






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  lowerCAmelCase_       (				snake_case__     ,    unittest.TestCase					):
							UpperCamelCase_		:int		      =    CpmAntTokenizer
							UpperCamelCase_		:str		      =    False




							def 						__snake_case					(   self     :   Optional[Any]	):
											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 						__snake_case					(   self     :   Optional[Any]	):
											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(SCREAMING_SNAKE_CASE_	)
											self.assertListEqual(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_	)
											lowerCAmelCase__      			=						'''今天天气真好！'''
											lowerCAmelCase__      			=						[tokenizer.bos_token] + tokens

											lowerCAmelCase__      			=						[6, 9_802, 14_962, 2_082, 831, 244]
											self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_	) ,							SCREAMING_SNAKE_CASE_	)

											lowerCAmelCase__      			=						tokenizer.decode(SCREAMING_SNAKE_CASE_	)
											self.assertEqual(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_	)













from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class  lowerCAmelCase_       (				snake_case__					):




							def __init__(   self     :   str ,							SCREAMING_SNAKE_CASE_     :   pyspark.sql.DataFrame ,							SCREAMING_SNAKE_CASE_     :   Optional[NamedSplit] = None ,							SCREAMING_SNAKE_CASE_     :   Optional[Features] = None ,							SCREAMING_SNAKE_CASE_     :   bool = True ,							SCREAMING_SNAKE_CASE_     :   str = None ,							SCREAMING_SNAKE_CASE_     :   bool = False ,							SCREAMING_SNAKE_CASE_     :   str = None ,							SCREAMING_SNAKE_CASE_     :   bool = True ,							SCREAMING_SNAKE_CASE_     :   str = "arrow" ,							**SCREAMING_SNAKE_CASE_     :   Optional[Any] ,							):
											super().__init__(
											    split=SCREAMING_SNAKE_CASE_ ,							features=SCREAMING_SNAKE_CASE_ ,							cache_dir=SCREAMING_SNAKE_CASE_ ,							keep_in_memory=SCREAMING_SNAKE_CASE_ ,							streaming=SCREAMING_SNAKE_CASE_ ,							**SCREAMING_SNAKE_CASE_ ,							)
											lowerCAmelCase__      			=						load_from_cache_file
											lowerCAmelCase__      			=						file_format
											lowerCAmelCase__      			=						Spark(
											    df=SCREAMING_SNAKE_CASE_ ,							features=SCREAMING_SNAKE_CASE_ ,							cache_dir=SCREAMING_SNAKE_CASE_ ,							working_dir=SCREAMING_SNAKE_CASE_ ,							**SCREAMING_SNAKE_CASE_ ,							)




							def 						__snake_case					(   self     :   List[str]	):
											if self.streaming:
															return self.builder.as_streaming_dataset(split=self.split	)
											lowerCAmelCase__      			=						None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
											self.builder.download_and_prepare(
											    download_mode=SCREAMING_SNAKE_CASE_ ,							file_format=self._file_format ,							)
											return self.builder.as_dataset(split=self.split	)





