dev-python/numpy: support python3_10

Needed one commit to be backported from master. Now it builds, tests and
installs fine.

Signed-off-by: Marek Szuba <marecki@gentoo.org>

1 files changed, 129 insertions, 0 deletions

diff --git a/dev-python/numpy/files/numpy-1.20.3-float-hashing-py310.patch b/dev-python/numpy/files/numpy-1.20.3-float-hashing-py310.patch
new file mode 100644
index 000000000000..f3b2ea3ef0ca
--- /dev/null
+++ b/dev-python/numpy/files/numpy-1.20.3-float-hashing-py310.patch
@@ -0,0 +1,129 @@
+From ad2a73c18dcff95d844c382c94ab7f73b5571cf3 Mon Sep 17 00:00:00 2001
+From: Sebastian Berg <sebastian@sipsolutions.net>
+Date: Tue, 4 May 2021 17:43:26 -0500
+Subject: [PATCH] MAINT: Adjust NumPy float hashing to Python's slightly
+ changed hash
+
+This is necessary, since we use the Python double hash and the
+semi-private function to calculate it in Python has a new signature
+to return the identity-hash when the value is NaN.
+
+closes gh-18833, gh-18907
+---
+ numpy/core/src/common/npy_pycompat.h        | 16 ++++++++++
+ numpy/core/src/multiarray/scalartypes.c.src | 13 ++++----
+ numpy/core/tests/test_scalarmath.py         | 34 +++++++++++++++++++++
+ 3 files changed, 57 insertions(+), 6 deletions(-)
+
+diff --git a/numpy/core/src/common/npy_pycompat.h b/numpy/core/src/common/npy_pycompat.h
+index aa0b5c1224d..9e94a971090 100644
+--- a/numpy/core/src/common/npy_pycompat.h
++++ b/numpy/core/src/common/npy_pycompat.h
+@@ -3,4 +3,20 @@
+ 
+ #include "numpy/npy_3kcompat.h"
+ 
++
++/*
++ * In Python 3.10a7 (or b1), python started using the identity for the hash
++ * when a value is NaN.  See https://bugs.python.org/issue43475
++ */
++#if PY_VERSION_HEX > 0x030a00a6
++#define Npy_HashDouble _Py_HashDouble
++#else
++static NPY_INLINE Py_hash_t
++Npy_HashDouble(PyObject *NPY_UNUSED(identity), double val)
++{
++    return _Py_HashDouble(val);
++}
++#endif
++
++
+ #endif /* _NPY_COMPAT_H_ */
+diff --git a/numpy/core/src/multiarray/scalartypes.c.src b/numpy/core/src/multiarray/scalartypes.c.src
+index a001500b0a9..9930f7791d6 100644
+--- a/numpy/core/src/multiarray/scalartypes.c.src
++++ b/numpy/core/src/multiarray/scalartypes.c.src
+@@ -3172,7 +3172,7 @@ static npy_hash_t
+ static npy_hash_t
+ @lname@_arrtype_hash(PyObject *obj)
+ {
+-    return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
++    return Npy_HashDouble(obj, (double)PyArrayScalar_VAL(obj, @name@));
+ }
+ 
+ /* borrowed from complex_hash */
+@@ -3180,14 +3180,14 @@ static npy_hash_t
+ c@lname@_arrtype_hash(PyObject *obj)
+ {
+     npy_hash_t hashreal, hashimag, combined;
+-    hashreal = _Py_HashDouble((double)
+-            PyArrayScalar_VAL(obj, C@name@).real);
++    hashreal = Npy_HashDouble(
++            obj, (double)PyArrayScalar_VAL(obj, C@name@).real);
+ 
+     if (hashreal == -1) {
+         return -1;
+     }
+-    hashimag = _Py_HashDouble((double)
+-            PyArrayScalar_VAL(obj, C@name@).imag);
++    hashimag = Npy_HashDouble(
++            obj, (double)PyArrayScalar_VAL(obj, C@name@).imag);
+     if (hashimag == -1) {
+         return -1;
+     }
+@@ -3202,7 +3202,8 @@ c@lname@_arrtype_hash(PyObject *obj)
+ static npy_hash_t
+ half_arrtype_hash(PyObject *obj)
+ {
+-    return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
++    return Npy_HashDouble(
++            obj, npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
+ }
+ 
+ static npy_hash_t
+diff --git a/numpy/core/tests/test_scalarmath.py b/numpy/core/tests/test_scalarmath.py
+index d91b4a39146..09a734284a7 100644
+--- a/numpy/core/tests/test_scalarmath.py
++++ b/numpy/core/tests/test_scalarmath.py
+@@ -712,6 +712,40 @@ def test_shift_all_bits(self, type_code, op):
+                 assert_equal(res_arr, res_scl)
+ 
+ 
++class TestHash:
++    @pytest.mark.parametrize("type_code", np.typecodes['AllInteger'])
++    def test_integer_hashes(self, type_code):
++        scalar = np.dtype(type_code).type
++        for i in range(128):
++            assert hash(i) == hash(scalar(i))
++
++    @pytest.mark.parametrize("type_code", np.typecodes['AllFloat'])
++    def test_float_and_complex_hashes(self, type_code):
++        scalar = np.dtype(type_code).type
++        for val in [np.pi, np.inf, 3, 6.]:
++            numpy_val = scalar(val)
++            # Cast back to Python, in case the NumPy scalar has less precision
++            if numpy_val.dtype.kind == 'c':
++                val = complex(numpy_val)
++            else:
++                val = float(numpy_val)
++            assert val == numpy_val
++            print(repr(numpy_val), repr(val))
++            assert hash(val) == hash(numpy_val)
++
++        if hash(float(np.nan)) != hash(float(np.nan)):
++            # If Python distinguises different NaNs we do so too (gh-18833)
++            assert hash(scalar(np.nan)) != hash(scalar(np.nan))
++
++    @pytest.mark.parametrize("type_code", np.typecodes['Complex'])
++    def test_complex_hashes(self, type_code):
++        # Test some complex valued hashes specifically:
++        scalar = np.dtype(type_code).type
++        for val in [np.pi+1j, np.inf-3j, 3j, 6.+1j]:
++            numpy_val = scalar(val)
++            assert hash(complex(numpy_val)) == hash(numpy_val)
++
++
+ @contextlib.contextmanager
+ def recursionlimit(n):
+     o = sys.getrecursionlimit()