chore: get PyPy 3.7 wheels using NumPy 1.20 (#2837)

* chore: get PyPy 3.7 wheels using NumPy 1.20

* Add Valgrind suppressions after NumPy update

Co-authored-by: Yannick Jadoul <yannick.jadoul@belgacom.net>
This commit is contained in:
Henry Schreiner 2021-01-31 17:29:09 -05:00 committed by GitHub
parent 6cf6bf203e
commit 721834b422
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3 changed files with 26 additions and 21 deletions

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@ -1,7 +1,8 @@
--extra-index-url https://antocuni.github.io/pypy-wheels/manylinux2010/ --extra-index-url https://antocuni.github.io/pypy-wheels/manylinux2010/
numpy==1.16.6; python_version<"3.6" and sys_platform!="win32" numpy==1.16.6; python_version<"3.6" and sys_platform!="win32"
numpy==1.18.0; platform_python_implementation=="PyPy" and sys_platform=="darwin" and python_version>="3.6" numpy==1.18.0; platform_python_implementation=="PyPy" and sys_platform=="darwin" and python_version>="3.6"
numpy==1.19.3; (platform_python_implementation!="PyPy" or sys_platform=="linux") and python_version>="3.6" and python_version<"3.10" numpy==1.19.3; (platform_python_implementation!="PyPy" or sys_platform=="linux") and python_version=="3.6"
numpy==1.20.0; (platform_python_implementation!="PyPy" or sys_platform=="linux") and python_version>="3.7" and python_version<"3.10"
pytest==4.6.9; python_version<"3.5" pytest==4.6.9; python_version<"3.5"
pytest==6.1.2; python_version=="3.5" pytest==6.1.2; python_version=="3.5"
pytest==6.2.1; python_version>="3.6" pytest==6.2.1; python_version>="3.6"

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# Valgrind suppression file for NumPy & SciPy errors and leaks in pybind11 tests # Valgrind suppression file for NumPy & SciPy errors and leaks in pybind11 tests
#
# On updating a dependency, to get a list of "default" leaks in e.g. NumPy, run
# `PYTHONMALLOC=malloc valgrind --leak-check=full --show-leak-kinds=definite,indirect python3.9-dbg -c "import numpy"`
# To use theses suppression files, add e.g. `--suppressions=valgrind-numpy-scipy.supp`
{ {
Leaks when importing NumPy Leaks when importing NumPy
@ -29,7 +33,7 @@
} }
{ {
Leaks when importing NumPy (tris) Leaks when importing NumPy (ter)
Memcheck:Leak Memcheck:Leak
fun:malloc fun:malloc
fun:_PyMem_RawMalloc fun:_PyMem_RawMalloc
@ -59,6 +63,24 @@
fun:_PyObject_GC_Malloc fun:_PyObject_GC_Malloc
fun:_PyObject_GC_NewVar fun:_PyObject_GC_NewVar
fun:tuple_alloc fun:tuple_alloc
fun:_PyTuple_FromArray
fun:_PyObject_MakeTpCall
fun:_PyObject_VectorcallTstate
fun:_PyObject_CallFunctionVa
fun:PyObject_CallFunction
fun:PyImport_Import
}
{
Leaks when importing NumPy (quinquies)
Memcheck:Leak
fun:malloc
fun:_PyMem_RawMalloc
fun:PyObject_Malloc
fun:_PyObject_GC_Alloc
fun:_PyObject_GC_Malloc
fun:_PyObject_GC_NewVar
fun:tuple_alloc
fun:PyTuple_New fun:PyTuple_New
fun:r_object fun:r_object
fun:r_object fun:r_object
@ -67,7 +89,7 @@
} }
{ {
Leaks when importing NumPy (quinquies) Leaks when importing NumPy (sexies)
Memcheck:Leak Memcheck:Leak
fun:malloc fun:malloc
fun:_PyMem_RawMalloc fun:_PyMem_RawMalloc

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@ -115,21 +115,3 @@
fun:_PyImport_FindSharedFuncptr fun:_PyImport_FindSharedFuncptr
fun:_PyImport_LoadDynamicModuleWithSpec fun:_PyImport_LoadDynamicModuleWithSpec
} }
# Not really CPython-specific, see link
{
dlopen leak (https://stackoverflow.com/questions/1542457/memory-leak-reported-by-valgrind-in-dlopen)
Memcheck:Leak
fun:malloc
...
fun:dl_open_worker
fun:_dl_catch_exception
fun:_dl_open
fun:dlopen_doit
fun:_dl_catch_exception
fun:_dl_catch_error
fun:_dlerror_run
fun:dlopen@@GLIBC_2.2.5
fun:_PyImport_FindSharedFuncptr
fun:_PyImport_LoadDynamicModuleWithSpec
}