanline_visible=True, fillcolor='blue', opacity=0.8, + x0='Violin'),row=1, col=2) + + + fig['layout'].update( + height=700, + shapes=[ + go.layout.Shape( + type="line", + xref="x1", + x0=0, + y0=mean, + x1=1, + y1=mean, + line=dict( + color="red", + width=2, + dash="dashdot", + ), + ), + go.layout.Shape( + type="line", + xref="x1", + x0=0, + y0=(mean+2*std), + x1=1, + y1=(mean+2*std), + line=dict( + color="blue", + width=2, + dash="dashdot", + ), + ), + go.layout.Shape( + type="line", + xref="x1", + x0=0, + y0=(mean-2*std), + x1=1, + y1=(mean-2*std), + line=dict( + color="blue", + width=2, + dash="dashdot", + ), + ) + ]) + + children = [ + dcc.Graph( + id='graph-3', + figure=fig + ) + ] + return children + +@app.callback(Output('tabs5-content', 'children'), + [Input('tabs5', 'value')]) +def render_content1(tab): + global result1, result2, betas, lines, estimate_lines, ids + count = len(result2.Subjects[0].MIXprop[0]) + if tab == 'tab5-1': + betasSim = result2.Subjects[0].MIXprop[0].T.to_numpy(copy=True) + betasSim = betasSim.flatten() + betasHat = betas.to_numpy(copy=True) + betasHat = betasHat.flatten() + mean = np.mean(betasSim - betasHat) + std = np.std(betasSim - betasHat) + + return html.Div( + children = [ + dcc.RadioItems( + id='drop_graph1', + options=[ + {'label': 'Proportions', 'value': 'pro'}, + {'label': 'Percents', 'value': 'per'} + ], + value='pro' + ), + html.Div(id='graph1-div') + ]) + elif tab == 'tab5-2': + betasSim = result2.Subjects[0].MIXprop[0].T.to_numpy(copy=True) + betasSim = betasSim.flatten() + betasHat = betas.to_numpy(copy=True) + betasHat = betasHat.flatten() + slope, intercept, r_value, p_value, std_err = stats.linregress(betasHat, betasSim) + return html.Div([ + dcc.Graph( + id='graph-3', + figure=go.Figure(data=[go.Scatter( + x = betasHat, + y = betasSim, + mode='markers', + marker_color='rgba(0, 0, 0, .9)' + ), + go.Scatter(x=betasHat, y=intercept + slope*betasHat, + mode='lines', + name='lines') + ], + layout=go.Layout( + shapes=[ + go.layout.Shape( + type="line", + x0=0, + y0=0, + x1=1, + y1=1, + line=dict( + color="blue", + width=2, + ), + ) + ], + height=700, + xaxis=dict(tickangle=-90, automargin= True) + ) + ) + ) + ]) + elif tab == 'tab5-3': + items = [result1.Subjects[0].MIXprop[0].iloc[j].values for j in range(len(result1.Subjects[0].MIXprop[0]))] + return html.Div([ + dcc.Graph( + id='graph-3', + figure=go.Figure(data=go.Heatmap( + z=np.transpose(items), + x=result1.Subjects[0].MIXprop[0].index, + y=result1.Subjects[0].MIXprop[0].columns, + colorscale= [ + [0.0, 'rgb(255,255,255)'], + [1.0, 'rgb(255,0,0)'] + ] + ), + layout=go.Layout( + height=700, + xaxis=dict(tickangle=-90, automargin= True) + ) + ) + ) + ]) + elif tab == 'tab5-4': + items = [go.Box(y=estimate_lines[(ids.values == j)[0]][0], name = str(j)) for j in range(lines[0],lines[1])] + return html.Div([ + dcc.Graph( + id='graph-3', + figure=go.Figure(data=items, + layout=go.Layout( + height=700, + xaxis=dict(tickangle=0, automargin= True) + ) + ) + ) + ]) + +@app.callback(Output('tabs6-content', 'children'), + [Input('tabs6', 'value')]) +def render_content1(tab): + global result3 + estimate_lines = pd.DataFrame([(betasSim[i] > 0).sum() for i in range(rango)]) + if tab == 'tab6-2': + items = [go.Box(y=result3.iloc[:, j], name = result3.iloc[:, j].name) for j in range(len(result3.columns))] + #items = [go.Violin(y=yy, box_visible=True, line_color='black', + # meanline_visible=True, fillcolor='blue', opacity=0.8, + # x0='Violin')] + return html.Div([ + dcc.Graph( + id='graph-abe', + figure=go.Figure(data=items, + layout=go.Layout( + height=700, + xaxis=dict(tickangle=-90, automargin= True) + ) + ) + ) + ]) \ No newline at end of file diff --git a/app/pages/validate.py b/app/pages/validate.py index 11cd6d3..2869983 100644 --- a/app/pages/validate.py +++ b/app/pages/validate.py @@ -237,7 +237,7 @@ def update_output(n_clicks, lines_slider, cpu, celllines): #if __name__ == 'app': if True: - rango = 1000 + rango = 10 lines = lines_slider @@ -273,13 +273,16 @@ def update_output(n_clicks, lines_slider, cpu, celllines): ids = pd.DataFrame(np.column_stack(vector)) #Celllines analysis - if celllines[0] == 'cellines': + if len(celllines) == 1: #Y3 = pd.read_excel(dataCelllines, sheet_name = 0) #result3, pValues3 = Mixture.Mixture(X, Y3 , cpu, 1, '') - cc = pd.read_excel('../data/outputCellines.xlsx', sheet_name = 0) + cc = pd.read_excel('./data/outputCellines(2).xlsx', sheet_name = 0) cc.index = cc.iloc[:,0].astype(int) cc.index.name = 'Subjects' - result3 = cc.iloc[:, 1:] + cc2 = pd.read_excel('./data/outputCellines(2).xlsx', sheet_name = 1) + cc2.index = cc2.iloc[:,0].astype(int) + cc2.index.name = 'Subjects' + result3 = [cc.iloc[:, 1:], cc2.iloc[:, 1:]] children_tabs = [ dcc.Tab(label='Similation Test', value='tab4-1', style={'padding': '0px'}, selected_style={'padding': '0px'}), dcc.Tab(label='False Discovery Test', value='tab4-2', style={'padding': '0px'}, selected_style={'padding': '0px'}) @@ -298,41 +301,224 @@ def update_output(n_clicks, lines_slider, cpu, celllines): }), html.Div(id='tabs4-content') ] + + children = [] + + + # Similation Test + children.append(html.H1('Similation Test')) + + # Bland Altman analysis + + # Proportions + children.append(blandAltmanGraph(result2.Subjects[0].MIXprop[0], 'pro')) + + # Absolute + children.append(blandAltmanGraph(result2.Subjects[0].MIXprop[0], 'per')) + # Correlation analysis + children.append(correlationAnalysisGraph(result2.Subjects[0].MIXprop[0])) + + # Self Test + children.append(selfTestGraph(result1.Subjects[0].MIXprop[0])) + + # Number of Cell Types + children.append(numberOfCellTypeGraph(estimate_lines, ids)) + + if len(celllines) == 1: + + # False Discovery Test + children.append(html.H1('False Discovery Test')) + + # Number of Cell Types + children.append(numberOfCellTypeFDTGraph(result3[1])) + + # Absolute Beta Estimation + children.append(absoluteBetaEstimation(result3[0])) + return children -@app.callback(Output('tabs4-content', 'children'), - [Input('tabs4', 'value')]) -def render_content2(tab): - if tab == 'tab4-1': - return html.Div([ - dcc.Tabs(id='tabs5', value='tab5-1', children=[ - dcc.Tab(label='Bland-Altman analysis', value='tab5-1', style={'padding': '0px'}, selected_style={'padding': '0px'}), - dcc.Tab(label='Correlation analysis', value='tab5-2', style={'padding': '0px'}, selected_style={'padding': '0px'}), - dcc.Tab(label='Self test', value='tab5-3', style={'padding': '0px'}, selected_style={'padding': '0px'}), - dcc.Tab(label='Number of Cell types', value='tab5-4', style={'padding': '0px'}, selected_style={'padding': '0px'}), - ], style={ - 'height': '35px' - }), - html.Div(id='tabs5-content') - ]) - elif tab == 'tab4-2': - return html.Div([ - dcc.Tabs(id='tabs6', value='tab6-2', children=[ - dcc.Tab(label='Number of Cell types', value='tab6-1', style={'padding': '0px'}, selected_style={'padding': '0px'}), - dcc.Tab(label='Absolute Beta Estimation', value='tab6-2', style={'padding': '0px'}, selected_style={'padding': '0px'}), - ], style={ - 'height': '35px' - }), - html.Div(id='tabs6-content') - ]) +def numberOfCellTypeGraph (data, ids): + items = [go.Box(y=data[(ids.values == j)[0]][0], name = str(j)) for j in range(lines[0],lines[1])] + return html.Div([ + html.Hr(), + dcc.Graph( + id='graph-3', + figure=go.Figure(data=items, + layout=go.Layout( + title=go.layout.Title( + text= "Number of Cell Types", + font=dict( + family='Courier New, monospace', + size=20, + color='#000000' + ), + y=0.9, + x=0.5, + xanchor= 'center', + yanchor= 'top' + ), + xaxis=go.layout.XAxis( + title=go.layout.xaxis.Title( + text='True number of coefficients', + font=dict( + family='Courier New, monospace', + size=14, + color='#7f7f7f' + ) + ), + tickangle=0, + automargin= True + ), + yaxis=go.layout.YAxis( + title=go.layout.yaxis.Title( + text='Estimated number of coefficients', + font=dict( + family='Courier New, monospace', + size=14, + color='#7f7f7f' + ) + ) + ), + height=700, + ) + ) + ) + ]) + +def selfTestGraph (data): + items = [data.iloc[j].values for j in range(len(data))] + return html.Div([ + html.Hr(), + dcc.Graph( + id='graph-3', + figure=go.Figure(data=go.Heatmap( + z=np.transpose(items), + x=data.index, + y=data.columns, + colorscale= [ + [0.0, 'rgb(255,255,255)'], + [1.0, 'rgb(255,0,0)'] + ] + ), + layout=go.Layout( + title=go.layout.Title( + text= "Self Test", + font=dict( + family='Courier New, monospace', + size=20, + color='#000000' + ), + y=0.9, + x=0.5, + xanchor= 'center', + yanchor= 'top' + ), + xaxis=go.layout.XAxis( + title=go.layout.xaxis.Title( + text='Estimated Immune Cell Types', + font=dict( + family='Courier New, monospace', + size=14, + color='#7f7f7f' + ) + ), + tickangle=-90, + automargin= True + ), + yaxis=go.layout.YAxis( + title=go.layout.yaxis.Title( + text='True Immune Cell Types present in the Signature Matrix', + font=dict( + family='Courier New, monospace', + size=14, + color='#7f7f7f' + ) + ) + ), + height=700 + ) + ) + ) + ]) + +def correlationAnalysisGraph (data): + betasSim = data.T.to_numpy(copy=True) + betasSim = betasSim.flatten() + betasHat = betas.to_numpy(copy=True) + betasHat = betasHat.flatten() + slope, intercept, r_value, p_value, std_err = stats.linregress(betasHat, betasSim) + return html.Div([ + html.Hr(), + dcc.Graph( + id='graph-3', + figure=go.Figure(data=[go.Scattergl( + x = betasHat, + y = betasSim, + mode='markers', + marker_color='rgba(0, 0, 0, .9)' + ), + go.Scatter(x=betasHat, y=intercept + slope*betasHat, + mode='lines', + name='lines') + ], + layout=go.Layout( + shapes=[ + go.layout.Shape( + type="line", + x0=0, + y0=0, + x1=1, + y1=1, + line=dict( + color="blue", + width=2, + ), + ) + ], + title=go.layout.Title( + text= "Correlation Analysis", + font=dict( + family='Courier New, monospace', + size=20, + color='#000000' + ), + y=0.9, + x=0.5, + xanchor= 'center', + yanchor= 'top' + ), + xaxis=go.layout.XAxis( + title=go.layout.xaxis.Title( + text='True Simulated Coefficient', + font=dict( + family='Courier New, monospace', + size=14, + color='#7f7f7f' + ) + ), + tickangle=-90, + automargin= True + ), + yaxis=go.layout.YAxis( + title=go.layout.yaxis.Title( + text='Estimated Coefficients', + font=dict( + family='Courier New, monospace', + size=14, + color='#7f7f7f' + ) + ) + ), + height=700 + ) + ) + ) + ]) -@app.callback(Output('graph1-div', 'children'), - [Input('drop_graph1', 'value')]) -def render_graph1 (value): - global result1, result2, betas, lines, estimate_lines, ids - count = len(result2.Subjects[0].MIXprop[0]) - betasSim = result2.Subjects[0].MIXprop[0].T.to_numpy(copy=True) +def blandAltmanGraph (data, value): + count = len(data) + betasSim = data.T.to_numpy(copy=True) betasSim = betasSim.flatten() betasHat = betas.to_numpy(copy=True) betasHat = betasHat.flatten() @@ -350,13 +536,13 @@ def render_graph1 (value): slope, intercept, r_value, p_value, std_err = stats.linregress(xx, yy) fig = make_subplots(rows=1, cols=2, column_widths=[0.7, 0.3], shared_yaxes=True) - fig.add_trace(go.Scatter( + fig.add_trace(go.Scattergl( x = xx, y = yy, mode='markers', marker_color='rgba(0, 0, 0, .9)' ),row=1, col=1) - fig.add_trace(go.Scatter(x=xx, y=intercept + slope*xx, + fig.add_trace(go.Scattergl(x=xx, y=intercept + slope*xx, mode='lines', name='lines'),row=1, col=1) fig.add_trace(go.Violin(y=yy, box_visible=True, line_color='black', @@ -365,6 +551,21 @@ def render_graph1 (value): fig['layout'].update( + title_text="Bland-Altman Analysis", + title_font_family='Courier New, monospace', + title_font_size=20, + title_font_color='#000000', + title_xanchor='center', + title_yanchor = 'top', + title_x = 0.5, + title_y = 0.9, + xaxis_title='Estimated Coefficients', + yaxis_title='Error', + font=dict( + family="Courier New, monospace", + size=14, + color="#7f7f7f" + ), height=700, shapes=[ go.layout.Shape( @@ -408,123 +609,68 @@ def render_graph1 (value): ) ]) - children = [ - dcc.Graph( - id='graph-3', - figure=fig + + return dcc.Graph( + id='graph-3', + figure=fig ) - ] - return children -@app.callback(Output('tabs5-content', 'children'), - [Input('tabs5', 'value')]) -def render_content1(tab): - global result1, result2, betas, lines, estimate_lines, ids - count = len(result2.Subjects[0].MIXprop[0]) - if tab == 'tab5-1': - betasSim = result2.Subjects[0].MIXprop[0].T.to_numpy(copy=True) - betasSim = betasSim.flatten() - betasHat = betas.to_numpy(copy=True) - betasHat = betasHat.flatten() - mean = np.mean(betasSim - betasHat) - std = np.std(betasSim - betasHat) - - return html.Div( - children = [ - dcc.RadioItems( - id='drop_graph1', - options=[ - {'label': 'Proportions', 'value': 'pro'}, - {'label': 'Percents', 'value': 'per'} - ], - value='pro' - ), - html.Div(id='graph1-div') - ]) - elif tab == 'tab5-2': - betasSim = result2.Subjects[0].MIXprop[0].T.to_numpy(copy=True) - betasSim = betasSim.flatten() - betasHat = betas.to_numpy(copy=True) - betasHat = betasHat.flatten() - slope, intercept, r_value, p_value, std_err = stats.linregress(betasHat, betasSim) - return html.Div([ - dcc.Graph( - id='graph-3', - figure=go.Figure(data=[go.Scatter( - x = betasHat, - y = betasSim, - mode='markers', - marker_color='rgba(0, 0, 0, .9)' - ), - go.Scatter(x=betasHat, y=intercept + slope*betasHat, - mode='lines', - name='lines') - ], +def numberOfCellTypeFDTGraph (data): + dfSum = data.sum(axis=1) + dfSum = dfSum.where(dfSum > 0).notna() + lines = data[dfSum] + items = [go.Violin(y=lines.iloc[:, j], name = lines.iloc[:, j].name) for j in range(len(lines.columns))] + return html.Div([ + dcc.Graph( + id='graph-abe', + figure=go.Figure(data=items, layout=go.Layout( - shapes=[ - go.layout.Shape( - type="line", - x0=0, - y0=0, - x1=1, - y1=1, - line=dict( - color="blue", - width=2, - ), - ) - ], - height=700, - xaxis=dict(tickangle=-90, automargin= True) - ) + height=700, + xaxis=dict(tickangle=-90, automargin= True) ) ) - ]) - elif tab == 'tab5-3': - items = [result1.Subjects[0].MIXprop[0].iloc[j].values for j in range(len(result1.Subjects[0].MIXprop[0]))] - return html.Div([ - dcc.Graph( - id='graph-3', - figure=go.Figure(data=go.Heatmap( - z=np.transpose(items), - x=result1.Subjects[0].MIXprop[0].index, - y=result1.Subjects[0].MIXprop[0].columns, - colorscale= [ - [0.0, 'rgb(255,255,255)'], - [1.0, 'rgb(255,0,0)'] - ] - ), - layout=go.Layout( - height=700, - xaxis=dict(tickangle=-90, automargin= True) - ) + ) + ]) + +def absoluteBetaEstimation (data): + items = go.Box(y=data.values.flatten(), name = 1) + + return html.Div([ + dcc.Graph( + id='graph-abe', + figure=go.Figure(data=items, + layout=go.Layout( + height=700, + xaxis=dict(tickangle=-90, automargin= True) ) ) - ]) - elif tab == 'tab5-4': - items = [go.Box(y=estimate_lines[(ids.values == j)[0]][0], name = str(j)) for j in range(lines[0],lines[1])] + ) + ]) + +@app.callback(Output('tabs6-content', 'children'), + [Input('tabs6', 'value')]) +def render_content1(tab): + global result3 + dfSum = result3[1].sum(axis=1) + dfSum = dfSum.where(dfSum > 0).notna() + lines = result3[1][dfSum] + + if tab == 'tab6-2': + items = go.Box(y=result3[0].values.flatten(), name = 1) + return html.Div([ dcc.Graph( - id='graph-3', + id='graph-abe', figure=go.Figure(data=items, layout=go.Layout( height=700, - xaxis=dict(tickangle=0, automargin= True) + xaxis=dict(tickangle=-90, automargin= True) ) ) ) ]) - -@app.callback(Output('tabs6-content', 'children'), - [Input('tabs6', 'value')]) -def render_content1(tab): - global result3 - estimate_lines = pd.DataFrame([(betasSim[i] > 0).sum() for i in range(rango)]) - if tab == 'tab6-2': - items = [go.Box(y=result3.iloc[:, j], name = result3.iloc[:, j].name) for j in range(len(result3.columns))] - #items = [go.Violin(y=yy, box_visible=True, line_color='black', - # meanline_visible=True, fillcolor='blue', opacity=0.8, - # x0='Violin')] + elif tab == 'tab6-1': + items = [go.Violin(y=lines.iloc[:, j], name = lines.iloc[:, j].name) for j in range(len(lines.columns))] return html.Div([ dcc.Graph( id='graph-abe', diff --git a/cellines.ipynb b/cellines.ipynb index 4a42fce..60fd134 100644 --- a/cellines.ipynb +++ b/cellines.ipynb @@ -15684,7 +15684,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.0" + "version": "3.7.3" } }, "nbformat": 4, diff --git a/celllines xlsx.ipynb b/celllines xlsx.ipynb index 22f71a1..bdc4419 100644 --- a/celllines xlsx.ipynb +++ b/celllines xlsx.ipynb @@ -3711,45 +3711,19 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 1, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "array([[0.90256962, 0.09743038, 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ],\n", - " [0.7136939 , 0.1289198 , 0. , 0. , 0. ,\n", - " 0. , 0.11802777, 0.03935852, 0. , 0. ],\n", - " [0.79589517, 0.09674959, 0. , 0. , 0. ,\n", - " 0. , 0. , 0.03918719, 0.06816806, 0. ],\n", - " [0.46974898, 0.30925149, 0. , 0. , 0. ,\n", - " 0. , 0.18748422, 0.03351531, 0. , 0. ],\n", - " [0.60193307, 0.11220227, 0.16187135, 0. , 0. ,\n", - " 0. , 0.10233414, 0.02165916, 0. , 0. ],\n", - " [0.49398868, 0.12679016, 0.06592614, 0. , 0. ,\n", - " 0. , 0.26288403, 0.05041099, 0. , 0. ],\n", - " [0.70989344, 0.14510445, 0. , 0. , 0. ,\n", - " 0. , 0.05838125, 0.05919139, 0.02742947, 0. ],\n", - " [0.88472318, 0.0553045 , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0.05997232, 0. ],\n", - " [0.89564802, 0. , 0. , 0. , 0. ,\n", - " 0. , 0.10435198, 0. , 0. , 0. ],\n", - " [0.67255126, 0.15353534, 0. , 0. , 0. ,\n", - " 0. , 0.13137347, 0.02168938, 0.02085054, 0. 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\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSubjects\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMIXprop\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_numpy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcopy\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0moo\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'result' is not defined" + ] } ], "source": [ @@ -4461,7 +4435,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.0" + "version": "3.7.3" } }, "nbformat": 4, diff --git a/read celllines.ipynb b/read celllines.ipynb new file mode 100644 index 0000000..d8ebee5 --- /dev/null +++ b/read celllines.ipynb @@ -0,0 +1,988 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "X = pd.read_excel('app/data/outputCellines(2).xlsx', sheet_name = 1) \n", + "X.index = X.iloc[:,0].astype(int)\n", + "X.index.name = 'Subjects'\n", + "result3 = X.iloc[:, 1:]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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B cells naiveB cells memoryPlasma cellsT cells CD8T cells CD4 naiveT cells CD4 memory restingT cells CD4 memory activatedT cells follicular helperT cells regulatory (Tregs)T cells gamma delta...MonocytesMacrophages M0Macrophages M1Macrophages M2Dendritic cells restingDendritic cells activatedMast cells restingMast cells activatedEosinophilsNeutrophils
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| 91 ++ Test Beta List.ipynb | 1290 ++++++++++++++++- 4 files changed, 1787 insertions(+), 46 deletions(-) create mode 100644 .ipynb_checkpoints/Generate betas til9-checkpoint.ipynb create mode 100644 Generate betas til9.ipynb create mode 100644 Generate betas til9.py diff --git a/.ipynb_checkpoints/Generate betas til9-checkpoint.ipynb b/.ipynb_checkpoints/Generate betas til9-checkpoint.ipynb new file mode 100644 index 0000000..7fec515 --- /dev/null +++ b/.ipynb_checkpoints/Generate betas til9-checkpoint.ipynb @@ -0,0 +1,6 @@ +{ + "cells": [], + "metadata": {}, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/Generate betas til9.ipynb b/Generate betas til9.ipynb new file mode 100644 index 0000000..5d42dd8 --- /dev/null +++ b/Generate betas til9.ipynb @@ -0,0 +1,446 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import os\n", + "import sys\n", + "import Mixture\n", + "import multiprocessing\n", + "from joblib import Parallel, delayed\n", + "from random import seed\n", + "from random import sample \n", + "from random import randint" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "lines = [2, 6]\n", + "cpu = multiprocessing.cpu_count()\n", + "rango = 1000" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "dataFrameSignature = pd.read_excel('data/Pre.proccessor.xlsx', sheet_name = 0) " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def createBetas (X, a, b, n):\n", + "\n", + " ns = randint(a, b)\n", + " r = np.random.uniform(1, 0.2, ns)\n", + " rn = r/r.sum()\n", + " id = sample(range(n-1), ns)\n", + " betas = np.repeat(.0, n, axis=0)\n", + " for index, i in enumerate(id, start = 0):\n", + " betas[i] = rn[index]\n", + "\n", + " vector = X.to_numpy(copy=True) \n", + " vector = vector.flatten()\n", + " \n", + " A = np.dot(X, betas) + vector[sample(range(len(vector)), len(X.index))]\n", + "\n", + " return betas, id, A" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "X = dataFrameSignature.iloc[:, 1:]\n", + "\n", + "subjects = Parallel(n_jobs=cpu, backend='threading')(delayed(createBetas)(X = X, a = lines[0], b = lines[1], n = len(X.columns)) for i in range(rango))\n", + "\n", + "# Getting expression matrix\n", + "vector = [x[2] for x in subjects]\n", + "columns = ['V' + str(x+1) for x in range(len(subjects))]\n", + "Y2 = pd.DataFrame(np.column_stack(vector), columns=columns)\n", + "Y2.insert(0, 'Gene symbol', dataFrameSignature['Gene symbol'])\n", + "\n", + "# Getting Real Betas Matrix\n", + "vector = [x[0] for x in subjects]\n", + "columns = ['V' + str(x+1) for x in range(len(subjects))]\n", + "betas = pd.DataFrame(np.column_stack(vector), columns=columns)\n", + "\n", + "X = dataFrameSignature\n", + "\n", + "vector = [len(x[1]) for x in subjects]\n", + "ids = pd.DataFrame(np.column_stack(vector)) " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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"execution_count": 3, + "execution_count": 2, "metadata": {}, - "outputs": [ - { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'rpy2'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 8\u001b[0m \u001b[1;31m#Library to read RDS format\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 9\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 10\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrobjects\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mrobjects\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 11\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrobjects\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mpandas2ri\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'rpy2'" - ] - } - ], + "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", @@ -34,14 +22,14 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Num cores: 4\n" + "Num cores: 8\n" ] } ], @@ -58,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -68,28 +56,207 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# Read RDS file\n", + "readRDS = robjects.r['readRDS']\n", + "df = readRDS('data/betas.list.rds')" + ] + }, + { + "cell_type": "code", + "execution_count": 21, "metadata": {}, "outputs": [ { - "ename": "NameError", - "evalue": "name 'robjects' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - 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za~wN~!1gJsx`~=Cq`AHLJ$wFOj~r`Nsghg?od*1YePg{F$Z*x0#lfCXG)DExO2T=D zR2qMfMqsD3wb?1{?Y1!BNA_Hhq}dYu#PlM=&jfaAlOA^3)&-|&yK!4dkLbo_rI$*b zf!0Nlq^vVD_=w;PQOBA*L_5(ad$@*Mq@Hr%4m5r?#Z3~IK5=I}@WsaG$(>zO;2yHW zuQ<6puq1g(Ph7c*e|KFijf1P$qy(iqWdH4F3*eKC279WP(wsDKyP@c@HU1g|jTZw#;-w=7sE chH!8}S#BR2dKr2cx*7H`Bp5Oi84JtApH2mp1^@s6 diff --git a/app/pages/validate.py b/app/pages/validate.py index 2869983..cf1e1d1 100644 --- a/app/pages/validate.py +++ b/app/pages/validate.py @@ -237,7 +237,7 @@ def update_output(n_clicks, lines_slider, cpu, celllines): #if __name__ == 'app': if True: - rango = 10 + rango = 1000 lines = lines_slider From e321c1940eb39dc0fffe72f0612d8dd116469e96 Mon Sep 17 00:00:00 2001 From: MsMatias Date: Mon, 20 Jan 2020 17:05:04 -0300 Subject: [PATCH 44/52] jp beta til9 --- Test Beta List.ipynb | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/Test Beta List.ipynb b/Test Beta List.ipynb index a09163f..e3438f3 100644 --- a/Test Beta List.ipynb +++ b/Test Beta List.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -22,7 +22,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -46,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -56,7 +56,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -67,7 +67,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -226,23 +226,23 @@ ], "text/plain": [ "R object with classes: ('list',) mapped to:\n", - "\n", + "\n", "[FloatVector, IntVector, Matrix]\n", " beta: \n", " R object with classes: ('numeric',) mapped to:\n", - "\n", + "\n", "[0.000000, 0.258236, 0.000000, 0.000000, ..., 0.000000, 0.000000, 0.000000, 0.000000]\n", " id: \n", " R object with classes: ('integer',) mapped to:\n", - "\n", + "\n", "[2, 12, 18, 11]\n", " A: \n", " R object with classes: ('matrix',) mapped to:\n", - "\n", + "\n", "[8.945509, 21.455863, 305.800368, 65.863909, ..., 55.477425, 264.231769, 33.113837, 46.008688]" ] }, - "execution_count": 21, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -253,7 +253,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -663,7 +663,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 7, "metadata": { "scrolled": true }, @@ -677,7 +677,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -1334,7 +1334,7 @@ "[22 rows x 1000 columns]" ] }, - "execution_count": 17, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } From 304c1e6b8affc1e92584a8e111421e8501d1ca5b Mon Sep 17 00:00:00 2001 From: MsMatias Date: Tue, 21 Jan 2020 09:44:16 -0300 Subject: [PATCH 45/52] csv --- ...enerate betas til9 by CSV-checkpoint.ipynb | 446 + Generate betas til9 by CSV.ipynb | 836 ++ data/yourCSV.csv | 12366 ++++++++++++++++ 3 files changed, 13648 insertions(+) create mode 100644 .ipynb_checkpoints/Generate betas til9 by CSV-checkpoint.ipynb create mode 100644 Generate betas til9 by CSV.ipynb create mode 100644 data/yourCSV.csv diff --git a/.ipynb_checkpoints/Generate betas til9 by CSV-checkpoint.ipynb b/.ipynb_checkpoints/Generate betas til9 by CSV-checkpoint.ipynb new file mode 100644 index 0000000..5d42dd8 --- /dev/null +++ b/.ipynb_checkpoints/Generate betas til9 by CSV-checkpoint.ipynb @@ -0,0 +1,446 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import os\n", + "import sys\n", + "import Mixture\n", + "import multiprocessing\n", + "from joblib import Parallel, delayed\n", + "from random import seed\n", + "from random import sample \n", + "from random import randint" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "lines = [2, 6]\n", + "cpu = multiprocessing.cpu_count()\n", + "rango = 1000" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "dataFrameSignature = pd.read_excel('data/Pre.proccessor.xlsx', sheet_name = 0) " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def createBetas (X, a, b, n):\n", + "\n", + " ns = randint(a, b)\n", + " r = np.random.uniform(1, 0.2, ns)\n", + " rn = r/r.sum()\n", + " id = sample(range(n-1), ns)\n", + " betas = np.repeat(.0, n, axis=0)\n", + " for index, i in enumerate(id, start = 0):\n", + " betas[i] = rn[index]\n", + "\n", + " vector = X.to_numpy(copy=True) \n", + " vector = vector.flatten()\n", + " \n", + " A = np.dot(X, betas) + vector[sample(range(len(vector)), len(X.index))]\n", + "\n", + " return betas, id, A" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "X = dataFrameSignature.iloc[:, 1:]\n", + "\n", + "subjects = Parallel(n_jobs=cpu, backend='threading')(delayed(createBetas)(X = X, a = lines[0], b = lines[1], n = len(X.columns)) for i in range(rango))\n", + "\n", + "# Getting expression matrix\n", + "vector = [x[2] for x in subjects]\n", + "columns = ['V' + str(x+1) for x in range(len(subjects))]\n", + "Y2 = pd.DataFrame(np.column_stack(vector), columns=columns)\n", + "Y2.insert(0, 'Gene symbol', dataFrameSignature['Gene symbol'])\n", + "\n", + "# Getting Real Betas Matrix\n", + "vector = [x[0] for x in subjects]\n", + "columns = ['V' + str(x+1) for x in range(len(subjects))]\n", + "betas = pd.DataFrame(np.column_stack(vector), columns=columns)\n", + "\n", + "X = dataFrameSignature\n", + "\n", + "vector = [len(x[1]) for x in subjects]\n", + "ids = pd.DataFrame(np.column_stack(vector)) " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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{ + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.8" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/Generate betas til9 by CSV.ipynb b/Generate betas til9 by CSV.ipynb new file mode 100644 index 0000000..f76ef8e --- /dev/null +++ b/Generate betas til9 by CSV.ipynb @@ -0,0 +1,836 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import os\n", + "import sys\n", + "import Mixture\n", + "import multiprocessing\n", + "from joblib import Parallel, delayed\n", + "from random import seed\n", + "from random import sample \n", + "from random import randint\n", + "\n", + "#Library to read RDS format\n", + "import rpy2\n", + "import rpy2.robjects as robjects\n", + "from rpy2.robjects import pandas2ri\n", + "from rpy2.robjects.conversion import localconverter" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "lines = [2, 6]\n", + "cpu = multiprocessing.cpu_count()\n", + "rango = 1000" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "dataFrameSignature = pd.read_csv('data/yourCSV.csv') " + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "def createBetas (X, a, b, n):\n", + "\n", + " ns = randint(a, b)\n", + " r = np.random.uniform(1, 0.2, ns)\n", + " rn = r/r.sum()\n", + " id = sample(range(n-1), ns)\n", + " betas = np.repeat(.0, n, axis=0)\n", + " for index, i in enumerate(id, start = 0):\n", + " betas[i] = rn[index]\n", + "\n", + " vector = X.to_numpy(copy=True) \n", + " vector = vector.flatten()\n", + " \n", + " A = np.dot(X, betas) + vector[sample(range(len(vector)), len(X.index))]\n", + "\n", + " return betas, id, A" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "X = dataFrameSignature.iloc[:, 1:]\n", + "\n", + "subjects = Parallel(n_jobs=cpu, backend='threading')(delayed(createBetas)(X = X, a = lines[0], b = lines[1], n = len(X.columns)) for i in range(rango))\n", + "\n", + "# Getting expression matrix\n", + "vector = [x[2] for x in subjects]\n", + "columns = ['V' + str(x+1) for x in range(len(subjects))]\n", + "Y2 = pd.DataFrame(np.column_stack(vector), columns=columns)\n", + "Y2.insert(0, 'Gene symbol', dataFrameSignature['Gene symbol'])\n", + "\n", + "# Getting Real Betas Matrix\n", + "vector = [x[0] for x in subjects]\n", + "columns = ['V' + str(x+1) for x in range(len(subjects))]\n", + "betas = pd.DataFrame(np.column_stack(vector), columns=columns)\n", + "\n", + "X = dataFrameSignature\n", + "\n", + "vector = [len(x[1]) for x in subjects]\n", + "ids = pd.DataFrame(np.column_stack(vector)) " + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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    3GRN199.6995012899.9131942775.9664063179.8170751603.2520065487.3128743288.0449273441.0532051972.853978...958.6274241378.1941114269.2175601839.5598263513.0769963145.7660792488.6493602433.4238851546.4770143929.304613
    4CTSB2060.3055992641.8216243824.1509663378.4271342719.1626961295.7940712070.9425993123.0982271164.683130...910.9044061390.5832512874.6237392222.4959517747.8858043693.7475311756.1219103344.505323963.2711794113.015548
    ..................................................................
