






"""simple docstring"""



import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
    import jieba

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


_UpperCamelCase		:  Any						=		logging.get_logger(__name__)

_UpperCamelCase		:  Any						=		{'vocab_file': 'vocab.txt'}

_UpperCamelCase		:  List[Any]						=		{
    'vocab_file': {
        'openbmb/cpm-ant-10b': 'https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt',
    },
}

_UpperCamelCase		:  Union[str, Any]						=		{
    'openbmb/cpm-ant-10b': 1_0_2_4,
}
def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  Optional[Any]    ):





  '''simple docstring'''





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

class        a     (   snake_case__	):







    def __init__(			self							,		_lowerCamelCase							,		_lowerCamelCase="<unk>"							,		_lowerCamelCase=2_0_0       ):
      lowercase							    =       vocab
      lowercase							    =       unk_token
      lowercase							    =       max_input_chars_per_word







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      lowercase							    =       list(_A       )
      if len(_A       ) > self.max_input_chars_per_word:
        return [self.unk_token]

      lowercase							    =       0
      lowercase							    =       []
      while start < len(_A       ):
        lowercase							    =       len(_A       )
        lowercase							    =       None
        while start < end:
          lowercase							    =       ''.join(chars[start:end]       )
          if substr in self.vocab:
            lowercase							    =       substr
            break
          end -= 1
        if cur_substr is None:
          sub_tokens.append(self.unk_token       )
          start += 1
        else:
          sub_tokens.append(_A       )
          lowercase							    =       end

      return sub_tokens


class        a     (   snake_case__	):
    UpperCAmelCase_ :     Any	     =VOCAB_FILES_NAMES
    UpperCAmelCase_ :     str	     =PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase_ :     Optional[Any]	     =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase_ :     Any	     =["""input_ids""", """attention_mask"""]
    UpperCAmelCase_ :     int	     =False







    def __init__(			self							,		_lowerCamelCase							,		_lowerCamelCase="<d>"							,		_lowerCamelCase="</d>"							,		_lowerCamelCase="<s>"							,		_lowerCamelCase="</s>"							,		_lowerCamelCase="<pad>"							,		_lowerCamelCase="<unk>"							,		_lowerCamelCase="</n>"							,		_lowerCamelCase="</_>"							,		_lowerCamelCase="left"							,		**_lowerCamelCase							,		):
      requires_backends(self							,		['jieba']       )
      super().__init__(
          bod_token=_A							,		eod_token=_A							,		bos_token=_A							,		eos_token=_A							,		pad_token=_A							,		unk_token=_A							,		line_token=_A							,		space_token=_A							,		padding_side=_A							,		**_A							,		)
      lowercase							    =       bod_token
      lowercase							    =       eod_token
      lowercase							    =       load_vocab(_A       )
      lowercase							    =       self.encoder[space_token]
      lowercase							    =       self.encoder[line_token]

      del self.encoder[space_token]
      del self.encoder[line_token]

      lowercase							    =       collections.OrderedDict(sorted(self.encoder.items()							,		key=lambda _lowerCamelCase       : x[1]       )       )
      lowercase							    =       {v: k for k, v in self.encoder.items()}

      lowercase							    =       WordpieceTokenizer(vocab=self.encoder							,		unk_token=self.unk_token       )







    @property
    def 			UpperCamelCase_      (			self       ):
      return self.encoder[self.bod_token]







    @property
    def 			UpperCamelCase_      (			self       ):
      return self.encoder[self.eod_token]







    @property
    def 			UpperCamelCase_      (			self       ):
      return self.encoder["\n"]







    @property
    def 			UpperCamelCase_      (			self       ):
      return len(self.encoder       )







    def 			UpperCamelCase_      (			self       ):
      return dict(self.encoder							,		**self.added_tokens_encoder       )







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      lowercase							    =       []
      for x in jieba.cut(_A							,		cut_all=_A       ):
        output_tokens.extend(self.wordpiece_tokenizer.tokenize(_A       )       )
      return output_tokens







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase							,		**_lowerCamelCase       ):
      lowercase							    =       [i for i in token_ids if i >= 0]
      lowercase							    =       [
          x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
      ]
      return super()._decode(_A							,		**_A       )







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      return token in self.encoder







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      return "".join(_A       )







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      return self.encoder.get(_A							,		self.encoder.get(self.unk_token       )       )







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      return self.decoder.get(_A							,		self.unk_token       )







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase							,		_lowerCamelCase = None       ):



      if os.path.isdir(_A       ):
        lowercase							    =       os.path.join(
            _A							,		(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']       )
      else:
        lowercase							    =       (filename_prefix + '-' if filename_prefix else '') + save_directory
      lowercase							    =       0
      if " " in self.encoder:
        lowercase							    =       self.encoder[' ']
        del self.encoder[" "]
      if "\n" in self.encoder:
        lowercase							    =       self.encoder['\n']
        del self.encoder["\n"]
      lowercase							    =       collections.OrderedDict(sorted(self.encoder.items()							,		key=lambda _lowerCamelCase       : x[1]       )       )
      with open(_A							,		'w'							,		encoding='utf-8'       ) as writer:
        for token, token_index in self.encoder.items():
          if index != token_index:
            logger.warning(
                F'Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive.'
                ' Please check that the vocabulary is not corrupted!'       )
            lowercase							    =       token_index
          writer.write(token + '\n'       )
          index += 1
      return (vocab_file,)







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase							,		_lowerCamelCase = None       ):



      if token_ids_a is None:
        return [self.bos_token_id] + token_ids_a
      return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase							,		_lowerCamelCase = None							,		_lowerCamelCase = False       ):



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

      if token_ids_a is not None:
        return [1] + ([0] * len(_A       )) + [1] + ([0] * len(_A       ))
      return [1] + ([0] * len(_A       ))








import pytest

from datasets import inspect_metric, list_metrics, load_metric







@pytest.fixture
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Optional[Any]     ):
					monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings"      ,      set()     )







@pytest.fixture
def 	_a      (						SCREAMING_SNAKE_CASE_							:				List[Any]     ):
					class 			a__    :






											def __init__(   self		,			_A			):




																"""simple docstring"""



																__lowerCAmelCase				   =       metric_id






					class 			a__    :
											_a							:    Optional[int]					=    [MetricMock(snake_case__      ) for metric_id in ["""accuracy""", """mse""", """precision""", """codeparrot/apps_metric"""]]






											def 				__SCREAMING_SNAKE_CASE(   self			):




																"""simple docstring"""



																return self._metrics






					monkeypatch.setattr("datasets.inspect.huggingface_hub"      ,      HfhMock()     )







@pytest.mark.parametrize(
    "func, args"      ,      [(load_metric, ("metrics/mse",)), (list_metrics, ()), (inspect_metric, ("metrics/mse", "tmp_path"))]     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Tuple      ,      SCREAMING_SNAKE_CASE_							:				List[str]      ,      SCREAMING_SNAKE_CASE_							:				int      ,      SCREAMING_SNAKE_CASE_							:				Optional[int]      ,      SCREAMING_SNAKE_CASE_							:				Optional[int]     ):
					if "tmp_path" in args:
										__lowerCAmelCase				   =       tuple(arg if arg != "tmp_path" else tmp_path for arg in args     )
					with pytest.warns(SCREAMING_SNAKE_CASE_      ,      match="https://huggingface.co/docs/evaluate"     ):
										func(*SCREAMING_SNAKE_CASE_     )




