



import unittest

from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


a__   :					Tuple 						=      get_tests_dir("fixtures/test_sentencepiece.model")



@require_sentencepiece
@require_tokenizers
class    UpperCAmelCase__(				lowerCamelCase  ,				unittest.TestCase						):

   '''simple docstring'''




   A     :	List[Any]												=     ReformerTokenizer
   A     :	Union[str, Any]												=     ReformerTokenizerFast
   A     :	str												=     True
   A     :	Union[str, Any]												=     False
   A     :	Tuple												=     True


   def       UpperCAmelCase		(    self	:      Optional[int])						->					Union[str, Any]:




         """simple docstring"""

         super().setUp()

         lowercase__  =	ReformerTokenizer(lowerCAmelCase      ,					keep_accents=lowerCAmelCase)
         tokenizer.save_pretrained(self.tmpdirname)


   def       UpperCAmelCase		(    self	:      int)						->					Optional[Any]:




         """simple docstring"""

         lowercase__  =	'<s>'
         lowercase__  =	1

         self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCAmelCase)      ,					lowerCAmelCase)
         self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCAmelCase)      ,					lowerCAmelCase)


   def       UpperCAmelCase		(    self	:      Optional[int])						->					List[str]:




         """simple docstring"""

         lowercase__  =	list(self.get_tokenizer().get_vocab().keys())

         self.assertEqual(vocab_keys[0]      ,					'<unk>')
         self.assertEqual(vocab_keys[1]      ,					'<s>')
         self.assertEqual(vocab_keys[-1]      ,					'j')
         self.assertEqual(len(lowerCAmelCase)      ,					10_00)


   def       UpperCAmelCase		(    self	:      Tuple)						->					List[str]:




         """simple docstring"""

         self.assertEqual(self.get_tokenizer().vocab_size      ,					10_00)


   def       UpperCAmelCase		(    self	:      List[str])						->					List[str]:




         """simple docstring"""

         if not self.test_rust_tokenizer:
               return

         lowercase__  =	self.get_tokenizer()
         lowercase__  =	self.get_rust_tokenizer()

         lowercase__  =	'I was born in 92000, and this is falsé.'

         lowercase__  =	tokenizer.tokenize(lowerCAmelCase)
         lowercase__  =	rust_tokenizer.tokenize(lowerCAmelCase)
         self.assertListEqual(lowerCAmelCase      ,					lowerCAmelCase)

         lowercase__  =	tokenizer.encode(lowerCAmelCase      ,					add_special_tokens=lowerCAmelCase)
         lowercase__  =	rust_tokenizer.encode(lowerCAmelCase      ,					add_special_tokens=lowerCAmelCase)
         self.assertListEqual(lowerCAmelCase      ,					lowerCAmelCase)

         lowercase__  =	self.get_rust_tokenizer()
         lowercase__  =	tokenizer.encode(lowerCAmelCase)
         lowercase__  =	rust_tokenizer.encode(lowerCAmelCase)
         self.assertListEqual(lowerCAmelCase      ,					lowerCAmelCase)


   def       UpperCAmelCase		(    self	:      Optional[Any]      ,					lowerCAmelCase	:      List[Any]=15)						->					List[Any]:




         """simple docstring"""

         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
               with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''):
                     lowercase__  =	self.rust_tokenizer_class.from_pretrained(lowerCAmelCase      ,					**lowerCAmelCase)

                     # Simple input
                     lowercase__  =	'This is a simple input'
                     lowercase__  =	['This is a simple input 1', 'This is a simple input 2']
                     lowercase__  =	('This is a simple input', 'This is a pair')
                     lowercase__  =	[
                         ('This is a simple input 1', 'This is a simple input 2'),
                         ('This is a simple pair 1', 'This is a simple pair 2'),
                     ]

                     # Simple input tests
                     self.assertRaises(lowerCAmelCase      ,					tokenizer_r.encode      ,					lowerCAmelCase      ,					max_length=lowerCAmelCase      ,					padding='max_length')

                     # Simple input
                     self.assertRaises(lowerCAmelCase      ,					tokenizer_r.encode_plus      ,					lowerCAmelCase      ,					max_length=lowerCAmelCase      ,					padding='max_length')

