


"""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       a_ (	lowercase__ :Optional[Any],			lowercase__ :Optional[Any],			lowercase__ :Optional[Any]     ):
			__lowerCamelCase          =      hf_hub_url(repo_id=lowercase__,			path=lowercase__,			revision=lowercase__     )
			assert url == f'https://huggingface.co/datasets/{repo_id}/resolve/{revision or "main"}/{quote(lowercase__     )}'








"""simple docstring"""




from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import torch

from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available




@dataclass
class 			__snake_case   (lowerCamelCase  ):
							__a					 =       42


try:
					if not (is_transformers_available() and is_torch_available()):
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
					from .pipeline_text_to_video_synth import TextToVideoSDPipeline
					from .pipeline_text_to_video_synth_imgaimg import VideoToVideoSDPipeline  # noqa: F401
					from .pipeline_text_to_video_zero import TextToVideoZeroPipeline




