
"""simple docstring"""





import os
import re
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


__magic_name__       =			logging.get_logger(__name__)

__magic_name__       =			{"vocab_file": "spiece.model"}

__magic_name__       =			{
    "vocab_file": {
        "google/bigbird-roberta-base": "https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model",
        "google/bigbird-roberta-large": (
            "https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model"
        ),
        "google/bigbird-base-trivia-itc": (
            "https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model"
        ),
    }
}

__magic_name__       =			{
    "google/bigbird-roberta-base": 4096,
    "google/bigbird-roberta-large": 4096,
    "google/bigbird-base-trivia-itc": 4096,
}
class 						SCREAMING_SNAKE_CASE_ (						__a ):




		"""simple docstring"""





		__lowercase							:  Tuple						   =		VOCAB_FILES_NAMES
		__lowercase							:  List[Any]						   =		PRETRAINED_VOCAB_FILES_MAP
		__lowercase							:  Any						   =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__lowercase							:  Union[str, Any]						   =		['''input_ids''', '''attention_mask''']
		__lowercase							:  List[int]						   =		[]




		def __init__(     self							,  lowerCAmelCase__							,  lowerCAmelCase__="<unk>"							,  lowerCAmelCase__="<s>"							,  lowerCAmelCase__="</s>"							,  lowerCAmelCase__="<pad>"							,  lowerCAmelCase__="[SEP]"							,  lowerCAmelCase__="[MASK]"							,  lowerCAmelCase__="[CLS]"							,  lowerCAmelCase__ = None							,  **lowerCAmelCase__							,  ):
				__SCREAMING_SNAKE_CASE            = AddedToken(lowerCAmelCase__							,  lstrip=lowerCAmelCase__							,  rstrip=lowerCAmelCase__) if isinstance(lowerCAmelCase__							,  lowerCAmelCase__) else bos_token
				__SCREAMING_SNAKE_CASE            = AddedToken(lowerCAmelCase__							,  lstrip=lowerCAmelCase__							,  rstrip=lowerCAmelCase__) if isinstance(lowerCAmelCase__							,  lowerCAmelCase__) else eos_token
				__SCREAMING_SNAKE_CASE            = AddedToken(lowerCAmelCase__							,  lstrip=lowerCAmelCase__							,  rstrip=lowerCAmelCase__) if isinstance(lowerCAmelCase__							,  lowerCAmelCase__) else unk_token
				__SCREAMING_SNAKE_CASE            = AddedToken(lowerCAmelCase__							,  lstrip=lowerCAmelCase__							,  rstrip=lowerCAmelCase__) if isinstance(lowerCAmelCase__							,  lowerCAmelCase__) else pad_token
				__SCREAMING_SNAKE_CASE            = AddedToken(lowerCAmelCase__							,  lstrip=lowerCAmelCase__							,  rstrip=lowerCAmelCase__) if isinstance(lowerCAmelCase__							,  lowerCAmelCase__) else cls_token
				__SCREAMING_SNAKE_CASE            = AddedToken(lowerCAmelCase__							,  lstrip=lowerCAmelCase__							,  rstrip=lowerCAmelCase__) if isinstance(lowerCAmelCase__							,  lowerCAmelCase__) else sep_token

				# Mask token behave like a normal word, i.e. include the space before it
				__SCREAMING_SNAKE_CASE            = AddedToken(lowerCAmelCase__							,  lstrip=lowerCAmelCase__							,  rstrip=lowerCAmelCase__) if isinstance(lowerCAmelCase__							,  lowerCAmelCase__) else mask_token

				__SCREAMING_SNAKE_CASE            = {} if sp_model_kwargs is None else sp_model_kwargs

				super().__init__(
				    bos_token=lowerCAmelCase__							,  eos_token=lowerCAmelCase__							,  unk_token=lowerCAmelCase__							,  pad_token=lowerCAmelCase__							,  sep_token=lowerCAmelCase__							,  mask_token=lowerCAmelCase__							,  cls_token=lowerCAmelCase__							,  sp_model_kwargs=self.sp_model_kwargs							,  **lowerCAmelCase__							,  )

