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# to you under the Apache License, Version 2.0 (the
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#
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# pylint: disable=missing-module-docstring,missing-function-docstring,missing-class-docstring

import numpy as np

import tvm.runtime
from tvm.ir.utils import derived_object
from tvm.s_tir.meta_schedule import TuneContext
from tvm.s_tir.meta_schedule.feature_extractor import PyFeatureExtractor
from tvm.s_tir.meta_schedule.search_strategy import MeasureCandidate


def test_meta_schedule_feature_extractor():
    @derived_object
    class FancyFeatureExtractor(PyFeatureExtractor):
        def extract_from(
            self,
            context: TuneContext,  # pylint: disable = unused-argument
            candidates: list[MeasureCandidate],  # pylint: disable = unused-argument
        ) -> list[np.ndarray]:
            return [tvm.runtime.tensor(np.random.rand(4, 5))]

    extractor = FancyFeatureExtractor()
    features = extractor.extract_from(TuneContext(), [])
    assert len(features) == 1
    assert features[0].shape == (4, 5)


if __name__ == "__main__":
    test_meta_schedule_feature_extractor()
