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+import copy
+import sys
+import gc
+import tempfile
+import pytest
+from os import path
+from io import BytesIO
+from itertools import chain
+
+import numpy as np
+from numpy.testing import (
+ assert_, assert_equal, IS_PYPY, assert_almost_equal,
+ assert_array_equal, assert_array_almost_equal, assert_raises,
+ assert_raises_regex, assert_warns, suppress_warnings,
+ _assert_valid_refcount, HAS_REFCOUNT, IS_PYSTON, IS_WASM
+ )
+from numpy.testing._private.utils import _no_tracing, requires_memory
+from numpy.compat import asbytes, asunicode, pickle
+
+
+class TestRegression:
+ def test_invalid_round(self):
+ # Ticket #3
+ v = 4.7599999999999998
+ assert_array_equal(np.array([v]), np.array(v))
+
+ def test_mem_empty(self):
+ # Ticket #7
+ np.empty((1,), dtype=[('x', np.int64)])
+
+ def test_pickle_transposed(self):
+ # Ticket #16
+ a = np.transpose(np.array([[2, 9], [7, 0], [3, 8]]))
+ for proto in range(2, pickle.HIGHEST_PROTOCOL + 1):
+ with BytesIO() as f:
+ pickle.dump(a, f, protocol=proto)
+ f.seek(0)
+ b = pickle.load(f)
+ assert_array_equal(a, b)
+
+ def test_dtype_names(self):
+ # Ticket #35
+ # Should succeed
+ np.dtype([(('name', 'label'), np.int32, 3)])
+
+ def test_reduce(self):
+ # Ticket #40
+ assert_almost_equal(np.add.reduce([1., .5], dtype=None), 1.5)
+
+ def test_zeros_order(self):
+ # Ticket #43
+ np.zeros([3], int, 'C')
+ np.zeros([3], order='C')
+ np.zeros([3], int, order='C')
+
+ def test_asarray_with_order(self):
+ # Check that nothing is done when order='F' and array C/F-contiguous
+ a = np.ones(2)
+ assert_(a is np.asarray(a, order='F'))
+
+ def test_ravel_with_order(self):
+ # Check that ravel works when order='F' and array C/F-contiguous
+ a = np.ones(2)
+ assert_(not a.ravel('F').flags.owndata)
+
+ def test_sort_bigendian(self):
+ # Ticket #47
+ a = np.linspace(0, 10, 11)
+ c = a.astype(np.dtype('<f8'))
+ c.sort()
+ assert_array_almost_equal(c, a)
+
+ def test_negative_nd_indexing(self):
+ # Ticket #49
+ c = np.arange(125).reshape((5, 5, 5))
+ origidx = np.array([-1, 0, 1])
+ idx = np.array(origidx)
+ c[idx]
+ assert_array_equal(idx, origidx)
+
+ def test_char_dump(self):
+ # Ticket #50
+ ca = np.char.array(np.arange(1000, 1010), itemsize=4)
+ for proto in range(2, pickle.HIGHEST_PROTOCOL + 1):
+ with BytesIO() as f:
+ pickle.dump(ca, f, protocol=proto)
+ f.seek(0)
+ ca = np.load(f, allow_pickle=True)
+
+ def test_noncontiguous_fill(self):
+ # Ticket #58.
+ a = np.zeros((5, 3))
+ b = a[:, :2,]
+
+ def rs():
+ b.shape = (10,)
+
+ assert_raises(AttributeError, rs)
+
+ def test_bool(self):
+ # Ticket #60
+ np.bool_(1) # Should succeed
+
+ def test_indexing1(self):
+ # Ticket #64
+ descr = [('x', [('y', [('z', 'c16', (2,)),]),]),]
+ buffer = ((([6j, 4j],),),)
+ h = np.array(buffer, dtype=descr)
+ h['x']['y']['z']
+
+ def test_indexing2(self):
+ # Ticket #65
+ descr = [('x', 'i4', (2,))]
+ buffer = ([3, 2],)
+ h = np.array(buffer, dtype=descr)
+ h['x']
+
+ def test_round(self):
+ # Ticket #67
+ x = np.array([1+2j])
+ assert_almost_equal(x**(-1), [1/(1+2j)])
+
+ def test_scalar_compare(self):
+ # Trac Ticket #72
+ # https://github.com/numpy/numpy/issues/565
+ a = np.array(['test', 'auto'])
+ assert_array_equal(a == 'auto', np.array([False, True]))
+ assert_(a[1] == 'auto')
+ assert_(a[0] != 'auto')
+ b = np.linspace(0, 10, 11)
+ assert_array_equal(b != 'auto', np.ones(11, dtype=bool))
+ assert_(b[0] != 'auto')
+
+ def test_unicode_swapping(self):
+ # Ticket #79
+ ulen = 1
+ ucs_value = '\U0010FFFF'
+ ua = np.array([[[ucs_value*ulen]*2]*3]*4, dtype='U%s' % ulen)
+ ua.newbyteorder() # Should succeed.
+
+ def test_object_array_fill(self):
+ # Ticket #86
+ x = np.zeros(1, 'O')
+ x.fill([])
+
+ def test_mem_dtype_align(self):
+ # Ticket #93
+ assert_raises(TypeError, np.dtype,
+ {'names':['a'], 'formats':['foo']}, align=1)
+
+ def test_endian_bool_indexing(self):
+ # Ticket #105
+ a = np.arange(10., dtype='>f8')
+ b = np.arange(10., dtype='<f8')
+ xa = np.where((a > 2) & (a < 6))
+ xb = np.where((b > 2) & (b < 6))
+ ya = ((a > 2) & (a < 6))
+ yb = ((b > 2) & (b < 6))
+ assert_array_almost_equal(xa, ya.nonzero())
+ assert_array_almost_equal(xb, yb.nonzero())
+ assert_(np.all(a[ya] > 0.5))
+ assert_(np.all(b[yb] > 0.5))
+
+ def test_endian_where(self):
+ # GitHub issue #369
+ net = np.zeros(3, dtype='>f4')
+ net[1] = 0.00458849
+ net[2] = 0.605202
+ max_net = net.max()
+ test = np.where(net <= 0., max_net, net)
+ correct = np.array([ 0.60520202, 0.00458849, 0.60520202])
+ assert_array_almost_equal(test, correct)
+
+ def test_endian_recarray(self):
+ # Ticket #2185
+ dt = np.dtype([
+ ('head', '>u4'),
+ ('data', '>u4', 2),
+ ])
+ buf = np.recarray(1, dtype=dt)
+ buf[0]['head'] = 1
+ buf[0]['data'][:] = [1, 1]
+
+ h = buf[0]['head']
+ d = buf[0]['data'][0]
+ buf[0]['head'] = h
+ buf[0]['data'][0] = d
+ assert_(buf[0]['head'] == 1)
+
+ def test_mem_dot(self):
+ # Ticket #106
+ x = np.random.randn(0, 1)
+ y = np.random.randn(10, 1)
+ # Dummy array to detect bad memory access:
+ _z = np.ones(10)
+ _dummy = np.empty((0, 10))
+ z = np.lib.stride_tricks.as_strided(_z, _dummy.shape, _dummy.strides)
+ np.dot(x, np.transpose(y), out=z)
+ assert_equal(_z, np.ones(10))
+ # Do the same for the built-in dot:
+ np.core.multiarray.dot(x, np.transpose(y), out=z)
+ assert_equal(_z, np.ones(10))
+
+ def test_arange_endian(self):
+ # Ticket #111
+ ref = np.arange(10)
+ x = np.arange(10, dtype='<f8')
+ assert_array_equal(ref, x)
+ x = np.arange(10, dtype='>f8')
+ assert_array_equal(ref, x)
+
+ def test_arange_inf_step(self):
+ ref = np.arange(0, 1, 10)
+ x = np.arange(0, 1, np.inf)
+ assert_array_equal(ref, x)
+
+ ref = np.arange(0, 1, -10)
+ x = np.arange(0, 1, -np.inf)
+ assert_array_equal(ref, x)
+
+ ref = np.arange(0, -1, -10)
+ x = np.arange(0, -1, -np.inf)
+ assert_array_equal(ref, x)
+
+ ref = np.arange(0, -1, 10)
+ x = np.arange(0, -1, np.inf)
+ assert_array_equal(ref, x)
+
+ def test_arange_underflow_stop_and_step(self):
+ finfo = np.finfo(np.float64)
+
+ ref = np.arange(0, finfo.eps, 2 * finfo.eps)
+ x = np.arange(0, finfo.eps, finfo.max)
+ assert_array_equal(ref, x)
+
+ ref = np.arange(0, finfo.eps, -2 * finfo.eps)
+ x = np.arange(0, finfo.eps, -finfo.max)
+ assert_array_equal(ref, x)
+
+ ref = np.arange(0, -finfo.eps, -2 * finfo.eps)
+ x = np.arange(0, -finfo.eps, -finfo.max)
+ assert_array_equal(ref, x)
+
+ ref = np.arange(0, -finfo.eps, 2 * finfo.eps)
+ x = np.arange(0, -finfo.eps, finfo.max)
+ assert_array_equal(ref, x)
+
+ def test_argmax(self):
+ # Ticket #119
+ a = np.random.normal(0, 1, (4, 5, 6, 7, 8))
+ for i in range(a.ndim):
+ a.argmax(i) # Should succeed
+
+ def test_mem_divmod(self):
+ # Ticket #126
+ for i in range(10):
+ divmod(np.array([i])[0], 10)
+
+ def test_hstack_invalid_dims(self):
+ # Ticket #128
+ x = np.arange(9).reshape((3, 3))
+ y = np.array([0, 0, 0])
+ assert_raises(ValueError, np.hstack, (x, y))
+
+ def test_squeeze_type(self):
+ # Ticket #133
+ a = np.array([3])
+ b = np.array(3)
+ assert_(type(a.squeeze()) is np.ndarray)
+ assert_(type(b.squeeze()) is np.ndarray)
+
+ def test_add_identity(self):
+ # Ticket #143
+ assert_equal(0, np.add.identity)
+
+ def test_numpy_float_python_long_addition(self):
+ # Check that numpy float and python longs can be added correctly.
