

'''simple docstring'''





import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
)

from ...test_tokenization_common import TokenizerTesterMixin


UpperCamelCase_    						=       get_tests_dir("""fixtures/test_sentencepiece.model""")


if is_torch_available():
							from transformers.models.mbart.modeling_mbart import shift_tokens_right

UpperCamelCase_    						=       250004
UpperCamelCase_    						=       250020





@require_sentencepiece
@require_tokenizers
class 		__SCREAMING_SNAKE_CASE							(			lowercase__						,							unittest.TestCase      ):
				lowerCamelCase_		       =    MBartTokenizer
				lowerCamelCase_		       =    MBartTokenizerFast
				lowerCamelCase_		       =    True
				lowerCamelCase_		       =    True







				def  lowerCamelCase_	(       self     :		Dict   ):
										'''simple docstring'''
										super().setUp()

										# We have a SentencePiece fixture for testing
										lowercase :							Dict    		=MBartTokenizer(__A		,					keep_accents=__A   )
										tokenizer.save_pretrained(self.tmpdirname   )







				def  lowerCamelCase_	(       self     :		Tuple   ):
										'''simple docstring'''
										lowercase :							List[str]    		=MBartTokenizer(__A		,					keep_accents=__A   )

										lowercase :							List[Any]    		=tokenizer.tokenize('''This is a test'''   )
										self.assertListEqual(__A		,					['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']   )

										self.assertListEqual(
										    tokenizer.convert_tokens_to_ids(__A   )		,					[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]		,					)

										lowercase :							Optional[Any]    		=tokenizer.tokenize('''I was born in 92000, and this is falsé.'''   )
										self.assertListEqual(
										    __A		,					[
										        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 :							Tuple    		=tokenizer.convert_tokens_to_ids(__A   )
										self.assertListEqual(
										    __A		,					[
										        value + tokenizer.fairseq_offset
										        for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
										        #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
										    ]		,					)

										lowercase :							Union[str, Any]    		=tokenizer.convert_ids_to_tokens(__A   )
										self.assertListEqual(
										    __A		,					[
										        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>''',
										        '''.''',
										    ]		,					)







				def  lowerCamelCase_	(       self     :		Tuple   ):
										'''simple docstring'''
										if not self.test_slow_tokenizer:
																# as we don't have a slow version, we can't compare the outputs between slow and fast versions
																return

										lowercase :							int    		=(self.rust_tokenizer_class, '''hf-internal-testing/tiny-random-mbart''', {})
										for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
																						lowercase :							Union[str, Any]    		=self.rust_tokenizer_class.from_pretrained(__A		,					**__A   )
																						lowercase :							Any    		=self.tokenizer_class.from_pretrained(__A		,					**__A   )

																						lowercase :							Optional[int]    		=tempfile.mkdtemp()

																						lowercase :							Optional[Any]    		=tokenizer_r.save_pretrained(__A   )
																						lowercase :							Tuple    		=tokenizer_p.save_pretrained(__A   )

																						# Checks it save with the same files + the tokenizer.json file for the fast one
																						self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files   )   )
																						lowercase :							Any    		=tuple(f for f in tokenizer_r_files if '''tokenizer.json''' not in f   )
																						self.assertSequenceEqual(__A		,					__A   )

																						# Checks everything loads correctly in the same way
																						lowercase :							int    		=tokenizer_r.from_pretrained(__A   )
																						lowercase :							Union[str, Any]    		=tokenizer_p.from_pretrained(__A   )

																						# Check special tokens are set accordingly on Rust and Python
																						for key in tokenizer_pp.special_tokens_map:
																												self.assertTrue(hasattr(__A		,					__A   )   )
																												# self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
																												# self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

																						shutil.rmtree(__A   )

																						# Save tokenizer rust, legacy_format=True
																						lowercase :							int    		=tempfile.mkdtemp()

																						lowercase :							Optional[Any]    		=tokenizer_r.save_pretrained(__A		,					legacy_format=__A   )
																						lowercase :							Optional[int]    		=tokenizer_p.save_pretrained(__A   )

																						# Checks it save with the same files
																						self.assertSequenceEqual(__A		,					__A   )

																						# Checks everything loads correctly in the same way
																						lowercase :							int    		=tokenizer_r.from_pretrained(__A   )
																						lowercase :							str    		=tokenizer_p.from_pretrained(__A   )