    12360OR2L230.59833729.551740102.42803669.746195554.36324726.172729241.50194128.24425829.620185...545.31120957.1325871263.869664206.05993772.8825101236.484502213.95695425.27376749.82817936.304298
    12361GCSAML1614.770854283.85183932.876204156.1514443359.29550354.61424633.28620259.32805022.607001...22.1348631047.459657685.84600878.91088174.94970253.160030218.97535988.971986282.28400187.941525
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    12365 rows Ă— 1001 columns

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    " + ], + "text/plain": [ + " Gene symbol V1 V2 V3 V4 \\\n", + "0 ARID5B 33.237687 70.004221 1056.257283 75.998576 \n", + "1 ZNF460 26.172333 43.537807 223.402609 30.690271 \n", + "2 RBM47 109.314441 736.350077 136.280086 269.460696 \n", + "3 GRN 199.699501 2899.913194 2775.966406 3179.817075 \n", + "4 CTSB 2060.305599 2641.821624 3824.150966 3378.427134 \n", + "... ... ... ... ... ... \n", + "12360 OR2L2 30.598337 29.551740 102.428036 69.746195 \n", + "12361 GCSAML 1614.770854 283.851839 32.876204 156.151444 \n", + "12362 TMEM231 49.544998 74.324778 172.082769 43.096872 \n", + "12363 ZNF155 76.838942 1313.958559 101.254863 72.206799 \n", + "12364 FAM86B3P 212.368971 615.748232 31.414682 106.340368 \n", + "\n", + " V5 V6 V7 V8 V9 ... \\\n", + "0 606.757172 1079.703404 1099.903693 520.480681 539.262485 ... \n", + "1 151.602554 646.409374 467.474151 790.127014 3380.805424 ... \n", + "2 101.129499 84.368798 92.458961 488.437630 302.876185 ... \n", + "3 1603.252006 5487.312874 3288.044927 3441.053205 1972.853978 ... \n", + "4 2719.162696 1295.794071 2070.942599 3123.098227 1164.683130 ... \n", + "... ... ... ... ... ... ... \n", + "12360 554.363247 26.172729 241.501941 28.244258 29.620185 ... \n", + "12361 3359.295503 54.614246 33.286202 59.328050 22.607001 ... \n", + "12362 31.021561 93.263458 2533.191697 96.542658 18.758440 ... \n", + "12363 114.216649 63.563951 165.527547 235.735576 287.283313 ... \n", + "12364 141.562859 249.329643 41.782560 47.105654 53.570292 ... \n", + "\n", + " V991 V992 V993 V994 V995 \\\n", + "0 995.897857 810.997562 82.125528 498.925694 693.335024 \n", + "1 274.335580 489.639168 41.772076 298.386691 483.863220 \n", + "2 71.700676 1202.688853 142.731337 160.251038 143.508774 \n", + "3 958.627424 1378.194111 4269.217560 1839.559826 3513.076996 \n", + "4 910.904406 1390.583251 2874.623739 2222.495951 7747.885804 \n", + "... ... ... ... ... ... \n", + "12360 545.311209 57.132587 1263.869664 206.059937 72.882510 \n", + "12361 22.134863 1047.459657 685.846008 78.910881 74.949702 \n", + "12362 91.690576 24.249163 21.062645 40.048350 1135.347276 \n", + "12363 133.912598 93.175893 154.573671 139.223580 89.126343 \n", + "12364 496.116012 801.764777 98.929708 1985.934984 36.619628 \n", + "\n", + " V996 V997 V998 V999 V1000 \n", + "0 1559.405389 42.868952 558.271228 26.015060 439.750067 \n", + "1 230.133870 179.894142 328.406265 232.817597 2019.223556 \n", + "2 452.588464 104.504425 2417.902865 170.170553 6484.288262 \n", + "3 3145.766079 2488.649360 2433.423885 1546.477014 3929.304613 \n", + "4 3693.747531 1756.121910 3344.505323 963.271179 4113.015548 \n", + "... ... ... ... ... ... \n", + "12360 1236.484502 213.956954 25.273767 49.828179 36.304298 \n", + "12361 53.160030 218.975359 88.971986 282.284001 87.941525 \n", + "12362 75.620229 189.995349 65.939426 154.982048 265.342772 \n", + "12363 63.836629 82.270422 53.104712 54.417702 46.981812 \n", + "12364 331.840528 29.506705 273.597795 58.283301 93.480752 \n", + "\n", + "[12365 rows x 1001 columns]" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Y2" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Generate xlsx\n", + "with pd.ExcelWriter('betas.list.TIL9.xlsx') as writer:\n", + " betas.to_excel(writer, sheet_name='beta')\n", + " ids.to_excel(writer, sheet_name='id')\n", + " Y2.to_excel(writer, sheet_name='A')\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.8" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/data/yourCSV.csv b/data/yourCSV.csv new file mode 100644 index 0000000..5438452 --- /dev/null +++ b/data/yourCSV.csv @@ -0,0 +1,12366 @@ +"Gene symbol","CD4_Tcell","NK_cell","M2","M1","DC_cell","T_helper","Treg","CD8_Tcell","memory_CD8_Tcell" +"ARID5B",16.5599452736811,15.0336873400413,18.2379541682376,19.7797734911462,16.8504007727186,14.3288507766564,2329.72265149296,14.830404060097,351.856901299685 +"ZNF460",10.7553084865839,14.2855631040132,12.8030710204469,12.0615507422784,14.1345005444139,11.5714600059941,969.054167225018,10.6797650231753,405.502781428884 +"RBM47",67.2410803890569,45.188068899119,154.22640724162,176.827396044539,74.1022015494495,66.5642663965831,53.0893289214821,59.2968268988626,27.8402160124627 +"GRN",64.0267999070568,140.379260621526,7737.62985022079,5052.40999172267,4855.42713269235,238.532328664153,35.8252036384856,153.109288761079,53.7418656389526 +"CTSB",89.8872757335343,70.6254133009647,9184.51611623441,3922.87731066543,5024.2916609331,78.1907477747128,20.4655707990377,45.0018997244301,39.4236787484976 +"TFEC",10.1799671440838,13.3293590116565,1584.71753777427,1749.29816514308,1470.38832364037,9.47635338846076,8.06130551649217,9.58150976293729,6.06329913473537 +"FCER1G",11.7146341972377,2203.907563213,3958.07710054181,6360.6588711503,3207.78892694545,15.2533053547301,17.1322650849011,22.5900255914806,10.6316602355933 +"CD8B",70.8386591705785,63.1142119381121,43.7720789156737,53.5002786303231,43.6017156955868,241.142979720571,33.5523753282314,2668.95450838346,956.562550116202 +"RAB7A",28.8668343589488,44.958063814851,36.8864744491345,36.5351063050279,41.9240009608276,16.4570631836227,74.4503125351238,30.5909286839857,139.053813462801 +"TRBC1",8584.78923651556,4603.45714258195,36.3122142369884,226.122540384781,53.512183779824,2723.61675861385,6750.44315319272,7790.65547110272,7596.16222009279 +"OSGIN2",13.5571310160924,12.7934237332734,11.2650280438619,16.5524343127873,13.9903097550404,9.81728433311434,729.190016988431,9.63045525915327,186.304795549673 +"AKT2",162.22372309347,80.7381989804696,46.2048374989382,36.4578606172781,30.8277886473181,85.8964736618629,50.6289970525741,113.12217860702,64.360806528752 +"LINC01578",12.7251697813852,61.4327686931309,14.4369592007948,14.9129162299487,12.8041226815277,13.4409574009618,52.2527296667182,194.659237665083,143.641418999264 +"PSAP",765.714623651221,2963.11930538471,20124.7884866386,14652.5485790075,20182.7829909434,1123.31357536451,3514.09505277092,1907.75871266205,4197.3309337256 +"SLC7A1",26.5845289778248,22.1550549506888,22.1331210711899,29.1464950397269,22.7346596308374,28.1103205468375,2924.85927900003,27.8413063350614,196.857927363563 +"LRIG1",13.3712644978673,11.9896363762488,13.4717839334896,14.5487721875301,13.5730025824983,14.8359869621236,1985.75992679962,14.9190524100271,201.719116303581 +"HBG2",30.1647558438447,28.9052070218769,26.6603534132212,32.311996729124,23.5812697790561,10543.7321086687,27.4636695782037,42.0933375693168,29.1814365259016 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+"PRDM2",23.6040579453728,16.2651982296303,14.307354200259,16.0828256945849,11.9604602352213,18.1453125235687,232.249712422166,15.9932806562568,291.498368795003 +"MGLL",80.8906472672368,71.3524963582167,1233.56327114755,956.635818691216,2361.82850908392,59.661899275022,56.7062363010767,59.1734046311458,37.1664889301287 +"ZFAND5",1919.54810488976,2761.74710160799,3168.30607779571,2476.20321160551,3474.62242880797,642.667630867239,859.145995191673,1656.92432729725,666.23576827595 +"SIRPA",23.6894697260239,18.3805304838441,158.745292499413,294.404517740395,47.1972370220952,30.9530785521765,33.645403080725,26.3911076945489,18.4166403868112 +"IL23A",133.363771601008,78.4836373407322,100.993035665039,137.143506067904,63.1658112487188,201.452095190083,641.841160208516,209.585049879562,284.633369800485 +"DNAJC21",40.9304039507819,31.3851674266648,31.3503577258566,35.6435468529304,42.2627283189109,29.025640543395,68.2955891316349,23.328408779963,55.3820288172436 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+"EXOSC3",151.972765884672,111.173682697494,172.172509718983,70.840647813975,242.717277801542,314.77256643057,1456.16638969368,31.3762710807808,212.321182418648 +"IL13RA1",17.6348328955249,20.4984156344392,1424.88917658153,646.249074900799,1556.43218127019,26.8047541904629,20.0092335358257,44.7960928600631,16.1734886597703 +"GM2A",73.0197588943743,82.4913533205811,825.568434307636,5672.59637679643,760.611794391293,72.5552447484102,36.2106708560218,53.6633420290467,80.8573490629249 +"HNRNPU",61.8088706605169,58.6264583331156,23.8935779235029,12.8053563856324,24.5074759142243,60.065929722432,128.184232348285,140.041052549477,316.484163401273 +"RPAIN",87.5868269597434,75.269318289656,56.3540737782178,16.3299050807694,22.6028298076362,39.9790420907666,29.1579927063014,79.9814759906122,228.693016303316 +"SYK",20.6479121033815,607.610293307637,1467.82371887633,762.76561547839,1049.16982146524,45.0450914672169,41.6889462142892,80.7883298112374,25.3013945541326 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fce065ddcfc8fcd3d6cb51bbf0eaffcdaf1b4e6d Mon Sep 17 00:00:00 2001 From: MsMatias Date: Fri, 31 Jan 2020 18:31:45 -0300 Subject: [PATCH 46/52] Score --- Score.py | 54 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 54 insertions(+) create mode 100644 Score.py diff --git a/Score.py b/Score.py new file mode 100644 index 0000000..f023c09 --- /dev/null +++ b/Score.py @@ -0,0 +1,54 @@ +#!/usr/bin/env python +# coding: utf-8 + +import numpy as np +import pandas as pd +import os + +from sklearn.preprocessing import StandardScaler +from sklearn.preprocessing import scale +from joblib import Parallel, delayed + +# Function Score +# Main Function +# @method Score +# @param [DataFrame] Signature +# @param [DataFrame] Expression +# @param [int] num Cores +# @return ------- +def Score(X, Y, cores): + + print('Normalizing data') + + # Intersection between X and Y + X = X.loc[X['Gene symbol'].isin(Y['Gene symbol'])] + Y = Y.loc[Y['Gene symbol'].isin(X['Gene symbol'])] + + # Ordering by GeneSymbol + X = X.sort_values(by=['Gene symbol']) + Y = Y.sort_values(by=['Gene symbol']) + + # Slice Gene symbol column + X = X.iloc[:, 1:] + Y = Y.iloc[:, 1:] + X.reset_index(drop=True, inplace=True) + + out = list() + print('Processing...') + + out = Parallel(n_jobs=cores, backend='threading')(delayed(linearDeconv)(X = X, Y = j) for i, j in Yn.iteritems()) + + #out = [x.recv() for x in pipe_list] + + print('_____________________________________________________________________') + + print('Finish Svm') + + return pd.DataFrame(out) + +def linearDeconv (X, Y): + svr = LinearSVR(random_state=0) + model = svr.fit(X, Y) + score = model.coef_ + score[np.where(score<0)] = 0 + return (score/sum(score)) From bf118e2eb78a54b36c87072d65ef0085e1dc91ed Mon Sep 17 00:00:00 2001 From: MsMatias Date: Wed, 19 Feb 2020 09:30:25 -0300 Subject: [PATCH 47/52] Clear branch --- .gitignore | 12 - .~prueba_dash.py | 31 - Generate betas til9 by CSV.ipynb | 836 - Generate betas til9.ipynb | 446 - Generate betas til9.py | 91 - Mixture/.pypirc | 8 - Mixture/LICENSE | 21 - Mixture/MANIFEST.in | 1 - Mixture/Mixture.egg-info/PKG-INFO | 28 - Mixture/Mixture.egg-info/SOURCES.txt | 14 - Mixture/Mixture.egg-info/dependency_links.txt | 1 - Mixture/Mixture.egg-info/not-zip-safe | 1 - Mixture/Mixture.egg-info/requires.txt | 6 - Mixture/Mixture.egg-info/top_level.txt | 1 - Mixture/Mixture/Mixer.py | 72 - Mixture/Mixture/Utils.py | 47 - Mixture/Mixture/__init__.py | 89 - .../Mixture/__pycache__/Mixer.cpython-37.pyc | Bin 1907 -> 0 bytes .../Mixture/__pycache__/Utils.cpython-37.pyc | Bin 2122 -> 0 bytes .../__pycache__/__init__.cpython-37.pyc | Bin 2180 -> 0 bytes .../__pycache__/nuSvmRobust.cpython-37.pyc | Bin 3025 -> 0 bytes .../tuneSvmForDeconv.cpython-37.pyc | Bin 1359 -> 0 bytes Mixture/Mixture/nuSvmRobust.py | 118 - Mixture/Mixture/tuneSvmForDeconv.py | 58 - Mixture/README.md | 15 - Mixture/build/lib/Mixture/Mixer.py | 72 - Mixture/build/lib/Mixture/Utils.py | 32 - Mixture/build/lib/Mixture/__init__.py | 76 - Mixture/build/lib/Mixture/nuSvmRobust.py | 118 - Mixture/build/lib/Mixture/tuneSvmForDeconv.py | 58 - Mixture/setup.py | 33 - MixturePy.py | 445 - MixturePy.spec | 33 - NewmanFL TIL10.ipynb | 943 - PRUEBA.py | 75 - README.md | 61 - Score.py | 54 - Test Beta List.ipynb | 1434 - Test Beta Noise List.ipynb | 180798 --------------- Test Dash.ipynb | 3625 - Test read rds.ipynb | 2070 - Untitled.ipynb | 572 - betas.list.rds | Bin 4317758 -> 0 bytes biconductor.py | 10 - cellines.ipynb | 15692 -- celllines xlsx.ipynb | 4443 - data/TIL10_signature.xlsx | Bin 0 -> 28578 bytes data/TIL9_signature.xlsx | Bin 0 -> 1619908 bytes hook-scipy.py | 2 - hook-sklearn.py | 2 - pyread.py | 7 - read celllines.ipynb | 988 - requirements.txt | 7 - 53 files changed, 213546 deletions(-) delete mode 100644 .gitignore delete mode 100644 .~prueba_dash.py delete mode 100644 Generate betas til9 by CSV.ipynb delete mode 100644 Generate betas til9.ipynb delete mode 100644 Generate betas til9.py delete mode 100644 Mixture/.pypirc delete mode 100644 Mixture/LICENSE delete mode 100644 Mixture/MANIFEST.in delete mode 100644 Mixture/Mixture.egg-info/PKG-INFO delete mode 100644 Mixture/Mixture.egg-info/SOURCES.txt delete mode 100644 Mixture/Mixture.egg-info/dependency_links.txt delete mode 100644 Mixture/Mixture.egg-info/not-zip-safe delete mode 100644 Mixture/Mixture.egg-info/requires.txt delete mode 100644 Mixture/Mixture.egg-info/top_level.txt delete mode 100644 Mixture/Mixture/Mixer.py delete mode 100644 Mixture/Mixture/Utils.py delete mode 100644 Mixture/Mixture/__init__.py delete mode 100644 Mixture/Mixture/__pycache__/Mixer.cpython-37.pyc delete mode 100644 Mixture/Mixture/__pycache__/Utils.cpython-37.pyc delete mode 100644 Mixture/Mixture/__pycache__/__init__.cpython-37.pyc delete mode 100644 Mixture/Mixture/__pycache__/nuSvmRobust.cpython-37.pyc delete mode 100644 Mixture/Mixture/__pycache__/tuneSvmForDeconv.cpython-37.pyc delete mode 100644 Mixture/Mixture/nuSvmRobust.py delete mode 100644 Mixture/Mixture/tuneSvmForDeconv.py delete mode 100644 Mixture/README.md delete mode 100644 Mixture/build/lib/Mixture/Mixer.py delete mode 100644 Mixture/build/lib/Mixture/Utils.py delete mode 100644 Mixture/build/lib/Mixture/__init__.py delete mode 100644 Mixture/build/lib/Mixture/nuSvmRobust.py delete mode 100644 Mixture/build/lib/Mixture/tuneSvmForDeconv.py delete mode 100644 Mixture/setup.py delete mode 100644 MixturePy.py delete mode 100644 MixturePy.spec delete mode 100644 NewmanFL TIL10.ipynb delete mode 100644 PRUEBA.py delete mode 100644 README.md delete mode 100644 Score.py delete mode 100644 Test Beta List.ipynb delete mode 100644 Test Beta Noise List.ipynb delete mode 100644 Test Dash.ipynb delete mode 100644 Test read rds.ipynb delete mode 100644 Untitled.ipynb delete mode 100644 betas.list.rds delete mode 100644 biconductor.py delete mode 100644 cellines.ipynb delete mode 100644 celllines xlsx.ipynb create mode 100644 data/TIL10_signature.xlsx create mode 100644 data/TIL9_signature.xlsx delete mode 100644 hook-scipy.py delete mode 100644 hook-sklearn.py delete mode 100644 pyread.py delete mode 100644 read celllines.ipynb delete mode 100644 requirements.txt diff --git a/.gitignore b/.gitignore deleted file mode 100644 index 6cb3c1a..0000000 --- a/.gitignore +++ /dev/null @@ -1,12 +0,0 @@ -#Ignore all file xlsx/xls -*.xlsx -*.xls - -#Ignore dist and build folder -build/ -dist/ -app/dist/ -app/build/ -data/ - -MixturePy.spec \ No newline at end of file diff --git a/.~prueba_dash.py b/.~prueba_dash.py deleted file mode 100644 index 73acb73..0000000 --- a/.~prueba_dash.py +++ /dev/null @@ -1,31 +0,0 @@ -import dash -import dash_core_components as dcc -import dash_html_components as html - -external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] - -app = dash.Dash(__name__, external_stylesheets=external_stylesheets) - -app.layout = html.Div(children=[ - html.H1(children='Hello Dash'), - - html.Div(children=''' - Dash: A web application framework for Python. - '''), - - dcc.Graph( - id='example-graph', - figure={ - 'data': [ - {'x': [1, 2, 3], 'y': [4, 1, 2], 'type': 'bar', 'name': 'SF'}, - {'x': [1, 2, 3], 'y': [2, 4, 5], 'type': 'bar', 'name': u'Montréal'}, - ], - 'layout': { - 'title': 'Dash Data Visualization' - } - } - ) -]) - -if __name__ == '__main__': - app.run_server(debug=True) diff --git a/Generate betas til9 by CSV.ipynb b/Generate betas til9 by CSV.ipynb deleted file mode 100644 index f76ef8e..0000000 --- a/Generate betas til9 by CSV.ipynb +++ /dev/null @@ -1,836 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import os\n", - "import sys\n", - "import Mixture\n", - "import multiprocessing\n", - "from joblib import Parallel, delayed\n", - "from random import seed\n", - "from random import sample \n", - "from random import randint\n", - "\n", - "#Library to read RDS format\n", - "import rpy2\n", - "import rpy2.robjects as robjects\n", - "from rpy2.robjects import pandas2ri\n", - "from rpy2.robjects.conversion import localconverter" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "lines = [2, 6]\n", - "cpu = multiprocessing.cpu_count()\n", - "rango = 1000" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "dataFrameSignature = pd.read_csv('data/yourCSV.csv') " - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "def createBetas (X, a, b, n):\n", - "\n", - " ns = randint(a, b)\n", - " r = np.random.uniform(1, 0.2, ns)\n", - " rn = r/r.sum()\n", - " id = sample(range(n-1), ns)\n", - " betas = np.repeat(.0, n, axis=0)\n", - " for index, i in enumerate(id, start = 0):\n", - " betas[i] = rn[index]\n", - "\n", - " vector = X.to_numpy(copy=True) \n", - " vector = vector.flatten()\n", - " \n", - " A = np.dot(X, betas) + vector[sample(range(len(vector)), len(X.index))]\n", - "\n", - " return betas, id, A" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "X = dataFrameSignature.iloc[:, 1:]\n", - "\n", - "subjects = Parallel(n_jobs=cpu, backend='threading')(delayed(createBetas)(X = X, a = lines[0], b = lines[1], n = len(X.columns)) for i in range(rango))\n", - "\n", - "# Getting expression matrix\n", - "vector = [x[2] for x in subjects]\n", - "columns = ['V' + str(x+1) for x in range(len(subjects))]\n", - "Y2 = pd.DataFrame(np.column_stack(vector), columns=columns)\n", - "Y2.insert(0, 'Gene symbol', dataFrameSignature['Gene symbol'])\n", - "\n", - "# Getting Real Betas Matrix\n", - "vector = [x[0] for x in subjects]\n", - "columns = ['V' + str(x+1) for x in range(len(subjects))]\n", - "betas = pd.DataFrame(np.column_stack(vector), columns=columns)\n", - "\n", - "X = dataFrameSignature\n", - "\n", - "vector = [len(x[1]) for x in subjects]\n", - "ids = pd.DataFrame(np.column_stack(vector)) " - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    Gene symbolV1V2V3V4V5V6V7V8V9...V991V992V993V994V995V996V997V998V999V1000
    0ARID5B33.23768770.0042211056.25728375.998576606.7571721079.7034041099.903693520.480681539.262485...995.897857810.99756282.125528498.925694693.3350241559.40538942.868952558.27122826.015060439.750067
    1ZNF46026.17233343.537807223.40260930.690271151.602554646.409374467.474151790.1270143380.805424...274.335580489.63916841.772076298.386691483.863220230.133870179.894142328.406265232.8175972019.223556
    2RBM47109.314441736.350077136.280086269.460696101.12949984.36879892.458961488.437630302.876185...71.7006761202.688853142.731337160.251038143.508774452.588464104.5044252417.902865170.1705536484.288262
    3GRN199.6995012899.9131942775.9664063179.8170751603.2520065487.3128743288.0449273441.0532051972.853978...958.6274241378.1941114269.2175601839.5598263513.0769963145.7660792488.6493602433.4238851546.4770143929.304613
    4CTSB2060.3055992641.8216243824.1509663378.4271342719.1626961295.7940712070.9425993123.0982271164.683130...910.9044061390.5832512874.6237392222.4959517747.8858043693.7475311756.1219103344.505323963.2711794113.015548
    ..................................................................
    12360OR2L230.59833729.551740102.42803669.746195554.36324726.172729241.50194128.24425829.620185...545.31120957.1325871263.869664206.05993772.8825101236.484502213.95695425.27376749.82817936.304298
    12361GCSAML1614.770854283.85183932.876204156.1514443359.29550354.61424633.28620259.32805022.607001...22.1348631047.459657685.84600878.91088174.94970253.160030218.97535988.971986282.28400187.941525
    12362TMEM23149.54499874.324778172.08276943.09687231.02156193.2634582533.19169796.54265818.758440...91.69057624.24916321.06264540.0483501135.34727675.620229189.99534965.939426154.982048265.342772
    12363ZNF15576.8389421313.958559101.25486372.206799114.21664963.563951165.527547235.735576287.283313...133.91259893.175893154.573671139.22358089.12634363.83662982.27042253.10471254.41770246.981812
    12364FAM86B3P212.368971615.74823231.414682106.340368141.562859249.32964341.78256047.10565453.570292...496.116012801.76477798.9297081985.93498436.619628331.84052829.506705273.59779558.28330193.480752
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    12365 rows Ă— 1001 columns

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    " - ], - "text/plain": [ - " Gene symbol V1 V2 V3 V4 \\\n", - "0 ARID5B 33.237687 70.004221 1056.257283 75.998576 \n", - "1 ZNF460 26.172333 43.537807 223.402609 30.690271 \n", - "2 RBM47 109.314441 736.350077 136.280086 269.460696 \n", - "3 GRN 199.699501 2899.913194 2775.966406 3179.817075 \n", - "4 CTSB 2060.305599 2641.821624 3824.150966 3378.427134 \n", - "... ... ... ... ... ... \n", - "12360 OR2L2 30.598337 29.551740 102.428036 69.746195 \n", - "12361 GCSAML 1614.770854 283.851839 32.876204 156.151444 \n", - "12362 TMEM231 49.544998 74.324778 172.082769 43.096872 \n", - "12363 ZNF155 76.838942 1313.958559 101.254863 72.206799 \n", - "12364 FAM86B3P 212.368971 615.748232 31.414682 106.340368 \n", - "\n", - " V5 V6 V7 V8 V9 ... \\\n", - "0 606.757172 1079.703404 1099.903693 520.480681 539.262485 ... \n", - "1 151.602554 646.409374 467.474151 790.127014 3380.805424 ... \n", - "2 101.129499 84.368798 92.458961 488.437630 302.876185 ... \n", - "3 1603.252006 5487.312874 3288.044927 3441.053205 1972.853978 ... \n", - "4 2719.162696 1295.794071 2070.942599 3123.098227 1164.683130 ... \n", - "... ... ... ... ... ... ... \n", - "12360 554.363247 26.172729 241.501941 28.244258 29.620185 ... \n", - "12361 3359.295503 54.614246 33.286202 59.328050 22.607001 ... \n", - "12362 31.021561 93.263458 2533.191697 96.542658 18.758440 ... \n", - "12363 114.216649 63.563951 165.527547 235.735576 287.283313 ... \n", - "12364 141.562859 249.329643 41.782560 47.105654 53.570292 ... \n", - "\n", - " V991 V992 V993 V994 V995 \\\n", - "0 995.897857 810.997562 82.125528 498.925694 693.335024 \n", - "1 274.335580 489.639168 41.772076 298.386691 483.863220 \n", - "2 71.700676 1202.688853 142.731337 160.251038 143.508774 \n", - "3 958.627424 1378.194111 4269.217560 1839.559826 3513.076996 \n", - "4 910.904406 1390.583251 2874.623739 2222.495951 7747.885804 \n", - "... ... ... ... ... ... \n", - "12360 545.311209 57.132587 1263.869664 206.059937 72.882510 \n", - "12361 22.134863 1047.459657 685.846008 78.910881 74.949702 \n", - "12362 91.690576 24.249163 21.062645 40.048350 1135.347276 \n", - "12363 133.912598 93.175893 154.573671 139.223580 89.126343 \n", - "12364 496.116012 801.764777 98.929708 1985.934984 36.619628 \n", - "\n", - " V996 V997 V998 V999 V1000 \n", - "0 1559.405389 42.868952 558.271228 26.015060 439.750067 \n", - "1 230.133870 179.894142 328.406265 232.817597 2019.223556 \n", - "2 452.588464 104.504425 2417.902865 170.170553 6484.288262 \n", - "3 3145.766079 2488.649360 2433.423885 1546.477014 3929.304613 \n", - "4 3693.747531 1756.121910 3344.505323 963.271179 4113.015548 \n", - "... ... ... ... ... ... \n", - "12360 1236.484502 213.956954 25.273767 49.828179 36.304298 \n", - "12361 53.160030 218.975359 88.971986 282.284001 87.941525 \n", - "12362 75.620229 189.995349 65.939426 154.982048 265.342772 \n", - "12363 63.836629 82.270422 53.104712 54.417702 46.981812 \n", - "12364 331.840528 29.506705 273.597795 58.283301 93.480752 \n", - "\n", - "[12365 rows x 1001 columns]" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Y2" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Generate xlsx\n", - "with pd.ExcelWriter('betas.list.TIL9.xlsx') as writer:\n", - " betas.to_excel(writer, sheet_name='beta')\n", - " ids.to_excel(writer, sheet_name='id')\n", - " Y2.to_excel(writer, sheet_name='A')\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.8" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/Generate betas til9.ipynb b/Generate betas til9.ipynb deleted file mode 100644 index 5d42dd8..0000000 --- a/Generate betas til9.ipynb +++ /dev/null @@ -1,446 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import os\n", - "import sys\n", - "import Mixture\n", - "import multiprocessing\n", - "from joblib import Parallel, delayed\n", - "from random import seed\n", - "from random import sample \n", - "from random import randint" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "lines = [2, 6]\n", - "cpu = multiprocessing.cpu_count()\n", - "rango = 1000" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "dataFrameSignature = pd.read_excel('data/Pre.proccessor.xlsx', sheet_name = 0) " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "def createBetas (X, a, b, n):\n", - "\n", - " ns = randint(a, b)\n", - " r = np.random.uniform(1, 0.2, ns)\n", - " rn = r/r.sum()\n", - " id = sample(range(n-1), ns)\n", - " betas = np.repeat(.0, n, axis=0)\n", - " for index, i in enumerate(id, start = 0):\n", - " betas[i] = rn[index]\n", - "\n", - " vector = X.to_numpy(copy=True) \n", - " vector = vector.flatten()\n", - " \n", - " A = np.dot(X, betas) + vector[sample(range(len(vector)), len(X.index))]\n", - "\n", - " return betas, id, A" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "X = dataFrameSignature.iloc[:, 1:]\n", - "\n", - "subjects = Parallel(n_jobs=cpu, backend='threading')(delayed(createBetas)(X = X, a = lines[0], b = lines[1], n = len(X.columns)) for i in range(rango))\n", - "\n", - "# Getting expression matrix\n", - "vector = [x[2] for x in subjects]\n", - "columns = ['V' + str(x+1) for x in range(len(subjects))]\n", - "Y2 = pd.DataFrame(np.column_stack(vector), columns=columns)\n", - "Y2.insert(0, 'Gene symbol', dataFrameSignature['Gene symbol'])\n", - "\n", - "# Getting Real Betas Matrix\n", - "vector = [x[0] for x in subjects]\n", - "columns = ['V' + str(x+1) for x in range(len(subjects))]\n", - "betas = pd.DataFrame(np.column_stack(vector), columns=columns)\n", - "\n", - "X = dataFrameSignature\n", - "\n", - "vector = [len(x[1]) for x in subjects]\n", - "ids = pd.DataFrame(np.column_stack(vector)) " - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    9 rows Ă— 1000 columns

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"version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.8" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/Generate betas til9.py b/Generate betas til9.py deleted file mode 100644 index a3b0177..0000000 --- a/Generate betas til9.py +++ /dev/null @@ -1,91 +0,0 @@ -#!/usr/bin/env python -# coding: utf-8 - -# In[1]: - -import pandas as pd -import numpy as np -import os -import sys -import Mixture -import multiprocessing -from joblib import Parallel, delayed -from random import seed -from random import sample -from random import randint - - -# In[2]: - - -lines = [2, 6] -cpu = multiprocessing.cpu_count() -rango = 1000 - - -# In[3]: - - -dataFrameSignature = pd.read_excel('data/Pre.proccessor.xlsx', sheet_name = 0) - - -# In[4]: - - -def createBetas (X, a, b, n): - - ns = randint(a, b) - r = np.random.uniform(1, 0.2, ns) - rn = r/r.sum() - id = sample(range(n-1), ns) - betas = np.repeat(.0, n, axis=0) - for index, i in enumerate(id, start = 0): - betas[i] = rn[index] - - vector = X.to_numpy(copy=True) - vector = vector.flatten() - - A = np.dot(X, betas) + vector[sample(range(len(vector)), len(X.index))] - - return betas, id, A - - -# In[5]: - - -X = dataFrameSignature.iloc[:, 1:] - -subjects = Parallel(n_jobs=cpu, backend='threading')(delayed(createBetas)(X = X, a = lines[0], b = lines[1], n = len(X.columns)) for i in range(rango)) - -# Getting expression matrix -vector = [x[2] for x in subjects] -columns = ['V' + str(x+1) for x in range(len(subjects))] -Y2 = pd.DataFrame(np.column_stack(vector), columns=columns) -Y2.insert(0, 'Gene symbol', dataFrameSignature['Gene symbol']) - -# Getting Real Betas Matrix -vector = [x[0] for x in subjects] -columns = ['V' + str(x+1) for x in range(len(subjects))] -betas = pd.DataFrame(np.column_stack(vector), columns=columns) - -X = dataFrameSignature - -vector = [len(x[1]) for x in subjects] -ids = pd.DataFrame(np.column_stack(vector)) - - -# In[10]: - - -betas - - -# In[ ]: - - -#Generate xlsx -with pd.ExcelWriter('betas.list.TIL9.xlsx') as writer: - betas.to_excel(writer, sheet_name='beta') - ids.to_excel(writer, sheet_name='id') - Y2.to_excel(writer, sheet_name='A') - diff --git a/Mixture/.pypirc b/Mixture/.pypirc deleted file mode 100644 index d1fa504..0000000 --- a/Mixture/.pypirc +++ /dev/null @@ -1,8 +0,0 @@ -[distutils] -index-servers = - pypi - -[pypi] -repository: https://pypi.python.org/pypi -username: SmMatias -password: Mmatias23 diff --git a/Mixture/LICENSE b/Mixture/LICENSE deleted file mode 100644 index 19ce3da..0000000 --- a/Mixture/LICENSE +++ /dev/null @@ -1,21 +0,0 @@ -MIT License - -Copyright (c) 2019 MixturePy - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. \ No newline at end of file diff --git a/Mixture/MANIFEST.in b/Mixture/MANIFEST.in deleted file mode 100644 index d774087..0000000 --- a/Mixture/MANIFEST.in +++ /dev/null @@ -1 +0,0 @@ -include data/* \ No newline at end of file diff --git a/Mixture/Mixture.egg-info/PKG-INFO b/Mixture/Mixture.egg-info/PKG-INFO deleted file mode 100644 index a8225d6..0000000 --- a/Mixture/Mixture.egg-info/PKG-INFO +++ /dev/null @@ -1,28 +0,0 @@ -Metadata-Version: 2.1 -Name: Mixture -Version: 0.8 -Summary: Mixture for Py -Home-page: https://github.com/MsMatias/MixturePy -Author: Mixture -License: MIT -Description: # MIXTUREpy - - A v-SVR based noise constrained Recursive Feature Extraction algorithm for robust deconvolution of cell-types mixture from molecular signatures en python - - Since the significant impact of immunotherapy in cancer, the estimation of the immune cell-type proportions present in a tumor becomes crucial. Currently, the deconvolution of the cell mixture content of a tumor is carried out by different analytic tools, yet the accuracy of inferred cell type proportions has room for improvement. We improve tumor immune environment characterization developing MIXTURE, an analytical method based on a noise constrained recursive variable selection for a support vector regression - - - ### Prerequisites - - The current "functional like" version of the software requires the following libraries, however, this package download automatically yours dependencies - * pandas - * numpy - * sklearn - * multiprocessing - * joblib -Platform: UNKNOWN -Classifier: Programming Language :: Python :: 3 -Classifier: License :: OSI Approved :: MIT License -Classifier: Operating System :: OS Independent -Requires-Python: >=3.6 -Description-Content-Type: text/markdown diff --git a/Mixture/Mixture.egg-info/SOURCES.txt b/Mixture/Mixture.egg-info/SOURCES.txt deleted file mode 100644 index aecf6f3..0000000 --- a/Mixture/Mixture.egg-info/SOURCES.txt +++ /dev/null @@ -1,14 +0,0 @@ -MANIFEST.in -README.md -setup.py -Mixture/Mixer.py -Mixture/Utils.py -Mixture/__init__.py -Mixture/nuSvmRobust.py -Mixture/tuneSvmForDeconv.py -Mixture.egg-info/PKG-INFO -Mixture.egg-info/SOURCES.txt -Mixture.egg-info/dependency_links.txt -Mixture.egg-info/not-zip-safe -Mixture.egg-info/requires.txt -Mixture.egg-info/top_level.txt \ No newline at end of file diff --git a/Mixture/Mixture.egg-info/dependency_links.txt b/Mixture/Mixture.egg-info/dependency_links.txt deleted file mode 100644 index 8b13789..0000000 --- a/Mixture/Mixture.egg-info/dependency_links.txt +++ /dev/null @@ -1 +0,0 @@ - diff --git a/Mixture/Mixture.egg-info/not-zip-safe b/Mixture/Mixture.egg-info/not-zip-safe deleted file mode 100644 index 8b13789..0000000 --- a/Mixture/Mixture.egg-info/not-zip-safe +++ /dev/null @@ -1 +0,0 @@ - diff --git a/Mixture/Mixture.egg-info/requires.txt b/Mixture/Mixture.egg-info/requires.txt deleted file mode 100644 index 5b12908..0000000 --- a/Mixture/Mixture.egg-info/requires.txt +++ /dev/null @@ -1,6 +0,0 @@ -pandas -numpy -scikit-learn -joblib -xlrd -openpyxl diff --git a/Mixture/Mixture.egg-info/top_level.txt b/Mixture/Mixture.egg-info/top_level.txt deleted file mode 100644 index f5cbbb3..0000000 --- a/Mixture/Mixture.egg-info/top_level.txt +++ /dev/null @@ -1 +0,0 @@ -Mixture diff --git a/Mixture/Mixture/Mixer.py b/Mixture/Mixture/Mixer.py deleted file mode 100644 index 7b9c70f..0000000 --- a/Mixture/Mixture/Mixer.py +++ /dev/null @@ -1,72 +0,0 @@ -#!/usr/bin/env python -# coding: utf-8 - -import numpy as np -import pandas as pd -import os - -from Mixture.nuSvmRobust import nuSvmRobust -from sklearn.preprocessing import StandardScaler -from sklearn.preprocessing import scale -from joblib import Parallel, delayed - -# Function Mixer -# Main Function -# @method Mixer -# @param [DataFrame] Signature -# @param [DataFrame] Expression -# @param [int] num Cores -# @return ------- -def Mixer(X, Y, cores): - - print('Normalizing data') - - # Normalize signature Matrix - mean = X.iloc[:, 1:].mean() - std = X.iloc[:, 1:].stack().std() - X.iloc[:, 1:] = (X.iloc[:, 1:] - mean.mean()) / std - - # Intersection between X and Y - X = X.loc[X['Gene symbol'].isin(Y['Gene symbol'])] - Y = Y.loc[Y['Gene symbol'].isin(X['Gene symbol'])] - - # Ordering by GeneSymbol - X = X.sort_values(by=['Gene symbol']) - Y = Y.sort_values(by=['Gene symbol']) - - # Slice Gene symbol column - X = X.iloc[:, 1:] - Y = Y.iloc[:, 1:] - X.reset_index(drop=True, inplace=True) - - Yn = pd.DataFrame(scale(Y), index=Y.index, columns=Y.columns) - - out = list() - print('Processing...') - - out = Parallel(n_jobs=cores, backend='threading')(delayed(nuSvmRobust)(X = X, Y = j, subject = i, nuseq = [0.25,0.5,0.75], delta = 0.007, maxIter = -1, verbose = 1) for i, j in Yn.iteritems()) - - #out = [x.recv() for x in pipe_list] - - print('_____________________________________________________________________') - - print('Finish nuSvm') - - matWa = pd.DataFrame() - matWp = pd.DataFrame() - matRes = pd.DataFrame() - - for i in out: - matWa = matWa.append(i.Wa, ignore_index=True) - matWp = matWp.append(i.Wp, ignore_index=True) - matRes = matRes.append(pd.DataFrame([[i.RMSEa, i.RMSEp, i.Ra, i.Rp, i.BestParams, i.Iter]], columns=['RMSEa', 'RMSEp', 'Ra', 'Rp', 'BestParams', 'Iter']), ignore_index=True) - - matWa.index = Y.columns.values - matWa.columns = X.columns.values - - matWp.index = Y.columns.values - matWp.columns = X.columns.values - - matRes.index = matWp.index.values - - return (pd.DataFrame([[matWa, matWp, matRes]], columns=['MIXabs', 'MIXprop', 'ACCmetrix'])) diff --git a/Mixture/Mixture/Utils.py b/Mixture/Mixture/Utils.py deleted file mode 100644 index aab6096..0000000 --- a/Mixture/Mixture/Utils.py +++ /dev/null @@ -1,47 +0,0 @@ -import pkg_resources -import pandas as pd -import numpy as np -import random -import multiprocessing - -def sampleRandom (Y, i, verbose = 0): - - if verbose == 1: - print('--------------------------------------------------') - print('Creating Subject: ' + str(i) + ' Nro. Processor: ' + str(multiprocessing.current_process())) - print('--------------------------------------------------') - - Y = Y.iloc[:, 1:] - vector = Y.to_numpy(copy=True) - vector = vector.flatten() - - return vector[[random.randrange(Y.shape[0] * Y.shape[1]) for x in range(Y.shape[0])]] - -def loadSignature(sig): - if sig == 'LM22' or sig == 'lm22': - resource_path = pkg_resources.resource_filename(__name__, '/data/LM22Signature.xlsx') - signature = pd.read_excel(resource_path, sheet_name = 0) - elif sig == 'TIL10' or sig == 'til10': - resource_path = pkg_resources.resource_filename(__name__, '/data/TIL10_signature.xlsx') - signature = pd.read_excel(resource_path, sheet_name = 0) - else: - signature = None - print('Error, Type "LM22" or "TIL10"') - - return signature - -def getPValues (x, i): - return pd.DataFrame([sum(x.RMSEa < i.loc[:,'RMSEa']), - sum(x.RMSEp < i.loc[:,'RMSEp']), - sum(x.Ra > i.loc[:,'Ra']), - sum(x.Rp > i.loc[:,'Rp'])]).T/i.shape[0] - -def generateXlsx (result, pValues, nameFile): - if len(nameFile) > 0: - with pd.ExcelWriter( nameFile + '.xlsx') as writer: - result.Subjects[0].MIXabs[0].to_excel(writer, sheet_name='Absolute') - result.Subjects[0].MIXprop[0].to_excel(writer, sheet_name='Proportions') - result.Subjects[0].ACCmetrix[0].to_excel(writer, sheet_name='Metrics') - if pValues is not None: - pValues.to_excel(writer, sheet_name='Pvalues') - result.usedGenes[0].to_excel(writer, sheet_name='UsedGenes', index=False) \ No newline at end of file diff --git a/Mixture/Mixture/__init__.py b/Mixture/Mixture/__init__.py deleted file mode 100644 index c3c1b6b..0000000 --- a/Mixture/Mixture/__init__.py +++ /dev/null @@ -1,89 +0,0 @@ -#!/usr/bin/env python -# coding: utf-8 - -import pandas as pd -import numpy as np -import os -from Mixture.Mixer import Mixer -import Mixture.Utils as Utils -from joblib import Parallel, delayed - -def Mixture (X, Y, cores = 1, iter = 100, nameFile = 'output'): - - # Intersection between X and Y - geneList = X.loc[X['Gene symbol'].isin(Y['Gene symbol'])].sort_values(by=['Gene symbol'])['Gene symbol'] - - print('Running mixer with subjects (Count: ' + str(Y.shape[1]) + ')...') - # Run Mixer Function with original Expressions - orig = Mixer(X, Y, cores) - - print('Finish mixer') - - print('Get Medias') - - # Get Media by subject - totalMediaBySubject = Y.median(axis = 0, skipna = True) - - # Get Media by subject with intersect signatureMatrix - totalMediaBySubjectLm22 = Y.loc[Y['Gene symbol'].isin(X['Gene symbol'])].median(axis = 0, skipna = True) - - # Get Media - maxMediaFullCohort = max(np.median(Y.iloc[:, 1:]), 1) - - temp = pd.DataFrame([totalMediaBySubjectLm22/totalMediaBySubject, totalMediaBySubjectLm22/maxMediaFullCohort], index=['IscBySbj', 'IscPob']).T - orig.ACCmetrix[0] = pd.concat([orig.ACCmetrix[0], temp], sort = False, axis = 1) - - matRand = list() - - if iter > 0: - - print('Creating population (Count: ' + str(iter) + ')...') - - matRand = Parallel(n_jobs=cores, backend='threading')(delayed(Utils.sampleRandom)(Y = Y, i = i, verbose = 1) for i in range(iter)) - - #for i in range(iter): - # matRand.append(Utils.sampleRandom(Y, i, 1)) - - print('Finish creating population') - - matRand = map(list, zip(*matRand)) - matRand = pd.DataFrame(matRand, Y['Gene symbol']) - matRand.reset_index(drop=True, inplace=True) - matRand = pd.concat([Y['Gene symbol'], matRand], sort = False, axis = 1) - - print('Finish') - - print('Running mixer with porpulationBased (Count: ' + str(matRand.shape[1]) + ')') - # Run Mixer Function with Random Matrix - outMix = Mixer(X, matRand, cores) - - #geneList = pd.DataFrame(geneList) - - result = pd.DataFrame([orig, outMix.ACCmetrix[0], geneList], ['Subjects', 'PermutedMetrix', 'usedGenes']).T - - result.usedGenes[0] = pd.DataFrame(result.usedGenes[0]) - - pValues = list() - - pValues = result.Subjects[0].ACCmetrix[0].apply(Utils.getPValues, args=(result.PermutedMetrix[0], ), axis = 1) - pValues = pd.DataFrame(pValues.values.tolist(), index = pValues.index, columns=['RMSEa', 'RMSEa', 'Ra', 'Rp']) - - print('Finish') - - Utils.generateXlsx (result, pValues, nameFile) - - return result, pValues - else: - - result = pd.DataFrame([orig, geneList], ['Subjects', 'usedGenes']).T - - result.usedGenes[0] = pd.DataFrame(result.usedGenes[0]) - - print('Finish') - - Utils.generateXlsx (result, None, nameFile) - - return result, None - - - diff --git a/Mixture/Mixture/__pycache__/Mixer.cpython-37.pyc b/Mixture/Mixture/__pycache__/Mixer.cpython-37.pyc deleted file mode 100644 index 8ce876c8a771ff035fe4631ea1b0fe6eb373a63f..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1907 zcmb_dOK(&+6t;ce^CB<8B&alHfjX5seQ&A=3JK6G5=BW{;A*1Lov|72a9`LSl!@-F zpn@(U^(Q2&s#1SRS6zEmshj36AXV+LXM&JmSzn!(ee835{Mq+byourah!)jU! 