


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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
    from transformers.pipelines.conversational import Conversation

lowerCAmelCase__   	=				logging.get_logger(__name__)

lowerCAmelCase__   	=				{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

lowerCAmelCase__   	=				{
    'vocab_file': {
        'microsoft/deberta-base': 'https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json',
        'microsoft/deberta-large': 'https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json',
        'microsoft/deberta-xlarge': 'https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json',
        'microsoft/deberta-base-mnli': 'https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json',
        'microsoft/deberta-large-mnli': 'https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json',
        'microsoft/deberta-xlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'microsoft/deberta-base': 'https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt',
        'microsoft/deberta-large': 'https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt',
        'microsoft/deberta-xlarge': 'https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt',
        'microsoft/deberta-base-mnli': 'https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt',
        'microsoft/deberta-large-mnli': 'https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt',
        'microsoft/deberta-xlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt'
        ),
    },
}

lowerCAmelCase__   	=				{
    'microsoft/deberta-base': 5_12,
    'microsoft/deberta-large': 5_12,
    'microsoft/deberta-xlarge': 5_12,
    'microsoft/deberta-base-mnli': 5_12,
    'microsoft/deberta-large-mnli': 5_12,
    'microsoft/deberta-xlarge-mnli': 5_12,
}

lowerCAmelCase__   	=				{
    'microsoft/deberta-base': {'do_lower_case': False},
    'microsoft/deberta-large': {'do_lower_case': False},
}
def 							_UpperCAmelCase       ()     ->   Union[str, Any]:
       _A   : Tuple       					=				(
           list(range(ord("!"		)       ,							ord("~"		) + 1		)		) + list(range(ord("¡"		)       ,							ord("¬"		) + 1		)		) + list(range(ord("®"		)       ,							ord("ÿ"		) + 1		)		)
       )
       _A   : str       					=				bs[:]
       _A   : Optional[int]       					=				0
       for b in range(2**8		):
              if b not in bs:
                     bs.append(_A		)
                     cs.append(2**8 + n		)
                     n += 1
       _A   : Any       					=				[chr(_A		) for n in cs]
       return dict(zip(_A       ,							_A		)		)
def 							_UpperCAmelCase       (UpperCamelCase__  :						Any		)     ->   Any:
       _A   : Tuple       					=				set()
       _A   : Optional[Any]       					=				word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)		)
              _A   : Optional[Any]       					=				char
       return pairs







class   lowerCAmelCase__ (       lowerCamelCase__):




     '''simple docstring'''
     __SCREAMING_SNAKE_CASE						    =				VOCAB_FILES_NAMES
     __SCREAMING_SNAKE_CASE						    =				PRETRAINED_VOCAB_FILES_MAP
     __SCREAMING_SNAKE_CASE						    =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __SCREAMING_SNAKE_CASE						    =				['input_ids', 'attention_mask', 'token_type_ids']


     def __init__(		self				,		__lowerCamelCase				,		__lowerCamelCase				,		__lowerCamelCase="replace"				,		__lowerCamelCase="[CLS]"				,		__lowerCamelCase="[SEP]"				,		__lowerCamelCase="[SEP]"				,		__lowerCamelCase="[CLS]"				,		__lowerCamelCase="[UNK]"				,		__lowerCamelCase="[PAD]"				,		__lowerCamelCase="[MASK]"				,		__lowerCamelCase=False				,		__lowerCamelCase=False				,		**__lowerCamelCase				,		)    ->       Dict:
            _A   : str       					=				AddedToken(lowercase_				,		lstrip=lowercase_				,		rstrip=lowercase_) if isinstance(lowercase_				,		lowercase_) else bos_token
            _A   : Dict       					=				AddedToken(lowercase_				,		lstrip=lowercase_				,		rstrip=lowercase_) if isinstance(lowercase_				,		lowercase_) else eos_token
            _A   : Any       					=				AddedToken(lowercase_				,		lstrip=lowercase_				,		rstrip=lowercase_) if isinstance(lowercase_				,		lowercase_) else sep_token
            _A   : Union[str, Any]       					=				AddedToken(lowercase_				,		lstrip=lowercase_				,		rstrip=lowercase_) if isinstance(lowercase_				,		lowercase_) else cls_token
            _A   : Dict       					=				AddedToken(lowercase_				,		lstrip=lowercase_				,		rstrip=lowercase_) if isinstance(lowercase_				,		lowercase_) else unk_token
            _A   : List[str]       					=				AddedToken(lowercase_				,		lstrip=lowercase_				,		rstrip=lowercase_) if isinstance(lowercase_				,		lowercase_) else pad_token

