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


_lowerCamelCase       : Optional[Any]      					=		get_tests_dir('''fixtures/test_sentencepiece.model''')
_lowerCamelCase       : Optional[int]      					=		get_tests_dir('''fixtures/test_sentencepiece_bpe.model''')

_lowerCamelCase       : List[str]      					=		'''pt''' if is_torch_available() else '''tf'''


@require_sentencepiece
@require_tokenizers
class     lowercase     (  lowercase_					,							unittest.TestCase  ):
							lowercase__    :							str										=				CamembertTokenizer
							lowercase__    :							int										=				CamembertTokenizerFast
							lowercase__    :							Tuple										=				True
							lowercase__    :							Any										=				True




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



												'''simple docstring'''

												super().setUp()

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




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



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =							"""<pad>"""
												SCREAMING_SNAKE_CASE           =							1

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




							def 						__snake_case(    self :       Tuple   )       ->					int:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =							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 						__snake_case(    self :       Dict   )       ->					str:



												'''simple docstring'''

												self.assertEqual(self.get_tokenizer().vocab_size						,				1_005   )




							def 						__snake_case(    self :       Any   )       ->					List[Any]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =							CamembertTokenizer(a__   )
												tokenizer.save_pretrained(self.tmpdirname   )
												SCREAMING_SNAKE_CASE           =							CamembertTokenizerFast.from_pretrained(self.tmpdirname   )

												SCREAMING_SNAKE_CASE           =							"""I was born in 92000, and this is falsé."""

												SCREAMING_SNAKE_CASE           =							tokenizer.encode(a__   )
												SCREAMING_SNAKE_CASE           =							rust_tokenizer.encode(a__   )
												self.assertListEqual(a__						,				a__   )

												SCREAMING_SNAKE_CASE           =							tokenizer.encode(a__						,				add_special_tokens=a__   )
												SCREAMING_SNAKE_CASE           =							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)
												SCREAMING_SNAKE_CASE           =							tokenizer.convert_ids_to_tokens(a__   )
												SCREAMING_SNAKE_CASE           =							rust_tokenizer.tokenize(a__   )
												self.assertListEqual(a__						,				a__   )




							def 						__snake_case(    self :       Any   )       ->					int:



												'''simple docstring'''

												if not self.test_rust_tokenizer:
																	return

												SCREAMING_SNAKE_CASE           =							self.get_tokenizer()
												SCREAMING_SNAKE_CASE           =							self.get_rust_tokenizer()

												SCREAMING_SNAKE_CASE           =							"""I was born in 92000, and this is falsé."""

												SCREAMING_SNAKE_CASE           =							tokenizer.tokenize(a__   )
												SCREAMING_SNAKE_CASE           =							rust_tokenizer.tokenize(a__   )
												self.assertListEqual(a__						,				a__   )

												SCREAMING_SNAKE_CASE           =							tokenizer.encode(a__						,				add_special_tokens=a__   )
												SCREAMING_SNAKE_CASE           =							rust_tokenizer.encode(a__						,				add_special_tokens=a__   )
												self.assertListEqual(a__						,				a__   )

												SCREAMING_SNAKE_CASE           =							self.get_rust_tokenizer()
												SCREAMING_SNAKE_CASE           =							tokenizer.encode(a__   )
												SCREAMING_SNAKE_CASE           =							rust_tokenizer.encode(a__   )
												self.assertListEqual(a__						,				a__   )





							@slow
							def 						__snake_case(    self :       Dict   )       ->					int:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =							{"""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.
												SCREAMING_SNAKE_CASE           =							[
												    """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__						,				)












import importlib
import os

import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry

from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_filesystem

from .utils import require_lza, require_zstandard






def 	UpperCamelCase	(							snake_case__  : int	):




     '''simple docstring'''






     assert "mock" in _fsspec_registry
     assert "bz2" in _fsspec_registry






def 	UpperCamelCase	(							):




     '''simple docstring'''






     assert "mock" not in _fsspec_registry
     assert "bz2" in _fsspec_registry






def 	UpperCamelCase	(							):




     '''simple docstring'''






     __snake_case      :Tuple 							=    """mock-s3-bucket"""
     __snake_case      :Optional[Any] 							=    f'''s3://{mock_bucket}'''
     __snake_case      :Optional[int] 							=    extract_path_from_uri(snake_case__	)
     assert dataset_path.startswith("""s3://"""	) is False