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Processor: ' + str(multiprocessing.current_process())) - print('--------------------------------------------------') - - while ok: - i = i + 1 - # Run function - XX = X.loc[:, X.columns.isin(wSel.columns[wSel.values[0] > 0])] - r, model = tuneSvmForDeconv.tuneSvmForDeconv(X = XX, Y = Y.values, nuseq = [0.25,0.5,0.75], delta = 0.007) - - if i == 1: - salida.append(r) - - if verbose == 1: - print('Iter: ' + str(i) + ' Subject: ' + str(subject), flush=True) - - # Get betas - w = model.coef_ - - # Set values i to zero where i < 0 - w = np.where(w<0, 0, w) - - # Save new betas backup - wAbs = w - - # Normalize data - w = w/np.sum(w) - - # Set values i to zero where i < delta - w = np.where(w 0).sum().sum() == 1): - break - wSel.loc[:, wSel.columns.isin(w.loc[:, (w.values < delta).any(axis=0)].columns)] = 0 - else: - ok = False - - if i >= maxIter and maxIter > -1: - ok = False - - wOut = pd.DataFrame(wAbs[0], XX.columns).T - - # Create wSel with all values in zero - wSel = [0 for x in range(len(X.columns))] - wSel = pd.DataFrame(wSel, X.columns).T - wSel.loc[:, wSel.columns.isin(wOut.columns)] = wOut - - u = X.apply(lambda x: x * wSel.iloc[0], axis = 1).values - k = np.sum(u, axis = 1) - #k = u.sum(axis = 1, skipna = True) - nusvm = math.sqrt(pow((k - Y.values),2).mean()) - corrv = np.corrcoef(k, Y.values) - #corrv = k.corr(Y.values) - - w = wSel/wSel.sum().sum() - uW = X.apply(lambda x: x * w.iloc[0], axis = 1).values - kW = np.sum(uW, axis = 1) - #kW = uW.sum(axis = 1, skipna = True) - nusvmW = math.sqrt(pow((kW - Y.values),2).mean()) - corrvW = np.corrcoef(kW, Y.values) - #corrvW = kW.corr(Y.values) - - #wSel = wSel.where(wSel>delta).fillna(0) - #w = w.where(w>delta).fillna(0).round(1) - - result = pd.Series([wSel, w, nusvm, nusvmW, corrv[0][1], corrvW[0][1], model.get_params()['nu'], i], index =['Wa', 'Wp', 'RMSEa', 'RMSEp', 'Ra', 'Rp', 'BestParams', 'Iter']) - return result diff --git a/Mixture/Mixture/tuneSvmForDeconv.py b/Mixture/Mixture/tuneSvmForDeconv.py deleted file mode 100644 index 0b35ba4..0000000 --- a/Mixture/Mixture/tuneSvmForDeconv.py +++ /dev/null @@ -1,58 +0,0 @@ -#!/usr/bin/env python -# coding: utf-8 - -import numpy as np -import pandas as pd -import os, math, sys - -from sklearn.svm import NuSVR - -# Function nuSvr (Not import) -# Run NuSvr with expression Matrix and signature Matrix -# @method nuSvr -# @param [DataFrame] Signature -# @param [DataFrame] Expression -# @param [float] nu -# @param [float] delta -# @return [Array] [{ float } RMSEpredict, { objet } model] -def nuSvr(X, Y, nu, delta, verbose = False): - - # Run NuSVR - clf = NuSVR(kernel='linear', C=1.0, nu=nu, verbose = verbose) - clf.fit(X, Y) - - # Get betas - w = clf.coef_ - - # Set values i to zero where i < 0 - w = np.where(w<0, 0, w) - - # Normalize data - w = w/np.sum(w) - - # Set values i to zero where i < delta - w = np.where(w i.loc[:,'Ra']), - sum(x.Rp > i.loc[:,'Rp'])]).T/i.shape[0] - -def generateXlsx (result, pValues, nameFile): - if len(nameFile) > 0: - with pd.ExcelWriter( nameFile + '.xlsx') as writer: - result.Subjects[0].MIXabs[0].to_excel(writer, sheet_name='Absolute') - result.Subjects[0].MIXprop[0].to_excel(writer, sheet_name='Proportions') - result.Subjects[0].ACCmetrix[0].to_excel(writer, sheet_name='Metrics') - pValues.to_excel(writer, sheet_name='Pvalues') - result.usedGenes[0].to_excel(writer, sheet_name='UsedGenes', index=False) \ No newline at end of file diff --git a/Mixture/build/lib/Mixture/__init__.py b/Mixture/build/lib/Mixture/__init__.py deleted file mode 100644 index 45c1978..0000000 --- a/Mixture/build/lib/Mixture/__init__.py +++ /dev/null @@ -1,76 +0,0 @@ -#!/usr/bin/env python -# coding: utf-8 - -import pandas as pd -import numpy as np -import os -from Mixture.Mixer import Mixer -import Mixture.Utils as Utils -from joblib import Parallel, delayed - -def Mixture (X, Y, cores = 1, iter = 100, nameFile = 'output'): - - # Intersection between X and Y - geneList = X.loc[X['Gene symbol'].isin(Y['Gene symbol'])].sort_values(by=['Gene symbol'])['Gene symbol'] - - print('Running mixer with subjects (Count: ' + str(Y.shape[1]) + ')...') - # Run Mixer Function with original Expressions - orig = Mixer(X, Y, cores) - - print('Finish mixer') - - print('Get Medias') - - # Get Media by subject - totalMediaBySubject = Y.median(axis = 0, skipna = True) - - # Get Media by subject with intersect signatureMatrix - totalMediaBySubjectLm22 = Y.loc[Y['Gene symbol'].isin(X['Gene symbol'])].median(axis = 0, skipna = True) - - # Get Media - maxMediaFullCohort = max(np.median(Y.iloc[:, 1:]), 1) - - temp = pd.DataFrame([totalMediaBySubjectLm22/totalMediaBySubject, totalMediaBySubjectLm22/maxMediaFullCohort], index=['IscBySbj', 'IscPob']).T - orig.ACCmetrix[0] = pd.concat([orig.ACCmetrix[0], temp], sort = False, axis = 1) - - matRand = list() - - print('Creating population (Count: ' + str(iter) + ')...') - - matRand = Parallel(n_jobs=cores, backend='threading')(delayed(Utils.sampleRandom)(Y = Y, i = i, verbose = 1) for i in range(iter)) - - #for i in range(iter): - # matRand.append(Utils.sampleRandom(Y, i, 1)) - - print('Finish creating population') - - matRand = map(list, zip(*matRand)) - matRand = pd.DataFrame(matRand, Y['Gene symbol']) - matRand.reset_index(drop=True, inplace=True) - matRand = pd.concat([Y['Gene symbol'], matRand], sort = False, axis = 1) - - print('Finish') - - print('Running mixer with porpulationBased (Count: ' + str(matRand.shape[1]) + ')') - # Run Mixer Function with Random Matrix - outMix = Mixer(X, matRand, cores) - - #geneList = pd.DataFrame(geneList) - - result = pd.DataFrame([orig, outMix.ACCmetrix[0], geneList], ['Subjects', 'PermutedMetrix', 'usedGenes']).T - - result.usedGenes[0] = pd.DataFrame(result.usedGenes[0]) - - pValues = list() - - pValues = result.Subjects[0].ACCmetrix[0].apply(Utils.getPValues, args=(result.PermutedMetrix[0], ), axis = 1) - pValues = pd.DataFrame(pValues.values.tolist(), index = pValues.index, columns=['RMSEa', 'RMSEa', 'Ra', 'Rp']) - - print('Finish') - - Utils.generateXlsx (result, pValues, nameFile) - - return result, pValues - - - diff --git a/Mixture/build/lib/Mixture/nuSvmRobust.py b/Mixture/build/lib/Mixture/nuSvmRobust.py deleted file mode 100644 index e1e2c24..0000000 --- a/Mixture/build/lib/Mixture/nuSvmRobust.py +++ /dev/null @@ -1,118 +0,0 @@ -# !/usr/bin/env python -# coding: utf-8 - -# In[1]: - -from __future__ import print_function -import numpy as np -import pandas as pd -import os, math, sys -import multiprocessing -# from ipynb.fs.full.tuneSvmForDeconv import tuneSvmForDeconv -from Mixture import tuneSvmForDeconv - -#pd.set_option('display.max_columns', None) -#pd.set_option('display.max_rows', None) -#pd.set_option('display.max_colwidth', -1) - -# Function nuSvmRobust -# ---------------- -# @method nuSvmRobust -# @param [DataFrame] Signature -# @param [DataFrame] Expression -# @param [array] nuseq -# @param [float] delta -# @return ------------- -def nuSvmRobust(X, Y, subject, nuseq = [0.25,0.5,0.75], delta = 0.007, maxIter = 6, verbose = 0): - - wSel = [1 for x in range(len(X.columns))] - wSel = pd.DataFrame(wSel, X.columns).T - ok = True - i = 0 - model = 0 - - salida = list() - - np.seterr(divide='ignore', invalid='ignore') - - if verbose == 1: - print('--------------------------------------------------') - print('Subject: ' + str(subject) + ' Nro. Processor: ' + str(multiprocessing.current_process())) - print('--------------------------------------------------') - - while ok: - i = i + 1 - # Run function - XX = X.loc[:, X.columns.isin(wSel.columns[wSel.values[0] > 0])] - r, model = tuneSvmForDeconv.tuneSvmForDeconv(X = XX, Y = Y.values, nuseq = [0.25,0.5,0.75], delta = 0.007) - - if i == 1: - salida.append(r) - - if verbose == 1: - print('Iter: ' + str(i) + ' Subject: ' + str(subject), flush=True) - - # Get betas - w = model.coef_ - - # Set values i to zero where i < 0 - w = np.where(w<0, 0, w) - - # Save new betas backup - wAbs = w - - # Normalize data - w = w/np.sum(w) - - # Set values i to zero where i < delta - w = np.where(w 0).sum().sum() == 1): - break - wSel.loc[:, wSel.columns.isin(w.loc[:, (w.values < delta).any(axis=0)].columns)] = 0 - else: - ok = False - - if i >= maxIter and maxIter > -1: - ok = False - - wOut = pd.DataFrame(wAbs[0], XX.columns).T - - # Create wSel with all values in zero - wSel = [0 for x in range(len(X.columns))] - wSel = pd.DataFrame(wSel, X.columns).T - wSel.loc[:, wSel.columns.isin(wOut.columns)] = wOut - - u = X.apply(lambda x: x * wSel.iloc[0], axis = 1).values - k = np.sum(u, axis = 1) - #k = u.sum(axis = 1, skipna = True) - nusvm = math.sqrt(pow((k - Y.values),2).mean()) - corrv = np.corrcoef(k, Y.values) - #corrv = k.corr(Y.values) - - w = wSel/wSel.sum().sum() - uW = X.apply(lambda x: x * w.iloc[0], axis = 1).values - kW = np.sum(uW, axis = 1) - #kW = uW.sum(axis = 1, skipna = True) - nusvmW = math.sqrt(pow((kW - Y.values),2).mean()) - corrvW = np.corrcoef(kW, Y.values) - #corrvW = kW.corr(Y.values) - - #wSel = wSel.where(wSel>delta).fillna(0) - #w = w.where(w>delta).fillna(0).round(1) - - result = pd.Series([wSel, w, nusvm, nusvmW, corrv[0][1], corrvW[0][1], model.get_params()['nu'], i], index =['Wa', 'Wp', 'RMSEa', 'RMSEp', 'Ra', 'Rp', 'BestParams', 'Iter']) - return result diff --git a/Mixture/build/lib/Mixture/tuneSvmForDeconv.py b/Mixture/build/lib/Mixture/tuneSvmForDeconv.py deleted file mode 100644 index 0b35ba4..0000000 --- a/Mixture/build/lib/Mixture/tuneSvmForDeconv.py +++ /dev/null @@ -1,58 +0,0 @@ -#!/usr/bin/env python -# coding: utf-8 - -import numpy as np -import pandas as pd -import os, math, sys - -from sklearn.svm import NuSVR - -# Function nuSvr (Not import) -# Run NuSvr with expression Matrix and signature Matrix -# @method nuSvr -# @param [DataFrame] Signature -# @param [DataFrame] Expression -# @param [float] nu -# @param [float] delta -# @return [Array] [{ float } RMSEpredict, { objet } model] -def nuSvr(X, Y, nu, delta, verbose = False): - - # Run NuSVR - clf = NuSVR(kernel='linear', C=1.0, nu=nu, verbose = verbose) - clf.fit(X, Y) - - # Get betas - w = clf.coef_ - - # Set values i to zero where i < 0 - w = np.where(w<0, 0, w) - - # Normalize data - w = w/np.sum(w) - - # Set values i to zero where i < delta - w = np.where(w multiprocessing.cpu_count():\n", - " cores = multiprocessing.cpu_count()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# Read xlsx files\n", - "X = pd.read_excel('app/data/TIL10_signature.xlsx', sheet_name = 0) " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# Read xlsx files\n", - "Y = pd.read_excel('data/NewmanFL.xlsx', sheet_name = 0) " - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Running mixer with subjects (Count: 15)...\n", - "Normalizing data\n", - "Processing...\n", - "----------------------------------------------------------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", - "Iter: 1 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gzIter: 1 Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz\n", - "\n", - "Iter: 1 Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz\n", - "Iter: 2 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", - "Iter: 2 Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz\n", - "Iter: 2 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz\n", - "Iter: 2 Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz\n", - "Iter: 3 Subject: GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz\n", - "Iter: 3 Subject: GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gzIter: 3 Subject: GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz\n", - "\n", - "--------------------------------------------------Iter: 3 Subject: GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz\n", - "\n", - "Subject: GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 3 Subject: GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gzIter: 2 Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz\n", - "Iter: 1 Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz\n", - "\n", - "Iter: 3 Subject: GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz\n", - "Iter: 2 Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz\n", - "Iter: 3 Subject: GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz\n", - "_____________________________________________________________________\n", - "Finish nuSvm\n", - "Finish mixer\n", - "Get Medias\n", - "Creating population (Count: 4)...\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "\n", - "--------------------------------------------------\n", - "Creating Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "\n", - "Creating Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Finish creating population\n", - "Finish\n", - "Running mixer with porpulationBased (Count: 5)\n", - "Normalizing data\n", - "Processing...\n", - "----------------------------------------------------------------------------------------------------\n", - "Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 1\n", - "Iter: 1 Subject: 0\n", - "Iter: 1 Subject: 2\n", - "Iter: 1 Subject: 3\n", - "Iter: 2 Subject: 1\n", - "Iter: 2 Subject: 0\n", - "Iter: 2 Subject: 2Iter: 2 Subject: 3\n", - "\n", - "Iter: 3 Subject: 0\n", - "Iter: 3 Subject: 1\n", - "Iter: 3 Subject: 2\n", - "_____________________________________________________________________\n", - "Finish nuSvm\n", - "Finish\n" - ] - } - ], - "source": [ - "# Run Mixer Function\n", - "if __name__ == '__main__':\n", - " result, pValues = Mixture.Mixture(X, Y , cores, iters, output)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[0.90256962, 0.09743038, 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ],\n", - " [0.7136939 , 0.1289198 , 0. , 0. , 0. ,\n", - " 0. , 0.11802777, 0.03935852, 0. , 0. ],\n", - " [0.79589517, 0.09674959, 0. , 0. , 0. ,\n", - " 0. , 0. , 0.03918719, 0.06816806, 0. ],\n", - " [0.46974898, 0.30925149, 0. , 0. , 0. ,\n", - " 0. , 0.18748422, 0.03351531, 0. , 0. ],\n", - " [0.60193307, 0.11220227, 0.16187135, 0. , 0. ,\n", - " 0. , 0.10233414, 0.02165916, 0. , 0. ],\n", - " [0.49398868, 0.12679016, 0.06592614, 0. , 0. ,\n", - " 0. , 0.26288403, 0.05041099, 0. , 0. ],\n", - " [0.70989344, 0.14510445, 0. , 0. , 0. ,\n", - " 0. , 0.05838125, 0.05919139, 0.02742947, 0. ],\n", - " [0.88472318, 0.0553045 , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0.05997232, 0. ],\n", - " [0.89564802, 0. , 0. , 0. , 0. ,\n", - " 0. , 0.10435198, 0. , 0. , 0. ],\n", - " [0.67255126, 0.15353534, 0. , 0. , 0. ,\n", - " 0. , 0.13137347, 0.02168938, 0.02085054, 0. ],\n", - " [0.56230175, 0.08673577, 0.20400794, 0. , 0. ,\n", - " 0. , 0.12470417, 0.02225037, 0. , 0. ],\n", - " [0.93644457, 0.01161619, 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0.05193924, 0. ],\n", - " [0.54997657, 0.04595101, 0.06601392, 0. , 0. ,\n", - " 0. , 0.30917694, 0.02888156, 0. , 0. ],\n", - " [0.66715859, 0.13556801, 0. , 0. , 0. ,\n", - " 0. , 0.15357514, 0.04369827, 0. , 0. ]])" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "oo = result.Subjects[0].MIXprop[0].to_numpy(copy = True)\n", - "oo" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "a = [result.Subjects[0].MIXprop[0].iloc[j].values for j in range(len(result.Subjects[0].MIXprop[0]))]" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[0.90256962, 0.7136939 , 0.79589517, 0.46974898, 0.60193307,\n", - " 0.49398868, 0.70989344, 0.88472318, 0.89564802, 0.67255126,\n", - " 0.56230175, 0.93644457, 0.54997657, 0.66715859],\n", - " [0.09743038, 0.1289198 , 0.09674959, 0.30925149, 0.11220227,\n", - " 0.12679016, 0.14510445, 0.0553045 , 0. , 0.15353534,\n", - " 0.08673577, 0.01161619, 0.04595101, 0.13556801],\n", - " [0. , 0. , 0. , 0. , 0.16187135,\n", - " 0.06592614, 0. , 0. , 0. , 0. ,\n", - " 0.20400794, 0. , 0.06601392, 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. ],\n", - " [0. , 0.11802777, 0. , 0.18748422, 0.10233414,\n", - " 0.26288403, 0.05838125, 0. , 0.10435198, 0.13137347,\n", - " 0.12470417, 0. , 0.30917694, 0.15357514],\n", - " [0. , 0.03935852, 0.03918719, 0.03351531, 0.02165916,\n", - " 0.05041099, 0.05919139, 0. , 0. , 0.02168938,\n", - " 0.02225037, 0. , 0.02888156, 0.04369827],\n", - " [0. , 0. , 0.06816806, 0. , 0. ,\n", - " 0. , 0.02742947, 0.05997232, 0. , 0.02085054,\n", - " 0. , 0.05193924, 0. , 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. ]])" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.transpose(a)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    B.cellsMacrophages.M1Macrophages.M2MonocytesNeutrophilsNK.cellsT.cells.CD4T.cells.CD8TregsDendritic.cells
    GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz0.9025700.0974300.0000000.00.00.00.0000000.0000000.0000000.0
    GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz0.7136940.1289200.0000000.00.00.00.1180280.0393590.0000000.0
    GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz0.7958950.0967500.0000000.00.00.00.0000000.0391870.0681680.0
    GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz0.4697490.3092510.0000000.00.00.00.1874840.0335150.0000000.0
    GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz0.6019330.1122020.1618710.00.00.00.1023340.0216590.0000000.0
    GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz0.4939890.1267900.0659260.00.00.00.2628840.0504110.0000000.0
    GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz0.7098930.1451040.0000000.00.00.00.0583810.0591910.0274290.0
    GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz0.8847230.0553050.0000000.00.00.00.0000000.0000000.0599720.0
    GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz0.8956480.0000000.0000000.00.00.00.1043520.0000000.0000000.0
    GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz0.6725510.1535350.0000000.00.00.00.1313730.0216890.0208510.0
    GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz0.5623020.0867360.2040080.00.00.00.1247040.0222500.0000000.0
    GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz0.9364450.0116160.0000000.00.00.00.0000000.0000000.0519390.0
    GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz0.5499770.0459510.0660140.00.00.00.3091770.0288820.0000000.0
    GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz0.6671590.1355680.0000000.00.00.00.1535750.0436980.0000000.0
    \n", - "
    " - ], - "text/plain": [ - " B.cells \\\n", - "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.902570 \n", - "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.713694 \n", - "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.795895 \n", - "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.469749 \n", - "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.601933 \n", - "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.493989 \n", - "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.709893 \n", - "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.884723 \n", - "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.895648 \n", - "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.672551 \n", - "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.562302 \n", - "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.936445 \n", - "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.549977 \n", - "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.667159 \n", - "\n", - " Macrophages.M1 \\\n", - "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.097430 \n", - "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.128920 \n", - "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.096750 \n", - "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.309251 \n", - "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.112202 \n", - "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.126790 \n", - "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.145104 \n", - "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.055305 \n", - "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.000000 \n", - "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.153535 \n", - "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.086736 \n", - "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.011616 \n", - "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.045951 \n", - "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.135568 \n", - "\n", - " Macrophages.M2 \\\n", - "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.000000 \n", - "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.000000 \n", - "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.000000 \n", - "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.000000 \n", - "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.161871 \n", - "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.065926 \n", - "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.000000 \n", - "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.000000 \n", - "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.000000 \n", - "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.000000 \n", - "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.204008 \n", - "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.000000 \n", - "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.066014 \n", - "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.000000 \n", - "\n", - " Monocytes Neutrophils \\\n", - "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.0 0.0 \n", - "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.0 0.0 \n", - "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.0 0.0 \n", - "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.0 0.0 \n", - "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.0 0.0 \n", - "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.0 0.0 \n", - "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.0 0.0 \n", - "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.0 0.0 \n", - "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.0 0.0 \n", - "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.0 0.0 \n", - "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.0 0.0 \n", - "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.0 0.0 \n", - "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.0 0.0 \n", - "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.0 0.0 \n", - "\n", - " NK.cells T.cells.CD4 \\\n", - "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.0 0.000000 \n", - "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.0 0.118028 \n", - "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.0 0.000000 \n", - "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.0 0.187484 \n", - "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.0 0.102334 \n", - "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.0 0.262884 \n", - "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.0 0.058381 \n", - "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.0 0.000000 \n", - "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.0 0.104352 \n", - "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.0 0.131373 \n", - "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.0 0.124704 \n", - "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.0 0.000000 \n", - "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.0 0.309177 \n", - "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.0 0.153575 \n", - "\n", - " T.cells.CD8 Tregs \\\n", - "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.000000 0.000000 \n", - "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.039359 0.000000 \n", - "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.039187 0.068168 \n", - "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.033515 0.000000 \n", - "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.021659 0.000000 \n", - "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.050411 0.000000 \n", - "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.059191 0.027429 \n", - "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.000000 0.059972 \n", - "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.000000 0.000000 \n", - "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.021689 0.020851 \n", - "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.022250 0.000000 \n", - "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.000000 0.051939 \n", - "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.028882 0.000000 \n", - "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.043698 0.000000 \n", - "\n", - " Dendritic.cells \n", - "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.0 \n", - "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.0 \n", - "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.0 \n", - "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.0 \n", - "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.0 \n", - "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.0 \n", - "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.0 \n", - "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.0 \n", - "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.0 \n", - "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.0 \n", - "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.0 \n", - "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.0 \n", - "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.0 \n", - "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.0 " - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "result.Subjects[0].MIXprop[0]" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[{'index': 'GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz',\n", - " 'RMSEa': 0.7356467701374008,\n", - " 'RMSEp': 1.3580584756979353,\n", - " 'Ra': 0.7659924064451571,\n", - " 'Rp': 0.7659924064451571,\n", - " 'BestParams': 0.25,\n", - " 'Iter': 4,\n", - " 'IscBySbj': 1.3614559595090132,\n", - " 'IscPob': 1.4338058519231907},\n", - " {'index': 'GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz',\n", - " 'RMSEa': 0.7505897249244129,\n", - " 'RMSEp': 1.090406026517986,\n", - " 'Ra': 0.7110050497112939,\n", - " 'Rp': 0.7110050497112943,\n", - " 'BestParams': 0.75,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.4812507549846523,\n", - " 'IscPob': 1.7360281133525028},\n", - 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" {'index': 'GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz',\n", - " 'RMSEa': 0.8357526440717506,\n", - " 'RMSEp': 0.9220692012485019,\n", - " 'Ra': 0.603599701930536,\n", - " 'Rp': 0.6035997019305361,\n", - " 'BestParams': 0.5,\n", - " 'Iter': 4,\n", - " 'IscBySbj': 1.5198711858383502,\n", - " 'IscPob': 1.7544527697105345},\n", - " {'index': 'GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz',\n", - " 'RMSEa': 0.7890824338319162,\n", - " 'RMSEp': 1.1467157955213947,\n", - " 'Ra': 0.662757463529935,\n", - " 'Rp': 0.6627574635299351,\n", - " 'BestParams': 0.5,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.5299931536787006,\n", - " 'IscPob': 1.5963206231304197},\n", - " {'index': 'GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz',\n", - " 'RMSEa': 0.8181283890228448,\n", - " 'RMSEp': 1.5053263997506567,\n", - " 'Ra': 0.6158581588113806,\n", - " 'Rp': 0.6158581588113806,\n", - " 'BestParams': 0.75,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.4666248239439506,\n", - " 'IscPob': 1.3107743675863595},\n", - " {'index': 'GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz',\n", - " 'RMSEa': 0.738484399659218,\n", - " 'RMSEp': 1.4016467133867787,\n", - " 'Ra': 0.717762987535987,\n", - " 'Rp': 0.7177629875359868,\n", - " 'BestParams': 0.5,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.3038483337900335,\n", - " 'IscPob': 1.1124117209595081},\n", - " {'index': 'GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz',\n", - " 'RMSEa': 0.8444033804632818,\n", - " 'RMSEp': 1.0593343920275025,\n", - " 'Ra': 0.6840760505412941,\n", - " 'Rp': 0.6840760505412938,\n", - " 'BestParams': 0.5,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.4653159078042208,\n", - " 'IscPob': 1.3889594811732004},\n", - " {'index': 'GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz',\n", - " 'RMSEa': 0.7574527293730309,\n", - " 'RMSEp': 0.9156376633520333,\n", - " 'Ra': 0.6965434899346512,\n", - " 'Rp': 0.6965434899346511,\n", - " 'BestParams': 0.75,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.3842983256700507,\n", - " 'IscPob': 1.267873749017242},\n", - " {'index': 'GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz',\n", - " 'RMSEa': 0.7272371774257491,\n", - " 'RMSEp': 1.4552726472482724,\n", - " 'Ra': 0.7387176417109829,\n", - " 'Rp': 0.7387176417109832,\n", - " 'BestParams': 0.75,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.6252912321302102,\n", - " 'IscPob': 1.6694893908251813},\n", - " {'index': 'GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz',\n", - " 'RMSEa': 0.7754653074972279,\n", - " 'RMSEp': 0.9107204618211545,\n", - " 'Ra': 0.665374889094444,\n", - " 'Rp': 0.665374889094444,\n", - " 'BestParams': 0.75,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.6102328167574849,\n", - " 'IscPob': 1.514096545250108},\n", - " {'index': 'GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz',\n", - " 'RMSEa': 0.817035910688728,\n", - " 'RMSEp': 1.132628635352565,\n", - " 'Ra': 0.6139840261413105,\n", - " 'Rp': 0.6139840261413106,\n", - " 'BestParams': 0.75,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.461235334393658,\n", - " 'IscPob': 1.5882348967389759}]" - ] - }, - "execution_count": 56, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "absolute = result.Subjects[0].MIXabs[0].reset_index().to_dict('records')\n", - "proportions = result.Subjects[0].MIXprop[0].reset_index().to_dict('records')\n", - "metrics = result.Subjects[0].ACCmetrix[0].reset_index().to_dict('records')\n", - "metrics.to_dict('records')" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1.7015024184163652" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.mean(result.Subjects[0].ACCmetrix[0].IscBySbj.values)+2*np.std(result.Subjects[0].ACCmetrix[0].IscBySbj.values)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'subject' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# Getting Real Betas Matrix\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mvector\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0msubject\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0mcolumns\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'V'\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msubject\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mBetas\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumn_stack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvector\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mNameError\u001b[0m: name 'subject' is not defined" - ] - } - ], - "source": [ - "# Getting Real Betas Matrix\n", - "vector = [x[0] for x in subject]\n", - "columns = ['V' + str(x+1) for x in range(len(subject))]\n", - "Betas = pd.DataFrame(np.column_stack(vector), columns=columns)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def blandAltman (betas, result):\n", - " betahat = result.Subjects[0].MIXprop[0].T.to_numpy(copy=True)\n", - " betahat = betahat.flatten()\n", - " \n", - " betasim = betas.to_numpy(copy=True)\n", - " betasim = betasim.flatten()\n", - " \n", - " df = pd.DataFrame(np.transpose([betahat, betasim, (betahat - betasim)]), columns = ['betahat', 'betasim', 'difs'])\n", - " summary = pd.DataFrame([[np.mean(df.difs),np.std(df.difs),np.min(df.difs),np.max(df.difs)]], columns = ['mn', 'sd', 'mi', 'mx'])\n", - " return df, summary\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "ba, summary = blandAltman (Betas, result)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def blandAltamGraph(ba, summary):\n", - " fig, ax = plt.subplots(figsize=(16,8))\n", - " ax.plot(ba.betasim, ba.difs, 'k.')\n", - " plt.xlabel('Beta Sim')\n", - " plt.ylabel('Difs')\n", - " ax.axhline(summary.mn[0])\n", - " ax.axhline(summary.mn[0]+2*summary.sd[0])\n", - " ax.axhline(summary.mn[0]-2*summary.sd[0])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "blandAltamGraph(ba, summary)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.0" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/PRUEBA.py b/PRUEBA.py deleted file mode 100644 index 5de61dc..0000000 --- a/PRUEBA.py +++ /dev/null @@ -1,75 +0,0 @@ -#!/usr/bin/env python -# coding: utf-8 - -# --------------------------------------------------- -# -------------------- WARNING ---------------------- -# --------------------------------------------------- -# Do you need run this commands: -# ulimit -n 8192 -# sudo sysctl -w fs.file-max=100000 - - -import pandas as pd -import numpy as np -import os -import sys -import Mixture -import multiprocessing - -#Library to read RDS format -import rpy2 -import rpy2.robjects as robjects -from rpy2.robjects import pandas2ri -from rpy2.robjects.conversion import localconverter - -def convertRDS (X): - readRDS = robjects.r['readRDS'] - df = readRDS(X) - with localconverter(robjects.default_converter + pandas2ri.converter): - df = robjects.conversion.rpy2py(df) - vector = np.array(df[0]) - pd.DataFrame(vector, index = brcapd[0].rownames, columns = brcapd[0].colnames) - return pd - -if len(sys.argv) < 5: - print('Write first the dataset and output name file') - print('Example: [num cores] [iterators] [signature file] [expression file] [output file]') - sys.exit() - -cores = int(sys.argv[1]) -iters = int(sys.argv[2]) -signature = sys.argv[3] -expression = sys.argv[4] -output = sys.argv[5] - -print('Num cores: ' + str(multiprocessing.cpu_count())) - -if cores > multiprocessing.cpu_count(): - cores = multiprocessing.cpu_count() - -# Verify file format (XLS or XLSX) -#if X.find('.xls') != -1: - #X = pd.read_excel(signature, sheet_name = 0) -#else if X.find('.rds') != -1: - #X = convertRDS(signature) - - -#if Y.find('.xls') != -1: - #Y = pd.read_excel(expression, sheet_name = 0) -#else if X.find('.rds') != -1: - #Y = convertRDS(expression) - -readRDS = robjects.r['readRDS'] - -X = pd.read_excel(signature, sheet_name = 0) - -df = readRDS(Y) -with localconverter(robjects.default_converter + pandas2ri.converter): - df = robjects.conversion.rpy2py(df) - -vector = [x[2] for x in df] -Y = pd.DataFrame(np.column_stack(vector), index=df[0][2].rownames) - -# Run Mixer Function -if __name__ == '__main__': - data = Mixture.Mixture(X, Y , cores, iters, output) diff --git a/README.md b/README.md deleted file mode 100644 index 7ead0b4..0000000 --- a/README.md +++ /dev/null @@ -1,61 +0,0 @@ -# MIXTUREpy - -A v-SVR based noise constrained Recursive Feature Extraction algorithm for robust deconvolution of cell-types mixture from molecular signatures in python - -Since the significant impact of immunotherapy in cancer, the estimation of the immune cell-type proportions present in a tumor becomes crucial. Currently, the deconvolution of the cell mixture content of a tumor is carried out by different analytic tools, yet the accuracy of inferred cell type proportions has room for improvement. We improve tumor immune environment characterization developing MIXTURE, an analytical method based on a noise constrained recursive variable selection for a support vector regression - -## Getting Started - -* [User Guide](https://docs.google.com/presentation/d/1lv8YGpmyuf9n9UUKAm5GavVHrqdSYf9m1UrzU_a0sK8/edit?usp=sharing) - -These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system. - -### Prerequisites - -The current "functional like" version of the software requires the following libraries, however, this package download automatically yours dependencies - * pandas - * numpy - * sklearn - * rpy2 - * multiprocessing - * joblib - -### Installing -* [User Guide](https://docs.google.com/presentation/d/1lv8YGpmyuf9n9UUKAm5GavVHrqdSYf9m1UrzU_a0sK8/edit?usp=sharing) - -## Running MIXTURE - -* [User Guide](https://docs.google.com/presentation/d/1lv8YGpmyuf9n9UUKAm5GavVHrqdSYf9m1UrzU_a0sK8/edit?usp=sharing) - -This example tends to estimate the same pure cell-types from LM22 signature matrix from NewMan -``` -# Read xlsx files -X = pd.read_excel('data/LM22_signature.xlsx', sheet_name = 0) -Y = pd.read_excel('data/NewmanFL.xlsx', sheet_name = 0) - -#Number of cores that will work -core = 4 - -#Number of permutation samples -iter = 500 - -#Name the output file xlsx (without format) -output = 'Result_Newman' - -# Run Mixer Function -if __name__ == '__main__': - result, pValues = Mixture.Mixture(X, Y , cores, iters, output) - -``` - -## Contributing - -Please read [CONTRIBUTING.md](https://gist.github.com/PurpleBooth/b24679402957c63ec426) for details on our code of conduct, and the process for submitting pull requests to us. - -## Authors - -* **Elmer AndrĂ©s FernĂ¡ndez** - *Initial work* - [Profile](https://www.researchgate.net/profile/Elmer_Fernandez) - -## License - -This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details diff --git a/Score.py b/Score.py deleted file mode 100644 index f023c09..0000000 --- a/Score.py +++ /dev/null @@ -1,54 +0,0 @@ -#!/usr/bin/env python -# coding: utf-8 - -import numpy as np -import pandas as pd -import os - -from sklearn.preprocessing import StandardScaler -from sklearn.preprocessing import scale -from joblib import Parallel, delayed - -# Function Score -# Main Function -# @method Score -# @param [DataFrame] Signature -# @param [DataFrame] Expression -# @param [int] num Cores -# @return ------- -def Score(X, Y, cores): - - print('Normalizing data') - - # Intersection between X and Y - X = X.loc[X['Gene symbol'].isin(Y['Gene symbol'])] - Y = Y.loc[Y['Gene symbol'].isin(X['Gene symbol'])] - - # Ordering by GeneSymbol - X = X.sort_values(by=['Gene symbol']) - Y = Y.sort_values(by=['Gene symbol']) - - # Slice Gene symbol column - X = X.iloc[:, 1:] - Y = Y.iloc[:, 1:] - X.reset_index(drop=True, inplace=True) - - out = list() - print('Processing...') - - out = Parallel(n_jobs=cores, backend='threading')(delayed(linearDeconv)(X = X, Y = j) for i, j in Yn.iteritems()) - - #out = [x.recv() for x in pipe_list] - - print('_____________________________________________________________________') - - print('Finish Svm') - - return pd.DataFrame(out) - -def linearDeconv (X, Y): - svr = LinearSVR(random_state=0) - model = svr.fit(X, Y) - score = model.coef_ - score[np.where(score<0)] = 0 - return (score/sum(score)) diff --git a/Test Beta List.ipynb b/Test Beta List.ipynb deleted file mode 100644 index e3438f3..0000000 --- a/Test Beta List.ipynb +++ /dev/null @@ -1,1434 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import os\n", - "import sys\n", - "import Mixture\n", - "import multiprocessing\n", - "\n", - "#Library to read RDS format\n", - "import rpy2\n", - "import rpy2.robjects as robjects\n", - "from rpy2.robjects import pandas2ri\n", - "from rpy2.robjects.conversion import localconverter" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Num cores: 8\n" - ] - } - ], - "source": [ - "print('Num cores: ' + str(multiprocessing.cpu_count()))\n", - "\n", - "cores = 4\n", - "iters = 1000\n", - "output = 'outputBetas'\n", - "\n", - "if cores > multiprocessing.cpu_count():\n", - " cores = multiprocessing.cpu_count()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# Read xlsx files\n", - "X = pd.read_excel('data/LM22Signature.xlsx', sheet_name = 0) " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# Read RDS file\n", - "readRDS = robjects.r['readRDS']\n", - "df = readRDS('data/betas.list.rds')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " ListVector with 3 elements.\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
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    Gene symbolV1V2V3V4V5V6V7V8V9...V991V992V993V994V995V996V997V998V999V1000
    0ABCB48.945509142.07247871.0952868.044532253.83092743.75265247.5821607.83023815.211115...84.86494354.94274611.45812712.56266511.183133111.0928598.882520152.60492516.70459558.549290
    1ABCB921.45586325.91268932.46042927.94075530.65918759.30972962.01436673.31052342.817621...138.65292165.28066539.72196327.82825073.528976113.49862626.06573637.99812029.61507669.974101
    2ACAP1305.800368305.701176440.2463751078.154315354.591811394.696046449.849152738.45959293.286625...1017.017436638.8699171278.316667463.637793410.964707264.947011300.680626570.847867535.480544373.985972
    3ACHE65.86390932.632942200.34410125.51845015.57694815.815799475.51866818.80857016.286325...22.61200715.66143923.68610027.33039621.759842222.13296226.80778524.27099849.76659618.725972
    4ACP51764.173365736.8503112243.253122708.548176489.9613995264.9798655558.3142213516.649180284.860889...715.2774206588.323313624.908135385.425993717.2746843382.445949410.8069405143.9516261234.7556256168.356860
    ..................................................................
