



"""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


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


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

lowerCAmelCase_   						=   250_004
lowerCAmelCase_   						=   250_020
@require_sentencepiece
@require_tokenizers
class        __A       (	UpperCAmelCase__     ,unittest.TestCase    ):







		'''simple docstring'''





		lowerCAmelCase			:					Tuple   	=				MBartTokenizer
		lowerCAmelCase			:					Dict   	=				MBartTokenizerFast
		lowerCAmelCase			:					Tuple   	=				True
		lowerCAmelCase			:					List[str]   	=				True







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






				"""simple docstring"""



				super().setUp()

				# We have a SentencePiece fixture for testing
				lowercase__   :    str				=			MBartTokenizer(__lowercase			,keep_accents=__lowercase						)
				tokenizer.save_pretrained(self.tmpdirname						)







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






				"""simple docstring"""



				lowercase__   :    Optional[int]				=			MBartTokenizer(__lowercase			,keep_accents=__lowercase						)

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

				self.assertListEqual(
				    tokenizer.convert_tokens_to_ids(__lowercase						)			,[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(
				    __lowercase			,[
				        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__   :    Dict				=			tokenizer.convert_tokens_to_ids(__lowercase						)
				self.assertListEqual(
				    __lowercase			,[
				        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(__lowercase						)
				self.assertListEqual(
				    __lowercase			,[
				        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 					UpperCAmelCase    (	self						:  Dict						)					->		Dict:






				"""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__   :    Optional[int]				=			self.rust_tokenizer_class.from_pretrained(__lowercase			,**__lowercase						)
								lowercase__   :    int				=			self.tokenizer_class.from_pretrained(__lowercase			,**__lowercase						)

								lowercase__   :    Tuple				=			tempfile.mkdtemp()

								lowercase__   :    Union[str, Any]				=			tokenizer_r.save_pretrained(__lowercase						)
								lowercase__   :    Dict				=			tokenizer_p.save_pretrained(__lowercase						)

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

								# Checks everything loads correctly in the same way
								lowercase__   :    Tuple				=			tokenizer_r.from_pretrained(__lowercase						)
								lowercase__   :    Dict				=			tokenizer_p.from_pretrained(__lowercase						)

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

								shutil.rmtree(__lowercase						)

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

								lowercase__   :    int				=			tokenizer_r.save_pretrained(__lowercase			,legacy_format=__lowercase						)
								lowercase__   :    Tuple				=			tokenizer_p.save_pretrained(__lowercase						)

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

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

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

								shutil.rmtree(__lowercase						)

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

								lowercase__   :    List[str]				=			tokenizer_r.save_pretrained(__lowercase			,legacy_format=__lowercase						)
								lowercase__   :    Optional[int]				=			tokenizer_p.save_pretrained(__lowercase						)

								# 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__   :    Dict				=			tokenizer_r.from_pretrained(__lowercase						)
								lowercase__   :    List[Any]				=			tokenizer_p.from_pretrained(__lowercase						)

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

								shutil.rmtree(__lowercase						)





@require_torch
@require_sentencepiece
@require_tokenizers
class        __A       (	unittest.TestCase    ):







		'''simple docstring'''





		lowerCAmelCase			:					int   	=				"""facebook/mbart-large-en-ro"""
		lowerCAmelCase			:					int   	=				[
		    """ 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			:					Optional[int]   	=				[
		    """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			:					str   	=				[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, EN_CODE]







		@classmethod
		def 					UpperCAmelCase    (	cls						:  Tuple						)					->		Optional[int]:






				"""simple docstring"""



				lowercase__   :    MBartTokenizer				=			MBartTokenizer.from_pretrained(
				    cls.checkpoint_name			,src_lang='''en_XX'''			,tgt_lang='''ro_RO'''						)
				lowercase__   :    Optional[Any]				=			1
				return cls







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






				"""simple docstring"""



				self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ar_AR''']			,250_001						)
				self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''en_EN''']			,250_004						)
				self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ro_RO''']			,250_020						)







		def 					UpperCAmelCase    (	self						:  Any						)					->		Tuple:






