'''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     __UpperCAmelCase       ( __a						,       unittest.TestCase		):
  __A :				Tuple											= CpmAntTokenizer
  __A :				Dict											= False





  def 						UpperCAmelCase_	(	self ):
     super().setUp()

     lowerCAmelCase_			=      [
         '''<d>''',
         '''</d>''',
         '''<s>''',
         '''</s>''',
         '''</_>''',
         '''<unk>''',
         '''<pad>''',
         '''</n>''',
         '''我''',
         '''是''',
         '''C''',
         '''P''',
         '''M''',
         '''A''',
         '''n''',
         '''t''',
     ]
     lowerCAmelCase_			=      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 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      CpmAntTokenizer.from_pretrained('''openbmb/cpm-ant-10b''' )
     lowerCAmelCase_			=      '''今天天气真好！'''
     lowerCAmelCase_			=      ['''今天''', '''天气''', '''真''', '''好''', '''！''']
     lowerCAmelCase_			=      tokenizer.tokenize(_lowercase )
     self.assertListEqual(_lowercase    ,     _lowercase )
     lowerCAmelCase_			=      '''今天天气真好！'''
     lowerCAmelCase_			=      [tokenizer.bos_token] + tokens

     lowerCAmelCase_			=      [6, 9802, 1_4962, 2082, 831, 244]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase )    ,     _lowercase )

     lowerCAmelCase_			=      tokenizer.decode(_lowercase )
     self.assertEqual(_lowercase    ,     _lowercase )











'''simple docstring'''
import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict





@pytest.mark.parametrize(
    'split_dict'       ,[
        SplitDict(),
        SplitDict({'train': SplitInfo(name='train'       ,num_bytes=1337       ,num_examples=42       ,dataset_name='my_dataset'     )}     ),
        SplitDict({'train': SplitInfo(name='train'       ,num_bytes=1337       ,num_examples=42     )}     ),
        SplitDict({'train': SplitInfo()}     ),
    ]       ,)
def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_     )		->		List[str]:
			A_									= split_dict._to_yaml_list()
			assert len(SCREAMING_SNAKE_CASE_     ) == len(SCREAMING_SNAKE_CASE_     )
			A_									= SplitDict._from_yaml_list(SCREAMING_SNAKE_CASE_     )
			for split_name, split_info in split_dict.items():
						# dataset_name field is deprecated, and is therefore not part of the YAML dump
						A_									= None
						# the split name of split_dict takes over the name of the split info object
						A_									= split_name
			assert split_dict == reloaded






@pytest.mark.parametrize(
    'split_info'       ,[SplitInfo(), SplitInfo(dataset_name=SCREAMING_SNAKE_CASE_     ), SplitInfo(dataset_name='my_dataset'     )]     )
def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_     )		->		Optional[Any]:
			# For backward compatibility, we need asdict(split_dict) to return split info dictrionaries with the "dataset_name"
			# field even if it's deprecated. This way old versionso of `datasets` can still reload dataset_infos.json files
			A_									= asdict(SplitDict({'train': split_info}     )     )
			assert "dataset_name" in split_dict_asdict["train"]
			assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name




