adjusted code.py for readability

code.py

@@ -1,16 +1,39 @@
-def function1(a):
-    b = dict()
-    for c in a:
-        if c not in b:
-            b[c] = 1
+def calculate_character_frequency(input_string):
+    """
+    Computes the frequency of each character in the input string.
+
+    Parameters:
+    input_string (str): The string for which character frequency is calculated.
+
+    Returns:
+    dict: A dictionary where keys are characters and values are their corresponding counts in the input string.
+    """
+    frequency_dict = dict()
+    for char in input_string:
+        if char not in frequency_dict:
+            frequency_dict[char] = 1  # Initialize the count if the character is not in the dictionary.
         else:
-            b[c] += 1
-    return b
+            frequency_dict[char] += 1  # Increment the count if the character is already in the dictionary.
+    return frequency_dict
+
+def normalize_character_frequencies(frequency_dict):
+    """
+    Prints the normalized frequency of each character based on their counts from the input dictionary.
+
+    Parameters:
+    frequency_dict (dict): A dictionary where keys are characters and values are their corresponding counts.
 
-def function2(a):
-    print('freqs')
-    total = float(sum([a[b] for b in a.keys()]))
-    for b in a.keys():
-        print(b + ':' + str(a[b]/total))
+    Returns:
+    None: This function prints the frequencies directly to the console.
+    """
+    print('Frequencies:')
+    total_count = sum(frequency_dict.values())  # Calculate the total count of all characters.
+
+    for char, count in frequency_dict.items():
+        frequency = count / total_count  # Calculate the frequency of each character.
+        print(f'{char}: {frequency:.4f}')  # Print each character and its frequency, formatted to 4 decimal places.
 
-function2(function1('ATCTGACGCGCGCCGC'))
+# Example usage: calculate fraction of nucleobases in a given string.
+input_string = 'ATCTGACGCGCGCCGC'
+frequency_dict = calculate_character_frequency(input_string)
+normalize_character_frequencies(frequency_dict)