




"""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 _lowerCamelCase    (					a_						):
   _lowerCamelCase    :Union[List[np.ndarray], torch.FloatTensor]


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











"""simple docstring"""


def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase				)						->    str:
      return "\n".join(
          f"""{number} * {i} = {number * i}""" for i in range(1    ,		number_of_terms + 1				)				)


if __name__ == "__main__":
  print(multiplication_table(number=5, number_of_terms=1_0))