				__SCREAMING_SNAKE_CASE            = vocab_file

				__SCREAMING_SNAKE_CASE            = spm.SentencePieceProcessor(**self.sp_model_kwargs)
				self.sp_model.Load(lowerCAmelCase__)




		@property
		def 	snake_case_     (     self):
				return self.sp_model.get_piece_size()




		def 	snake_case_     (     self):
				__SCREAMING_SNAKE_CASE            = {self.convert_ids_to_tokens(lowerCAmelCase__): i for i in range(self.vocab_size)}
				vocab.update(self.added_tokens_encoder)
				return vocab




		def __getstate__(     self):
				__SCREAMING_SNAKE_CASE            = self.__dict__.copy()
				__SCREAMING_SNAKE_CASE            = None
				return state




		def __setstate__(     self							,  lowerCAmelCase__):
				__SCREAMING_SNAKE_CASE            = d

				# for backward compatibility
				if not hasattr(self							,  """sp_model_kwargs"""):
						__SCREAMING_SNAKE_CASE            = {}

				__SCREAMING_SNAKE_CASE            = spm.SentencePieceProcessor(**self.sp_model_kwargs)
				self.sp_model.Load(self.vocab_file)




		def 	snake_case_     (     self							,  lowerCAmelCase__):
				return self.sp_model.encode(lowerCAmelCase__							,  out_type=lowerCAmelCase__)




		def 	snake_case_     (     self							,  lowerCAmelCase__):
				return self.sp_model.piece_to_id(lowerCAmelCase__)




		def 	snake_case_     (     self							,  lowerCAmelCase__):
				__SCREAMING_SNAKE_CASE            = self.sp_model.IdToPiece(lowerCAmelCase__)
				return token




		def 	snake_case_     (     self							,  lowerCAmelCase__):
				__SCREAMING_SNAKE_CASE            = []
				__SCREAMING_SNAKE_CASE            = """"""
				__SCREAMING_SNAKE_CASE            = False
				for token in tokens:
						# make sure that special tokens are not decoded using sentencepiece model
						if token in self.all_special_tokens:
								if not prev_is_special:
										out_string += " "
								out_string += self.sp_model.decode(lowerCAmelCase__) + token
								__SCREAMING_SNAKE_CASE            = True
								__SCREAMING_SNAKE_CASE            = []
						else:
								current_sub_tokens.append(lowerCAmelCase__)
								__SCREAMING_SNAKE_CASE            = False
				out_string += self.sp_model.decode(lowerCAmelCase__)
				return out_string.strip()




		def 	snake_case_     (     self							,  lowerCAmelCase__							,  lowerCAmelCase__ = False							,  lowerCAmelCase__ = None							,  lowerCAmelCase__ = True							,  **lowerCAmelCase__							,  ):
				__SCREAMING_SNAKE_CASE            = kwargs.pop("""use_source_tokenizer"""							,  lowerCAmelCase__)

				__SCREAMING_SNAKE_CASE            = self.convert_ids_to_tokens(lowerCAmelCase__							,  skip_special_tokens=lowerCAmelCase__)

				# To avoid mixing byte-level and unicode for byte-level BPT
				# we need to build string separately for added tokens and byte-level tokens
				# cf. https://github.com/huggingface/transformers/issues/1133
				__SCREAMING_SNAKE_CASE            = []
				__SCREAMING_SNAKE_CASE            = []
				for token in filtered_tokens:
						if skip_special_tokens and token in self.all_special_ids:
								continue
						if token in self.added_tokens_encoder:
								if current_sub_text:
										sub_texts.append(self.convert_tokens_to_string(lowerCAmelCase__))
										__SCREAMING_SNAKE_CASE            = []
								sub_texts.append(lowerCAmelCase__)
						else:
								current_sub_text.append(lowerCAmelCase__)
				if current_sub_text:
						sub_texts.append(self.convert_tokens_to_string(lowerCAmelCase__))

