# Copyright (c) 2016-present, Facebook, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
##############################################################################

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals

import numpy as np
from hypothesis import given
import hypothesis.strategies as st

from caffe2.python import core
import caffe2.python.hypothesis_test_util as hu


class TestUnmaskOp(hu.HypothesisTestCase):
    @given(N=st.integers(min_value=2, max_value=20),
           dtype=st.sampled_from([
               np.bool_,
               np.int8,
               np.int16,
               np.int32,
               np.int64,
               np.uint8,
               np.uint16,
               np.float16,
               np.float32,
               np.float64]),
           **hu.gcs)
    def test(self, N, dtype, gc, dc):
        if dtype is np.bool_:
            all_value = np.random.choice(a=[True, False], size=N)
        else:
            all_value = (np.random.rand(N) * N).astype(dtype)

        M = np.random.randint(1, N)
        split = sorted(np.random.randint(1, N, size=M))
        indices = np.random.permutation(N)
        pieces = np.split(indices, split)

        def ref(*args, **kwargs):
            return (all_value,)

        inputs = []
        inputs_names = []
        for i, piece in enumerate(pieces):
            piece.sort()
            mask = np.zeros(N, dtype=np.bool_)
            mask[piece] = True
            values = all_value[piece]
            inputs.extend([mask, values])
            inputs_names.extend(["mask%d" % i, "value%d" % i])

        op = core.CreateOperator(
            'BooleanUnmask',
            inputs_names,
            'output')

        self.assertReferenceChecks(gc, op, inputs, ref)
        self.assertDeviceChecks(dc, op, inputs, [0])


if __name__ == "__main__":
    import unittest
    unittest.main()
