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))