




from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional

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


if TYPE_CHECKING:
     from ... import FeatureExtractionMixin, TensorType

_UpperCAmelCase	:						List[str]			=     logging.get_logger(__name__)

_UpperCAmelCase	:						Union[str, Any]			=     {
    "openai/imagegpt-small": "",
    "openai/imagegpt-medium": "",
    "openai/imagegpt-large": "",
}




class    __lowerCAmelCase       (							lowerCAmelCase):

       '''simple docstring'''





       _a 					=						'''imagegpt'''
       _a 					=						['''past_key_values''']
       _a 					=						{
           '''hidden_size''': '''n_embd''',
           '''max_position_embeddings''': '''n_positions''',
           '''num_attention_heads''': '''n_head''',
           '''num_hidden_layers''': '''n_layer''',
       }






       def __init__(   self:					Optional[int]       ,					_lowerCAmelCase:					str=5_12 + 1       ,					_lowerCAmelCase:					int=32 * 32       ,					_lowerCAmelCase:					Optional[int]=5_12       ,					_lowerCAmelCase:					Tuple=24       ,					_lowerCAmelCase:					List[str]=8       ,					_lowerCAmelCase:					Any=None       ,					_lowerCAmelCase:					List[Any]="quick_gelu"       ,					_lowerCAmelCase:					Union[str, Any]=0.1       ,					_lowerCAmelCase:					Optional[Any]=0.1       ,					_lowerCAmelCase:					List[Any]=0.1       ,					_lowerCAmelCase:					Tuple=1e-5       ,					_lowerCAmelCase:					Dict=0.02       ,					_lowerCAmelCase:					Any=True       ,					_lowerCAmelCase:					Any=True       ,					_lowerCAmelCase:					str=False       ,					_lowerCAmelCase:					List[str]=False       ,					_lowerCAmelCase:					Optional[Any]=False       ,					**_lowerCAmelCase:					List[Any]       ,					):
         lowercase    :Any      	=						vocab_size
         lowercase    :int      	=						n_positions
         lowercase    :str      	=						n_embd
         lowercase    :int      	=						n_layer
         lowercase    :int      	=						n_head
         lowercase    :str      	=						n_inner
         lowercase    :int      	=						activation_function
         lowercase    :List[str]      	=						resid_pdrop
         lowercase    :List[str]      	=						embd_pdrop
         lowercase    :Union[str, Any]      	=						attn_pdrop
         lowercase    :Any      	=						layer_norm_epsilon
         lowercase    :Tuple      	=						initializer_range
         lowercase    :Any      	=						scale_attn_weights
         lowercase    :Any      	=						use_cache
         lowercase    :str      	=						scale_attn_by_inverse_layer_idx
         lowercase    :List[str]      	=						reorder_and_upcast_attn
         lowercase    :List[Any]      	=						tie_word_embeddings

         super().__init__(tie_word_embeddings=_lowerCAmelCase       ,					**_lowerCAmelCase				)







class    __lowerCAmelCase       (							lowerCAmelCase):

       '''simple docstring'''





       @property
       def 					SCREAMING_SNAKE_CASE    (   self:					List[Any]				):
         return OrderedDict(
             [
                 ("input_ids", {0: "batch", 1: "sequence"}),
             ]				)






       def 					SCREAMING_SNAKE_CASE    (   self:					Tuple       ,					_lowerCAmelCase:					"FeatureExtractionMixin"       ,					_lowerCAmelCase:					int = 1       ,					_lowerCAmelCase:					int = -1       ,					_lowerCAmelCase:					bool = False       ,					_lowerCAmelCase:					Optional["TensorType"] = None       ,					_lowerCAmelCase:					int = 3       ,					_lowerCAmelCase:					int = 32       ,					_lowerCAmelCase:					int = 32       ,					):
         lowercase    :Union[str, Any]      	=						self._generate_dummy_images(_lowerCAmelCase       ,					_lowerCAmelCase       ,					_lowerCAmelCase       ,					_lowerCAmelCase				)
         lowercase    :int      	=						dict(preprocessor(images=_lowerCAmelCase       ,					return_tensors=_lowerCAmelCase				)				)

         return inputs









import string



def       UpperCAmelCase__  (     lowerCamelCase   ):
  lowercase    :Optional[int]      	=						""
  for i in sequence:
    lowercase    :Optional[Any]      	=						ord(lowerCamelCase   )
    if 65 <= extract <= 90:
      output += chr(155 - extract   )
    elif 97 <= extract <= 122:
      output += chr(219 - extract   )
    else:
      output += i
  return output



def       UpperCAmelCase__  (     lowerCamelCase   ):
  lowercase    :Union[str, Any]      	=						string.ascii_letters
  lowercase    :Dict      	=						string.ascii_lowercase[::-1] + string.ascii_uppercase[::-1]
  return "".join(
      letters_reversed[letters.index(lowerCamelCase   )] if c in letters else c for c in sequence   )



def       UpperCAmelCase__  (     ):
  from timeit import timeit

  print("Running performance benchmarks..."   )
  lowercase    :Dict      	=						"from string import printable ; from __main__ import atbash, atbash_slow"
  print(F"> atbash_slow(): {timeit('atbash_slow(printable)',			setup=lowerCamelCase   )} seconds"   )
  print(F">      atbash(): {timeit('atbash(printable)',			setup=lowerCamelCase   )} seconds"   )


if __name__ == "__main__":
     for example in ("ABCDEFGH", "123GGjj", "testStringtest", "with space"):
          print(f'''{example} encrypted in atbash: {atbash(example)}''')
     benchmark()