    542ZNF204P37.64469166.57621660.35002693.22951888.30339237.01750641.726875104.02692534.006948...239.67911640.27505854.92312770.27255671.40273656.94034099.26854157.24890438.75814162.754896
    543ZNF22255.47742575.212158136.85337858.61163175.822563108.79956750.72150578.743189218.620946...67.186437139.68510018.63600221.385793105.50243485.93196214.435118104.57646572.55389376.525896
    544ZNF286A264.231769271.793550161.411805174.949169397.85141888.36719788.748593110.49534859.287232...133.85799371.955046292.884501359.685132173.210334199.690999227.653742212.150047245.312982127.379798
    545ZNF32433.11383732.07392750.05572787.96233728.56029666.96901637.002385125.34742635.753980...199.609382110.42271449.09568339.59822035.60861829.29382638.15750842.95726038.80569730.459135
    546ZNF44246.00868816.34089847.34714099.22360335.19088142.53698162.97537425.60323452.160910...22.76562046.31511133.43256987.49339355.26463145.176320120.62481633.66096132.68433026.963862
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0.000000 0.263688 0.147197 \n", - "20 0.109841 0.146638 0.000000 0.192109 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.288422 0.166528 \n", - "\n", - "[22 rows x 1000 columns]" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Betas" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "def blandAltman (betas, result):\n", - " betahat = result.Subjects[0].MIXprop[0].T.to_numpy(copy=True)\n", - " betahat = betahat.flatten()\n", - " \n", - " betasim = betas.to_numpy(copy=True)\n", - " betasim = betasim.flatten()\n", - " \n", - " df = pd.DataFrame(np.transpose([betahat, betasim, (betahat - betasim)]), columns = ['betahat', 'betasim', 'difs'])\n", - " summary = pd.DataFrame([[np.mean(df.difs),np.std(df.difs),np.min(df.difs),np.max(df.difs)]], columns = ['mn', 'sd', 'mi', 'mx'])\n", - " return df, summary\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "ba, summary = blandAltman (Betas, result)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "def blandAltamGraph(ba, summary):\n", - " fig, ax = plt.subplots(figsize=(16,8))\n", - " ax.plot(ba.betasim, ba.difs, 'k.')\n", - " plt.xlabel('Beta Sim')\n", - " plt.ylabel('Difs')\n", - " ax.axhline(summary.mn[0])\n", - " ax.axhline(summary.mn[0]+2*summary.sd[0])\n", - " ax.axhline(summary.mn[0]-2*summary.sd[0])" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "blandAltamGraph(ba, summary)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.8" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/Test Beta Noise List.ipynb b/Test Beta Noise List.ipynb deleted file mode 100644 index 51f8673..0000000 --- a/Test Beta Noise List.ipynb +++ /dev/null @@ -1,180798 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'rpy2'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 8\u001b[0m \u001b[1;31m#Library to read RDS format\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 9\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 10\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrobjects\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mrobjects\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 11\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrobjects\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mpandas2ri\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'rpy2'" - ] - } - ], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import os\n", - "import sys\n", - "import Mixture\n", - "import multiprocessing\n", - "\n", - "#Library to read RDS format\n", - "import rpy2\n", - "import rpy2.robjects as robjects\n", - "from rpy2.robjects import pandas2ri\n", - "from rpy2.robjects.conversion import localconverter" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Num cores: 4\n" - ] - } - ], - "source": [ - "print('Num cores: ' + str(multiprocessing.cpu_count()))\n", - "\n", - "cores = 4\n", - "iters = 1000\n", - "output = 'outputBetasNoise'\n", - "\n", - "if cores > multiprocessing.cpu_count():\n", - " cores = multiprocessing.cpu_count()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# Read xlsx files\n", - "X = pd.read_excel('data/LM22Signature.xlsx', sheet_name = 0) " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Running mixer with subjects (Count: 1001)...\n", - "Normalizing data\n", - "Processing...\n", - "_____________________________________________________________________\n", - "Finish nuSvm\n", - "Finish mixer\n", - "Get Medias\n", - "Creating population (Count: 1000)...\n", - "Finish creating population\n", - "Finish\n", - "Running mixer with porpulationBased (Count: 1001)\n", - "Normalizing data\n", - "Processing...\n", - "_____________________________________________________________________\n", - "Finish nuSvm\n", - "Finish\n" - ] - } - ], - "source": [ - "# Read RDS file\n", - "readRDS = robjects.r['readRDS']\n", - "df = readRDS('data/betas.noise.list.rds')\n", - "with localconverter(robjects.default_converter + pandas2ri.converter):\n", - " df = robjects.conversion.rpy2py(df)\n", - " \n", - "subject = df\n", - "\n", - "# Getting expression matrix\n", - "vector = [x[2] for x in subject]\n", - "columns = ['V' + str(x+1) for x in range(len(subject))]\n", - "Y = pd.DataFrame(np.column_stack(vector), columns=columns)\n", - "Y.insert(0, 'Gene symbol', df[0][2].rownames)\n", - "\n", - "# Run Mixer Function\n", - "if __name__ == '__main__':\n", - " result, pValues = Mixture.Mixture(X, Y , cores, iters, output)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "# Getting Real Betas Matrix\n", - "vector = [x[0] for x in subject]\n", - "columns = ['V' + str(x+1) for x in range(len(subject))]\n", - "Betas = pd.DataFrame(np.column_stack(vector), columns=columns)" - ] - }, - { - "cell_type": "code", - "execution_count": 119, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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"0 0.000000 0.091782 0.277620 0.000000 0.166682 0.000000 0.000000 \n", - "1 0.000000 0.194075 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.172553 0.081024 0.000000 0.402419 0.000000 0.065750 0.371603 \n", - "3 0.000000 0.000000 0.119912 0.000000 0.213617 0.000000 0.145501 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.142977 0.000000 0.000000 \n", - "5 0.000000 0.111067 0.000000 0.000000 0.166724 0.179957 0.000000 \n", - "6 0.162732 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.077261 0.227977 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.143764 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.078790 0.000000 0.197791 0.000000 0.000000 0.145728 0.000000 \n", - "10 0.127438 0.000000 0.000000 0.000000 0.120338 0.000000 0.482897 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.073462 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.147336 0.072982 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.205761 0.000000 0.176700 0.000000 0.116680 0.000000 0.000000 \n", - "17 0.052427 0.000000 0.000000 0.000000 0.000000 0.100329 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.227970 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.164908 0.000000 0.450245 0.000000 0.000000 0.000000 \n", - "21 0.200298 0.136119 0.000000 0.000000 0.000000 0.206805 0.000000 \n", - "\n", - " V29 V30 V31 V32 V33 V34 V35 \\\n", - "0 0.000000 0.139153 0.000000 0.257487 0.000000 0.053695 0.000000 \n", - "1 0.000000 0.135112 0.000000 0.000000 0.000000 0.156315 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.089717 \n", - "3 0.000000 0.000000 0.196052 0.000000 0.000000 0.000000 0.091578 \n", - "4 0.000000 0.126881 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.182065 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.604564 0.000000 0.000000 0.000000 0.000000 0.136579 0.000000 \n", - "8 0.000000 0.134876 0.178563 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.169720 0.193844 0.092228 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.197735 0.208011 0.229547 \n", - "11 0.000000 0.000000 0.217632 0.150659 0.390987 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.151770 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.083108 0.000000 0.000000 0.000000 0.000000 0.097539 \n", - "16 0.000000 0.000000 0.000000 0.260547 0.319050 0.054857 0.207812 \n", - "17 0.395436 0.000000 0.238033 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.166760 0.000000 \n", - "19 0.000000 0.092737 0.000000 0.081150 0.000000 0.168059 0.101743 \n", - "20 0.000000 0.000000 0.000000 0.056313 0.000000 0.055724 0.000000 \n", - "21 0.000000 0.136362 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V36 V37 V38 V39 V40 V41 V42 \\\n", - "0 0.243292 0.163038 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.084884 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.214216 0.344278 0.173637 0.089748 0.000000 0.133512 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.208703 0.153894 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.190570 0.000000 0.233525 \n", - "5 0.130524 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.183795 0.000000 0.000000 0.293717 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.163027 0.000000 0.085639 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.078086 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.075418 0.000000 0.000000 0.000000 0.000000 0.202851 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.103113 0.000000 \n", - "13 0.000000 0.229084 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.289089 0.265130 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.251326 0.220202 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.299253 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.257514 0.070118 0.000000 0.243044 \n", - "19 0.169680 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.112408 0.120900 0.356469 0.111407 0.109149 0.000000 0.236025 \n", - "21 0.000000 0.109735 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V43 V44 V45 V46 V47 V48 V49 \\\n", - "0 0.000000 0.000000 0.485621 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.703515 0.000000 0.000000 0.357141 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.143149 0.000000 0.000000 0.000000 0.196310 0.000000 \n", - "5 0.000000 0.178664 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.284827 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.192450 0.000000 0.000000 0.000000 0.222734 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.227499 0.264713 \n", - "9 0.000000 0.049427 0.000000 0.000000 0.654408 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.179530 \n", - "12 0.000000 0.173410 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.093561 0.000000 0.000000 0.345592 0.000000 0.000000 \n", - "15 0.715173 0.000000 0.243658 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.198616 \n", - "18 0.000000 0.000000 0.000000 0.296485 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.075091 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.094250 0.000000 0.000000 0.000000 0.149990 0.000000 \n", - "21 0.000000 0.000000 0.270721 0.000000 0.000000 0.203467 0.000000 \n", - "\n", - " V50 V51 V52 V53 V54 V55 V56 \\\n", - "0 0.000000 0.000000 0.000000 0.132402 0.000000 0.000000 0.172380 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.269642 \n", - "2 0.000000 0.000000 0.000000 0.116537 0.000000 0.000000 0.142530 \n", - "3 0.201857 0.000000 0.000000 0.101008 0.211008 0.000000 0.000000 \n", - "4 0.197376 0.000000 0.000000 0.000000 0.000000 0.000000 0.168721 \n", - "5 0.218267 0.000000 0.000000 0.000000 0.000000 0.236320 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.174126 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.163260 0.114405 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.160132 0.000000 0.000000 0.152910 0.000000 0.199933 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.165047 0.000000 \n", - "11 0.000000 0.000000 0.233243 0.000000 0.000000 0.000000 0.152471 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.262761 0.000000 0.130129 0.000000 0.058686 0.000000 \n", - "15 0.145763 0.000000 0.000000 0.000000 0.084080 0.000000 0.094257 \n", - "16 0.000000 0.737239 0.000000 0.000000 0.000000 0.181018 0.000000 \n", - "17 0.076606 0.000000 0.284695 0.000000 0.176416 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.482062 0.105324 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.088893 0.158995 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.098429 0.151071 0.000000 0.000000 \n", - "\n", - " V57 V58 V59 V60 V61 V62 V63 \\\n", - "0 0.000000 0.073872 0.000000 0.000000 0.450159 0.165233 0.000000 \n", - "1 0.000000 0.000000 0.170200 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.396794 0.000000 0.000000 0.000000 0.193862 \n", - "4 0.168800 0.114854 0.000000 0.000000 0.000000 0.114772 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.065078 \n", - "6 0.000000 0.080869 0.000000 0.000000 0.000000 0.275401 0.000000 \n", - "7 0.000000 0.153481 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.149470 0.000000 0.000000 0.238193 \n", - "10 0.208049 0.153826 0.000000 0.209129 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.223687 0.000000 0.000000 0.000000 \n", - "12 0.122313 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.090429 0.000000 0.000000 0.000000 0.000000 0.069248 0.000000 \n", - "14 0.057945 0.000000 0.148505 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.190649 0.000000 0.000000 0.267471 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.146028 0.000000 0.150243 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.268838 0.286101 \n", - "18 0.000000 0.181007 0.284501 0.000000 0.000000 0.000000 0.121477 \n", - "19 0.161815 0.000000 0.000000 0.000000 0.000000 0.000000 0.095291 \n", - "20 0.000000 0.096062 0.000000 0.000000 0.000000 0.106508 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.549841 0.000000 0.000000 \n", - "\n", - " V64 V65 V66 V67 V68 V69 V70 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.121201 0.356461 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.225661 0.134044 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.095042 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.314585 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.160392 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.115437 0.512718 0.000000 0.000000 \n", - "11 0.292648 0.000000 0.000000 0.220431 0.000000 0.160710 0.000000 \n", - "12 0.000000 0.000000 0.120733 0.000000 0.487282 0.000000 0.000000 \n", - "13 0.707352 0.000000 0.000000 0.000000 0.000000 0.070780 0.000000 \n", - "14 0.000000 0.161954 0.164875 0.274470 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.530530 0.000000 0.255618 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.120017 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.154087 0.000000 \n", - "18 0.000000 0.307517 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.174146 0.000000 0.000000 0.000000 0.239723 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.117771 0.403817 \n", - "\n", - " V71 V72 V73 V74 V75 V76 V77 \\\n", - "0 0.000000 0.185754 0.00000 0.000000 0.320051 0.000000 0.507829 \n", - "1 0.000000 0.293167 0.00000 0.000000 0.085306 0.127471 0.000000 \n", - "2 0.100459 0.000000 0.28005 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.152348 0.000000 0.00000 0.151868 0.000000 0.066577 0.000000 \n", - "4 0.000000 0.109693 0.00000 0.000000 0.160330 0.000000 0.000000 \n", - "5 0.179437 0.195874 0.00000 0.179388 0.000000 0.136340 0.000000 \n", - "6 0.000000 0.000000 0.00000 0.000000 0.000000 0.120967 0.000000 \n", - "7 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.142960 0.000000 0.00000 0.183589 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.00000 0.000000 0.216183 0.195321 0.000000 \n", - "12 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.00000 0.041674 0.000000 0.000000 0.000000 \n", - "14 0.089855 0.000000 0.71995 0.181174 0.000000 0.000000 0.492171 \n", - "15 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.181572 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.153370 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.00000 0.120914 0.218130 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.215512 0.00000 0.000000 0.000000 0.121552 0.000000 \n", - "21 0.000000 0.000000 0.00000 0.141393 0.000000 0.231773 0.000000 \n", - "\n", - " V78 V79 V80 V81 V82 V83 V84 \\\n", - "0 0.000000 0.101861 0.000000 0.000000 0.000000 0.000000 0.107107 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.179189 0.000000 0.000000 0.217921 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.385949 0.242518 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.222099 0.000000 0.154501 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.114459 0.192074 0.000000 0.000000 \n", - "7 0.000000 0.109946 0.000000 0.000000 0.000000 0.151834 0.108324 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.137742 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.181849 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.159905 0.000000 0.000000 0.000000 0.000000 0.098104 \n", - "11 0.663996 0.166062 0.000000 0.000000 0.000000 0.160685 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.170865 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.336004 0.000000 0.000000 0.000000 0.284235 0.000000 0.207019 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.342442 0.000000 0.000000 0.000000 0.214068 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.106065 0.000000 \n", - "18 0.000000 0.000000 0.446968 0.125973 0.000000 0.184397 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.152966 0.210590 0.176432 0.000000 0.000000 0.047458 \n", - "21 0.000000 0.138394 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V85 V86 V87 V88 V89 V90 V91 \\\n", - "0 0.120362 0.563282 0.000000 0.000000 0.000000 0.159452 0.147857 \n", - "1 0.000000 0.000000 0.000000 0.205100 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.444648 0.000000 0.000000 0.000000 \n", - "3 0.114656 0.000000 0.000000 0.350252 0.000000 0.000000 0.093848 \n", - "4 0.189002 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.406526 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.168736 0.000000 0.000000 0.000000 0.000000 0.119692 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.100717 0.184215 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.188467 0.218469 \n", - "12 0.000000 0.000000 0.211157 0.000000 0.000000 0.000000 0.232318 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.215725 0.436718 0.000000 0.000000 0.000000 0.173061 0.094735 \n", - "15 0.000000 0.000000 0.121958 0.000000 0.000000 0.135057 0.066375 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.492757 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.310755 0.000000 0.000000 0.000000 0.146398 \n", - "18 0.000000 0.000000 0.356130 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.191519 0.000000 0.000000 0.000000 0.000000 0.040056 0.000000 \n", - "\n", - " V92 V93 V94 V95 V96 V97 V98 \\\n", - "0 0.094282 0.000000 0.000000 0.000000 0.269234 0.000000 0.000000 \n", - "1 0.000000 0.190128 0.000000 0.000000 0.230288 0.389890 0.000000 \n", - "2 0.000000 0.136769 0.390231 0.179188 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.162485 0.000000 0.000000 0.000000 \n", - "4 0.227780 0.000000 0.312998 0.000000 0.000000 0.216631 0.250128 \n", - "5 0.000000 0.000000 0.296772 0.000000 0.329248 0.000000 0.000000 \n", - "6 0.111975 0.156708 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.171230 0.000000 0.000000 \n", - "8 0.241618 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.081796 0.000000 0.000000 0.000000 0.000000 0.345454 \n", - "10 0.000000 0.000000 0.000000 0.088514 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.155532 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - 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"9 0.000000 0.000000 0.000000 0.000000 0.130307 0.000000 0.000000 \n", - "10 0.093349 0.150020 0.000000 0.298895 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.068015 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.381688 0.084228 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.287850 0.000000 0.000000 0.000000 0.000000 0.309291 \n", - "17 0.000000 0.000000 0.000000 0.159694 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.186180 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.137317 0.236173 0.187946 0.000000 \n", - "20 0.000000 0.155891 0.000000 0.000000 0.000000 0.000000 0.108752 \n", - "21 0.242108 0.000000 0.000000 0.000000 0.000000 0.231838 0.000000 \n", - "\n", - " V113 V114 V115 V116 V117 V118 V119 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.060653 0.000000 0.000000 0.000000 0.126805 \n", - "2 0.287119 0.000000 0.000000 0.000000 0.246678 0.000000 0.000000 \n", - "3 0.000000 0.186254 0.000000 0.000000 0.000000 0.125419 0.000000 \n", - "4 0.000000 0.000000 0.205829 0.319525 0.000000 0.114001 0.000000 \n", - "5 0.000000 0.000000 0.091723 0.090157 0.000000 0.000000 0.137817 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.451889 0.000000 0.000000 0.000000 0.000000 0.124985 0.227769 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.145662 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.146544 0.000000 0.000000 \n", - "10 0.260992 0.271723 0.207360 0.180309 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.089431 0.000000 0.146752 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.111212 0.221702 0.195104 0.000000 0.000000 \n", - "13 0.000000 0.173121 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.123763 0.000000 0.000000 0.000000 0.172140 0.214798 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.169366 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.131001 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.159764 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.114116 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.060258 0.000000 0.132145 \n", - "20 0.000000 0.131023 0.000000 0.188307 0.000000 0.148427 0.000000 \n", - "21 0.000000 0.000000 0.074028 0.000000 0.073664 0.000000 0.160665 \n", - "\n", - " V120 V121 V122 V123 V124 V125 V126 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.072339 \n", - "1 0.000000 0.456601 0.000000 0.000000 0.000000 0.541377 0.000000 \n", - "2 0.071763 0.000000 0.000000 0.000000 0.000000 0.000000 0.139361 \n", - "3 0.000000 0.000000 0.000000 0.149900 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.543399 0.091866 0.068821 0.325617 0.000000 0.000000 \n", - 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"19 0.000000 0.000000 0.211307 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.087848 \n", - "\n", - " V127 V128 V129 V130 V131 V132 V133 \\\n", - "0 0.000000 0.000000 0.30986 0.000000 0.000000 0.172242 0.151748 \n", - "1 0.335446 0.251812 0.00000 0.000000 0.000000 0.000000 0.145268 \n", - "2 0.000000 0.098633 0.35756 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.00000 0.000000 0.145665 0.212436 0.000000 \n", - "4 0.000000 0.000000 0.00000 0.000000 0.144889 0.000000 0.231895 \n", - "5 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.106710 \n", - "8 0.000000 0.112062 0.17151 0.000000 0.000000 0.183357 0.000000 \n", - "9 0.222489 0.000000 0.00000 0.172849 0.110076 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.094592 0.117815 0.00000 0.000000 0.000000 0.000000 0.219663 \n", - "12 0.000000 0.000000 0.00000 0.000000 0.147139 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.00000 0.466466 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.121622 0.000000 0.00000 0.000000 0.000000 0.174834 0.000000 \n", - "17 0.225850 0.063187 0.16107 0.000000 0.196413 0.056494 0.000000 \n", - "18 0.000000 0.000000 0.00000 0.000000 0.178082 0.000000 0.000000 \n", - "19 0.000000 0.235672 0.00000 0.360685 0.077735 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.00000 0.000000 0.000000 0.200638 0.000000 \n", - "21 0.000000 0.120819 0.00000 0.000000 0.000000 0.000000 0.144715 \n", - "\n", - " V134 V135 V136 V137 V138 V139 V140 \\\n", - "0 0.455507 0.000000 0.000000 0.000000 0.070775 0.205069 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.344521 0.000000 0.000000 0.000000 0.000000 0.111556 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.523793 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.064136 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.243175 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.217424 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.255123 0.000000 0.161827 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.126136 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.068249 0.000000 \n", - "16 0.000000 0.342174 0.000000 0.397408 0.000000 0.000000 0.103408 \n", - "17 0.101888 0.136313 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.442606 0.000000 0.000000 0.000000 0.000000 0.268411 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.273641 0.000000 0.121220 \n", - "20 0.000000 0.000000 0.476207 0.000000 0.231500 0.088960 0.000000 \n", - "21 0.000000 0.176992 0.000000 0.602592 0.168961 0.000000 0.220429 \n", - "\n", - " V141 V142 V143 V144 V145 V146 V147 \\\n", - "0 0.000000 0.00000 0.000000 0.202360 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.00000 0.000000 0.000000 0.133455 0.000000 0.000000 \n", - "3 0.079288 0.00000 0.000000 0.000000 0.272204 0.000000 0.499962 \n", - "4 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.200768 \n", - "5 0.136519 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.299270 \n", - "7 0.273654 0.37475 0.000000 0.093344 0.000000 0.000000 0.000000 \n", - "8 0.093998 0.00000 0.000000 0.000000 0.147643 0.000000 0.000000 \n", - "9 0.000000 0.00000 0.281992 0.138516 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.00000 0.000000 0.181966 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.62525 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.00000 0.000000 0.000000 0.118433 0.356923 0.000000 \n", - "15 0.190287 0.00000 0.000000 0.000000 0.000000 0.366611 0.000000 \n", - "16 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.00000 0.718008 0.159484 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.00000 0.000000 0.000000 0.328266 0.105972 0.000000 \n", - "19 0.226253 0.00000 0.000000 0.224330 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - 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"12 0.000000 0.000000 0.000000 0.000000 0.000000 0.224741 0.000000 \n", - "13 0.000000 0.494340 0.000000 0.000000 0.313253 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.377448 0.000000 \n", - "15 0.059226 0.000000 0.000000 0.162654 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.176288 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.183141 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.189464 0.000000 0.000000 0.000000 0.686747 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.105560 0.000000 0.000000 0.000000 0.135375 \n", - "21 0.048842 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V155 V156 V157 V158 V159 V160 V161 \\\n", - "0 0.324446 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.105665 0.062415 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.169179 0.158729 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.065520 0.000000 0.000000 0.000000 0.220171 \n", - "4 0.000000 0.000000 0.130931 0.106437 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.151273 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.200913 0.000000 0.000000 0.208199 0.000000 0.104265 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.119444 0.278058 0.000000 0.173359 \n", - "10 0.000000 0.000000 0.201396 0.087526 0.000000 0.000000 0.000000 \n", - "11 0.675554 0.000000 0.000000 0.104393 0.000000 0.000000 0.079049 \n", - "12 0.000000 0.000000 0.057565 0.174507 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.156844 0.000000 0.000000 0.000000 0.200267 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.218720 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.295023 0.000000 0.000000 \n", - 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"8 0.000000 0.000000 0.115452 0.000000 0.201392 0.000000 0.367479 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.207810 0.000000 0.160509 0.000000 0.000000 0.000000 0.099224 \n", - "12 0.000000 0.000000 0.227254 0.000000 0.191804 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.144178 0.000000 0.059041 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.119423 0.000000 \n", - "16 0.429345 0.093284 0.000000 0.000000 0.000000 0.122040 0.323620 \n", - "17 0.000000 0.000000 0.083525 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.362845 0.000000 0.000000 0.600963 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.082018 0.000000 0.000000 0.000000 0.109411 0.000000 \n", - "20 0.000000 0.000000 0.090349 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.257173 0.000000 0.000000 0.167155 0.174917 0.000000 \n", - "\n", - " V169 V170 V171 V172 V173 V174 V175 \\\n", - "0 0.000000 0.091340 0.000000 0.000000 0.000000 0.089825 0.000000 \n", - "1 0.174515 0.228409 0.057934 0.000000 0.000000 0.000000 0.243461 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.201712 0.000000 0.210307 0.000000 0.000000 \n", - "4 0.000000 0.112192 0.077778 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.060371 0.000000 0.000000 0.238483 0.000000 0.000000 0.000000 \n", - "6 0.104116 0.148514 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.233358 0.259155 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.105294 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.082876 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.278705 0.123097 0.000000 \n", - "11 0.074486 0.131405 0.094021 0.261166 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.154453 0.000000 0.000000 0.069779 0.000000 0.000000 \n", - "13 0.205071 0.000000 0.000000 0.000000 0.000000 0.231066 0.000000 \n", - "14 0.074526 0.133687 0.000000 0.351795 0.239315 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.203684 0.000000 0.000000 0.322655 0.000000 \n", - "16 0.000000 0.000000 0.154435 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.213127 0.000000 0.127560 0.000000 0.096599 0.000000 0.000000 \n", - "19 0.093788 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.148555 0.000000 0.000000 0.241279 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.256105 \n", - "\n", - " V176 V177 V178 V179 V180 V181 V182 \\\n", - "0 0.000000 0.000000 0.415315 0.000000 0.000000 0.000000 0.098941 \n", - "1 0.000000 0.332192 0.000000 0.194260 0.000000 0.000000 0.143639 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.642296 0.000000 0.000000 0.000000 0.000000 0.000000 0.157988 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.092057 \n", - "5 0.000000 0.000000 0.119925 0.000000 0.000000 0.432868 0.000000 \n", - "6 0.000000 0.382249 0.000000 0.149958 0.000000 0.000000 0.139908 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.133181 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.184888 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.052063 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.136879 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.167861 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.569756 0.278880 0.000000 \n", - "15 0.000000 0.000000 0.331578 0.000000 0.430244 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.288252 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.140334 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.285559 0.000000 0.193681 0.000000 0.000000 0.000000 \n", - "21 0.357704 0.000000 0.000000 0.000000 0.000000 0.000000 0.147543 \n", - "\n", - " V183 V184 V185 V186 V187 V188 V189 \\\n", - "0 0.000000 0.080927 0.000000 0.000000 0.000000 0.073905 0.000000 \n", - "1 0.000000 0.160046 0.000000 0.144865 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.129599 0.113521 0.000000 0.107749 0.111485 0.000000 \n", - "3 0.048229 0.000000 0.000000 0.052365 0.223478 0.134484 0.000000 \n", - "4 0.150083 0.208289 0.000000 0.180058 0.000000 0.131424 0.000000 \n", - "5 0.148464 0.000000 0.094940 0.000000 0.074219 0.159784 0.000000 \n", - "6 0.170581 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.153493 0.075483 0.000000 0.000000 0.223279 \n", - "8 0.000000 0.063567 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.239644 0.000000 0.085916 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.088993 0.195968 \n", - "12 0.150885 0.000000 0.220399 0.000000 0.106399 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.204194 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.182256 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.046856 0.083720 0.046527 0.000000 0.149587 0.000000 \n", - "16 0.201099 0.000000 0.000000 0.000000 0.209715 0.000000 0.580752 \n", - "17 0.000000 0.000000 0.000000 0.114252 0.000000 0.000000 0.000000 \n", - "18 0.130659 0.165189 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.150337 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.192525 0.000000 0.000000 \n", - "21 0.000000 0.145527 0.094283 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V190 V191 V192 V193 V194 V195 V196 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.230944 \n", - "1 0.279084 0.000000 0.000000 0.228555 0.000000 0.000000 0.000000 \n", - "2 0.212862 0.000000 0.000000 0.000000 0.125622 0.061288 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.159269 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.349148 0.097380 0.000000 0.266468 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.181410 0.000000 0.189625 0.108326 0.000000 \n", - "7 0.000000 0.000000 0.088471 0.074157 0.000000 0.164400 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.061356 0.000000 0.000000 \n", - "9 0.000000 0.145059 0.055781 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.096558 0.000000 0.106833 0.205179 0.331551 \n", - "11 0.000000 0.000000 0.176019 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.068419 0.000000 0.048842 0.000000 \n", - "13 0.000000 0.109717 0.124297 0.000000 0.000000 0.119096 0.000000 \n", - "14 0.000000 0.071735 0.000000 0.000000 0.277241 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.239322 0.212812 0.131941 \n", - "16 0.000000 0.000000 0.000000 0.085846 0.000000 0.000000 0.305564 \n", - "17 0.000000 0.249273 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.167566 0.000000 0.084246 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.146633 0.000000 0.000000 0.080057 0.000000 \n", - "20 0.000000 0.000000 0.130830 0.192310 0.000000 0.000000 0.000000 \n", - "21 0.158906 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V197 V198 V199 V200 V201 V202 V203 \\\n", - "0 0.120066 0.000000 0.000000 0.151259 0.176913 0.000000 0.720664 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.166958 0.000000 0.000000 0.330425 0.000000 0.000000 0.000000 \n", - "4 0.198058 0.284497 0.240999 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.161488 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.170801 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.104147 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.145274 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.428074 0.000000 0.000000 \n", - "12 0.098811 0.383215 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.072397 0.000000 0.000000 0.000000 0.000000 0.000000 0.279336 \n", - "14 0.000000 0.000000 0.301757 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.066846 0.000000 0.000000 0.000000 0.176839 0.634059 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.208797 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.218173 0.000000 0.000000 \n", - "19 0.131589 0.000000 0.248447 0.414169 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.365941 0.000000 \n", - "\n", - " V204 V205 V206 V207 V208 V209 V210 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.111264 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.226775 0.000000 0.237454 0.055896 \n", - "3 0.219179 0.000000 0.000000 0.121890 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.214295 0.000000 \n", - "5 0.055136 0.259671 0.000000 0.000000 0.000000 0.000000 0.213005 \n", - "6 0.204162 0.000000 0.321105 0.000000 0.000000 0.000000 0.240477 \n", - "7 0.000000 0.000000 0.430209 0.000000 0.000000 0.000000 0.131243 \n", - "8 0.000000 0.240100 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.500229 0.000000 0.000000 0.207873 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.061391 0.000000 0.000000 0.162750 0.512303 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.171839 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.123362 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.156461 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.088042 0.000000 0.000000 0.000000 0.000000 0.230046 0.113013 \n", - "17 0.156037 0.000000 0.000000 0.000000 0.000000 0.000000 0.184849 \n", - "18 0.000000 0.000000 0.248686 0.000000 0.000000 0.318204 0.000000 \n", - "19 0.216053 0.000000 0.000000 0.205482 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.061517 \n", - "\n", - " V211 V212 V213 V214 V215 V216 V217 \\\n", - "0 0.000000 0.000000 0.000000 0.223468 0.251148 0.343187 0.289020 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.147309 0.205108 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.099259 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.057176 0.000000 0.141544 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.369421 0.117758 0.000000 0.000000 0.136646 0.000000 \n", - "6 0.000000 0.231599 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.398980 0.000000 0.127432 0.219537 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.066781 0.000000 0.162894 0.315059 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.191700 \n", - "10 0.651662 0.000000 0.000000 0.152128 0.000000 0.000000 0.278477 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.064903 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.165041 0.000000 0.161937 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.109434 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.130217 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.132380 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.213486 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.348338 0.000000 0.000000 0.496972 0.000000 0.000000 0.000000 \n", - "\n", - " V218 V219 V220 V221 V222 V223 V224 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.194618 \n", - "1 0.000000 0.000000 0.242204 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.102390 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.103947 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.189790 \n", - "6 0.000000 0.000000 0.079884 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.126624 0.000000 0.000000 0.000000 0.000000 0.513524 0.209102 \n", - "8 0.000000 0.000000 0.224270 0.443306 0.000000 0.000000 0.000000 \n", - "9 0.104074 0.000000 0.214805 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.108703 0.000000 0.000000 0.000000 0.413691 0.000000 0.136149 \n", - "11 0.216423 0.540319 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.092115 \n", - "13 0.229606 0.000000 0.134890 0.000000 0.176999 0.000000 0.000000 \n", - "14 0.118161 0.000000 0.000000 0.000000 0.000000 0.486476 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.096409 0.459681 0.000000 0.454304 0.409310 0.000000 0.178226 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V225 V226 V227 V228 V229 V230 V231 \\\n", - "0 0.000000 0.000000 0.00000 0.000000 0.000000 0.130042 0.000000 \n", - "1 0.271485 0.218437 0.00000 0.105102 0.120487 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.00000 0.000000 0.000000 0.051296 0.000000 \n", - "3 0.000000 0.163761 0.00000 0.000000 0.000000 0.000000 0.283876 \n", - "4 0.000000 0.000000 0.00000 0.000000 0.197948 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.285266 0.000000 0.74039 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.157851 0.00000 0.268496 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.00000 0.000000 0.218790 0.137817 0.199203 \n", - "9 0.000000 0.000000 0.00000 0.151615 0.000000 0.065256 0.000000 \n", - "10 0.000000 0.090001 0.00000 0.174062 0.000000 0.175296 0.000000 \n", - "11 0.136354 0.000000 0.25961 0.097938 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.00000 0.000000 0.000000 0.198048 0.000000 \n", - "13 0.000000 0.175886 0.00000 0.000000 0.140814 0.000000 0.178714 \n", - "14 0.000000 0.000000 0.00000 0.000000 0.151923 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.00000 0.000000 0.170038 0.000000 0.000000 \n", - "16 0.000000 0.057336 0.00000 0.000000 0.000000 0.000000 0.195581 \n", - "17 0.238478 0.053853 0.00000 0.000000 0.000000 0.000000 0.142626 \n", - "18 0.068417 0.000000 0.00000 0.000000 0.000000 0.070664 0.000000 \n", - "19 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.00000 0.000000 0.000000 0.171580 0.000000 \n", - "21 0.000000 0.082875 0.00000 0.202787 0.000000 0.000000 0.000000 \n", - "\n", - " V232 V233 V234 V235 V236 V237 V238 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.130924 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.123903 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.071832 0.000000 0.000000 0.098524 \n", - 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"17 0.000000 0.000000 0.000000 0.128971 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.215840 0.130664 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.221313 0.000000 0.135176 \n", - "21 0.411969 0.166786 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V239 V240 V241 V242 V243 V244 V245 \\\n", - "0 0.630548 0.000000 0.000000 0.000000 0.087015 0.000000 0.156991 \n", - "1 0.000000 0.000000 0.321537 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.159435 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.062938 0.098843 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.109688 0.104470 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.126607 0.000000 \n", - 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"\n", - " V246 V247 V248 V249 V250 V251 V252 \\\n", - "0 0.000000 0.000000 0.000000 0.00000 0.087046 0.000000 0.215786 \n", - "1 0.241227 0.000000 0.000000 0.44282 0.231465 0.171482 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.55718 0.061234 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.00000 0.053922 0.000000 0.000000 \n", - "5 0.000000 0.231080 0.000000 0.00000 0.000000 0.000000 0.330710 \n", - "6 0.000000 0.000000 0.345084 0.00000 0.000000 0.341005 0.000000 \n", - "7 0.319833 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.343282 \n", - "9 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.110222 \n", - "12 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.00000 0.115235 0.000000 0.000000 \n", - 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"6 0.000000 0.000000 0.00000 0.000000 0.076996 0.000000 0.166207 \n", - "7 0.112342 0.000000 0.00000 0.085180 0.000000 0.000000 0.124253 \n", - "8 0.143478 0.000000 0.00000 0.000000 0.000000 0.244080 0.000000 \n", - "9 0.041419 0.000000 0.00000 0.179966 0.145176 0.000000 0.000000 \n", - "10 0.000000 0.227435 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.158950 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.169677 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.189351 0.00000 0.091514 0.127327 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.00000 0.000000 0.138449 0.139303 0.000000 \n", - "16 0.000000 0.158793 0.00000 0.121122 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.00000 0.000000 0.122909 0.081294 0.000000 \n", - "18 0.058154 0.000000 0.49792 0.114017 0.099751 0.277798 0.000000 \n", - "19 0.000000 0.212750 0.00000 0.000000 0.122460 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.00000 0.000000 0.166932 0.000000 0.527972 \n", - "21 0.000000 0.000000 0.00000 0.000000 0.000000 0.130212 0.000000 \n", - "\n", - " V281 V282 V283 V284 V285 V286 V287 \\\n", - "0 0.238502 0.000000 0.000000 0.000000 0.000000 0.119000 0.000000 \n", - "1 0.000000 0.097265 0.180555 0.000000 0.000000 0.072881 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.110525 0.000000 0.163058 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.129995 0.127370 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.160201 0.000000 0.000000 0.000000 0.080293 0.190126 \n", - "7 0.000000 0.118749 0.000000 0.000000 0.185832 0.000000 0.199883 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.118224 0.000000 0.000000 \n", - "9 0.000000 0.090973 0.000000 0.000000 0.091756 0.000000 0.000000 \n", - "10 0.106063 0.000000 0.000000 0.149673 0.000000 0.000000 0.174087 \n", - 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"2 0.000000 0.000000 0.000000 0.000000 0.329681 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.336240 0.000000 0.000000 0.645242 \n", - "4 0.000000 0.000000 0.184641 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.377491 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.149273 0.105615 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.122180 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.129781 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.252531 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.180653 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.112055 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.054998 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.347153 0.165784 0.000000 0.000000 0.247662 0.000000 0.000000 \n", - "16 0.000000 0.129536 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.111957 0.000000 0.000000 0.000000 0.402540 0.000000 \n", - "18 0.000000 0.098975 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.652847 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.086208 0.000000 0.422657 0.447349 0.000000 \n", - "21 0.000000 0.241217 0.000000 0.000000 0.000000 0.150112 0.000000 \n", - "\n", - " V295 V296 V297 V298 V299 V300 V301 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.063430 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.324959 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.181387 0.000000 0.000000 0.000000 0.057622 \n", - "4 0.000000 0.000000 0.093646 0.000000 0.000000 0.072951 0.059138 \n", - "5 0.000000 0.000000 0.000000 0.161107 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.248696 0.000000 0.000000 0.000000 0.194083 0.000000 0.113823 \n", - "8 0.249502 0.000000 0.093572 0.000000 0.128923 0.121077 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.171654 0.000000 0.103084 0.208140 \n", - "10 0.320509 0.000000 0.098836 0.000000 0.000000 0.000000 0.115811 \n", - "11 0.000000 0.146836 0.132132 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.100343 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.210079 0.000000 0.144235 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.200888 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.128336 0.000000 \n", - "17 0.000000 0.287392 0.161109 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.175624 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.128296 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.197584 0.181149 \n", - "21 0.181293 0.565772 0.063694 0.457160 0.251692 0.104437 0.000000 \n", - "\n", - " V302 V303 V304 V305 V306 V307 V308 \\\n", - "0 0.169569 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.161075 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.117688 0.000000 0.000000 \n", - "3 0.000000 0.056340 0.094406 0.000000 0.000000 0.000000 0.210263 \n", - "4 0.253182 0.145698 0.000000 0.527741 0.000000 0.140829 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.112946 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.159244 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.100070 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.155986 0.155429 0.000000 \n", - "9 0.095272 0.000000 0.283348 0.000000 0.000000 0.040368 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.127918 0.000000 0.000000 \n", - "11 0.000000 0.129370 0.000000 0.000000 0.000000 0.000000 0.125045 \n", - "12 0.000000 0.000000 0.318606 0.000000 0.000000 0.000000 0.075778 \n", - "13 0.000000 0.171704 0.000000 0.000000 0.104793 0.000000 0.115162 \n", - "14 0.193464 0.172135 0.000000 0.472259 0.000000 0.131924 0.000000 \n", - "15 0.000000 0.176736 0.000000 0.000000 0.000000 0.119614 0.158582 \n", - "16 0.000000 0.000000 0.303639 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.105551 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.126920 0.162063 0.000000 \n", - "19 0.204689 0.148017 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.155926 \n", - "21 0.083824 0.000000 0.000000 0.000000 0.000000 0.136827 0.000000 \n", - "\n", - " V309 V310 V311 V312 V313 V314 V315 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.164963 0.000000 0.000000 0.000000 0.000000 0.000000 0.181160 \n", - "2 0.000000 0.000000 0.000000 0.084273 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.450932 0.000000 0.170595 \n", - "4 0.000000 0.000000 0.321890 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.062570 0.459774 0.000000 0.049355 0.000000 0.000000 0.107422 \n", - "6 0.218525 0.000000 0.000000 0.000000 0.549068 0.000000 0.055959 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.111840 0.000000 0.181335 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.163571 0.000000 0.057142 0.133406 \n", - "10 0.129862 0.000000 0.000000 