				"""simple docstring"""



				lowercase__   :    Optional[int]				=			self.tokenizer.batch_encode_plus(self.src_text						).input_ids[0]
				self.assertListEqual(self.expected_src_tokens			,__lowercase						)







		def 					UpperCAmelCase    (	self						:  Tuple						)					->		Any:






				"""simple docstring"""



				self.assertIn(__lowercase			,self.tokenizer.all_special_ids						)
				lowercase__   :    Union[str, Any]				=			[RO_CODE, 884, 9_019, 96, 9, 916, 86_792, 36, 18_743, 15_596, 5, 2]
				lowercase__   :    Tuple				=			self.tokenizer.decode(__lowercase			,skip_special_tokens=__lowercase						)
				lowercase__   :    List[Any]				=			self.tokenizer.decode(generated_ids[1:]			,skip_special_tokens=__lowercase						)
				self.assertEqual(__lowercase			,__lowercase						)
				self.assertNotIn(self.tokenizer.eos_token			,__lowercase						)







		def 					UpperCAmelCase    (	self						:  Tuple						)					->		Any:






				"""simple docstring"""



				lowercase__   :    Union[str, Any]				=			['''this is gunna be a long sentence ''' * 20]
				assert isinstance(src_text[0]			,__lowercase						)
				lowercase__   :    str				=			10
				lowercase__   :    Tuple				=			self.tokenizer(__lowercase			,max_length=__lowercase			,truncation=__lowercase						).input_ids[0]
				self.assertEqual(ids[-2]			,2						)
				self.assertEqual(ids[-1]			,__lowercase						)
				self.assertEqual(len(__lowercase						)			,__lowercase						)







		def 					UpperCAmelCase    (	self						:  str						)					->		int:






				"""simple docstring"""



				self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']						)			,[250_026, 250_001]						)







		def 					UpperCAmelCase    (	self						:  str						)					->		Dict:






				"""simple docstring"""



				lowercase__   :    Any				=			tempfile.mkdtemp()
				lowercase__   :    int				=			self.tokenizer.fairseq_tokens_to_ids
				self.tokenizer.save_pretrained(__lowercase						)
				lowercase__   :    Optional[Any]				=			MBartTokenizer.from_pretrained(__lowercase						)
				self.assertDictEqual(new_tok.fairseq_tokens_to_ids			,__lowercase						)







		@require_torch
		def 					UpperCAmelCase    (	self						:  Union[str, Any]						)					->		Union[str, Any]:






				"""simple docstring"""



				lowercase__   :    Tuple				=			self.tokenizer(self.src_text			,text_target=self.tgt_text			,padding=__lowercase			,return_tensors='''pt'''						)
				lowercase__   :    Tuple				=			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 					UpperCAmelCase    (	self						:  List[Any]						)					->		List[Any]:






				"""simple docstring"""



				lowercase__   :    str				=			self.tokenizer(
				    self.src_text			,text_target=self.tgt_text			,padding=__lowercase			,truncation=__lowercase			,max_length=len(self.expected_src_tokens						)			,return_tensors='''pt'''			,)

				lowercase__   :    int				=			shift_tokens_right(batch['''labels''']			,self.tokenizer.pad_token_id						)

				self.assertIsInstance(__lowercase			,__lowercase						)

				self.assertEqual((2, 14)			,batch.input_ids.shape						)
				self.assertEqual((2, 14)			,batch.attention_mask.shape						)
				lowercase__   :    str				=			batch.input_ids.tolist()[0]
				self.assertListEqual(self.expected_src_tokens			,__lowercase						)
				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 					UpperCAmelCase    (	self						:  Dict						)					->		Optional[int]:






				"""simple docstring"""



				lowercase__   :    Optional[Any]				=			self.tokenizer(self.src_text			,padding=__lowercase			,truncation=__lowercase			,max_length=3			,return_tensors='''pt'''						)
				lowercase__   :    Any				=			self.tokenizer(
				    text_target=self.tgt_text			,padding=__lowercase			,truncation=__lowercase			,max_length=10			,return_tensors='''pt'''						)
				lowercase__   :    int				=			targets['''input_ids''']
				lowercase__   :    Optional[Any]				=			shift_tokens_right(__lowercase			,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						:  Optional[Any]						)					->		List[str]:






