
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     =  logging.get_logger(__name__)

_A     =  {
    "openai/imagegpt-small": "",
    "openai/imagegpt-medium": "",
    "openai/imagegpt-large": "",
}





class 			_lowerCAmelCase      (			__a ):
				_lowercase    	='''imagegpt'''
				_lowercase    	=['''past_key_values''']
				_lowercase    	={
				    '''hidden_size''': '''n_embd''',
				    '''max_position_embeddings''': '''n_positions''',
				    '''num_attention_heads''': '''n_head''',
				    '''num_hidden_layers''': '''n_layer''',
				}




				def __init__(      self       ,       _UpperCamelCase=512 + 1       ,       _UpperCamelCase=32 * 32       ,       _UpperCamelCase=512       ,       _UpperCamelCase=24       ,       _UpperCamelCase=8       ,       _UpperCamelCase=None       ,       _UpperCamelCase="quick_gelu"       ,       _UpperCamelCase=0.1       ,       _UpperCamelCase=0.1       ,       _UpperCamelCase=0.1       ,       _UpperCamelCase=1e-5       ,       _UpperCamelCase=0.02       ,       _UpperCamelCase=True       ,       _UpperCamelCase=True       ,       _UpperCamelCase=False       ,       _UpperCamelCase=False       ,       _UpperCamelCase=False       ,       **_UpperCamelCase       ,       )       ->   Tuple:
							lowerCAmelCase_      			=			vocab_size
							lowerCAmelCase_      			=			n_positions
							lowerCAmelCase_      			=			n_embd
							lowerCAmelCase_      			=			n_layer
							lowerCAmelCase_      			=			n_head
							lowerCAmelCase_      			=			n_inner
							lowerCAmelCase_      			=			activation_function
							lowerCAmelCase_      			=			resid_pdrop
							lowerCAmelCase_      			=			embd_pdrop
							lowerCAmelCase_      			=			attn_pdrop
							lowerCAmelCase_      			=			layer_norm_epsilon
							lowerCAmelCase_      			=			initializer_range
							lowerCAmelCase_      			=			scale_attn_weights
							lowerCAmelCase_      			=			use_cache
							lowerCAmelCase_      			=			scale_attn_by_inverse_layer_idx
							lowerCAmelCase_      			=			reorder_and_upcast_attn
							lowerCAmelCase_      			=			tie_word_embeddings

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





class 			_lowerCAmelCase      (			__a ):




				@property
				def   __a		(      self  )       ->   Mapping[str, Mapping[int, str]]:
							return OrderedDict(
							    [
							        ("input_ids", {0: "batch", 1: "sequence"}),
							    ]  )




				def   __a		(      self       ,       _UpperCamelCase       ,       _UpperCamelCase = 1       ,       _UpperCamelCase = -1       ,       _UpperCamelCase = False       ,       _UpperCamelCase = None       ,       _UpperCamelCase = 3       ,       _UpperCamelCase = 32       ,       _UpperCamelCase = 32       ,       )       ->   Mapping[str, Any]:
							lowerCAmelCase_      			=			self._generate_dummy_images(_UpperCamelCase       ,       _UpperCamelCase       ,       _UpperCamelCase       ,       _UpperCamelCase  )
							lowerCAmelCase_      			=			dict(preprocessor(images=_UpperCamelCase       ,       return_tensors=_UpperCamelCase  )  )

							return inputs





import itertools
import string
from collections.abc import Generator, Iterable






def      lowerCamelCase__       (       __lowerCAmelCase						:						Iterable[str]					,							__lowerCAmelCase						:						int       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			iter(__lowerCAmelCase       )
			while True:
						lowerCAmelCase_      			=			tuple(itertools.islice(__lowerCAmelCase					,							__lowerCAmelCase       )       )
						if not chunk:
									return
						yield chunk






def      lowerCamelCase__       (       __lowerCAmelCase						:						str       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			"".join([c.upper() for c in dirty if c in string.ascii_letters]       )
			lowerCAmelCase_      			=			""

			if len(__lowerCAmelCase       ) < 2:
						return dirty

			for i in range(len(__lowerCAmelCase       ) - 1       ):
						clean += dirty[i]

						if dirty[i] == dirty[i + 1]:
									clean += "X"

			clean += dirty[-1]

			if len(__lowerCAmelCase       ) & 1:
						clean += "X"

			return clean






def      lowerCamelCase__       (       __lowerCAmelCase						:						str       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			"ABCDEFGHIKLMNOPQRSTUVWXYZ"
			# we're using a list instead of a '2d' array because it makes the math
			# for setting up the table and doing the actual encoding/decoding simpler
			lowerCAmelCase_      			=			[]

			# copy key chars into the table if they are in `alphabet` ignoring duplicates
			for char in key.upper():
						if char not in table and char in alphabet:
									table.append(__lowerCAmelCase       )

    # fill the rest of the table in with the remaining alphabet chars
			for char in alphabet:
						if char not in table:
									table.append(__lowerCAmelCase       )

			return table






def      lowerCamelCase__       (       __lowerCAmelCase						:						str					,							__lowerCAmelCase						:						str       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			generate_table(__lowerCAmelCase       )
			lowerCAmelCase_      			=			prepare_input(__lowerCAmelCase       )
			lowerCAmelCase_      			=			""

			# https://en.wikipedia.org/wiki/Playfair_cipher#Description
			for chara, chara in chunker(__lowerCAmelCase					,							2       ):
						lowerCAmelCase_			,						lowerCAmelCase_      			=			divmod(table.index(__lowerCAmelCase       )					,							5       )
						lowerCAmelCase_			,						lowerCAmelCase_      			=			divmod(table.index(__lowerCAmelCase       )					,							5       )

						if rowa == rowa:
									ciphertext += table[rowa * 5 + (cola + 1) % 5]
									ciphertext += table[rowa * 5 + (cola + 1) % 5]
						elif cola == cola:
									ciphertext += table[((rowa + 1) % 5) * 5 + cola]
									ciphertext += table[((rowa + 1) % 5) * 5 + cola]
						else:  # rectangle
									ciphertext += table[rowa * 5 + cola]
									ciphertext += table[rowa * 5 + cola]

			return ciphertext






def      lowerCamelCase__       (       __lowerCAmelCase						:						str					,							__lowerCAmelCase						:						str       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			generate_table(__lowerCAmelCase       )
			lowerCAmelCase_      			=			""

			# https://en.wikipedia.org/wiki/Playfair_cipher#Description
			for chara, chara in chunker(__lowerCAmelCase					,							2       ):
						lowerCAmelCase_			,						lowerCAmelCase_      			=			divmod(table.index(__lowerCAmelCase       )					,							5       )
						lowerCAmelCase_			,						lowerCAmelCase_      			=			divmod(table.index(__lowerCAmelCase       )					,							5       )

						if rowa == rowa:
									plaintext += table[rowa * 5 + (cola - 1) % 5]
									plaintext += table[rowa * 5 + (cola - 1) % 5]
						elif cola == cola:
									plaintext += table[((rowa - 1) % 5) * 5 + cola]
									plaintext += table[((rowa - 1) % 5) * 5 + cola]
						else:  # rectangle
									plaintext += table[rowa * 5 + cola]
									plaintext += table[rowa * 5 + cola]

			return plaintext