0.000000 0.000000 0.000000 0.169664 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.208650 0.000000 \n", - "12 0.164315 0.000000 0.079065 0.000000 0.000000 0.159974 0.000000 \n", - "13 0.055062 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.060112 0.000000 \n", - "15 0.204703 0.000000 0.000000 0.165566 0.000000 0.231989 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.229472 0.148119 0.000000 0.100798 0.000000 \n", - "18 0.000000 0.000000 0.152062 0.172857 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.217510 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.540226 0.000000 0.104419 0.000000 0.000000 0.181793 \n", - "\n", - " V316 V317 V318 V319 V320 V321 V322 \\\n", - "0 0.000000 0.300226 0.000000 0.000000 0.062110 0.123329 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.078473 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.197365 \n", - "4 0.000000 0.000000 0.071028 0.000000 0.000000 0.082745 0.075664 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.106187 0.156139 0.000000 0.071777 0.000000 0.000000 \n", - "7 0.000000 0.095936 0.000000 0.000000 0.000000 0.190649 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.113787 0.000000 0.345530 0.209277 0.050100 0.151083 \n", - "11 0.403214 0.115295 0.000000 0.000000 0.220639 0.000000 0.068985 \n", - "12 0.000000 0.000000 0.213344 0.411895 0.000000 0.000000 0.111432 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.145866 0.155254 \n", - "14 0.000000 0.106256 0.000000 0.000000 0.165789 0.000000 0.000000 \n", - "15 0.596786 0.000000 0.159178 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.191934 0.153453 0.000000 \n", - "17 0.000000 0.000000 0.242503 0.242575 0.000000 0.098692 0.000000 \n", - "18 0.000000 0.000000 0.157809 0.000000 0.000000 0.000000 0.070589 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.162313 0.000000 0.000000 0.000000 0.155167 0.169628 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V323 V324 V325 V326 V327 V328 V329 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.353526 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.237994 0.000000 0.165022 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.451586 0.000000 0.384448 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.156194 0.000000 0.000000 0.000000 \n", - "5 0.473037 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.257179 0.000000 0.000000 0.000000 0.323979 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.140520 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.214463 0.000000 0.000000 0.627675 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.446370 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.193560 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.548414 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.322495 0.000000 \n", - "19 0.526963 0.339474 0.000000 0.130241 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.165352 0.000000 0.000000 0.169182 0.000000 0.372325 \n", - "\n", - " V330 V331 V332 V333 V334 V335 V336 \\\n", - "0 0.000000 0.000000 0.000000 0.199699 0.000000 0.000000 0.810051 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.144437 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.561177 0.000000 \n", - "5 0.000000 0.182909 0.125668 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.301930 0.259175 0.000000 \n", - "7 0.170039 0.153818 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.083140 0.000000 0.000000 0.151444 0.000000 0.000000 \n", - "9 0.000000 0.118694 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.243356 0.137531 0.000000 0.000000 0.416379 0.000000 0.000000 \n", - "11 0.000000 0.060276 0.187890 0.000000 0.000000 0.179648 0.000000 \n", - "12 0.000000 0.000000 0.323278 0.000000 0.130247 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.097469 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.204528 0.000000 0.000000 0.000000 \n", - "15 0.238384 0.000000 0.000000 0.113024 0.000000 0.000000 0.000000 \n", - "16 0.194852 0.000000 0.000000 0.000000 0.000000 0.000000 0.189949 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.363164 0.179132 0.000000 0.000000 0.000000 \n", - "19 0.153369 0.000000 0.000000 0.081023 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.119194 0.000000 0.125125 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V337 V338 V339 V340 V341 V342 V343 \\\n", - "0 0.000000 0.00000 0.000000 0.000000 0.069774 0.095151 0.000000 \n", - "1 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.218476 \n", - "2 0.334030 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.49858 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.00000 0.000000 0.160755 0.000000 0.000000 0.000000 \n", - "6 0.151790 0.00000 0.000000 0.000000 0.000000 0.200612 0.360852 \n", - "7 0.000000 0.00000 0.000000 0.000000 0.000000 0.169512 0.000000 \n", - "8 0.202859 0.00000 0.000000 0.247140 0.000000 0.107120 0.000000 \n", - "9 0.000000 0.00000 0.000000 0.000000 0.124982 0.000000 0.000000 \n", - "10 0.000000 0.00000 0.000000 0.000000 0.000000 0.059791 0.000000 \n", - "11 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.211085 0.00000 0.455796 0.091425 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.00000 0.000000 0.000000 0.000000 0.185674 0.000000 \n", - "15 0.000000 0.00000 0.000000 0.000000 0.224427 0.000000 0.420672 \n", - "16 0.000000 0.00000 0.544204 0.184011 0.215060 0.000000 0.000000 \n", - "17 0.000000 0.00000 0.000000 0.243137 0.243818 0.182140 0.000000 \n", - "18 0.100236 0.50142 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.00000 0.000000 0.000000 0.121939 0.000000 0.000000 \n", - "20 0.000000 0.00000 0.000000 0.073532 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V344 V345 V346 V347 V348 V349 V350 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.304529 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.496498 0.000000 0.000000 \n", - "4 0.510397 0.469579 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.340031 0.000000 \n", - "6 0.219479 0.530421 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.240924 0.000000 0.000000 0.000000 0.695471 \n", - "9 0.000000 0.000000 0.132901 0.220544 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.137664 0.000000 0.260329 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.239830 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.266896 0.503502 0.238963 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.093460 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.135066 0.000000 0.160676 0.000000 \n", - "18 0.000000 0.000000 0.082370 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.247351 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.270124 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.202994 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V351 V352 V353 V354 V355 V356 V357 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.071677 0.171965 0.000000 0.000000 0.000000 0.000000 0.159733 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.159198 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.084877 0.189264 0.000000 0.119100 0.000000 0.000000 \n", - "6 0.093611 0.133434 0.069867 0.000000 0.000000 0.417013 0.000000 \n", - "7 0.127521 0.000000 0.000000 0.000000 0.279300 0.000000 0.177627 \n", - "8 0.000000 0.154405 0.000000 0.328061 0.000000 0.000000 0.000000 \n", - "9 0.145097 0.000000 0.284849 0.253650 0.000000 0.000000 0.117167 \n", - "10 0.000000 0.000000 0.087938 0.089246 0.000000 0.000000 0.197522 \n", - "11 0.000000 0.165170 0.000000 0.000000 0.130576 0.000000 0.000000 \n", - "12 0.216488 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.095931 0.166066 0.165791 0.096603 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.091688 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.063971 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.130247 0.000000 0.000000 0.138184 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.236237 0.582987 0.000000 \n", - "20 0.243046 0.000000 0.110327 0.000000 0.000000 0.000000 0.188753 \n", - "21 0.102561 0.000000 0.000000 0.163251 0.000000 0.000000 0.000000 \n", - "\n", - " V358 V359 V360 V361 V362 V363 V364 \\\n", - "0 0.000000 0.000000 0.000000 0.174820 0.000000 0.244432 0.000000 \n", - "1 0.109711 0.000000 0.000000 0.000000 0.087602 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.071439 0.000000 0.000000 0.232692 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.198815 0.273803 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.072600 0.000000 0.197348 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.099433 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.199078 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.186960 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.140453 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.223977 \n", - "12 0.128158 0.172812 0.172164 0.000000 0.000000 0.109172 0.000000 \n", - "13 0.157036 0.000000 0.128157 0.000000 0.000000 0.216357 0.442411 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.061717 0.000000 0.260558 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.058367 0.000000 0.138650 0.000000 0.333612 \n", - "17 0.000000 0.000000 0.000000 0.075124 0.226099 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.107168 0.251781 0.146637 0.000000 0.000000 \n", - "19 0.137266 0.000000 0.202172 0.151872 0.000000 0.000000 0.000000 \n", - "20 0.169318 0.640228 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V365 V366 V367 V368 V369 V370 V371 \\\n", - "0 0.000000 0.000000 0.00000 0.113069 0.00000 0.000000 0.000000 \n", - "1 0.000000 0.115612 0.00000 0.000000 0.00000 0.000000 0.000000 \n", - "2 0.000000 0.186727 0.72888 0.000000 0.00000 0.000000 0.182945 \n", - "3 0.000000 0.000000 0.00000 0.000000 0.00000 0.176312 0.000000 \n", - "4 0.000000 0.000000 0.00000 0.000000 0.00000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.00000 0.182969 0.00000 0.179204 0.000000 \n", - "6 0.000000 0.000000 0.00000 0.000000 0.00000 0.000000 0.000000 \n", - "7 0.314942 0.000000 0.00000 0.000000 0.00000 0.000000 0.000000 \n", - "8 0.000000 0.068201 0.00000 0.000000 0.00000 0.178763 0.000000 \n", - "9 0.000000 0.000000 0.00000 0.000000 0.00000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.00000 0.000000 0.00000 0.127750 0.137524 \n", - "11 0.000000 0.000000 0.00000 0.061516 0.00000 0.000000 0.000000 \n", - "12 0.151663 0.000000 0.00000 0.150475 0.24559 0.049543 0.065078 \n", - "13 0.235445 0.165338 0.00000 0.156681 0.75441 0.000000 0.095732 \n", - "14 0.000000 0.000000 0.00000 0.000000 0.00000 0.000000 0.152907 \n", - "15 0.000000 0.176678 0.00000 0.000000 0.00000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.00000 0.000000 0.00000 0.000000 0.000000 \n", - "17 0.000000 0.131322 0.00000 0.000000 0.00000 0.080653 0.000000 \n", - "18 0.297950 0.000000 0.27112 0.125014 0.00000 0.000000 0.115171 \n", - "19 0.000000 0.000000 0.00000 0.000000 0.00000 0.064100 0.059833 \n", - "20 0.000000 0.156123 0.00000 0.000000 0.00000 0.143675 0.190809 \n", - "21 0.000000 0.000000 0.00000 0.210277 0.00000 0.000000 0.000000 \n", - "\n", - " V372 V373 V374 V375 V376 V377 V378 \\\n", - "0 0.000000 0.000000 0.182698 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.060658 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.097965 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.162735 0.000000 0.000000 0.000000 \n", - "5 0.281721 0.000000 0.171824 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.174486 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.193547 0.000000 0.000000 0.000000 \n", - "9 0.412450 0.000000 0.000000 0.080122 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.555469 0.000000 0.000000 \n", - "11 0.305829 0.000000 0.000000 0.000000 0.000000 0.583471 0.336337 \n", - "12 0.000000 0.000000 0.000000 0.117489 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.202563 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.250180 0.000000 0.063985 0.000000 0.416529 0.000000 \n", - "16 0.000000 0.000000 0.096167 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.107458 0.056850 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.116709 0.193225 0.122709 0.000000 0.000000 0.663663 \n", - "19 0.000000 0.000000 0.090005 0.000000 0.444531 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.458625 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V379 V380 V381 V382 V383 V384 V385 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.114095 0.000000 0.212858 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.156522 0.000000 0.000000 \n", - "2 0.000000 0.143692 0.000000 0.000000 0.000000 0.126982 0.000000 \n", - "3 0.104543 0.000000 0.162680 0.000000 0.000000 0.099929 0.000000 \n", - "4 0.119426 0.169787 0.000000 0.295394 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.079849 0.354689 0.201216 0.000000 0.131896 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.209383 0.000000 0.180461 \n", - "9 0.000000 0.121266 0.482631 0.000000 0.000000 0.156847 0.000000 \n", - "10 0.000000 0.122773 0.000000 0.000000 0.000000 0.138766 0.000000 \n", - "11 0.000000 0.080415 0.000000 0.000000 0.000000 0.051749 0.194845 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.227194 0.000000 0.079069 \n", - "15 0.239424 0.173774 0.000000 0.000000 0.000000 0.148251 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.503390 0.194744 0.000000 0.000000 \n", - "17 0.090501 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.262800 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.183306 0.108444 0.000000 0.000000 0.098061 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.078954 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.145581 0.253813 \n", - "\n", - " V386 V387 V388 V389 V390 V391 V392 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.194699 \n", - "1 0.350407 0.000000 0.000000 0.000000 0.37824 0.173669 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.00000 0.066816 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.00000 0.221104 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.00000 0.158640 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.00000 0.110390 0.175408 \n", - "6 0.313669 0.563138 0.000000 0.000000 0.00000 0.000000 0.196159 \n", - "7 0.000000 0.000000 0.000000 0.228360 0.00000 0.000000 0.179900 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 \n", - "10 0.000000 0.436862 0.375802 0.000000 0.00000 0.000000 0.173858 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 \n", - "12 0.335924 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.191170 0.191672 0.00000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.00000 0.109545 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.190032 0.62176 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.00000 0.159835 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.309534 0.00000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.433029 0.000000 0.00000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.079977 \n", - "21 0.000000 0.000000 0.000000 0.080402 0.00000 0.000000 0.000000 \n", - "\n", - " V393 V394 V395 V396 V397 V398 V399 \\\n", - "0 0.000000 0.000000 0.00000 0.000000 0.097762 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.00000 0.000000 0.000000 0.285046 0.000000 \n", - "2 0.000000 0.000000 0.00000 0.279042 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.113128 \n", - "4 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.525303 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.00000 0.363066 0.000000 0.000000 0.072643 \n", - "7 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.00000 0.000000 0.154043 0.000000 0.000000 \n", - "9 0.474697 0.000000 0.00000 0.000000 0.000000 0.142872 0.131244 \n", - "10 0.000000 0.000000 0.00000 0.000000 0.097239 0.000000 0.240268 \n", - "11 0.000000 0.000000 0.00000 0.000000 0.000000 0.227343 0.000000 \n", - "12 0.000000 0.182838 0.00000 0.000000 0.164638 0.000000 0.000000 \n", - "13 0.000000 0.266371 0.00000 0.087081 0.068371 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.58837 0.000000 0.000000 0.253277 0.118004 \n", - "16 0.000000 0.550791 0.00000 0.000000 0.067465 0.000000 0.157416 \n", - "17 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.167297 \n", - "18 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.41163 0.270811 0.181119 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.00000 0.000000 0.169363 0.091460 0.000000 \n", - "\n", - " V400 V401 V402 V403 V404 V405 V406 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.200858 \n", - "1 0.000000 0.241572 0.000000 0.000000 0.000000 0.329742 0.000000 \n", - "2 0.000000 0.000000 0.078140 0.169090 0.064034 0.000000 0.000000 \n", - "3 0.121958 0.000000 0.054258 0.156427 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.057584 0.072251 0.000000 0.000000 \n", - "5 0.150034 0.000000 0.192181 0.089894 0.000000 0.000000 0.268045 \n", - "6 0.000000 0.000000 0.200030 0.000000 0.163213 0.000000 0.000000 \n", - "7 0.239069 0.057815 0.150027 0.135856 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.137302 0.098684 0.000000 0.000000 \n", - "9 0.151114 0.000000 0.000000 0.000000 0.121643 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.178801 0.000000 0.288020 0.000000 \n", - "11 0.000000 0.000000 0.103256 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.106928 \n", - "13 0.000000 0.133077 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.168655 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.101329 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.162157 0.000000 \n", - "17 0.000000 0.085089 0.000000 0.000000 0.183069 0.000000 0.174404 \n", - "18 0.000000 0.239854 0.120780 0.000000 0.000000 0.220081 0.000000 \n", - "19 0.096960 0.242593 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.075046 0.000000 0.000000 0.249766 \n", - "21 0.240864 0.000000 0.000000 0.000000 0.128451 0.000000 0.000000 \n", - "\n", - " V407 V408 V409 V410 V411 V412 V413 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.228980 0.00000 0.000000 \n", - "1 0.085169 0.197119 0.000000 0.288802 0.063822 0.00000 0.000000 \n", - "2 0.000000 0.269919 0.135771 0.181572 0.000000 0.00000 0.000000 \n", - "3 0.000000 0.172742 0.000000 0.000000 0.142550 0.00000 0.000000 \n", - "4 0.000000 0.000000 0.292542 0.000000 0.213419 0.00000 0.076501 \n", - "5 0.161024 0.000000 0.000000 0.333134 0.000000 0.00000 0.000000 \n", - "6 0.173591 0.000000 0.000000 0.000000 0.000000 0.00000 0.082882 \n", - "7 0.000000 0.147563 0.000000 0.000000 0.000000 0.53159 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 \n", - "9 0.100340 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 \n", - "10 0.109957 0.000000 0.000000 0.196492 0.000000 0.00000 0.000000 \n", - "11 0.000000 0.000000 0.306934 0.000000 0.000000 0.00000 0.000000 \n", - "12 0.127110 0.000000 0.000000 0.000000 0.000000 0.00000 0.262620 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.160355 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.149086 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 \n", - "16 0.000000 0.212657 0.000000 0.000000 0.147445 0.46841 0.075539 \n", - "17 0.103272 0.000000 0.264753 0.000000 0.114046 0.00000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 \n", - "20 0.139537 0.000000 0.000000 0.000000 0.000000 0.00000 0.131730 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.089739 0.00000 0.061287 \n", - "\n", - " V414 V415 V416 V417 V418 V419 V420 \\\n", - "0 0.380128 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.624878 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.215967 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.496086 0.000000 0.000000 0.201804 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.195302 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.171893 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.246888 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.187631 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.268548 \n", - "10 0.000000 0.503914 0.000000 0.209138 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.203229 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.171998 0.000000 0.254947 \n", - "14 0.157017 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.194874 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.530624 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.262301 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.138729 0.107906 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.255991 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.469376 0.476505 \n", - "21 0.000000 0.000000 0.000000 0.074327 0.000000 0.000000 0.000000 \n", - "\n", - " V421 V422 V423 V424 V425 V426 V427 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.269659 0.239466 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.152796 0.000000 0.000000 0.000000 \n", - "4 0.404182 0.000000 0.375635 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.218037 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.358834 0.126691 0.000000 0.000000 0.000000 0.000000 0.094697 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.285820 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.322972 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.132927 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.345080 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.192111 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.288384 0.148523 0.000000 0.000000 0.295556 0.142735 \n", - "16 0.000000 0.000000 0.000000 0.385434 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.418624 0.227524 \n", - "18 0.236983 0.305590 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.184080 \n", - "20 0.000000 0.279335 0.130762 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.437562 0.000000 0.000000 \n", - "\n", - " V428 V429 V430 V431 V432 V433 V434 \\\n", - "0 0.078299 0.000000 0.000000 0.000000 0.197373 0.000000 0.000000 \n", - "1 0.173102 0.081640 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.259882 0.000000 0.207656 0.159199 0.000000 0.000000 \n", - "3 0.000000 0.137564 0.000000 0.064685 0.099829 0.000000 0.000000 \n", - "4 0.000000 0.304963 0.000000 0.000000 0.195458 0.171321 0.154816 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.232428 \n", - "8 0.132428 0.000000 0.000000 0.000000 0.000000 0.049176 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.048089 0.000000 \n", - "10 0.000000 0.000000 0.377998 0.000000 0.000000 0.168925 0.000000 \n", - "11 0.000000 0.122985 0.000000 0.000000 0.092810 0.000000 0.343748 \n", - "12 0.127294 0.000000 0.000000 0.139263 0.000000 0.151144 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.136741 0.000000 0.123972 0.000000 \n", - "14 0.000000 0.000000 0.407214 0.154186 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.111173 0.057451 0.000000 0.162610 \n", - "16 0.125453 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.105615 0.000000 0.000000 0.117712 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.092966 0.000000 0.068583 0.000000 0.110843 0.106397 \n", - "19 0.161746 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.096064 0.000000 0.000000 0.000000 0.133225 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.214788 0.000000 0.064655 0.176529 0.000000 \n", - "\n", - " V435 V436 V437 V438 V439 V440 V441 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.084861 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.787312 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.168542 0.000000 0.000000 0.000000 0.141866 0.087044 \n", - "3 0.000000 0.201302 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.139758 0.167128 \n", - "5 0.070206 0.000000 0.000000 0.000000 0.148964 0.094955 0.000000 \n", - "6 0.000000 0.109508 0.000000 0.000000 0.063039 0.000000 0.171504 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.563053 0.000000 0.000000 0.146641 0.000000 \n", - "9 0.141781 0.000000 0.000000 0.000000 0.000000 0.130457 0.280734 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.120698 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.199903 \n", - "12 0.000000 0.150321 0.000000 0.000000 0.160060 0.102525 0.000000 \n", - "13 0.093061 0.145361 0.000000 0.000000 0.000000 0.123100 0.000000 \n", - "14 0.159098 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.272769 0.000000 0.093687 \n", - "16 0.175087 0.167045 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.212688 0.000000 0.000000 0.000000 \n", - "18 0.209499 0.057922 0.436947 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.270307 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.151268 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V442 V443 V444 V445 V446 V447 V448 \\\n", - "0 0.063054 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.200585 0.000000 0.163279 0.000000 0.000000 0.376474 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.095343 \n", - "3 0.000000 0.000000 0.118181 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.146396 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.146172 0.114809 \n", - "7 0.246417 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.083962 \n", - "9 0.000000 0.589902 0.000000 0.000000 0.459599 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.273715 0.256461 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.057561 0.178981 0.000000 0.000000 0.294504 \n", - "12 0.283832 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.206113 0.000000 0.233216 0.121418 0.137545 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.087393 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.175918 0.119971 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.194533 0.184817 \n", - "18 0.000000 0.410098 0.000000 0.338493 0.000000 0.106903 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.211544 0.000000 0.000000 0.000000 0.106595 \n", - "21 0.000000 0.000000 0.216219 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V449 V450 V451 V452 V453 V454 V455 \\\n", - "0 0.172369 0.118732 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.170201 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.074320 0.000000 0.196845 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.158943 0.000000 0.000000 0.000000 \n", - "5 0.291397 0.000000 0.000000 0.165280 0.193306 0.000000 0.000000 \n", - "6 0.000000 0.175250 0.297291 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.071058 0.000000 0.000000 0.000000 0.000000 0.155017 \n", - "9 0.000000 0.000000 0.000000 0.081740 0.442453 0.000000 0.000000 \n", - "10 0.135097 0.000000 0.000000 0.000000 0.000000 0.000000 0.381363 \n", - "11 0.000000 0.000000 0.000000 0.146618 0.000000 0.046608 0.000000 \n", - "12 0.000000 0.164604 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.215707 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.401136 0.182144 0.110516 0.000000 0.000000 0.211732 0.000000 \n", - "15 0.000000 0.000000 0.132071 0.189558 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.192857 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.173011 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.072504 0.000000 0.000000 0.000000 0.000000 0.160450 \n", - "20 0.000000 0.000000 0.000000 0.125814 0.364241 0.178947 0.000000 \n", - "21 0.000000 0.000000 0.289921 0.057726 0.000000 0.000000 0.303170 \n", - "\n", - " V456 V457 V458 V459 V460 V461 V462 \\\n", - "0 0.076587 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.215196 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.121167 0.000000 0.000000 0.172217 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.328746 0.363949 0.177689 0.000000 \n", - "5 0.129340 0.217800 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.235705 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.243696 0.671254 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.164135 0.000000 0.435522 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.269551 \n", - "13 0.193045 0.000000 0.000000 0.000000 0.000000 0.000000 0.212879 \n", - "14 0.185646 0.000000 0.000000 0.000000 0.000000 0.095890 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.235297 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.156338 0.080947 0.000000 0.000000 0.000000 0.251667 0.188932 \n", - "18 0.000000 0.223459 0.000000 0.000000 0.000000 0.000000 0.181316 \n", - "19 0.259042 0.235191 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.200529 0.087341 0.147322 \n", - "21 0.000000 0.242603 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V463 V464 V465 V466 V467 V468 V469 \\\n", - "0 0.400759 0.000000 0.156242 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.337976 0.190952 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.071949 0.000000 0.000000 0.000000 0.215499 \n", - "3 0.000000 0.000000 0.220359 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.599241 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.220157 0.264909 0.110061 0.353392 0.000000 \n", - "6 0.000000 0.075075 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.113937 0.000000 0.000000 0.000000 0.157687 0.000000 \n", - "8 0.000000 0.143772 0.192249 0.278298 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.219579 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.193425 0.000000 0.280935 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.142218 0.000000 0.000000 0.143381 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.203155 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.196474 0.000000 0.000000 0.115966 0.000000 0.000000 \n", - "17 0.000000 0.125368 0.139045 0.000000 0.000000 0.344526 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.118817 0.000000 0.000000 0.283988 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.051354 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.194861 0.144395 0.000000 \n", - "\n", - " V470 V471 V472 V473 V474 V475 V476 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.136867 0.000000 0.661693 0.000000 0.000000 0.132474 \n", - "2 0.186502 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.225183 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.561102 0.247612 0.274244 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.250119 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.219520 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.137529 0.276721 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.104234 0.000000 0.000000 0.000000 0.000000 0.246288 0.000000 \n", - "12 0.122289 0.185709 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.226502 0.000000 0.000000 0.197063 0.123642 \n", - "14 0.196649 0.000000 0.000000 0.000000 0.438898 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.290365 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.145661 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.338307 0.000000 0.309037 0.000000 \n", - "19 0.082466 0.000000 0.206413 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.076191 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.231669 0.169051 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V477 V478 V479 V480 V481 V482 V483 \\\n", - "0 0.179816 0.000000 0.000000 0.073850 0.000000 0.136845 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.093299 0.171670 0.000000 0.000000 \n", - "2 0.067077 0.000000 0.216138 0.000000 0.134765 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.131207 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.182178 0.000000 0.169626 0.000000 0.000000 0.000000 0.076555 \n", - "7 0.000000 0.000000 0.097390 0.000000 0.000000 0.153176 0.209066 \n", - "8 0.000000 0.000000 0.000000 0.177497 0.000000 0.082786 0.000000 \n", - "9 0.000000 0.261677 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.348143 0.000000 0.000000 0.140011 0.000000 0.179463 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.162684 0.000000 0.000000 \n", - "12 0.000000 0.215804 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.275668 0.000000 0.194019 0.000000 \n", - "14 0.000000 0.000000 0.239089 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.127755 0.000000 0.000000 0.000000 \n", - "16 0.130401 0.000000 0.000000 0.000000 0.106775 0.186920 0.123805 \n", - "17 0.000000 0.000000 0.000000 0.165315 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.277758 0.000000 0.141878 0.000000 0.187299 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.045787 0.000000 0.105847 \n", - "20 0.182244 0.000000 0.000000 0.000000 0.096429 0.246254 0.000000 \n", - "21 0.127077 0.174377 0.000000 0.086617 0.000000 0.000000 0.117965 \n", - "\n", - " V484 V485 V486 V487 V488 V489 V490 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.132183 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.100395 \n", - "2 0.112418 0.000000 0.000000 0.000000 0.243681 0.000000 0.203057 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.265685 0.314344 0.000000 \n", - "4 0.000000 0.151574 0.000000 0.000000 0.000000 0.448417 0.000000 \n", - "5 0.138155 0.192459 0.000000 0.000000 0.000000 0.000000 0.328282 \n", - "6 0.000000 0.133870 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.237239 0.000000 \n", - "8 0.000000 0.150539 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.111486 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.125117 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.126655 0.000000 0.000000 0.714733 0.000000 0.000000 0.000000 \n", - "13 0.067880 0.131147 0.000000 0.285267 0.000000 0.000000 0.078296 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.289971 \n", - "15 0.132429 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.151117 0.107033 0.287675 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.159861 0.133377 0.000000 0.000000 0.233334 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.712325 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V491 V492 V493 V494 V495 V496 V497 \\\n", - "0 0.175890 0.000000 0.000000 0.139681 0.218668 0.000000 0.694499 \n", - "1 0.000000 0.000000 0.000000 0.096226 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.128718 0.000000 0.180781 0.190932 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.152154 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.215025 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.187536 0.170204 0.085501 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.113393 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.182773 0.194254 0.000000 0.000000 0.213855 0.000000 \n", - "9 0.088126 0.000000 0.000000 0.000000 0.217148 0.000000 0.000000 \n", - "10 0.000000 0.069896 0.188548 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.173328 0.000000 0.000000 0.000000 0.000000 0.215107 0.000000 \n", - "12 0.048193 0.000000 0.000000 0.055123 0.165682 0.000000 0.000000 \n", - "13 0.181232 0.116407 0.000000 0.088632 0.148702 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.305501 \n", - "15 0.145697 0.000000 0.145482 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.146764 0.000000 0.176737 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.144104 0.000000 0.000000 0.087714 0.000000 \n", - "18 0.000000 0.066461 0.000000 0.071348 0.000000 0.077368 0.000000 \n", - "19 0.000000 0.116171 0.000000 0.220099 0.069019 0.000000 0.000000 \n", - "20 0.000000 0.131324 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V498 V499 V500 V501 V502 V503 V504 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.273301 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.151133 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.189345 \n", - "4 0.000000 0.000000 0.241057 0.000000 0.000000 0.156869 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.149473 0.000000 \n", - "8 0.000000 0.000000 0.259100 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.122409 0.000000 0.000000 0.133068 0.098741 0.000000 \n", - "10 0.000000 0.000000 0.160788 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.573858 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.113360 0.000000 0.000000 0.000000 0.081509 0.083540 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.119341 0.000000 \n", - "14 0.000000 0.097443 0.000000 0.000000 0.000000 0.000000 0.225577 \n", - "15 0.000000 0.123143 0.000000 0.000000 0.000000 0.000000 0.120048 \n", - "16 0.000000 0.113100 0.339054 0.426142 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.094355 0.000000 0.000000 0.450541 0.000000 0.230358 \n", - "18 0.000000 0.200905 0.000000 0.000000 0.000000 0.175898 0.000000 \n", - "19 0.726699 0.000000 0.000000 0.000000 0.000000 0.113288 0.000000 \n", - "20 0.000000 0.135285 0.000000 0.000000 0.416392 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.104881 0.000000 \n", - "\n", - " V505 V506 V507 V508 V509 V510 V511 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.127667 0.000000 \n", - "1 0.000000 0.000000 0.283422 0.000000 0.698352 0.000000 0.214172 \n", - "2 0.000000 0.351754 0.000000 0.419172 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.184184 0.000000 0.000000 0.000000 0.098465 0.080684 \n", - "4 0.120012 0.000000 0.265990 0.000000 0.000000 0.050828 0.000000 \n", - "5 0.000000 0.464062 0.000000 0.000000 0.000000 0.208084 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.224912 0.244400 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.168062 0.000000 \n", - "10 0.092196 0.000000 0.000000 0.336428 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.211653 0.000000 \n", - "12 0.134103 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.102558 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.052171 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.174850 \n", - "16 0.220626 0.000000 0.000000 0.000000 0.000000 0.000000 0.161588 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.301648 0.000000 0.154508 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.171245 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.142686 0.000000 0.000000 0.000000 0.000000 0.135241 0.000000 \n", - "21 0.119133 0.000000 0.225676 0.000000 0.000000 0.000000 0.059468 \n", - "\n", - " V512 V513 V514 V515 V516 V517 V518 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.456199 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.254111 0.000000 \n", - "2 0.234211 0.000000 0.000000 0.000000 0.425958 0.000000 0.195444 \n", - "3 0.167466 0.000000 0.000000 0.000000 0.000000 0.000000 0.133337 \n", - "4 0.086242 0.000000 0.406434 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.063301 0.558748 0.000000 0.000000 0.000000 0.277905 0.491550 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.070880 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.593566 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.169843 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.105280 0.000000 \n", - "14 0.150979 0.441252 0.000000 0.000000 0.000000 0.000000 0.179669 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.357199 0.000000 0.000000 0.000000 \n", - "18 0.127959 0.000000 0.000000 0.000000 0.000000 0.086843 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.366533 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.276268 0.117842 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.204982 0.000000 \n", - "\n", - " V519 V520 V521 V522 V523 V524 V525 \\\n", - "0 0.000000 0.000000 0.113317 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.217178 0.000000 0.000000 0.000000 0.000000 0.229391 0.129173 \n", - "2 0.000000 0.000000 0.166043 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.111267 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.102781 0.000000 0.000000 0.000000 0.000000 0.000000 0.093473 \n", - "5 0.000000 0.132396 0.226252 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.298498 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.186165 0.000000 0.000000 0.241089 \n", - "8 0.000000 0.000000 0.000000 0.230335 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.194414 0.056737 \n", - "10 0.167059 0.240672 0.000000 0.232696 0.203506 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.095557 0.097945 0.000000 0.113664 0.097036 \n", - "12 0.000000 0.000000 0.230619 0.100466 0.320246 0.000000 0.000000 \n", - "13 0.115829 0.000000 0.000000 0.152394 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.265562 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.247521 \n", - "16 0.166815 0.133572 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.094272 0.000000 0.000000 0.000000 0.255315 0.000000 0.000000 \n", - "19 0.136066 0.000000 0.000000 0.000000 0.220932 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.056946 0.000000 0.000000 0.098978 0.000000 \n", - "21 0.000000 0.194861 0.000000 0.000000 0.000000 0.097991 0.134971 \n", - "\n", - " V526 V527 V528 V529 V530 V531 V532 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.224500 0.000000 \n", - "2 0.125458 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.694038 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.044812 0.000000 0.000000 0.000000 0.177229 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.192040 0.000000 0.000000 0.000000 0.136479 0.000000 0.204939 \n", - "7 0.166160 0.000000 0.219128 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.158194 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.181549 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.152297 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.416795 0.000000 0.072279 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.209581 0.227268 0.105111 0.161304 0.000000 \n", - "15 0.000000 0.305962 0.206947 0.000000 0.000000 0.229688 0.433959 \n", - "16 0.117305 0.000000 0.239400 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.190924 0.000000 0.124943 0.174534 0.089140 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.131917 0.000000 \n", - "19 0.057179 0.000000 0.000000 0.000000 0.000000 0.000000 0.361101 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - 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"12 0.000000 0.137980 0.000000 0.255817 0.000000 0.000000 0.464326 \n", - "13 0.000000 0.000000 0.297345 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.213587 0.167250 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.352065 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.089752 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.179884 0.000000 0.000000 \n", - "19 0.000000 0.164088 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.221948 0.197542 0.000000 0.000000 0.163589 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.061386 0.000000 \n", - "\n", - " V540 V541 V542 V543 V544 V545 V546 \\\n", - "0 0.131529 0.123068 0.000000 0.160476 0.058226 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.057787 0.088902 0.238090 0.000000 0.000000 \n", - "2 0.000000 0.273867 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.156573 0.000000 0.000000 \n", - "5 0.107483 0.000000 0.063102 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.139331 0.000000 0.000000 0.000000 \n", - "7 0.263168 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.092298 0.000000 0.100243 0.133120 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.117767 0.196663 0.000000 0.000000 0.310083 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.106498 0.000000 0.195334 0.000000 \n", - "12 0.000000 0.116954 0.190922 0.054387 0.000000 0.216531 0.000000 \n", - "13 0.000000 0.000000 0.072340 0.000000 0.175030 0.000000 0.000000 \n", - "14 0.197425 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.300394 0.000000 0.000000 0.163261 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.127232 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.276046 0.000000 0.000000 0.111728 0.000000 0.559005 \n", - "19 0.000000 0.000000 0.198665 0.000000 0.000000 0.000000 0.440995 \n", - "20 0.000000 0.000000 0.174138 0.000000 0.000000 0.278052 0.000000 \n", - "21 0.000000 0.000000 0.046383 0.186903 0.000000 0.000000 0.000000 \n", - "\n", - " V547 V548 V549 V550 V551 V552 V553 \\\n", - "0 0.163217 0.066873 0.000000 0.105533 0.381245 0.000000 0.000000 \n", - "1 0.101525 0.279269 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.177694 0.000000 0.196058 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.205380 0.000000 0.000000 0.000000 0.000000 0.514623 0.000000 \n", - "4 0.152729 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.130521 0.341195 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.104748 \n", - "7 0.000000 0.000000 0.000000 0.136632 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.172791 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.041702 0.000000 0.137869 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.204384 0.127357 0.000000 0.000000 0.000000 \n", - "11 0.077978 0.000000 0.000000 0.000000 0.154017 0.000000 0.000000 \n", - "12 0.000000 0.206208 0.000000 0.000000 0.000000 0.000000 0.178035 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.207129 0.000000 0.182508 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.147352 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.135421 0.000000 0.000000 \n", - "16 0.000000 0.211773 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.079774 0.235877 0.158378 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.146783 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.485377 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.070113 \n", - "21 0.000000 0.000000 0.000000 0.289283 0.122188 0.000000 0.170461 \n", - "\n", - " V554 V555 V556 V557 V558 V559 V560 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.146437 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.118865 0.000000 0.000000 0.094186 0.000000 0.000000 \n", - "3 0.180171 0.000000 0.164707 0.000000 0.167619 0.000000 0.000000 \n", - "4 0.260446 0.178586 0.000000 0.000000 0.000000 0.000000 0.213331 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.339620 \n", - "6 0.142389 0.000000 0.000000 0.000000 0.000000 0.161334 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.187241 0.000000 0.000000 \n", - "8 0.000000 0.114654 0.000000 0.271443 0.168568 0.000000 0.000000 \n", - "9 0.000000 0.158908 0.060288 0.181770 0.000000 0.161130 0.000000 \n", - "10 0.000000 0.159939 0.280954 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.196888 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.127668 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.122610 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.330150 0.000000 0.140126 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.216637 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.183245 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.159885 0.447049 \n", - "18 0.173643 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.044994 0.000000 \n", - "20 0.243352 0.000000 0.130485 0.000000 0.081590 0.059946 0.000000 \n", - "21 0.000000 0.000000 0.235899 0.000000 0.103909 0.089341 0.000000 \n", - "\n", - " V561 V562 V563 V564 V565 V566 V567 \\\n", - "0 0.211257 0.000000 0.000000 0.000000 0.000000 0.000000 0.138059 \n", - "1 0.000000 0.000000 0.000000 0.155033 0.301630 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.301465 0.000000 \n", - "3 0.000000 0.000000 0.382681 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.077328 0.000000 0.000000 0.000000 \n", - "5 0.090722 0.000000 0.201068 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.146110 0.000000 \n", - "8 0.000000 0.000000 0.172606 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.119276 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.155131 0.000000 0.135945 0.000000 \n", - "11 0.241993 0.000000 0.000000 0.000000 0.205775 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.156307 0.000000 0.218523 0.412600 \n", - "13 0.000000 0.000000 0.243645 0.000000 0.226353 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.266241 0.000000 0.000000 \n", - "15 0.000000 0.237221 0.000000 0.048782 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.146568 0.000000 0.000000 0.000000 \n", - "17 0.227211 0.000000 0.000000 0.000000 0.000000 0.197957 0.000000 \n", - "18 0.228817 0.000000 0.000000 0.000000 0.000000 0.000000 0.150617 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.298724 \n", - "20 0.000000 0.425729 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.337050 0.000000 0.141574 0.000000 0.000000 0.000000 \n", - "\n", - " V568 V569 V570 V571 V572 V573 V574 \\\n", - "0 0.127648 0.145352 0.129763 0.000000 0.076410 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.051867 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.104163 0.000000 0.123416 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.162579 0.000000 0.173669 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.060791 0.000000 0.175395 0.000000 0.099268 0.392339 \n", - "6 0.000000 0.122963 0.000000 0.261940 0.000000 0.167001 0.607661 \n", - "7 0.000000 0.121814 0.132188 0.000000 0.104647 0.125610 0.000000 \n", - "8 0.000000 0.189107 0.134169 0.000000 0.216902 0.184196 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.089263 0.085158 0.000000 \n", - "10 0.000000 0.155038 0.000000 0.000000 0.116221 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.110926 0.239671 0.000000 0.000000 0.000000 \n", - "12 0.076035 0.000000 0.141577 0.000000 0.222887 0.084205 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.096875 0.000000 \n", - "14 0.187328 0.000000 0.136930 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.069112 0.000000 0.000000 0.000000 \n", - "16 0.204867 