				"""simple docstring"""



				lowercase__   :    Any				=			self.tokenizer._build_translation_inputs(
				    '''A test'''			,return_tensors='''pt'''			,src_lang='''en_XX'''			,tgt_lang='''ar_AR'''						)

				self.assertEqual(
				    nested_simplify(__lowercase						)			,{
				        # A, test, EOS, en_XX
				        '''input_ids''': [[62, 3_034, 2, 250_004]],
				        '''attention_mask''': [[1, 1, 1, 1]],
				        # ar_AR
				        '''forced_bos_token_id''': 250_001,
				    }			,)




import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, PerceiverTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
						_UpperCAmelCase	:     Union[str, Any]   ="""pt"""
elif is_tf_available():
						_UpperCAmelCase	:     List[Any]   ="""tf"""
else:
						_UpperCAmelCase	:     Optional[int]   ="""jax"""







class  snake_case__(							UpperCAmelCase__,  unittest.TestCase							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__					:     Union[str, Any]    =							PerceiverTokenizer
						SCREAMING_SNAKE_CASE__					:     Optional[Any]    =							False




						def   lowercase_       ( self							)    ->			Optional[int]:
										super().setUp()
										lowerCAmelCase_       :					str			 = PerceiverTokenizer()
										tokenizer.save_pretrained(self.tmpdirname							)




						@cached_property
						def   lowercase_       ( self							)    ->			Any:
										return PerceiverTokenizer.from_pretrained('''deepmind/language-perceiver'''							)




						def   lowercase_       ( self      ,  **__lowercase							)    ->			PerceiverTokenizer:
										return self.tokenizer_class.from_pretrained(self.tmpdirname      ,  **__lowercase							)




						def   lowercase_       ( self      ,  __lowercase      ,  __lowercase=False      ,  __lowercase=2_0      ,  __lowercase=5							)    ->			Tuple[str, list]:
										# XXX The default common tokenizer tests assume that every ID is decodable on its own.
										# This assumption is invalid for Perceiver because single bytes might not be
										# valid utf-8 (byte 128 for instance).
										# Here we're overriding the smallest possible method to provide
										# a clean sequence without making the same assumption.

										lowerCAmelCase_       :					Optional[Any]			 = []
										for i in range(len(__lowercase							)							):
														try:
																		lowerCAmelCase_       :					List[str]			 = tokenizer.decode([i]      ,  clean_up_tokenization_spaces=__lowercase							)
														except UnicodeDecodeError:
																		pass
														toks.append((i, tok)							)

										lowerCAmelCase_       :					List[str]			 = list(filter(lambda __lowercase							: re.match(R'''^[ a-zA-Z]+$'''      ,  t[1]							)      ,  __lowercase							)							)
										lowerCAmelCase_       :					Optional[int]			 = list(filter(lambda __lowercase							: [t[0]] == tokenizer.encode(t[1]      ,  add_special_tokens=__lowercase							)      ,  __lowercase							)							)
										if max_length is not None and len(__lowercase							) > max_length:
														lowerCAmelCase_       :					Union[str, Any]			 = toks[:max_length]
										if min_length is not None and len(__lowercase							) < min_length and len(__lowercase							) > 0:
														while len(__lowercase							) < min_length:
																		lowerCAmelCase_       :					Union[str, Any]			 = toks + toks
        # toks_str = [t[1] for t in toks]
										lowerCAmelCase_       :					List[str]			 = [t[0] for t in toks]

										# Ensure consistency
										lowerCAmelCase_       :					int			 = tokenizer.decode(__lowercase      ,  clean_up_tokenization_spaces=__lowercase							)
										if " " not in output_txt and len(__lowercase							) > 1:
														lowerCAmelCase_       :					Optional[int]			 = (
														    tokenizer.decode([toks_ids[0]]      ,  clean_up_tokenization_spaces=__lowercase							)
														    + ''' '''
														    + tokenizer.decode(toks_ids[1:]      ,  clean_up_tokenization_spaces=__lowercase							)
														)
										if with_prefix_space:
														lowerCAmelCase_       :					Any			 = ''' ''' + output_txt
										lowerCAmelCase_       :					List[str]			 = tokenizer.encode(__lowercase      ,  add_special_tokens=__lowercase							)
										return output_txt, output_ids




