59 lines
2.1 KiB
Python
59 lines
2.1 KiB
Python
import pytest
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import numpy as np
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from numpy.testing import assert_allclose
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from sklearn.ensemble._hist_gradient_boosting._bitset import (
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set_bitset_memoryview,
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in_bitset_memoryview,
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set_raw_bitset_from_binned_bitset
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)
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from sklearn.ensemble._hist_gradient_boosting.common import X_DTYPE
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@pytest.mark.parametrize("values_to_insert, expected_bitset", [
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([0, 4, 33], np.array([2**0 + 2**4, 2**1, 0], dtype=np.uint32)),
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([31, 32, 33, 79], np.array([2**31, 2**0 + 2**1, 2**15], dtype=np.uint32))
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])
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def test_set_get_bitset(values_to_insert, expected_bitset):
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n_32bits_ints = 3
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bitset = np.zeros(n_32bits_ints, dtype=np.uint32)
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for value in values_to_insert:
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set_bitset_memoryview(bitset, value)
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assert_allclose(expected_bitset, bitset)
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for value in range(32 * n_32bits_ints):
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if value in values_to_insert:
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assert in_bitset_memoryview(bitset, value)
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else:
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assert not in_bitset_memoryview(bitset, value)
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@pytest.mark.parametrize(
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"raw_categories, binned_cat_to_insert, expected_raw_bitset", [
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([3, 4, 5, 10, 31, 32, 43],
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[0, 2, 4, 5, 6],
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[2**3 + 2**5 + 2**31, 2**0 + 2**11]),
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([3, 33, 50, 52],
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[1, 3],
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[0, 2**1 + 2**20]),
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]
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)
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def test_raw_bitset_from_binned_bitset(raw_categories, binned_cat_to_insert,
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expected_raw_bitset):
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binned_bitset = np.zeros(2, dtype=np.uint32)
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raw_bitset = np.zeros(2, dtype=np.uint32)
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raw_categories = np.asarray(raw_categories, dtype=X_DTYPE)
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for val in binned_cat_to_insert:
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set_bitset_memoryview(binned_bitset, val)
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set_raw_bitset_from_binned_bitset(raw_bitset, binned_bitset,
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raw_categories)
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assert_allclose(expected_raw_bitset, raw_bitset)
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for binned_cat_val, raw_cat_val in enumerate(raw_categories):
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if binned_cat_val in binned_cat_to_insert:
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assert in_bitset_memoryview(raw_bitset, raw_cat_val)
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else:
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assert not in_bitset_memoryview(raw_bitset, raw_cat_val)
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