+ a = np.float_(23.) + 2**135
+ assert_equal(a, 23. + 2**135)
+
+ def test_binary_repr_0(self):
+ # Ticket #151
+ assert_equal('0', np.binary_repr(0))
+
+ def test_rec_iterate(self):
+ # Ticket #160
+ descr = np.dtype([('i', int), ('f', float), ('s', '|S3')])
+ x = np.rec.array([(1, 1.1, '1.0'),
+ (2, 2.2, '2.0')], dtype=descr)
+ x[0].tolist()
+ [i for i in x[0]]
+
+ def test_unicode_string_comparison(self):
+ # Ticket #190
+ a = np.array('hello', np.str_)
+ b = np.array('world')
+ a == b
+
+ def test_tobytes_FORTRANORDER_discontiguous(self):
+ # Fix in r2836
+ # Create non-contiguous Fortran ordered array
+ x = np.array(np.random.rand(3, 3), order='F')[:, :2]
+ assert_array_almost_equal(x.ravel(), np.frombuffer(x.tobytes()))
+
+ def test_flat_assignment(self):
+ # Correct behaviour of ticket #194
+ x = np.empty((3, 1))
+ x.flat = np.arange(3)
+ assert_array_almost_equal(x, [[0], [1], [2]])
+ x.flat = np.arange(3, dtype=float)
+ assert_array_almost_equal(x, [[0], [1], [2]])
+
+ def test_broadcast_flat_assignment(self):
+ # Ticket #194
+ x = np.empty((3, 1))
+
+ def bfa():
+ x[:] = np.arange(3)
+
+ def bfb():
+ x[:] = np.arange(3, dtype=float)
+
+ assert_raises(ValueError, bfa)
+ assert_raises(ValueError, bfb)
+
+ @pytest.mark.xfail(IS_WASM, reason="not sure why")
+ @pytest.mark.parametrize("index",
+ [np.ones(10, dtype=bool), np.arange(10)],
+ ids=["boolean-arr-index", "integer-arr-index"])
+ def test_nonarray_assignment(self, index):
+ # See also Issue gh-2870, test for non-array assignment
+ # and equivalent unsafe casted array assignment
+ a = np.arange(10)
+
+ with pytest.raises(ValueError):
+ a[index] = np.nan
+
+ with np.errstate(invalid="warn"):
+ with pytest.warns(RuntimeWarning, match="invalid value"):
+ a[index] = np.array(np.nan) # Only warns
+
+ def test_unpickle_dtype_with_object(self):
+ # Implemented in r2840
+ dt = np.dtype([('x', int), ('y', np.object_), ('z', 'O')])
+ for proto in range(2, pickle.HIGHEST_PROTOCOL + 1):
+ with BytesIO() as f:
+ pickle.dump(dt, f, protocol=proto)
+ f.seek(0)
+ dt_ = pickle.load(f)
+ assert_equal(dt, dt_)
+
+ def test_mem_array_creation_invalid_specification(self):
+ # Ticket #196
+ dt = np.dtype([('x', int), ('y', np.object_)])
+ # Wrong way
+ assert_raises(ValueError, np.array, [1, 'object'], dt)
+ # Correct way
+ np.array([(1, 'object')], dt)
+
+ def test_recarray_single_element(self):
+ # Ticket #202
+ a = np.array([1, 2, 3], dtype=np.int32)
+ b = a.copy()
+ r = np.rec.array(a, shape=1, formats=['3i4'], names=['d'])
+ assert_array_equal(a, b)
+ assert_equal(a, r[0][0])
+
+ def test_zero_sized_array_indexing(self):
+ # Ticket #205
+ tmp = np.array([])
+
+ def index_tmp():
+ tmp[np.array(10)]
+
+ assert_raises(IndexError, index_tmp)
+
+ def test_chararray_rstrip(self):
+ # Ticket #222
+ x = np.chararray((1,), 5)
+ x[0] = b'a '
+ x = x.rstrip()
+ assert_equal(x[0], b'a')
+
+ def test_object_array_shape(self):
+ # Ticket #239
+ assert_equal(np.array([[1, 2], 3, 4], dtype=object).shape, (3,))
+ assert_equal(np.array([[1, 2], [3, 4]], dtype=object).shape, (2, 2))
+ assert_equal(np.array([(1, 2), (3, 4)], dtype=object).shape, (2, 2))
+ assert_equal(np.array([], dtype=object).shape, (0,))
+ assert_equal(np.array([[], [], []], dtype=object).shape, (3, 0))
+ assert_equal(np.array([[3, 4], [5, 6], None], dtype=object).shape, (3,))
+
+ def test_mem_around(self):
+ # Ticket #243
+ x = np.zeros((1,))
+ y = [0]
+ decimal = 6
+ np.around(abs(x-y), decimal) <= 10.0**(-decimal)
+
+ def test_character_array_strip(self):
+ # Ticket #246
+ x = np.char.array(("x", "x ", "x "))
+ for c in x:
+ assert_equal(c, "x")
+
+ def test_lexsort(self):
+ # Lexsort memory error
+ v = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
+ assert_equal(np.lexsort(v), 0)
+
+ def test_lexsort_invalid_sequence(self):
+ # Issue gh-4123
+ class BuggySequence:
+ def __len__(self):
+ return 4
+
+ def __getitem__(self, key):
+ raise KeyError
+
+ assert_raises(KeyError, np.lexsort, BuggySequence())
+
+ def test_lexsort_zerolen_custom_strides(self):
+ # Ticket #14228
+ xs = np.array([], dtype='i8')
+ assert np.lexsort((xs,)).shape[0] == 0 # Works
+
+ xs.strides = (16,)
+ assert np.lexsort((xs,)).shape[0] == 0 # Was: MemoryError
+
+ def test_lexsort_zerolen_custom_strides_2d(self):
+ xs = np.array([], dtype='i8')
+
+ xs.shape = (0, 2)
+ xs.strides = (16, 16)
+ assert np.lexsort((xs,), axis=0).shape[0] == 0
+
+ xs.shape = (2, 0)
+ xs.strides = (16, 16)
+ assert np.lexsort((xs,), axis=0).shape[0] == 2
+
+ def test_lexsort_invalid_axis(self):
+ assert_raises(np.AxisError, np.lexsort, (np.arange(1),), axis=2)
+ assert_raises(np.AxisError, np.lexsort, (np.array([]),), axis=1)
+ assert_raises(np.AxisError, np.lexsort, (np.array(1),), axis=10)
+
+ def test_lexsort_zerolen_element(self):
+ dt = np.dtype([]) # a void dtype with no fields
+ xs = np.empty(4, dt)
+
+ assert np.lexsort((xs,)).shape[0] == xs.shape[0]
+
+ def test_pickle_py2_bytes_encoding(self):
+ # Check that arrays and scalars pickled on Py2 are
+ # unpickleable on Py3 using encoding='bytes'
+
+ test_data = [
+ # (original, py2_pickle)
+ (np.str_('\u6f2c'),
+ b"cnumpy.core.multiarray\nscalar\np0\n(cnumpy\ndtype\np1\n"
+ b"(S'U1'\np2\nI0\nI1\ntp3\nRp4\n(I3\nS'<'\np5\nNNNI4\nI4\n"
+ b"I0\ntp6\nbS',o\\x00\\x00'\np7\ntp8\nRp9\n."),
+
+ (np.array([9e123], dtype=np.float64),
+ b"cnumpy.core.multiarray\n_reconstruct\np0\n(cnumpy\nndarray\n"
+ b"p1\n(I0\ntp2\nS'b'\np3\ntp4\nRp5\n(I1\n(I1\ntp6\ncnumpy\ndtype\n"
+ b"p7\n(S'f8'\np8\nI0\nI1\ntp9\nRp10\n(I3\nS'<'\np11\nNNNI-1\nI-1\n"
+ b"I0\ntp12\nbI00\nS'O\\x81\\xb7Z\\xaa:\\xabY'\np13\ntp14\nb."),
+
+ (np.array([(9e123,)], dtype=[('name', float)]),
+ b"cnumpy.core.multiarray\n_reconstruct\np0\n(cnumpy\nndarray\np1\n"
+ b"(I0\ntp2\nS'b'\np3\ntp4\nRp5\n(I1\n(I1\ntp6\ncnumpy\ndtype\np7\n"
+ b"(S'V8'\np8\nI0\nI1\ntp9\nRp10\n(I3\nS'|'\np11\nN(S'name'\np12\ntp13\n"
+ b"(dp14\ng12\n(g7\n(S'f8'\np15\nI0\nI1\ntp16\nRp17\n(I3\nS'<'\np18\nNNNI-1\n"
+ b"I-1\nI0\ntp19\nbI0\ntp20\nsI8\nI1\nI0\ntp21\n"
+ b"bI00\nS'O\\x81\\xb7Z\\xaa:\\xabY'\np22\ntp23\nb."),
+ ]
+
+ for original, data in test_data:
+ result = pickle.loads(data, encoding='bytes')
+ assert_equal(result, original)
+
+ if isinstance(result, np.ndarray) and result.dtype.names is not None:
+ for name in result.dtype.names:
+ assert_(isinstance(name, str))
+
+ def test_pickle_dtype(self):
+ # Ticket #251
+ for proto in range(2, pickle.HIGHEST_PROTOCOL + 1):
+ pickle.dumps(float, protocol=proto)
+
+ def test_swap_real(self):
+ # Ticket #265
+ assert_equal(np.arange(4, dtype='>c8').imag.max(), 0.0)
+ assert_equal(np.arange(4, dtype='<c8').imag.max(), 0.0)
+ assert_equal(np.arange(4, dtype='>c8').real.max(), 3.0)
+ assert_equal(np.arange(4, dtype='<c8').real.max(), 3.0)
+
+ def test_object_array_from_list(self):
+ # Ticket #270 (gh-868)
+ assert_(np.array([1, None, 'A']).shape == (3,))
+
+ def test_multiple_assign(self):
+ # Ticket #273
+ a = np.zeros((3, 1), int)
+ a[[1, 2]] = 1
+
+ def test_empty_array_type(self):
+ assert_equal(np.array([]).dtype, np.zeros(0).dtype)
+
+ def test_void_copyswap(self):
+ dt = np.dtype([('one', '<i4'), ('two', '<i4')])
+ x = np.array((1, 2), dtype=dt)
+ x = x.byteswap()
+ assert_(x['one'] > 1 and x['two'] > 2)
+
+ def test_method_args(self):
+ # Make sure methods and functions have same default axis
+ # keyword and arguments
+ funcs1 = ['argmax', 'argmin', 'sum', 'any', 'all', 'cumsum',
+ 'ptp', 'cumprod', 'prod', 'std', 'var', 'mean',
+ 'round', 'min', 'max', 'argsort', 'sort']
+ funcs2 = ['compress', 'take', 'repeat']
+
+ for func in funcs1:
+ arr = np.random.rand(8, 7)
+ arr2 = arr.copy()
+ res1 = getattr(arr, func)()
+ res2 = getattr(np, func)(arr2)
+ if res1 is None:
+ res1 = arr
+
+ if res1.dtype.kind in 'uib':
+ assert_((res1 == res2).all(), func)
+ else:
+ assert_(abs(res1-res2).max() < 1e-8, func)
+
+ for func in funcs2:
+ arr1 = np.random.rand(8, 7)
+ arr2 = np.random.rand(8, 7)
+ res1 = None
+ if func == 'compress':
+ arr1 = arr1.ravel()
+ res1 = getattr(arr2, func)(arr1)
+ else:
+ arr2 = (15*arr2).astype(int).ravel()
+ if res1 is None:
+ res1 = getattr(arr1, func)(arr2)
+ res2 = getattr(np, func)(arr1, arr2)
+ assert_(abs(res1-res2).max() < 1e-8, func)
+
+ def test_mem_lexsort_strings(self):
+ # Ticket #298
+ lst = ['abc', 'cde', 'fgh']
+ np.lexsort((lst,))
+
+ def test_fancy_index(self):
+ # Ticket #302
+ x = np.array([1, 2])[np.array([0])]
+ assert_equal(x.shape, (1,))
+
+ def test_recarray_copy(self):
+ # Ticket #312
+ dt = [('x', np.int16), ('y', np.float64)]
+ ra = np.array([(1, 2.3)], dtype=dt)
+ rb = np.rec.array(ra, dtype=dt)
+ rb['x'] = 2.
+ assert_(ra['x'] != rb['x'])
+
+ def test_rec_fromarray(self):
+ # Ticket #322
+ x1 = np.array([[1, 2], [3, 4], [5, 6]])
+ x2 = np.array(['a', 'dd', 'xyz'])
+ x3 = np.array([1.1, 2, 3])
+ np.rec.fromarrays([x1, x2, x3], formats="(2,)i4,a3,f8")
+
+ def test_object_array_assign(self):
+ x = np.empty((2, 2), object)
+ x.flat[2] = (1, 2, 3)
+ assert_equal(x.flat[2], (1, 2, 3))
+
+ def test_ndmin_float64(self):
+ # Ticket #324
+ x = np.array([1, 2, 3], dtype=np.float64)
+ assert_equal(np.array(x, dtype=np.float32, ndmin=2).ndim, 2)
+ assert_equal(np.array(x, dtype=np.float64, ndmin=2).ndim, 2)
+
+ def test_ndmin_order(self):
+ # Issue #465 and related checks
+ assert_(np.array([1, 2], order='C', ndmin=3).flags.c_contiguous)
+ assert_(np.array([1, 2], order='F', ndmin=3).flags.f_contiguous)
+ assert_(np.array(np.ones((2, 2), order='F'), ndmin=3).flags.f_contiguous)
+ assert_(np.array(np.ones((2, 2), order='C'), ndmin=3).flags.c_contiguous)
+
+ def test_mem_axis_minimization(self):
+ # Ticket #327
+ data = np.arange(5)
+ data = np.add.outer(data, data)
+
+ def test_mem_float_imag(self):
+ # Ticket #330
+ np.float64(1.0).imag
+
+ def test_dtype_tuple(self):
+ # Ticket #334
+ assert_(np.dtype('i4') == np.dtype(('i4', ())))
+
+ def test_dtype_posttuple(self):
+ # Ticket #335
+ np.dtype([('col1', '()i4')])
+
+ def test_numeric_carray_compare(self):
+ # Ticket #341
+ assert_equal(np.array(['X'], 'c'), b'X')
+
+ def test_string_array_size(self):
+ # Ticket #342
+ assert_raises(ValueError,
+ np.array, [['X'], ['X', 'X', 'X']], '|S1')
+
+ def test_dtype_repr(self):
+ # Ticket #344
+ dt1 = np.dtype(('uint32', 2))
+ dt2 = np.dtype(('uint32', (2,)))
+ assert_equal(dt1.__repr__(), dt2.__repr__())
+
+ def test_reshape_order(self):
+ # Make sure reshape order works.
+ a = np.arange(6).reshape(2, 3, order='F')
+ assert_equal(a, [[0, 2, 4], [1, 3, 5]])
+ a = np.array([[1, 2], [3, 4], [5, 6], [7, 8]])
+ b = a[:, 1]
+ assert_equal(b.reshape(2, 2, order='F'), [[2, 6], [4, 8]])
+
+ def test_reshape_zero_strides(self):
+ # Issue #380, test reshaping of zero strided arrays
+ a = np.ones(1)
+ a = np.lib.stride_tricks.as_strided(a, shape=(5,), strides=(0,))
+ assert_(a.reshape(5, 1).strides[0] == 0)
+
+ def test_reshape_zero_size(self):
+ # GitHub Issue #2700, setting shape failed for 0-sized arrays
+ a = np.ones((0, 2))
+ a.shape = (-1, 2)
+
+ # Cannot test if NPY_RELAXED_STRIDES_DEBUG changes the strides.
+ # With NPY_RELAXED_STRIDES_DEBUG the test becomes superfluous.
