如何查找Python内置map()函数的源代码?PyCharm跳转仅显示pass
pass When Jumping to map() in PyCharm, and How to Find the Real Source Code Hey there! I totally get why this feels frustrating—you try to dive into how Python's built-in map() works in PyCharm, but all you get is a placeholder with pass instead of actual logic. Let's break this down step by step.
Why PyCharm Shows a Stub Instead of Real Code
Most of Python's core built-in functions (like map(), filter(), and zip()) are implemented in C for performance, not pure Python. The "definition" you see in PyCharm comes from a type stub file (usually builtins.pyi), which is just a lightweight placeholder. These stubs exist only to give your IDE type hinting and autocompletion—they don't contain the actual execution logic.
Here's what that stub might look like for map():
def map(func: Callable[[Any], Any], *iterables: Iterable[Any]) -> Iterator[Any]: pass
Or sometimes it uses ellipses (...) instead of pass, but either way, it's not the real implementation.
How to Find the Actual C Source Code for map()
Since map() is part of CPython (the standard Python implementation), you can find its source in the official CPython codebase:
- Locate the right file: The
map()function is implemented as an iterator object inObjects/iterobject.c. Look for thePyMap_Typestruct and related functions likemap_new(handles initialization) andmap_iternext(handles producing the next value in the iteration). - Match your Python version: Make sure you're looking at the source code for the exact Python version you're using—implementation details can change between versions.
- Local access: If you prefer to browse locally, download the source code archive for your Python version, then navigate to the
Objects/directory and openiterobject.c.
Bonus: A Pure Python Equivalent to Understand the Logic
If you just want to grasp how map() works under the hood without digging into C code, here's a simplified pure Python implementation that mirrors the core logic:
def my_map(func, *iterables): # Convert all input iterables to iterators iterators = tuple(iter(it) for it in iterables) while True: try: # Get the next value from each iterator args = tuple(next(it) for it in iterators) # Apply the function and yield the result yield func(*args) except StopIteration: # Exit when any iterator is exhausted return
This behaves just like the built-in map()—it applies the function to corresponding elements from each iterable until one of them runs out.
内容的提问来源于stack exchange,提问作者Bonderson

