Group1 commit

Co-authored-by: Jade Prideaux <JadePrideaux@users.noreply.github.com>
Co-authored-by: Katie Gardner <KatieLG@users.noreply.github.com>
Co-authored-by: Maran <ilamaran.magesh@gmail.com>

Author: 4 people

2026-01-07/Group-1/katie.py

@@ -0,0 +1,71 @@
+MARKDOWN = """
+# Hello world!
+
+Time to:
+- get poisoned
+- have fun
+- tokens
+
+## Plan
+
+We want regex to look for certain words and replace them with less common words
+"""
+
+import re
+import random
+import nltk
+
+#nltk.download('wordnet')
+
+from nltk.corpus import wordnet as wn
+
+def get_similar_words(input_word: str) -> list[str]:
+    """Use nltk to get simliar words"""
+    return [word for group in wn.synonyms(input_word) for word in group]
+
+
+def example_replacement(match: re.Match) -> str:
+    """
+    usage re.sub(pattern, repl, string, count=0, flags=0)
+    We are implementing the "repl" bit here
+    """
+    return match.group().upper()
+
+
+def replace_char(match: re.Match) -> str:
+    match match.group():
+        case "ae": return "æ"
+        case "a": return random.choice("аâāąáäãà")
+        case "A": return random.choice("А")
+        case "B": return random.choice("Bʙ")("В")
+        case "c": return random.choice("с")
+        case "C": return random.choice("С")
+        case "e": return random.choice("eё")
+        case "i": return random.choice("iiiįɨ")
+        case "I": return random.choice("IÍíÌìÏïĨĩİĬĭĮɫÎîĪīıɪ")
+        case "g": return random.choice("ġĝğģɡ")
+        case "M": return random.choice("М")
+        case "o": return random.choice("о")
+        case "O": return random.choice
+        case "|": return random.choice("ӏ")
+        case "H": return random.choice("Н")
+        case "T": return random.choice("Т")
+        
+def do_replacements(string: str) -> str:
+    words = string.split()
+    modified: list[str] = []
+    for word in words:
+        if similar := get_similar_words(word):
+            modified.append(random.choice(similar))
+        else:
+            modified.append(word)
+    resulting_markdown = "".join(modified)
+    return re.sub(r"ae|a|A|B|c|C|e|i|I|g|M|o|\||H|T", replace_char, resulting_markdown)
+
+if __name__ == "__main__":
+    print(re.sub(r"cats", example_replacement, "cats have tails"))
+    print(get_similar_words("small"))
+    print(do_replacements(MARKDOWN))
+
+
+

2026-01-07/Group-1/main.py

@@ -0,0 +1,72 @@
+MARKDOWN = """
+# Happy new year!
+
+Time to:
+- get poisoned
+- have fun
+- tokens
+
+## Plan
+
+We want regex to look for certain words and replace them with less common words
+"""
+
+import re
+import random
+import nltk
+
+#nltk.download('wordnet')
+
+from nltk.corpus import wordnet as wn
+
+def get_similar_words(input_word: str) -> list[str]:
+    """Use nltk to get simliar words"""
+    return [word for group in wn.synonyms(input_word) for word in group]
+
+
+def example_replacement(match: re.Match) -> str:
+    """
+    usage re.sub(pattern, repl, string, count=0, flags=0)
+    We are implementing the "repl" bit here
+    """
+    return match.group().upper()
+
+
+def replace_char(match: re.Match) -> str:
+    match match.group():
+        case "ae": return "æ"
+        case "a": return random.choice("аâāąáäãà")
+        case "A": return random.choice("А")
+        case "B": return random.choice("Bʙ")("В")
+        case "c": return random.choice("с")
+        case "C": return random.choice("С")
+        case "e": return random.choice("eё")
+        case "i": return random.choice("iiiįɨ")
+        case "I": return random.choice("IÍíÌìÏïĨĩİĬĭĮɫÎîĪīıɪ")
+        case "g": return random.choice("ġĝğģɡ")
+        case "M": return random.choice("М")
+        case "o": return random.choice("о")
+        case "O": return random.choice
+        case "|": return random.choice("ӏ")
+        case "H": return random.choice("Н")
+        case "T": return random.choice("Т")
+        
+def do_replacements(string: str) -> str:
+    lines = string.split("\n")
+    modified: list[str] = []
+    for line in lines:
+        new_line: list[str] = []
+        for word in line.split(" "):
+            if similar := get_similar_words(word):
+                new_line.append(similar[0])
+            else:
+                new_line.append(word)
+        modified.append(" ".join(new_line))
+    resulting_markdown = "\n".join(modified)
+    return re.sub(r"ae|a|A|B|c|C|e|i|I|g|M|o|\||H|T", replace_char, resulting_markdown)
+
+if __name__ == "__main__":
+    print(re.sub(r"cats", example_replacement, "cats have tails"))
+    print(get_similar_words("small"))
+    print(do_replacements(MARKDOWN))
+    print(do_replacements(MARKDOWN))

2026-01-07/Group-1/test.py

@@ -0,0 +1,9 @@
+
+import KatiePlsHelp
+
+# tokenise an input string
+# run a funtion from "main.py"
+# tokenise the output
+# compare results
+
+