+ @pytest.mark.skipif(np.ones(1).strides[0] == np.iinfo(np.intp).max,
+ reason="Using relaxed stride debug")
+ def test_reshape_trailing_ones_strides(self):
+ # GitHub issue gh-2949, bad strides for trailing ones of new shape
+ a = np.zeros(12, dtype=np.int32)[::2] # not contiguous
+ strides_c = (16, 8, 8, 8)
+ strides_f = (8, 24, 48, 48)
+ assert_equal(a.reshape(3, 2, 1, 1).strides, strides_c)
+ assert_equal(a.reshape(3, 2, 1, 1, order='F').strides, strides_f)
+ assert_equal(np.array(0, dtype=np.int32).reshape(1, 1).strides, (4, 4))
+
+ def test_repeat_discont(self):
+ # Ticket #352
+ a = np.arange(12).reshape(4, 3)[:, 2]
+ assert_equal(a.repeat(3), [2, 2, 2, 5, 5, 5, 8, 8, 8, 11, 11, 11])
+
+ def test_array_index(self):
+ # Make sure optimization is not called in this case.
+ a = np.array([1, 2, 3])
+ a2 = np.array([[1, 2, 3]])
+ assert_equal(a[np.where(a == 3)], a2[np.where(a2 == 3)])
+
+ def test_object_argmax(self):
+ a = np.array([1, 2, 3], dtype=object)
+ assert_(a.argmax() == 2)
+
+ def test_recarray_fields(self):
+ # Ticket #372
+ dt0 = np.dtype([('f0', 'i4'), ('f1', 'i4')])
+ dt1 = np.dtype([('f0', 'i8'), ('f1', 'i8')])
+ for a in [np.array([(1, 2), (3, 4)], "i4,i4"),
+ np.rec.array([(1, 2), (3, 4)], "i4,i4"),
+ np.rec.array([(1, 2), (3, 4)]),
+ np.rec.fromarrays([(1, 2), (3, 4)], "i4,i4"),
+ np.rec.fromarrays([(1, 2), (3, 4)])]:
+ assert_(a.dtype in [dt0, dt1])
+
+ def test_random_shuffle(self):
+ # Ticket #374
+ a = np.arange(5).reshape((5, 1))
+ b = a.copy()
+ np.random.shuffle(b)
+ assert_equal(np.sort(b, axis=0), a)
+
+ def test_refcount_vdot(self):
+ # Changeset #3443
+ _assert_valid_refcount(np.vdot)
+
+ def test_startswith(self):
+ ca = np.char.array(['Hi', 'There'])
+ assert_equal(ca.startswith('H'), [True, False])
+
+ def test_noncommutative_reduce_accumulate(self):
+ # Ticket #413
+ tosubtract = np.arange(5)
+ todivide = np.array([2.0, 0.5, 0.25])
+ assert_equal(np.subtract.reduce(tosubtract), -10)
+ assert_equal(np.divide.reduce(todivide), 16.0)
+ assert_array_equal(np.subtract.accumulate(tosubtract),
+ np.array([0, -1, -3, -6, -10]))
+ assert_array_equal(np.divide.accumulate(todivide),
+ np.array([2., 4., 16.]))
+
+ def test_convolve_empty(self):
+ # Convolve should raise an error for empty input array.
+ assert_raises(ValueError, np.convolve, [], [1])
+ assert_raises(ValueError, np.convolve, [1], [])
+
+ def test_multidim_byteswap(self):
+ # Ticket #449
+ r = np.array([(1, (0, 1, 2))], dtype="i2,3i2")
+ assert_array_equal(r.byteswap(),
+ np.array([(256, (0, 256, 512))], r.dtype))
+
+ def test_string_NULL(self):
+ # Changeset 3557
+ assert_equal(np.array("a\x00\x0b\x0c\x00").item(),
+ 'a\x00\x0b\x0c')
+
+ def test_junk_in_string_fields_of_recarray(self):
+ # Ticket #483
+ r = np.array([[b'abc']], dtype=[('var1', '|S20')])
+ assert_(asbytes(r['var1'][0][0]) == b'abc')
+
+ def test_take_output(self):
+ # Ensure that 'take' honours output parameter.
+ x = np.arange(12).reshape((3, 4))
+ a = np.take(x, [0, 2], axis=1)
+ b = np.zeros_like(a)
+ np.take(x, [0, 2], axis=1, out=b)
+ assert_array_equal(a, b)
+
+ def test_take_object_fail(self):
+ # Issue gh-3001
+ d = 123.
+ a = np.array([d, 1], dtype=object)
+ if HAS_REFCOUNT:
+ ref_d = sys.getrefcount(d)
+ try:
+ a.take([0, 100])
+ except IndexError:
+ pass
+ if HAS_REFCOUNT:
+ assert_(ref_d == sys.getrefcount(d))
+
+ def test_array_str_64bit(self):
+ # Ticket #501
+ s = np.array([1, np.nan], dtype=np.float64)
+ with np.errstate(all='raise'):
+ np.array_str(s) # Should succeed
+
+ def test_frompyfunc_endian(self):
+ # Ticket #503
+ from math import radians
+ uradians = np.frompyfunc(radians, 1, 1)
+ big_endian = np.array([83.4, 83.5], dtype='>f8')
+ little_endian = np.array([83.4, 83.5], dtype='<f8')
+ assert_almost_equal(uradians(big_endian).astype(float),
+ uradians(little_endian).astype(float))
+
+ def test_mem_string_arr(self):
+ # Ticket #514
+ s = "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"
+ t = []
+ np.hstack((t, s))
+
+ def test_arr_transpose(self):
+ # Ticket #516
+ x = np.random.rand(*(2,)*16)
+ x.transpose(list(range(16))) # Should succeed
+
+ def test_string_mergesort(self):
+ # Ticket #540
+ x = np.array(['a']*32)
+ assert_array_equal(x.argsort(kind='m'), np.arange(32))
+
+ def test_argmax_byteorder(self):
+ # Ticket #546
+ a = np.arange(3, dtype='>f')
+ assert_(a[a.argmax()] == a.max())
+
+ def test_rand_seed(self):
+ # Ticket #555
+ for l in np.arange(4):
+ np.random.seed(l)
+
+ def test_mem_deallocation_leak(self):
+ # Ticket #562
+ a = np.zeros(5, dtype=float)
+ b = np.array(a, dtype=float)
+ del a, b
+
+ def test_mem_on_invalid_dtype(self):
+ "Ticket #583"
+ assert_raises(ValueError, np.fromiter, [['12', ''], ['13', '']], str)
+
+ def test_dot_negative_stride(self):
+ # Ticket #588
+ x = np.array([[1, 5, 25, 125., 625]])
+ y = np.array([[20.], [160.], [640.], [1280.], [1024.]])
+ z = y[::-1].copy()
+ y2 = y[::-1]
+ assert_equal(np.dot(x, z), np.dot(x, y2))
+
+ def test_object_casting(self):
+ # This used to trigger the object-type version of
+ # the bitwise_or operation, because float64 -> object
+ # casting succeeds
+ def rs():
+ x = np.ones([484, 286])
+ y = np.zeros([484, 286])
+ x |= y
+
+ assert_raises(TypeError, rs)
+
+ def test_unicode_scalar(self):
+ # Ticket #600
+ x = np.array(["DROND", "DROND1"], dtype="U6")
+ el = x[1]
+ for proto in range(2, pickle.HIGHEST_PROTOCOL + 1):
+ new = pickle.loads(pickle.dumps(el, protocol=proto))
+ assert_equal(new, el)
+
+ def test_arange_non_native_dtype(self):
+ # Ticket #616
+ for T in ('>f4', '<f4'):
+ dt = np.dtype(T)
+ assert_equal(np.arange(0, dtype=dt).dtype, dt)
+ assert_equal(np.arange(0.5, dtype=dt).dtype, dt)
+ assert_equal(np.arange(5, dtype=dt).dtype, dt)
+
+ def test_bool_flat_indexing_invalid_nr_elements(self):
+ s = np.ones(10, dtype=float)
+ x = np.array((15,), dtype=float)
+
+ def ia(x, s, v):
+ x[(s > 0)] = v
+
+ assert_raises(IndexError, ia, x, s, np.zeros(9, dtype=float))
+ assert_raises(IndexError, ia, x, s, np.zeros(11, dtype=float))
+
+ # Old special case (different code path):
+ assert_raises(ValueError, ia, x.flat, s, np.zeros(9, dtype=float))
+ assert_raises(ValueError, ia, x.flat, s, np.zeros(11, dtype=float))
+
+ def test_mem_scalar_indexing(self):
+ # Ticket #603
+ x = np.array([0], dtype=float)
+ index = np.array(0, dtype=np.int32)
+ x[index]
+
+ def test_binary_repr_0_width(self):
+ assert_equal(np.binary_repr(0, width=3), '000')
+
+ def test_fromstring(self):
+ assert_equal(np.fromstring("12:09:09", dtype=int, sep=":"),
+ [12, 9, 9])
+
+ def test_searchsorted_variable_length(self):
+ x = np.array(['a', 'aa', 'b'])
+ y = np.array(['d', 'e'])
+ assert_equal(x.searchsorted(y), [3, 3])
+
+ def test_string_argsort_with_zeros(self):
+ # Check argsort for strings containing zeros.
+ x = np.frombuffer(b"\x00\x02\x00\x01", dtype="|S2")
+ assert_array_equal(x.argsort(kind='m'), np.array([1, 0]))
+ assert_array_equal(x.argsort(kind='q'), np.array([1, 0]))
+
+ def test_string_sort_with_zeros(self):
+ # Check sort for strings containing zeros.
+ x = np.frombuffer(b"\x00\x02\x00\x01", dtype="|S2")
+ y = np.frombuffer(b"\x00\x01\x00\x02", dtype="|S2")
+ assert_array_equal(np.sort(x, kind="q"), y)
+
+ def test_copy_detection_zero_dim(self):
+ # Ticket #658
+ np.indices((0, 3, 4)).T.reshape(-1, 3)
+
+ def test_flat_byteorder(self):
+ # Ticket #657
+ x = np.arange(10)
+ assert_array_equal(x.astype('>i4'), x.astype('<i4').flat[:])
+ assert_array_equal(x.astype('>i4').flat[:], x.astype('<i4'))
+
+ def test_sign_bit(self):
+ x = np.array([0, -0.0, 0])
+ assert_equal(str(np.abs(x)), '[0. 0. 0.]')
+
+ def test_flat_index_byteswap(self):
+ for dt in (np.dtype('<i4'), np.dtype('>i4')):
+ x = np.array([-1, 0, 1], dtype=dt)
+ assert_equal(x.flat[0].dtype, x[0].dtype)
+
+ def test_copy_detection_corner_case(self):
+ # Ticket #658
+ np.indices((0, 3, 4)).T.reshape(-1, 3)
+
+ # Cannot test if NPY_RELAXED_STRIDES_DEBUG changes the strides.
+ # With NPY_RELAXED_STRIDES_DEBUG the test becomes superfluous,
+ # 0-sized reshape itself is tested elsewhere.
+ @pytest.mark.skipif(np.ones(1).strides[0] == np.iinfo(np.intp).max,
+ reason="Using relaxed stride debug")
+ def test_copy_detection_corner_case2(self):
+ # Ticket #771: strides are not set correctly when reshaping 0-sized
+ # arrays
+ b = np.indices((0, 3, 4)).T.reshape(-1, 3)
+ assert_equal(b.strides, (3 * b.itemsize, b.itemsize))
+
+ def test_object_array_refcounting(self):
+ # Ticket #633
+ if not hasattr(sys, 'getrefcount'):
+ return
+
+ # NB. this is probably CPython-specific
+
+ cnt = sys.getrefcount
+
+ a = object()
+ b = object()
+ c = object()
+
+ cnt0_a = cnt(a)
+ cnt0_b = cnt(b)
+ cnt0_c = cnt(c)
+
+ # -- 0d -> 1-d broadcast slice assignment
+
+ arr = np.zeros(5, dtype=np.object_)
+
+ arr[:] = a
+ assert_equal(cnt(a), cnt0_a + 5)
+
+ arr[:] = b
+ assert_equal(cnt(a), cnt0_a)
+ assert_equal(cnt(b), cnt0_b + 5)
+
+ arr[:2] = c
+ assert_equal(cnt(b), cnt0_b + 3)
+ assert_equal(cnt(c), cnt0_c + 2)
+
+ del arr
+
+ # -- 1-d -> 2-d broadcast slice assignment
+
+ arr = np.zeros((5, 2), dtype=np.object_)
+ arr0 = np.zeros(2, dtype=np.object_)
+
+ arr0[0] = a
+ assert_(cnt(a) == cnt0_a + 1)
+ arr0[1] = b
+ assert_(cnt(b) == cnt0_b + 1)
+
+ arr[:, :] = arr0
+ assert_(cnt(a) == cnt0_a + 6)
+ assert_(cnt(b) == cnt0_b + 6)
+
+ arr[:, 0] = None
+ assert_(cnt(a) == cnt0_a + 1)
+
+ del arr, arr0
+
+ # -- 2-d copying + flattening
+
+ arr = np.zeros((5, 2), dtype=np.object_)
+
+ arr[:, 0] = a
+ arr[:, 1] = b
+ assert_(cnt(a) == cnt0_a + 5)
+ assert_(cnt(b) == cnt0_b + 5)
+
+ arr2 = arr.copy()
+ assert_(cnt(a) == cnt0_a + 10)
+ assert_(cnt(b) == cnt0_b + 10)
+
+ arr2 = arr[:, 0].copy()
+ assert_(cnt(a) == cnt0_a + 10)
+ assert_(cnt(b) == cnt0_b + 5)
+
+ arr2 = arr.flatten()
+ assert_(cnt(a) == cnt0_a + 10)
+ assert_(cnt(b) == cnt0_b + 10)
+
+ del arr, arr2
+
+ # -- concatenate, repeat, take, choose
+
+ arr1 = np.zeros((5, 1), dtype=np.object_)
+ arr2 = np.zeros((5, 1), dtype=np.object_)
+
+ arr1[...] = a
+ arr2[...] = b
+ assert_(cnt(a) == cnt0_a + 5)
+ assert_(cnt(b) == cnt0_b + 5)
+
+ tmp = np.concatenate((arr1, arr2))
+ assert_(cnt(a) == cnt0_a + 5 + 5)
+ assert_(cnt(b) == cnt0_b + 5 + 5)
+
+ tmp = arr1.repeat(3, axis=0)
+ assert_(cnt(a) == cnt0_a + 5 + 3*5)
+
+ tmp = arr1.take([1, 2, 3], axis=0)
+ assert_(cnt(a) == cnt0_a + 5 + 3)
+
+ x = np.array([[0], [1], [0], [1], [1]], int)
+ tmp = x.choose(arr1, arr2)
+ assert_(cnt(a) == cnt0_a + 5 + 2)
+ assert_(cnt(b) == cnt0_b + 5 + 3)
+
+ del tmp # Avoid pyflakes unused variable warning
+
+ def test_mem_custom_float_to_array(self):
+ # Ticket 702
+ class MyFloat:
+ def __float__(self):
+ return 1.0
+
+ tmp = np.atleast_1d([MyFloat()])
+ tmp.astype(float) # Should succeed
+
+ def test_object_array_refcount_self_assign(self):
+ # Ticket #711
+ class VictimObject:
+ deleted = False
+
+ def __del__(self):
+ self.deleted = True
+
+ d = VictimObject()
+ arr = np.zeros(5, dtype=np.object_)
+ arr[:] = d
+ del d
+ arr[:] = arr # refcount of 'd' might hit zero here
+ assert_(not arr[0].deleted)
+ arr[:] = arr # trying to induce a segfault by doing it again...
