





'''simple docstring'''




import unittest

from transformers import CamembertTokenizer, CamembertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


_A:					Union[str, Any]							=				get_tests_dir("""fixtures/test_sentencepiece.model""")
_A:					str							=				get_tests_dir("""fixtures/test_sentencepiece_bpe.model""")

_A:					List[str]							=				"""pt""" if is_torch_available() else """tf"""






@require_sentencepiece
@require_tokenizers
class UpperCAmelCase							(		UpperCAmelCase_					,			unittest.TestCase							):
    _A :			Optional[Any]						   =       CamembertTokenizer
    _A :			int						   =       CamembertTokenizerFast
    _A :			List[Any]						   =       True
    _A :			List[str]						   =       True



    def 					__lowerCamelCase						(  self					):
     super().setUp()

     # We have a SentencePiece fixture for testing
     __UpperCAmelCase					=   CamembertTokenizer(__A					)
     tokenizer.save_pretrained(self.tmpdirname					)



    def 					__lowerCamelCase						(  self					):
     __UpperCAmelCase					=   '<pad>'
     __UpperCAmelCase					=   1

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



    def 					__lowerCamelCase						(  self					):
     __UpperCAmelCase					=   list(self.get_tokenizer().get_vocab().keys()					)

     self.assertEqual(vocab_keys[0]     ,			'<s>NOTUSED'					)
     self.assertEqual(vocab_keys[1]     ,			'<pad>'					)
     self.assertEqual(vocab_keys[-1]     ,			'<mask>'					)
     self.assertEqual(len(__A					)     ,			1_004					)



    def 					__lowerCamelCase						(  self					):
     self.assertEqual(self.get_tokenizer().vocab_size     ,			1_005					)



    def 					__lowerCamelCase						(  self					):
     __UpperCAmelCase					=   CamembertTokenizer(__A					)
     tokenizer.save_pretrained(self.tmpdirname					)
     __UpperCAmelCase					=   CamembertTokenizerFast.from_pretrained(self.tmpdirname					)

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

     __UpperCAmelCase					=   tokenizer.encode(__A					)
     __UpperCAmelCase					=   rust_tokenizer.encode(__A					)
     self.assertListEqual(__A     ,			__A					)

     __UpperCAmelCase					=   tokenizer.encode(__A     ,			add_special_tokens=__A					)
     __UpperCAmelCase					=   rust_tokenizer.encode(__A     ,			add_special_tokens=__A					)
     self.assertListEqual(__A     ,			__A					)

     # <unk> tokens are not the same for `rust` than for `slow`.
     # Because spm gives back raw token instead of `unk` in EncodeAsPieces
     # tokens = tokenizer.tokenize(sequence)
     __UpperCAmelCase					=   tokenizer.convert_ids_to_tokens(__A					)
     __UpperCAmelCase					=   rust_tokenizer.tokenize(__A					)
     self.assertListEqual(__A     ,			__A					)



    def 					__lowerCamelCase						(  self					):
     if not self.test_rust_tokenizer:
      return

     __UpperCAmelCase					=   self.get_tokenizer()
     __UpperCAmelCase					=   self.get_rust_tokenizer()

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

     __UpperCAmelCase					=   tokenizer.tokenize(__A					)
     __UpperCAmelCase					=   rust_tokenizer.tokenize(__A					)
     self.assertListEqual(__A     ,			__A					)

     __UpperCAmelCase					=   tokenizer.encode(__A     ,			add_special_tokens=__A					)
     __UpperCAmelCase					=   rust_tokenizer.encode(__A     ,			add_special_tokens=__A					)
     self.assertListEqual(__A     ,			__A					)

     __UpperCAmelCase					=   self.get_rust_tokenizer()
     __UpperCAmelCase					=   tokenizer.encode(__A					)
     __UpperCAmelCase					=   rust_tokenizer.encode(__A					)
     self.assertListEqual(__A     ,			__A					)




