




"""simple docstring"""






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


lowercase__     						=						logging.get_logger(__name__)

lowercase__     						=						{
    """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 lowerCAmelCase__	(     lowercase						):






			'''simple docstring'''



			lowerCamelCase__      =			"""poolformer"""
			def __init__(  self  ,      lowercase=3  ,      lowercase=16  ,      lowercase=16  ,      lowercase=3  ,      lowercase=4.0  ,      lowercase=[2, 2, 6, 2]  ,      lowercase=[64, 128, 320, 512]  ,      lowercase=[7, 3, 3, 3]  ,      lowercase=[4, 2, 2, 2]  ,      lowercase=[2, 1, 1, 1]  ,      lowercase=4  ,      lowercase=0.0  ,      lowercase="gelu"  ,      lowercase=True  ,      lowercase=1E-5  ,      lowercase=0.02  ,      **lowercase  ,      ):
							_lowerCamelCase     :			Optional[int]    =    num_channels
							_lowerCamelCase     :			Dict    =    patch_size
							_lowerCamelCase     :			List[str]    =    stride
							_lowerCamelCase     :			Optional[int]    =    padding
							_lowerCamelCase     :			List[str]    =    pool_size
							_lowerCamelCase     :			Any    =    hidden_sizes
							_lowerCamelCase     :			List[Any]    =    mlp_ratio
							_lowerCamelCase     :			Any    =    depths
							_lowerCamelCase     :			Any    =    patch_sizes
							_lowerCamelCase     :			str    =    strides
							_lowerCamelCase     :			Dict    =    num_encoder_blocks
							_lowerCamelCase     :			List[Any]    =    drop_path_rate
							_lowerCamelCase     :			Union[str, Any]    =    hidden_act
							_lowerCamelCase     :			str    =    use_layer_scale
							_lowerCamelCase     :			Any    =    layer_scale_init_value
							_lowerCamelCase     :			str    =    initializer_range
							super().__init__(**lowercase  )






class lowerCAmelCase__	(     lowercase						):






			'''simple docstring'''



			lowerCamelCase__      =			version.parse("""1.11"""						)
			@property
			def 					A_    (  self  ):
							return OrderedDict(
							    [
							        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
							    ]  )






			@property
			def 					A_    (  self  ):
							return 2E-3


def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    str = "The quick brown fox jumps over the lazy dog"	,     ):



     '''simple docstring'''





     lowercase__    :   str      =       set()

     # Replace all the whitespace in our sentence
     lowercase__    :   Tuple      =       input_str.replace(' '	,     ''			)
     for alpha in input_str:
          if "a" <= alpha.lower() <= "z":
               frequency.add(alpha.lower()			)
     return len(SCREAMING_SNAKE_CASE_			) == 26

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    str = "The quick brown fox jumps over the lazy dog"	,     ):



     '''simple docstring'''





     lowercase__    :   Dict      =       [False] * 26
     for char in input_str:
          if char.islower():
               lowercase__    :   List[Any]      =       True
          elif char.isupper():
               lowercase__    :   Optional[Any]      =       True
     return all(SCREAMING_SNAKE_CASE_			)

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    str = "The quick brown fox jumps over the lazy dog"	,     ):



     '''simple docstring'''





     return len({char for char in input_str.lower() if char.isalpha()}			) == 26

def 	snake_case__			(    ):



     '''simple docstring'''





     from timeit import timeit

     lowercase__    :   Union[str, Any]      =       'from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest'
     print(timeit('is_pangram()'	,     setup=SCREAMING_SNAKE_CASE_			)			)
     print(timeit('is_pangram_faster()'	,     setup=SCREAMING_SNAKE_CASE_			)			)
     print(timeit('is_pangram_fastest()'	,     setup=SCREAMING_SNAKE_CASE_			)			)
     # 5.348480500048026, 2.6477354579837993, 1.8470395830227062
     # 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       benchmark()