																						# Check special tokens are set accordingly on Rust and Python
																						for key in tokenizer_pp.special_tokens_map:
																												self.assertTrue(hasattr(__A		,					__A   )   )

																						shutil.rmtree(__A   )

																						# Save tokenizer rust, legacy_format=False
																						lowercase :							Union[str, Any]    		=tempfile.mkdtemp()

																						lowercase :							int    		=tokenizer_r.save_pretrained(__A		,					legacy_format=__A   )
																						lowercase :							Any    		=tokenizer_p.save_pretrained(__A   )

																						# Checks it saved the tokenizer.json file
																						self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files   )   )

																						# Checks everything loads correctly in the same way
																						lowercase :							List[Any]    		=tokenizer_r.from_pretrained(__A   )
																						lowercase :							Optional[int]    		=tokenizer_p.from_pretrained(__A   )

																						# Check special tokens are set accordingly on Rust and Python
																						for key in tokenizer_pp.special_tokens_map:
																												self.assertTrue(hasattr(__A		,					__A   )   )

																						shutil.rmtree(__A   )





@require_torch
@require_sentencepiece
@require_tokenizers
class 		__SCREAMING_SNAKE_CASE							(			unittest.TestCase      ):
				lowerCamelCase_		       =    'facebook/mbart-large-en-ro'
				lowerCamelCase_		       =    [
				    ' UN Chief Says There Is No Military Solution in Syria',
				    ' Secretary-General Ban Ki-moon says his response to Russia\'s stepped up military support for Syria is that \"there is no military solution\" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.',
				]
				lowerCamelCase_		       =    [
				    'Şeful ONU declară că nu există o soluţie militară în Siria',
				    'Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei'
				    ' pentru Siria este că \"nu există o soluţie militară\" la conflictul de aproape cinci ani şi că noi arme nu vor'
				    ' face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.',
				]
				lowerCamelCase_		       =    [82_74, 12_78_73, 2_59_16, 7, 86_22, 20_71, 4_38, 6_74_85, 53, 18_78_95, 23, 5_17_12, 2, EN_CODE]







				@classmethod
				def  lowerCamelCase_	(       cls     :		Optional[int]   ):
										'''simple docstring'''
										lowercase :							MBartTokenizer    		=MBartTokenizer.from_pretrained(
										    cls.checkpoint_name		,					src_lang='''en_XX'''		,					tgt_lang='''ro_RO'''   )
										lowercase :							str    		=1
										return cls







				def  lowerCamelCase_	(       self     :		str   ):
										'''simple docstring'''
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ar_AR''']		,					250001   )
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''en_EN''']		,					250004   )
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ro_RO''']		,					250020   )







				def  lowerCamelCase_	(       self     :		Any   ):
										'''simple docstring'''
										lowercase :							List[str]    		=self.tokenizer.batch_encode_plus(self.src_text   ).input_ids[0]
										self.assertListEqual(self.expected_src_tokens		,					__A   )







				def  lowerCamelCase_	(       self     :		Union[str, Any]   ):
										'''simple docstring'''
										self.assertIn(__A		,					self.tokenizer.all_special_ids   )
										lowercase :							Optional[Any]    		=[RO_CODE, 884, 9019, 96, 9, 916, 86792, 36, 18743, 15596, 5, 2]
										lowercase :							Optional[int]    		=self.tokenizer.decode(__A		,					skip_special_tokens=__A   )
										lowercase :							Any    		=self.tokenizer.decode(generated_ids[1:]		,					skip_special_tokens=__A   )
										self.assertEqual(__A		,					__A   )
										self.assertNotIn(self.tokenizer.eos_token		,					__A   )







				def  lowerCamelCase_	(       self     :		Union[str, Any]   ):
										'''simple docstring'''
										lowercase :							Optional[int]    		=['''this is gunna be a long sentence ''' * 20]
										assert isinstance(src_text[0]		,					__A   )
										lowercase :							Optional[int]    		=10
										lowercase :							List[Any]    		=self.tokenizer(__A		,					max_length=__A		,					truncation=__A   ).input_ids[0]
										self.assertEqual(ids[-2]		,					2   )
										self.assertEqual(ids[-1]		,					__A   )
										self.assertEqual(len(__A   )		,					__A   )







				def  lowerCamelCase_	(       self     :		List[Any]   ):
										'''simple docstring'''
										self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']   )		,					[250026, 250001]   )







				def  lowerCamelCase_	(       self     :		int   ):
										'''simple docstring'''
										lowercase :							Any    		=tempfile.mkdtemp()
										lowercase :							Tuple    		=self.tokenizer.fairseq_tokens_to_ids
										self.tokenizer.save_pretrained(__A   )
										lowercase :							int    		=MBartTokenizer.from_pretrained(__A   )
										self.assertDictEqual(new_tok.fairseq_tokens_to_ids		,					__A   )