+ assert_(not arr[0].deleted)
+
+ def test_mem_fromiter_invalid_dtype_string(self):
+ x = [1, 2, 3]
+ assert_raises(ValueError,
+ np.fromiter, [xi for xi in x], dtype='S')
+
+ def test_reduce_big_object_array(self):
+ # Ticket #713
+ oldsize = np.setbufsize(10*16)
+ a = np.array([None]*161, object)
+ assert_(not np.any(a))
+ np.setbufsize(oldsize)
+
+ def test_mem_0d_array_index(self):
+ # Ticket #714
+ np.zeros(10)[np.array(0)]
+
+ def test_nonnative_endian_fill(self):
+ # Non-native endian arrays were incorrectly filled with scalars
+ # before r5034.
+ if sys.byteorder == 'little':
+ dtype = np.dtype('>i4')
+ else:
+ dtype = np.dtype('<i4')
+ x = np.empty([1], dtype=dtype)
+ x.fill(1)
+ assert_equal(x, np.array([1], dtype=dtype))
+
+ def test_dot_alignment_sse2(self):
+ # Test for ticket #551, changeset r5140
+ x = np.zeros((30, 40))
+ for proto in range(2, pickle.HIGHEST_PROTOCOL + 1):
+ y = pickle.loads(pickle.dumps(x, protocol=proto))
+ # y is now typically not aligned on a 8-byte boundary
+ z = np.ones((1, y.shape[0]))
+ # This shouldn't cause a segmentation fault:
+ np.dot(z, y)
+
+ def test_astype_copy(self):
+ # Ticket #788, changeset r5155
+ # The test data file was generated by scipy.io.savemat.
+ # The dtype is float64, but the isbuiltin attribute is 0.
+ data_dir = path.join(path.dirname(__file__), 'data')
+ filename = path.join(data_dir, "astype_copy.pkl")
+ with open(filename, 'rb') as f:
+ xp = pickle.load(f, encoding='latin1')
+ xpd = xp.astype(np.float64)
+ assert_((xp.__array_interface__['data'][0] !=
+ xpd.__array_interface__['data'][0]))
+
+ def test_compress_small_type(self):
+ # Ticket #789, changeset 5217.
+ # compress with out argument segfaulted if cannot cast safely
+ import numpy as np
+ a = np.array([[1, 2], [3, 4]])
+ b = np.zeros((2, 1), dtype=np.single)
+ try:
+ a.compress([True, False], axis=1, out=b)
+ raise AssertionError("compress with an out which cannot be "
+ "safely casted should not return "
+ "successfully")
+ except TypeError:
+ pass
+
+ def test_attributes(self):
+ # Ticket #791
+ class TestArray(np.ndarray):
+ def __new__(cls, data, info):
+ result = np.array(data)
+ result = result.view(cls)
+ result.info = info
+ return result
+
+ def __array_finalize__(self, obj):
+ self.info = getattr(obj, 'info', '')
+
+ dat = TestArray([[1, 2, 3, 4], [5, 6, 7, 8]], 'jubba')
+ assert_(dat.info == 'jubba')
+ dat.resize((4, 2))
+ assert_(dat.info == 'jubba')
+ dat.sort()
+ assert_(dat.info == 'jubba')
+ dat.fill(2)
+ assert_(dat.info == 'jubba')
+ dat.put([2, 3, 4], [6, 3, 4])
+ assert_(dat.info == 'jubba')
+ dat.setfield(4, np.int32, 0)
+ assert_(dat.info == 'jubba')
+ dat.setflags()
+ assert_(dat.info == 'jubba')
+ assert_(dat.all(1).info == 'jubba')
+ assert_(dat.any(1).info == 'jubba')
+ assert_(dat.argmax(1).info == 'jubba')
+ assert_(dat.argmin(1).info == 'jubba')
+ assert_(dat.argsort(1).info == 'jubba')
+ assert_(dat.astype(TestArray).info == 'jubba')
+ assert_(dat.byteswap().info == 'jubba')
+ assert_(dat.clip(2, 7).info == 'jubba')
+ assert_(dat.compress([0, 1, 1]).info == 'jubba')
+ assert_(dat.conj().info == 'jubba')
+ assert_(dat.conjugate().info == 'jubba')
+ assert_(dat.copy().info == 'jubba')
+ dat2 = TestArray([2, 3, 1, 0], 'jubba')
+ choices = [[0, 1, 2, 3], [10, 11, 12, 13],
+ [20, 21, 22, 23], [30, 31, 32, 33]]
+ assert_(dat2.choose(choices).info == 'jubba')
+ assert_(dat.cumprod(1).info == 'jubba')
+ assert_(dat.cumsum(1).info == 'jubba')
+ assert_(dat.diagonal().info == 'jubba')
+ assert_(dat.flatten().info == 'jubba')
+ assert_(dat.getfield(np.int32, 0).info == 'jubba')
+ assert_(dat.imag.info == 'jubba')
+ assert_(dat.max(1).info == 'jubba')
+ assert_(dat.mean(1).info == 'jubba')
+ assert_(dat.min(1).info == 'jubba')
+ assert_(dat.newbyteorder().info == 'jubba')
+ assert_(dat.prod(1).info == 'jubba')
+ assert_(dat.ptp(1).info == 'jubba')
+ assert_(dat.ravel().info == 'jubba')
+ assert_(dat.real.info == 'jubba')
+ assert_(dat.repeat(2).info == 'jubba')
+ assert_(dat.reshape((2, 4)).info == 'jubba')
+ assert_(dat.round().info == 'jubba')
+ assert_(dat.squeeze().info == 'jubba')
+ assert_(dat.std(1).info == 'jubba')
+ assert_(dat.sum(1).info == 'jubba')
+ assert_(dat.swapaxes(0, 1).info == 'jubba')
+ assert_(dat.take([2, 3, 5]).info == 'jubba')
+ assert_(dat.transpose().info == 'jubba')
+ assert_(dat.T.info == 'jubba')
+ assert_(dat.var(1).info == 'jubba')
+ assert_(dat.view(TestArray).info == 'jubba')
+ # These methods do not preserve subclasses
+ assert_(type(dat.nonzero()[0]) is np.ndarray)
+ assert_(type(dat.nonzero()[1]) is np.ndarray)
+
+ def test_recarray_tolist(self):
+ # Ticket #793, changeset r5215
+ # Comparisons fail for NaN, so we can't use random memory
+ # for the test.
+ buf = np.zeros(40, dtype=np.int8)
+ a = np.recarray(2, formats="i4,f8,f8", names="id,x,y", buf=buf)
+ b = a.tolist()
+ assert_( a[0].tolist() == b[0])
+ assert_( a[1].tolist() == b[1])
+
+ def test_nonscalar_item_method(self):
+ # Make sure that .item() fails graciously when it should
+ a = np.arange(5)
+ assert_raises(ValueError, a.item)
+
+ def test_char_array_creation(self):
+ a = np.array('123', dtype='c')
+ b = np.array([b'1', b'2', b'3'])
+ assert_equal(a, b)
+
+ def test_unaligned_unicode_access(self):
+ # Ticket #825
+ for i in range(1, 9):
+ msg = 'unicode offset: %d chars' % i
+ t = np.dtype([('a', 'S%d' % i), ('b', 'U2')])
+ x = np.array([(b'a', 'b')], dtype=t)
+ assert_equal(str(x), "[(b'a', 'b')]", err_msg=msg)
+
+ def test_sign_for_complex_nan(self):
+ # Ticket 794.
+ with np.errstate(invalid='ignore'):
+ C = np.array([-np.inf, -2+1j, 0, 2-1j, np.inf, np.nan])
+ have = np.sign(C)
+ want = np.array([-1+0j, -1+0j, 0+0j, 1+0j, 1+0j, np.nan])
+ assert_equal(have, want)
+
+ def test_for_equal_names(self):
+ # Ticket #674
+ dt = np.dtype([('foo', float), ('bar', float)])
+ a = np.zeros(10, dt)
+ b = list(a.dtype.names)
+ b[0] = "notfoo"
+ a.dtype.names = b
+ assert_(a.dtype.names[0] == "notfoo")
+ assert_(a.dtype.names[1] == "bar")
+
+ def test_for_object_scalar_creation(self):
+ # Ticket #816
+ a = np.object_()
+ b = np.object_(3)
+ b2 = np.object_(3.0)
+ c = np.object_([4, 5])
+ d = np.object_([None, {}, []])
+ assert_(a is None)
+ assert_(type(b) is int)
+ assert_(type(b2) is float)
+ assert_(type(c) is np.ndarray)
+ assert_(c.dtype == object)
+ assert_(d.dtype == object)
+
+ def test_array_resize_method_system_error(self):
+ # Ticket #840 - order should be an invalid keyword.
+ x = np.array([[0, 1], [2, 3]])
+ assert_raises(TypeError, x.resize, (2, 2), order='C')
+
+ def test_for_zero_length_in_choose(self):
+ "Ticket #882"
+ a = np.array(1)
+ assert_raises(ValueError, lambda x: x.choose([]), a)
+
+ def test_array_ndmin_overflow(self):
+ "Ticket #947."
+ assert_raises(ValueError, lambda: np.array([1], ndmin=33))
+
+ def test_void_scalar_with_titles(self):
+ # No ticket
+ data = [('john', 4), ('mary', 5)]
+ dtype1 = [(('source:yy', 'name'), 'O'), (('source:xx', 'id'), int)]
+ arr = np.array(data, dtype=dtype1)
+ assert_(arr[0][0] == 'john')
+ assert_(arr[0][1] == 4)
+
+ def test_void_scalar_constructor(self):
+ #Issue #1550
+
+ #Create test string data, construct void scalar from data and assert
+ #that void scalar contains original data.
+ test_string = np.array("test")
+ test_string_void_scalar = np.core.multiarray.scalar(
+ np.dtype(("V", test_string.dtype.itemsize)), test_string.tobytes())
+
+ assert_(test_string_void_scalar.view(test_string.dtype) == test_string)
+
+ #Create record scalar, construct from data and assert that
+ #reconstructed scalar is correct.
+ test_record = np.ones((), "i,i")
+ test_record_void_scalar = np.core.multiarray.scalar(
+ test_record.dtype, test_record.tobytes())
+
+ assert_(test_record_void_scalar == test_record)
+
+ # Test pickle and unpickle of void and record scalars
+ for proto in range(2, pickle.HIGHEST_PROTOCOL + 1):
+ assert_(pickle.loads(
+ pickle.dumps(test_string, protocol=proto)) == test_string)
+ assert_(pickle.loads(
+ pickle.dumps(test_record, protocol=proto)) == test_record)
+
+ @_no_tracing
+ def test_blasdot_uninitialized_memory(self):
+ # Ticket #950
+ for m in [0, 1, 2]:
+ for n in [0, 1, 2]:
+ for k in range(3):
+ # Try to ensure that x->data contains non-zero floats
+ x = np.array([123456789e199], dtype=np.float64)
+ if IS_PYPY:
+ x.resize((m, 0), refcheck=False)
+ else:
+ x.resize((m, 0))
+ y = np.array([123456789e199], dtype=np.float64)
+ if IS_PYPY:
+ y.resize((0, n), refcheck=False)
+ else:
+ y.resize((0, n))
+
+ # `dot` should just return zero (m, n) matrix
+ z = np.dot(x, y)
+ assert_(np.all(z == 0))
+ assert_(z.shape == (m, n))
+
+ def test_zeros(self):
+ # Regression test for #1061.