						def   lowercase_       ( self							)    ->			Union[str, Any]:
										lowerCAmelCase_       :					List[str]			 = self.perceiver_tokenizer
										lowerCAmelCase_       :					Any			 = '''Unicode €.'''
										lowerCAmelCase_       :					Dict			 = tokenizer(__lowercase							)
										lowerCAmelCase_       :					Any			 = [4, 9_1, 1_1_6, 1_1_1, 1_0_5, 1_1_7, 1_0_6, 1_0_7, 3_8, 2_3_2, 1_3_6, 1_7_8, 5_2, 5]
										self.assertEqual(encoded['''input_ids''']      ,  __lowercase							)

										# decoding
										lowerCAmelCase_       :					str			 = tokenizer.decode(__lowercase							)
										self.assertEqual(__lowercase      ,  '''[CLS]Unicode €.[SEP]'''							)

										lowerCAmelCase_       :					Optional[int]			 = tokenizer('''e è é ê ë'''							)
										lowerCAmelCase_       :					str			 = [4, 1_0_7, 3_8, 2_0_1, 1_7_4, 3_8, 2_0_1, 1_7_5, 3_8, 2_0_1, 1_7_6, 3_8, 2_0_1, 1_7_7, 5]
										self.assertEqual(encoded['''input_ids''']      ,  __lowercase							)
										# decoding
										lowerCAmelCase_       :					int			 = tokenizer.decode(__lowercase							)
										self.assertEqual(__lowercase      ,  '''[CLS]e è é ê ë[SEP]'''							)

										# encode/decode, but with `encode` instead of `__call__`
										self.assertEqual(tokenizer.decode(tokenizer.encode('''e è é ê ë'''							)							)      ,  '''[CLS]e è é ê ë[SEP]'''							)




						def   lowercase_       ( self							)    ->			List[str]:
										lowerCAmelCase_       :					Any			 = self.perceiver_tokenizer
										lowerCAmelCase_       :					Dict			 = ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
										# fmt: off
										lowerCAmelCase_       :					Optional[int]			 = [4, 7_1, 3_8, 1_1_4, 1_1_7, 1_1_6, 1_0_9, 3_8, 1_1_8, 1_0_3, 1_2_0, 1_0_3, 1_0_9, 1_2_0, 1_0_3, 1_1_8, 1_1_0, 3_8, 1_0_8, 1_1_7, 1_2_0, 3_8, 1_2_1, 1_2_3, 1_1_5, 1_1_5, 1_0_3, 1_2_0, 1_1_1, 1_2_8, 1_0_3, 1_2_2, 1_1_1, 1_1_7, 1_1_6, 5_2, 5, 0]
										# fmt: on
										lowerCAmelCase_       :					Optional[int]			 = tokenizer(__lowercase      ,  padding=__lowercase      ,  return_tensors=__lowercase							)
										self.assertIsInstance(__lowercase      ,  __lowercase							)

										if FRAMEWORK != "jax":
														lowerCAmelCase_       :					str			 = list(batch.input_ids.numpy()[0]							)
										else:
														lowerCAmelCase_       :					Union[str, Any]			 = list(batch.input_ids.tolist()[0]							)

										self.assertListEqual(__lowercase      ,  __lowercase							)

										self.assertEqual((2, 3_8)      ,  batch.input_ids.shape							)
										self.assertEqual((2, 3_8)      ,  batch.attention_mask.shape							)




						def   lowercase_       ( self							)    ->			Union[str, Any]:
										lowerCAmelCase_       :					int			 = self.perceiver_tokenizer
										lowerCAmelCase_       :					Optional[Any]			 = ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
										lowerCAmelCase_       :					List[Any]			 = tokenizer(__lowercase      ,  padding=__lowercase      ,  return_tensors=__lowercase							)
										# check if input_ids are returned and no decoder_input_ids
										self.assertIn('''input_ids'''      ,  __lowercase							)
										self.assertIn('''attention_mask'''      ,  __lowercase							)
										self.assertNotIn('''decoder_input_ids'''      ,  __lowercase							)
										self.assertNotIn('''decoder_attention_mask'''      ,  __lowercase							)