				@require_torch
				def  lowerCamelCase_	(       self     :		Optional[Any]   ):
										'''simple docstring'''
										lowercase :							Union[str, Any]    		=self.tokenizer(self.src_text		,					text_target=self.tgt_text		,					padding=__A		,					return_tensors='''pt'''   )
										lowercase :							Union[str, Any]    		=shift_tokens_right(batch['''labels''']		,					self.tokenizer.pad_token_id   )

										# fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
										assert batch.input_ids[1][-2:].tolist() == [2, EN_CODE]
										assert batch.decoder_input_ids[1][0].tolist() == RO_CODE
										assert batch.decoder_input_ids[1][-1] == 2
										assert batch.labels[1][-2:].tolist() == [2, RO_CODE]







				@require_torch
				def  lowerCamelCase_	(       self     :		str   ):
										'''simple docstring'''
										lowercase :							Optional[int]    		=self.tokenizer(
										    self.src_text		,					text_target=self.tgt_text		,					padding=__A		,					truncation=__A		,					max_length=len(self.expected_src_tokens   )		,					return_tensors='''pt'''		,					)

										lowercase :							Tuple    		=shift_tokens_right(batch['''labels''']		,					self.tokenizer.pad_token_id   )

										self.assertIsInstance(__A		,					__A   )

										self.assertEqual((2, 14)		,					batch.input_ids.shape   )
										self.assertEqual((2, 14)		,					batch.attention_mask.shape   )
										lowercase :							Union[str, Any]    		=batch.input_ids.tolist()[0]
										self.assertListEqual(self.expected_src_tokens		,					__A   )
										self.assertEqual(2		,					batch.decoder_input_ids[0, -1]   )  # EOS
										# Test that special tokens are reset
										self.assertEqual(self.tokenizer.prefix_tokens		,					[]   )
										self.assertEqual(self.tokenizer.suffix_tokens		,					[self.tokenizer.eos_token_id, EN_CODE]   )







				def  lowerCamelCase_	(       self     :		Union[str, Any]   ):
										'''simple docstring'''
										lowercase :							str    		=self.tokenizer(self.src_text		,					padding=__A		,					truncation=__A		,					max_length=3		,					return_tensors='''pt'''   )
										lowercase :							Optional[Any]    		=self.tokenizer(
										    text_target=self.tgt_text		,					padding=__A		,					truncation=__A		,					max_length=10		,					return_tensors='''pt'''   )
										lowercase :							Optional[int]    		=targets['''input_ids''']
										lowercase :							List[str]    		=shift_tokens_right(__A		,					self.tokenizer.pad_token_id   )

										self.assertEqual(batch.input_ids.shape[1]		,					3   )
										self.assertEqual(batch.decoder_input_ids.shape[1]		,					10   )







				@require_torch
				def  lowerCamelCase_	(       self     :		Tuple   ):
										'''simple docstring'''
										lowercase :							Dict    		=self.tokenizer._build_translation_inputs(
										    '''A test'''		,					return_tensors='''pt'''		,					src_lang='''en_XX'''		,					tgt_lang='''ar_AR'''   )

										self.assertEqual(
										    nested_simplify(__A   )		,					{
										        # A, test, EOS, en_XX
										        '''input_ids''': [[62, 3034, 2, 250004]],
										        '''attention_mask''': [[1, 1, 1, 1]],
										        # ar_AR
										        '''forced_bos_token_id''': 250001,
										    }		,					)







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 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[Any]				)			->						Dict:
       assert "mock" in _fsspec_registry
       assert "bz2" in _fsspec_registry
def 							SCREAMING_SNAKE_CASE_	(					)			->						Union[str, Any]:
       assert "mock" not in _fsspec_registry
       assert "bz2" in _fsspec_registry
def 							SCREAMING_SNAKE_CASE_	(					)			->						Dict:
       SCREAMING_SNAKE_CASE_							:				Optional[Any]		='''mock-s3-bucket'''
       SCREAMING_SNAKE_CASE_							:				Any		=f's3://{mock_bucket}'
       SCREAMING_SNAKE_CASE_							:				Dict		=extract_path_from_uri(UpperCAmelCase_				)
       assert dataset_path.startswith('''s3://'''				) is False