     __snake_case      :Union[str, Any] 							=    """./local/path"""
     __snake_case      :List[str] 							=    extract_path_from_uri(snake_case__	)
     assert dataset_path == new_dataset_path






def 	UpperCamelCase	(							snake_case__  : str	):




     '''simple docstring'''






     __snake_case      :List[str] 							=    is_remote_filesystem(snake_case__	)
     assert is_remote is True

     __snake_case      :Any 							=    fsspec.filesystem("""file"""	)

     __snake_case      :Optional[Any] 							=    is_remote_filesystem(snake_case__	)
     assert is_remote is False






@pytest.mark.parametrize("""compression_fs_class"""						,snake_case__	)
def 	UpperCamelCase	(							snake_case__  : Optional[Any]						,snake_case__  : List[str]						,snake_case__  : int						,snake_case__  : List[Any]						,snake_case__  : Tuple						,snake_case__  : str						,snake_case__  : Optional[Any]	):




     '''simple docstring'''






     __snake_case      :Optional[int] 							=    {"""gzip""": gz_file, """xz""": xz_file, """zstd""": zstd_file, """bz2""": bza_file, """lz4""": lza_file}
     __snake_case      :Optional[Any] 							=    input_paths[compression_fs_class.protocol]
     if input_path is None:
          __snake_case      :Optional[int] 							=    f'''for \'{compression_fs_class.protocol}\' compression protocol, '''
          if compression_fs_class.protocol == "lz4":
               reason += require_lza.kwargs["reason"]
          elif compression_fs_class.protocol == "zstd":
               reason += require_zstandard.kwargs["reason"]
          pytest.skip(snake_case__	)
     __snake_case      :Optional[Any] 							=    fsspec.filesystem(compression_fs_class.protocol						,fo=snake_case__	)
     assert isinstance(snake_case__						,snake_case__	)
     __snake_case      :Dict 							=    os.path.basename(snake_case__	)
     __snake_case      :Dict 							=    expected_filename[: expected_filename.rindex("""."""	)]
     assert fs.glob("""*"""	) == [expected_filename]
     with fs.open(snake_case__						,"""r"""						,encoding="""utf-8"""	) as f, open(snake_case__						,encoding="""utf-8"""	) as expected_file:
          assert f.read() == expected_file.read()






@pytest.mark.parametrize("""protocol"""						,["""zip""", """gzip"""]	)
def 	UpperCamelCase	(							snake_case__  : List[Any]						,snake_case__  : List[Any]						,snake_case__  : Dict	):




     '''simple docstring'''






     __snake_case      :Optional[int] 							=    {"""zip""": zip_jsonl_path, """gzip""": jsonl_gz_path}
     __snake_case      :List[str] 							=    compressed_file_paths[protocol]
     __snake_case      :Optional[int] 							=    """dataset.jsonl"""
     __snake_case      :Optional[int] 							=    f'''{protocol}://{member_file_path}::{compressed_file_path}'''
     __snake_case							,			*__snake_case      :Optional[Any] 							=    fsspec.get_fs_token_paths(snake_case__	)
     assert fs.isfile(snake_case__	)
     assert not fs.isfile("""non_existing_""" + member_file_path	)






@pytest.mark.integration
def 	UpperCamelCase	(							snake_case__  : Optional[int]						,snake_case__  : Dict						,snake_case__  : List[str]						,snake_case__  : Dict	):




     '''simple docstring'''






     __snake_case      :List[Any] 							=    hf_api.dataset_info(snake_case__						,token=snake_case__	)
     __snake_case      :List[str] 							=    HfFileSystem(repo_info=snake_case__						,token=snake_case__	)
     assert sorted(hffs.glob("""*"""	)	) == [".gitattributes", "data"]
     assert hffs.isdir("""data"""	)
     assert hffs.isfile(""".gitattributes"""	) and hffs.isfile("""data/text_data.txt"""	)
     with open(snake_case__	) as f:
          assert hffs.open("""data/text_data.txt"""						,"""r"""	).read() == f.read()






def 	UpperCamelCase	(							):




     '''simple docstring'''






     __snake_case      :str 							=    """bz2"""

     # Import module
     import datasets.filesystems

     # Overwrite protocol and reload
     register_implementation(snake_case__						,snake_case__						,clobber=snake_case__	)
     with pytest.warns(snake_case__	) as warning_info:
          importlib.reload(datasets.filesystems	)

     assert len(snake_case__	) == 1
     assert (
         str(warning_info[0].message	)
         == f'''A filesystem protocol was already set for {protocol} and will be overwritten.'''
     )


