# Copyright (c) 2021, NVIDIA CORPORATION.  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.


import pytest
from parameterized import parameterized

from nemo_text_processing.inverse_text_normalization.inverse_normalize import InverseNormalizer
from nemo_text_processing.text_normalization.normalize import Normalizer
from nemo_text_processing.text_normalization.normalize_with_audio import NormalizerWithAudio

from ..utils import CACHE_DIR, RUN_AUDIO_BASED_TESTS, parse_test_case_file


class TestMoney:
    inverse_normalizer_en = InverseNormalizer(lang='en', cache_dir=CACHE_DIR, overwrite_cache=False)
    inverse_normalizer_en_cased = InverseNormalizer(
        lang='en', cache_dir=CACHE_DIR, overwrite_cache=False, input_case="cased"
    )

    @parameterized.expand(parse_test_case_file('en/data_inverse_text_normalization/test_cases_money.txt'))
    @pytest.mark.run_only_on('CPU')
    @pytest.mark.unit
    def test_denorm(self, test_input, expected):
        pred = self.inverse_normalizer_en.inverse_normalize(test_input, verbose=False)
        assert pred == expected, f"input: {test_input}"
        pred = self.inverse_normalizer_en_cased.inverse_normalize(test_input, verbose=False)
        assert pred == expected, f"input: {test_input}"

    @parameterized.expand(parse_test_case_file('en/data_inverse_text_normalization/test_cases_money_cased.txt'))
    @pytest.mark.run_only_on('CPU')
    @pytest.mark.unit
    def test_denorm(self, test_input, expected):
        pred = self.inverse_normalizer_en_cased.inverse_normalize(test_input, verbose=False)
        assert pred == expected, f"input: {test_input}"

    normalizer_en = Normalizer(
        input_case='cased', lang='en', cache_dir=CACHE_DIR, overwrite_cache=False, post_process=False
    )
    normalizer_with_audio_en = (
        NormalizerWithAudio(input_case='cased', lang='en', cache_dir=CACHE_DIR, overwrite_cache=False)
        if RUN_AUDIO_BASED_TESTS
        else None
    )

    @parameterized.expand(parse_test_case_file('en/data_text_normalization/test_cases_money.txt'))
    @pytest.mark.run_only_on('CPU')
    @pytest.mark.unit
    def test_norm(self, test_input, expected):
        pred = self.normalizer_en.normalize(test_input, verbose=False)
        assert pred == expected, f"input: {test_input}"

        if self.normalizer_with_audio_en:
            pred_non_deterministic = self.normalizer_with_audio_en.normalize(
                test_input, n_tagged=30, punct_post_process=False,
            )
            assert expected in pred_non_deterministic