
"""simple docstring"""






def 		_snake_case			(      lowercase__						:    str						)    ->							str:


			'''simple docstring'''





			lowerCAmelCase_       :str     	=    word.upper()
			lowerCAmelCase_       :List[Any]     	=    0
			lowerCAmelCase_       :Union[str, Any]     	=    {}
			lowerCAmelCase_       :int     	=    []

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


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

				__UpperCAmelCase 					=    time.time()
				with open('dictionary.txt') as in_file:
								__UpperCAmelCase 					=    in_file.read().splitlines()

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

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

				__UpperCAmelCase 					=    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.










"""simple docstring"""






from typing import TYPE_CHECKING

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


lowercase  		=			{
    """configuration_mobilevitv2""": [
        """MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """MobileViTV2Config""",
        """MobileViTV2OnnxConfig""",
    ],
}


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase  		=			[
					    """MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """MobileViTV2ForImageClassification""",
					    """MobileViTV2ForSemanticSegmentation""",
					    """MobileViTV2Model""",
					    """MobileViTV2PreTrainedModel""",
					]

if TYPE_CHECKING:
					from .configuration_mobilevitva import (
					    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    MobileViTVaConfig,
					    MobileViTVaOnnxConfig,
					)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_mobilevitva import (
										    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MobileViTVaForImageClassification,
										    MobileViTVaForSemanticSegmentation,
										    MobileViTVaModel,
										    MobileViTVaPreTrainedModel,
										)

else:
					import sys

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





