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Python Garbage Collection: What It Is and How It Works
https://stackify.com/python-garbage-collection/
gc — Garbage Collector interface — Python 3.10.4 …
https://docs.python.org/3/library/gc.html
gc. get_objects (generation=None) ¶ Returns a list of all objects tracked by the collector, excluding the list returned. If generation is not None, return only the objects tracked by the collector that are in that generation. Changed in version 3.8: New generation parameter. Raises an auditing event gc.get_objects with argument generation.
trouble understanding python's gc.garbage (for tracing …
https://stackoverflow.com/questions/16911559/trouble-understanding-pythons-gc-garbage-for-tracing-memory-leaks
The gc module seems capable of the necessary tracking, and I attempted the following code that aims to compile a list of unreacheable items that were formed since the last call. The first call merely sets a base checkpoint and will not identify unreachable items.
Tracing GC for CPython — Faster CPython 0.0 documentation
https://faster-cpython.readthedocs.io/tracing_gc.html
CPython tracing GC design, Constraints ¶ Must allow 3 rd party C extensions to compile and work without major source code changes Must allow most pure Python code to run, without changes. Some breakage expected (e.g. it assumes immediate deletion as given by RC). Code that relies on ‘gc’ module is okay to break.
gc – Garbage Collector - Python Module of the Week
Tracing References ¶ With gc you can use the incoming and outgoing references between objects to find cycles in complex data structures. If you know the data structure with the cycle, you can construct custom code to examine its properties. If not, you can the get_referents () and get_referrers () functions to build generic debugging tools.
Memory Management And Garbage Collection In Python
https://towardsdatascience.com/memory-management-and-garbage-collection-in-python-c1cb51d1612c
Python has an automated garbage collection. It has an algorithm to deallocate objects which are no longer needed. Python has two ways to delete the unused objects from the memory. 1. Reference counting: The references are always counted and stored in memory. In the example below, we assign c to 50.
python - How to debug GC in PyPy? - Stack Overflow
https://stackoverflow.com/questions/64875327/how-to-debug-gc-in-pypy
In fact PyPy's GC is optimized for objects that die young, and for all of these (which are typically 80%-90% of all objects in a program) then the structure of the GC is such that there is no way to even know what the dying objects are. These 80%-90% of objects occupy space that is reclaimed in bulk, not one by one.
tracemalloc — Trace memory allocations — Python 3.10.4 …
https://docs.python.org/3/library/tracemalloc.html
The tracemalloc.start () function can be called at runtime to start tracing Python memory allocations. By default, a trace of an allocated memory block only stores the most recent frame (1 frame). To store 25 frames at startup: set the PYTHONTRACEMALLOC environment variable to 25, or use the -X tracemalloc=25 command line option. Examples ¶
CPython Garbage Collection - Faster CPython 0.0 documentation
https://faster-cpython.readthedocs.io/garbage_collection.html
The Python tracing GC would not move them. It would mean if you have a PyTuple, you can’t get at the tuple elements just by casting the structure and moving a fixed offset. Instead, you would have to follow the pointer to where the array of elements is actually stored. And, the GC is free to move that array.
semantics - Is reference counting GC vs. tracing GC a
https://cs.stackexchange.com/questions/50981/is-reference-counting-gc-vs-tracing-gc-a-language-property-or-an-implementation
reference counting GC and tracing GC provide the programmer with different gaurantees. Reference counting provides determinism in the location in the program flow where an object is destroyed, that can be important if the object owns scarce resources that must be freed quickly. On the other hand it can't deal with cycles of "strong" references.
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