
import json
import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin





class 				UpperCAmelCase (    __SCREAMING_SNAKE_CASE     ,     unittest.TestCase    ):




	'''simple docstring'''





	snake_case_          =	CTRLTokenizer
	snake_case_          =	False
	snake_case_          =	False






	def 							UpperCamelCase_    (			self   :					int					):
					super().setUp()

					# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
					__A       =					["adapt", "re@@", "a@@", "apt", "c@@", "t", "<unk>"]
					__A       =					dict(zip(A				,range(len(A					)					)					)					)
					__A       =					["#version: 0.2", "a p", "ap t</w>", "r e", "a d", "ad apt</w>", ""]
					__A       =					{"unk_token": "<unk>"}

					__A       =					os.path.join(self.tmpdirname				,VOCAB_FILES_NAMES["vocab_file"]					)
					__A       =					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(A					) + "\n"					)
					with open(self.merges_file				,"w"				,encoding="utf-8"					) as fp:
									fp.write("\n".join(A					)					)






	def 							UpperCamelCase_    (			self   :					int				,**A   :					str					):
					kwargs.update(self.special_tokens_map					)
					return CTRLTokenizer.from_pretrained(self.tmpdirname				,**A					)






	def 							UpperCamelCase_    (			self   :					List[str]				,A   :					Optional[int]					):
					__A       =					"adapt react readapt apt"
					__A       =					"adapt react readapt apt"
					return input_text, output_text







	def 							UpperCamelCase_    (			self   :					Optional[int]					):
					__A       =					CTRLTokenizer(self.vocab_file				,self.merges_file				,**self.special_tokens_map					)
					__A       =					"adapt react readapt apt"
					__A       =					"adapt re@@ a@@ c@@ t re@@ adapt apt".split()
					__A       =					tokenizer.tokenize(A					)
					self.assertListEqual(A				,A					)

					__A       =					tokens + [tokenizer.unk_token]

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





# 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 	_lowerCAmelCase (    A__=None						):
      if subparsers is not None:
            lowercase__  =	subparsers.add_parser('test'						)
      else:
            lowercase__  =	argparse.ArgumentParser('Accelerate test command'						)

      parser.add_argument(
          '--config_file'    ,	default=A__    ,	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=A__						)
      return parser

def 	_lowerCAmelCase (    A__						):
      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(A__    ,	env=os.environ.copy()						)
      if result.returncode == 0:
            print('Test is a success! You are ready for your distributed training!'						)

def 	_lowerCAmelCase (    ):
      lowercase__  =	test_command_parser()
      lowercase__  =	parser.parse_args()
      test_command(A__						)


if __name__ == "__main__":
       main()
