"""simple docstring"""






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       :			Tuple   	=logging.get_logger(__name__)

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





class 					_A		(			lowerCAmelCase      ):
      snake_case__     :  Union[str, Any]				    =      'imagegpt'
      snake_case__     :  Dict				    =      ['past_key_values']
      snake_case__     :  Any				    =      {
          '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=0.0_2						,			__lowerCAmelCase=True						,			__lowerCAmelCase=True						,			__lowerCAmelCase=False						,			__lowerCAmelCase=False						,			__lowerCAmelCase=False						,			**__lowerCAmelCase						,			):







            """simple docstring"""



            lowercase								=      vocab_size
            lowercase								=      n_positions
            lowercase								=      n_embd
            lowercase								=      n_layer
            lowercase								=      n_head
            lowercase								=      n_inner
            lowercase								=      activation_function
            lowercase								=      resid_pdrop
            lowercase								=      embd_pdrop
            lowercase								=      attn_pdrop
            lowercase								=      layer_norm_epsilon
            lowercase								=      initializer_range
            lowercase								=      scale_attn_weights
            lowercase								=      use_cache
            lowercase								=      scale_attn_by_inverse_layer_idx
            lowercase								=      reorder_and_upcast_attn
            lowercase								=      tie_word_embeddings

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






class 					_A		(			lowerCAmelCase      ):

      @property
      def 							A__			(		self		):







            """simple docstring"""



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







      def 							A__			(		self						,			__lowerCAmelCase						,			__lowerCAmelCase = 1						,			__lowerCAmelCase = -1						,			__lowerCAmelCase = False						,			__lowerCAmelCase = None						,			__lowerCAmelCase = 3						,			__lowerCAmelCase = 32						,			__lowerCAmelCase = 32						,			):







            """simple docstring"""



            lowercase								=      self._generate_dummy_images(__lowerCAmelCase						,			__lowerCAmelCase						,			__lowerCAmelCase						,			__lowerCAmelCase		)
            lowercase								=      dict(preprocessor(images=__lowerCAmelCase						,			return_tensors=__lowerCAmelCase		)		)

            return inputs




"""simple docstring"""






from __future__ import annotations


def      UpperCAmelCase__			(							lowerCAmelCase__	:dict   ,						lowerCAmelCase__	:str						)					->       set[str]:
      '''simple docstring'''


      lowercase				,				lowercase								=      set(lowerCAmelCase__						), [start]

      while stack:
            lowercase								=      stack.pop()
            explored.add(lowerCAmelCase__						)
            # Differences from BFS:
            # 1) pop last element instead of first one
            # 2) add adjacent elements to stack without exploring them
            for adj in reversed(graph[v]						):
                  if adj not in explored:
                        stack.append(lowerCAmelCase__						)
      return explored


__lowerCAmelCase       :			str   	={
    """A""": ["""B""", """C""", """D"""],
    """B""": ["""A""", """D""", """E"""],
    """C""": ["""A""", """F"""],
    """D""": ["""B""", """D"""],
    """E""": ["""B""", """F"""],
    """F""": ["""C""", """E""", """G"""],
    """G""": ["""F"""],
}

if __name__ == "__main__":
       import doctest

       doctest.testmod()
       print(depth_first_search(G, """A"""))