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.214494 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.130466 0.000000 0.157688 0.000000 \n", - "20 0.189628 0.100773 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V575 V576 V577 V578 V579 V580 V581 \\\n", - "0 0.000000 0.181255 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.164245 0.162807 \n", - "2 0.000000 0.223504 0.000000 0.000000 0.000000 0.000000 0.280257 \n", - "3 0.000000 0.000000 0.000000 0.071422 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.112732 0.000000 0.151704 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.203121 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.276406 0.145217 0.000000 0.000000 0.000000 \n", - "8 0.554691 0.104827 0.336571 0.000000 0.000000 0.093777 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.183902 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.216932 0.155644 0.113165 \n", - "12 0.445309 0.230311 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.265549 0.462354 0.126345 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.320714 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.111811 0.000000 \n", - "16 0.000000 0.078398 0.000000 0.125309 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.033262 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.279770 0.000000 0.000000 0.113866 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.163213 0.329905 \n", - "21 0.000000 0.181704 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V582 V583 V584 V585 V586 V587 V588 \\\n", - "0 0.000000 0.147599 0.000000 0.000000 0.000000 0.000000 0.147949 \n", - "1 0.000000 0.076833 0.102127 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.289896 0.000000 0.000000 0.121224 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.145190 0.049990 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.386144 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.204044 0.000000 0.000000 0.000000 0.252510 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.477713 0.000000 \n", - "8 0.000000 0.190679 0.000000 0.000000 0.000000 0.325216 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.205718 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.164313 0.171056 0.000000 0.613856 0.000000 0.000000 \n", - "11 0.289739 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.187167 0.142909 0.000000 0.000000 0.207378 \n", - "13 0.000000 0.000000 0.000000 0.088038 0.000000 0.000000 0.098475 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.420365 0.100406 0.000000 0.081698 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.146038 0.080530 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.112511 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.052951 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.174980 0.086626 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.167373 0.000000 0.197072 0.089517 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.204172 \n", - "\n", - " V589 V590 V591 V592 V593 V594 V595 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.175319 0.000000 0.000000 \n", - "4 0.000000 0.202498 0.060187 0.000000 0.061431 0.000000 0.000000 \n", - "5 0.000000 0.451636 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.144070 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.143508 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.160204 0.179573 0.076995 0.000000 \n", - "9 0.311855 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.242895 0.000000 \n", - "12 0.000000 0.000000 0.228988 0.156883 0.000000 0.000000 0.263408 \n", - "13 0.688145 0.000000 0.273410 0.200160 0.000000 0.000000 0.202196 \n", - "14 0.000000 0.000000 0.000000 0.125599 0.126996 0.148337 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.095655 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.060037 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.278549 0.213646 0.000000 0.000000 0.235222 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.175354 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.158867 0.000000 0.000000 0.137245 0.000000 \n", - "20 0.000000 0.345865 0.000000 0.000000 0.000000 0.195099 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.077220 0.103774 0.299173 \n", - "\n", - " V596 V597 V598 V599 V600 V601 V602 \\\n", - "0 0.228451 0.000000 0.000000 0.000000 0.357917 0.000000 0.000000 \n", - 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"10 0.000000 0.000000 0.000000 0.100629 0.298825 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.430416 0.171878 0.000000 0.000000 0.000000 \n", - "13 0.162564 0.000000 0.000000 0.000000 0.000000 0.107854 0.000000 \n", - "14 0.395766 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.183914 0.000000 0.373457 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.355909 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.701175 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.452036 0.000000 0.000000 0.000000 0.000000 0.179619 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.162771 \n", - "21 0.342886 0.000000 0.000000 0.143884 0.000000 0.162779 0.000000 \n", - "\n", - " V673 V674 V675 V676 V677 V678 V679 \\\n", - "0 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.079424 0.47536 0.000000 0.000000 0.000000 0.065262 \n", - "2 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.063146 \n", - "3 0.000000 0.122321 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.00000 0.134110 0.188908 0.000000 0.127249 \n", - "5 0.000000 0.000000 0.00000 0.141411 0.000000 0.000000 0.063830 \n", - "6 0.257032 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.297008 0.000000 0.00000 0.294294 0.000000 0.000000 0.000000 \n", - "8 0.119094 0.124343 0.00000 0.000000 0.168736 0.183550 0.000000 \n", - "9 0.000000 0.000000 0.00000 0.000000 0.000000 0.140071 0.000000 \n", - "10 0.000000 0.147400 0.00000 0.000000 0.000000 0.000000 0.255351 \n", - "11 0.000000 0.000000 0.52464 0.252305 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.144718 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.00000 0.000000 0.000000 0.191823 0.000000 \n", - "14 0.000000 0.000000 0.00000 0.000000 0.000000 0.224216 0.239499 \n", - "15 0.000000 0.000000 0.00000 0.000000 0.000000 0.168351 0.000000 \n", - "16 0.000000 0.000000 0.00000 0.000000 0.000000 0.091990 0.104592 \n", - "17 0.068080 0.165239 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.258786 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.140350 0.00000 0.000000 0.268760 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.00000 0.000000 0.263617 0.000000 0.000000 \n", - "21 0.000000 0.076205 0.00000 0.177880 0.109979 0.000000 0.081070 \n", - "\n", - " V680 V681 V682 V683 V684 V685 V686 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.261956 0.000000 \n", - "1 0.000000 0.000000 0.141920 0.146373 0.000000 0.069731 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.062655 0.000000 0.275015 \n", - "3 0.000000 0.000000 0.057249 0.000000 0.176426 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.108613 0.184874 0.000000 0.000000 \n", - "5 0.000000 0.183151 0.153267 0.000000 0.000000 0.000000 0.255823 \n", - "6 0.000000 0.090524 0.095190 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.395298 0.000000 0.048521 0.000000 0.000000 0.144216 0.072733 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.180909 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.055614 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.102155 0.118952 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.191590 0.000000 0.000000 0.000000 0.185309 0.000000 \n", - "14 0.000000 0.000000 0.207333 0.178692 0.000000 0.088867 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.188533 0.000000 0.000000 0.325699 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.252379 0.000000 0.000000 \n", - "17 0.454582 0.139580 0.000000 0.000000 0.000000 0.249920 0.070731 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.194366 0.127280 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.152087 0.000000 0.131558 0.075311 0.000000 0.000000 \n", - "21 0.150120 0.187455 0.000000 0.000000 0.067444 0.000000 0.000000 \n", - "\n", - " V687 V688 V689 V690 V691 V692 V693 \\\n", - "0 0.068840 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.120136 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.239201 0.000000 0.000000 \n", - "3 0.087822 0.121466 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.312324 0.000000 0.144202 0.371425 0.189281 \n", - "5 0.000000 0.000000 0.000000 0.297216 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.076497 0.000000 0.000000 \n", - "7 0.176339 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.323998 0.146358 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.310184 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.105575 0.000000 0.000000 \n", - "13 0.000000 0.068936 0.239038 0.000000 0.000000 0.290932 0.000000 \n", - "14 0.269122 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.148422 0.000000 0.000000 0.206719 0.000000 0.337643 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.124950 0.000000 0.000000 0.000000 0.000000 0.382807 \n", - "18 0.000000 0.230532 0.000000 0.000000 0.135342 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.138454 0.000000 0.152826 0.000000 0.427912 \n", - "20 0.131424 0.231823 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.118031 0.102155 0.000000 0.172067 0.000000 0.000000 0.000000 \n", - "\n", - " V694 V695 V696 V697 V698 V699 V700 \\\n", - "0 0.137848 0.660595 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.107815 0.218892 0.000000 0.000000 \n", - "2 0.134601 0.000000 0.145518 0.163495 0.000000 0.000000 0.333181 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.067446 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.098065 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.165819 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.157150 0.000000 0.089178 0.000000 \n", - "9 0.000000 0.339405 0.221214 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.283224 0.000000 0.000000 \n", - "11 0.126322 0.000000 0.421734 0.152887 0.000000 0.000000 0.238048 \n", - "12 0.178969 0.000000 0.000000 0.000000 0.000000 0.262601 0.000000 \n", - "13 0.203990 0.000000 0.000000 0.000000 0.000000 0.350115 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.107575 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.332065 0.000000 0.164064 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.130915 \n", - "19 0.218270 0.000000 0.000000 0.145568 0.000000 0.298106 0.000000 \n", - "20 0.000000 0.000000 0.211534 0.000000 0.000000 0.000000 0.133792 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V701 V702 V703 V704 V705 V706 V707 \\\n", - "0 0.241683 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.132833 0.000000 0.000000 0.000000 0.000000 0.425603 \n", - "2 0.144890 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.185008 0.154064 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.115625 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.158477 0.000000 0.000000 0.300184 0.301127 \n", - "6 0.000000 0.158296 0.214404 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.291387 0.131133 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.400641 0.000000 0.000000 0.000000 \n", - "9 0.077025 0.000000 0.066992 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.131049 0.078546 0.000000 0.000000 0.127048 0.000000 0.000000 \n", - "11 0.224303 0.000000 0.209560 0.000000 0.149850 0.401446 0.000000 \n", - "12 0.000000 0.000000 0.124566 0.000000 0.000000 0.000000 0.133121 \n", - "13 0.000000 0.000000 0.000000 0.344821 0.043950 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.102583 0.000000 0.000000 \n", - "16 0.181049 0.000000 0.000000 0.000000 0.087081 0.000000 0.140149 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.207857 0.000000 0.000000 0.000000 0.144306 0.000000 \n", - "19 0.000000 0.131081 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.254538 0.188855 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.094869 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V708 V709 V710 V711 V712 V713 V714 \\\n", - "0 0.000000 0.000000 0.000000 0.176076 0.278198 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.239887 0.191811 0.000000 0.000000 \n", - "2 0.000000 0.224735 0.000000 0.000000 0.000000 0.187464 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.175600 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.077847 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.143140 0.000000 0.000000 0.120326 0.000000 \n", - "6 0.000000 0.085487 0.000000 0.000000 0.000000 0.052539 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.095378 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.175728 0.000000 \n", - "10 0.124287 0.000000 0.139612 0.000000 0.196974 0.117466 0.000000 \n", - "11 0.152859 0.244969 0.357862 0.000000 0.000000 0.000000 0.362431 \n", - "12 0.163250 0.063671 0.000000 0.241474 0.000000 0.181020 0.294417 \n", - "13 0.000000 0.000000 0.150632 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.224737 0.251129 0.208754 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.056497 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.123949 0.114720 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.053913 0.000000 0.000000 0.000000 \n", - "20 0.239489 0.000000 0.000000 0.000000 0.209068 0.050738 0.000000 \n", - "21 0.000000 0.052161 0.000000 0.056553 0.000000 0.000000 0.343152 \n", - "\n", - " V715 V716 V717 V718 V719 V720 V721 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.237253 0.000000 0.000000 0.318944 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.379981 0.000000 \n", - "5 0.000000 0.000000 0.326004 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.342073 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.068741 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.239204 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.108643 \n", - "11 0.187667 0.000000 0.000000 0.000000 0.319253 0.142304 0.000000 \n", - "12 0.000000 0.000000 0.522693 0.170380 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.125166 0.000000 0.252049 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.098388 \n", - "15 0.000000 0.269669 0.000000 0.000000 0.254730 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.225192 0.000000 0.190699 0.077843 \n", - "17 0.000000 0.000000 0.000000 0.163070 0.000000 0.287016 0.000000 \n", - "18 0.227955 0.388258 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.172198 0.000000 0.151304 0.000000 0.000000 0.000000 0.155131 \n", - "20 0.000000 0.000000 0.000000 0.122414 0.300852 0.000000 0.000000 \n", - "21 0.174927 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V722 V723 V724 V725 V726 V727 V728 \\\n", - "0 0.179678 0.000000 0.050603 0.000000 0.250388 0.159799 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.093026 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.536659 0.000000 0.000000 0.133459 0.000000 0.086703 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.079930 0.000000 0.000000 0.000000 0.135283 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.231812 0.158434 0.379103 0.124955 \n", - "8 0.000000 0.000000 0.171863 0.000000 0.000000 0.000000 0.130330 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.189303 \n", - "10 0.113211 0.000000 0.159336 0.273749 0.000000 0.000000 0.000000 \n", - "11 0.285410 0.245997 0.000000 0.000000 0.057120 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.189033 0.207034 0.265317 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.163926 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.056191 \n", - "15 0.253403 0.217343 0.177441 0.000000 0.000000 0.111234 0.000000 \n", - "16 0.000000 0.000000 0.141289 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.088369 0.000000 0.000000 0.194378 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.110434 0.000000 0.000000 0.349865 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.248593 \n", - "\n", - " V729 V730 V731 V732 V733 V734 V735 \\\n", - "0 0.274110 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.126981 0.327765 0.000000 0.000000 0.150366 0.000000 \n", - "2 0.392178 0.000000 0.000000 0.154292 0.287461 0.000000 0.164681 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.173036 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.148298 0.000000 \n", - "5 0.000000 0.000000 0.423901 0.000000 0.000000 0.148745 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.172266 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.053791 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.085206 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.148920 0.000000 \n", - "11 0.232607 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.248335 0.334966 0.191895 0.000000 0.160762 \n", - "13 0.000000 0.000000 0.000000 0.338476 0.000000 0.000000 0.000000 \n", - "14 0.101105 0.000000 0.000000 0.000000 0.135846 0.000000 0.000000 \n", - "15 0.000000 0.272032 0.000000 0.000000 0.122224 0.000000 0.674557 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.255064 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.199339 0.000000 0.000000 0.000000 0.091636 0.000000 \n", - "21 0.000000 0.146584 0.000000 0.000000 0.262574 0.000000 0.000000 \n", - "\n", - " V736 V737 V738 V739 V740 V741 V742 \\\n", - "0 0.353878 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.148047 0.000000 0.000000 0.000000 0.000000 0.170770 0.225845 \n", - "2 0.122249 0.000000 0.121008 0.000000 0.232012 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.260765 0.000000 0.207448 0.000000 \n", - "4 0.000000 0.095052 0.076186 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.182946 0.227855 0.000000 0.000000 0.102050 0.139837 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.099963 0.272027 \n", - "7 0.000000 0.000000 0.129448 0.148950 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.091956 0.000000 0.000000 0.194039 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.253700 0.000000 0.257964 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.259528 0.175999 0.000000 0.300431 0.000000 0.000000 0.000000 \n", - "13 0.116298 0.000000 0.000000 0.289854 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.115999 0.191804 0.000000 0.140474 0.084954 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.052088 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.179671 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.106290 0.000000 0.000000 0.175510 0.135633 0.109564 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.199182 0.252727 \n", - "\n", - " V743 V744 V745 V746 V747 V748 V749 \\\n", - "0 0.000000 0.000000 0.313325 0.000000 0.000000 0.144278 0.000000 \n", - "1 0.305432 0.182593 0.000000 0.606463 0.173627 0.000000 0.000000 \n", - "2 0.000000 0.164050 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.237130 0.000000 0.126712 0.000000 \n", - "4 0.000000 0.000000 0.108319 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.110976 0.164564 0.000000 0.226783 0.000000 0.050406 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.154215 \n", - "7 0.694568 0.000000 0.000000 0.000000 0.470076 0.178000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.103383 0.000000 0.000000 0.000000 0.155311 \n", - "10 0.000000 0.095884 0.000000 0.000000 0.000000 0.000000 0.143443 \n", - "11 0.000000 0.000000 0.218703 0.156407 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.176261 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.171107 0.203540 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.154645 0.000000 \n", - "15 0.000000 0.116809 0.000000 0.000000 0.000000 0.000000 0.156495 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.136590 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.115005 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.153427 0.000000 0.000000 0.129515 0.110254 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.091705 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V750 V751 V752 V753 V754 V755 V756 \\\n", - "0 0.249727 0.000000 0.000000 0.000000 0.000000 0.115133 0.000000 \n", - "1 0.000000 0.137344 0.102469 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.275958 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.080035 0.000000 0.000000 0.202042 \n", - "4 0.000000 0.119621 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.256602 0.000000 0.000000 0.188542 \n", - "6 0.000000 0.000000 0.000000 0.085381 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.237123 0.000000 0.066976 0.277317 0.000000 0.228047 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.413748 0.000000 0.000000 \n", - "10 0.000000 0.207399 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.163312 0.000000 0.000000 0.071390 0.000000 \n", - "13 0.455277 0.000000 0.240364 0.000000 0.213763 0.246598 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.091754 \n", - "15 0.000000 0.186685 0.000000 0.248126 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.111829 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.242303 0.115569 \n", - "18 0.294996 0.000000 0.000000 0.262880 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.228045 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.217897 0.000000 0.095171 0.096531 0.174046 \n", - "\n", - " V757 V758 V759 V760 V761 V762 V763 \\\n", - "0 0.000000 0.136654 0.106276 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.222908 0.000000 0.142320 \n", - "3 0.000000 0.000000 0.136996 0.000000 0.000000 0.224461 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.086988 \n", - "5 0.203169 0.000000 0.000000 0.000000 0.082256 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.090827 \n", - "8 0.081148 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.180845 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.192737 0.000000 0.000000 0.475348 0.000000 0.000000 0.049249 \n", - "12 0.000000 0.431405 0.138366 0.000000 0.000000 0.000000 0.170855 \n", - "13 0.146398 0.000000 0.000000 0.000000 0.000000 0.198281 0.168902 \n", - "14 0.000000 0.000000 0.151530 0.524652 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.327419 0.000000 0.000000 0.000000 0.577258 0.000000 \n", - "16 0.092449 0.104521 0.049664 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.106580 0.000000 0.000000 0.000000 0.124348 \n", - "18 0.073725 0.000000 0.000000 0.000000 0.211342 0.000000 0.000000 \n", - "19 0.210374 0.000000 0.000000 0.000000 0.000000 0.000000 0.166512 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.231264 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.129743 0.000000 0.252230 0.000000 0.000000 \n", - "\n", - " V764 V765 V766 V767 V768 V769 V770 \\\n", - "0 0.063653 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.229686 0.000000 0.000000 0.000000 0.000000 0.147422 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.088282 0.175482 0.224504 0.000000 0.186163 0.297999 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.066287 0.000000 0.547903 0.000000 \n", - "5 0.189245 0.000000 0.000000 0.150681 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.113122 0.000000 0.000000 0.000000 0.000000 0.154097 0.187043 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.289529 0.000000 0.077192 \n", - "10 0.160957 0.214542 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.170141 0.187364 0.000000 0.000000 0.000000 \n", - "12 0.102570 0.000000 0.346278 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.170012 \n", - "14 0.126897 0.000000 0.000000 0.000000 0.000000 0.000000 0.176487 \n", - "15 0.000000 0.232007 0.000000 0.204044 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.366353 0.000000 0.179652 \n", - "17 0.000000 0.148283 0.000000 0.166387 0.000000 0.000000 0.000000 \n", - "18 0.155274 0.000000 0.000000 0.113413 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.157955 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.111824 0.000000 0.000000 0.062192 \n", - "21 0.000000 0.000000 0.259077 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V771 V772 V773 V774 V775 V776 V777 \\\n", - "0 0.000000 0.000000 0.000000 0.245287 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.177744 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.097960 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.087615 \n", - "8 0.000000 0.000000 0.368219 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.315764 \n", - "10 0.393155 0.000000 0.000000 0.000000 0.294481 0.000000 0.281120 \n", - "11 0.000000 0.000000 0.183448 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.413286 0.435333 0.448333 0.000000 0.000000 0.000000 0.216197 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.150320 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.283620 0.271726 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.193559 0.564667 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.261396 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.099304 \n", - "21 0.000000 0.000000 0.000000 0.754713 0.271579 0.191174 0.000000 \n", - "\n", - " V778 V779 V780 V781 V782 V783 V784 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.149620 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.225006 0.000000 0.000000 0.000000 \n", - "2 0.132408 0.000000 0.000000 0.000000 0.000000 0.000000 0.255093 \n", - "3 0.283861 0.000000 0.000000 0.377972 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.397022 0.199607 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.377321 0.000000 \n", - "6 0.000000 0.000000 0.242523 0.000000 0.000000 0.000000 0.225422 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.243120 0.251157 0.000000 0.108128 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.299247 0.000000 0.152133 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.284594 0.207073 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.083199 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.201977 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.207444 \n", - "17 0.226404 0.241280 0.000000 0.000000 0.177176 0.622679 0.000000 \n", - "18 0.257198 0.000000 0.000000 0.000000 0.157689 0.000000 0.110064 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.100129 0.147808 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.055646 0.000000 0.000000 \n", - "\n", - " V785 V786 V787 V788 V789 V790 V791 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.132165 0.000000 0.000000 \n", - "1 0.224463 0.000000 0.000000 0.000000 0.042233 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.295691 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.190700 0.000000 0.000000 0.161884 0.483911 0.155595 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.131978 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.325041 0.276115 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.083055 \n", - "7 0.000000 0.000000 0.000000 0.184875 0.000000 0.516089 0.000000 \n", - "8 0.178659 0.000000 0.000000 0.000000 0.000000 0.000000 0.101940 \n", - "9 0.000000 0.000000 0.000000 0.334703 0.100005 0.000000 0.119914 \n", - "10 0.000000 0.209196 0.000000 0.000000 0.168359 0.000000 0.080007 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.154982 0.600104 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.152919 0.000000 0.000000 \n", - "14 0.198611 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.243285 0.000000 0.000000 0.204307 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.153589 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.166325 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.110457 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.379268 0.000000 0.000000 0.000000 0.139576 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V792 V793 V794 V795 V796 V797 V798 \\\n", - "0 0.440485 0.000000 0.000000 0.000000 0.154952 0.000000 0.063303 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.075277 0.249014 0.101856 \n", - "2 0.000000 0.213365 0.000000 0.000000 0.000000 0.000000 0.128692 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.161750 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.150762 0.000000 0.000000 \n", - "6 0.000000 0.223470 0.000000 0.472581 0.124150 0.000000 0.071853 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.096185 0.000000 0.000000 \n", - "8 0.000000 0.153997 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.527419 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.116853 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.120071 0.000000 0.000000 \n", - "12 0.393411 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.200428 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.204869 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.231396 0.347275 0.000000 0.000000 0.750986 0.133751 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.102597 \n", - "20 0.000000 0.177772 0.000000 0.000000 0.000000 0.000000 0.197519 \n", - "21 0.166105 0.000000 0.447856 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V799 V800 V801 V802 V803 V804 V805 \\\n", - "0 0.000000 0.087446 0.306767 0.000000 0.000000 0.317573 0.286006 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.149342 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.175767 0.176463 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.207922 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.347697 0.000000 0.356515 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.168285 0.000000 0.245203 0.427176 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.172587 0.368347 \n", - "9 0.000000 0.000000 0.000000 0.163425 0.000000 0.000000 0.000000 \n", - "10 0.250765 0.114978 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.195277 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.246950 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.193955 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.130598 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.315885 0.000000 \n", - "17 0.000000 0.135811 0.160951 0.243193 0.000000 0.000000 0.174783 \n", - "18 0.000000 0.084090 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.401538 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.052127 0.000000 0.171715 0.000000 0.000000 0.170864 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V806 V807 V808 V809 V810 V811 V812 \\\n", - "0 0.225608 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.067919 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.205564 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.229434 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.195387 0.000000 0.223005 \n", - "5 0.101898 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.257564 0.144219 \n", - "7 0.268098 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.161552 0.150639 0.243408 \n", - "9 0.000000 0.308358 0.000000 0.353173 0.059862 0.000000 0.124162 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.190774 0.000000 0.000000 0.265206 \n", - "12 0.000000 0.000000 0.509445 0.000000 0.086480 0.072124 0.000000 \n", - "13 0.094836 0.000000 0.000000 0.000000 0.236062 0.000000 0.000000 \n", - "14 0.000000 0.355281 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.490555 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.084674 0.000000 \n", - "17 0.000000 0.336361 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.160497 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.057449 0.000000 0.000000 \n", - "20 0.309560 0.000000 0.000000 0.000000 0.135288 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.295555 0.000000 0.000000 0.000000 \n", - "\n", - " V813 V814 V815 V816 V817 V818 V819 \\\n", - "0 0.076477 0.000000 0.188179 0.115093 0.000000 0.000000 0.147421 \n", - "1 0.000000 0.000000 0.108963 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.146817 0.000000 0.000000 0.000000 0.000000 0.000000 0.074242 \n", - "3 0.000000 0.000000 0.000000 0.192659 0.000000 0.119193 0.185702 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.138043 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.129003 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.234446 0.000000 0.000000 0.000000 0.000000 0.204969 0.000000 \n", - "7 0.000000 0.000000 0.131415 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.139040 0.000000 0.000000 0.000000 0.000000 0.111704 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.140748 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.156548 0.000000 \n", - "11 0.000000 0.000000 0.146236 0.127173 0.243476 0.000000 0.147988 \n", - "12 0.000000 0.272394 0.000000 0.167592 0.289350 0.114998 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.206025 0.000000 0.059420 0.000000 0.145031 0.080993 0.000000 \n", - "15 0.053163 0.478207 0.000000 0.154281 0.000000 0.000000 0.177802 \n", - "16 0.000000 0.000000 0.134994 0.000000 0.184100 0.211594 0.000000 \n", - "17 0.000000 0.249400 0.000000 0.087910 0.000000 0.000000 0.000000 \n", - "18 0.144032 0.000000 0.000000 0.000000 0.000000 0.000000 0.126097 \n", - "19 0.000000 0.000000 0.101789 0.155292 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V820 V821 V822 V823 V824 V825 V826 \\\n", - "0 0.000000 0.226390 0.000000 0.176427 0.000000 0.00000 0.000000 \n", - "1 0.297740 0.000000 0.000000 0.000000 0.122644 0.00000 0.134035 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.171530 0.00000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.147820 0.00000 0.000000 \n", - "4 0.000000 0.235093 0.000000 0.207674 0.166295 0.51831 0.105520 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.135205 0.00000 0.000000 \n", - "6 0.267180 0.000000 0.327405 0.000000 0.000000 0.00000 0.000000 \n", - "7 0.000000 0.187824 0.000000 0.094898 0.000000 0.00000 0.143807 \n", - "8 0.000000 0.150810 0.149136 0.078480 0.000000 0.00000 0.134836 \n", - "9 0.181245 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.179302 0.000000 0.00000 0.144771 \n", - "11 0.000000 0.000000 0.225615 0.000000 0.000000 0.00000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.128121 0.00000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.097032 \n", - "15 0.253835 0.000000 0.000000 0.000000 0.066605 0.00000 0.131013 \n", - "16 0.000000 0.120729 0.000000 0.046516 0.000000 0.00000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 \n", - "18 0.000000 0.079155 0.000000 0.167944 0.061780 0.00000 0.108985 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 \n", - "21 0.000000 0.000000 0.297845 0.048759 0.000000 0.48169 0.000000 \n", - "\n", - " V827 V828 V829 V830 V831 V832 V833 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.199923 0.193119 0.000000 \n", - "1 0.000000 0.259659 0.000000 0.139815 0.199555 0.205879 0.000000 \n", - "2 0.000000 0.295025 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.181951 0.000000 \n", - "4 0.178870 0.000000 0.000000 0.000000 0.065623 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.361042 0.000000 0.092920 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.071391 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.320690 0.000000 0.000000 0.000000 0.089847 0.132513 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.584985 \n", - "10 0.139398 0.181707 0.000000 0.224126 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.242683 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.190430 0.225766 0.158968 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.084072 0.000000 0.000000 0.000000 0.415015 \n", - "14 0.000000 0.162965 0.000000 0.000000 0.000000 0.141807 0.000000 \n", - "15 0.000000 0.100644 0.000000 0.066252 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.201526 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.108404 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.196422 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.147619 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.084558 0.080924 0.000000 \n", - "21 0.000000 0.000000 0.210100 0.000000 0.000000 0.063806 0.000000 \n", - "\n", - " V834 V835 V836 V837 V838 V839 V840 \\\n", - "0 0.000000 0.075785 0.000000 0.000000 0.000000 0.000000 0.157916 \n", - "1 0.408228 0.208836 0.124765 0.156230 0.000000 0.077509 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.068699 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.176070 0.000000 0.000000 0.000000 0.211397 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.044425 0.000000 0.087707 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.130307 0.000000 \n", - "9 0.000000 0.000000 0.215161 0.156029 0.000000 0.000000 0.107893 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.304957 0.000000 0.000000 0.000000 0.000000 0.000000 0.160202 \n", - "12 0.000000 0.000000 0.225037 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.110224 0.000000 0.000000 0.177991 0.319534 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.164837 0.000000 0.386129 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.160105 0.435879 0.000000 0.000000 \n", - "17 0.286815 0.187634 0.116862 0.169788 0.000000 0.173545 0.195773 \n", - "18 0.000000 0.000000 0.000000 0.150756 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.172752 0.000000 0.000000 0.000000 0.000000 0.378216 \n", - "20 0.000000 0.000000 0.000000 0.162667 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.153338 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V841 V842 V843 V844 V845 V846 V847 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.100299 0.194672 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.142363 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.334130 \n", - "3 0.135685 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.372799 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.189822 0.000000 0.148558 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.047081 0.131592 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.118704 0.259051 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.145142 0.219229 0.000000 0.506645 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.451023 0.122774 0.000000 \n", - "14 0.240091 0.217740 0.000000 0.000000 0.000000 0.235080 0.293072 \n", - "15 0.000000 0.187785 0.233624 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.134528 0.000000 0.140902 0.112510 0.000000 \n", - "17 0.063175 0.089624 0.000000 0.493355 0.000000 0.090726 0.000000 \n", - "18 0.000000 0.119837 0.000000 0.000000 0.000000 0.051514 0.000000 \n", - "19 0.129760 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.092647 0.000000 0.165413 0.192723 0.000000 \n", - "21 0.096326 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V848 V849 V850 V851 V852 V853 V854 \\\n", - "0 0.000000 0.068569 0.000000 0.000000 0.000000 0.187123 0.000000 \n", - "1 0.000000 0.126570 0.105632 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.127112 0.000000 0.000000 0.000000 0.000000 0.104137 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.127776 0.000000 0.000000 0.445731 \n", - "5 0.123927 0.000000 0.090107 0.000000 0.132900 0.000000 0.000000 \n", - "6 0.104127 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.163016 0.000000 0.000000 0.073391 0.000000 0.185801 0.227069 \n", - "8 0.000000 0.213346 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.088374 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.063248 0.000000 0.000000 0.188095 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.332045 0.063218 0.000000 \n", - "13 0.125517 0.000000 0.129355 0.000000 0.134903 0.000000 0.000000 \n", - "14 0.102624 0.000000 0.270796 0.178322 0.000000 0.166735 0.000000 \n", - "15 0.000000 0.234273 0.137902 0.250926 0.269512 0.179340 0.139105 \n", - "16 0.107439 0.129915 0.114068 0.000000 0.130641 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.146238 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.202874 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.063766 0.103463 0.000000 0.056563 0.000000 \n", - "21 0.000000 0.227328 0.000000 0.000000 0.000000 0.057081 0.000000 \n", - "\n", - " V855 V856 V857 V858 V859 V860 V861 \\\n", - "0 0.000000 0.000000 0.000000 0.292425 0.127144 0.000000 0.170616 \n", - "1 0.154149 0.000000 0.000000 0.000000 0.000000 0.091949 0.065441 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.170631 0.000000 0.144889 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.154223 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.140209 0.262912 0.092591 0.000000 0.132679 \n", - "7 0.202952 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.224847 0.235164 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.218383 0.000000 0.135459 0.000000 0.073889 \n", - "11 0.000000 0.589311 0.000000 0.000000 0.000000 0.000000 0.148740 \n", - "12 0.170775 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.245337 0.000000 0.000000 0.137259 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.069268 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.199326 0.000000 0.000000 0.000000 \n", - "17 0.096971 0.000000 0.342297 0.000000 0.000000 0.208849 0.000000 \n", - "18 0.000000 0.410689 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.076822 0.000000 \n", - "20 0.066348 0.000000 0.000000 0.000000 0.229499 0.201251 0.175403 \n", - "21 0.068907 0.000000 0.000000 0.000000 0.190460 0.185965 0.095972 \n", - "\n", - " V862 V863 V864 V865 V866 V867 V868 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.233678 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.180335 0.000000 0.176912 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.088927 0.000000 0.000000 0.173893 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.133945 \n", - "6 0.000000 0.175952 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.255316 0.000000 0.427992 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.174213 0.000000 0.000000 0.094833 \n", - "9 0.000000 0.000000 0.322225 0.000000 0.086717 0.000000 0.000000 \n", - "10 0.074685 0.000000 0.000000 0.000000 0.168703 0.000000 0.000000 \n", - "11 0.126480 0.000000 0.000000 0.107442 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.171782 0.000000 0.000000 0.000000 \n", - "13 0.082644 0.000000 0.000000 0.000000 0.000000 0.550992 0.000000 \n", - "14 0.000000 0.294404 0.000000 0.000000 0.000000 0.000000 0.143838 \n", - "15 0.000000 0.000000 0.000000 0.154658 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.237264 0.000000 0.000000 0.077446 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.213702 0.209933 0.000000 0.179648 \n", - "18 0.227197 0.203452 0.000000 0.000000 0.102973 0.000000 0.178587 \n", - "19 0.000000 0.000000 0.249783 0.111405 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.066798 0.000000 0.449008 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.092238 \n", - "\n", - " V869 V870 V871 V872 V873 V874 V875 \\\n", - "0 0.000000 0.000000 0.118519 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.114114 0.000000 0.000000 0.098470 0.000000 \n", - "2 0.316741 0.000000 0.070999 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.130648 0.112186 0.000000 0.113427 0.314824 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.193301 0.072016 0.237746 0.087330 \n", - "5 0.000000 0.000000 0.000000 0.101546 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.507707 0.000000 0.000000 0.192602 0.000000 0.288050 \n", - "8 0.000000 0.000000 0.000000 0.180351 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.142066 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.189616 0.204833 0.000000 0.000000 0.095335 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.271759 0.000000 0.000000 0.168121 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.192142 0.000000 0.000000 0.251868 \n", - "17 0.318967 0.361645 0.000000 0.000000 0.125188 0.180839 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.165204 0.000000 0.075930 \n", - "19 0.000000 0.000000 0.122807 0.127827 0.182577 0.000000 0.059421 \n", - "20 0.364292 0.000000 0.000000 0.000000 0.148986 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V876 V877 V878 V879 V880 V881 V882 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.144214 0.752718 0.333461 0.000000 0.000000 \n", - "2 0.000000 0.303538 0.000000 0.000000 0.000000 0.000000 0.054970 \n", - "3 0.000000 0.000000 0.000000 0.247282 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.229669 \n", - "5 0.000000 0.115350 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.562855 0.000000 0.000000 0.000000 0.110046 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.089941 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.502283 0.000000 \n", - "9 0.000000 0.000000 0.152186 0.000000 0.000000 0.497717 0.090916 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.074968 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.232189 0.000000 0.000000 0.000000 0.000000 0.101573 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.273994 0.000000 0.112992 \n", - "17 0.000000 0.000000 0.243003 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.247696 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.437145 0.000000 0.244484 0.000000 0.000000 0.000000 0.244972 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.101226 0.216112 0.000000 0.282500 0.000000 0.000000 \n", - "\n", - " V883 V884 V885 V886 V887 V888 V889 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.104578 0.000000 0.000000 \n", - "2 0.083485 0.000000 0.000000 0.068975 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.061840 \n", - "4 0.000000 0.000000 0.623961 0.000000 0.065273 0.000000 0.221194 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.169528 0.200563 0.000000 \n", - "7 0.000000 0.539745 0.000000 0.000000 0.242176 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.190709 0.000000 0.000000 0.000000 \n", - "9 0.088971 0.000000 0.000000 0.000000 0.000000 0.166982 0.000000 \n", - "10 0.065164 0.000000 0.000000 0.000000 0.000000 0.184303 0.208413 \n", - "11 0.261061 0.000000 0.000000 0.000000 0.000000 0.059287 0.000000 \n", - "12 0.144670 0.000000 0.376039 0.000000 0.099841 0.132777 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.293736 0.000000 0.000000 0.132996 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.121007 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.140043 0.000000 0.000000 0.000000 \n", - "16 0.209638 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.176408 0.000000 0.135080 0.266823 \n", - "18 0.000000 0.460255 0.000000 0.000000 0.085532 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.098660 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.130128 0.134413 0.000000 0.108735 \n", - "21 0.147011 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V890 V891 V892 V893 V894 V895 V896 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.182147 0.000000 0.000000 0.000000 0.000000 0.190163 0.000000 \n", - "2 0.142278 0.146033 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.170564 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.053841 0.188089 0.000000 0.000000 0.189198 0.133795 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.256967 0.194503 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.048740 0.165679 0.204297 0.000000 0.000000 0.174170 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.088490 0.000000 \n", - "10 0.209782 0.000000 0.000000 0.360289 0.000000 0.000000 0.387668 \n", - "11 0.000000 0.000000 0.353119 0.000000 0.127427 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.266482 0.000000 0.156965 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.176101 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.121910 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.141899 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.133560 0.000000 0.000000 \n", - "17 0.093096 0.000000 0.000000 0.000000 0.000000 0.000000 0.196250 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.207726 0.000000 0.122671 0.084985 0.173082 0.416082 \n", - "20 0.055033 0.000000 0.000000 0.148132 0.113363 0.000000 0.000000 \n", - "21 0.215082 0.000000 0.000000 0.111941 0.000000 0.098400 0.000000 \n", - "\n", - " V897 V898 V899 V900 V901 V902 V903 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.105802 0.069493 0.376149 \n", - "1 0.158728 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.141926 0.000000 0.000000 0.114116 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.200910 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.067815 0.000000 0.000000 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.129736 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.172248 0.091447 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.084472 0.000000 0.000000 0.253372 0.000000 \n", - "8 0.000000 0.000000 0.130912 0.000000 0.000000 0.217269 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.209321 0.000000 0.079936 0.000000 \n", - "10 0.090481 0.259972 0.000000 0.000000 0.000000 0.000000 0.318595 \n", - "11 0.171229 0.218417 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.247415 0.242141 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.212737 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.202187 0.000000 0.208073 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.210431 0.098502 0.279196 0.000000 0.000000 \n", - "18 0.135295 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.240368 0.000000 \n", - "20 0.146885 0.246451 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.155456 0.102912 0.000000 0.000000 0.164788 0.139562 0.305256 \n", - "\n", - " V904 V905 V906 V907 V908 V909 V910 