				# Mimic the behavior of the Rust tokenizer:
				# No space before [MASK] and [SEP]
				if spaces_between_special_tokens:
						__SCREAMING_SNAKE_CASE            = re.sub(R""" (\[(MASK|SEP)\])"""							,  R"""\1"""							,  """ """.join(lowerCAmelCase__))
				else:
						__SCREAMING_SNAKE_CASE            = """""".join(lowerCAmelCase__)

				__SCREAMING_SNAKE_CASE            = (
				    clean_up_tokenization_spaces
				    if clean_up_tokenization_spaces is not None
				    else self.clean_up_tokenization_spaces
				)
				if clean_up_tokenization_spaces:
						__SCREAMING_SNAKE_CASE            = self.clean_up_tokenization(lowerCAmelCase__)
						return clean_text
				else:
						return text




		def 	snake_case_     (     self							,  lowerCAmelCase__							,  lowerCAmelCase__ = None):
				if not os.path.isdir(lowerCAmelCase__):
						logger.error(f"Vocabulary path ({save_directory}) should be a directory")
						return
				__SCREAMING_SNAKE_CASE            = os.path.join(
				    lowerCAmelCase__							,  (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""])

				if os.path.abspath(self.vocab_file) != os.path.abspath(lowerCAmelCase__) and os.path.isfile(self.vocab_file):
						copyfile(self.vocab_file							,  lowerCAmelCase__)
				elif not os.path.isfile(self.vocab_file):
						with open(lowerCAmelCase__							,  """wb""") as fi:
								__SCREAMING_SNAKE_CASE            = self.sp_model.serialized_model_proto()
								fi.write(lowerCAmelCase__)

				return (out_vocab_file,)




		def 	snake_case_     (     self							,  lowerCAmelCase__							,  lowerCAmelCase__ = None):
				if token_ids_a is None:
						return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
				__SCREAMING_SNAKE_CASE            = [self.cls_token_id]
				__SCREAMING_SNAKE_CASE            = [self.sep_token_id]
				return cls + token_ids_a + sep + token_ids_a + sep




		def 	snake_case_     (     self							,  lowerCAmelCase__							,  lowerCAmelCase__ = None							,  lowerCAmelCase__ = False):
				if already_has_special_tokens:
						return super().get_special_tokens_mask(
						    token_ids_a=lowerCAmelCase__							,  token_ids_a=lowerCAmelCase__							,  already_has_special_tokens=lowerCAmelCase__)

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




		def 	snake_case_     (     self							,  lowerCAmelCase__							,  lowerCAmelCase__ = None):
				__SCREAMING_SNAKE_CASE            = [self.sep_token_id]
				__SCREAMING_SNAKE_CASE            = [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]







from typing import Dict, List, Optional

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


_UpperCAmelCase		:   Any										=       logging.get_logger(__name__)


_UpperCAmelCase		:   Dict										=       {
    """nielsr/canine-s""": 2048,
}

# Unicode defines 1,114,112 total “codepoints”
_UpperCAmelCase		:   Tuple										=       111_4112

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
_UpperCAmelCase		:   List[str]										=       0

_UpperCAmelCase		:   Any										=       0xE000
_UpperCAmelCase		:   Dict										=       0xE001
_UpperCAmelCase		:   Optional[int]										=       0xE002
_UpperCAmelCase		:   Tuple										=       0xE003
_UpperCAmelCase		:   Tuple										=       0xE004

# Maps special codepoints to human-readable names.
_UpperCAmelCase		:   Dict[int, str]										=       {
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
_UpperCAmelCase		:   Dict[str, int]										=       {name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}







class  lowercase				(       lowercase_			):
				__SCREAMING_SNAKE_CASE					: str       			=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




