

"""simple docstring"""




import copy

from transformers.configuration_utils import PretrainedConfig
from transformers.utils import logging


__A	:       Dict        =						logging.get_logger(__name__)





class      __UpperCamelCase					(  _A		):
		SCREAMING_SNAKE_CASE														=       "hybrid-clip"
		SCREAMING_SNAKE_CASE														=       True


		def __init__(self					:						str	,	__SCREAMING_SNAKE_CASE					:						str=5_1_2	,	**__SCREAMING_SNAKE_CASE					:						str):
							super().__init__(**__SCREAMING_SNAKE_CASE)

							if "text_config" not in kwargs:
												raise ValueError("`text_config` can not be `None`.")

							if "vision_config" not in kwargs:
												raise ValueError("`vision_config` can not be `None`.")

							A     =   kwargs.pop("text_config")
							A     =   kwargs.pop("vision_config")

							A     =   text_config.pop("model_type")
							A     =   vision_config.pop("model_type")

							from transformers import AutoConfig

							A     =   AutoConfig.for_model(__SCREAMING_SNAKE_CASE	,	**__SCREAMING_SNAKE_CASE)

							if vision_model_type == "clip":
												A     =   AutoConfig.for_model(__SCREAMING_SNAKE_CASE	,	**__SCREAMING_SNAKE_CASE).vision_config
							elif vision_model_type == "clip_vision_model":
												from transformers import CLIPVisionConfig

												A     =   CLIPVisionConfig(**__SCREAMING_SNAKE_CASE)
							else:
												A     =   AutoConfig.for_model(__SCREAMING_SNAKE_CASE	,	**__SCREAMING_SNAKE_CASE)

							A     =   projection_dim
							A     =   1.0


		@classmethod
		def    SCREAMING_SNAKE_CASE__  (cls					:						List[Any]	,	__SCREAMING_SNAKE_CASE					:						PretrainedConfig	,	__SCREAMING_SNAKE_CASE					:						PretrainedConfig	,	**__SCREAMING_SNAKE_CASE					:						Union[str, Any]):
							return cls(text_config=text_config.to_dict()	,	vision_config=vision_config.to_dict()	,	**__SCREAMING_SNAKE_CASE)


		def    SCREAMING_SNAKE_CASE__  (self					:						Optional[Any]):
							A     =   copy.deepcopy(self.__dict__)
							A     =   self.text_config.to_dict()
							A     =   self.vision_config.to_dict()
							A     =   self.__class__.model_type
							return output








'''simple docstring'''







from collections import namedtuple

_lowerCamelCase    =  namedtuple('from_to', 'from_ to')

_lowerCamelCase    =  {
    'millimeter': 'mm',
    'centimeter': 'cm',
    'meter': 'm',
    'kilometer': 'km',
    'inch': 'in',
    'inche': 'in',  # Trailing 's' has been stripped off
    'feet': 'ft',
    'foot': 'ft',
    'yard': 'yd',
    'mile': 'mi',
}

_lowerCamelCase    =  {
    'mm': from_to(0.001, 1_0_0_0),
    'cm': from_to(0.01, 1_0_0),
    'm': from_to(1, 1),
    'km': from_to(1_0_0_0, 0.001),
    'in': from_to(0.0254, 39.3701),
    'ft': from_to(0.3048, 3.2_8084),
    'yd': from_to(0.9144, 1.0_9361),
    'mi': from_to(1609.34, 0.0_0062_1371),
}






def 					_SCREAMING_SNAKE_CASE		(						snake_case_							,       snake_case_							,       snake_case_	):
	_lowercase							=     from_type.lower().rstrip("""s"""	)
	_lowercase							=     TYPE_CONVERSION.get(snake_case_							,       snake_case_	)
	_lowercase							=     to_type.lower().rstrip("""s"""	)
	_lowercase							=     TYPE_CONVERSION.get(snake_case_							,       snake_case_	)
	if new_from not in METRIC_CONVERSION:
		_lowercase							=     (
		    F"""Invalid 'from_type' value: {from_type!r}.\n"""
		    F"""Conversion abbreviations are: {", ".join(snake_case_	)}"""
		)
		raise ValueError(snake_case_	)
	if new_to not in METRIC_CONVERSION:
		_lowercase							=     (
		    F"""Invalid 'to_type' value: {to_type!r}.\n"""
		    F"""Conversion abbreviations are: {", ".join(snake_case_	)}"""
		)
		raise ValueError(snake_case_	)
	return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
							import doctest

							doctest.testmod()