+ # Set a size which cannot fit into a 64 bits signed integer
+ sz = 2 ** 64
+ with assert_raises_regex(ValueError,
+ 'Maximum allowed dimension exceeded'):
+ np.empty(sz)
+
+ def test_huge_arange(self):
+ # Regression test for #1062.
+ # Set a size which cannot fit into a 64 bits signed integer
+ sz = 2 ** 64
+ with assert_raises_regex(ValueError,
+ 'Maximum allowed size exceeded'):
+ np.arange(sz)
+ assert_(np.size == sz)
+
+ def test_fromiter_bytes(self):
+ # Ticket #1058
+ a = np.fromiter(list(range(10)), dtype='b')
+ b = np.fromiter(list(range(10)), dtype='B')
+ assert_(np.all(a == np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])))
+ assert_(np.all(b == np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])))
+
+ def test_array_from_sequence_scalar_array(self):
+ # Ticket #1078: segfaults when creating an array with a sequence of
+ # 0d arrays.
+ a = np.array((np.ones(2), np.array(2)), dtype=object)
+ assert_equal(a.shape, (2,))
+ assert_equal(a.dtype, np.dtype(object))
+ assert_equal(a[0], np.ones(2))
+ assert_equal(a[1], np.array(2))
+
+ a = np.array(((1,), np.array(1)), dtype=object)
+ assert_equal(a.shape, (2,))
+ assert_equal(a.dtype, np.dtype(object))
+ assert_equal(a[0], (1,))
+ assert_equal(a[1], np.array(1))
+
+ def test_array_from_sequence_scalar_array2(self):
+ # Ticket #1081: weird array with strange input...
+ t = np.array([np.array([]), np.array(0, object)], dtype=object)
+ assert_equal(t.shape, (2,))
+ assert_equal(t.dtype, np.dtype(object))
+
+ def test_array_too_big(self):
+ # Ticket #1080.
+ assert_raises(ValueError, np.zeros, [975]*7, np.int8)
+ assert_raises(ValueError, np.zeros, [26244]*5, np.int8)
+
+ def test_dtype_keyerrors_(self):
+ # Ticket #1106.
+ dt = np.dtype([('f1', np.uint)])
+ assert_raises(KeyError, dt.__getitem__, "f2")
+ assert_raises(IndexError, dt.__getitem__, 1)
+ assert_raises(TypeError, dt.__getitem__, 0.0)
+
+ def test_lexsort_buffer_length(self):
+ # Ticket #1217, don't segfault.
+ a = np.ones(100, dtype=np.int8)
+ b = np.ones(100, dtype=np.int32)
+ i = np.lexsort((a[::-1], b))
+ assert_equal(i, np.arange(100, dtype=int))
+
+ def test_object_array_to_fixed_string(self):
+ # Ticket #1235.
+ a = np.array(['abcdefgh', 'ijklmnop'], dtype=np.object_)
+ b = np.array(a, dtype=(np.str_, 8))
+ assert_equal(a, b)
+ c = np.array(a, dtype=(np.str_, 5))
+ assert_equal(c, np.array(['abcde', 'ijklm']))
+ d = np.array(a, dtype=(np.str_, 12))
+ assert_equal(a, d)
+ e = np.empty((2, ), dtype=(np.str_, 8))
+ e[:] = a[:]
+ assert_equal(a, e)
+
+ def test_unicode_to_string_cast(self):
+ # Ticket #1240.
+ a = np.array([['abc', '\u03a3'],
+ ['asdf', 'erw']],
+ dtype='U')
+ assert_raises(UnicodeEncodeError, np.array, a, 'S4')
+
+ def test_unicode_to_string_cast_error(self):
+ # gh-15790
+ a = np.array(['\x80'] * 129, dtype='U3')
+ assert_raises(UnicodeEncodeError, np.array, a, 'S')
+ b = a.reshape(3, 43)[:-1, :-1]
+ assert_raises(UnicodeEncodeError, np.array, b, 'S')
+
+ def test_mixed_string_byte_array_creation(self):
+ a = np.array(['1234', b'123'])
+ assert_(a.itemsize == 16)
+ a = np.array([b'123', '1234'])
+ assert_(a.itemsize == 16)
+ a = np.array(['1234', b'123', '12345'])
+ assert_(a.itemsize == 20)
+ a = np.array([b'123', '1234', b'12345'])
+ assert_(a.itemsize == 20)
+ a = np.array([b'123', '1234', b'1234'])
+ assert_(a.itemsize == 16)
+
+ def test_misaligned_objects_segfault(self):
+ # Ticket #1198 and #1267
+ a1 = np.zeros((10,), dtype='O,c')
+ a2 = np.array(['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'], 'S10')
+ a1['f0'] = a2
+ repr(a1)
+ np.argmax(a1['f0'])
+ a1['f0'][1] = "FOO"
+ a1['f0'] = "FOO"
+ np.array(a1['f0'], dtype='S')
+ np.nonzero(a1['f0'])
+ a1.sort()
+ copy.deepcopy(a1)
+
+ def test_misaligned_scalars_segfault(self):
+ # Ticket #1267
+ s1 = np.array(('a', 'Foo'), dtype='c,O')
+ s2 = np.array(('b', 'Bar'), dtype='c,O')
+ s1['f1'] = s2['f1']
+ s1['f1'] = 'Baz'
+
+ def test_misaligned_dot_product_objects(self):
+ # Ticket #1267
+ # This didn't require a fix, but it's worth testing anyway, because
+ # it may fail if .dot stops enforcing the arrays to be BEHAVED
+ a = np.array([[(1, 'a'), (0, 'a')], [(0, 'a'), (1, 'a')]], dtype='O,c')
+ b = np.array([[(4, 'a'), (1, 'a')], [(2, 'a'), (2, 'a')]], dtype='O,c')
+ np.dot(a['f0'], b['f0'])
+
+ def test_byteswap_complex_scalar(self):
+ # Ticket #1259 and gh-441
+ for dtype in [np.dtype('<'+t) for t in np.typecodes['Complex']]:
+ z = np.array([2.2-1.1j], dtype)
+ x = z[0] # always native-endian
+ y = x.byteswap()
+ if x.dtype.byteorder == z.dtype.byteorder:
+ # little-endian machine
+ assert_equal(x, np.frombuffer(y.tobytes(), dtype=dtype.newbyteorder()))
+ else:
+ # big-endian machine
+ assert_equal(x, np.frombuffer(y.tobytes(), dtype=dtype))
+ # double check real and imaginary parts:
+ assert_equal(x.real, y.real.byteswap())
+ assert_equal(x.imag, y.imag.byteswap())
+
+ def test_structured_arrays_with_objects1(self):
+ # Ticket #1299
+ stra = 'aaaa'
+ strb = 'bbbb'
+ x = np.array([[(0, stra), (1, strb)]], 'i8,O')
+ x[x.nonzero()] = x.ravel()[:1]
+ assert_(x[0, 1] == x[0, 0])
+
+ @pytest.mark.skipif(
+ sys.version_info >= (3, 12),
+ reason="Python 3.12 has immortal refcounts, this test no longer works."
+ )
+ @pytest.mark.skipif(not HAS_REFCOUNT, reason="Python lacks refcounts")
+ def test_structured_arrays_with_objects2(self):
+ # Ticket #1299 second test
+ stra = 'aaaa'
+ strb = 'bbbb'
+ numb = sys.getrefcount(strb)
+ numa = sys.getrefcount(stra)
+ x = np.array([[(0, stra), (1, strb)]], 'i8,O')
+ x[x.nonzero()] = x.ravel()[:1]
+ assert_(sys.getrefcount(strb) == numb)
+ assert_(sys.getrefcount(stra) == numa + 2)
+
+ def test_duplicate_title_and_name(self):
+ # Ticket #1254
+ dtspec = [(('a', 'a'), 'i'), ('b', 'i')]
+ assert_raises(ValueError, np.dtype, dtspec)
+
+ def test_signed_integer_division_overflow(self):
+ # Ticket #1317.
+ def test_type(t):
+ min = np.array([np.iinfo(t).min])
+ min //= -1
+
+ with np.errstate(over="ignore"):
+ for t in (np.int8, np.int16, np.int32, np.int64, int):
+ test_type(t)
+
+ def test_buffer_hashlib(self):
+ from hashlib import sha256
+
+ x = np.array([1, 2, 3], dtype=np.dtype('<i4'))
+ assert_equal(sha256(x).hexdigest(), '4636993d3e1da4e9d6b8f87b79e8f7c6d018580d52661950eabc3845c5897a4d')
+
+ def test_0d_string_scalar(self):
+ # Bug #1436; the following should succeed
+ np.asarray('x', '>c')
+
+ def test_log1p_compiler_shenanigans(self):
+ # Check if log1p is behaving on 32 bit intel systems.
+ assert_(np.isfinite(np.log1p(np.exp2(-53))))
+
+ def test_fromiter_comparison(self):
+ a = np.fromiter(list(range(10)), dtype='b')
+ b = np.fromiter(list(range(10)), dtype='B')
+ assert_(np.all(a == np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])))
+ assert_(np.all(b == np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])))
+
+ def test_fromstring_crash(self):
+ # Ticket #1345: the following should not cause a crash
+ with assert_warns(DeprecationWarning):
+ np.fromstring(b'aa, aa, 1.0', sep=',')
+
+ def test_ticket_1539(self):
+ dtypes = [x for x in np.sctypeDict.values()
+ if (issubclass(x, np.number)
+ and not issubclass(x, np.timedelta64))]
+ a = np.array([], np.bool_) # not x[0] because it is unordered
+ failures = []
+
+ for x in dtypes:
+ b = a.astype(x)
+ for y in dtypes:
+ c = a.astype(y)
+ try:
+ d = np.dot(b, c)
+ except TypeError:
+ failures.append((x, y))
+ else:
+ if d != 0:
+ failures.append((x, y))
+ if failures:
+ raise AssertionError("Failures: %r" % failures)
+
+ def test_ticket_1538(self):
+ x = np.finfo(np.float32)
+ for name in 'eps epsneg max min resolution tiny'.split():
+ assert_equal(type(getattr(x, name)), np.float32,
+ err_msg=name)
+
+ def test_ticket_1434(self):
+ # Check that the out= argument in var and std has an effect
+ data = np.array(((1, 2, 3), (4, 5, 6), (7, 8, 9)))
+ out = np.zeros((3,))
+
+ ret = data.var(axis=1, out=out)
+ assert_(ret is out)
+ assert_array_equal(ret, data.var(axis=1))
+
+ ret = data.std(axis=1, out=out)
+ assert_(ret is out)
+ assert_array_equal(ret, data.std(axis=1))
+
+ def test_complex_nan_maximum(self):
+ cnan = complex(0, np.nan)
+ assert_equal(np.maximum(1, cnan), cnan)
+
+ def test_subclass_int_tuple_assignment(self):
+ # ticket #1563
+ class Subclass(np.ndarray):
+ def __new__(cls, i):
+ return np.ones((i,)).view(cls)
+
+ x = Subclass(5)
+ x[(0,)] = 2 # shouldn't raise an exception
+ assert_equal(x[0], 2)
+
+ def test_ufunc_no_unnecessary_views(self):
+ # ticket #1548
+ class Subclass(np.ndarray):
+ pass
+ x = np.array([1, 2, 3]).view(Subclass)
+ y = np.add(x, x, x)
+ assert_equal(id(x), id(y))
+
+ @pytest.mark.skipif(not HAS_REFCOUNT, reason="Python lacks refcounts")
+ def test_take_refcount(self):
+ # ticket #939
+ a = np.arange(16, dtype=float)
+ a.shape = (4, 4)
+ lut = np.ones((5 + 3, 4), float)
+ rgba = np.empty(shape=a.shape + (4,), dtype=lut.dtype)
+ c1 = sys.getrefcount(rgba)
+ try:
+ lut.take(a, axis=0, mode='clip', out=rgba)
+ except TypeError:
+ pass
+ c2 = sys.getrefcount(rgba)
+ assert_equal(c1, c2)
+
+ def test_fromfile_tofile_seeks(self):
+ # On Python 3, tofile/fromfile used to get (#1610) the Python
+ # file handle out of sync
+ f0 = tempfile.NamedTemporaryFile()
+ f = f0.file
+ f.write(np.arange(255, dtype='u1').tobytes())
+
+ f.seek(20)
+ ret = np.fromfile(f, count=4, dtype='u1')
+ assert_equal(ret, np.array([20, 21, 22, 23], dtype='u1'))
+ assert_equal(f.tell(), 24)
+
+ f.seek(40)
+ np.array([1, 2, 3], dtype='u1').tofile(f)
+ assert_equal(f.tell(), 43)
+
+ f.seek(40)
+ data = f.read(3)
+ assert_equal(data, b"\x01\x02\x03")
+
+ f.seek(80)
+ f.read(4)
+ data = np.fromfile(f, dtype='u1', count=4)
+ assert_equal(data, np.array([84, 85, 86, 87], dtype='u1'))
+
+ f.close()
+
+ def test_complex_scalar_warning(self):
+ for tp in [np.csingle, np.cdouble, np.clongdouble]:
+ x = tp(1+2j)
+ assert_warns(np.ComplexWarning, float, x)
+ with suppress_warnings() as sup:
+ sup.filter(np.ComplexWarning)
+ assert_equal(float(x), float(x.real))
+
+ def test_complex_scalar_complex_cast(self):
+ for tp in [np.csingle, np.cdouble, np.clongdouble]:
+ x = tp(1+2j)
+ assert_equal(complex(x), 1+2j)
+
+ def test_complex_boolean_cast(self):
+ # Ticket #2218
+ for tp in [np.csingle, np.cdouble, np.clongdouble]:
+ x = np.array([0, 0+0.5j, 0.5+0j], dtype=tp)
+ assert_equal(x.astype(bool), np.array([0, 1, 1], dtype=bool))
+ assert_(np.any(x))
+ assert_(np.all(x[1:]))
+
+ def test_uint_int_conversion(self):
+ x = 2**64 - 1
+ assert_equal(int(np.uint64(x)), x)
+
+ def test_duplicate_field_names_assign(self):
+ ra = np.fromiter(((i*3, i*2) for i in range(10)), dtype='i8,f8')
+ ra.dtype.names = ('f1', 'f2')
+ repr(ra) # should not cause a segmentation fault
+ assert_raises(ValueError, setattr, ra.dtype, 'names', ('f1', 'f1'))
+
+ def test_eq_string_and_object_array(self):
+ # From e-mail thread "__eq__ with str and object" (Keith Goodman)
+ a1 = np.array(['a', 'b'], dtype=object)
+ a2 = np.array(['a', 'c'])
+ assert_array_equal(a1 == a2, [True, False])
+ assert_array_equal(a2 == a1, [True, False])
+
+ def test_nonzero_byteswap(self):
+ a = np.array([0x80000000, 0x00000080, 0], dtype=np.uint32)
+ a.dtype = np.float32
+ assert_equal(a.nonzero()[0], [1])
+ a = a.byteswap().newbyteorder()
+ assert_equal(a.nonzero()[0], [1]) # [0] if nonzero() ignores swap
+
+ def test_find_common_type_boolean(self):
+ # Ticket #1695
+ with pytest.warns(DeprecationWarning, match="np.find_common_type"):
+ res = np.find_common_type([], ['?', '?'])
