





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

_lowerCAmelCase				:   str						       =						logging.get_logger(__name__)

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


class        __magic_name__	(				lowerCamelCase__				):





     """simple docstring"""



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



     def __init__(				self							:Optional[Any]      ,   snake_case							:Dict=512 + 1      ,   snake_case							:int=32 * 32      ,   snake_case							:Dict=512      ,   snake_case							:Any=24      ,   snake_case							:List[Any]=8      ,   snake_case							:Tuple=None      ,   snake_case							:Any="quick_gelu"      ,   snake_case							:Dict=0.1      ,   snake_case							:List[str]=0.1      ,   snake_case							:Any=0.1      ,   snake_case							:Optional[Any]=1e-5      ,   snake_case							:Union[str, Any]=0.02      ,   snake_case							:str=True      ,   snake_case							:int=True      ,   snake_case							:int=False      ,   snake_case							:int=False      ,   snake_case							:Union[str, Any]=False      ,   **snake_case							:Dict      ,   ):





        '''simple docstring'''




        A_       :					Optional[int]        =      vocab_size
        A_       :					List[str]        =      n_positions
        A_       :					Dict        =      n_embd
        A_       :					Tuple        =      n_layer
        A_       :					List[Any]        =      n_head
        A_       :					Optional[Any]        =      n_inner
        A_       :					Union[str, Any]        =      activation_function
        A_       :					Optional[int]        =      resid_pdrop
        A_       :					Tuple        =      embd_pdrop
        A_       :					Dict        =      attn_pdrop
        A_       :					List[str]        =      layer_norm_epsilon
        A_       :					Any        =      initializer_range
        A_       :					int        =      scale_attn_weights
        A_       :					int        =      use_cache
        A_       :					Any        =      scale_attn_by_inverse_layer_idx
        A_       :					Union[str, Any]        =      reorder_and_upcast_attn
        A_       :					str        =      tie_word_embeddings

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




class        __magic_name__	(				lowerCamelCase__				):





     """simple docstring"""



     @property
     def     SCREAMING_SNAKE_CASE		(				self							:Dict	):





        '''simple docstring'''




        return OrderedDict(
            [
                ("input_ids", {0: "batch", 1: "sequence"}),
            ]	)





     def     SCREAMING_SNAKE_CASE		(				self							:List[Any]      ,   snake_case							:"FeatureExtractionMixin"      ,   snake_case							:int = 1      ,   snake_case							:int = -1      ,   snake_case							:bool = False      ,   snake_case							:Optional["TensorType"] = None      ,   snake_case							:int = 3      ,   snake_case							:int = 32      ,   snake_case							:int = 32      ,   ):





        '''simple docstring'''




        A_       :					Dict        =      self._generate_dummy_images(snake_case      ,   snake_case      ,   snake_case      ,   snake_case	)
        A_       :					Dict        =      dict(preprocessor(images=snake_case      ,   return_tensors=snake_case	)	)

        return inputs







from timeit import timeit

_lowerCAmelCase				:   Tuple						       =						{
    '''MALAYALAM''': True,
    '''String''': False,
    '''rotor''': True,
    '''level''': True,
    '''A''': True,
    '''BB''': True,
    '''ABC''': False,
    '''amanaplanacanalpanama''': True,  # "a man a plan a canal panama"
}
# Ensure our test data is valid
assert all((key == key[::-1]) is value for key, value in test_data.items())

def   __snake_case    (       _lowerCAmelCase			:			str						)			->    bool:
   A_       :					List[str]        =      0
   A_       :					str        =      len(_lowerCAmelCase						) - 1
   while start_i < end_i:
      if s[start_i] == s[end_i]:
         start_i += 1
         end_i -= 1
      else:
         return False
   return True

def   __snake_case    (       _lowerCAmelCase			:			str						)			->    bool:
   A_       :					int        =      len(_lowerCAmelCase						) // 2
   A_       :					Union[str, Any]        =      len(_lowerCAmelCase						)

   # We need to traverse till half of the length of string
   # as we can get access of the i'th last element from
   # i'th index.
   # eg: [0,1,2,3,4,5] => 4th index can be accessed
   # with the help of 1st index (i==n-i-1)
   # where n is length of string
   return all(s[i] == s[n - i - 1] for i in range(_lowerCAmelCase						)						)

def   __snake_case    (       _lowerCAmelCase			:			str						)			->    bool:
   if len(_lowerCAmelCase						) <= 2:
      return True
   if s[0] == s[len(_lowerCAmelCase						) - 1]:
      return is_palindrome_recursive(s[1:-1]						)
   else:
      return False

def   __snake_case    (       _lowerCAmelCase			:			str						)			->    bool:
   return s == s[::-1]

def   __snake_case    (       _lowerCAmelCase			:			str						)			->    None:
   A_       :					int        =      f"all({name}(key) is value for key, value in test_data.items())"
   A_       :					List[str]        =      f"from __main__ import test_data, {name}"
   A_       :					str        =      500000
   A_       :					List[str]        =      timeit(stmt=_lowerCAmelCase					,					setup=_lowerCAmelCase					,					number=_lowerCAmelCase						)
   print(f"{name:<35} finished {number:,} runs in {result:.5f} seconds"						)


if __name__ == "__main__":
 for key, value in test_data.items():
  assert is_palindrome(key) is is_palindrome_recursive(key)
  assert is_palindrome(key) is is_palindrome_slice(key)
  print(F'''{key:21} {value}''')
 print('''a man a plan a canal panama''')

 # finished 500,000 runs in 0.46793 seconds
 benchmark_function('''is_palindrome_slice''')
 # finished 500,000 runs in 0.85234 seconds
 benchmark_function('''is_palindrome''')
 # finished 500,000 runs in 1.32028 seconds
 benchmark_function('''is_palindrome_recursive''')
 # finished 500,000 runs in 2.08679 seconds
 benchmark_function('''is_palindrome_traversal''')
