





'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowercase_			       =				{
    """configuration_videomae""": ["""VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """VideoMAEConfig"""],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase_			       =				[
          """VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """VideoMAEForPreTraining""",
          """VideoMAEModel""",
          """VideoMAEPreTrainedModel""",
          """VideoMAEForVideoClassification""",
      ]

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase_			       =				["""VideoMAEFeatureExtractor"""]
      lowercase_			       =				["""VideoMAEImageProcessor"""]

if TYPE_CHECKING:
      from .configuration_videomae import VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP, VideoMAEConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_videomae import (
                VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST,
                VideoMAEForPreTraining,
                VideoMAEForVideoClassification,
                VideoMAEModel,
                VideoMAEPreTrainedModel,
            )

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_videomae import VideoMAEFeatureExtractor
            from .image_processing_videomae import VideoMAEImageProcessor

else:
      import sys

      lowercase_			       =				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)










'''simple docstring'''

def lowerCamelCase		(  __lowerCamelCase				:					str					)		->str:
    _SCREAMING_SNAKE_CASE             =    word.upper()
    _SCREAMING_SNAKE_CASE             =    0
    _SCREAMING_SNAKE_CASE             =    {}
    _SCREAMING_SNAKE_CASE             =    []

    for letter in word:
        if letter not in letter_nums:
            _SCREAMING_SNAKE_CASE             =    str(__lowerCamelCase					)
            next_num += 1
        word_pattern.append(letter_nums[letter]					)
    return ".".join(__lowerCamelCase					)


if __name__ == "__main__":
      import pprint
      import time

      lowercase_			       =				time.time()
      with open("""dictionary.txt""") as in_file:
            lowercase_			       =				in_file.read().splitlines()

      lowercase_			       =				{}
      for word in word_list:
            lowercase_			       =				get_word_pattern(word)
            if pattern in all_patterns:
                  all_patterns[pattern].append(word)
            else:
                  lowercase_			       =				[word]

      with open("""word_patterns.txt""", """w""") as out_file:
            out_file.write(pprint.pformat(all_patterns))

      lowercase_			       =				round(time.time() - start_time, 2)
      print(f"""Done!  {len(all_patterns):,} word patterns found in {total_time} seconds.""")
      # Done!  9,581 word patterns found in 0.58 seconds.



