






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

A_       :Any       =						logging.get_logger(__name__)

A_       :List[str]       =						{
    '''openai/imagegpt-small''': '''''',
    '''openai/imagegpt-medium''': '''''',
    '''openai/imagegpt-large''': '''''',
}




class 				__A     (			a ):





				"""simple docstring"""







				UpperCamelCase__ :      List[str]			 ="""imagegpt"""
				UpperCamelCase__ :      int			 =["""past_key_values"""]
				UpperCamelCase__ :      Optional[int]			 ={
				    """hidden_size""": """n_embd""",
				    """max_position_embeddings""": """n_positions""",
				    """num_attention_heads""": """n_head""",
				    """num_hidden_layers""": """n_layer""",
				}


				def __init__( self							,  lowerCamelCase__=512 + 1							,  lowerCamelCase__=32 * 32							,  lowerCamelCase__=512							,  lowerCamelCase__=24							,  lowerCamelCase__=8							,  lowerCamelCase__=None							,  lowerCamelCase__="quick_gelu"							,  lowerCamelCase__=0.1							,  lowerCamelCase__=0.1							,  lowerCamelCase__=0.1							,  lowerCamelCase__=1E-5							,  lowerCamelCase__=0.02							,  lowerCamelCase__=True							,  lowerCamelCase__=True							,  lowerCamelCase__=False							,  lowerCamelCase__=False							,  lowerCamelCase__=False							,  **lowerCamelCase__							,  ):




									"""simple docstring"""

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

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




class 				__A     (			a ):





				"""simple docstring"""







				@property
				def       __lowercase							( self    ):




									"""simple docstring"""

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







				def       __lowercase							( self							,  lowerCamelCase__							,  lowerCamelCase__ = 1							,  lowerCamelCase__ = -1							,  lowerCamelCase__ = False							,  lowerCamelCase__ = None							,  lowerCamelCase__ = 3							,  lowerCamelCase__ = 32							,  lowerCamelCase__ = 32							,  ):




									"""simple docstring"""

									__UpperCamelCase      :					Optional[Any]       		=self._generate_dummy_images(lowerCamelCase__							,  lowerCamelCase__							,  lowerCamelCase__							,  lowerCamelCase__    )
									__UpperCamelCase      :					Any       		=dict(preprocessor(images=lowerCamelCase__							,  return_tensors=lowerCamelCase__    )    )

									return inputs






'''simple docstring'''





from collections.abc import Generator
from math import sin




def lowerCAmelCase  (__A):



     """simple docstring"""



     if len(__A) != 32:
          raise ValueError('''Input must be of length 32''')

     _a      =  b''''''
     for i in [3, 2, 1, 0]:
          little_endian += string_aa[8 * i : 8 * i + 8]
     return little_endian




def lowerCAmelCase  (__A):



     """simple docstring"""



     if i < 0:
          raise ValueError('''Input must be non-negative''')

     _a      =  format(__A  ,	'''08x''')[-8:]
     _a      =  b''''''
     for i in [3, 2, 1, 0]:
          little_endian_hex += hex_rep[2 * i : 2 * i + 2].encode('''utf-8''')
     return little_endian_hex




def lowerCAmelCase  (__A):



     """simple docstring"""



     _a      =  b''''''
     for char in message:
          bit_string += format(__A  ,	'''08b''').encode('''utf-8''')
     _a      =  format(len(__A)  ,	'''064b''').encode('''utf-8''')

     # Pad bit_string to a multiple of 512 chars
     bit_string += b"1"
     while len(__A) % 512 != 448:
          bit_string += b"0"
     bit_string += to_little_endian(start_len[32:]) + to_little_endian(start_len[:32])

     return bit_string




def lowerCAmelCase  (__A):



     """simple docstring"""



     if len(__A) % 512 != 0:
          raise ValueError('''Input must have length that\'s a multiple of 512''')

     for pos in range(0  ,	len(__A)  ,	512):
          _a      =  bit_string[pos : pos + 512]
          _a      =  []
          for i in range(0  ,	512  ,	32):
               block_words.append(int(to_little_endian(block[i : i + 32])  ,	2))
          yield block_words




def lowerCAmelCase  (__A):



     """simple docstring"""



     if i < 0:
          raise ValueError('''Input must be non-negative''')

     _a      =  format(__A  ,	'''032b''')
     _a      =  ''''''
     for c in i_str:
          new_str += "1" if c == "0" else "0"
     return int(__A  ,	2)




def lowerCAmelCase  (__A  ,	__A):



     """simple docstring"""



     return (a + b) % 2**32




def lowerCAmelCase  (__A  ,	__A):



     """simple docstring"""



     if i < 0:
          raise ValueError('''Input must be non-negative''')
     if shift < 0:
          raise ValueError('''Shift must be non-negative''')
     return ((i << shift) ^ (i >> (32 - shift))) % 2**32




def lowerCAmelCase  (__A):



     """simple docstring"""



     _a      =  preprocess(__A)

     _a      =  [int(2**32 * abs(sin(i + 1))) for i in range(64)]

     # Starting states
     _a      =  0x67_452_301
     _a      =  0xEF_CDA_B89
     _a      =  0x98_BAD_CFE
     _a      =  0x10_325_476

     _a      =  [
         7,
         12,
         17,
         22,
         7,
         12,
         17,
         22,
         7,
         12,
         17,
         22,
         7,
         12,
         17,
         22,
         5,
         9,
         14,
         20,
         5,
         9,
         14,
         20,
         5,
         9,
         14,
         20,
         5,
         9,
         14,
         20,
         4,
         11,
         16,
         23,
         4,
         11,
         16,
         23,
         4,
         11,
         16,
         23,
         4,
         11,
         16,
         23,
         6,
         10,
         15,
         21,
         6,
         10,
         15,
         21,
         6,
         10,
         15,
         21,
         6,
         10,
         15,
         21,
     ]

     # Process bit string in chunks, each with 16 32-char words
     for block_words in get_block_words(__A):
          _a      =  aa
          _a      =  ba
          _a      =  ca
          _a      =  da

          # Hash current chunk
          for i in range(64):
               if i <= 15:
                    # f = (b & c) | (not_32(b) & d)     # Alternate definition for f
                    _a      =  d ^ (b & (c ^ d))
                    _a      =  i
               elif i <= 31:
                    # f = (d & b) | (not_32(d) & c)     # Alternate definition for f
                    _a      =  c ^ (d & (b ^ c))
                    _a      =  (5 * i + 1) % 16
               elif i <= 47:
                    _a      =  b ^ c ^ d
                    _a      =  (3 * i + 5) % 16
               else:
                    _a      =  c ^ (b | not_aa(__A))
                    _a      =  (7 * i) % 16
               _a      =  (f + a + added_consts[i] + block_words[g]) % 2**32
               _a      =  d
               _a      =  c
               _a      =  b
               _a      =  sum_aa(__A  ,	left_rotate_aa(__A  ,	shift_amounts[i]))

          # Add hashed chunk to running total
          _a      =  sum_aa(__A  ,	__A)
          _a      =  sum_aa(__A  ,	__A)
          _a      =  sum_aa(__A  ,	__A)
          _a      =  sum_aa(__A  ,	__A)

     _a      =  reformat_hex(__A) + reformat_hex(__A) + reformat_hex(__A) + reformat_hex(__A)
     return digest


if __name__ == "__main__":
  import doctest

  doctest.testmod()



