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gh-113655: Reduce recursion limit to a safe number for Windows by mdboom · Pull Request #113668 · python/cpython · GitHub

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gh-113655: Reduce recursion limit to a safe number for Windows #113668

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gh-113655: Reduce recursion limit to a safe number for Windows #113668

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gh-113655: Reduce recursion limit to a safe number for Windows
mdboom Jan 2, 2024
67f60b5
Make sure recursion always maxes out
mdboom Jan 3, 2024
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2 changes: 1 addition & 1 deletion Include/cpython/pystate.h
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Expand Up @@ -227,7 +227,7 @@ struct _ts {
# define Py_C_RECURSION_LIMIT 1200
#else
// This value is duplicated in Lib/test/support/__init__.py
# define Py_C_RECURSION_LIMIT 8000
# define Py_C_RECURSION_LIMIT 4000
#endif


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2 changes: 1 addition & 1 deletion Lib/test/support/__init__.py
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Expand Up @@ -2377,7 +2377,7 @@ def _get_c_recursion_limit():
return _testcapi.Py_C_RECURSION_LIMIT
except (ImportError, AttributeError):
# Originally taken from Include/cpython/pystate.h .
return 8000
return 4000

# The default C recursion limit.
Py_C_RECURSION_LIMIT = _get_c_recursion_limit()
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3 changes: 1 addition & 2 deletions Lib/test/test_functools.py
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Expand Up @@ -1876,8 +1876,7 @@ def fib(n):

if not support.Py_DEBUG:
with support.infinite_recursion():
fib(2500)

self.assertRaises(RecursionError, fib, 2000)

gvanrossum Jan 3, 2024

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Choose a reason Spam Abuse Off Topic Outdated Duplicate Resolved Low Quality

I believe this violates the intention of the test -- it wants to ensure that we can recurse at least a minimum given number of times. Maybe we need both?

markshannon Jan 4, 2024

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Choose a reason Spam Abuse Off Topic Outdated Duplicate Resolved Low Quality

We already have tests for maxing out the recursion limit, both for C and Python recursion, so we probably don't need to add any. But there is no harm in having more tests.

mdboom Jan 5, 2024

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Choose a reason Spam Abuse Off Topic Outdated Duplicate Resolved Low Quality

If we already have those tests, I wonder why they aren't likewise failing... Do you know which those are?

@py_functools.lru_cache()
def py_cached_func(x, y):
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