

'''simple docstring'''





from urllib.parse import quote

import pytest

from datasets.utils.hub import hf_hub_url



@pytest.mark.parametrize("repo_id",		["canonical_dataset_name", "org-name/dataset-name"]							)
@pytest.mark.parametrize("path",		["filename.csv", "filename with blanks.csv"]							)
@pytest.mark.parametrize("revision",		[None, "v2"]							)
def 					_lowercase						(   lowerCamelCase__			:		str,		lowerCamelCase__			:		Union[str, Any],		lowerCamelCase__			:		str							):
				_a        =   hf_hub_url(repo_id=lowerCAmelCase__,		path=lowerCAmelCase__,		revision=lowerCAmelCase__							)
				assert url == F'''https://huggingface.co/datasets/{repo_id}/resolve/{revision or 'main'}/{quote(lowerCAmelCase__							)}'''









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE							    =							{'configuration_wavlm': ['WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'WavLMConfig']}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  SCREAMING_SNAKE_CASE							    =							[
      'WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST',
      'WavLMForAudioFrameClassification',
      'WavLMForCTC',
      'WavLMForSequenceClassification',
      'WavLMForXVector',
      'WavLMModel',
      'WavLMPreTrainedModel',
  ]

if TYPE_CHECKING:
  from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_wavlm import (
        WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
        WavLMForAudioFrameClassification,
        WavLMForCTC,
        WavLMForSequenceClassification,
        WavLMForXVector,
        WavLMModel,
        WavLMPreTrainedModel,
    )

else:
  import sys

  SCREAMING_SNAKE_CASE							    =							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



