
"""simple docstring"""

import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartaaTokenizer, MBartaaTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)

from ...test_tokenization_common import TokenizerTesterMixin


_A						=			get_tests_dir('fixtures/test_sentencepiece.model')

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

_A						=			2_5_0_0_0_4
_A						=			2_5_0_0_2_0






@require_sentencepiece
@require_tokenizers
class 	_lowercase       (    __UpperCAmelCase    ,	unittest.TestCase		):
	lowercase_				=     MBartaaTokenizer
	lowercase_				=     MBartaaTokenizerFast
	lowercase_				=     True
	lowercase_				=     True




	def       _UpperCamelCase   (			self )		->							Optional[int]:
			super().setUp()

			# We have a SentencePiece fixture for testing
			lowerCamelCase					:      Dict          =   MBartaaTokenizer(UpperCAmelCase_		,			src_lang='en_XX'		,			tgt_lang='ro_RO'		,			keep_accents=UpperCAmelCase_ )
			tokenizer.save_pretrained(self.tmpdirname )




	def       _UpperCamelCase   (			self )		->							int:
			lowerCamelCase					:      Optional[int]          =   '<s>'
			lowerCamelCase					:      List[Any]          =   0

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




	def       _UpperCamelCase   (			self )		->							List[Any]:
			lowerCamelCase					:      List[str]          =   list(self.get_tokenizer().get_vocab().keys() )

			self.assertEqual(vocab_keys[0]		,			'<s>' )
			self.assertEqual(vocab_keys[1]		,			'<pad>' )
			self.assertEqual(vocab_keys[-1]		,			'<mask>' )
			self.assertEqual(len(UpperCAmelCase_ )		,			1054 )




	def       _UpperCamelCase   (			self )		->							Any:
			self.assertEqual(self.get_tokenizer().vocab_size		,			1054 )




	def       _UpperCamelCase   (			self )		->							Any:
			lowerCamelCase					:      Optional[Any]          =   MBartaaTokenizer(UpperCAmelCase_		,			src_lang='en_XX'		,			tgt_lang='ro_RO'		,			keep_accents=UpperCAmelCase_ )

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

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

			lowerCamelCase					:      Tuple          =   tokenizer.tokenize('I was born in 92000, and this is falsé.' )
			self.assertListEqual(
			    UpperCAmelCase_		,			[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', '.']		,			)
			lowerCamelCase					:      List[Any]          =   tokenizer.convert_tokens_to_ids(UpperCAmelCase_ )
			self.assertListEqual(
			    UpperCAmelCase_		,			[
			        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]
			    ]		,			)

			lowerCamelCase					:      Any          =   tokenizer.convert_ids_to_tokens(UpperCAmelCase_ )
			self.assertListEqual(
			    UpperCAmelCase_		,			[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>', '.']		,			)




	@slow
	def       _UpperCamelCase   (			self )		->							str:
			# fmt: off
			lowerCamelCase					:      Optional[Any]          =   {'input_ids': [[250004, 11062, 82772, 7, 15, 82772, 538, 51529, 237, 17198, 1290, 206, 9, 215175, 1314, 136, 17198, 1290, 206, 9, 56359, 42, 122009, 9, 16466, 16, 87344, 4537, 9, 4717, 78381, 6, 159958, 7, 15, 24480, 618, 4, 527, 22693, 5428, 4, 2777, 24480, 9874, 4, 43523, 594, 4, 803, 18392, 33189, 18, 4, 43523, 24447, 12399, 100, 24955, 83658, 9626, 144057, 15, 839, 22335, 16, 136, 24955, 83658, 83479, 15, 39102, 724, 16, 678, 645, 2789, 1328, 4589, 42, 122009, 115774, 23, 805, 1328, 46876, 7, 136, 53894, 1940, 42227, 41159, 17721, 823, 425, 4, 27512, 98722, 206, 136, 5531, 4970, 919, 17336, 5, 2], [250004, 20080, 618, 83, 82775, 47, 479, 9, 1517, 73, 53894, 333, 80581, 110117, 18811, 5256, 1295, 51, 152526, 297, 7986, 390, 124416, 538, 35431, 214, 98, 15044, 25737, 136, 7108, 43701, 23, 756, 135355, 7, 5, 2, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [250004, 581, 63773, 119455, 6, 147797, 88203, 7, 645, 70, 21, 3285, 10269, 5, 2, 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, 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]], '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, 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, 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, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
			# fmt: on

			self.tokenizer_integration_test_util(
			    expected_encoding=UpperCAmelCase_		,			model_name='facebook/mbart-large-50'		,			revision='d3913889c59cd5c9e456b269c376325eabad57e2'		,			)




	def       _UpperCamelCase   (			self )		->							Union[str, Any]:
			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

			lowerCamelCase					:      Optional[Any]          =   (self.rust_tokenizer_class, 'hf-internal-testing/tiny-random-mbart50', {})
			for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
					with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
							lowerCamelCase					:      Union[str, Any]          =   self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_		,			**UpperCAmelCase_ )
							lowerCamelCase					:      Optional[Any]          =   self.tokenizer_class.from_pretrained(UpperCAmelCase_		,			**UpperCAmelCase_ )

