"""
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Test the scalar constructors, which also do type-coercion
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"""
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import pytest
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import numpy as np
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from numpy.testing import (
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assert_equal, assert_almost_equal, assert_warns,
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)
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class TestFromString:
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def test_floating(self):
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# Ticket #640, floats from string
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fsingle = np.single('1.234')
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fdouble = np.double('1.234')
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flongdouble = np.longdouble('1.234')
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assert_almost_equal(fsingle, 1.234)
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assert_almost_equal(fdouble, 1.234)
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assert_almost_equal(flongdouble, 1.234)
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def test_floating_overflow(self):
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""" Strings containing an unrepresentable float overflow """
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fhalf = np.half('1e10000')
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assert_equal(fhalf, np.inf)
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fsingle = np.single('1e10000')
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assert_equal(fsingle, np.inf)
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fdouble = np.double('1e10000')
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assert_equal(fdouble, np.inf)
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flongdouble = assert_warns(RuntimeWarning, np.longdouble, '1e10000')
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assert_equal(flongdouble, np.inf)
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fhalf = np.half('-1e10000')
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assert_equal(fhalf, -np.inf)
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fsingle = np.single('-1e10000')
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assert_equal(fsingle, -np.inf)
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fdouble = np.double('-1e10000')
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assert_equal(fdouble, -np.inf)
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flongdouble = assert_warns(RuntimeWarning, np.longdouble, '-1e10000')
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assert_equal(flongdouble, -np.inf)
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class TestExtraArgs:
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def test_superclass(self):
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# try both positional and keyword arguments
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s = np.str_(b'\\x61', encoding='unicode-escape')
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assert s == 'a'
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s = np.str_(b'\\x61', 'unicode-escape')
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assert s == 'a'
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# previously this would return '\\xx'
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with pytest.raises(UnicodeDecodeError):
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np.str_(b'\\xx', encoding='unicode-escape')
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with pytest.raises(UnicodeDecodeError):
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np.str_(b'\\xx', 'unicode-escape')
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# superclass fails, but numpy succeeds
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assert np.bytes_(-2) == b'-2'
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def test_datetime(self):
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dt = np.datetime64('2000-01', ('M', 2))
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assert np.datetime_data(dt) == ('M', 2)
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with pytest.raises(TypeError):
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np.datetime64('2000', garbage=True)
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def test_bool(self):
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with pytest.raises(TypeError):
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np.bool_(False, garbage=True)
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def test_void(self):
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with pytest.raises(TypeError):
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np.void(b'test', garbage=True)
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class TestFromInt:
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def test_intp(self):
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# Ticket #99
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assert_equal(1024, np.intp(1024))
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def test_uint64_from_negative(self):
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with pytest.warns(DeprecationWarning):
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assert_equal(np.uint64(-2), np.uint64(18446744073709551614))
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int_types = [np.byte, np.short, np.intc, np.int_, np.longlong]
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uint_types = [np.ubyte, np.ushort, np.uintc, np.uint, np.ulonglong]
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float_types = [np.half, np.single, np.double, np.longdouble]
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cfloat_types = [np.csingle, np.cdouble, np.clongdouble]
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class TestArrayFromScalar:
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""" gh-15467 """
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def _do_test(self, t1, t2):
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x = t1(2)
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arr = np.array(x, dtype=t2)
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# type should be preserved exactly
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if t2 is None:
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assert arr.dtype.type is t1
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else:
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assert arr.dtype.type is t2
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@pytest.mark.parametrize('t1', int_types + uint_types)
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@pytest.mark.parametrize('t2', int_types + uint_types + [None])
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def test_integers(self, t1, t2):
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return self._do_test(t1, t2)
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@pytest.mark.parametrize('t1', float_types)
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@pytest.mark.parametrize('t2', float_types + [None])
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def test_reals(self, t1, t2):
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return self._do_test(t1, t2)
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@pytest.mark.parametrize('t1', cfloat_types)
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@pytest.mark.parametrize('t2', cfloat_types + [None])
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def test_complex(self, t1, t2):
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return self._do_test(t1, t2)
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@pytest.mark.parametrize("length",
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[5, np.int8(5), np.array(5, dtype=np.uint16)])
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def test_void_via_length(length):
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res = np.void(length)
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assert type(res) is np.void
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assert res.item() == b"\0" * 5
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assert res.dtype == "V5"
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@pytest.mark.parametrize("bytes_",
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[b"spam", np.array(567.)])
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def test_void_from_byteslike(bytes_):
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res = np.void(bytes_)
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expected = bytes(bytes_)
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assert type(res) is np.void
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assert res.item() == expected
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# Passing dtype can extend it (this is how filling works)
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res = np.void(bytes_, dtype="V100")
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assert type(res) is np.void
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assert res.item()[:len(expected)] == expected
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assert res.item()[len(expected):] == b"\0" * (res.nbytes - len(expected))
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# As well as shorten:
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res = np.void(bytes_, dtype="V4")
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assert type(res) is np.void
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assert res.item() == expected[:4]
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def test_void_arraylike_trumps_byteslike():
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# The memoryview is converted as an array-like of shape (18,)
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# rather than a single bytes-like of that length.
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m = memoryview(b"just one mintleaf?")
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res = np.void(m)
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assert type(res) is np.ndarray
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assert res.dtype == "V1"
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assert res.shape == (18,)
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def test_void_dtype_arg():
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# Basic test for the dtype argument (positional and keyword)
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res = np.void((1, 2), dtype="i,i")
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assert res.item() == (1, 2)
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res = np.void((2, 3), "i,i")
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assert res.item() == (2, 3)
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@pytest.mark.parametrize("data",
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[5, np.int8(5), np.array(5, dtype=np.uint16)])
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def test_void_from_integer_with_dtype(data):
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# The "length" meaning is ignored, rather data is used:
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res = np.void(data, dtype="i,i")
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assert type(res) is np.void
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assert res.dtype == "i,i"
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assert res["f0"] == 5 and res["f1"] == 5
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def test_void_from_structure():
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dtype = np.dtype([('s', [('f', 'f8'), ('u', 'U1')]), ('i', 'i2')])
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data = np.array(((1., 'a'), 2), dtype=dtype)
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res = np.void(data[()], dtype=dtype)
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assert type(res) is np.void
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assert res.dtype == dtype
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assert res == data[()]
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def test_void_bad_dtype():
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with pytest.raises(TypeError,
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match="void: descr must be a `void.*int64"):
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np.void(4, dtype="i8")
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# Subarray dtype (with shape `(4,)` is rejected):
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with pytest.raises(TypeError,
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match=r"void: descr must be a `void.*\(4,\)"):
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np.void(4, dtype="4i")
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