

'''simple docstring'''


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

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCamelCase_				: Any    	=							logging.get_logger(__name__)

lowerCamelCase_				: int    	=							"▁"

lowerCamelCase_				: str    	=							{"vocab_file": "prophetnet.tokenizer"}

lowerCamelCase_				: Optional[int]    	=							{
    "vocab_file": {
        "microsoft/xprophetnet-large-wiki100-cased": (
            "https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/prophetnet.tokenizer"
        ),
    }
}

lowerCamelCase_				: List[Any]    	=							{
    "microsoft/xprophetnet-large-wiki100-cased": {"do_lower_case": False},
}

lowerCamelCase_				: Tuple    	=							{
    "microsoft/xprophetnet-large-wiki100-cased": 512,
}







def 	__magic_name__( _A					):
						'''simple docstring'''





						UpperCamelCase__         = collections.OrderedDict()
						with open(a_						,      """r"""						,      encoding="""utf-8"""					) as reader:
												UpperCamelCase__         = reader.readlines()
						for index, token in enumerate(a_					):
												UpperCamelCase__         = token.rstrip("""\n"""					)
												UpperCamelCase__         = index
						return vocab







class    _SCREAMING_SNAKE_CASE							(		_UpperCAmelCase	):


			'''simple docstring'''





			__a							:							str					     =					VOCAB_FILES_NAMES
			__a							:							Optional[int]					     =					PRETRAINED_VOCAB_FILES_MAP
			__a							:							List[Any]					     =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__a							:							Union[str, Any]					     =					["input_ids", "attention_mask"]






			def __init__(   self							:						str ,      lowercase							:						int ,      lowercase							:						Tuple="[SEP]" ,      lowercase							:						Optional[int]="[SEP]" ,      lowercase							:						str="[SEP]" ,      lowercase							:						Union[str, Any]="[UNK]" ,      lowercase							:						Tuple="[PAD]" ,      lowercase							:						List[Any]="[CLS]" ,      lowercase							:						int="[MASK]" ,      lowercase							:						Optional[Dict[str, Any]] = None ,      **lowercase							:						Dict ,      )							->    None:

									'''simple docstring'''







									UpperCamelCase__         = {} if sp_model_kwargs is None else sp_model_kwargs

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

									try:
															import sentencepiece as spm
									except ImportError:
															logger.warning(
															    """You need to install SentencePiece to use XLMRobertaTokenizer: https://github.com/google/sentencepiece"""
															    """ pip install sentencepiece"""			)
															raise

									UpperCamelCase__         = spm.SentencePieceProcessor(**self.sp_model_kwargs			)
									self.sp_model.Load(str(lowerCamelCase_			)			)
									UpperCamelCase__         = vocab_file

									# Original fairseq vocab and spm vocab must be "aligned":
									# Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
									# -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
									# fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
									# spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

									# put special tokens and [unused] tokens into the vocab
									UpperCamelCase__         = {'''[PAD]''': 0, '''[CLS]''': 1, '''[SEP]''': 2, '''[UNK]''': 3, '''[MASK]''': 4}

									for i in range(1_0			):
															UpperCamelCase__         = f"[unused{i}]"
															UpperCamelCase__         = 5 + i

									# The first "real" token "," has position 15 in the embedding vocab and position 3 in the spm vocab
									UpperCamelCase__         = 1_2
									UpperCamelCase__         = {v: k for k, v in self.fairseq_tokens_to_ids.items()}
									for k in self.fairseq_tokens_to_ids.keys():
															self.unique_no_split_tokens.append(lowerCamelCase_			)






			def __getstate__(   self							:						Optional[Any]			)							->    str:

									'''simple docstring'''







									UpperCamelCase__         = self.__dict__.copy()
									UpperCamelCase__         = None
									return state






			def __setstate__(   self							:						Optional[int] ,      lowercase							:						List[str]			)							->    int:

									'''simple docstring'''







									UpperCamelCase__         = d
									try:
															import sentencepiece as spm
									except ImportError:
															logger.warning(
															    """You need to install SentencePiece to use XLMRobertaTokenizer: https://github.com/google/sentencepiece"""
															    """ pip install sentencepiece"""			)
															raise

