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55 lines
2.1 KiB
55 lines
2.1 KiB
# MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
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# Copyright (C) 2020-2021, UChicago Argonne, LLC. All rights reserved.
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# Released under the modified BSD license. See COPYING.md for more details.
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from tempfile import NamedTemporaryFile
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from typing import Any
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import numpy as np
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from miplearn.features.sample import MemorySample, Sample, Hdf5Sample
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def test_memory_sample() -> None:
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_test_sample(MemorySample())
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def test_hdf5_sample() -> None:
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file = NamedTemporaryFile()
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_test_sample(Hdf5Sample(file.name))
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def _test_sample(sample: Sample) -> None:
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_assert_roundtrip_scalar(sample, "A")
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_assert_roundtrip_scalar(sample, True)
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_assert_roundtrip_scalar(sample, 1)
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_assert_roundtrip_scalar(sample, 1.0)
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_assert_roundtrip_array(sample, np.array([True, False], dtype="bool"))
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_assert_roundtrip_array(sample, np.array([1, 2, 3], dtype="int16"))
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_assert_roundtrip_array(sample, np.array([1, 2, 3], dtype="int32"))
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_assert_roundtrip_array(sample, np.array([1, 2, 3], dtype="int64"))
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_assert_roundtrip_array(sample, np.array([1.0, 2.0, 3.0], dtype="float16"))
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_assert_roundtrip_array(sample, np.array([1.0, 2.0, 3.0], dtype="float32"))
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_assert_roundtrip_array(sample, np.array([1.0, 2.0, 3.0], dtype="float64"))
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_assert_roundtrip_array(sample, np.array(["A", "BB", "CCC"], dtype="S"))
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assert sample.get_scalar("unknown-key") is None
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assert sample.get_array("unknown-key") is None
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def _assert_roundtrip_array(sample: Sample, expected: Any) -> None:
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sample.put_array("key", expected)
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actual = sample.get_array("key")
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assert actual is not None
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assert isinstance(actual, np.ndarray)
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assert actual.dtype == expected.dtype
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assert (actual == expected).all()
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def _assert_roundtrip_scalar(sample: Sample, expected: Any) -> None:
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sample.put_scalar("key", expected)
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actual = sample.get_scalar("key")
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assert actual == expected
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assert actual is not None
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assert isinstance(
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actual, expected.__class__
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), f"Expected {expected.__class__}, found {actual.__class__} instead"
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