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "2 0.158815 0.162935 0.000000 0.000000 0.000000 0.000000 0.094641 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.230011 0.000000 0.064962 \n", - "5 0.000000 0.190580 0.000000 0.000000 0.000000 0.000000 0.226212 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.067228 0.000000 0.123593 \n", - "7 0.000000 0.000000 0.231164 0.000000 0.000000 0.000000 0.183427 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.069242 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.189855 0.000000 0.212435 0.000000 \n", - "11 0.000000 0.160296 0.000000 0.291234 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.565595 0.000000 0.225320 0.418668 0.000000 \n", - "13 0.000000 0.191991 0.000000 0.000000 0.000000 0.000000 0.153510 \n", - "14 0.000000 0.169947 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.124251 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.340099 0.000000 0.000000 0.000000 \n", - "18 0.504210 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.203241 0.000000 0.219585 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.178813 0.188614 0.368897 0.000000 \n", - "21 0.336974 0.000000 0.000000 0.000000 0.000000 0.000000 0.153655 \n", - "\n", - " V911 V912 V913 V914 V915 V916 V917 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.416066 0.064331 0.174138 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.327912 \n", - "3 0.000000 0.129639 0.000000 0.252855 0.000000 0.000000 0.000000 \n", - "4 0.378723 0.000000 0.000000 0.000000 0.176264 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.231704 0.000000 0.330973 0.000000 \n", - "7 0.000000 0.140422 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.259158 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.103801 0.583934 0.000000 0.000000 0.093906 0.000000 \n", - "10 0.000000 0.180356 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.425777 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.162027 0.312401 0.000000 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.191274 0.000000 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.089979 0.000000 0.262720 0.000000 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.136663 0.096089 0.000000 0.000000 \n", - "19 0.195500 0.000000 0.000000 0.000000 0.200208 0.000000 0.000000 \n", - "20 0.000000 0.186624 0.000000 0.224468 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.672088 \n", - "\n", - " V918 V919 V920 V921 V922 V923 V924 \\\n", - "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.201225 0.000000 0.000000 0.443443 0.000000 \n", - "2 0.250269 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.151362 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.249956 0.000000 0.000000 0.000000 0.269118 0.000000 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.105441 0.259599 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.326180 0.000000 0.214761 \n", - "8 0.000000 0.000000 0.128653 0.215868 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.342929 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.207931 0.000000 0.120653 0.000000 0.199562 \n", - "11 0.000000 0.000000 0.097413 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.166382 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.000000 0.101775 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.000000 0.384677 0.000000 0.000000 0.284048 0.000000 0.291387 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.130143 0.000000 0.000000 0.144476 0.000000 0.182890 0.000000 \n", - "17 0.000000 0.000000 0.096620 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.081613 0.000000 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.215114 0.000000 0.373668 0.294290 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.112830 0.355724 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V925 V926 V927 V928 V929 V930 V931 \\\n", - "0 0.253032 0.000000 0.000000 0.000000 0.173120 0.152726 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.071445 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.073337 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.223635 0.000000 \n", - "4 0.000000 0.000000 0.525729 0.000000 0.000000 0.000000 0.185678 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.168912 0.000000 0.118929 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.132039 \n", - "7 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.416970 0.000000 0.000000 0.000000 0.000000 0.000000 0.136818 \n", - "9 0.000000 0.000000 0.000000 0.043973 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.140868 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.160660 0.160247 0.000000 0.000000 \n", - "13 0.329997 0.000000 0.000000 0.215312 0.000000 0.093128 0.000000 \n", - "14 0.000000 0.000000 0.000000 0.000000 0.000000 0.195347 0.000000 \n", - "15 0.000000 0.209177 0.000000 0.000000 0.054009 0.057323 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.099405 \n", - "17 0.000000 0.274329 0.000000 0.158397 0.187525 0.000000 0.112925 \n", - "18 0.000000 0.269463 0.000000 0.088202 0.185234 0.000000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.213850 0.070952 0.206396 0.000000 \n", - "20 0.000000 0.108355 0.000000 0.119606 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.138676 0.474271 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V932 V933 V934 V935 V936 V937 V938 \\\n", - "0 0.000000 0.272953 0.000000 0.000000 0.106151 0.000000 0.000000 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.000000 0.067717 0.071387 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.000000 0.286421 0.000000 \n", - "3 0.000000 0.154692 0.000000 0.000000 0.186240 0.192717 0.000000 \n", - "4 0.000000 0.116684 0.211393 0.000000 0.000000 0.000000 0.186723 \n", - "5 0.000000 0.000000 0.139703 0.000000 0.113814 0.000000 0.000000 \n", - "6 0.000000 0.235845 0.000000 0.000000 0.000000 0.000000 0.150137 \n", - "7 0.000000 0.000000 0.223150 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.000000 0.000000 0.243659 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.000000 0.000000 0.294212 0.202916 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.705788 0.000000 0.145100 0.000000 \n", - "12 0.000000 0.136185 0.182095 0.000000 0.132018 0.000000 0.183962 \n", - "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.155008 \n", - "14 0.583238 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.416762 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.111265 0.000000 0.043345 \n", - "17 0.000000 0.083641 0.000000 0.000000 0.000000 0.070163 0.000000 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.098470 0.120419 0.044486 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.049125 0.117462 0.164950 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "\n", - " V939 V940 V941 V942 V943 V944 V945 \\\n", - "0 0.000000 0.000000 0.000000 0.552085 0.000000 0.000000 0.153116 \n", - "1 0.746364 0.000000 0.000000 0.000000 0.248773 0.000000 0.000000 \n", - "2 0.000000 0.281295 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.329436 0.145237 0.000000 0.000000 0.113232 0.000000 \n", - "5 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.000000 0.235594 0.110894 0.000000 0.000000 0.000000 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.108800 0.494474 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.135554 \n", - "10 0.000000 0.153674 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.290680 0.000000 0.158168 \n", - "13 0.253636 0.000000 0.000000 0.000000 0.000000 0.000000 0.167023 \n", - "14 0.000000 0.000000 0.000000 0.447915 0.000000 0.000000 0.155881 \n", - "15 0.000000 0.000000 0.275841 0.000000 0.140756 0.000000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.177785 \n", - "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.052472 \n", - "18 0.000000 0.000000 0.191935 0.000000 0.000000 0.392294 0.000000 \n", - "19 0.000000 0.000000 0.276093 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.210990 0.000000 0.000000 \n", - "\n", - " V946 V947 V948 V949 V950 V951 V952 \\\n", - "0 0.192897 0.000000 0.000000 0.000000 0.215280 0.00000 0.366595 \n", - "1 0.000000 0.000000 0.000000 0.000000 0.178186 0.00000 0.112059 \n", - "2 0.146077 0.413855 0.000000 0.000000 0.084145 0.00000 0.396758 \n", - "3 0.000000 0.000000 0.247335 0.000000 0.000000 0.00000 0.000000 \n", - "4 0.088210 0.000000 0.000000 0.000000 0.000000 0.00000 0.124588 \n", - "5 0.000000 0.000000 0.146524 0.000000 0.000000 0.55425 0.000000 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 \n", - "7 0.167965 0.211948 0.000000 0.000000 0.000000 0.00000 0.000000 \n", - "8 0.000000 0.000000 0.082662 0.201190 0.000000 0.00000 0.000000 \n", - "9 0.000000 0.000000 0.000000 0.225478 0.000000 0.00000 0.000000 \n", - "10 0.142750 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 \n", - "11 0.000000 0.000000 0.000000 0.373136 0.159818 0.00000 0.000000 \n", - "12 0.000000 0.000000 0.083298 0.000000 0.079417 0.00000 0.000000 \n", - "13 0.000000 0.000000 0.103927 0.000000 0.068529 0.00000 0.000000 \n", - "14 0.072204 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.000000 0.049378 0.00000 0.000000 \n", - "16 0.000000 0.000000 0.000000 0.200197 0.000000 0.00000 0.000000 \n", - "17 0.128210 0.374197 0.059253 0.000000 0.000000 0.44575 0.000000 \n", - "18 0.061685 0.000000 0.277001 0.000000 0.000000 0.00000 0.000000 \n", - "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 \n", - "20 0.000000 0.000000 0.000000 0.000000 0.165246 0.00000 0.000000 \n", - "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 \n", - "\n", - " V953 V954 V955 V956 V957 V958 V959 \\\n", - "0 0.109805 0.000000 0.000000 0.000000 0.070564 0.000000 0.000000 \n", - "1 0.068527 0.334054 0.000000 0.231272 0.152850 0.000000 0.000000 \n", - "2 0.000000 0.000000 0.000000 0.000000 0.175964 0.000000 0.000000 \n", - "3 0.000000 0.000000 0.000000 0.136502 0.143138 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.131221 \n", - "5 0.182098 0.000000 0.000000 0.000000 0.161403 0.000000 0.058715 \n", - "6 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "7 0.193935 0.000000 0.000000 0.000000 0.000000 0.091280 0.000000 \n", - "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.075353 \n", - "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.000000 0.345896 0.000000 0.000000 0.000000 0.000000 0.062663 \n", - "11 0.000000 0.000000 0.304717 0.000000 0.000000 0.000000 0.193271 \n", - "12 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "13 0.000000 0.210815 0.000000 0.000000 0.000000 0.187601 0.000000 \n", - "14 0.000000 0.109235 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.454673 0.000000 0.000000 0.000000 0.000000 \n", - "16 0.171345 0.000000 0.000000 0.211810 0.109223 0.173687 0.000000 \n", - "17 0.175802 0.000000 0.240609 0.207726 0.000000 0.301255 0.241075 \n", - "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.246178 0.000000 \n", - 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"source": [ - "Betas" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "metadata": {}, - "outputs": [], - "source": [ - "def blandAltman (betas, result):\n", - " betahat = result.Subjects[0].MIXprop[0].T.to_numpy(copy=True)\n", - " betahat = betahat.flatten()\n", - " \n", - " betasim = betas.to_numpy(copy=True)\n", - " betasim = betasim.flatten()\n", - " \n", - " df = pd.DataFrame(np.transpose([betahat, betasim, (betahat - betasim)]), columns = ['betahat', 'betasim', 'difs'])\n", - " summary = pd.DataFrame([[np.mean(df.difs),np.std(df.difs),np.min(df.difs),np.max(df.difs)]], columns = ['mn', 'sd', 'mi', 'mx'])\n", - " return df, summary\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 117, - "metadata": {}, - "outputs": [], - "source": [ - "ba, summary = blandAltman (Betas, result)" - ] - }, - { - "cell_type": "code", - "execution_count": 120, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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-1.435289e-02\n", - "21977 0.644254 0.648395 -4.140596e-03\n", - "21978 0.000000 0.000000 0.000000e+00\n", - "21979 0.000000 0.000000 0.000000e+00\n", - "21980 0.000000 0.000000 0.000000e+00\n", - "21981 0.000000 0.000000 0.000000e+00\n", - "21982 0.214768 0.208702 6.065671e-03\n", - "21983 0.144427 0.144439 -1.234158e-05\n", - "21984 0.000000 0.000000 0.000000e+00\n", - "21985 0.000000 0.000000 0.000000e+00\n", - "21986 0.000000 0.000000 0.000000e+00\n", - "21987 0.000000 0.000000 0.000000e+00\n", - "21988 0.159273 0.161578 -2.305113e-03\n", - "21989 0.000000 0.000000 0.000000e+00\n", - "21990 0.000000 0.000000 0.000000e+00\n", - "21991 0.000000 0.000000 0.000000e+00\n", - "21992 0.000000 0.000000 0.000000e+00\n", - "21993 0.155939 0.156941 -1.001925e-03\n", - "21994 0.000000 0.000000 0.000000e+00\n", - "21995 0.000000 0.000000 0.000000e+00\n", - "21996 0.000000 0.000000 0.000000e+00\n", - "21997 0.000000 0.000000 0.000000e+00\n", - "21998 0.353981 0.354660 -6.788599e-04\n", - "21999 0.000000 0.000000 0.000000e+00" - ] - }, - "execution_count": 120, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ba" - ] - }, - { - "cell_type": "code", - "execution_count": 115, - "metadata": {}, - "outputs": [], - "source": [ - "def blandAltamGraph(ba, summary):\n", - " fig, ax = plt.subplots(figsize=(16,8))\n", - " ax.plot(ba.betasim, ba.difs, 'k.')\n", - " plt.xlabel('Beta Sim')\n", - " plt.ylabel('Difs')\n", - " ax.axhline(summary.mn[0])\n", - " ax.axhline(summary.mn[0]+2*summary.sd[0])\n", - " ax.axhline(summary.mn[0]-2*summary.sd[0])" - ] - }, - { - "cell_type": "code", - "execution_count": 118, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "blandAltamGraph(ba, summary)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/Test Dash.ipynb b/Test Dash.ipynb deleted file mode 100644 index c90f5ca..0000000 --- a/Test Dash.ipynb +++ /dev/null @@ -1,3625 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 87, - "metadata": {}, - "outputs": [], - "source": [ - "from random import seed\n", - "from random import sample \n", - "from random import randint\n", - "import numpy as np\n", - "import pandas as pd\n", - "\n", - "seed(123)\n", - "from joblib import Parallel, delayed\n" - ] - }, - { - "cell_type": "code", - "execution_count": 98, - "metadata": {}, - "outputs": [], - "source": [ - "n = 22\n", - "a = 2\n", - "b = 4" - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2" - ] - }, - "execution_count": 89, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ns = randint(a, b)\n", - "ns" - ] - }, - { - "cell_type": "code", - "execution_count": 90, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0.38890766, 0.87898467])" - ] - }, - "execution_count": 90, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "r = np.random.uniform(1, 0.2, ns)\n", - "r" - ] - }, - { - "cell_type": "code", - "execution_count": 91, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0.13532849, 0.10507154, 0.05367359, 0.16072826, 0.11345146,\n", - " 0.08576837, 0.08939794, 0.08731246, 0.07516899, 0.09409891])" - ] - }, - "execution_count": 91, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "rn = r/r.sum()\n", - "rn" - ] - }, - { - "cell_type": "code", - "execution_count": 92, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[15, 1, 9, 10, 16, 20, 3, 13, 18, 17]" - ] - }, - "execution_count": 92, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "id = sample(range(n-1), ns)\n", - "id" - ] - }, - { - "cell_type": "code", - "execution_count": 93, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", - " 0., 0., 0., 0., 0.])" - ] - }, - "execution_count": 93, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "betas = np.repeat(.0, n, axis=0)\n", - "betas" - ] - }, - { - "cell_type": "code", - "execution_count": 94, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0. , 0.10507154, 0. , 0.08939794, 0. ,\n", - " 0. , 0. , 0. , 0. , 0.05367359,\n", - " 0.16072826, 0. , 0. , 0.08731246, 0. ,\n", - " 0.13532849, 0.11345146, 0.09409891, 0.07516899, 0. ,\n", - " 0.08576837, 0. ])" - ] - }, - "execution_count": 94, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "for index, i in enumerate(id, start = 0):\n", - " betas[i] = rn[index]\n", - "\n", - "betas" - ] - }, - { - "cell_type": "code", - "execution_count": 91, - "metadata": {}, - "outputs": [], - "source": [ - "# Read xlsx files\n", - "df = pd.read_excel('data/LM22Signature.xlsx', sheet_name = 0) \n", - "X = df.iloc[:, 1:]" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Gene symbol ABCB9\n", - "B cells naive 15.6035\n", - "B cells memory 22.0948\n", - "Plasma cells 653.392\n", - "T cells CD8 24.2237\n", - "T cells CD4 naive 35.6715\n", - "T cells CD4 memory resting 30.0482\n", - "T cells CD4 memory activated 38.4554\n", - "T cells follicular helper 17.6048\n", - "T cells regulatory (Tregs) 46.0737\n", - "T cells gamma delta 19.7157\n", - "NK cells resting 21.8637\n", - "NK cells activated 16.3961\n", - "Monocytes 20.3094\n", - "Macrophages M0 56.2519\n", - "Macrophages M1 29.3809\n", - "Macrophages M2 40.3903\n", - "Dendritic cells resting 123.993\n", - "Dendritic cells activated 23.3846\n", - "Mast cells resting 53.4668\n", - "Mast cells activated 23.6157\n", - "Eosinophils 29.7864\n", - "Neutrophils 33.6791\n", - "Name: 1, dtype: object" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.iloc[1]" - ] - }, - { - "cell_type": "code", - "execution_count": 97, - "metadata": {}, - "outputs": [], - "source": [ - "A = np.dot(X, betas)" - ] - }, - { - "cell_type": "code", - "execution_count": 98, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([3.64495908e+01, 4.22783227e+01, 3.10001891e+02, 3.97910579e+01,\n", - " 4.57393984e+03, 2.75130638e+02, 1.38451303e+03, 9.91798876e+01,\n", - " 1.18249167e+03, 2.39467655e+03, 6.97628858e+02, 4.30762203e+02,\n", - " 6.07107536e+02, 8.94301884e+01, 2.12876501e+01, 2.03861609e+02,\n", - 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" \n", - " vector = X.to_numpy(copy=True) \n", - " vector = vector.flatten()\n", - " \n", - " A = np.dot(X, betas)\n", - " AA = np.dot(X, betas) + vector[sample(range(len(vector)), len(X.index))].T\n", - " \n", - " return betas,id,A, AA\n", - "\n", - "a = Parallel(n_jobs=4, backend='threading')(delayed(createBetas)(X = X, a = 2, b = 8, n = len(X.columns)) for i in range(1000))" - ] - }, - { - "cell_type": "code", - "execution_count": 253, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    1ABCB9252.94409375.46610123.49131475.43404938.17848465.054379122.33421885.71918031.492915...25.16436779.62298868.85498992.93366824.19717937.47296022.56454647.19815839.66327128.433639
    2ACAP1632.125573343.625316572.119823246.438125419.885065460.838182276.133797585.041419705.762770...463.042073627.771165500.710117270.525319480.364715402.688367527.962128328.634180515.340929463.864381
    3ACHE19.81621123.48132264.125618148.818706181.65318639.208100227.54776933.31038541.328040...253.071079222.404087124.188930168.82150117.12362031.154009253.780944116.80481120.402001197.548285
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    \n", - "

    547 rows Ă— 1001 columns

    \n", - "
    " - ], - "text/plain": [ - " Gene symbol V1 V2 V3 V4 \\\n", - "0 ABCB4 7.673002 89.153072 48.971419 93.913063 \n", - "1 ABCB9 252.944093 75.466101 23.491314 75.434049 \n", - "2 ACAP1 632.125573 343.625316 572.119823 246.438125 \n", - "3 ACHE 19.816211 23.481322 64.125618 148.818706 \n", - "4 ACP5 5631.592936 3511.926966 1441.301940 3766.244642 \n", - ".. ... ... ... ... ... \n", - "542 ZNF204P 48.758206 57.061392 54.066110 53.431099 \n", - "543 ZNF222 32.720772 58.067209 77.998857 69.003645 \n", - "544 ZNF286A 70.880992 225.042651 282.213516 178.471875 \n", - "545 ZNF324 35.750297 30.012501 70.749312 53.038885 \n", - "546 ZNF442 32.183320 31.685693 46.017288 35.806223 \n", - "\n", - " V5 V6 V7 V8 V9 ... \\\n", - "0 62.088621 56.655501 10.574024 62.133919 24.254555 ... \n", - "1 38.178484 65.054379 122.334218 85.719180 31.492915 ... \n", - "2 419.885065 460.838182 276.133797 585.041419 705.762770 ... \n", - "3 181.653186 39.208100 227.547769 33.310385 41.328040 ... \n", - "4 2562.465631 3841.155449 908.523285 2159.867915 2344.835618 ... \n", - ".. ... ... ... ... ... ... \n", - "542 55.479452 49.220967 67.020255 56.251190 108.192232 ... \n", - "543 92.466949 76.298199 51.843388 83.130215 103.752530 ... \n", - "544 144.134043 190.900156 127.154172 203.555087 108.444043 ... \n", - "545 47.293548 48.953839 31.123677 34.999003 106.739263 ... \n", - "546 40.883468 35.310897 56.534880 39.367911 28.900849 ... \n", - "\n", - " V991 V992 V993 V994 V995 \\\n", - "0 57.985336 36.365326 40.239448 25.707640 9.861928 \n", - "1 25.164367 79.622988 68.854989 92.933668 24.197179 \n", - "2 463.042073 627.771165 500.710117 270.525319 480.364715 \n", - "3 253.071079 222.404087 124.188930 168.821501 17.123620 \n", - "4 1794.585410 2229.277666 2394.477419 3805.807685 1571.106388 \n", - ".. ... ... ... ... ... \n", - "542 73.162978 93.670140 76.274116 56.708595 76.239369 \n", - "543 60.934160 68.828740 81.915489 61.653266 9.285707 \n", - "544 230.512154 104.122230 138.287435 121.599219 288.928464 \n", - "545 74.532124 84.772633 57.069823 41.285583 24.443720 \n", - "546 45.608010 31.424052 36.480010 35.530474 18.941193 \n", - "\n", - " V996 V997 V998 V999 V1000 \n", - "0 76.025399 122.753714 14.723155 171.305793 119.547880 \n", - "1 37.472960 22.564546 47.198158 39.663271 28.433639 \n", - "2 402.688367 527.962128 328.634180 515.340929 463.864381 \n", - "3 31.154009 253.780944 116.804811 20.402001 197.548285 \n", - "4 3342.368717 542.849191 919.492011 2532.106841 1662.893678 \n", - ".. ... ... ... ... ... \n", - "542 74.082308 91.209925 52.212540 53.140029 62.398021 \n", - "543 95.252363 44.246170 107.538203 104.596890 52.052568 \n", - "544 156.277020 251.969792 134.037765 259.911676 250.981308 \n", - "545 79.775995 31.598262 41.351515 39.350155 54.345457 \n", - "546 38.508023 32.533233 48.370295 27.523809 28.942266 \n", - "\n", - "[547 rows x 1001 columns]" - ] - }, - "execution_count": 140, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Y" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.0" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/Test read rds.ipynb b/Test read rds.ipynb deleted file mode 100644 index 29ea59d..0000000 --- a/Test read rds.ipynb +++ /dev/null @@ -1,2070 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import rpy2\n", - "import rpy2.robjects as robjects\n", - "from rpy2.robjects import pandas2ri\n", - "readRDS = robjects.r['readRDS']\n", - "from rpy2.robjects.conversion import localconverter\n", - "import pandas as pd\n", - "import numpy as np" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from rpy2.robjects.packages import importr" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "R[write to console]: Installing package into ‘/home/matias/R/x86_64-pc-linux-gnu-library/3.6’\n", - "(as ‘lib’ is unspecified)\n", - "\n", - "R[write to console]: probando la URL 'https://cloud.r-project.org/src/contrib/BiocManager_1.30.7.tar.gz'\n", - "\n", - "R[write to console]: Content type 'application/x-gzip'\n", - "R[write to console]: length 38020 bytes (37 KB)\n", - "\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - 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"\n" - ] - } - ], - "source": [ - "biocmanager = importr('BiocManager')\n", - "biocmanager.install('limma')\n", - "limma = importr('limma')" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "df = readRDS('./data/celllines.rds')" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "with localconverter(robjects.default_converter + pandas2ri.converter):\n", - " df = robjects.conversion.rpy2py(df)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "vector = np.array(df[0])" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "ename": "ValueError", - "evalue": "all the input array dimensions for the concatenation axis must match exactly, but along dimension 0, the array at index 0 has size 16532 and the array at index 1 has size 1", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mcolumns\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'V'\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minsert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Gene Symbol'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mY\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumn_stack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvector\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mcolumn_stack\u001b[0;34m(*args, **kwargs)\u001b[0m\n", - "\u001b[0;32m~/.local/lib/python3.6/site-packages/numpy/lib/shape_base.py\u001b[0m in \u001b[0;36mcolumn_stack\u001b[0;34m(tup)\u001b[0m\n\u001b[1;32m 639\u001b[0m \u001b[0marr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msubok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mndmin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mT\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 640\u001b[0m \u001b[0marrays\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 641\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_nx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconcatenate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marrays\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 642\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 643\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mconcatenate\u001b[0;34m(*args, **kwargs)\u001b[0m\n", - "\u001b[0;31mValueError\u001b[0m: all the input array dimensions for the concatenation axis must match exactly, but along dimension 0, the array at index 0 has size 16532 and the array at index 1 has size 1" - ] - } - ], - "source": [ - "vector = [x[2] for x in df]\n", - "vector.insert(0, df[0].rownames)\n", - "columns = ['V' + str(x+1) for x in range(len(df))]\n", - "columns.insert(0, 'Gene Symbol')\n", - "Y = pd.DataFrame(np.column_stack(vector), columns=columns)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "df = readRDS('./data/BRCA_rna.rds')\n", - "with localconverter(robjects.default_converter + pandas2ri.converter):\n", - " brcapd = robjects.conversion.rpy2py(df)" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - 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"language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.8" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/Untitled.ipynb b/Untitled.ipynb deleted file mode 100644 index 070d28e..0000000 --- a/Untitled.ipynb +++ /dev/null @@ -1,572 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from cmapPy.pandasGEXpress.parse import parse" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "df = parse('data/CCLE_RNAseq_genes_counts_20180929.gct')" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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- ], - "source": [ - "X, y = load_iris(return_X_y=True)\n", - "len(y)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "clf = LogisticRegression(random_state=0, solver='lbfgs',\n", - " multi_class='multinomial').fit(X, y)\n", - "clf.predict(X[:2, :])\n", - "\n", - "clf.predict_proba(X[:2, :]) \n", - "\n", - "\n", - "clf.score(X, y)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.0" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/betas.list.rds b/betas.list.rds deleted file mode 100644 index 3f2daaf82d3ab48fd1fc4146b477185520ae4a20..0000000000000000000000000000000000000000 GIT binary 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zb51bl1anR>=l?E\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrobjects\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mrobjects\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrobjects\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mpandas2ri\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mreadRDS\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrobjects\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mr\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'readRDS'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mfrom\u001b[0m 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Mixture\n", - "import Mixture.Utils as mut" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": true - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "R[write to console]: Installing package into ‘/home/matias/R/x86_64-pc-linux-gnu-library/3.5’\n", - "(as ‘lib’ is unspecified)\n", - "\n", - "R[write to console]: trying URL 'https://cloud.r-project.org/src/contrib/BiocManager_1.30.7.tar.gz'\n", - "\n", - "R[write to console]: Content type 'application/x-gzip'\n", - "R[write to console]: length 38020 bytes (37 KB)\n", - "\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - 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(2019-03-11)\n", - "\n", - "R[write to console]: Installing package(s) 'limma'\n", - "\n", - "R[write to console]: trying URL 'https://bioconductor.org/packages/3.8/bioc/src/contrib/limma_3.38.3.tar.gz'\n", - "\n", - "R[write to console]: Content type 'application/x-gzip'\n", - "R[write to console]: length 1471609 bytes (1.4 MB)\n", - "\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: =\n", - "R[write to console]: 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console]: \n", - "R[write to console]: The downloaded source packages are in\n", - "\t‘/tmp/RtmpP5hBnz/downloaded_packages’\n", - "R[write to console]: \n", - "R[write to console]: \n", - "\n", - "R[write to console]: installation path not writeable, unable to update packages: boot, cluster,\n", - " foreign, KernSmooth, MASS, Matrix, mgcv, nlme, rpart, survival\n", - "\n" - ] - } - ], - "source": [ - "biocmanager = importr('BiocManager')\n", - "biocmanager.install('limma')\n", - "limma = importr('limma')" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "df = readRDS('./data/celllines.rds')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "with localconverter(robjects.default_converter + pandas2ri.converter):\n", - " df = robjects.conversion.rpy2py(df)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "vector = np.array(df[0])" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "#applying antilog\n", - "vector_exp = np.exp2(vector)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "dfcellines_exp = pd.DataFrame(vector_exp, columns = df[0].colnames)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "dfcellines_exp.insert(0, 'Gene symbol', df[2][0])" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "Y = dfcellines_exp" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "cores = 4\n", - "iters = 1000\n", - "output = 'outputCellines_TIL10'" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "X = pd.read_excel('data/TIL10_signature.xlsx', sheet_name = 0) " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "with pd.ExcelWriter('Celllines.xlsx') as writer:\n", - " Y.to_excel(writer, sheet_name='E')" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "

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Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Iter: 1 Subject: 909776Iter: 2 Subject: 1322218--------------------------------------------------\n", - "\n", - "\n", - "Subject: 1659819 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 722046\n", - "Iter: 2 Subject: 909776\n", - "Iter: 3 Subject: 1322218\n", - "Iter: 1 Subject: 1659819\n", - "Iter: 2 Subject: 722046\n", - "Iter: 4 Subject: 1322218\n", - "Iter: 3 Subject: 909776\n", - "Iter: 3 Subject: 722046\n", - "Iter: 2 Subject: 1659819\n", - "----------------------------------------------------------------------------------------------------\n", - "Subject: 908130 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "\n", - "Subject: 687448 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 3 Subject: 1299062\n", - "Iter: 2 Subject: 909976.1\n", - "Iter: 1 Subject: 908458Iter: 1 Subject: 753584\n", - "\n", - "--------------------------------------------------\n", - "Subject: 907044 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 998184 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 753584Iter: 1 Subject: 907044Iter: 2 Subject: 908458\n", - "\n", - "\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 998184\n", - "Subject: 908145 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 907044\n", - "Iter: 3 Subject: 753584\n", - "--------------------------------------------------\n", - "Subject: 1659787 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 1298157 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 998184\n", - "Iter: 1 Subject: 908145\n", - "--------------------------------------------------\n", - "Subject: 1480372 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 1659787\n", - "Iter: 1 Subject: 1298157\n", - "Iter: 2 Subject: 908145\n", - "Iter: 2 Subject: 1659787\n", - "Iter: 1 Subject: 1480372\n", - "Iter: 2 Subject: 1298157\n", - "Iter: 3 Subject: 908145\n", - "Iter: 3 Subject: 1659787\n", - "Iter: 2 Subject: 1480372\n", - "--------------------------------------------------Iter: 3 Subject: 1298157\n", - "\n", - "Subject: 1298533 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 930299 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 905954.1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 1298533\n", - "Iter: 1 Subject: 930299\n", - "Iter: 1 Subject: 905954.1\n", - "Iter: 2 Subject: 1298533\n", - "Iter: 2 Subject: 930299\n", - "Iter: 2 Subject: 905954.1\n", - "Iter: 3 Subject: 1298533\n", - "_____________________________________________________________________\n", - "Finish nuSvm\n", - "Finish mixer\n", - "Get Medias\n", - "Creating population (Count: 1000)...\n", - "------------------------------------------------------------------------------------------------------------------------------------------------------\n", - "Creating Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "\n", - "Creating Subject: 0 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "--------------------------------------------------\n", - "Creating Subject: 16 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 17 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "Creating Subject: 18 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "----------------------------------------------------------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 19 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", - "\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 886 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Creating Subject: 888 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 887 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 889 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 890 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 891 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", - "--------------------------------------------------\n", - "\n", - "Creating Subject: 892 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 893 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 894 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 895 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 896 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 897 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 898 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 899 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 900 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 901 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 903 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "Creating Subject: 902 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 904 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 905 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 906 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 908 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "Creating Subject: 907 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 909 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 910 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 912 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "Creating Subject: 911 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 913 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 914 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 915 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 916 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------Creating Subject: 917 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "--------------------------------------------------\n", - "Creating Subject: 918 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 919 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 920 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 921 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 922 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "--------------------------------------------------\n", - "Creating Subject: 923 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Creating Subject: 924 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 925 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "--------------------------------------------------\n", - "Creating Subject: 926 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", - "Creating Subject: 927 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 928 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 929 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 930 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 931 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "Creating Subject: 932 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", - "\n", - "--------------------------------------------------\n", - "Creating Subject: 933 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 934 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 936 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "Creating Subject: 935 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Creating Subject: 937 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 938 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 939 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 941 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "\n", - "Creating Subject: 940 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 942 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "\n", - "--------------------------------------------------\n", - "Creating Subject: 943 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 944 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 945 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 946 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 947 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 948 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 950 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "Creating Subject: 949 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 951 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 952 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 953 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 954 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "Creating Subject: 955 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Creating Subject: 956 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "--------------------------------------------------\n", - "Creating Subject: 957 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 958 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 959 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 960 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "--------------------------------------------------\n", - "Creating Subject: 961 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 962 Nro. Processor: <_MainProcess(MainProcess, started)>Creating Subject: 963 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 964 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 965 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 967 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "Creating Subject: 966 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 968 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", - "--------------------------------------------------\n", - "\n", - "Creating Subject: 969 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 970 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 971 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 973 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Creating Subject: 972 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 974 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 975 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "--------------------------------------------------\n", - "Creating Subject: 976 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 977 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 978 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 979 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 980 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 981 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 982 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Creating Subject: 983 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 984 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 986 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 985 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "\n", - "--------------------------------------------------\n", - "\n", - "Creating Subject: 987 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 988 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 989 Nro. Processor: <_MainProcess(MainProcess, started)>--------------------------------------------------\n", - "Creating Subject: 990 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 991 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 992 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 993 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Creating Subject: 994 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 995 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 996 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "Creating Subject: 997 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "Creating Subject: 998 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Creating Subject: 999 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Finish creating population\n", - "Finish\n", - "Running mixer with porpulationBased (Count: 1001)\n", - "Normalizing data\n", - "Processing...\n", - "----------------------------------------------------------------------------------------------------\n", - "Subject: 1 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 0 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "\n", - "Subject: 2 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "----------------------------------------------------------------------------------------------------\n", - "\n", - "Subject: 3 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 1Iter: 1 Subject: 3\n", - "\n", - "Iter: 1 Subject: 2\n", - "Iter: 1 Subject: 0\n", - "Iter: 2 Subject: 3Iter: 2 Subject: 1\n", - "\n", - "Iter: 2 Subject: 2\n", - "Iter: 2 Subject: 0\n", - "Iter: 3 Subject: 3\n", - "--------------------------------------------------\n", - "Subject: 4 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 5 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 3 Subject: 2\n", - "--------------------------------------------------\n", - "Subject: 6 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 4\n", - "--------------------------------------------------\n", - "Subject: 7 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 5\n", - "Iter: 1 Subject: 6\n", - "Iter: 1 Subject: 7\n", - "Iter: 2 Subject: 4\n", - "Iter: 2 Subject: 5\n", - "Iter: 2 Subject: 6\n", - "Iter: 2 Subject: 7Iter: 3 Subject: 4\n", - "\n", - "Iter: 3 Subject: 5\n", - "Iter: 3 Subject: 6\n", - "--------------------------------------------------\n", - "--------------------------------------------------Subject: 8 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "Subject: 9 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 10 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 11 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 8\n", - "Iter: 1 Subject: 9\n", - "Iter: 1 Subject: 10\n", - "Iter: 2 Subject: 8\n", - "Iter: 1 Subject: 11Iter: 2 Subject: 9\n", - "\n", - "Iter: 2 Subject: 10\n", - "Iter: 2 Subject: 11\n", - "--------------------------------------------------\n", - "Subject: 12 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 3 Subject: 9\n", - "Iter: 3 Subject: 10\n", - "--------------------------------------------------\n", - "Subject: 13 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 3 Subject: 11\n", - "Iter: 1 Subject: 12\n", - "--------------------------------------------------\n", - "Subject: 14 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 13\n", - "--------------------------------------------------\n", - "Subject: 15 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 12\n", - "Iter: 2 Subject: 13\n", - "Iter: 1 Subject: 14\n", - "Iter: 3 Subject: 12\n", - "Iter: 1 Subject: 15\n", - "Iter: 3 Subject: 13\n", - "Iter: 4 Subject: 12Iter: 2 Subject: 14\n", - "\n", - "Iter: 2 Subject: 15\n", - "--------------------------------------------------\n", - "Subject: 16 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 17 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "--------------------------------------------------\n", - "Subject: 18 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 3 Subject: 15\n", - "Iter: 1 Subject: 16\n", - "Iter: 1 Subject: 17\n", - "--------------------------------------------------\n", - "Subject: 19 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------Iter: 1 Subject: 18\n", - "\n", - "Iter: 2 Subject: 17\n", - "Iter: 2 Subject: 16\n", - "Iter: 1 Subject: 19\n", - "Iter: 2 Subject: 18\n", - "--------------------------------------------------\n", - "Subject: 20 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 21 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 19\n", - "Iter: 3 Subject: 18\n", - "Iter: 1 Subject: 20\n", - "Iter: 1 Subject: 21Iter: 3 Subject: 19\n", - "\n", - "--------------------------------------------------\n", - "Subject: 22 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 20\n", - "--------------------------------------------------Iter: 1 Subject: 22\n", - "Subject: 23 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "Iter: 2 Subject: 21\n", - "--------------------------------------------------\n", - "Subject: 24 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------Iter: 2 Subject: 22\n", - "Iter: 1 Subject: 23\n", - "--------------------------------------------------\n", - "Subject: 25 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "\n", - "Iter: 3 Subject: 22\n", - "Iter: 2 Subject: 23\n", - "Iter: 1 Subject: 24\n", - "Iter: 1 Subject: 25\n", - "--------------------------------------------------\n", - "Subject: 26 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 27 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 24\n", - "Iter: 2 Subject: 25\n", - "Iter: 1 Subject: 27\n", - "Iter: 1 Subject: 26\n", - "Iter: 3 Subject: 24\n", - "Iter: 3 Subject: 25\n", - "Iter: 2 Subject: 26\n", - "Iter: 2 Subject: 27\n", - "--------------------------------------------------\n", - "Subject: 28 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 29 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 30 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 29\n", - "Iter: 1 Subject: 28\n", - "Iter: 3 Subject: 27\n", - "Iter: 1 Subject: 30\n", - "Iter: 2 Subject: 28--------------------------------------------------\n", - "\n", - "Subject: 31 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 29\n", - "Iter: 3 Subject: 28\n", - "Iter: 2 Subject: 30Iter: 1 Subject: 31\n", - "\n", - "Iter: 3 Subject: 29\n", - "--------------------------------------------------\n", - "Subject: 32 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 33 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 31\n", - "Iter: 4 Subject: 29\n", - "--------------------------------------------------\n", - "Subject: 34 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 32\n", - "Iter: 1 Subject: 33\n", - "--------------------------------------------------\n", - "Subject: 35 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 34Iter: 2 Subject: 33\n", - "Iter: 2 Subject: 32\n", - "\n", - "Iter: 1 Subject: 35\n", - "Iter: 3 Subject: 32\n", - "--------------------------------------------------\n", - "Subject: 36 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 3 Subject: 33\n", - "Iter: 2 Subject: 34\n", - "--------------------------------------------------\n", - "Subject: 37 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 38 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 35\n", - "Iter: 1 Subject: 36\n", - "Iter: 1 Subject: 37\n", - "Iter: 1 Subject: 38\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 36\n", - "Subject: 39 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 37\n", - "Iter: 2 Subject: 38\n", - "Iter: 1 Subject: 39\n", - "Iter: 3 Subject: 36\n", - "--------------------------------------------------\n", - "Subject: 40 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 3 Subject: 38\n", - "Iter: 2 Subject: 39\n", - "--------------------------------------------------\n", - "Subject: 41 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 40\n", - "--------------------------------------------------\n", - "Subject: 42 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 43 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 997\n", - "Iter: 3 Subject: 996\n", - "Iter: 4 Subject: 996\n", - "Iter: 1 Subject: 999Iter: 1 Subject: 998\n", - "\n", - "Iter: 2 Subject: 999\n", - "Iter: 2 Subject: 998\n", - "Iter: 3 Subject: 999\n", - "Iter: 3 Subject: 998\n", - "Iter: 4 Subject: 999\n", - "Iter: 4 Subject: 998\n", - "_____________________________________________________________________\n", - "Finish nuSvm\n", - "Finish\n" - ] - } - ], - "source": [ - "# Run Mixer Function\n", - "if __name__ == '__main__':\n", - " result2, pValues2 = Mixture.Mixture(X, Y , cores, iters, output)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Terminado\n" - ] - } - ], - "source": [ - "print('Terminado')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.3" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/celllines xlsx.ipynb b/celllines xlsx.ipynb deleted file mode 100644 index bdc4419..0000000 --- a/celllines xlsx.ipynb +++ /dev/null @@ -1,4443 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import os\n", - "import sys\n", - "import Mixture\n", - "import multiprocessing\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Num cores: 4\n" - ] - } - ], - "source": [ - "print('Num cores: ' + str(multiprocessing.cpu_count()))\n", - "\n", - "cores = 4\n", - "iters = 1\n", - "output = 'cellinesout'\n", - "\n", - "if cores > multiprocessing.cpu_count():\n", - " cores = multiprocessing.cpu_count()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# Read xlsx files\n", - "X = pd.read_excel('app/data/TIL10_signature.xlsx', sheet_name = 0) " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# Read xlsx files\n", - "Y = pd.read_excel('data/Celllines.xlsx', sheet_name = 0) " - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    15CFTR8.1396668.7176727.4473807.7279898.7052207.7604267.7419327.9054168.527271...8.0160937.9053988.6314197.4272298.4381938.7309488.53881410.3582948.2603127.860545
