Mistake in maths/average_mode.py fixed.

maths/average_mode.py

@@ -1,31 +1,36 @@
-import statistics
-
-
-def mode(input_list):  # Defining function "mode."
+def mode(input_list: list) -> list:  # Defining function "mode."
     """This function returns the mode(Mode as in the measures of
     central tendency) of the input data.
 
     The input list may contain any Datastructure or any Datatype.
 
     >>> input_list = [2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2]
     >>> mode(input_list)
-    2
-    >>> input_list = [2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2]
-    >>> mode(input_list) == statistics.mode(input_list)
-    True
+    [2]
+    >>> input_list = [3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 4, 2, 2, 2]
+    >>> mode(input_list)
+    [2]
+    >>> input_list = [3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 4, 4, 2, 2, 4, 2]
+    >>> mode(input_list)
+    [2, 4]
+    >>> input_list = ["x", "y", "y", "z"]
+    >>> mode(input_list)
+    ['y']
+    >>> input_list = ["x", "x" , "y", "y", "z"]
+    >>> mode(input_list)
+    ['x', 'y']
     """
-    # Copying input_list to check with the index number later.
-    check_list = input_list.copy()
     result = list()  # Empty list to store the counts of elements in input_list
     for x in input_list:
         result.append(input_list.count(x))
-        input_list.remove(x)
-        y = max(result)  # Gets the maximum value in the result list.
-        # Returns the value with the maximum number of repetitions.
-        return check_list[result.index(y)]
+    y = max(result)  # Gets the maximum value in the result list.
+    # Gets values of modes
+    result = [input_list[i] for i, value in enumerate(result) if value == y]
+    result = list(set(result))  # Deletes duplicates
+    return sorted(result)
 
 
 if __name__ == "__main__":
-    data = [2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2]
-    print(mode(data))
-    print(statistics.mode(data))
+    import doctest
+
+    doctest.testmod()