            # Mask token behave like a normal word, i.e. include the space before it
            _A   : List[Any]       					=				AddedToken(lowercase_				,		lstrip=lowercase_				,		rstrip=lowercase_) if isinstance(lowercase_				,		lowercase_) else mask_token

            super().__init__(
                errors=lowercase_				,		bos_token=lowercase_				,		eos_token=lowercase_				,		unk_token=lowercase_				,		sep_token=lowercase_				,		cls_token=lowercase_				,		pad_token=lowercase_				,		mask_token=lowercase_				,		add_prefix_space=lowercase_				,		add_bos_token=lowercase_				,		**lowercase_				,		)
            _A   : Optional[int]       					=				add_bos_token

            with open(lowercase_				,		encoding="utf-8") as vocab_handle:
                   _A   : Union[str, Any]       					=				json.load(lowercase_)
            _A   : str       					=				{v: k for k, v in self.encoder.items()}
            _A   : Any       					=				errors  # how to handle errors in decoding
            _A   : Any       					=				bytes_to_unicode()
            _A   : int       					=				{v: k for k, v in self.byte_encoder.items()}
            with open(lowercase_				,		encoding="utf-8") as merges_handle:
                   _A   : Union[str, Any]       					=				merges_handle.read().split("\n")[1:-1]
            _A   : Dict       					=				[tuple(merge.split()) for merge in bpe_merges]
            _A   : Dict       					=				dict(zip(lowercase_				,		range(len(lowercase_))))
            _A   : Optional[int]       					=				{}
            _A   : List[Any]       					=				add_prefix_space

            # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
            _A   : Tuple       					=				re.compile(r"\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+")


     @property
     # Copied from transformers.models.gpt2.tokenization_gpt2.GPT2Tokenizer.vocab_size
     def 				_lowerCamelCase				(		self)    ->       Any:
            return len(self.encoder)


     def 				_lowerCamelCase				(		self)    ->       List[str]:
            return dict(self.encoder				,		**self.added_tokens_encoder)


     def 				_lowerCamelCase				(		self				,		__lowerCamelCase)    ->       Optional[Any]:






            if token in self.cache:
                   return self.cache[token]
            _A   : Dict       					=				tuple(lowercase_)
            _A   : List[str]       					=				get_pairs(lowercase_)

            if not pairs:
                   return token

            while True:
                   _A   : Optional[int]       					=				min(lowercase_				,		key=lambda __lowerCamelCase: self.bpe_ranks.get(lowercase_				,		float("inf")))
                   if bigram not in self.bpe_ranks:
                          break
                   _A					,    _A   : Union[str, Any]       					=				bigram
                   _A   : List[Any]       					=				[]
                   _A   : Optional[int]       					=				0
                   while i < len(lowercase_):
                          try:
                                 _A   : Union[str, Any]       					=				word.index(lowercase_				,		lowercase_)
                          except ValueError:
                                 new_word.extend(word[i:])
                                 break
                          else:
                                 new_word.extend(word[i:j])
                                 _A   : int       					=				j

                          if word[i] == first and i < len(lowercase_) - 1 and word[i + 1] == second:
                                 new_word.append(first + second)
                                 i += 2
                          else:
                                 new_word.append(word[i])
                                 i += 1
                   _A   : Union[str, Any]       					=				tuple(lowercase_)
                   _A   : Any       					=				new_word
                   if len(lowercase_) == 1:
                          break
                   else:
                          _A   : int       					=				get_pairs(lowercase_)
            _A   : Optional[Any]       					=				" ".join(lowercase_)
            _A   : List[str]       					=				word
            return word


     def 				_lowerCamelCase				(		self				,		__lowerCamelCase				,		__lowerCamelCase = None)    ->       List[int]:






            if token_ids_a is None:
                   return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
            _A   : Union[str, Any]       					=				[self.cls_token_id]
            _A   : str       					=				[self.sep_token_id]
            return cls + token_ids_a + sep + token_ids_a + sep


     def 				_lowerCamelCase				(		self				,		__lowerCamelCase				,		__lowerCamelCase = None				,		__lowerCamelCase = False)    ->       List[int]:






            if already_has_special_tokens:
                   return super().get_special_tokens_mask(
                       token_ids_a=lowercase_				,		token_ids_a=lowercase_				,		already_has_special_tokens=lowercase_)