+ assert res == '?'
+
+ def test_empty_mul(self):
+ a = np.array([1.])
+ a[1:1] *= 2
+ assert_equal(a, [1.])
+
+ def test_array_side_effect(self):
+ # The second use of itemsize was throwing an exception because in
+ # ctors.c, discover_itemsize was calling PyObject_Length without
+ # checking the return code. This failed to get the length of the
+ # number 2, and the exception hung around until something checked
+ # PyErr_Occurred() and returned an error.
+ assert_equal(np.dtype('S10').itemsize, 10)
+ np.array([['abc', 2], ['long ', '0123456789']], dtype=np.bytes_)
+ assert_equal(np.dtype('S10').itemsize, 10)
+
+ def test_any_float(self):
+ # all and any for floats
+ a = np.array([0.1, 0.9])
+ assert_(np.any(a))
+ assert_(np.all(a))
+
+ def test_large_float_sum(self):
+ a = np.arange(10000, dtype='f')
+ assert_equal(a.sum(dtype='d'), a.astype('d').sum())
+
+ def test_ufunc_casting_out(self):
+ a = np.array(1.0, dtype=np.float32)
+ b = np.array(1.0, dtype=np.float64)
+ c = np.array(1.0, dtype=np.float32)
+ np.add(a, b, out=c)
+ assert_equal(c, 2.0)
+
+ def test_array_scalar_contiguous(self):
+ # Array scalars are both C and Fortran contiguous
+ assert_(np.array(1.0).flags.c_contiguous)
+ assert_(np.array(1.0).flags.f_contiguous)
+ assert_(np.array(np.float32(1.0)).flags.c_contiguous)
+ assert_(np.array(np.float32(1.0)).flags.f_contiguous)
+
+ def test_squeeze_contiguous(self):
+ # Similar to GitHub issue #387
+ a = np.zeros((1, 2)).squeeze()
+ b = np.zeros((2, 2, 2), order='F')[:, :, ::2].squeeze()
+ assert_(a.flags.c_contiguous)
+ assert_(a.flags.f_contiguous)
+ assert_(b.flags.f_contiguous)
+
+ def test_squeeze_axis_handling(self):
+ # Issue #10779
+ # Ensure proper handling of objects
+ # that don't support axis specification
+ # when squeezing
+
+ class OldSqueeze(np.ndarray):
+
+ def __new__(cls,
+ input_array):
+ obj = np.asarray(input_array).view(cls)
+ return obj
+
+ # it is perfectly reasonable that prior
+ # to numpy version 1.7.0 a subclass of ndarray
+ # might have been created that did not expect
+ # squeeze to have an axis argument
+ # NOTE: this example is somewhat artificial;
+ # it is designed to simulate an old API
+ # expectation to guard against regression
+ def squeeze(self):
+ return super().squeeze()
+
+ oldsqueeze = OldSqueeze(np.array([[1],[2],[3]]))
+
+ # if no axis argument is specified the old API
+ # expectation should give the correct result
+ assert_equal(np.squeeze(oldsqueeze),
+ np.array([1,2,3]))
+
+ # likewise, axis=None should work perfectly well
+ # with the old API expectation
+ assert_equal(np.squeeze(oldsqueeze, axis=None),
+ np.array([1,2,3]))
+
+ # however, specification of any particular axis
+ # should raise a TypeError in the context of the
+ # old API specification, even when using a valid
+ # axis specification like 1 for this array
+ with assert_raises(TypeError):
+ # this would silently succeed for array
+ # subclasses / objects that did not support
+ # squeeze axis argument handling before fixing
+ # Issue #10779
+ np.squeeze(oldsqueeze, axis=1)
+
+ # check for the same behavior when using an invalid
+ # axis specification -- in this case axis=0 does not
+ # have size 1, but the priority should be to raise
+ # a TypeError for the axis argument and NOT a
+ # ValueError for squeezing a non-empty dimension
+ with assert_raises(TypeError):
+ np.squeeze(oldsqueeze, axis=0)
+
+ # the new API knows how to handle the axis
+ # argument and will return a ValueError if
+ # attempting to squeeze an axis that is not
+ # of length 1
+ with assert_raises(ValueError):
+ np.squeeze(np.array([[1],[2],[3]]), axis=0)
+
+ def test_reduce_contiguous(self):
+ # GitHub issue #387
+ a = np.add.reduce(np.zeros((2, 1, 2)), (0, 1))
+ b = np.add.reduce(np.zeros((2, 1, 2)), 1)
+ assert_(a.flags.c_contiguous)
+ assert_(a.flags.f_contiguous)
+ assert_(b.flags.c_contiguous)
+
+ @pytest.mark.skipif(IS_PYSTON, reason="Pyston disables recursion checking")
+ def test_object_array_self_reference(self):
+ # Object arrays with references to themselves can cause problems
+ a = np.array(0, dtype=object)
+ a[()] = a
+ assert_raises(RecursionError, int, a)
+ assert_raises(RecursionError, float, a)
+ a[()] = None
+
+ @pytest.mark.skipif(IS_PYSTON, reason="Pyston disables recursion checking")
+ def test_object_array_circular_reference(self):
+ # Test the same for a circular reference.
+ a = np.array(0, dtype=object)
+ b = np.array(0, dtype=object)
+ a[()] = b
+ b[()] = a
+ assert_raises(RecursionError, int, a)
+ # NumPy has no tp_traverse currently, so circular references
+ # cannot be detected. So resolve it:
+ a[()] = None
+
+ # This was causing a to become like the above
+ a = np.array(0, dtype=object)
+ a[...] += 1
+ assert_equal(a, 1)
+
+ def test_object_array_nested(self):
+ # but is fine with a reference to a different array
+ a = np.array(0, dtype=object)
+ b = np.array(0, dtype=object)
+ a[()] = b
+ assert_equal(int(a), int(0))
+ assert_equal(float(a), float(0))
+
+ def test_object_array_self_copy(self):
+ # An object array being copied into itself DECREF'ed before INCREF'ing
+ # causing segmentation faults (gh-3787)
+ a = np.array(object(), dtype=object)
+ np.copyto(a, a)
+ if HAS_REFCOUNT:
+ assert_(sys.getrefcount(a[()]) == 2)
+ a[()].__class__ # will segfault if object was deleted
+
+ def test_zerosize_accumulate(self):
+ "Ticket #1733"
+ x = np.array([[42, 0]], dtype=np.uint32)
+ assert_equal(np.add.accumulate(x[:-1, 0]), [])
+
+ def test_objectarray_setfield(self):
+ # Setfield should not overwrite Object fields with non-Object data
+ x = np.array([1, 2, 3], dtype=object)
+ assert_raises(TypeError, x.setfield, 4, np.int32, 0)
+
+ def test_setting_rank0_string(self):
+ "Ticket #1736"
+ s1 = b"hello1"
+ s2 = b"hello2"
+ a = np.zeros((), dtype="S10")
+ a[()] = s1
+ assert_equal(a, np.array(s1))
+ a[()] = np.array(s2)
+ assert_equal(a, np.array(s2))
+
+ a = np.zeros((), dtype='f4')
+ a[()] = 3
+ assert_equal(a, np.array(3))
+ a[()] = np.array(4)
+ assert_equal(a, np.array(4))
+
+ def test_string_astype(self):
+ "Ticket #1748"
+ s1 = b'black'
+ s2 = b'white'
+ s3 = b'other'
+ a = np.array([[s1], [s2], [s3]])
+ assert_equal(a.dtype, np.dtype('S5'))
+ b = a.astype(np.dtype('S0'))
+ assert_equal(b.dtype, np.dtype('S5'))
+
+ def test_ticket_1756(self):
+ # Ticket #1756
+ s = b'0123456789abcdef'
+ a = np.array([s]*5)
+ for i in range(1, 17):
+ a1 = np.array(a, "|S%d" % i)
+ a2 = np.array([s[:i]]*5)
+ assert_equal(a1, a2)
+
+ def test_fields_strides(self):
+ "gh-2355"
+ r = np.frombuffer(b'abcdefghijklmnop'*4*3, dtype='i4,(2,3)u2')
+ assert_equal(r[0:3:2]['f1'], r['f1'][0:3:2])
+ assert_equal(r[0:3:2]['f1'][0], r[0:3:2][0]['f1'])
+ assert_equal(r[0:3:2]['f1'][0][()], r[0:3:2][0]['f1'][()])
+ assert_equal(r[0:3:2]['f1'][0].strides, r[0:3:2][0]['f1'].strides)
+
+ def test_alignment_update(self):
+ # Check that alignment flag is updated on stride setting
+ a = np.arange(10)
+ assert_(a.flags.aligned)
+ a.strides = 3
+ assert_(not a.flags.aligned)
+
+ def test_ticket_1770(self):
+ "Should not segfault on python 3k"
+ import numpy as np
+ try:
+ a = np.zeros((1,), dtype=[('f1', 'f')])
+ a['f1'] = 1
+ a['f2'] = 1
+ except ValueError:
+ pass
+ except Exception:
+ raise AssertionError
+
+ def test_ticket_1608(self):
+ "x.flat shouldn't modify data"
+ x = np.array([[1, 2], [3, 4]]).T
+ np.array(x.flat)
+ assert_equal(x, [[1, 3], [2, 4]])
+
+ def test_pickle_string_overwrite(self):
+ import re
+
+ data = np.array([1], dtype='b')
+ blob = pickle.dumps(data, protocol=1)
+ data = pickle.loads(blob)
+
+ # Check that loads does not clobber interned strings
+ s = re.sub("a(.)", "\x01\\1", "a_")
+ assert_equal(s[0], "\x01")
+ data[0] = 0x6a
+ s = re.sub("a(.)", "\x01\\1", "a_")
+ assert_equal(s[0], "\x01")
+
+ def test_pickle_bytes_overwrite(self):
+ for proto in range(2, pickle.HIGHEST_PROTOCOL + 1):
+ data = np.array([1], dtype='b')
+ data = pickle.loads(pickle.dumps(data, protocol=proto))
+ data[0] = 0x7d
+ bytestring = "\x01 ".encode('ascii')
+ assert_equal(bytestring[0:1], '\x01'.encode('ascii'))
+
+ def test_pickle_py2_array_latin1_hack(self):
+ # Check that unpickling hacks in Py3 that support
+ # encoding='latin1' work correctly.
+
+ # Python2 output for pickle.dumps(numpy.array([129], dtype='b'))
+ data = (b"cnumpy.core.multiarray\n_reconstruct\np0\n(cnumpy\nndarray\np1\n(I0\n"
+ b"tp2\nS'b'\np3\ntp4\nRp5\n(I1\n(I1\ntp6\ncnumpy\ndtype\np7\n(S'i1'\np8\n"
+ b"I0\nI1\ntp9\nRp10\n(I3\nS'|'\np11\nNNNI-1\nI-1\nI0\ntp12\nbI00\nS'\\x81'\n"
+ b"p13\ntp14\nb.")