                     # Simple input
                     self.assertRaises(
                         lowerCAmelCase      ,					tokenizer_r.batch_encode_plus      ,					lowerCAmelCase      ,					max_length=lowerCAmelCase      ,					padding='max_length'      ,					)

                     # Pair input
                     self.assertRaises(lowerCAmelCase      ,					tokenizer_r.encode      ,					lowerCAmelCase      ,					max_length=lowerCAmelCase      ,					padding='max_length')

                     # Pair input
                     self.assertRaises(lowerCAmelCase      ,					tokenizer_r.encode_plus      ,					lowerCAmelCase      ,					max_length=lowerCAmelCase      ,					padding='max_length')

                     # Pair input
                     self.assertRaises(
                         lowerCAmelCase      ,					tokenizer_r.batch_encode_plus      ,					lowerCAmelCase      ,					max_length=lowerCAmelCase      ,					padding='max_length'      ,					)


   def       UpperCAmelCase		(    self	:      str)						->					List[Any]:




         """simple docstring"""

         pass


   def       UpperCAmelCase		(    self	:      List[Any])						->					Dict:




         """simple docstring"""

         lowercase__  =	ReformerTokenizer(lowerCAmelCase      ,					keep_accents=lowerCAmelCase)

         lowercase__  =	tokenizer.tokenize('This is a test')
         self.assertListEqual(lowerCAmelCase      ,					['▁This', '▁is', '▁a', '▁t', 'est'])

         self.assertListEqual(
             tokenizer.convert_tokens_to_ids(lowerCAmelCase)      ,					[2_85, 46, 10, 1_70, 3_82]      ,					)

         lowercase__  =	tokenizer.tokenize('I was born in 92000, and this is falsé.')
         self.assertListEqual(
             lowerCAmelCase      ,					[
                 SPIECE_UNDERLINE + 'I',
                 SPIECE_UNDERLINE + 'was',
                 SPIECE_UNDERLINE + 'b',
                 'or',
                 'n',
                 SPIECE_UNDERLINE + 'in',
                 SPIECE_UNDERLINE + '',
                 '9',
                 '2',
                 '0',
                 '0',
                 '0',
                 ',',
                 SPIECE_UNDERLINE + 'and',
                 SPIECE_UNDERLINE + 'this',
                 SPIECE_UNDERLINE + 'is',
                 SPIECE_UNDERLINE + 'f',
                 'al',
                 's',
                 'é',
                 '.',
             ]      ,					)
         lowercase__  =	tokenizer.convert_tokens_to_ids(lowerCAmelCase)
         self.assertListEqual(
             lowerCAmelCase      ,					[8, 21, 84, 55, 24, 19, 7, 0, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 0, 4]      ,					)

         lowercase__  =	tokenizer.convert_ids_to_tokens(lowerCAmelCase)
         self.assertListEqual(
             lowerCAmelCase      ,					[
                 SPIECE_UNDERLINE + 'I',
                 SPIECE_UNDERLINE + 'was',
                 SPIECE_UNDERLINE + 'b',
                 'or',
                 'n',
                 SPIECE_UNDERLINE + 'in',
                 SPIECE_UNDERLINE + '',
                 '<unk>',
                 '2',
                 '0',
                 '0',
                 '0',
                 ',',
                 SPIECE_UNDERLINE + 'and',
                 SPIECE_UNDERLINE + 'this',
                 SPIECE_UNDERLINE + 'is',
                 SPIECE_UNDERLINE + 'f',
                 'al',
                 's',
                 '<unk>',
                 '.',
             ]      ,					)


   @cached_property
   def       UpperCAmelCase		(    self	:      List[str])						->					Any:




         """simple docstring"""

         return ReformerTokenizer.from_pretrained('google/reformer-crime-and-punishment')


   @slow
   def       UpperCAmelCase		(    self	:      Dict)						->					List[Any]:




         """simple docstring"""

         lowercase__  =	'Hello World!'
         lowercase__  =	[1_26, 32, 2_62, 1_52, 38, 72, 2_87]

         self.assertListEqual(lowerCAmelCase      ,					self.big_tokenizer.encode(lowerCAmelCase))