            if token_ids_a is None:
                   return [1] + ([0] * len(lowercase_)) + [1]
            return [1] + ([0] * len(lowercase_)) + [1] + ([0] * len(lowercase_)) + [1]


     def 				_lowerCamelCase				(		self				,		__lowerCamelCase				,		__lowerCamelCase = None)    ->       List[int]:
            _A   : int       					=				[self.sep_token_id]
            _A   : List[str]       					=				[self.cls_token_id]

            if token_ids_a is None:
                   return len(cls + token_ids_a + sep) * [0]
            return len(cls + token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1]


     def 				_lowerCamelCase				(		self				,		__lowerCamelCase)    ->       Tuple:
            _A   : List[str]       					=				[]
            for token in re.findall(self.pat				,		lowercase_):
                   _A   : Tuple       					=				"".join(
                       self.byte_encoder[b] for b in token.encode("utf-8"))  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
                   bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowercase_).split(" "))
            return bpe_tokens


     def 				_lowerCamelCase				(		self				,		__lowerCamelCase)    ->       Tuple:
            return self.encoder.get(lowercase_				,		self.encoder.get(self.unk_token))


     def 				_lowerCamelCase				(		self				,		__lowerCamelCase)    ->       str:
            return self.decoder.get(lowercase_)


     def 				_lowerCamelCase				(		self				,		__lowerCamelCase)    ->       Optional[Any]:
            _A   : Optional[int]       					=				"".join(lowercase_)
            _A   : str       					=				bytearray([self.byte_decoder[c] for c in text]).decode("utf-8"				,		errors=self.errors)
            return text


     def 				_lowerCamelCase				(		self				,		__lowerCamelCase				,		__lowerCamelCase = None)    ->       Tuple[str]:






            if not os.path.isdir(lowercase_):
                   logger.error(F"Vocabulary path ({save_directory}) should be a directory")
                   return
            _A   : List[str]       					=				os.path.join(
                lowercase_				,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])
            _A   : List[str]       					=				os.path.join(
                lowercase_				,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"])

            with open(lowercase_				,		"w"				,		encoding="utf-8") as f:
                   f.write(json.dumps(self.encoder				,		indent=2				,		sort_keys=lowercase_				,		ensure_ascii=lowercase_) + "\n")

            _A   : Tuple       					=				0
            with open(lowercase_				,		"w"				,		encoding="utf-8") as writer:
                   writer.write("#version: 0.2\n")
                   for bpe_tokens, token_index in sorted(self.bpe_ranks.items()				,		key=lambda __lowerCamelCase: kv[1]):
                          if index != token_index:
                                 logger.warning(
                                     F"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
                                     " Please check that the tokenizer is not corrupted!")
                                 _A   : Optional[int]       					=				token_index
                          writer.write(" ".join(lowercase_) + "\n")
                          index += 1

            return vocab_file, merge_file


     def 				_lowerCamelCase				(		self				,		__lowerCamelCase				,		__lowerCamelCase=False				,		**__lowerCamelCase)    ->       Dict:
            _A   : Union[str, Any]       					=				kwargs.pop("add_prefix_space"				,		self.add_prefix_space)
            if (is_split_into_words or add_prefix_space) and (len(lowercase_) > 0 and not text[0].isspace()):
                   _A   : Dict       					=				" " + text
            return (text, kwargs)


     def 				_lowerCamelCase				(		self				,		__lowerCamelCase)    ->       List[int]:
            _A   : Any       					=				[]
            for is_user, text in conversation.iter_texts():
                   input_ids.extend(self.encode(lowercase_				,		add_special_tokens=lowercase_) + [self.eos_token_id])
            if len(lowercase_) > self.model_max_length:
                   _A   : Union[str, Any]       					=				input_ids[-self.model_max_length :]
            return input_ids




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCAmelCase__   	=				{'configuration_detr': ['DETR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DetrConfig', 'DetrOnnxConfig']}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__   	=				['DetrFeatureExtractor']
    lowerCAmelCase__   	=				['DetrImageProcessor']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__   	=				[
        'DETR_PRETRAINED_MODEL_ARCHIVE_LIST',
        'DetrForObjectDetection',
        'DetrForSegmentation',
        'DetrModel',
        'DetrPreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_detr import DetrFeatureExtractor
        from .image_processing_detr import DetrImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_detr import (
            DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            DetrForObjectDetection,
            DetrForSegmentation,
            DetrModel,
            DetrPreTrainedModel,
        )

else:
    import sys

    lowerCAmelCase__   	=				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
