






"""simple docstring"""




import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin





@require_jieba
class       __a  (   A__	,       unittest.TestCase	):
 _lowerCAmelCase	:	Dict				=			CpmAntTokenizer
 _lowerCAmelCase	:	Dict				=			False







 def  __lowercase (		self :       List[Any]						):


      '''simple docstring'''






      super().setUp()

      UpperCamelCase__      :       List[Any]	    =  [
          "<d>",
          "</d>",
          "<s>",
          "</s>",
          "</_>",
          "<unk>",
          "<pad>",
          "</n>",
          "我",
          "是",
          "C",
          "P",
          "M",
          "A",
          "n",
          "t",
      ]
      UpperCamelCase__      :       Union[str, Any]	    =  os.path.join(self.tmpdirname							,       VOCAB_FILES_NAMES["vocab_file"]						)
      with open(self.vocab_file							,       "w"							,       encoding="utf-8"						) as vocab_writer:
           vocab_writer.write("".join([x + "\n" for x in vocab_tokens]						)						)







 @tooslow
 def  __lowercase (		self :       List[str]						):


      '''simple docstring'''






      UpperCamelCase__      :       Optional[int]	    =  CpmAntTokenizer.from_pretrained("openbmb/cpm-ant-10b"						)
      UpperCamelCase__      :       Any	    =  "今天天气真好！"
      UpperCamelCase__      :       int	    =  ["今天", "天气", "真", "好", "！"]
      UpperCamelCase__      :       List[str]	    =  tokenizer.tokenize(SCREAMING_SNAKE_CASE						)
      self.assertListEqual(SCREAMING_SNAKE_CASE							,       SCREAMING_SNAKE_CASE						)
      UpperCamelCase__      :       Optional[Any]	    =  "今天天气真好！"
      UpperCamelCase__      :       Union[str, Any]	    =  [tokenizer.bos_token] + tokens

      UpperCamelCase__      :       str	    =  [6, 98_02, 1_49_62, 20_82, 8_31, 2_44]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE						)							,       SCREAMING_SNAKE_CASE						)

      UpperCamelCase__      :       Union[str, Any]	    =  tokenizer.decode(SCREAMING_SNAKE_CASE						)
      self.assertEqual(SCREAMING_SNAKE_CASE							,       SCREAMING_SNAKE_CASE						)







from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate





@dataclass(frozen=A__	)
class       __a  (   A__	):
 _lowerCAmelCase	:	str				=			field(default='''language-modeling'''	,       metadata={'''include_in_asdict_even_if_is_default''': True}	)

 _lowerCAmelCase	:	ClassVar[Features]				=			Features({'''text''': Value('''string'''	)}	)
 _lowerCAmelCase	:	ClassVar[Features]				=			Features({}	)
 _lowerCAmelCase	:	str				=			"text"







 @property
 def  __lowercase (		self :       str						):


      '''simple docstring'''






      return {self.text_column: "text"}