						def   lowercase_       ( self							)    ->			List[Any]:
										lowerCAmelCase_       :					Optional[Any]			 = self.perceiver_tokenizer
										lowerCAmelCase_       :					int			 = [
										    '''Summary of the text.''',
										    '''Another summary.''',
										]
										lowerCAmelCase_       :					List[str]			 = tokenizer(
										    text_target=__lowercase      ,  max_length=3_2      ,  padding='''max_length'''      ,  truncation=__lowercase      ,  return_tensors=__lowercase							)
										self.assertEqual(3_2      ,  targets['''input_ids'''].shape[1]							)




						def   lowercase_       ( self							)    ->			Optional[Any]:
										# safety check on max_len default value so we are sure the test works
										lowerCAmelCase_       :					Dict			 = self.get_tokenizers()
										for tokenizer in tokenizers:
														with self.subTest(f"""{tokenizer.__class__.__name__}"""							):
																		self.assertNotEqual(tokenizer.model_max_length      ,  4_2							)

        # Now let's start the test
										lowerCAmelCase_       :					Optional[int]			 = self.get_tokenizers()
										for tokenizer in tokenizers:
														with self.subTest(f"""{tokenizer.__class__.__name__}"""							):
																		# Isolate this from the other tests because we save additional tokens/etc
																		lowerCAmelCase_       :					Union[str, Any]			 = tempfile.mkdtemp()

																		lowerCAmelCase_       :					str			 = ''' He is very happy, UNwant\u00E9d,running'''
																		lowerCAmelCase_       :					Optional[int]			 = tokenizer.encode(__lowercase      ,  add_special_tokens=__lowercase							)
																		tokenizer.save_pretrained(__lowercase							)

																		lowerCAmelCase_       :					Any			 = tokenizer.__class__.from_pretrained(__lowercase							)
																		lowerCAmelCase_       :					Tuple			 = after_tokenizer.encode(__lowercase      ,  add_special_tokens=__lowercase							)
																		self.assertListEqual(__lowercase      ,  __lowercase							)

																		shutil.rmtree(__lowercase							)

										lowerCAmelCase_       :					Optional[int]			 = self.get_tokenizers(model_max_length=4_2							)
										for tokenizer in tokenizers:
														with self.subTest(f"""{tokenizer.__class__.__name__}"""							):
																		# Isolate this from the other tests because we save additional tokens/etc
																		lowerCAmelCase_       :					Optional[int]			 = tempfile.mkdtemp()

																		lowerCAmelCase_       :					List[str]			 = ''' He is very happy, UNwant\u00E9d,running'''
																		tokenizer.add_tokens(['''bim''', '''bambam''']							)
																		lowerCAmelCase_       :					Any			 = tokenizer.additional_special_tokens
																		additional_special_tokens.append('''new_additional_special_token'''							)
																		tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens}							)
																		lowerCAmelCase_       :					str			 = tokenizer.encode(__lowercase      ,  add_special_tokens=__lowercase							)
																		tokenizer.save_pretrained(__lowercase							)

																		lowerCAmelCase_       :					str			 = tokenizer.__class__.from_pretrained(__lowercase							)
																		lowerCAmelCase_       :					Optional[Any]			 = after_tokenizer.encode(__lowercase      ,  add_special_tokens=__lowercase							)
																		self.assertListEqual(__lowercase      ,  __lowercase							)
																		self.assertIn('''new_additional_special_token'''      ,  after_tokenizer.additional_special_tokens							)
																		self.assertEqual(after_tokenizer.model_max_length      ,  4_2							)

																		lowerCAmelCase_       :					str			 = tokenizer.__class__.from_pretrained(__lowercase      ,  model_max_length=4_3							)
																		self.assertEqual(tokenizer.model_max_length      ,  4_3							)

																		shutil.rmtree(__lowercase							)




						def   lowercase_       ( self							)    ->			List[str]:
										lowerCAmelCase_       :					List[Any]			 = []
										if self.test_slow_tokenizer:
														tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())							)

										if self.test_rust_tokenizer:
														tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())							)

