


"""simple docstring"""






from ctypes import c_float, sizeof
from enum import Enum
from typing import TYPE_CHECKING, Optional, Union


if TYPE_CHECKING:
	from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore


class       lowerCamelCase_		(      lowercase ):





				"""simple docstring"""







				_lowerCAmelCase   :   Optional[int]   				=       c_float



				@property
				def 	lowerCAmelCase__		(    self  ):
								return sizeof(self.value  )


def __lowercase  (   lowerCamelCase_	:   int    ,       lowerCamelCase_	:   int    ,       lowerCamelCase_	:   int = 0	):
				# < 0 is possible if using a dynamic axis
				if dimension <= 0:
								SCREAMING_SNAKE_CASE__  				=					fixed_dimension

				dimension -= num_token_to_add
				return dimension


def __lowercase  (   lowerCamelCase_	:   int    ,       lowerCamelCase_	:   ParameterFormat	):
				return num_parameters * dtype.size


def __lowercase  (   lowerCamelCase_	:   str	):
				from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore

				try:
								return AutoProcessor.from_pretrained(lowerCamelCase_	)
				except (ValueError, OSError, KeyError):
								SCREAMING_SNAKE_CASE__				,   SCREAMING_SNAKE_CASE__  				=					None, None
								try:
												SCREAMING_SNAKE_CASE__  				=					AutoTokenizer.from_pretrained(lowerCamelCase_	)
								except (OSError, KeyError):
												pass
								try:
												SCREAMING_SNAKE_CASE__  				=					AutoFeatureExtractor.from_pretrained(lowerCamelCase_	)
								except (OSError, KeyError):
												pass

								if tokenizer is not None and feature_extractor is not None:
												raise ValueError(
												    F'''Couldn\'t auto-detect preprocessor for {model_name}. Found both a tokenizer and a feature extractor.'''	)
								elif tokenizer is None and feature_extractor is None:
												return None
								elif tokenizer is not None:
												return tokenizer
								else:
												return feature_extractor




"""simple docstring"""






def __lowercase  (   lowerCamelCase_	:   list	):
				if not isinstance(lowerCamelCase_    ,       lowerCamelCase_	):
								raise ValueError("Input series is not valid, valid series - [2, 4, 8]"	)
				if len(lowerCamelCase_	) == 0:
								raise ValueError("Input list must be a non empty list"	)
				if len(lowerCamelCase_	) == 1:
								return True
				try:
								SCREAMING_SNAKE_CASE__  				=					series[1] / series[0]
								for index in range(len(lowerCamelCase_	) - 1	):
												if series[index + 1] / series[index] != common_ratio:
																return False
				except ZeroDivisionError:
								return False
				return True


def __lowercase  (   lowerCamelCase_	:   list	):
				if not isinstance(lowerCamelCase_    ,       lowerCamelCase_	):
								raise ValueError("Input series is not valid, valid series - [2, 4, 8]"	)
				if len(lowerCamelCase_	) == 0:
								raise ValueError("Input list must be a non empty list"	)
				SCREAMING_SNAKE_CASE__  				=					1
				for value in series:
								answer *= value
				return pow(lowerCamelCase_    ,       1 / len(lowerCamelCase_	)	)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