+ # This should work:
+ result = pickle.loads(data, encoding='latin1')
+ assert_array_equal(result, np.array([129]).astype('b'))
+ # Should not segfault:
+ assert_raises(Exception, pickle.loads, data, encoding='koi8-r')
+
+ def test_pickle_py2_scalar_latin1_hack(self):
+ # Check that scalar unpickling hack in Py3 that supports
+ # encoding='latin1' work correctly.
+
+ # Python2 output for pickle.dumps(...)
+ datas = [
+ # (original, python2_pickle, koi8r_validity)
+ (np.str_('\u6bd2'),
+ (b"cnumpy.core.multiarray\nscalar\np0\n(cnumpy\ndtype\np1\n"
+ b"(S'U1'\np2\nI0\nI1\ntp3\nRp4\n(I3\nS'<'\np5\nNNNI4\nI4\nI0\n"
+ b"tp6\nbS'\\xd2k\\x00\\x00'\np7\ntp8\nRp9\n."),
+ 'invalid'),
+
+ (np.float64(9e123),
+ (b"cnumpy.core.multiarray\nscalar\np0\n(cnumpy\ndtype\np1\n(S'f8'\n"
+ b"p2\nI0\nI1\ntp3\nRp4\n(I3\nS'<'\np5\nNNNI-1\nI-1\nI0\ntp6\n"
+ b"bS'O\\x81\\xb7Z\\xaa:\\xabY'\np7\ntp8\nRp9\n."),
+ 'invalid'),
+
+ (np.bytes_(b'\x9c'), # different 8-bit code point in KOI8-R vs latin1
+ (b"cnumpy.core.multiarray\nscalar\np0\n(cnumpy\ndtype\np1\n(S'S1'\np2\n"
+ b"I0\nI1\ntp3\nRp4\n(I3\nS'|'\np5\nNNNI1\nI1\nI0\ntp6\nbS'\\x9c'\np7\n"
+ b"tp8\nRp9\n."),
+ 'different'),
+ ]
+ for original, data, koi8r_validity in datas:
+ result = pickle.loads(data, encoding='latin1')
+ assert_equal(result, original)
+
+ # Decoding under non-latin1 encoding (e.g.) KOI8-R can
+ # produce bad results, but should not segfault.
+ if koi8r_validity == 'different':
+ # Unicode code points happen to lie within latin1,
+ # but are different in koi8-r, resulting to silent
+ # bogus results
+ result = pickle.loads(data, encoding='koi8-r')
+ assert_(result != original)
+ elif koi8r_validity == 'invalid':
+ # Unicode code points outside latin1, so results
+ # to an encoding exception
+ assert_raises(ValueError, pickle.loads, data, encoding='koi8-r')
+ else:
+ raise ValueError(koi8r_validity)
+
+ def test_structured_type_to_object(self):
+ a_rec = np.array([(0, 1), (3, 2)], dtype='i4,i8')
+ a_obj = np.empty((2,), dtype=object)
+ a_obj[0] = (0, 1)
+ a_obj[1] = (3, 2)
+ # astype records -> object
+ assert_equal(a_rec.astype(object), a_obj)
+ # '=' records -> object
+ b = np.empty_like(a_obj)
+ b[...] = a_rec
+ assert_equal(b, a_obj)
+ # '=' object -> records
+ b = np.empty_like(a_rec)
+ b[...] = a_obj
+ assert_equal(b, a_rec)
+
+ def test_assign_obj_listoflists(self):
+ # Ticket # 1870
+ # The inner list should get assigned to the object elements
+ a = np.zeros(4, dtype=object)
+ b = a.copy()
+ a[0] = [1]
+ a[1] = [2]
+ a[2] = [3]
+ a[3] = [4]
+ b[...] = [[1], [2], [3], [4]]
+ assert_equal(a, b)
+ # The first dimension should get broadcast
+ a = np.zeros((2, 2), dtype=object)
+ a[...] = [[1, 2]]
+ assert_equal(a, [[1, 2], [1, 2]])
+
+ @pytest.mark.slow_pypy
+ def test_memoryleak(self):
+ # Ticket #1917 - ensure that array data doesn't leak
+ for i in range(1000):
+ # 100MB times 1000 would give 100GB of memory usage if it leaks
+ a = np.empty((100000000,), dtype='i1')
+ del a
+
+ @pytest.mark.skipif(not HAS_REFCOUNT, reason="Python lacks refcounts")
+ def test_ufunc_reduce_memoryleak(self):
+ a = np.arange(6)
+ acnt = sys.getrefcount(a)
+ np.add.reduce(a)
+ assert_equal(sys.getrefcount(a), acnt)
+
+ def test_search_sorted_invalid_arguments(self):
+ # Ticket #2021, should not segfault.
+ x = np.arange(0, 4, dtype='datetime64[D]')
+ assert_raises(TypeError, x.searchsorted, 1)
+
+ def test_string_truncation(self):
+ # Ticket #1990 - Data can be truncated in creation of an array from a
+ # mixed sequence of numeric values and strings (gh-2583)
+ for val in [True, 1234, 123.4, complex(1, 234)]:
+ for tostr, dtype in [(asunicode, "U"), (asbytes, "S")]:
+ b = np.array([val, tostr('xx')], dtype=dtype)
+ assert_equal(tostr(b[0]), tostr(val))
+ b = np.array([tostr('xx'), val], dtype=dtype)
+ assert_equal(tostr(b[1]), tostr(val))
+
+ # test also with longer strings
+ b = np.array([val, tostr('xxxxxxxxxx')], dtype=dtype)
+ assert_equal(tostr(b[0]), tostr(val))
+ b = np.array([tostr('xxxxxxxxxx'), val], dtype=dtype)
+ assert_equal(tostr(b[1]), tostr(val))
+
+ def test_string_truncation_ucs2(self):
+ # Ticket #2081. Python compiled with two byte unicode
+ # can lead to truncation if itemsize is not properly
+ # adjusted for NumPy's four byte unicode.
+ a = np.array(['abcd'])
+ assert_equal(a.dtype.itemsize, 16)
+
+ def test_unique_stable(self):
+ # Ticket #2063 must always choose stable sort for argsort to
+ # get consistent results
+ v = np.array(([0]*5 + [1]*6 + [2]*6)*4)
+ res = np.unique(v, return_index=True)
+ tgt = (np.array([0, 1, 2]), np.array([ 0, 5, 11]))
+ assert_equal(res, tgt)
+
+ def test_unicode_alloc_dealloc_match(self):
+ # Ticket #1578, the mismatch only showed up when running
+ # python-debug for python versions >= 2.7, and then as
+ # a core dump and error message.
+ a = np.array(['abc'], dtype=np.str_)[0]
+ del a
+
+ def test_refcount_error_in_clip(self):
+ # Ticket #1588
+ a = np.zeros((2,), dtype='>i2').clip(min=0)
+ x = a + a
+ # This used to segfault:
+ y = str(x)
+ # Check the final string:
+ assert_(y == "[0 0]")
+
+ def test_searchsorted_wrong_dtype(self):
+ # Ticket #2189, it used to segfault, so we check that it raises the
+ # proper exception.
+ a = np.array([('a', 1)], dtype='S1, int')
+ assert_raises(TypeError, np.searchsorted, a, 1.2)
+ # Ticket #2066, similar problem:
+ dtype = np.format_parser(['i4', 'i4'], [], [])
+ a = np.recarray((2,), dtype)
+ a[...] = [(1, 2), (3, 4)]
+ assert_raises(TypeError, np.searchsorted, a, 1)
+
+ def test_complex64_alignment(self):
+ # Issue gh-2668 (trac 2076), segfault on sparc due to misalignment
+ dtt = np.complex64
+ arr = np.arange(10, dtype=dtt)
+ # 2D array
+ arr2 = np.reshape(arr, (2, 5))
+ # Fortran write followed by (C or F) read caused bus error
+ data_str = arr2.tobytes('F')
+ data_back = np.ndarray(arr2.shape,
+ arr2.dtype,
+ buffer=data_str,
+ order='F')
+ assert_array_equal(arr2, data_back)
+
+ def test_structured_count_nonzero(self):
+ arr = np.array([0, 1]).astype('i4, (2)i4')[:1]
+ count = np.count_nonzero(arr)
+ assert_equal(count, 0)
+
+ def test_copymodule_preserves_f_contiguity(self):
+ a = np.empty((2, 2), order='F')
+ b = copy.copy(a)
+ c = copy.deepcopy(a)
+ assert_(b.flags.fortran)
+ assert_(b.flags.f_contiguous)
+ assert_(c.flags.fortran)
+ assert_(c.flags.f_contiguous)
+
+ def test_fortran_order_buffer(self):
+ import numpy as np
+ a = np.array([['Hello', 'Foob']], dtype='U5', order='F')
+ arr = np.ndarray(shape=[1, 2, 5], dtype='U1', buffer=a)
+ arr2 = np.array([[['H', 'e', 'l', 'l', 'o'],
+ ['F', 'o', 'o', 'b', '']]])
+ assert_array_equal(arr, arr2)
+
+ def test_assign_from_sequence_error(self):
+ # Ticket #4024.
+ arr = np.array([1, 2, 3])
+ assert_raises(ValueError, arr.__setitem__, slice(None), [9, 9])
+ arr.__setitem__(slice(None), [9])
+ assert_equal(arr, [9, 9, 9])
+
+ def test_format_on_flex_array_element(self):
+ # Ticket #4369.
+ dt = np.dtype([('date', '<M8[D]'), ('val', '<f8')])
+ arr = np.array([('2000-01-01', 1)], dt)
+ formatted = '{0}'.format(arr[0])
+ assert_equal(formatted, str(arr[0]))
+
+ def test_deepcopy_on_0d_array(self):
+ # Ticket #3311.
+ arr = np.array(3)
+ arr_cp = copy.deepcopy(arr)
+
+ assert_equal(arr, arr_cp)
+ assert_equal(arr.shape, arr_cp.shape)
+ assert_equal(int(arr), int(arr_cp))
+ assert_(arr is not arr_cp)
+ assert_(isinstance(arr_cp, type(arr)))
+
+ def test_deepcopy_F_order_object_array(self):
+ # Ticket #6456.
+ a = {'a': 1}
+ b = {'b': 2}
+ arr = np.array([[a, b], [a, b]], order='F')
+ arr_cp = copy.deepcopy(arr)
+
+ assert_equal(arr, arr_cp)
+ assert_(arr is not arr_cp)
+ # Ensure that we have actually copied the item.
+ assert_(arr[0, 1] is not arr_cp[1, 1])
+ # Ensure we are allowed to have references to the same object.
+ assert_(arr[0, 1] is arr[1, 1])
+ # Check the references hold for the copied objects.
+ assert_(arr_cp[0, 1] is arr_cp[1, 1])
+
+ def test_deepcopy_empty_object_array(self):
+ # Ticket #8536.
+ # Deepcopy should succeed
+ a = np.array([], dtype=object)
+ b = copy.deepcopy(a)
+ assert_(a.shape == b.shape)
+
+ def test_bool_subscript_crash(self):
+ # gh-4494
+ c = np.rec.array([(1, 2, 3), (4, 5, 6)])
+ masked = c[np.array([True, False])]
+ base = masked.base
+ del masked, c
+ base.dtype
+
+ def test_richcompare_crash(self):
+ # gh-4613
+ import operator as op
+
+ # dummy class where __array__ throws exception
+ class Foo:
+ __array_priority__ = 1002
+
+ def __array__(self, *args, **kwargs):
+ raise Exception()
+
+ rhs = Foo()
+ lhs = np.array(1)
+ for f in [op.lt, op.le, op.gt, op.ge]:
+ assert_raises(TypeError, f, lhs, rhs)
+ assert_(not op.eq(lhs, rhs))
+ assert_(op.ne(lhs, rhs))
+
+ def test_richcompare_scalar_and_subclass(self):
+ # gh-4709
+ class Foo(np.ndarray):
+ def __eq__(self, other):
+ return "OK"
+
+ x = np.array([1, 2, 3]).view(Foo)
+ assert_equal(10 == x, "OK")
+ assert_equal(np.int32(10) == x, "OK")
+ assert_equal(np.array([10]) == x, "OK")
+
+ def test_pickle_empty_string(self):
+ # gh-3926
+ for proto in range(2, pickle.HIGHEST_PROTOCOL + 1):
+ test_string = np.bytes_('')
+ assert_equal(pickle.loads(
+ pickle.dumps(test_string, protocol=proto)), test_string)
+
+ def test_frompyfunc_many_args(self):
+ # gh-5672
+
+ def passer(*args):
+ pass
+
+ assert_raises(ValueError, np.frompyfunc, passer, 32, 1)
+
+ def test_repeat_broadcasting(self):
+ # gh-5743
+ a = np.arange(60).reshape(3, 4, 5)
+ for axis in chain(range(-a.ndim, a.ndim), [None]):
+ assert_equal(a.repeat(2, axis=axis), a.repeat([2], axis=axis))
+
+ def test_frompyfunc_nout_0(self):
+ # gh-2014
+
+ def f(x):
+ x[0], x[-1] = x[-1], x[0]
+
+ uf = np.frompyfunc(f, 1, 0)
+ a = np.array([[1, 2, 3], [4, 5], [6, 7, 8, 9]], dtype=object)
+ assert_equal(uf(a), ())
+ expected = np.array([[3, 2, 1], [5, 4], [9, 7, 8, 6]], dtype=object)
+ assert_array_equal(a, expected)
+
+ @pytest.mark.skipif(not HAS_REFCOUNT, reason="Python lacks refcounts")
+ def test_leak_in_structured_dtype_comparison(self):
+ # gh-6250
+ recordtype = np.dtype([('a', np.float64),
+ ('b', np.int32),
+ ('d', (str, 5))])
+
+ # Simple case
+ a = np.zeros(2, dtype=recordtype)
+ for i in range(100):
+ a == a
+ assert_(sys.getrefcount(a) < 10)
+
+ # The case in the bug report.
