
import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_gpta import GPTaTokenizer


if TYPE_CHECKING:
						from transformers.pipelines.conversational import Conversation


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

_snake_case				:   str     =				{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

_snake_case				:   Optional[Any]     =				{
    "vocab_file": {
        "gpt2": "https://huggingface.co/gpt2/resolve/main/vocab.json",
        "gpt2-medium": "https://huggingface.co/gpt2-medium/resolve/main/vocab.json",
        "gpt2-large": "https://huggingface.co/gpt2-large/resolve/main/vocab.json",
        "gpt2-xl": "https://huggingface.co/gpt2-xl/resolve/main/vocab.json",
        "distilgpt2": "https://huggingface.co/distilgpt2/resolve/main/vocab.json",
    },
    "merges_file": {
        "gpt2": "https://huggingface.co/gpt2/resolve/main/merges.txt",
        "gpt2-medium": "https://huggingface.co/gpt2-medium/resolve/main/merges.txt",
        "gpt2-large": "https://huggingface.co/gpt2-large/resolve/main/merges.txt",
        "gpt2-xl": "https://huggingface.co/gpt2-xl/resolve/main/merges.txt",
        "distilgpt2": "https://huggingface.co/distilgpt2/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "gpt2": "https://huggingface.co/gpt2/resolve/main/tokenizer.json",
        "gpt2-medium": "https://huggingface.co/gpt2-medium/resolve/main/tokenizer.json",
        "gpt2-large": "https://huggingface.co/gpt2-large/resolve/main/tokenizer.json",
        "gpt2-xl": "https://huggingface.co/gpt2-xl/resolve/main/tokenizer.json",
        "distilgpt2": "https://huggingface.co/distilgpt2/resolve/main/tokenizer.json",
    },
}

_snake_case				:   List[Any]     =				{
    "gpt2": 1_024,
    "gpt2-medium": 1_024,
    "gpt2-large": 1_024,
    "gpt2-xl": 1_024,
    "distilgpt2": 1_024,
}


class 			lowerCAmelCase (				__UpperCAmelCase			):
		a							:					Union[str, Any]       =					VOCAB_FILES_NAMES
		a							:					Optional[Any]       =					PRETRAINED_VOCAB_FILES_MAP
		a							:					Optional[Any]       =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		a							:					Union[str, Any]       =					["""input_ids""", """attention_mask"""]
		a							:					List[Any]       =					GPTaTokenizer




		def __init__(				self					,						UpperCamelCase=None					,						UpperCamelCase=None					,						UpperCamelCase=None					,						UpperCamelCase="<|endoftext|>"					,						UpperCamelCase="<|endoftext|>"					,						UpperCamelCase="<|endoftext|>"					,						UpperCamelCase=False					,						**UpperCamelCase					,						):
								super().__init__(
								    lowerCAmelCase_					,						lowerCAmelCase_					,						tokenizer_file=lowerCAmelCase_					,						unk_token=lowerCAmelCase_					,						bos_token=lowerCAmelCase_					,						eos_token=lowerCAmelCase_					,						add_prefix_space=lowerCAmelCase_					,						**lowerCAmelCase_					,						)

								_SCREAMING_SNAKE_CASE				= kwargs.pop("add_bos_token"					,						lowerCAmelCase_      )

								_SCREAMING_SNAKE_CASE				= json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()      )
								if pre_tok_state.get("add_prefix_space"					,						lowerCAmelCase_      ) != add_prefix_space:
														_SCREAMING_SNAKE_CASE				= getattr(lowerCAmelCase_					,						pre_tok_state.pop("type"      )      )
														_SCREAMING_SNAKE_CASE				= add_prefix_space
														_SCREAMING_SNAKE_CASE				= pre_tok_class(**lowerCAmelCase_      )

								_SCREAMING_SNAKE_CASE				= add_prefix_space




		def     lowercase       (				self					,						*UpperCamelCase					,						**UpperCamelCase      ):
								_SCREAMING_SNAKE_CASE				= kwargs.get("is_split_into_words"					,						lowerCAmelCase_      )
								assert self.add_prefix_space or not is_split_into_words, (
								    F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
								    "to use it with pretokenized inputs."
								)

								return super()._batch_encode_plus(*lowerCAmelCase_					,						**lowerCAmelCase_      )




		def     lowercase       (				self					,						*UpperCamelCase					,						**UpperCamelCase      ):
								_SCREAMING_SNAKE_CASE				= kwargs.get("is_split_into_words"					,						lowerCAmelCase_      )

								assert self.add_prefix_space or not is_split_into_words, (
								    F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
								    "to use it with pretokenized inputs."
								)

								return super()._encode_plus(*lowerCAmelCase_					,						**lowerCAmelCase_      )




		def     lowercase       (				self					,						UpperCamelCase					,						UpperCamelCase = None      ):
								_SCREAMING_SNAKE_CASE				= self._tokenizer.model.save(lowerCAmelCase_					,						name=lowerCAmelCase_      )
								return tuple(lowerCAmelCase_      )




		def     lowercase       (				self					,						UpperCamelCase      ):
								_SCREAMING_SNAKE_CASE				= []
								for is_user, text in conversation.iter_texts():
														input_ids.extend(self.encode(lowerCAmelCase_					,						add_special_tokens=lowerCAmelCase_      ) + [self.eos_token_id]      )

								if len(lowerCAmelCase_      ) > self.model_max_length:
														_SCREAMING_SNAKE_CASE				= input_ids[-self.model_max_length :]
								return input_ids

'''simple docstring'''







import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


_snake_case				:   List[Any]     =				logging.get_logger(__name__)


class 			lowerCAmelCase (				__UpperCAmelCase			):




		def __init__(				self					,						*UpperCamelCase					,						**UpperCamelCase      ):
								warnings.warn(
								    "The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
								    " use DPTImageProcessor instead."					,						UpperCamelCase					,						)
								super().__init__(*UpperCamelCase					,						**UpperCamelCase      )