





"""simple docstring"""







import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin




class __magic_name__   (       A__    ,unittest.TestCase		):
       UpperCamelCase    :						Dict      =	CTRLTokenizer
       UpperCamelCase    :						Tuple      =	False
       UpperCamelCase    :						Dict      =	False
       def 		_lowerCamelCase   (     self	):





         """simple docstring"""


         super().setUp()

         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         _lowerCAmelCase	      =					['adapt', 're@@', 'a@@', 'apt', 'c@@', 't', '<unk>']
         _lowerCAmelCase	      =					dict(zip(__magic_name__   ,  range(len(__magic_name__	)	)	)	)
         _lowerCAmelCase	      =					['#version: 0.2', 'a p', 'ap t</w>', 'r e', 'a d', 'ad apt</w>', '']
         _lowerCAmelCase	      =					{'unk_token': '<unk>'}

         _lowerCAmelCase	      =					os.path.join(self.tmpdirname   ,  VOCAB_FILES_NAMES['vocab_file']	)
         _lowerCAmelCase	      =					os.path.join(self.tmpdirname   ,  VOCAB_FILES_NAMES['merges_file']	)
         with open(self.vocab_file   ,  'w'   ,  encoding='utf-8'	) as fp:
           fp.write(json.dumps(__magic_name__	) + '\n'	)
         with open(self.merges_file   ,  'w'   ,  encoding='utf-8'	) as fp:
           fp.write('\n'.join(__magic_name__	)	)
       def 		_lowerCamelCase   (     self   ,  **__magic_name__	):





         """simple docstring"""


         kwargs.update(self.special_tokens_map	)
         return CTRLTokenizer.from_pretrained(self.tmpdirname   ,  **__magic_name__	)
       def 		_lowerCamelCase   (     self   ,  __magic_name__	):





         """simple docstring"""


         _lowerCAmelCase	      =					'adapt react readapt apt'
         _lowerCAmelCase	      =					'adapt react readapt apt'
         return input_text, output_text
       def 		_lowerCamelCase   (     self	):





         """simple docstring"""


         _lowerCAmelCase	      =					CTRLTokenizer(self.vocab_file   ,  self.merges_file   ,  **self.special_tokens_map	)
         _lowerCAmelCase	      =					'adapt react readapt apt'
         _lowerCAmelCase	      =					'adapt re@@ a@@ c@@ t re@@ adapt apt'.split()
         _lowerCAmelCase	      =					tokenizer.tokenize(__magic_name__	)
         self.assertListEqual(__magic_name__   ,  __magic_name__	)

         _lowerCAmelCase	      =					tokens + [tokenizer.unk_token]

         _lowerCAmelCase	      =					[0, 1, 2, 4, 5, 1, 0, 3, 6]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__	)   ,  __magic_name__	)











# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os

from accelerate.test_utils import execute_subprocess_async






def     a     (		lowerCamelCase_=None							):






				'''simple docstring'''
				if subparsers is not None:
								lowercase__  					=     subparsers.add_parser('''test'''							)
				else:
								lowercase__  					=     argparse.ArgumentParser('''Accelerate test command'''							)

				parser.add_argument(
				    '''--config_file'''						,  default=lowerCamelCase_						,  help=(
				        '''The path to use to store the config file. Will default to a file named default_config.yaml in the cache '''
				        '''location, which is the content of the environment `HF_HOME` suffixed with \'accelerate\', or if you don\'t have '''
				        '''such an environment variable, your cache directory (\'~/.cache\' or the content of `XDG_CACHE_HOME`) suffixed '''
				        '''with \'huggingface\'.'''
				    )						,  )

				if subparsers is not None:
								parser.set_defaults(func=lowerCamelCase_							)
				return parser






def     a     (		lowerCamelCase_							):






				'''simple docstring'''
				lowercase__  					=     os.path.sep.join(__file__.split(os.path.sep							)[:-2] + ['''test_utils''', '''scripts''', '''test_script.py''']							)

				if args.config_file is None:
								lowercase__  					=     script_name
				else:
								lowercase__  					=     F"""--config_file={args.config_file} {script_name}"""

				lowercase__  					=     ['''accelerate-launch'''] + test_args.split()
				lowercase__  					=     execute_subprocess_async(lowerCamelCase_						,  env=os.environ.copy()							)
				if result.returncode == 0:
								print('''Test is a success! You are ready for your distributed training!'''							)






def     a     (		):






				'''simple docstring'''
				lowercase__  					=     test_command_parser()
				lowercase__  					=     parser.parse_args()
				test_command(lowerCamelCase_							)


if __name__ == "__main__":
							main()