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    16532 rows Ă— 1019 columns

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    " - ], - "text/plain": [ - " Gene symbol 906826 687983 910927 1240138 \\\n", - "0 TSPAN6 198.366304 187.230436 419.444908 222.419924 \n", - "1 TNMD 7.806009 6.857659 6.248491 7.051465 \n", - "2 DPM1 1332.160907 3583.966033 942.750905 944.541755 \n", - "3 SCYL3 12.250715 16.759262 15.521864 16.722300 \n", - "4 C1orf112 10.415653 13.291985 9.425833 11.781195 \n", - "... ... ... ... ... ... \n", - "16527 LINC00526 110.425145 39.888776 8.833626 8.900557 \n", - "16528 KRT18P55 10.064016 7.959133 7.395121 14.046309 \n", - "16529 POLRMTP1 8.758575 9.586355 9.039474 8.423571 \n", - "16530 UBL5P2 1014.544078 512.999579 553.808337 994.814559 \n", - "16531 TBC1D3P5 8.419436 8.001009 7.548942 9.556614 \n", - "\n", - " 1240139 906792 910688 1240135 1290812 ... \\\n", - "0 212.198047 134.786621 9.748621 124.638529 61.522661 ... \n", - "1 7.769056 7.411045 7.101891 7.334766 6.439167 ... \n", - "2 1368.936470 875.514199 1229.950967 1181.113002 1260.479567 ... \n", - "3 20.273176 19.305001 62.603333 13.132165 14.401152 ... \n", - "4 14.324103 14.074927 8.066077 9.636096 10.216540 ... \n", - "... ... ... ... ... ... ... \n", - "16527 12.576511 47.647336 37.085502 18.271588 17.313812 ... \n", - "16528 10.648559 7.998002 7.421796 10.982643 7.812968 ... \n", - "16529 9.276274 10.425989 9.190263 7.106077 8.930525 ... \n", - "16530 981.590689 420.167311 673.943381 879.015640 712.913048 ... \n", - "16531 10.527754 11.293640 9.148307 9.543633 8.833999 ... \n", - "\n", - " 753584 907044 998184 908145 1659787 \\\n", - "0 137.724074 9.425070 8.218597 331.582284 122.121882 \n", - "1 6.958841 6.704533 7.870230 7.222767 6.158717 \n", - "2 1434.652440 1392.007683 1271.188200 1403.516091 1368.590676 \n", - "3 12.967555 24.658494 20.372112 14.501411 15.428870 \n", - "4 13.240021 15.430837 13.992517 9.170420 14.072733 \n", - "... ... ... ... ... ... \n", - "16527 19.998876 34.114570 11.426724 35.361134 24.331695 \n", - "16528 9.562731 10.010432 9.524358 8.231881 9.026219 \n", - "16529 6.838728 7.935110 11.426698 9.542098 8.810404 \n", - "16530 772.704052 727.126167 986.195846 948.986581 1037.551842 \n", - "16531 10.609316 9.559265 9.125935 8.910978 10.250768 \n", - "\n", - " 1298157 1480372 1298533 930299 905954.1 \n", - "0 347.682936 343.203766 272.338050 8.647798 142.333051 \n", - "1 6.230190 7.360939 5.740469 7.313022 7.131893 \n", - "2 2824.425590 1507.327754 1773.950376 938.297720 1768.387206 \n", - "3 21.493812 11.715849 21.755929 19.250548 17.154241 \n", - "4 20.889876 18.990272 8.405648 9.383959 10.821246 \n", - "... ... ... ... ... ... \n", - "16527 34.246447 18.941097 33.938338 31.693689 20.565258 \n", - "16528 10.152220 10.648353 12.470003 8.831391 7.608029 \n", - "16529 8.041709 8.508124 7.197547 7.124755 7.047236 \n", - "16530 644.569877 1713.405686 373.430458 955.789824 538.179233 \n", - "16531 10.818368 9.972426 9.028677 9.471302 10.017959 \n", - "\n", - "[16532 rows x 1019 columns]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "YY" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Running mixer with subjects (Count: 1019)...\n", - "Normalizing data\n", - "Processing...\n", - "------------------------------------------------------------------------------------------------------------------------------------------------------\n", - "\n", - "Subject: 910927 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Subject: 906826 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "\n", - "Subject: 1240138 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Subject: 687983 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 1240138\n", - "Iter: 1 Subject: 906826Iter: 1 Subject: 687983\n", - "\n", - "Iter: 1 Subject: 910927\n", - "Iter: 2 Subject: 906826\n", - "Iter: 2 Subject: 1240138\n", - "Iter: 2 Subject: 910927\n", - "Iter: 2 Subject: 687983\n", - "--------------------------------------------------\n", - "Subject: 1240139 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 3 Subject: 910927\n", - "Iter: 3 Subject: 1240138\n", - "Iter: 3 Subject: 687983\n", - "Iter: 1 Subject: 1240139\n", - "--------------------------------------------------\n", - "Subject: 906792 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Iter: 4 Subject: 687983\n", - "Subject: 910688 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 1240139\n", - "Subject: 1240135 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 909750\n", - "Iter: 1 Subject: 1240137\n", - "Iter: 2 Subject: 906830\n", - "Iter: 1 Subject: 753552\n", - "Iter: 2 Subject: 909750Iter: 2 Subject: 1240137\n", - "\n", - "--------------------------------------------------\n", - "Subject: 907065 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 3 Subject: 906830\n", - "Iter: 2 Subject: 753552\n", - "--------------------------------------------------\n", - "Subject: 925338 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 1290809 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 1290809\n", - "Iter: 1 Subject: 949158\n", - "Iter: 1 Subject: 924110--------------------------------------------------\n", - "\n", - "Subject: 907172 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 949158\n", - "Iter: 1 Subject: 1240134\n", - "--------------------------------------------------\n", - "Subject: 687452 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 2 Subject: 924110\n", - "Iter: 1 Subject: 907172\n", - "Iter: 2 Subject: 1240134\n", - "Iter: 3 Subject: 924110Iter: 2 Subject: 907172\n", - "\n", - "Iter: 1 Subject: 687452\n", - "Iter: 3 Subject: 1240134\n", - "--------------------------------------------------\n", - "Subject: 1298134 Nro. 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Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "--------------------------------------------------\n", - "Subject: 687829 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 4 Subject: 1240141Iter: 2 Subject: 1290810\n", - "\n", - "Iter: 1 Subject: 753618\n", - "--------------------------------------------------\n", - "Subject: 949155 Nro. Processor: <_MainProcess(MainProcess, started)>\n", - "--------------------------------------------------\n", - "Iter: 1 Subject: 687829\n", - "Iter: 3 Subject: 1290810\n", - "Iter: 2 Subject: 753618\n", - "Iter: 2 Subject: 687829Iter: 1 Subject: 949155\n", - "\n" - ] - } - ], - "source": [ - "# Run Mixer Function\n", - "if __name__ == '__main__':\n", - " result, pValues = Mixture.Mixture(X, YY , cores, iters, output)" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'result' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0moo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSubjects\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMIXprop\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_numpy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcopy\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0moo\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mNameError\u001b[0m: name 'result' is not defined" - ] - } - ], - "source": [ - "oo = result.Subjects[0].MIXprop[0].to_numpy(copy = True)\n", - "oo" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "a = [result.Subjects[0].MIXprop[0].iloc[j].values for j in range(len(result.Subjects[0].MIXprop[0]))]" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[0.90256962, 0.7136939 , 0.79589517, 0.46974898, 0.60193307,\n", - " 0.49398868, 0.70989344, 0.88472318, 0.89564802, 0.67255126,\n", - " 0.56230175, 0.93644457, 0.54997657, 0.66715859],\n", - " [0.09743038, 0.1289198 , 0.09674959, 0.30925149, 0.11220227,\n", - " 0.12679016, 0.14510445, 0.0553045 , 0. , 0.15353534,\n", - " 0.08673577, 0.01161619, 0.04595101, 0.13556801],\n", - " [0. , 0. , 0. , 0. , 0.16187135,\n", - " 0.06592614, 0. , 0. , 0. , 0. ,\n", - " 0.20400794, 0. , 0.06601392, 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. ],\n", - " [0. , 0.11802777, 0. , 0.18748422, 0.10233414,\n", - " 0.26288403, 0.05838125, 0. , 0.10435198, 0.13137347,\n", - " 0.12470417, 0. , 0.30917694, 0.15357514],\n", - " [0. , 0.03935852, 0.03918719, 0.03351531, 0.02165916,\n", - " 0.05041099, 0.05919139, 0. , 0. , 0.02168938,\n", - " 0.02225037, 0. , 0.02888156, 0.04369827],\n", - " [0. , 0. , 0.06816806, 0. , 0. ,\n", - " 0. , 0.02742947, 0.05997232, 0. , 0.02085054,\n", - " 0. , 0.05193924, 0. , 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. ]])" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.transpose(a)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    B.cellsMacrophages.M1Macrophages.M2MonocytesNeutrophilsNK.cellsT.cells.CD4T.cells.CD8TregsDendritic.cells
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    GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz0.6019330.1122020.1618710.00.00.00.1023340.0216590.0000000.0
    GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz0.4939890.1267900.0659260.00.00.00.2628840.0504110.0000000.0
    GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz0.7098930.1451040.0000000.00.00.00.0583810.0591910.0274290.0
    GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz0.8847230.0553050.0000000.00.00.00.0000000.0000000.0599720.0
    GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz0.8956480.0000000.0000000.00.00.00.1043520.0000000.0000000.0
    GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz0.6725510.1535350.0000000.00.00.00.1313730.0216890.0208510.0
    GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz0.5623020.0867360.2040080.00.00.00.1247040.0222500.0000000.0
    GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz0.9364450.0116160.0000000.00.00.00.0000000.0000000.0519390.0
    GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz0.5499770.0459510.0660140.00.00.00.3091770.0288820.0000000.0
    GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz0.6671590.1355680.0000000.00.00.00.1535750.0436980.0000000.0
    \n", - "
    " - ], - "text/plain": [ - " B.cells \\\n", - "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.902570 \n", - "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.713694 \n", - "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.795895 \n", - "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.469749 \n", - "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.601933 \n", - "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.493989 \n", - "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.709893 \n", - "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.884723 \n", - "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.895648 \n", - "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.672551 \n", - "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.562302 \n", - "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.936445 \n", - "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.549977 \n", - "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.667159 \n", - "\n", - " Macrophages.M1 \\\n", - "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.097430 \n", - "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.128920 \n", - "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.096750 \n", - "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.309251 \n", - "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.112202 \n", - "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.126790 \n", - "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.145104 \n", - "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.055305 \n", - "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.000000 \n", - "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.153535 \n", - "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.086736 \n", - "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.011616 \n", - "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.045951 \n", - "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.135568 \n", - "\n", - " Macrophages.M2 \\\n", - "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.000000 \n", - "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.000000 \n", - "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.000000 \n", - "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.000000 \n", - "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.161871 \n", - "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.065926 \n", - "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.000000 \n", - "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.000000 \n", - "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.000000 \n", - "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.000000 \n", - "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.204008 \n", - "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.000000 \n", - "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.066014 \n", - "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.000000 \n", - "\n", - " Monocytes Neutrophils \\\n", - "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.0 0.0 \n", - "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.0 0.0 \n", - "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.0 0.0 \n", - "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.0 0.0 \n", - "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.0 0.0 \n", - "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.0 0.0 \n", - "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.0 0.0 \n", - "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.0 0.0 \n", - "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.0 0.0 \n", - "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.0 0.0 \n", - "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.0 0.0 \n", - "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.0 0.0 \n", - "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.0 0.0 \n", - "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.0 0.0 \n", - "\n", - " NK.cells T.cells.CD4 \\\n", - "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.0 0.000000 \n", - "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.0 0.118028 \n", - "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.0 0.000000 \n", - "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.0 0.187484 \n", - "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.0 0.102334 \n", - "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.0 0.262884 \n", - "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.0 0.058381 \n", - "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.0 0.000000 \n", - "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.0 0.104352 \n", - "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.0 0.131373 \n", - "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.0 0.124704 \n", - "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.0 0.000000 \n", - "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.0 0.309177 \n", - "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.0 0.153575 \n", - "\n", - " T.cells.CD8 Tregs \\\n", - "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.000000 0.000000 \n", - "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.039359 0.000000 \n", - "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.039187 0.068168 \n", - "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.033515 0.000000 \n", - "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.021659 0.000000 \n", - "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.050411 0.000000 \n", - "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.059191 0.027429 \n", - "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.000000 0.059972 \n", - "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.000000 0.000000 \n", - "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.021689 0.020851 \n", - "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.022250 0.000000 \n", - "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.000000 0.051939 \n", - "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.028882 0.000000 \n", - "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.043698 0.000000 \n", - "\n", - " Dendritic.cells \n", - "GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz 0.0 \n", - "GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz 0.0 \n", - "GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz 0.0 \n", - "GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz 0.0 \n", - "GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz 0.0 \n", - "GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz 0.0 \n", - "GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz 0.0 \n", - "GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz 0.0 \n", - "GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz 0.0 \n", - "GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz 0.0 \n", - "GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz 0.0 \n", - "GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz 0.0 \n", - "GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz 0.0 \n", - "GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz 0.0 " - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "result.Subjects[0].MIXprop[0]" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[{'index': 'GSM1587831_FL_lymph_node_biopsy_untreated_1063.CEL.gz',\n", - " 'RMSEa': 0.7356467701374008,\n", - " 'RMSEp': 1.3580584756979353,\n", - " 'Ra': 0.7659924064451571,\n", - " 'Rp': 0.7659924064451571,\n", - " 'BestParams': 0.25,\n", - " 'Iter': 4,\n", - " 'IscBySbj': 1.3614559595090132,\n", - " 'IscPob': 1.4338058519231907},\n", - " {'index': 'GSM1587832_FL_lymph_node_biopsy_untreated_1080.CEL.gz',\n", - " 'RMSEa': 0.7505897249244129,\n", - " 'RMSEp': 1.090406026517986,\n", - " 'Ra': 0.7110050497112939,\n", - " 'Rp': 0.7110050497112943,\n", - " 'BestParams': 0.75,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.4812507549846523,\n", - " 'IscPob': 1.7360281133525028},\n", - " {'index': 'GSM1587833_FL_lymph_node_biopsy_untreated_575.CEL.gz',\n", - " 'RMSEa': 0.732099068814191,\n", - " 'RMSEp': 1.2091834335647023,\n", - " 'Ra': 0.7288513928726023,\n", - " 'Rp': 0.7288513928726023,\n", - " 'BestParams': 0.75,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.5709810234715755,\n", - " 'IscPob': 1.3941344285023054},\n", - " {'index': 'GSM1587834_FL_lymph_node_biopsy_untreated_581.CEL.gz',\n", - " 'RMSEa': 0.7275200560756733,\n", - " 'RMSEp': 0.7677020173040355,\n", - " 'Ra': 0.7341321745726567,\n", - " 'Rp': 0.7341321745726567,\n", - " 'BestParams': 0.5,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.6949098559698745,\n", - " 'IscPob': 1.6767992068424078},\n", - " {'index': 'GSM1587835_FL_lymph_node_biopsy_untreated_598.CEL.gz',\n", - " 'RMSEa': 0.7645339483233782,\n", - " 'RMSEp': 0.9480152081799849,\n", - " 'Ra': 0.7073580843178506,\n", - " 'Rp': 0.7073580843178509,\n", - " 'BestParams': 0.75,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.4244382418785955,\n", - " 'IscPob': 1.4254052018177612},\n", - " {'index': 'GSM1587836_FL_lymph_node_biopsy_untreated_639.CEL.gz',\n", - " 'RMSEa': 0.8357526440717506,\n", - " 'RMSEp': 0.9220692012485019,\n", - " 'Ra': 0.603599701930536,\n", - " 'Rp': 0.6035997019305361,\n", - " 'BestParams': 0.5,\n", - " 'Iter': 4,\n", - " 'IscBySbj': 1.5198711858383502,\n", - " 'IscPob': 1.7544527697105345},\n", - " {'index': 'GSM1587837_FL_lymph_node_biopsy_untreated_664.CEL.gz',\n", - " 'RMSEa': 0.7890824338319162,\n", - " 'RMSEp': 1.1467157955213947,\n", - " 'Ra': 0.662757463529935,\n", - " 'Rp': 0.6627574635299351,\n", - " 'BestParams': 0.5,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.5299931536787006,\n", - " 'IscPob': 1.5963206231304197},\n", - " {'index': 'GSM1587838_FL_lymph_node_biopsy_untreated_666.CEL.gz',\n", - " 'RMSEa': 0.8181283890228448,\n", - " 'RMSEp': 1.5053263997506567,\n", - " 'Ra': 0.6158581588113806,\n", - " 'Rp': 0.6158581588113806,\n", - " 'BestParams': 0.75,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.4666248239439506,\n", - " 'IscPob': 1.3107743675863595},\n", - " {'index': 'GSM1587839_FL_lymph_node_biopsy_untreated_695.CEL.gz',\n", - " 'RMSEa': 0.738484399659218,\n", - " 'RMSEp': 1.4016467133867787,\n", - " 'Ra': 0.717762987535987,\n", - " 'Rp': 0.7177629875359868,\n", - " 'BestParams': 0.5,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.3038483337900335,\n", - " 'IscPob': 1.1124117209595081},\n", - " {'index': 'GSM1587840_FL_lymph_node_biopsy_untreated_706.CEL.gz',\n", - " 'RMSEa': 0.8444033804632818,\n", - " 'RMSEp': 1.0593343920275025,\n", - " 'Ra': 0.6840760505412941,\n", - " 'Rp': 0.6840760505412938,\n", - " 'BestParams': 0.5,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.4653159078042208,\n", - " 'IscPob': 1.3889594811732004},\n", - " {'index': 'GSM1587841_FL_lymph_node_biopsy_untreated_726.CEL.gz',\n", - " 'RMSEa': 0.7574527293730309,\n", - " 'RMSEp': 0.9156376633520333,\n", - " 'Ra': 0.6965434899346512,\n", - " 'Rp': 0.6965434899346511,\n", - " 'BestParams': 0.75,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.3842983256700507,\n", - " 'IscPob': 1.267873749017242},\n", - " {'index': 'GSM1587842_FL_lymph_node_biopsy_untreated_731.CEL.gz',\n", - " 'RMSEa': 0.7272371774257491,\n", - " 'RMSEp': 1.4552726472482724,\n", - " 'Ra': 0.7387176417109829,\n", - " 'Rp': 0.7387176417109832,\n", - " 'BestParams': 0.75,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.6252912321302102,\n", - " 'IscPob': 1.6694893908251813},\n", - " {'index': 'GSM1587843_FL_lymph_node_biopsy_untreated_944.CEL.gz',\n", - " 'RMSEa': 0.7754653074972279,\n", - " 'RMSEp': 0.9107204618211545,\n", - " 'Ra': 0.665374889094444,\n", - " 'Rp': 0.665374889094444,\n", - " 'BestParams': 0.75,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.6102328167574849,\n", - " 'IscPob': 1.514096545250108},\n", - " {'index': 'GSM1587844_FL_lymph_node_biopsy_untreated_959.CEL.gz',\n", - " 'RMSEa': 0.817035910688728,\n", - " 'RMSEp': 1.132628635352565,\n", - " 'Ra': 0.6139840261413105,\n", - " 'Rp': 0.6139840261413106,\n", - " 'BestParams': 0.75,\n", - " 'Iter': 3,\n", - " 'IscBySbj': 1.461235334393658,\n", - " 'IscPob': 1.5882348967389759}]" - ] - }, - "execution_count": 56, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "absolute = result.Subjects[0].MIXabs[0].reset_index().to_dict('records')\n", - "proportions = result.Subjects[0].MIXprop[0].reset_index().to_dict('records')\n", - "metrics = result.Subjects[0].ACCmetrix[0].reset_index().to_dict('records')\n", - "metrics.to_dict('records')" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1.7015024184163652" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.mean(result.Subjects[0].ACCmetrix[0].IscBySbj.values)+2*np.std(result.Subjects[0].ACCmetrix[0].IscBySbj.values)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'subject' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# Getting Real Betas Matrix\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mvector\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0msubject\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0mcolumns\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'V'\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msubject\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mBetas\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumn_stack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvector\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mNameError\u001b[0m: name 'subject' is not defined" - ] - } - ], - "source": [ - "# Getting Real Betas Matrix\n", - "vector = [x[0] for x in subject]\n", - "columns = ['V' + str(x+1) for x in range(len(subject))]\n", - "Betas = pd.DataFrame(np.column_stack(vector), columns=columns)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def blandAltman (betas, result):\n", - " betahat = result.Subjects[0].MIXprop[0].T.to_numpy(copy=True)\n", - " betahat = betahat.flatten()\n", - " \n", - " betasim = betas.to_numpy(copy=True)\n", - " betasim = betasim.flatten()\n", - " \n", - " df = pd.DataFrame(np.transpose([betahat, betasim, (betahat - betasim)]), columns = ['betahat', 'betasim', 'difs'])\n", - " summary = pd.DataFrame([[np.mean(df.difs),np.std(df.difs),np.min(df.difs),np.max(df.difs)]], columns = ['mn', 'sd', 'mi', 'mx'])\n", - " return df, summary\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "ba, summary = blandAltman (Betas, result)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def blandAltamGraph(ba, summary):\n", - " fig, ax = plt.subplots(figsize=(16,8))\n", - " ax.plot(ba.betasim, ba.difs, 'k.')\n", - " plt.xlabel('Beta Sim')\n", - " plt.ylabel('Difs')\n", - " ax.axhline(summary.mn[0])\n", - " ax.axhline(summary.mn[0]+2*summary.sd[0])\n", - " ax.axhline(summary.mn[0]-2*summary.sd[0])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "blandAltamGraph(ba, summary)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "cc = pd.read_excel('data/outputCellines.xlsx', sheet_name = 1) \n", - "cc.index = cc.iloc[:,0].astype(int)\n", - "cc = cc.iloc[:, 1:]\n", - "cc.index.name = 'Subjects'" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'B cells naive'" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cc.iloc[:, 0].name" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.3" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/data/TIL10_signature.xlsx b/data/TIL10_signature.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..5ad42c0cc1b4601be683d4c3046a93ec4b99d096 GIT binary patch literal 28578 zcmaI6W0WM}(ly#$)3$BfwlQtnnzp8G+csy~wq0$T)3)utea`#cb-zFN&0H%hS62Oa zp4dAgcI-+;nIB+iAW%?HAY;FA6hQv31LynR-G&4L7dzPMlZ9K`zsTci2~jFKQCIvir5Uvw?zprVjQitx z^@>M-%9kyVwg+7(F^=C#&u4>9qN`Nt{AjeJRqSx?|Ee`vhDR_c^2%cxfrp-SB1mAJ zRgN>>re$P-ytjQh;6D%~!CxUAs|m_e=5T{vG%zQ)@`SaAUawO0J%1;=yKTu3ud3PF z^ad!(Ktd^8zj)4l@0%O|0;2f;8yU3!iH!3vBPTOcmETU5b{5Y62~3KnobxUhQrA^Y zeyc(_9PtF2QTb+~S)7>`Ev?o_4Ea_t4U^WntlZ~EWX{03<=Fw&EnU;=-ou%`?}sB_ zba%^Srxp|ZyXKkAT4~(|Fc!){+ubu+jc2Aq` zjl5khqMfe9z@iqruP2@H9$zi`w-2kAD|Um|yC>JqIosvf*QdR_k^v`{ z%G4y-N5AWn#cF;$PbeK*x1;&9@yE7{8k(CM1(fq76}Po6M0)ci+kc_s@Lt#O&F{TI z0}AKp-;%S1HMn7XVeF14OwJr(B`+`Jj3x?97F!(+;r?CM?A)L 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ztF`?*@3zs5o9u&_g2N?Ym8Ah~K8`9ks$RfvbN>gveu=j_D(Ur+w04%#UEPr#do2Lb?q^&cW6Z~(xY&VN_xtrVnW)>eDcdzkA#=V(+bNatsR>1#8Te^B! z|8KZMBVGdE8?K880O0;N7y!6K1po}et}b5IE?%Zu{%+Qu#{ZiD4~fn*-2@?E;Km0) z^dAC_Z&CRF;r6t%w)XPm_`d_!|EBWaUktqeP+3|e{J(LxGxxBz()9AMcd`Bd;YWH4 SD*%A{c1yg?-L?I{tp6Vcnt-tY literal 0 HcmV?d00001 diff --git a/hook-scipy.py b/hook-scipy.py deleted file mode 100644 index 2ab1be0..0000000 --- a/hook-scipy.py +++ /dev/null @@ -1,2 +0,0 @@ -from PyInstaller.utils.hooks import collect_submodules -hiddenimports = collect_submodules('scipy') diff --git a/hook-sklearn.py b/hook-sklearn.py deleted file mode 100644 index 733debd..0000000 --- a/hook-sklearn.py +++ /dev/null @@ -1,2 +0,0 @@ -from PyInstaller.utils.hooks import collect_submodules -hiddenimports = collect_submodules('sklearn') diff --git a/pyread.py b/pyread.py deleted file mode 100644 index 532c1d5..0000000 --- a/pyread.py +++ /dev/null @@ -1,7 +0,0 @@ -import pyreadr - -result = pyreadr.read_r('betas.list.rds') - -print(result.keys()) # let's check what objects we got: there is only None -df1 = result[None] -print(df1) \ No newline at end of file diff --git a/read celllines.ipynb b/read celllines.ipynb deleted file mode 100644 index d8ebee5..0000000 --- a/read celllines.ipynb +++ /dev/null @@ -1,988 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import numpy as np" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "X = pd.read_excel('app/data/outputCellines(2).xlsx', sheet_name = 1) \n", - "X.index = X.iloc[:,0].astype(int)\n", - "X.index.name = 'Subjects'\n", - "result3 = X.iloc[:, 1:]" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "

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    B cells naiveB cells memoryPlasma cellsT cells CD8T cells CD4 naiveT cells CD4 memory restingT cells CD4 memory activatedT cells follicular helperT cells regulatory (Tregs)T cells gamma delta...MonocytesMacrophages M0Macrophages M1Macrophages M2Dendritic cells restingDendritic cells activatedMast cells restingMast cells activatedEosinophilsNeutrophils
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    1018 rows Ă— 22 columns

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    B cells naiveB cells memoryPlasma cellsT cells CD8T cells CD4 naiveT cells CD4 memory restingT cells CD4 memory activatedT cells follicular helperT cells regulatory (Tregs)T cells gamma delta...MonocytesMacrophages M0Macrophages M1Macrophages M2Dendritic cells restingDendritic cells activatedMast cells restingMast cells activatedEosinophilsNeutrophils
    Subjects
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    ..................................................................
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    977 rows Ă— 22 columns

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    " - ], - "text/plain": [ - " B cells naive B cells memory Plasma cells T cells CD8 \\\n", - "Subjects \n", - "906826 0.000000 0.0 0.345776 0.0 \n", - "687983 0.000000 0.0 0.000000 0.0 \n", - "1240138 0.000000 0.0 0.000000 0.0 \n", - "1240139 0.000000 0.0 0.087772 0.0 \n", - "906792 0.000000 0.0 0.262769 0.0 \n", - "... ... ... ... ... \n", - "1298157 0.229618 0.0 0.286891 0.0 \n", - "1480372 0.179031 0.0 0.000000 0.0 \n", - "1298533 0.026337 0.0 0.083086 0.0 \n", - "930299 0.043072 0.0 0.000000 0.0 \n", - "905954 0.000000 0.0 0.000000 0.0 \n", - "\n", - " T cells CD4 naive T cells CD4 memory resting \\\n", - "Subjects \n", - "906826 0.000000 0.437601 \n", - "687983 0.000000 0.000000 \n", - "1240138 0.276668 0.000000 \n", - "1240139 0.260919 0.000000 \n", - "906792 0.000000 0.000000 \n", - "... ... ... \n", - "1298157 0.000000 0.000000 \n", - "1480372 0.000000 0.000000 \n", - "1298533 0.196231 0.000000 \n", - "930299 0.000000 0.000000 \n", - "905954 0.000000 0.000000 \n", - "\n", - " T cells CD4 memory activated T cells follicular helper \\\n", - "Subjects \n", - "906826 0.0 0.000000 \n", - "687983 0.0 0.386427 \n", - "1240138 0.0 0.000000 \n", - "1240139 0.0 0.000000 \n", - "906792 0.0 0.279801 \n", - "... ... ... \n", - "1298157 0.0 0.000000 \n", - "1480372 0.0 0.000000 \n", - "1298533 0.0 0.000000 \n", - "930299 0.0 0.478240 \n", - "905954 0.0 0.000000 \n", - "\n", - " T cells regulatory (Tregs) T cells gamma delta ... Monocytes \\\n", - "Subjects ... \n", - "906826 0.00000 0.0 ... 0.0 \n", - "687983 0.00000 0.0 ... 0.0 \n", - "1240138 0.00000 0.0 ... 0.0 \n", - "1240139 0.00000 0.0 ... 0.0 \n", - "906792 0.00000 0.0 ... 0.0 \n", - "... ... ... ... ... \n", - "1298157 0.00000 0.0 ... 0.0 \n", - "1480372 0.66837 0.0 ... 0.0 \n", - "1298533 0.00000 0.0 ... 0.0 \n", - "930299 0.00000 0.0 ... 0.0 \n", - "905954 0.00000 0.0 ... 0.0 \n", - "\n", - " Macrophages M0 Macrophages M1 Macrophages M2 \\\n", - "Subjects \n", - "906826 0.000000 0.0 0.0 \n", - "687983 0.000000 0.0 0.0 \n", - "1240138 0.000000 0.0 0.0 \n", - "1240139 0.000000 0.0 0.0 \n", - "906792 0.060959 0.0 0.0 \n", - "... ... ... ... \n", - "1298157 0.000000 0.0 0.0 \n", - "1480372 0.000000 0.0 0.0 \n", - "1298533 0.410859 0.0 0.0 \n", - "930299 0.478688 0.0 0.0 \n", - "905954 0.000000 0.0 0.0 \n", - "\n", - " Dendritic cells resting Dendritic cells activated \\\n", - "Subjects \n", - "906826 0.0 0.000000 \n", - "687983 0.0 0.613573 \n", - "1240138 0.0 0.280445 \n", - "1240139 0.0 0.321357 \n", - "906792 0.0 0.396471 \n", - "... ... ... \n", - "1298157 0.0 0.000000 \n", - "1480372 0.0 0.152598 \n", - "1298533 0.0 0.283488 \n", - "930299 0.0 0.000000 \n", - "905954 0.0 0.410373 \n", - "\n", - " Mast cells resting Mast cells activated Eosinophils Neutrophils \n", - "Subjects \n", - "906826 0.216622 0.0 0.000000 0.0 \n", - "687983 0.000000 0.0 0.000000 0.0 \n", - "1240138 0.442887 0.0 0.000000 0.0 \n", - "1240139 0.000000 0.0 0.329952 0.0 \n", - "906792 0.000000 0.0 0.000000 0.0 \n", - "... ... ... ... ... \n", - "1298157 0.483492 0.0 0.000000 0.0 \n", - "1480372 0.000000 0.0 0.000000 0.0 \n", - "1298533 0.000000 0.0 0.000000 0.0 \n", - "930299 0.000000 0.0 0.000000 0.0 \n", - "905954 0.000000 0.0 0.589627 0.0 \n", - "\n", - "[977 rows x 22 columns]" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "result3[df]" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.8" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index c85d9b4..0000000 --- a/requirements.txt +++ /dev/null @@ -1,7 +0,0 @@ -dash -dash-core-components -dash-html-components -cx_Freeze -cx_Logging -waitress -Mixture \ No newline at end of file From 5110172c82011cd48825513311710a6e4af86567 Mon Sep 17 00:00:00 2001 From: MsMatias Date: Wed, 19 Feb 2020 09:41:31 -0300 Subject: [PATCH 48/52] score test with dash app --- app/pages/score.py | 100 ++++++++++++++++++++++++++++++++++++++++++ app/pages/validate.py | 23 +++++----- 2 files changed, 112 insertions(+), 11 deletions(-) create mode 100644 app/pages/score.py diff --git a/app/pages/score.py b/app/pages/score.py new file mode 100644 index 0000000..a93d66a --- /dev/null +++ b/app/pages/score.py @@ -0,0 +1,100 @@ +import pandas as pd +import numpy as np +from sklearn.svm import LinearSVR +from sklearn.datasets import make_regression +import random, math +from joblib import Parallel, delayed +from sklearn.preprocessing import scale +import multiprocessing + +def Score (X, Y, cores): + + # Normalize signature Matrix + mean = X.iloc[:, 1:].mean() + std = X.iloc[:, 1:].stack().std() + X.iloc[:, 1:] = (X.iloc[:, 1:] - mean.mean()) / std + + # Intersection between X and Y + X = X.loc[X['Gene symbol'].isin(Y['Gene symbol'])] + Y = Y.loc[Y['Gene symbol'].isin(X['Gene symbol'])] + + # Ordering by GeneSymbol + X = X.sort_values(by=['Gene symbol']) + Y = Y.sort_values(by=['Gene symbol']) + # Slice Gene symbol column + X = X.iloc[:, 1:] + Y = Y.iloc[:, 1:] + X.reset_index(drop=True, inplace=True) + + Yn = pd.DataFrame(scale(Y), index=Y.index, columns=Y.columns) + #Yn = Y + + score_adj = list() + print('Processing...') + + score_adj = Parallel(n_jobs=cores, backend='multiprocessing')(delayed(proccessData)(X = X, Y = j, subject = i, verbose = 1) for i, j in Yn.iteritems()) + + matWa = pd.DataFrame() + matWp = pd.DataFrame() + matRes = pd.DataFrame() + + for i in score_adj: + matWa = matWa.append(i.Wa, ignore_index=True) + matWp = matWp.append(i.Wp, ignore_index=True) + matRes = matRes.append(pd.DataFrame([[i.RMSEa, i.RMSEp, i.Ra, i.Rp]], columns=['RMSEa', 'RMSEp', 'Ra', 'Rp']), ignore_index=True) + + matWa.index = Y.columns.values + matWa.columns = X.columns.values + + matWp.index = Y.columns.values + matWp.columns = X.columns.values + + matRes.index = matWp.index.values + + return(pd.DataFrame([[matWa, matWp, matRes]], columns=['MIXabs', 'MIXprop', 'ACCmetrix'])) + + +def proccessData (X, Y, subject, verbose): + + XX = X + + if verbose == 1: + print('Subject ' + str(subject) + ' Processing...' + str(multiprocessing.current_process())) + + svr = LinearSVR (random_state = 0, max_iter = 40000) + model = svr.fit(X, Y) + score = model.coef_ + + # The scores less 0 change to 0 + score[np.where(score<0)] = 0 + + wAbs = score + + w = score/sum(score) + + w = pd.DataFrame(w, XX.columns).T + + wOut = pd.DataFrame(wAbs, XX.columns).T + + # Create wSel with all values in zero + wSel = [0 for x in range(len(X.columns))] + wSel = pd.DataFrame(wSel, X.columns).T + wSel.loc[:, wSel.columns.isin(wOut.columns)] = wOut + + u = X.apply(lambda x: x * wSel.iloc[0], axis = 1).values + k = np.sum(u, axis = 1) + nusvm = math.sqrt(pow((k - Y.values),2).mean()) + corrv = np.corrcoef(k, Y.values) + + w = wSel/wSel.sum().sum() + uW = X.apply(lambda x: x * w.iloc[0], axis = 1).values + kW = np.sum(uW, axis = 1) + nusvmW = math.sqrt(pow((kW - Y.values),2).mean()) + corrvW = np.corrcoef(kW, Y.values) + + result = pd.Series([wSel, w, nusvm, nusvmW, corrv[0][1], corrvW[0][1]], index =['Wa', 'Wp', 'RMSEa', 'RMSEp', 'Ra', 'Rp']) + + if verbose == 1: + print('Finish proccess subject ' + str(subject)) + + return result \ No newline at end of file diff --git a/app/pages/validate.py b/app/pages/validate.py index cf1e1d1..b85a148 100644 --- a/app/pages/validate.py +++ b/app/pages/validate.py @@ -21,6 +21,7 @@ import plotly.graph_objects as go from plotly.subplots import make_subplots from scipy import stats +from score import Score from app import app @@ -242,7 +243,7 @@ def update_output(n_clicks, lines_slider, cpu, celllines): lines = lines_slider # Escenario 1 - result1, pValues1 = Mixture.Mixture(X, Y , cpu, 1, '') + result1, pValues1 = Mixture.Mixture(X, Y , cpu, 1, '', method=Score) metrics1 = result1.Subjects[0].ACCmetrix[0].reset_index() # Escenario 2 @@ -263,7 +264,7 @@ def update_output(n_clicks, lines_slider, cpu, celllines): X = dataFrameSignature - result2, pValues2 = Mixture.Mixture(X, Y2 , cpu, 1, '') + result2, pValues2 = Mixture.Mixture(X, Y2 , cpu, 1, '', method=Score) betasSim = result2.Subjects[0].MIXprop[0].to_numpy(copy = True) estimate_lines = pd.DataFrame([(betasSim[i] > 0).sum() for i in range(rango)]) @@ -274,15 +275,15 @@ def update_output(n_clicks, lines_slider, cpu, celllines): #Celllines analysis if len(celllines) == 1: - #Y3 = pd.read_excel(dataCelllines, sheet_name = 0) - #result3, pValues3 = Mixture.Mixture(X, Y3 , cpu, 1, '') - cc = pd.read_excel('./data/outputCellines(2).xlsx', sheet_name = 0) - cc.index = cc.iloc[:,0].astype(int) - cc.index.name = 'Subjects' - cc2 = pd.read_excel('./data/outputCellines(2).xlsx', sheet_name = 1) - cc2.index = cc2.iloc[:,0].astype(int) - cc2.index.name = 'Subjects' - result3 = [cc.iloc[:, 1:], cc2.iloc[:, 1:]] + Y3 = pd.read_excel(dataCelllines, sheet_name = 0) + result3, pValues3 = Mixture.Mixture(X, Y3 , cpu, 1, '', method=Score) + #cc = pd.read_excel('./data/outputCellines(2).xlsx', sheet_name = 0) + #cc.index = cc.iloc[:,0].astype(int) + #cc.index.name = 'Subjects' + #cc2 = pd.read_excel('./data/outputCellines(2).xlsx', sheet_name = 1) + #cc2.index = cc2.iloc[:,0].astype(int) + #cc2.index.name = 'Subjects' + #result3 = [cc.iloc[:, 1:], cc2.iloc[:, 1:]] children_tabs = [ dcc.Tab(label='Similation Test', value='tab4-1', style={'padding': '0px'}, selected_style={'padding': '0px'}), dcc.Tab(label='False Discovery Test', value='tab4-2', style={'padding': '0px'}, selected_style={'padding': '0px'}) From 0b7a3da891dcd2c53079a03cb5ff5ae91e4e4d35 Mon Sep 17 00:00:00 2001 From: MsMatias Date: Tue, 17 Mar 2020 17:42:11 -0300 Subject: [PATCH 49/52] cambios en dash app validate --- app/__pycache__/app.cpython-36.pyc | Bin 313 -> 332 bytes app/__pycache__/score.cpython-36.pyc | Bin 0 -> 3074 bytes app/pages/__pycache__/__init__.cpython-36.pyc | Bin 125 -> 144 bytes app/pages/__pycache__/index.cpython-36.pyc | Bin 9105 -> 9124 bytes app/pages/__pycache__/validate.cpython-36.pyc | Bin 14656 -> 14579 bytes app/pages/validate.py | 8 +- app/score.py | 100 ++++++++++++++++++ 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z?~ukZvI%E&ss!f6c#U-F%M-}A(61$9duVtBhwdJ-c%6vMkl^no$&g1!4SCBJgAMY( zkme0ZnkDfo#Qv4Yn@9|$KN7ZPC*3J)T0MzemRQt$h&?H;H2-_CIXh_DVg=2MOJQB}sYB*@L(o62aL^yQtAuBQ(}H!3FXrcGS_xn=_O0&4e%V#MP@;18%+; z<@{}NVs>CWV}Ov*Y+affSTAy6*rC6BWRPbL3Nt2iP<#t5qB#3wbh5qlrtOt z$;@F=PBtM#(EOmSz3P?#^L>#bX_Bv!}$PbL+&Jxkbw#CE@3h^tkYV0d0k*^GGN*hkun6``@Q%<@-pniip{3 yUnkD|U2;&=bl%O*3Enxo@+e7<5IIbQ?wQ$aoC?SD#dDo?%pqRwY!C(WUimMa1m+ 0).sum() for i in range(rango)]) @@ -276,7 +276,7 @@ def update_output(n_clicks, lines_slider, cpu, celllines): #Celllines analysis if len(celllines) == 1: Y3 = pd.read_excel(dataCelllines, sheet_name = 0) - result3, pValues3 = Mixture.Mixture(X, Y3 , cpu, 1, '', method=Score) + result3, pValues3 = Mixture.Mixture(X, Y3 , cpu, 1, '', method=score.Score) #cc = pd.read_excel('./data/outputCellines(2).xlsx', sheet_name = 0) #cc.index = cc.iloc[:,0].astype(int) #cc.index.name = 'Subjects' diff --git a/app/score.py b/app/score.py new file mode 100644 index 0000000..a93d66a --- /dev/null +++ b/app/score.py @@ -0,0 +1,100 @@ +import pandas as pd +import numpy as np +from sklearn.svm import LinearSVR +from sklearn.datasets import make_regression +import random, math +from joblib import Parallel, delayed +from sklearn.preprocessing import scale +import multiprocessing + +def Score (X, Y, cores): + + # Normalize signature Matrix + mean = X.iloc[:, 1:].mean() + std = X.iloc[:, 1:].stack().std() + X.iloc[:, 1:] = (X.iloc[:, 1:] - mean.mean()) / std + + # Intersection between X and Y + X = X.loc[X['Gene symbol'].isin(Y['Gene symbol'])] + Y = Y.loc[Y['Gene symbol'].isin(X['Gene symbol'])] + + # Ordering by GeneSymbol + X = X.sort_values(by=['Gene symbol']) + Y = Y.sort_values(by=['Gene symbol']) + # Slice Gene symbol column + X = X.iloc[:, 1:] + Y = Y.iloc[:, 1:] + X.reset_index(drop=True, inplace=True) + + Yn = pd.DataFrame(scale(Y), index=Y.index, columns=Y.columns) + #Yn = Y + + score_adj = list() + print('Processing...') + + score_adj = Parallel(n_jobs=cores, backend='multiprocessing')(delayed(proccessData)(X = X, Y = j, subject = i, verbose = 1) for i, j in Yn.iteritems()) + + matWa = pd.DataFrame() + matWp = pd.DataFrame() + matRes = pd.DataFrame() + + for i in score_adj: + matWa = matWa.append(i.Wa, ignore_index=True) + matWp = matWp.append(i.Wp, ignore_index=True) + matRes = matRes.append(pd.DataFrame([[i.RMSEa, i.RMSEp, i.Ra, i.Rp]], columns=['RMSEa', 'RMSEp', 'Ra', 'Rp']), ignore_index=True) + + matWa.index = Y.columns.values + matWa.columns = X.columns.values + + matWp.index = Y.columns.values + matWp.columns = X.columns.values + + matRes.index = matWp.index.values + + return(pd.DataFrame([[matWa, matWp, matRes]], columns=['MIXabs', 'MIXprop', 'ACCmetrix'])) + + +def proccessData (X, Y, subject, verbose): + + XX = X + + if verbose == 1: + print('Subject ' + str(subject) + ' Processing...' + str(multiprocessing.current_process())) + + svr = LinearSVR (random_state = 0, max_iter = 40000) + model = svr.fit(X, Y) + score = model.coef_ + + # The scores less 0 change to 0 + score[np.where(score<0)] = 0 + + wAbs = score + + w = score/sum(score) + + w = pd.DataFrame(w, XX.columns).T + + wOut = pd.DataFrame(wAbs, XX.columns).T + + # Create wSel with all values in zero + wSel = [0 for x in range(len(X.columns))] + wSel = pd.DataFrame(wSel, X.columns).T + wSel.loc[:, wSel.columns.isin(wOut.columns)] = wOut + + u = X.apply(lambda x: x * wSel.iloc[0], axis = 1).values + k = np.sum(u, axis = 1) + nusvm = math.sqrt(pow((k - Y.values),2).mean()) + corrv = np.corrcoef(k, Y.values) + + w = wSel/wSel.sum().sum() + uW = X.apply(lambda x: x * w.iloc[0], axis = 1).values + kW = np.sum(uW, axis = 1) + nusvmW = math.sqrt(pow((kW - Y.values),2).mean()) + corrvW = np.corrcoef(kW, Y.values) + + result = pd.Series([wSel, w, nusvm, nusvmW, corrv[0][1], corrvW[0][1]], index =['Wa', 'Wp', 'RMSEa', 'RMSEp', 'Ra', 'Rp']) + + if verbose == 1: + print('Finish proccess subject ' + str(subject)) + + return result \ No newline at end of file From fb96f90bd365954708b52310fe5a4e90c2fc61d5 Mon Sep 17 00:00:00 2001 From: MsMatias Date: Sun, 29 Mar 2020 17:13:48 -0300 Subject: [PATCH 50/52] improve gui --- app/__pycache__/app.cpython-36.pyc | Bin 332 -> 313 bytes app/__pycache__/main.cpython-36.pyc | Bin 0 -> 2012 bytes app/__pycache__/score.cpython-36.pyc | Bin 3074 -> 3055 bytes app/assets/css/main.css | 87 +++- app/data/outputCellines(2).xlsx | Bin 326967 -> 0 bytes app/main.py | 4 +- app/pages/__pycache__/__init__.cpython-36.pyc | Bin 144 -> 125 bytes app/pages/__pycache__/index.cpython-36.pyc | Bin 9124 -> 10633 bytes app/pages/__pycache__/score.cpython-36.pyc | Bin 0 -> 3061 bytes app/pages/__pycache__/validate.cpython-36.pyc | Bin 14579 -> 14862 bytes app/pages/index copy.py | 389 ++++++++++++++++++ app/pages/index.py | 219 +++++++--- app/pages/score.py | 100 ----- app/pages/validate.py | 35 +- 14 files changed, 658 insertions(+), 176 deletions(-) create mode 100644 app/__pycache__/main.cpython-36.pyc delete mode 100644 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b/app/assets/css/main.css @@ -128,7 +128,7 @@ are based on 10px sizing. So basically 1.5rem = 15px :) */ html { font-size: 62.5%; } body { - background-color: #F7F7F7; + background-color: rgba(247, 247, 247, 0.4); font-size: 1.5em; /* currently ems cause chrome bug misinterpreting rems on body element */ line-height: 1.6; font-weight: 400; @@ -448,16 +448,6 @@ nav ul { justify-content: flex-end; } -.navigation a { - text-decoration: none; - border-left: #333 1px solid; - display: block; - margin-top: 40px; - padding-left: 20px; - padding-right: 20px; - color: black; -} - #check_celllines input[type="checkbox"] { -webkit-appearance: none; background-color: #fafafa; @@ -507,4 +497,79 @@ nav ul { top: 0px; left: 3px; color:#ffffff; +} + +/* Tabs */ + +.custom-tabs { + margin-top: -53px !important; + margin-left: 575px !important; + margin-bottom: 10px !important; +} + +.custom-tab { + width: 200px !important; + margin: 5px !important; + padding: 5px !important; + background-color: white !important; + border: none !important; + border-bottom: 2px solid grey !important; +} + +.custom-tab-button { + display:block; + width: 200px !important; + margin-top: -46px !important; + margin-left: 364px !important; + margin-bottom: 10px !important; + padding: 5px !important; + background-color: white !important; + border: none !important; + border-bottom: 2px solid grey !important; + text-decoration: none; + color: black; + text-align: center; +} + +.custom-tab-button:hover { + color: black; + border-bottom: 2px solid dodgerblue !important; +} + +.custom-tab:hover { + border-bottom: 2px solid dodgerblue !important; +} + +.custom-tab--selected { + border-bottom: 4px solid dodgerblue !important; +} + +.navigation a { + text-decoration: none; + /* border-left: #333 1px solid; */ + display: block; + margin-top: 40px; + /* padding-left: 20px; */ + /* padding-right: 20px; */ + /* color: black; */ + border: none; + border-bottom: 2px solid grey; + padding-bottom: 5px; + margin-left: 5px; + margin-right: 5px; + width: 190px !important; + text-align: center; + color: black; +} + +.navigation a:hover { + border-bottom: 2px solid dodgerblue; +} + +#output-processing > div { + pointer-events:none; +} + +#tabs2-parent, #tabs2-content, .custom-tab-button { + pointer-events: all !important; } \ No newline at end of file diff --git a/app/data/outputCellines(2).xlsx b/app/data/outputCellines(2).xlsx deleted file mode 100644 index e65b4ce23464380bdcf1ee771043672a1ccd6694..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 326967 zcmafacR1Dm`+udPD2XyMvXe4H2qELxqsTbO$jIi{hl;Yv2qoDoE7^y0Y_c;?h*P$6 zvDCS*Xwyd@B6XtlZG8pNp{MfOg z)5nfc5`JSK>tOF{Vee{u-_y~;1<2!JXWR96B~HX=$0^%>ALKq(=vw^RnU`R=W}7a@!%}=b&7eRuu5v@ z8}fDH1w%LEyX8OfhnEqfKuoC@C@EvIY3+EQpXB=-9r)to<7pKShf=C2q>s%YuM&jK zd|=q>;{YQspl)4W28g@zaltz?=8V3yzy)SlP{@5lQBjg^R!(sFn1!s0E|vZXPnGL7 zZ7Jt7?qI2m{>Z*TYaL_G0cU?V>M@vh~x$P-F%gDzA@>DRf+nE zVad0MuM5X~A$;48_CCl*D51Q7a_?VP_?I7x`XZC1hqj4l=H3A!@&wzQz#O9X+g!wP zEKj{cpA`nj?9jrzi=2PWz~;fnHU4oU%gKO|dBRO7pE!1ml<>E)vxTh-FVF7Jg6Mj+ 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+ ''' + str(logoFile.read()) + ''' + +