

'''simple docstring'''
from typing import TYPE_CHECKING

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


lowerCamelCase :      Tuple					 =     {
    "configuration_maskformer": ["MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "MaskFormerConfig"],
    "configuration_maskformer_swin": ["MaskFormerSwinConfig"],
}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase :      List[str]					 =     ["MaskFormerFeatureExtractor"]
     lowerCamelCase :      str					 =     ["MaskFormerImageProcessor"]


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase :      int					 =     [
         "MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
         "MaskFormerForInstanceSegmentation",
         "MaskFormerModel",
         "MaskFormerPreTrainedModel",
     ]
     lowerCamelCase :      List[str]					 =     [
         "MaskFormerSwinBackbone",
         "MaskFormerSwinModel",
         "MaskFormerSwinPreTrainedModel",
     ]

if TYPE_CHECKING:
     from .configuration_maskformer import MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskFormerConfig
     from .configuration_maskformer_swin import MaskFormerSwinConfig

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .feature_extraction_maskformer import MaskFormerFeatureExtractor
          from .image_processing_maskformer import MaskFormerImageProcessor
     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_maskformer import (
              MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
              MaskFormerForInstanceSegmentation,
              MaskFormerModel,
              MaskFormerPreTrainedModel,
          )
          from .modeling_maskformer_swin import (
              MaskFormerSwinBackbone,
              MaskFormerSwinModel,
              MaskFormerSwinPreTrainedModel,
          )


else:
     import sys

     lowerCamelCase :      int					 =     _LazyModule(__name__, globals()["__file__"], _import_structure)





'''simple docstring'''





def    _SCREAMING_SNAKE_CASE  (       UpperCamelCase = "The quick brown fox jumps over the lazy dog"							,    ):



    """simple docstring"""





    lowerCAmelCase__ :  str							      =					set()

    # Replace all the whitespace in our sentence
    lowerCAmelCase__ :  Tuple							      =					input_str.replace(""" """							,    """"""			)
    for alpha in input_str:
        if "a" <= alpha.lower() <= "z":
            frequency.add(alpha.lower()			)
    return len(UpperCamelCase			) == 26
def    _SCREAMING_SNAKE_CASE  (       UpperCamelCase = "The quick brown fox jumps over the lazy dog"							,    ):



    """simple docstring"""





    lowerCAmelCase__ :  Any							      =					[False] * 26
    for char in input_str:
        if char.islower():
            lowerCAmelCase__ :  Optional[Any]							      =					True
        elif char.isupper():
            lowerCAmelCase__ :  Any							      =					True
    return all(UpperCamelCase			)
def    _SCREAMING_SNAKE_CASE  (       UpperCamelCase = "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    _SCREAMING_SNAKE_CASE  (       ):



    """simple docstring"""





    from timeit import timeit

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


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 benchmark()


