ADD Message Encryption

Projects/Message_Encryption.py

@@ -0,0 +1,69 @@
+import random as ra
+import string as str
+
+
+def options():
+    while True:
+        print("========== Welcome To Message Encryption ==========")
+        print("\t'1' For Encryption")
+        print("\t'2' For Decode")
+        try:
+            opt = int(input("Enter: "))
+            if opt not in ("1", "2", 1, 2):
+                print("Choose Number Between '1','2'")
+            if opt == 1:
+                encrypt()
+            elif opt == 2:
+                decode()
+        except ValueError:
+            print("Enter Numbers Only")
+
+
+def encrypt():
+    x = input("Enter Your Message :")
+
+    if len(x) <= 3:
+        encrypt_key = input("Enter Your Key '1','4','7' :")
+
+        with open("User_Key.txt", "a+") as f:
+            f.write(f"{encrypt_key},{x}\n")
+        print(f"Successfully Encrypted: {x[::-1]}")
+
+    encrypt_key = input("Enter Your Key '1','4','7' :")
+
+    with open("User_Key.txt", "a") as f:
+        f.write(f"{encrypt_key},{x}\n")
+    shift = x[1:] + x[0]
+    prefix = "".join(ra.choice(str.ascii_letters) for _ in range(3))
+    suffix = "".join(ra.choice(str.ascii_letters) for _ in range(3))
+    message = prefix + shift + suffix
+    message = message.strip()
+    print(f"Successfully Encrypted: {message}")
+    return encrypt_key
+
+
+def decode():
+    with open("User_Key.txt", "r") as f:
+        user_message = input("Enter Message To Decode : ")
+        decode_key = input("Enter Your Key : ")
+        found = False
+
+        for line in f:
+            encrypt_key, x = line.strip().split(",")
+
+            if encrypt_key == decode_key:
+                if len(user_message) <= 3:
+                    print(user_message[::-1])
+                else:
+                    x = user_message[3:-3]
+                    x = x[-1] + x[:-1]
+                    print(f"Message Decoded : {x}")
+
+                found = True
+                break
+
+        if not found:
+            print("Didn't Match :/")
+
+
+options()

Projects/News.py

@@ -0,0 +1,81 @@
+import requests
+import sys
+
+
+def options():
+
+    print("-" * 5, "Welcome To Daily News", "-" * 5)
+    print("Enter 1 For Headlines")
+    print("Enter 2 For Topic's")
+    print("Enter 3 For Geting News From Your API :)")
+    print("Enter 4 For Exit")
+
+    while True:
+        try:
+            choose = int(input("Choose :"))
+            match choose:
+                case 1:
+                    return Fatch_News()
+                case 2:
+                    return search()
+                case 3:
+                    return Fatch_Key()
+                case 4:
+                    return Exit()
+
+        except ValueError:
+            print("Enter Numbers Only")
+
+
+def Fatch_Key():
+
+    user_key = input("Enter Your API Key :")
+    return Fatch_News(user_key)
+
+
+def search():
+    pass
+
+
+def Fatch_News(user_key=""):  # Enter Your API Key Heare
+
+    url = f"https://newsapi.org/v2/everything?q=keyword&apiKey={user_key}"
+    request = requests.get(url)
+    data = request.json()
+
+    news = []
+
+    for article in data["articles"]:
+        news.append(
+            {
+                "Title": article["title"],
+                "Author": article["author"],
+                "Description": article["description"],
+            }
+        )
+
+    return news
+
+
+def Exit():
+
+    print("Thanks For Using PDF Tool Kit :)")
+    sys.exit()
+
+
+# Run These Command To Get Info About Type Of Data We Are Dealing With
+def Data_Info():
+    """Tell Abut Type Of Data We Are Grtting From URL"""
+
+    url = "https://newsapi.org/v2/everything?q=keyword&apiKey=6495169f47154cfd83e9ac94ed500b0a"
+    request = requests.get(url)
+
+    data = request.json()
+
+    print(type(data))
+    print(data.keys())
+    print(data["articles"][0].keys())
+
+
+if __name__ == "__main__":
+    options()

genetic_algorithm/basic_string.py

@@ -54,7 +54,9 @@ def mutate(child: str, genes: list[str]) -> str:
     """
     child_list = list(child)
     if random.uniform(0, 1) < MUTATION_PROBABILITY:
-        child_list[random.randint(0, len(child)) - 1] = random.choice(genes)
+        random_index = random.randint(0, len(child) - 1)
+        child_list[random_index] = random.choice(genes)
+
     return "".join(child_list)
 
 
@@ -175,7 +177,9 @@ def basic(target: str, genes: list[str], debug: bool = True) -> tuple[int, int,
 
         # Flush the old population, keeping some of the best evolutions.
         # Keeping this avoid regression of evolution.
-        population_best = population[: int(N_POPULATION / 3)]
+        population_best = [
+            item[0] for item in population_score[: int(N_POPULATION / 3)]
+        ]
         population.clear()
         population.extend(population_best)
         # Normalize population score to be between 0 and 1.