   @slow
   def       UpperCAmelCase		(    self	:      Any)						->					int:




         """simple docstring"""

         lowercase__  =	(
             'This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'
             ' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'
         )
         lowercase__  =	[
             1_08,
             2_65,
             24,
             1_11,
             4,
             2_58,
             1_56,
             35,
             28,
             2_75,
             3,
             2_59,
             2_97,
             2_60,
             84,
             4,
             35,
             1_10,
             44,
             8,
             2_59,
             91,
             2_68,
             21,
             11,
             2_09,
             2_74,
             1_09,
             2_66,
             2_77,
             1_17,
             86,
             93,
             3_15,
             2_58,
             2_78,
             2_58,
             2_77,
             2_58,
             0,
             2_58,
             2_88,
             2_58,
             3_19,
             2_58,
             0,
             2_58,
             0,
             2_58,
             0,
             2_58,
             0,
             2_58,
             2_87,
             2_58,
             3_15,
             2_58,
             2_89,
             2_58,
             2_78,
             99,
             2_69,
             2_66,
             2_62,
             8,
             2_59,
             2_41,
             4,
             2_17,
             2_30,
             2_68,
             2_66,
             55,
             1_68,
             1_06,
             75,
             1_93,
             2_66,
             2_23,
             27,
             49,
             26,
             2_82,
             25,
             2_64,
             2_99,
             19,
             26,
             0,
             2_58,
             2_77,
             1_17,
             86,
             93,
             1_76,
             1_83,
             2_70,
             11,
             2_62,
             42,
             61,
             2_65,
         ]

         self.assertListEqual(lowerCAmelCase      ,					self.big_tokenizer.encode(lowerCAmelCase))


   @require_torch
   @slow
   def       UpperCAmelCase		(    self	:      str)						->					Optional[int]:




         """simple docstring"""

         import torch

         from transformers import ReformerConfig, ReformerModel

         # Build sequence
         lowercase__  =	list(self.big_tokenizer.get_vocab().keys())[:10]
         lowercase__  =	' '.join(lowerCAmelCase)
         lowercase__  =	self.big_tokenizer.encode_plus(lowerCAmelCase      ,					return_tensors='pt')
         lowercase__  =	self.big_tokenizer.batch_encode_plus([sequence, sequence]      ,					return_tensors='pt')

         lowercase__  =	ReformerConfig()
         # The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
         lowercase__  =	encoded_sequence['input_ids'].shape
         lowercase__  =	ReformerModel(lowerCAmelCase)

         # Reformer has config.vocab_size == tokenizer.vocab_size == len(tokenizer) - 1 = 320; len(tokenizer) is 321 (including a pad token with id 320)
         assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

         with torch.no_grad():
               model(**lowerCAmelCase)
               model(**lowerCAmelCase)



   @slow
   def       UpperCAmelCase		(    self	:      Any)						->					List[str]:




         """simple docstring"""

         lowercase__  =	{'input_ids': [[1_08, 2_65, 24, 1_11, 4, 2_58, 1_56, 7, 51, 2_79, 58, 7, 76, 25, 69, 2_78], [1_40, 2_43, 2_64, 1_34, 17, 2_67, 77, 2_63, 22, 2_62, 2_97, 2_58, 3_04, 1_77, 2_79, 2_66, 14, 89, 13, 35, 2_61, 2_99, 2_72, 1_37, 2_75, 2_78]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
         # fmt: on

         # This tokenizer does not know some characters like ")".
         # That is the reason why we use very simple texts here.
         # Also see https://github.com/huggingface/transformers/pull/11737#issuecomment-850769064
         lowercase__  =	[
             'This is a very simple sentence.',
             'The quick brown fox jumps over the lazy dog.',
         ]

         self.tokenizer_integration_test_util(
             expected_encoding=lowerCAmelCase      ,					model_name='google/reformer-crime-and-punishment'      ,					revision='0e6c3decb8211d49bf881013425dc8b0448b3f5a'      ,					padding=lowerCAmelCase      ,					sequences=lowerCAmelCase      ,					)





# 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()
