
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowerCamelCase							=       logging.get_logger(__name__)

__lowerCamelCase							=       {
    """sail/poolformer_s12""": """https://huggingface.co/sail/poolformer_s12/resolve/main/config.json""",
    # See all PoolFormer models at https://huggingface.co/models?filter=poolformer
}






class   UpperCAmelCase		(						A_ ):
   A__					:		List[Any]						     =     "poolformer"



   def __init__(self		:					Union[str, Any]    ,						snake_case__		:					Dict=3    ,						snake_case__		:					Dict=16    ,						snake_case__		:					Dict=16    ,						snake_case__		:					List[Any]=3    ,						snake_case__		:					str=4.0    ,						snake_case__		:					str=[2, 2, 6, 2]    ,						snake_case__		:					Any=[64, 1_28, 3_20, 5_12]    ,						snake_case__		:					Any=[7, 3, 3, 3]    ,						snake_case__		:					Any=[4, 2, 2, 2]    ,						snake_case__		:					List[str]=[2, 1, 1, 1]    ,						snake_case__		:					Dict=4    ,						snake_case__		:					List[str]=0.0    ,						snake_case__		:					List[str]="gelu"    ,						snake_case__		:					Optional[int]=True    ,						snake_case__		:					List[str]=1e-5    ,						snake_case__		:					Any=0.02    ,						**snake_case__		:					Tuple    ,						)		->	int:


          '''simple docstring'''


          snake_case       :   Union[str, Any]							=      num_channels
          snake_case       :   str							=      patch_size
          snake_case       :   Union[str, Any]							=      stride
          snake_case       :   Union[str, Any]							=      padding
          snake_case       :   Union[str, Any]							=      pool_size
          snake_case       :   Dict							=      hidden_sizes
          snake_case       :   Tuple							=      mlp_ratio
          snake_case       :   str							=      depths
          snake_case       :   List[Any]							=      patch_sizes
          snake_case       :   Dict							=      strides
          snake_case       :   Optional[int]							=      num_encoder_blocks
          snake_case       :   List[str]							=      drop_path_rate
          snake_case       :   str							=      hidden_act
          snake_case       :   str							=      use_layer_scale
          snake_case       :   List[Any]							=      layer_scale_init_value
          snake_case       :   List[Any]							=      initializer_range
          super().__init__(**_snake_case )






class   UpperCAmelCase		(						A_ ):
   A__					:		List[str]						     =     version.parse("1.11" )



   @property
   def 				_SCREAMING_SNAKE_CASE   (self		:					str )		->	Mapping[str, Mapping[int, str]]:


          '''simple docstring'''


          return OrderedDict(
              [
                  ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
              ] )



   @property
   def 				_SCREAMING_SNAKE_CASE   (self		:					List[str] )		->	float:


          '''simple docstring'''


          return 2e-3










"""simple docstring"""







from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
							from .features import FeatureType
@dataclass
class        __A       :







		'''simple docstring'''





		lowerCAmelCase			:					List[str]
		lowerCAmelCase			:					Optional[str]   	=				None
		# Automatically constructed
		lowerCAmelCase			:					ClassVar[str]   	=				"dict"
		lowerCAmelCase			:					ClassVar[Any]   	=				None
		lowerCAmelCase			:					str   	=				field(default="Translation"     ,init=A_     ,repr=A_    )







		def __call__(	self						:  List[str]						)					->		Any:






				"""simple docstring"""



				return pa.struct({lang: pa.string() for lang in sorted(self.languages						)}						)







		def 					UpperCAmelCase    (	self						:  List[str]						)					->		Union["FeatureType", Dict[str, "FeatureType"]]:






				"""simple docstring"""



				from .features import Value

				return {k: Value('''string'''						) for k in sorted(self.languages						)}





@dataclass
class        __A       :







		'''simple docstring'''





		lowerCAmelCase			:					Optional[List]   	=				None
		lowerCAmelCase			:					Optional[int]   	=				None
		lowerCAmelCase			:					Optional[str]   	=				None
		# Automatically constructed
		lowerCAmelCase			:					ClassVar[str]   	=				"dict"
		lowerCAmelCase			:					ClassVar[Any]   	=				None
		lowerCAmelCase			:					str   	=				field(default="TranslationVariableLanguages"     ,init=A_     ,repr=A_    )







		def 					UpperCAmelCase    (	self						:  List[Any]						)					->		Optional[int]:






				"""simple docstring"""



				lowercase__   :    Optional[int]				=			sorted(set(self.languages						)						) if self.languages else None
				lowercase__   :    Dict				=			len(self.languages						) if self.languages else None







		def __call__(	self						:  List[Any]						)					->		List[Any]:






				"""simple docstring"""



				return pa.struct({'''language''': pa.list_(pa.string()						), '''translation''': pa.list_(pa.string()						)}						)







		def 					UpperCAmelCase    (	self						:  Dict			,_snake_case						:  Tuple						)					->		int:






				"""simple docstring"""



				lowercase__   :    List[Any]				=			set(self.languages						)
				if self.languages and set(_snake_case						) - lang_set:
						raise ValueError(
						    f"""Some languages in example ({", ".join(sorted(set(_snake_case						) - lang_set						)						)}) are not in valid set ({", ".join(_snake_case						)})."""						)

				# Convert dictionary into tuples, splitting out cases where there are
				# multiple translations for a single language.
				lowercase__   :    str				=			[]
				for lang, text in translation_dict.items():
						if isinstance(_snake_case			,_snake_case						):
								translation_tuples.append((lang, text)						)
						else:
								translation_tuples.extend([(lang, el) for el in text]						)

        # Ensure translations are in ascending order by language code.
				lowercase__		,			lowercase__   :    Optional[Any]				=			zip(*sorted(_snake_case						)						)

				return {"language": languages, "translation": translations}







		def 					UpperCAmelCase    (	self						:  List[Any]						)					->		Union["FeatureType", Dict[str, "FeatureType"]]:






				"""simple docstring"""



				from .features import Sequence, Value

				return {
				    "language": Sequence(Value('''string'''						)						),
				    "translation": Sequence(Value('''string'''						)						),
				}