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

							lowerCamelCase					:      List[Any]          =   tokenizer_r.save_pretrained(UpperCAmelCase_ )
							lowerCamelCase					:      int          =   tokenizer_p.save_pretrained(UpperCAmelCase_ )

							# 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 ) )
							lowerCamelCase					:      str          =   tuple(f for f in tokenizer_r_files if 'tokenizer.json' not in f )
							self.assertSequenceEqual(UpperCAmelCase_		,			UpperCAmelCase_ )

							# Checks everything loads correctly in the same way
							lowerCamelCase					:      List[str]          =   tokenizer_r.from_pretrained(UpperCAmelCase_ )
							lowerCamelCase					:      List[Any]          =   tokenizer_p.from_pretrained(UpperCAmelCase_ )

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

							shutil.rmtree(UpperCAmelCase_ )

							# Save tokenizer rust, legacy_format=True
							lowerCamelCase					:      Optional[int]          =   tempfile.mkdtemp()

							lowerCamelCase					:      Dict          =   tokenizer_r.save_pretrained(UpperCAmelCase_		,			legacy_format=UpperCAmelCase_ )
							lowerCamelCase					:      Optional[Any]          =   tokenizer_p.save_pretrained(UpperCAmelCase_ )

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

							# Checks everything loads correctly in the same way
							lowerCamelCase					:      Dict          =   tokenizer_r.from_pretrained(UpperCAmelCase_ )
							lowerCamelCase					:      Dict          =   tokenizer_p.from_pretrained(UpperCAmelCase_ )

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

							shutil.rmtree(UpperCAmelCase_ )

							# Save tokenizer rust, legacy_format=False
							lowerCamelCase					:      List[Any]          =   tempfile.mkdtemp()

							lowerCamelCase					:      Any          =   tokenizer_r.save_pretrained(UpperCAmelCase_		,			legacy_format=UpperCAmelCase_ )
							lowerCamelCase					:      Optional[int]          =   tokenizer_p.save_pretrained(UpperCAmelCase_ )

							# 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
							lowerCamelCase					:      Tuple          =   tokenizer_r.from_pretrained(UpperCAmelCase_ )
							lowerCamelCase					:      List[Any]          =   tokenizer_p.from_pretrained(UpperCAmelCase_ )

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

							shutil.rmtree(UpperCAmelCase_ )






@require_torch
@require_sentencepiece
@require_tokenizers
class 	_lowercase       (    unittest.TestCase		):
	lowercase_				=     'facebook/mbart-large-50-one-to-many-mmt'
	lowercase_				=     [
	    ' 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.',
	]
	lowercase_				=     [
	    '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.',
	]
	lowercase_				=     [EN_CODE, 8_2_7_4, 1_2_7_8_7_3, 2_5_9_1_6, 7, 8_6_2_2, 2_0_7_1, 4_3_8, 6_7_4_8_5, 5_3, 1_8_7_8_9_5, 2_3, 5_1_7_1_2, 2]




	@classmethod
	def       _UpperCamelCase   (			cls )		->							Any:
			lowerCamelCase					:      MBartaaTokenizer          =   MBartaaTokenizer.from_pretrained(
			    cls.checkpoint_name		,			src_lang='en_XX'		,			tgt_lang='ro_RO' )
			lowerCamelCase					:      Dict          =   1
			return cls




	def       _UpperCamelCase   (			self )		->							Tuple:
			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 )
			self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['mr_IN']		,			250038 )




	def       _UpperCamelCase   (			self )		->							Union[str, Any]:
			lowerCamelCase					:      str          =   self.tokenizer.batch_encode_plus(self.src_text ).input_ids[0]
			self.assertListEqual(self.expected_src_tokens		,			UpperCAmelCase_ )




	def       _UpperCamelCase   (			self )		->							str:
			self.assertIn(UpperCAmelCase_		,			self.tokenizer.all_special_ids )
			lowerCamelCase					:      Optional[Any]          =   [RO_CODE, 884, 9019, 96, 9, 916, 86792, 36, 18743, 15596, 5, 2]
			lowerCamelCase					:      str          =   self.tokenizer.decode(UpperCAmelCase_		,			skip_special_tokens=UpperCAmelCase_ )
			lowerCamelCase					:      Tuple          =   self.tokenizer.decode(generated_ids[1:]		,			skip_special_tokens=UpperCAmelCase_ )
			self.assertEqual(UpperCAmelCase_		,			UpperCAmelCase_ )
			self.assertNotIn(self.tokenizer.eos_token		,			UpperCAmelCase_ )




