nvidia-nemo--speech/tests/collections/asr/inference/test_pipeline_utils.py

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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.
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#     http://www.apache.org/licenses/LICENSE-2.0
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import re

import pytest
import torch

from nemo.collections.asr.inference.utils.pipeline_utils import (
    check_existance_of_required_attributes,
    drop_trailing_features,
    get_leading_punctuation_regex_pattern,
    get_repeated_punctuation_regex_pattern,
)


class TestPipelineUtils:

    @pytest.mark.unit
    def test_drop_trailing_features(self):
        x = torch.randn(10, 10, 20)
        expected_feature_buffer_len = 15
        x_dropped = drop_trailing_features(x, expected_feature_buffer_len)
        assert x_dropped.shape == (10, 10, 15)
        assert x_dropped.allclose(x[:, :, :15])

    @pytest.mark.unit
    @pytest.mark.parametrize(
        "text, expected_text",
        [
            ("", ""),
            (" ", " "),
            ("simple text", "simple text"),
            ("just a 2nd . Yeah, I hope", "just a 2nd. Yeah, I hope"),
            ("Hello , world ! How are you ?", "Hello, world! How are you?"),
            ("The quick, brown fox jumps ? over the lazy ! dog.", "The quick, brown fox jumps? over the lazy! dog."),
        ],
    )
    def test_remove_leading_punctuation_spaces(self, text, expected_text):
        puncts = {"!", "?", ".", ","}
        pattern = get_leading_punctuation_regex_pattern(puncts)
        assert re.sub(pattern, r'\1', text) == expected_text

    @pytest.mark.unit
    @pytest.mark.parametrize(
        "text, expected_text",
        [
            ("", ""),
            (" ", " "),
            ("simple text", "simple text"),
            ("Hello, world!! How are you???", "Hello, world! How are you?"),
            ("The quick,, brown fox jumps? over the lazy! dog..", "The quick, brown fox jumps? over the lazy! dog."),
        ],
    )
    def test_remove_repeated_punctuation(self, text, expected_text):
        puncts = {"!", "?", ".", ","}
        pattern = get_repeated_punctuation_regex_pattern(puncts)
        assert re.sub(pattern, r'\1', text) == expected_text

    @pytest.mark.unit
    def test_check_existance_of_required_attributes(self):
        class TestClass:
            pass

        with pytest.raises(ValueError):
            check_existance_of_required_attributes(TestClass, ['test_attr'])