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# BSD 3-Clause License; see https://github.com/scikit-hep/awkward/blob/main/LICENSE
from __future__ import annotations
import numpy as np
import awkward as ak
from awkward.contents import NumpyArray
from awkward.index import Index64
def test_array_equal_simple():
assert ak.array_equal(
ak.Array([[1, 2], [], [3, 4, 5]]),
ak.Array([[1, 2], [], [3, 4, 5]]),
)
def test_array_equal_mixed_dtype():
assert not ak.array_equal(
ak.Array(np.array([1.5, 2.0, 3.25], dtype=np.float32)),
ak.Array(np.array([1.5, 2.0, 3.25], dtype=np.float64)),
)
assert ak.array_equal(
ak.Array(np.array([1.5, 2.0, 3.25], dtype=np.float32)),
ak.Array(np.array([1.5, 2.0, 3.25], dtype=np.float64)),
dtype_exact=False,
)
def test_array_equal_on_listoffsets():
a1 = ak.contents.ListOffsetArray(
Index64(np.array([0, 3, 3, 5])), NumpyArray(np.arange(5) * 1.5)
)
a2 = ak.contents.ListOffsetArray(
Index64(np.array([0, 3, 3, 5])),
NumpyArray(np.arange(10) * 1.5), # Longer array content than a1
)
assert ak.array_equal(a1, a2)
# double jagged array
a = ak.Array([[[1], [2, 3]], [[4, 5], [6]]])
assert ak.array_equal(a, a)
# different index same content
a = ak.Array([[1], [2, 3]])
b = ak.Array([[1, 2], [3]])
assert not ak.array_equal(a, b)
# different outer index, same inner index
a = ak.Array([[[], [1]], [[], [0]]])
b = ak.Array([[[], [1], []], [[0]]])
assert not ak.array_equal(a, b)
# same outer index, different inner index
a = ak.Array([[[0, 1], [1]], [[0], []]])
b = ak.Array([[[0], [1, 1]], [[], [0]]])
assert not ak.array_equal(a, b)
# nested
a = ak.Array([[[[]], [[0, 1], [1]]], [[[0]], [[]]]])
b = ak.Array([[[[0]], [[1], [1]]], [[[]], [[0]]]])
assert not ak.array_equal(a, b)
def test_array_equal_mixed_content_type():
a1 = ak.Array([[1, 2, 3], [4, 5, 6], [7, 8]])
a1r = ak.to_regular(a1[:2])
assert not ak.array_equal(a1[:2], a1r)
assert ak.array_equal(a1[:2], a1r, check_regular=False)
assert not ak.array_equal(a1, a1r, check_regular=False)
assert ak.array_equal(
a1, a1.layout
) # high-level automatically converted to layout in pre-check
a2_np = ak.contents.NumpyArray(np.arange(3))
a2_ia = ak.contents.IndexedArray(
Index64(np.array([0, 1, 2])), NumpyArray(np.arange(3))
)
assert ak.array_equal(a2_np, a2_ia, same_content_types=False)
def test_array_equal_opion_types():
a1 = ak.Array([1, 2, None, 4])
a2 = ak.concatenate([ak.Array([1, 2]), ak.Array([None, 4])])
assert ak.array_equal(a1, a2)
a3 = a1.layout.to_ByteMaskedArray(valid_when=True)
assert not ak.array_equal(a1, a3, same_content_types=True)
assert ak.array_equal(a1, a3, same_content_types=False)
assert not ak.array_equal(
a1, ak.Array([1, 2, 3, 4]), same_content_types=False, dtype_exact=False
)
def test_array_equal_nan():
a = ak.Array([1.0, 2.5, np.nan])
nplike = a.layout.backend.nplike
assert not nplike.array_equal(a.layout.data, a.layout.data)
assert nplike.array_equal(a.layout.data, a.layout.data, equal_nan=True)
assert not ak.array_equal(a, a)
assert ak.array_equal(a, a, equal_nan=True)
def test_array_equal_with_params():
a1 = NumpyArray(
np.array([1, 2, 3], dtype=np.uint32), parameters={"foo": {"bar": "baz"}}
)
a2 = NumpyArray(
np.array([1, 2, 3], dtype=np.uint32), parameters={"foo": {"bar": "Not so fast"}}
)
assert not ak.array_equal(a1, a2)
assert ak.array_equal(a1, a2, check_parameters=False)
def test_array_equal_numpy_override():
assert np.array_equal(
ak.Array([[1, 2], [], [3, 4, 5]]),
ak.Array([[1, 2], [], [3, 4, 5]]),
)
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