






import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin



class 				_UpperCamelCase      (snake_case_				,		unittest.TestCase      ):
      snake_case_	=				BlenderbotSmallTokenizer
      snake_case_	=				False


      def 			__UpperCAmelCase		(						self						)->						Union[str, Any]:
           super().setUp()

           __lowerCAmelCase             =       ['__start__', 'adapt', 'act', 'ap@@', 'te', '__end__', '__unk__']
           __lowerCAmelCase             =       dict(zip(__lowercase       ,    range(len(__lowercase						)						)						)						)

           __lowerCAmelCase             =       ['#version: 0.2', 'a p', 't e</w>', 'ap t</w>', 'a d', 'ad apt</w>', 'a c', 'ac t</w>', '']
           __lowerCAmelCase             =       {'unk_token': '__unk__', 'bos_token': '__start__', 'eos_token': '__end__'}

           __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(__lowercase						) + "\n"						)
           with open(self.merges_file       ,    "w"       ,    encoding="utf-8"						) as fp:
                fp.write("\n".join(__lowercase						)						)


      def 			__UpperCAmelCase		(						self       ,    **__UpperCamelCase						)->						str:
           kwargs.update(self.special_tokens_map						)
           return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname       ,    **__lowercase						)


      def 			__UpperCAmelCase		(						self       ,    __UpperCamelCase						)->						Dict:
           __lowerCAmelCase             =       'adapt act apte'
           __lowerCAmelCase             =       'adapt act apte'
           return input_text, output_text


      def 			__UpperCAmelCase		(						self						)->						Optional[int]:
           __lowerCAmelCase             =       BlenderbotSmallTokenizer(self.vocab_file       ,    self.merges_file       ,    **self.special_tokens_map						)
           __lowerCAmelCase             =       'adapt act apte'
           __lowerCAmelCase             =       ['adapt', 'act', 'ap@@', 'te']
           __lowerCAmelCase             =       tokenizer.tokenize(__lowercase						)
           self.assertListEqual(__lowercase       ,    __lowercase						)

           __lowerCAmelCase             =       [tokenizer.bos_token] + tokens + [tokenizer.eos_token]

           __lowerCAmelCase             =       [0, 1, 2, 3, 4, 5]
           self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowercase						)       ,    __lowercase						)


      def 			__UpperCAmelCase		(						self						)->						Optional[int]:
           __lowerCAmelCase             =       BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"						)
           assert tok("sam"						).input_ids == [1_3_8_4]
           __lowerCAmelCase             =       'I am a small frog.'
           __lowerCAmelCase             =       tok([src_text]       ,    padding=__lowercase       ,    truncation=__lowercase						)['input_ids']
           __lowerCAmelCase             =       tok.batch_decode(__lowercase       ,    skip_special_tokens=__lowercase       ,    clean_up_tokenization_spaces=__lowercase						)[0]
           assert src_text != decoded  # I wish it did!
           assert decoded == "i am a small frog ."


      def 			__UpperCAmelCase		(						self						)->						Optional[Any]:
           __lowerCAmelCase             =       BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"						)
           __lowerCAmelCase             =       'I am a small frog .'
           __lowerCAmelCase             =       '.'
           __lowerCAmelCase             =       tok(__lowercase						)['input_ids']
           __lowerCAmelCase             =       tok(__lowercase						)['input_ids']

           assert encoded[-1] == encoded_dot[0]










'''simple docstring'''
# 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.

from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser


def       _lowercase							(					):
 __A	:		Dict	  =      ArgumentParser('Accelerate CLI tool',					usage='accelerate <command> [<args>]',					allow_abbrev=UpperCamelCase__      )
 __A	:		Any	  =      parser.add_subparsers(help='accelerate command helpers'      )

 # Register commands
 get_config_parser(subparsers=UpperCamelCase__      )
 env_command_parser(subparsers=UpperCamelCase__      )
 launch_command_parser(subparsers=UpperCamelCase__      )
 tpu_command_parser(subparsers=UpperCamelCase__      )
 test_command_parser(subparsers=UpperCamelCase__      )

 # Let's go
 __A	:		Optional[Any]	  =      parser.parse_args()

 if not hasattr(UpperCamelCase__,					'func'      ):
  parser.print_help()
  exit(1      )

 # Run
 args.func(UpperCamelCase__      )


if __name__ == "__main__":
 main()






