AlkantarClanX12
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import pytest
import operator
import numpy as np
from numpy.testing import assert_array_equal
COMPARISONS = [
(operator.eq, np.equal, "=="),
(operator.ne, np.not_equal, "!="),
(operator.lt, np.less, "<"),
(operator.le, np.less_equal, "<="),
(operator.gt, np.greater, ">"),
(operator.ge, np.greater_equal, ">="),
]
@pytest.mark.parametrize(["op", "ufunc", "sym"], COMPARISONS)
def test_mixed_string_comparison_ufuncs_fail(op, ufunc, sym):
arr_string = np.array(["a", "b"], dtype="S")
arr_unicode = np.array(["a", "c"], dtype="U")
with pytest.raises(TypeError, match="did not contain a loop"):
ufunc(arr_string, arr_unicode)
with pytest.raises(TypeError, match="did not contain a loop"):
ufunc(arr_unicode, arr_string)
@pytest.mark.parametrize(["op", "ufunc", "sym"], COMPARISONS)
def test_mixed_string_comparisons_ufuncs_with_cast(op, ufunc, sym):
arr_string = np.array(["a", "b"], dtype="S")
arr_unicode = np.array(["a", "c"], dtype="U")
# While there is no loop, manual casting is acceptable:
res1 = ufunc(arr_string, arr_unicode, signature="UU->?", casting="unsafe")
res2 = ufunc(arr_string, arr_unicode, signature="SS->?", casting="unsafe")
expected = op(arr_string.astype('U'), arr_unicode)
assert_array_equal(res1, expected)
assert_array_equal(res2, expected)
@pytest.mark.parametrize(["op", "ufunc", "sym"], COMPARISONS)
@pytest.mark.parametrize("dtypes", [
("S2", "S2"), ("S2", "S10"),
("<U1", "<U1"), ("<U1", ">U1"), (">U1", ">U1"),
("<U1", "<U10"), ("<U1", ">U10")])
@pytest.mark.parametrize("aligned", [True, False])
def test_string_comparisons(op, ufunc, sym, dtypes, aligned):
# ensure native byte-order for the first view to stay within unicode range
native_dt = np.dtype(dtypes[0]).newbyteorder("=")
arr = np.arange(2**15).view(native_dt).astype(dtypes[0])
if not aligned:
# Make `arr` unaligned:
new = np.zeros(arr.nbytes + 1, dtype=np.uint8)[1:].view(dtypes[0])
new[...] = arr
arr = new
arr2 = arr.astype(dtypes[1], copy=True)
np.random.shuffle(arr2)
arr[0] = arr2[0] # make sure one matches
expected = [op(d1, d2) for d1, d2 in zip(arr.tolist(), arr2.tolist())]
assert_array_equal(op(arr, arr2), expected)
assert_array_equal(ufunc(arr, arr2), expected)
assert_array_equal(np.compare_chararrays(arr, arr2, sym, False), expected)
expected = [op(d2, d1) for d1, d2 in zip(arr.tolist(), arr2.tolist())]
assert_array_equal(op(arr2, arr), expected)
assert_array_equal(ufunc(arr2, arr), expected)
assert_array_equal(np.compare_chararrays(arr2, arr, sym, False), expected)
@pytest.mark.parametrize(["op", "ufunc", "sym"], COMPARISONS)
@pytest.mark.parametrize("dtypes", [
("S2", "S2"), ("S2", "S10"), ("<U1", "<U1"), ("<U1", ">U10")])
def test_string_comparisons_empty(op, ufunc, sym, dtypes):
arr = np.empty((1, 0, 1, 5), dtype=dtypes[0])
arr2 = np.empty((100, 1, 0, 1), dtype=dtypes[1])
expected = np.empty(np.broadcast_shapes(arr.shape, arr2.shape), dtype=bool)
assert_array_equal(op(arr, arr2), expected)
assert_array_equal(ufunc(arr, arr2), expected)
assert_array_equal(np.compare_chararrays(arr, arr2, sym, False), expected)
@pytest.mark.parametrize("str_dt", ["S", "U"])
@pytest.mark.parametrize("float_dt", np.typecodes["AllFloat"])
def test_float_to_string_cast(str_dt, float_dt):
float_dt = np.dtype(float_dt)
fi = np.finfo(float_dt)
arr = np.array([np.nan, np.inf, -np.inf, fi.max, fi.min], dtype=float_dt)
expected = ["nan", "inf", "-inf", repr(fi.max), repr(fi.min)]
if float_dt.kind == 'c':
expected = [f"({r}+0j)" for r in expected]
res = arr.astype(str_dt)
assert_array_equal(res, np.array(expected, dtype=str_dt))