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

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






			def 				A      (   self							:						Optional[Any] ,      lowercase							:						List[int] ,      lowercase							:						Optional[List[int]] = None ,      lowercase							:						bool = False			)							->    List[int]:

									'''simple docstring'''







									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 ([0] * len(lowerCamelCase_			)) + [1]
									return ([0] * len(lowerCamelCase_			)) + [1] + ([0] * len(lowerCamelCase_			)) + [1]






			def 				A      (   self							:						Optional[int] ,      lowercase							:						List[int] ,      lowercase							:						Optional[List[int]] = None			)							->    List[int]:

									'''simple docstring'''







									UpperCamelCase__         = [self.sep_token_id]

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






			@property
			def 				A      (   self							:						Union[str, Any]			)							->    Optional[int]:

									'''simple docstring'''







									return len(self.sp_model			) + self.fairseq_offset






			def 				A      (   self							:						Tuple			)							->    Union[str, Any]:

									'''simple docstring'''







									UpperCamelCase__         = {self.convert_ids_to_tokens(lowerCamelCase_			): i for i in range(self.vocab_size			)}
									vocab.update(self.added_tokens_encoder			)
									return vocab






			def 				A      (   self							:						Dict ,      lowercase							:						str			)							->    str:

									'''simple docstring'''







									return self.sp_model.encode(lowerCamelCase_ ,      out_type=lowerCamelCase_			)






			def 				A      (   self							:						Optional[int] ,      lowercase							:						Any			)							->    Optional[int]:

									'''simple docstring'''







									if token in self.fairseq_tokens_to_ids:
															return self.fairseq_tokens_to_ids[token]
									UpperCamelCase__         = self.sp_model.PieceToId(lowerCamelCase_			)

									# Need to return unknown token if the SP model returned 0
									return spm_id + self.fairseq_offset if spm_id else self.unk_token_id






			def 				A      (   self							:						Dict ,      lowercase							:						Optional[Any]			)							->    Union[str, Any]:

									'''simple docstring'''







									if index in self.fairseq_ids_to_tokens:
															return self.fairseq_ids_to_tokens[index]
									return self.sp_model.IdToPiece(index - self.fairseq_offset			)






			def 				A      (   self							:						Optional[int] ,      lowercase							:						Dict			)							->    List[str]:

									'''simple docstring'''







									UpperCamelCase__         = ''''''.join(lowerCamelCase_			).replace(lowerCamelCase_ ,      """ """			).strip()
									return out_string






			def 				A      (   self							:						Any ,      lowercase							:						str ,      lowercase							:						Optional[str] = None			)							->    Tuple[str]:

									'''simple docstring'''







									if not os.path.isdir(lowerCamelCase_			):
															logger.error(f"Vocabulary path ({save_directory}) should be a directory"			)
															return
									UpperCamelCase__         = 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:
																					UpperCamelCase__         = self.sp_model.serialized_model_proto()
																					fi.write(lowerCamelCase_			)

									return (out_vocab_file,)







			def 				A      (   self							:						Optional[Any] ,      lowercase							:						List[int] ,      lowercase							:						Optional[List[int]] = None			)							->    List[int]:

									'''simple docstring'''







									if token_ids_a is None:
															return token_ids_a + [self.sep_token_id]
									UpperCamelCase__         = [self.sep_token_id]
									return token_ids_a + sep + token_ids_a + sep








'''simple docstring'''


import logging
import os
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

from tqdm import auto as tqdm_lib


lowerCamelCase_				: Any    	=							{
    '''debug''': logging.DEBUG,
    '''info''': logging.INFO,
    '''warning''': logging.WARNING,
    '''error''': logging.ERROR,
    '''critical''': logging.CRITICAL,
}

lowerCamelCase_				: Optional[int]    	=							logging.WARNING







def 	__magic_name__( ):
						'''simple docstring'''





						UpperCamelCase__         = os.getenv("""DATASETS_VERBOSITY"""						,      _A					)
						if env_level_str:
												if env_level_str in log_levels:
																		return log_levels[env_level_str]
												else:
																		logging.getLogger().warning(
																		    f"Unknown option DATASETS_VERBOSITY={env_level_str}, "
																		    f"has to be one of: { ', '.join(log_levels.keys()					) }"					)
						return _default_log_level







def 	__magic_name__( ):
						'''simple docstring'''





						return __name__.split("""."""					)[0]







def 	__magic_name__( ):
						'''simple docstring'''





						return logging.getLogger(_get_library_name()					)







def 	__magic_name__( ):
						'''simple docstring'''





