""" Test scalar buffer interface adheres to PEP 3118 """ import sys import numpy as np import pytest from numpy.testing import assert_, assert_equal, assert_raises # PEP3118 format strings for native (standard alignment and byteorder) types scalars_and_codes = [ (np.bool_, '?'), (np.byte, 'b'), (np.short, 'h'), (np.intc, 'i'), (np.int_, 'l'), (np.longlong, 'q'), (np.ubyte, 'B'), (np.ushort, 'H'), (np.uintc, 'I'), (np.uint, 'L'), (np.ulonglong, 'Q'), (np.half, 'e'), (np.single, 'f'), (np.double, 'd'), (np.longdouble, 'g'), (np.csingle, 'Zf'), (np.cdouble, 'Zd'), (np.clongdouble, 'Zg'), ] scalars_only, codes_only = zip(*scalars_and_codes) @pytest.mark.skipif(sys.version_info.major < 3, reason="Python 2 scalars lack a buffer interface") class TestScalarPEP3118(object): @pytest.mark.parametrize('scalar', scalars_only, ids=codes_only) def test_scalar_match_array(self, scalar): x = scalar() a = np.array([], dtype=np.dtype(scalar)) mv_x = memoryview(x) mv_a = memoryview(a) assert_equal(mv_x.format, mv_a.format) @pytest.mark.parametrize('scalar', scalars_only, ids=codes_only) def test_scalar_dim(self, scalar): x = scalar() mv_x = memoryview(x) assert_equal(mv_x.itemsize, np.dtype(scalar).itemsize) assert_equal(mv_x.ndim, 0) assert_equal(mv_x.shape, ()) assert_equal(mv_x.strides, ()) assert_equal(mv_x.suboffsets, ()) @pytest.mark.parametrize('scalar, code', scalars_and_codes, ids=codes_only) def test_scalar_known_code(self, scalar, code): x = scalar() mv_x = memoryview(x) assert_equal(mv_x.format, code) def test_void_scalar_structured_data(self): dt = np.dtype([('name', np.unicode_, 16), ('grades', np.float64, (2,))]) x = np.array(('ndarray_scalar', (1.2, 3.0)), dtype=dt)[()] assert_(isinstance(x, np.void)) mv_x = memoryview(x) expected_size = 16 * np.dtype((np.unicode_, 1)).itemsize expected_size += 2 * np.dtype((np.float64, 1)).itemsize assert_equal(mv_x.itemsize, expected_size) assert_equal(mv_x.ndim, 0) assert_equal(mv_x.shape, ()) assert_equal(mv_x.strides, ()) assert_equal(mv_x.suboffsets, ()) # check scalar format string against ndarray format string a = np.array([('Sarah', (8.0, 7.0)), ('John', (6.0, 7.0))], dtype=dt) assert_(isinstance(a, np.ndarray)) mv_a = memoryview(a) assert_equal(mv_x.itemsize, mv_a.itemsize) assert_equal(mv_x.format, mv_a.format) def test_datetime_memoryview(self): # gh-11656 # Values verified with v1.13.3, shape is not () as in test_scalar_dim def as_dict(m): return dict(strides=m.strides, shape=m.shape, itemsize=m.itemsize, ndim=m.ndim, format=m.format) dt1 = np.datetime64('2016-01-01') dt2 = np.datetime64('2017-01-01') expected = {'strides': (1,), 'itemsize': 1, 'ndim': 1, 'shape': (8,), 'format': 'B'} v = memoryview(dt1) res = as_dict(v) assert_equal(res, expected) v = memoryview(dt2 - dt1) res = as_dict(v) assert_equal(res, expected) dt = np.dtype([('a', 'uint16'), ('b', 'M8[s]')]) a = np.empty(1, dt) # Fails to create a PEP 3118 valid buffer assert_raises((ValueError, BufferError), memoryview, a[0])