    @slow
    def 					__lowerCamelCase						(  self					):
     # fmt: off
     __UpperCAmelCase					=   {'input_ids': [[5, 54, 7_196, 297, 30, 23, 776, 18, 11, 3_215, 3_705, 8_252, 22, 3_164, 1_181, 2_116, 29, 16, 813, 25, 791, 3_314, 20, 3_446, 38, 27_575, 120, 6, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [5, 468, 17, 11, 9_088, 20, 1_517, 8, 22_804, 18_818, 10, 38, 629, 607, 607, 142, 19, 7_196, 867, 56, 10_326, 24, 2_267, 20, 416, 5_072, 15_612, 233, 734, 7, 2_399, 27, 16, 3_015, 1_649, 7, 24, 20, 4_338, 2_399, 27, 13, 3_400, 14, 13, 6_189, 8, 930, 9, 6]], '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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [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, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
     # fmt: on

     # camembert is a french model. So we also use french texts.
     __UpperCAmelCase					=   [
         'Le transformeur est un modèle d\'apprentissage profond introduit en 2017, '
         'utilisé principalement dans le domaine du traitement automatique des langues (TAL).',
         'À l\'instar des réseaux de neurones récurrents (RNN), les transformeurs sont conçus '
         'pour gérer des données séquentielles, telles que le langage naturel, pour des tâches '
         'telles que la traduction et la synthèse de texte.',
     ]

     self.tokenizer_integration_test_util(
         expected_encoding=__A     ,			model_name='camembert-base'     ,			revision='3a0641d9a1aeb7e848a74299e7e4c4bca216b4cf'     ,			sequences=__A     ,			)












'''simple docstring'''




import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class UpperCAmelCase							(		UpperCAmelCase_					,			unittest.TestCase							):
    _A :			List[str]						   =       MgpstrTokenizer
    _A :			Any						   =       False
    _A :			List[Any]						   =       {}
    _A :			int						   =       False



    def 					__lowerCamelCase						(  self					):
     super().setUp()

     # fmt: off
     __UpperCAmelCase					=   ['[GO]', '[s]', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
     # fmt: on
     __UpperCAmelCase					=   dict(zip(__A     ,			range(len(__A					)					)					)					)

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



    def 					__lowerCamelCase						(  self     ,			**__A					):
     return MgpstrTokenizer.from_pretrained(self.tmpdirname     ,			**__A					)



    def 					__lowerCamelCase						(  self     ,			__A					):
     __UpperCAmelCase					=   'tester'
     __UpperCAmelCase					=   'tester'
     return input_text, output_text



    @unittest.skip('MGP-STR always lower cases letters.'					)
    def 					__lowerCamelCase						(  self					):
     pass



    def 					__lowerCamelCase						(  self					):
     __UpperCAmelCase					=   self.get_tokenizers(do_lower_case=__A					)
     for tokenizer in tokenizers:
      with self.subTest(f'{tokenizer.__class__.__name__}'					):
       __UpperCAmelCase					=   '[SPECIAL_TOKEN]'

       tokenizer.add_special_tokens({'cls_token': special_token}					)
       __UpperCAmelCase					=   tokenizer.encode([special_token]     ,			add_special_tokens=__A					)
       self.assertEqual(len(__A					)     ,			1					)

       __UpperCAmelCase					=   tokenizer.decode(__A     ,			skip_special_tokens=__A					)
       self.assertTrue(special_token not in decoded					)



    def 					__lowerCamelCase						(  self					):
     __UpperCAmelCase					=   self.get_tokenizers()
     for tokenizer in tokenizers:
      with self.subTest(f'{tokenizer.__class__.__name__}'					):
       __UpperCAmelCase					,    __UpperCAmelCase					=   self.get_input_output_texts(__A					)

       __UpperCAmelCase					=   tokenizer.tokenize(__A					)
       __UpperCAmelCase					=   tokenizer.convert_tokens_to_ids(__A					)
       __UpperCAmelCase					=   tokenizer.encode(__A     ,			add_special_tokens=__A					)
       self.assertListEqual(__A     ,			__A					)

       __UpperCAmelCase					=   tokenizer.convert_ids_to_tokens(__A					)
       self.assertNotEqual(len(__A					)     ,			0					)
       __UpperCAmelCase					=   tokenizer.decode(__A					)
       self.assertIsInstance(__A     ,			__A					)

       self.assertEqual(text_a.replace(' '     ,			''					)     ,			__A					)



    @unittest.skip('MGP-STR tokenizer only handles one sequence.'					)
    def 					__lowerCamelCase						(  self					):
     pass




    @unittest.skip('inputs cannot be pretokenized in MgpstrTokenizer'					)
    def 					__lowerCamelCase						(  self					):
     pass





