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#
# 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,
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import pytest

from nemo.collections.asr.inference.utils.enums import (
    ASRDecodingType,
    ASROutputGranularity,
    FeatureBufferPaddingMode,
    PipelineType,
    RequestType,
)


class TestEnums:

    @pytest.mark.unit
    def test_ASRDecodingType(self):
        assert ASRDecodingType.from_str("ctc") == ASRDecodingType.CTC
        assert ASRDecodingType.from_str("RNNT") == ASRDecodingType.RNNT
        with pytest.raises(ValueError):
            ASRDecodingType.from_str("invalid")

    @pytest.mark.unit
    def test_ASROutputGranularity(self):
        assert ASROutputGranularity.from_str("word") == ASROutputGranularity.WORD
        assert ASROutputGranularity.from_str("segment") == ASROutputGranularity.SEGMENT
        with pytest.raises(ValueError):
            ASROutputGranularity.from_str("invalid")

    @pytest.mark.unit
    def test_PipelineType(self):
        assert PipelineType.from_str("buffered") == PipelineType.BUFFERED
        assert PipelineType.from_str("cache_aware") == PipelineType.CACHE_AWARE
        with pytest.raises(ValueError):
            PipelineType.from_str("invalid")

    @pytest.mark.unit
    def test_RequestType(self):
        assert RequestType.from_str("frame") == RequestType.FRAME
        assert RequestType.from_str("feature_buffer") == RequestType.FEATURE_BUFFER
        with pytest.raises(ValueError):
            RequestType.from_str("invalid")

    @pytest.mark.unit
    def test_FeatureBufferPaddingMode(self):
        assert FeatureBufferPaddingMode.from_str("left") == FeatureBufferPaddingMode.LEFT
        assert FeatureBufferPaddingMode.from_str("right") == FeatureBufferPaddingMode.RIGHT
        with pytest.raises(ValueError):
            FeatureBufferPaddingMode.from_str("invalid")