






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

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

SCREAMING_SNAKE_CASE__      :			Dict							=		{
    """openai/imagegpt-small""": """""",
    """openai/imagegpt-medium""": """""",
    """openai/imagegpt-large""": """""",
}
class 						lowerCamelCase_				(      lowerCamelCase ):
				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       ,					__lowerCAmelCase=5_1_2 + 1       ,					__lowerCAmelCase=3_2 * 3_2       ,					__lowerCAmelCase=5_1_2       ,					__lowerCAmelCase=2_4       ,					__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"""
								__magic_name__		:int        =      vocab_size
								__magic_name__		:Any        =      n_positions
								__magic_name__		:str        =      n_embd
								__magic_name__		:List[Any]        =      n_layer
								__magic_name__		:Dict        =      n_head
								__magic_name__		:Dict        =      n_inner
								__magic_name__		:List[Any]        =      activation_function
								__magic_name__		:Optional[int]        =      resid_pdrop
								__magic_name__		:str        =      embd_pdrop
								__magic_name__		:Dict        =      attn_pdrop
								__magic_name__		:List[Any]        =      layer_norm_epsilon
								__magic_name__		:Any        =      initializer_range
								__magic_name__		:str        =      scale_attn_weights
								__magic_name__		:Dict        =      use_cache
								__magic_name__		:Optional[int]        =      scale_attn_by_inverse_layer_idx
								__magic_name__		:Optional[Any]        =      reorder_and_upcast_attn
								__magic_name__		:Any        =      tie_word_embeddings

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







class 						lowerCamelCase_				(      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 = 3_2       ,					__lowerCAmelCase = 3_2       ,					):
								"""simple docstring"""
								__magic_name__		:List[str]        =      self._generate_dummy_images(__lowerCAmelCase       ,					__lowerCAmelCase       ,					__lowerCAmelCase       ,					__lowerCAmelCase     )
								__magic_name__		:Optional[int]        =      dict(preprocessor(images=__lowerCAmelCase       ,					return_tensors=__lowerCAmelCase     )     )

								return inputs














from typing import List

from .keymap import KEYMAP, get_character

def      __lowercase					( snake_case ):







				"""simple docstring"""






				def decorator(snake_case ):
								__magic_name__		:int        =      getattr(snake_case,  '''handle_key''',  [] )
								handle += [key]
								setattr(snake_case,  '''handle_key''',  snake_case )
								return func

				return decorator

def      __lowercase					( *snake_case ):







				"""simple docstring"""






				def decorator(snake_case ):
								__magic_name__		:Union[str, Any]        =      getattr(snake_case,  '''handle_key''',  [] )
								handle += keys
								setattr(snake_case,  '''handle_key''',  snake_case )
								return func

				return decorator
class 						lowerCamelCase_				(      lowerCamelCase ):







				def __new__(						cls       ,					__lowerCAmelCase       ,					__lowerCAmelCase       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								__magic_name__		:Optional[int]        =      super().__new__(cls       ,					__lowerCAmelCase       ,					__lowerCAmelCase       ,					__lowerCAmelCase     )
								if not hasattr(__lowerCAmelCase       ,					'''key_handler'''     ):
												setattr(__lowerCAmelCase       ,					'''key_handler'''       ,					{}     )
								setattr(__lowerCAmelCase       ,					'''handle_input'''       ,					KeyHandler.handle_input     )

								for value in attrs.values():
												__magic_name__		:Dict        =      getattr(__lowerCAmelCase       ,					'''handle_key'''       ,					[]     )
												for key in handled_keys:
																__magic_name__		:List[Any]        =      value
								return new_cls







				@staticmethod
				def 			A	(						cls     ):
								"""simple docstring"""
								__magic_name__		:Tuple        =      get_character()
								if char != KEYMAP["undefined"]:
												__magic_name__		:Dict        =      ord(__lowerCAmelCase     )
								__magic_name__		:str        =      cls.key_handler.get(__lowerCAmelCase     )
								if handler:
												__magic_name__		:Optional[Any]        =      char
												return handler(cls     )
								else:
												return None







def      __lowercase					( cls ):







				"""simple docstring"""






				return KeyHandler(cls.__name__,  cls.__bases__,  cls.__dict__.copy() )