       SCREAMING_SNAKE_CASE_							:				Dict		='''./local/path'''
       SCREAMING_SNAKE_CASE_							:				str		=extract_path_from_uri(UpperCAmelCase_				)
       assert dataset_path == new_dataset_path
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Union[str, Any]				)			->						List[str]:
       SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=is_remote_filesystem(UpperCAmelCase_				)
       assert is_remote is True

       SCREAMING_SNAKE_CASE_							:				Dict		=fsspec.filesystem('''file'''				)

       SCREAMING_SNAKE_CASE_							:				Optional[int]		=is_remote_filesystem(UpperCAmelCase_				)
       assert is_remote is False
@pytest.mark.parametrize('''compression_fs_class'''			,							UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Union[str, Any]			,							UpperCAmelCase_	:     Any			,							UpperCAmelCase_	:     Optional[Any]			,							UpperCAmelCase_	:     Optional[Any]			,							UpperCAmelCase_	:     int			,							UpperCAmelCase_	:     str			,							UpperCAmelCase_	:     Any				)			->						List[Any]:
       SCREAMING_SNAKE_CASE_							:				str		={'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_file, '''bz2''': bza_file, '''lz4''': lza_file}
       SCREAMING_SNAKE_CASE_							:				List[Any]		=input_paths[compression_fs_class.protocol]
       if input_path is None:
              SCREAMING_SNAKE_CASE_							:				List[str]		=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(UpperCAmelCase_				)
       SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=fsspec.filesystem(compression_fs_class.protocol			,							fo=UpperCAmelCase_				)
       assert isinstance(UpperCAmelCase_			,							UpperCAmelCase_				)
       SCREAMING_SNAKE_CASE_							:				str		=os.path.basename(UpperCAmelCase_				)
       SCREAMING_SNAKE_CASE_							:				Optional[Any]		=expected_filename[: expected_filename.rindex('''.'''				)]
       assert fs.glob('''*'''				) == [expected_filename]
       with fs.open(UpperCAmelCase_			,							'''r'''			,							encoding='''utf-8'''				) as f, open(UpperCAmelCase_			,							encoding='''utf-8'''				) as expected_file:
              assert f.read() == expected_file.read()
@pytest.mark.parametrize('''protocol'''			,							['''zip''', '''gzip''']				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Any			,							UpperCAmelCase_	:     Union[str, Any]			,							UpperCAmelCase_	:     str				)			->						Any:
       SCREAMING_SNAKE_CASE_							:				Tuple		={'''zip''': zip_jsonl_path, '''gzip''': jsonl_gz_path}
       SCREAMING_SNAKE_CASE_							:				List[Any]		=compressed_file_paths[protocol]
       SCREAMING_SNAKE_CASE_							:				str		='''dataset.jsonl'''
       SCREAMING_SNAKE_CASE_							:				Dict		=f'{protocol}://{member_file_path}::{compressed_file_path}'
       SCREAMING_SNAKE_CASE_	,     *SCREAMING_SNAKE_CASE_							:				Dict		=fsspec.get_fs_token_paths(UpperCAmelCase_				)
       assert fs.isfile(UpperCAmelCase_				)
       assert not fs.isfile('''non_existing_''' + member_file_path				)
@pytest.mark.integration
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[str]			,							UpperCAmelCase_	:     Optional[int]			,							UpperCAmelCase_	:     Optional[int]			,							UpperCAmelCase_	:     int				)			->						int:
       SCREAMING_SNAKE_CASE_							:				Dict		=hf_api.dataset_info(UpperCAmelCase_			,							token=UpperCAmelCase_				)
       SCREAMING_SNAKE_CASE_							:				Optional[int]		=HfFileSystem(repo_info=UpperCAmelCase_			,							token=UpperCAmelCase_				)
       assert sorted(hffs.glob('''*'''				)				) == [".gitattributes", "data"]
       assert hffs.isdir('''data'''				)
       assert hffs.isfile('''.gitattributes'''				) and hffs.isfile('''data/text_data.txt'''				)
       with open(UpperCAmelCase_				) as f:
              assert hffs.open('''data/text_data.txt'''			,							'''r'''				).read() == f.read()

def 							SCREAMING_SNAKE_CASE_	(					)			->						Union[str, Any]:
       SCREAMING_SNAKE_CASE_							:				Tuple		='''bz2'''

       # Import module
       import datasets.filesystems

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

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