				def __init__(					self      ,   snake_case=chr(snake_case       )      ,   snake_case=chr(snake_case       )      ,   snake_case=chr(snake_case       )      ,   snake_case=chr(snake_case       )      ,   snake_case=chr(snake_case       )      ,   snake_case=chr(snake_case       )      ,   snake_case=False      ,   snake_case=2048      ,   **snake_case      ,   ):
											snake_case_							=    AddedToken(snake_case      ,   lstrip=snake_case      ,   rstrip=snake_case       ) if isinstance(snake_case      ,   snake_case       ) else bos_token
											snake_case_							=    AddedToken(snake_case      ,   lstrip=snake_case      ,   rstrip=snake_case       ) if isinstance(snake_case      ,   snake_case       ) else eos_token
											snake_case_							=    AddedToken(snake_case      ,   lstrip=snake_case      ,   rstrip=snake_case       ) if isinstance(snake_case      ,   snake_case       ) else sep_token
											snake_case_							=    AddedToken(snake_case      ,   lstrip=snake_case      ,   rstrip=snake_case       ) if isinstance(snake_case      ,   snake_case       ) else cls_token
											snake_case_							=    AddedToken(snake_case      ,   lstrip=snake_case      ,   rstrip=snake_case       ) if isinstance(snake_case      ,   snake_case       ) else pad_token

											# Mask token behave like a normal word, i.e. include the space before it
											snake_case_							=    AddedToken(snake_case      ,   lstrip=snake_case      ,   rstrip=snake_case       ) if isinstance(snake_case      ,   snake_case       ) else mask_token

											super().__init__(
											    bos_token=snake_case      ,   eos_token=snake_case      ,   sep_token=snake_case      ,   cls_token=snake_case      ,   pad_token=snake_case      ,   mask_token=snake_case      ,   add_prefix_space=snake_case      ,   model_max_length=snake_case      ,   **snake_case      ,   )

											# Creates a mapping for looking up the IDs of special symbols.
											snake_case_							=    {}
											for codepoint, name in SPECIAL_CODEPOINTS.items():
																		snake_case_							=    codepoint

											# Creates a mapping for looking up the string forms of special symbol IDs.
											snake_case_							=    {
											    codepoint: name for name, codepoint in self._special_codepoints.items()
											}

											snake_case_							=    UNICODE_VOCAB_SIZE
											snake_case_							=    len(self._special_codepoints       )




				@property
				def     a							(					self       ):
											return self._unicode_vocab_size




				def     a							(					self      ,   snake_case       ):
											return list(snake_case       )




				def     a							(					self      ,   snake_case       ):
											try:
																		return ord(snake_case       )
											except TypeError:
																		raise ValueError(F'''invalid token: \'{token}\''''       )




				def     a							(					self      ,   snake_case       ):
											try:
																		if index in SPECIAL_CODEPOINTS:
																									return SPECIAL_CODEPOINTS[index]
																		return chr(snake_case       )
											except TypeError:
																		raise ValueError(F'''invalid id: {index}'''       )




				def     a							(					self      ,   snake_case       ):
											return "".join(snake_case       )




				def     a							(					self      ,   snake_case      ,   snake_case = None       ):
											snake_case_							=    [self.sep_token_id]
											snake_case_							=    [self.cls_token_id]

											snake_case_							=    cls + token_ids_a + sep
											if token_ids_a is not None:
																		result += token_ids_a + sep
											return result




				def     a							(					self      ,   snake_case      ,   snake_case = None      ,   snake_case = False       ):
											if already_has_special_tokens:
																		return super().get_special_tokens_mask(
																		    token_ids_a=snake_case      ,   token_ids_a=snake_case      ,   already_has_special_tokens=snake_case       )

											snake_case_							=    [1] + ([0] * len(snake_case       )) + [1]
											if token_ids_a is not None:
																		result += ([0] * len(snake_case       )) + [1]
											return result




				def     a							(					self      ,   snake_case      ,   snake_case = None       ):
											snake_case_							=    [self.sep_token_id]
											snake_case_							=    [self.cls_token_id]

											snake_case_							=    len(cls + token_ids_a + sep       ) * [0]
											if token_ids_a is not None:
																		result += len(token_ids_a + sep       ) * [1]
											return result




				def     a							(					self      ,   snake_case      ,   snake_case = None       ):
											return ()