	def       _UpperCamelCase   (			self )		->							List[str]:
			lowerCamelCase					:      int          =   ['this is gunna be a long sentence ' * 20]
			assert isinstance(src_text[0]		,			UpperCAmelCase_ )
			lowerCamelCase					:      str          =   10
			lowerCamelCase					:      Any          =   self.tokenizer(UpperCAmelCase_		,			max_length=UpperCAmelCase_		,			truncation=UpperCAmelCase_ ).input_ids[0]
			self.assertEqual(ids[0]		,			UpperCAmelCase_ )
			self.assertEqual(ids[-1]		,			2 )
			self.assertEqual(len(UpperCAmelCase_ )		,			UpperCAmelCase_ )




	def       _UpperCamelCase   (			self )		->							Optional[Any]:
			self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', 'ar_AR'] )		,			[250053, 250001] )




	def       _UpperCamelCase   (			self )		->							Tuple:
			lowerCamelCase					:      Union[str, Any]          =   tempfile.mkdtemp()
			lowerCamelCase					:      Any          =   self.tokenizer.fairseq_tokens_to_ids
			self.tokenizer.save_pretrained(UpperCAmelCase_ )
			lowerCamelCase					:      int          =   MBartaaTokenizer.from_pretrained(UpperCAmelCase_ )
			self.assertDictEqual(new_tok.fairseq_tokens_to_ids		,			UpperCAmelCase_ )




	@require_torch
	def       _UpperCamelCase   (			self )		->							Optional[int]:
			lowerCamelCase					:      Optional[Any]          =   self.tokenizer(self.src_text		,			text_target=self.tgt_text		,			padding=UpperCAmelCase_		,			return_tensors='pt' )
			lowerCamelCase					:      str          =   shift_tokens_right(batch['labels']		,			self.tokenizer.pad_token_id )

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




	@require_torch
	def       _UpperCamelCase   (			self )		->							Optional[int]:
			lowerCamelCase					:      Union[str, Any]          =   self.tokenizer(
			    self.src_text		,			text_target=self.tgt_text		,			padding=UpperCAmelCase_		,			truncation=UpperCAmelCase_		,			max_length=len(self.expected_src_tokens )		,			return_tensors='pt'		,			)
			lowerCamelCase					:      str          =   shift_tokens_right(batch['labels']		,			self.tokenizer.pad_token_id )

			self.assertIsInstance(UpperCAmelCase_		,			UpperCAmelCase_ )

			self.assertEqual((2, 14)		,			batch.input_ids.shape )
			self.assertEqual((2, 14)		,			batch.attention_mask.shape )
			lowerCamelCase					:      Any          =   batch.input_ids.tolist()[0]
			self.assertListEqual(self.expected_src_tokens		,			UpperCAmelCase_ )
			self.assertEqual(2		,			batch.decoder_input_ids[0, 0] )  # decoder_start_token_id
			# Test that special tokens are reset
			self.assertEqual(self.tokenizer.prefix_tokens		,			[EN_CODE] )
			self.assertEqual(self.tokenizer.suffix_tokens		,			[self.tokenizer.eos_token_id] )




	def       _UpperCamelCase   (			self )		->							List[Any]:
			lowerCamelCase					:      int          =   self.tokenizer(self.src_text		,			padding=UpperCAmelCase_		,			truncation=UpperCAmelCase_		,			max_length=3		,			return_tensors='pt' )
			lowerCamelCase					:      int          =   self.tokenizer(
			    text_target=self.tgt_text		,			padding=UpperCAmelCase_		,			truncation=UpperCAmelCase_		,			max_length=10		,			return_tensors='pt' )
			lowerCamelCase					:      List[str]          =   targets['input_ids']
			lowerCamelCase					:      Tuple          =   shift_tokens_right(UpperCAmelCase_		,			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       _UpperCamelCase   (			self )		->							str:
			lowerCamelCase					:      Optional[Any]          =   self.tokenizer._build_translation_inputs(
			    'A test'		,			return_tensors='pt'		,			src_lang='en_XX'		,			tgt_lang='ar_AR' )

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








"""simple docstring"""

import os

try:
					from .build_directory_md import good_file_paths
except ImportError:
					from build_directory_md import good_file_paths  # type: ignore

_A						=			list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

_A						=			[file for file in filepaths if file != file.lower()]
if upper_files:
					print(F"""{len(upper_files)} files contain uppercase characters:""")
					print('\n'.join(upper_files) + '\n')

_A						=			[file for file in filepaths if ' ' in file]
if space_files:
					print(F"""{len(space_files)} files contain space characters:""")
					print('\n'.join(space_files) + '\n')

_A						=			[file for file in filepaths if '-' in file]
if hyphen_files:
					print(F"""{len(hyphen_files)} files contain hyphen characters:""")
					print('\n'.join(hyphen_files) + '\n')

_A						=			[file for file in filepaths if os.sep not in file]
if nodir_files:
					print(F"""{len(nodir_files)} files are not in a directory:""")
					print('\n'.join(nodir_files) + '\n')

_A						=			len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
					import sys

					sys.exit(bad_files)