+ before = sys.getrefcount(a)
+ u, v = a[0], a[1]
+ u == v
+ del u, v
+ gc.collect()
+ after = sys.getrefcount(a)
+ assert_equal(before, after)
+
+ def test_empty_percentile(self):
+ # gh-6530 / gh-6553
+ assert_array_equal(np.percentile(np.arange(10), []), np.array([]))
+
+ def test_void_compare_segfault(self):
+ # gh-6922. The following should not segfault
+ a = np.ones(3, dtype=[('object', 'O'), ('int', '<i2')])
+ a.sort()
+
+ def test_reshape_size_overflow(self):
+ # gh-7455
+ a = np.ones(20)[::2]
+ if np.dtype(np.intp).itemsize == 8:
+ # 64 bit. The following are the prime factors of 2**63 + 5,
+ # plus a leading 2, so when multiplied together as int64,
+ # the result overflows to a total size of 10.
+ new_shape = (2, 13, 419, 691, 823, 2977518503)
+ else:
+ # 32 bit. The following are the prime factors of 2**31 + 5,
+ # plus a leading 2, so when multiplied together as int32,
+ # the result overflows to a total size of 10.
+ new_shape = (2, 7, 7, 43826197)
+ assert_raises(ValueError, a.reshape, new_shape)
+
+ @pytest.mark.skipif(IS_PYPY and sys.implementation.version <= (7, 3, 8),
+ reason="PyPy bug in error formatting")
+ def test_invalid_structured_dtypes(self):
+ # gh-2865
+ # mapping python objects to other dtypes
+ assert_raises(ValueError, np.dtype, ('O', [('name', 'i8')]))
+ assert_raises(ValueError, np.dtype, ('i8', [('name', 'O')]))
+ assert_raises(ValueError, np.dtype,
+ ('i8', [('name', [('name', 'O')])]))
+ assert_raises(ValueError, np.dtype, ([('a', 'i4'), ('b', 'i4')], 'O'))
+ assert_raises(ValueError, np.dtype, ('i8', 'O'))
+ # wrong number/type of tuple elements in dict
+ assert_raises(ValueError, np.dtype,
+ ('i', {'name': ('i', 0, 'title', 'oops')}))
+ assert_raises(ValueError, np.dtype,
+ ('i', {'name': ('i', 'wrongtype', 'title')}))
+ # disallowed as of 1.13
+ assert_raises(ValueError, np.dtype,
+ ([('a', 'O'), ('b', 'O')], [('c', 'O'), ('d', 'O')]))
+ # allowed as a special case due to existing use, see gh-2798
+ a = np.ones(1, dtype=('O', [('name', 'O')]))
+ assert_equal(a[0], 1)
+ # In particular, the above union dtype (and union dtypes in general)
+ # should mainly behave like the main (object) dtype:
+ assert a[0] is a.item()
+ assert type(a[0]) is int
+
+ def test_correct_hash_dict(self):
+ # gh-8887 - __hash__ would be None despite tp_hash being set
+ all_types = set(np.sctypeDict.values()) - {np.void}
+ for t in all_types:
+ val = t()
+
+ try:
+ hash(val)
+ except TypeError as e:
+ assert_equal(t.__hash__, None)
+ else:
+ assert_(t.__hash__ != None)
+
+ def test_scalar_copy(self):
+ scalar_types = set(np.sctypeDict.values())
+ values = {
+ np.void: b"a",
+ np.bytes_: b"a",
+ np.str_: "a",
+ np.datetime64: "2017-08-25",
+ }
+ for sctype in scalar_types:
+ item = sctype(values.get(sctype, 1))
+ item2 = copy.copy(item)
+ assert_equal(item, item2)
+
+ def test_void_item_memview(self):
+ va = np.zeros(10, 'V4')
+ x = va[:1].item()
+ va[0] = b'\xff\xff\xff\xff'
+ del va
+ assert_equal(x, b'\x00\x00\x00\x00')
+
+ def test_void_getitem(self):
+ # Test fix for gh-11668.
+ assert_(np.array([b'a'], 'V1').astype('O') == b'a')
+ assert_(np.array([b'ab'], 'V2').astype('O') == b'ab')
+ assert_(np.array([b'abc'], 'V3').astype('O') == b'abc')
+ assert_(np.array([b'abcd'], 'V4').astype('O') == b'abcd')
+
+ def test_structarray_title(self):
+ # The following used to segfault on pypy, due to NPY_TITLE_KEY
+ # not working properly and resulting to double-decref of the
+ # structured array field items:
+ # See: https://bitbucket.org/pypy/pypy/issues/2789
+ for j in range(5):
+ structure = np.array([1], dtype=[(('x', 'X'), np.object_)])
+ structure[0]['x'] = np.array([2])
+ gc.collect()
+
+ def test_dtype_scalar_squeeze(self):
+ # gh-11384
+ values = {
+ 'S': b"a",
+ 'M': "2018-06-20",
+ }
+ for ch in np.typecodes['All']:
+ if ch in 'O':
+ continue
+ sctype = np.dtype(ch).type
+ scvalue = sctype(values.get(ch, 3))
+ for axis in [None, ()]:
+ squeezed = scvalue.squeeze(axis=axis)
+ assert_equal(squeezed, scvalue)
+ assert_equal(type(squeezed), type(scvalue))
+
+ def test_field_access_by_title(self):
+ # gh-11507
+ s = 'Some long field name'
+ if HAS_REFCOUNT:
+ base = sys.getrefcount(s)
+ t = np.dtype([((s, 'f1'), np.float64)])
+ data = np.zeros(10, t)
+ for i in range(10):
+ str(data[['f1']])
+ if HAS_REFCOUNT:
+ assert_(base <= sys.getrefcount(s))
+
+ @pytest.mark.parametrize('val', [
+ # arrays and scalars
+ np.ones((10, 10), dtype='int32'),
+ np.uint64(10),
+ ])
+ @pytest.mark.parametrize('protocol',
+ range(2, pickle.HIGHEST_PROTOCOL + 1)
+ )
+ def test_pickle_module(self, protocol, val):
+ # gh-12837
+ s = pickle.dumps(val, protocol)
+ assert b'_multiarray_umath' not in s
+ if protocol == 5 and len(val.shape) > 0:
+ # unpickling ndarray goes through _frombuffer for protocol 5
+ assert b'numpy.core.numeric' in s
+ else:
+ assert b'numpy.core.multiarray' in s
+
+ def test_object_casting_errors(self):
+ # gh-11993 update to ValueError (see gh-16909), since strings can in
+ # principle be converted to complex, but this string cannot.
+ arr = np.array(['AAAAA', 18465886.0, 18465886.0], dtype=object)
+ assert_raises(ValueError, arr.astype, 'c8')
+
+ def test_eff1d_casting(self):
+ # gh-12711
+ x = np.array([1, 2, 4, 7, 0], dtype=np.int16)
+ res = np.ediff1d(x, to_begin=-99, to_end=np.array([88, 99]))
+ assert_equal(res, [-99, 1, 2, 3, -7, 88, 99])
+
+ # The use of safe casting means, that 1<<20 is cast unsafely, an
+ # error may be better, but currently there is no mechanism for it.
+ res = np.ediff1d(x, to_begin=(1<<20), to_end=(1<<20))
+ assert_equal(res, [0, 1, 2, 3, -7, 0])
+
+ def test_pickle_datetime64_array(self):
+ # gh-12745 (would fail with pickle5 installed)
+ d = np.datetime64('2015-07-04 12:59:59.50', 'ns')
+ arr = np.array([d])
+ for proto in range(2, pickle.HIGHEST_PROTOCOL + 1):
+ dumped = pickle.dumps(arr, protocol=proto)
+ assert_equal(pickle.loads(dumped), arr)
+
+ def test_bad_array_interface(self):
+ class T:
+ __array_interface__ = {}
+
+ with assert_raises(ValueError):
+ np.array([T()])
+
+ def test_2d__array__shape(self):
+ class T:
+ def __array__(self):
+ return np.ndarray(shape=(0,0))
+
+ # Make sure __array__ is used instead of Sequence methods.
+ def __iter__(self):
+ return iter([])
+
+ def __getitem__(self, idx):
+ raise AssertionError("__getitem__ was called")
+
+ def __len__(self):
+ return 0
+
+
+ t = T()
+ # gh-13659, would raise in broadcasting [x=t for x in result]
+ arr = np.array([t])
+ assert arr.shape == (1, 0, 0)
+
+ @pytest.mark.skipif(sys.maxsize < 2 ** 31 + 1, reason='overflows 32-bit python')
+ def test_to_ctypes(self):
+ #gh-14214
+ arr = np.zeros((2 ** 31 + 1,), 'b')
+ assert arr.size * arr.itemsize > 2 ** 31
+ c_arr = np.ctypeslib.as_ctypes(arr)
+ assert_equal(c_arr._length_, arr.size)
+
+ def test_complex_conversion_error(self):
+ # gh-17068
+ with pytest.raises(TypeError, match=r"Unable to convert dtype.*"):
+ complex(np.array("now", np.datetime64))
+
+ def test__array_interface__descr(self):
+ # gh-17068
+ dt = np.dtype(dict(names=['a', 'b'],
+ offsets=[0, 0],
+ formats=[np.int64, np.int64]))
+ descr = np.array((1, 1), dtype=dt).__array_interface__['descr']
+ assert descr == [('', '|V8')] # instead of [(b'', '|V8')]
+
+ @pytest.mark.skipif(sys.maxsize < 2 ** 31 + 1, reason='overflows 32-bit python')
+ @requires_memory(free_bytes=9e9)
+ def test_dot_big_stride(self):
+ # gh-17111
+ # blas stride = stride//itemsize > int32 max
+ int32_max = np.iinfo(np.int32).max
+ n = int32_max + 3
+ a = np.empty([n], dtype=np.float32)
+ b = a[::n-1]
+ b[...] = 1
+ assert b.strides[0] > int32_max * b.dtype.itemsize
+ assert np.dot(b, b) == 2.0
+
+ def test_frompyfunc_name(self):
+ # name conversion was failing for python 3 strings
+ # resulting in the default '?' name. Also test utf-8
+ # encoding using non-ascii name.
+ def cassé(x):
+ return x
+
+ f = np.frompyfunc(cassé, 1, 1)
+ assert str(f) == "<ufunc 'cassé (vectorized)'>"
+
+ @pytest.mark.parametrize("operation", [
+ 'add', 'subtract', 'multiply', 'floor_divide',
+ 'conjugate', 'fmod', 'square', 'reciprocal',
+ 'power', 'absolute', 'negative', 'positive',
+ 'greater', 'greater_equal', 'less',
+ 'less_equal', 'equal', 'not_equal', 'logical_and',
+ 'logical_not', 'logical_or', 'bitwise_and', 'bitwise_or',
+ 'bitwise_xor', 'invert', 'left_shift', 'right_shift',
+ 'gcd', 'lcm'
+ ]
+ )
+ @pytest.mark.parametrize("order", [
+ ('b->', 'B->'),
+ ('h->', 'H->'),
+ ('i->', 'I->'),
+ ('l->', 'L->'),
+ ('q->', 'Q->'),
+ ]
+ )
+ def test_ufunc_order(self, operation, order):
+ # gh-18075
+ # Ensure signed types before unsigned
+ def get_idx(string, str_lst):
+ for i, s in enumerate(str_lst):
+ if string in s:
+ return i
+ raise ValueError(f"{string} not in list")
+ types = getattr(np, operation).types
+ assert get_idx(order[0], types) < get_idx(order[1], types), (
+ f"Unexpected types order of ufunc in {operation}"
+ f"for {order}. Possible fix: Use signed before unsigned"
+ "in generate_umath.py")
+
+ def test_nonbool_logical(self):
+ # gh-22845
+ # create two arrays with bit patterns that do not overlap.
+ # needs to be large enough to test both SIMD and scalar paths
+ size = 100
+ a = np.frombuffer(b'\x01' * size, dtype=np.bool_)
+ b = np.frombuffer(b'\x80' * size, dtype=np.bool_)
+ expected = np.ones(size, dtype=np.bool_)
+ assert_array_equal(np.logical_and(a, b), expected)
+
generated by cgit v1.2.3 (git 2.47.1) at 2025-07-26 21:10:06 +0000