										for tokenizer_class, tokenizer_utils in tokenizer_list:
														with tempfile.TemporaryDirectory() as tmp_dir:
																		tokenizer_utils.save_pretrained(__lowercase							)

																		with open(os.path.join(__lowercase      ,  '''special_tokens_map.json'''							)      ,  encoding='''utf-8'''							) as json_file:
																						lowerCAmelCase_       :					Tuple			 = json.load(__lowercase							)

																		with open(os.path.join(__lowercase      ,  '''tokenizer_config.json'''							)      ,  encoding='''utf-8'''							) as json_file:
																						lowerCAmelCase_       :					Any			 = json.load(__lowercase							)

																		lowerCAmelCase_       :					Optional[int]			 = [f"""<extra_id_{i}>""" for i in range(1_2_5							)]

																		lowerCAmelCase_       :					Optional[Any]			 = added_tokens_extra_ids + [
																		    '''an_additional_special_token'''
																		]
																		lowerCAmelCase_       :					Any			 = added_tokens_extra_ids + [
																		    '''an_additional_special_token'''
																		]

																		with open(os.path.join(__lowercase      ,  '''special_tokens_map.json'''							)      ,  '''w'''      ,  encoding='''utf-8'''							) as outfile:
																						json.dump(__lowercase      ,  __lowercase							)
																		with open(os.path.join(__lowercase      ,  '''tokenizer_config.json'''							)      ,  '''w'''      ,  encoding='''utf-8'''							) as outfile:
																						json.dump(__lowercase      ,  __lowercase							)

																		# the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
																		# into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
																		# "special_tokens_map.json" files
																		lowerCAmelCase_       :					int			 = tokenizer_class.from_pretrained(
																		    __lowercase      ,  )
																		self.assertIn(
																		    '''an_additional_special_token'''      ,  tokenizer_without_change_in_init.additional_special_tokens							)
																		self.assertEqual(
																		    ['''an_additional_special_token''']      ,  tokenizer_without_change_in_init.convert_ids_to_tokens(
																		        tokenizer_without_change_in_init.convert_tokens_to_ids(['''an_additional_special_token''']							)							)      ,  )

																		# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																		lowerCAmelCase_       :					Tuple			 = added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''      ,  lstrip=__lowercase							)]
																		lowerCAmelCase_       :					Dict			 = tokenizer_class.from_pretrained(
																		    __lowercase      ,  additional_special_tokens=__lowercase      ,  )

																		self.assertIn('''a_new_additional_special_token'''      ,  tokenizer.additional_special_tokens							)
																		self.assertEqual(
																		    ['''a_new_additional_special_token''']      ,  tokenizer.convert_ids_to_tokens(
																		        tokenizer.convert_tokens_to_ids(['''a_new_additional_special_token''']							)							)      ,  )




						def   lowercase_       ( self							)    ->			Dict:
										lowerCAmelCase_       :					Any			 = self.perceiver_tokenizer
										self.assertEqual(tokenizer.decode([1_7_8]							)      ,  '''�'''							)




						def   lowercase_       ( self							)    ->			Tuple:
										pass




						def   lowercase_       ( self							)    ->			Any:
										pass




						def   lowercase_       ( self							)    ->			Tuple:
										pass




						def   lowercase_       ( self							)    ->			List[str]:
										pass




						def   lowercase_       ( self							)    ->			Dict:
										# The default common tokenizer tests uses invalid tokens for Perceiver that can only accept one-character
										# strings and special added tokens as tokens
										lowerCAmelCase_       :					Tuple			 = self.get_tokenizers(fast=__lowercase      ,  do_lower_case=__lowercase							)
										for tokenizer in tokenizers:
														with self.subTest(f"""{tokenizer.__class__.__name__}"""							):
																		lowerCAmelCase_       :					List[str]			 = ['''[CLS]''', '''t''', '''h''', '''i''', '''s''', ''' ''', '''i''', '''s''', ''' ''', '''a''', ''' ''', '''t''', '''e''', '''s''', '''t''', '''[SEP]''']
																		lowerCAmelCase_       :					Optional[int]			 = tokenizer.convert_tokens_to_string(__lowercase							)

																		self.assertIsInstance(__lowercase      ,  __lowercase							)