Implementing "any" and "all" Functionality in Python

The any() and all() functions are fundamental tools in Python for concisely evaluating conditions across iterable objects. This challenge asks you to implement these functions from scratch, deepening your understanding of how they work and reinforcing your grasp of Python's control flow and iterators. Successfully completing this challenge will demonstrate your ability to manipulate iterables and implement logical operations.

Problem Description

You are tasked with creating Python functions that mimic the behavior of the built-in any() and all() functions. Both functions operate on iterable objects (lists, tuples, sets, etc.) and evaluate a condition for each element.

• my_any(iterable, function=None): This function should return True if at least one element in the iterable satisfies the given function. If function is None, it should check if any element is truthy (evaluates to True in a boolean context). If the iterable is empty, it should return False.

• my_all(iterable, function=None): This function should return True if all elements in the iterable satisfy the given function. If function is None, it should check if all elements are truthy. If the iterable is empty, it should return True.

The function argument should be a callable (e.g., a function or lambda expression) that takes a single element from the iterable as input and returns a boolean value.

Examples

Example 1:

Input: [1, 2, 3, 4, 5], function=lambda x: x % 2 == 0
Output: True
Explanation: At least one element (2, 4) satisfies the condition "x is even".

Example 2:

Input: [1, 3, 5, 7, 9], function=lambda x: x % 2 == 0
Output: False
Explanation: No element satisfies the condition "x is even".

Example 3:

Input: [], function=lambda x: x > 0
Output: False
Explanation: The iterable is empty, so any() returns False.

Example 4:

Input: [], function=None
Output: True
Explanation: The iterable is empty, so all() returns True.

Example 5:

Input: [0, False, '', None], function=None
Output: False
Explanation: None of the elements are truthy.

Example 6:

Input: [1, True, 'hello', 5], function=None
Output: True
Explanation: All elements are truthy.

Constraints

• The iterable can be any iterable object (list, tuple, set, string, etc.).
• The function argument is optional and can be None.
• The function must be callable and accept a single argument.
• The functions should handle empty iterables correctly, as specified in the problem description.
• The functions should not modify the original iterable.

Notes

• Consider using a for loop or a generator expression to iterate through the iterable.
• Think carefully about the short-circuiting behavior of any() and all(). any() should stop iterating as soon as it finds a truthy element, and all() should stop as soon as it finds a falsy element. This can improve performance.
• Remember that Python's boolean context evaluates many objects as True or False (e.g., non-empty strings, non-zero numbers). This is important when function is None.
• Focus on clarity and efficiency in your implementation.