						UpperCamelCase__         = _get_library_root_logger()
						library_root_logger.setLevel(_get_default_logging_level()					)







def 	__magic_name__( ):
						'''simple docstring'''





						UpperCamelCase__         = _get_library_root_logger()
						library_root_logger.setLevel(logging.NOTSET					)







def 	__magic_name__( _A = None					):
						'''simple docstring'''





						if name is None:
												UpperCamelCase__         = _get_library_name()
						return logging.getLogger(_A					)







def 	__magic_name__( ):
						'''simple docstring'''





						return _get_library_root_logger().getEffectiveLevel()







def 	__magic_name__( _A					):
						'''simple docstring'''





						_get_library_root_logger().setLevel(_A					)







def 	__magic_name__( ):
						'''simple docstring'''





						return set_verbosity(_A					)







def 	__magic_name__( ):
						'''simple docstring'''





						return set_verbosity(_A					)







def 	__magic_name__( ):
						'''simple docstring'''





						return set_verbosity(_A					)







def 	__magic_name__( ):
						'''simple docstring'''





						return set_verbosity(_A					)







def 	__magic_name__( ):
						'''simple docstring'''





						UpperCamelCase__         = False







def 	__magic_name__( ):
						'''simple docstring'''





						UpperCamelCase__         = True


# Configure the library root logger at the module level (singleton-like)
_configure_library_root_logger()
class    _SCREAMING_SNAKE_CASE							:


			'''simple docstring'''





			def __init__(   self							:						int ,      *lowercase							:						Any ,      **lowercase							:						int			)							->    List[Any]:  # pylint: disable=unused-argument

									'''simple docstring'''







									UpperCamelCase__         = args[0] if args else None






			def __iter__(   self							:						str			)							->    List[str]:

									'''simple docstring'''







									return iter(self._iterator			)






			def __getattr__(   self							:						Optional[int] ,      lowercase							:						Tuple			)							->    int:

									'''simple docstring'''







									def empty_fn(*lowercase							:						List[Any] ,      **lowercase							:						Dict			):  # pylint: disable=unused-argument
															return

									return empty_fn






			def __enter__(   self							:						Dict			)							->    Tuple:

									'''simple docstring'''







									return self







			def __exit__(   self							:						Tuple ,      lowercase							:						Optional[Any] ,      lowercase							:						Any ,      lowercase							:						int			)							->    Any:

									'''simple docstring'''







									return
lowerCamelCase_				: str    	=							True
class    _SCREAMING_SNAKE_CASE							:


			'''simple docstring'''





			def __call__(   self							:						List[Any] ,      *lowercase							:						str ,      lowercase							:						Optional[int]=False ,      **lowercase							:						Optional[int]			)							->    Optional[int]:

									'''simple docstring'''







									if _tqdm_active and not disable:
															return tqdm_lib.tqdm(*lowercase ,      **lowercase			)
									else:
															return EmptyTqdm(*lowercase ,      **lowercase			)






			def 				A      (   self							:						Optional[Any] ,      *lowercase							:						Tuple ,      **lowercase							:						Any			)							->    Any:

									'''simple docstring'''







									UpperCamelCase__         = None
									if _tqdm_active:
															return tqdm_lib.tqdm.set_lock(*lowercase ,      **lowercase			)







			def 				A      (   self							:						Optional[Any]			)							->    Optional[Any]:

									'''simple docstring'''







									if _tqdm_active:
															return tqdm_lib.tqdm.get_lock()
lowerCamelCase_				: int    	=							_tqdm_cls()







def 	__magic_name__( ):
						'''simple docstring'''





						global _tqdm_active
						return bool(_tqdm_active					)







def 	__magic_name__( ):
						'''simple docstring'''





						global _tqdm_active
						UpperCamelCase__         = True







def 	__magic_name__( ):
						'''simple docstring'''





						global _tqdm_active
						UpperCamelCase__         = False
