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# Copyright 2022 DeepMind Technologies Limited. All Rights Reserved.
#
# 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.
# ==============================================================================
"""Tests for causal_eval."""
from absl.testing import absltest
from absl.testing import parameterized
from tracr.rasp import causal_eval
from tracr.rasp import rasp
class CausalEvalTest(parameterized.TestCase):
@parameterized.named_parameters(
dict(
testcase_name="constant_selector_3x3_1",
program=rasp.ConstantSelector([
[True, True, True],
[True, True, True],
[True, True, True],
]),
input_sequence=[True, True, True],
expected_output=[
[True, False, False],
[True, True, False],
[True, True, True],
]),
dict(
testcase_name="constant_selector_3x3_2",
program=rasp.ConstantSelector([
[True, True, True],
[False, True, True],
[True, False, True],
]),
input_sequence=[True, True, True],
expected_output=[
[True, False, False],
[False, True, False],
[True, False, True],
]))
def test_evaluations(self, program, input_sequence, expected_output):
self.assertListEqual(
causal_eval.evaluate(program, input_sequence),
expected_output,
)
if __name__ == "__main__":
absltest.main()
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