






'''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					):




      """simple docstring"""




      UpperCamelCase_             =      CpmAntTokenizer
      UpperCamelCase_             =      False






      def 					A__   (			self      :		Dict		)	->	str:


       '''simple docstring'''

       super().setUp()

       lowercase       : Dict						=[
           '''<d>''',
           '''</d>''',
           '''<s>''',
           '''</s>''',
           '''</_>''',
           '''<unk>''',
           '''<pad>''',
           '''</n>''',
           '''我''',
           '''是''',
           '''C''',
           '''P''',
           '''M''',
           '''A''',
           '''n''',
           '''t''',
       ]
       lowercase       : Dict						=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 					A__   (			self      :		List[Any]		)	->	Optional[int]:


       '''simple docstring'''

       lowercase       : str						=CpmAntTokenizer.from_pretrained('''openbmb/cpm-ant-10b'''		)
       lowercase       : Tuple						='''今天天气真好！'''
       lowercase       : Optional[Any]						=['''今天''', '''天气''', '''真''', '''好''', '''！''']
       lowercase       : Dict						=tokenizer.tokenize(UpperCAmelCase		)
       self.assertListEqual(UpperCAmelCase  ,   UpperCAmelCase		)
       lowercase       : str						='''今天天气真好！'''
       lowercase       : Dict						=[tokenizer.bos_token] + tokens

       lowercase       : int						=[6, 9802, 1_4962, 2082, 831, 244]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase		)  ,   UpperCAmelCase		)

       lowercase       : Tuple						=tokenizer.decode(UpperCAmelCase		)
       self.assertEqual(UpperCAmelCase  ,   UpperCAmelCase		)











'''simple docstring'''



import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict
@dataclass
class UpperCAmelCase_       (     __A					):




      """simple docstring"""




      UpperCamelCase_             =      ComputeEnvironment.AMAZON_SAGEMAKER
      UpperCamelCase_             =      True
      UpperCamelCase_             =      '''ml.p3.2xlarge'''
      UpperCamelCase_             =      '''accelerate_sagemaker_execution_role'''
      UpperCamelCase_             =      '''hf-sm'''
      UpperCamelCase_             =      '''us-east-1'''
      UpperCamelCase_             =      1
      UpperCamelCase_             =      '''accelerate-sagemaker-1'''
      UpperCamelCase_             =      '''1.6'''
      UpperCamelCase_             =      '''4.4'''
      UpperCamelCase_             =      '''train.py'''
      UpperCamelCase_             =      [
          '''--model_name_or_path''',
          '''bert''',
          '''--do_train''',
          '''False''',
          '''--epochs''',
          '''3''',
          '''--learning_rate''',
          '''5e-5''',
          '''--max_steps''',
          '''50.5''',
      ]
      UpperCamelCase_             =      [
          '''--model_name_or_path''',
          '''bert''',
          '''--do_train''',
          '''--do_test''',
          '''False''',
          '''--do_predict''',
          '''--epochs''',
          '''3''',
          '''--learning_rate''',
          '''5e-5''',
          '''--max_steps''',
          '''50.5''',
      ]





class UpperCAmelCase_       (     unittest.TestCase					):




      """simple docstring"""




      def 					A__   (			self      :		int		)	->	Dict:


       '''simple docstring'''

       lowercase       : str						=_convert_nargs_to_dict(MockLaunchConfig.success_training_script_args		)
       assert isinstance(converted_args['''model_name_or_path''']  ,   UpperCAmelCase		)
       assert isinstance(converted_args['''do_train''']  ,   UpperCAmelCase		)
       assert isinstance(converted_args['''epochs''']  ,   UpperCAmelCase		)
       assert isinstance(converted_args['''learning_rate''']  ,   UpperCAmelCase		)
       assert isinstance(converted_args['''max_steps''']  ,   UpperCAmelCase		)

       with pytest.raises(UpperCAmelCase		):
        _convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args		)



