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__           =							250_004
A__           =							250_020
@require_sentencepiece
@require_tokenizers
class   _lowerCAmelCase		(     __SCREAMING_SNAKE_CASE      ,   unittest.TestCase				):
							_UpperCAmelCase						    =     MBartaaTokenizer
							_UpperCAmelCase						    =     MBartaaTokenizerFast
							_UpperCAmelCase						    =     True
							_UpperCAmelCase						    =     True







							def 				snake_case  (				self     :    Union[str, Any]		):
										super().setUp()

										# We have a SentencePiece fixture for testing
										lowerCamelCase						:Optional[int]						  =     MBartaaTokenizer(__snake_case	,					src_lang='''en_XX'''	,					tgt_lang='''ro_RO'''	,					keep_accents=__snake_case		)
										tokenizer.save_pretrained(self.tmpdirname		)







							def 				snake_case  (				self     :    Dict		):
										lowerCamelCase						:int						  =     '''<s>'''
										lowerCamelCase						:int						  =     0

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







							def 				snake_case  (				self     :    Union[str, Any]		):
										lowerCamelCase						:Union[str, Any]						  =     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(__snake_case		)	,					1054		)







							def 				snake_case  (				self     :    Dict		):
										self.assertEqual(self.get_tokenizer().vocab_size	,					1054		)







							def 				snake_case  (				self     :    List[Any]		):
										lowerCamelCase						:List[Any]						  =     MBartaaTokenizer(__snake_case	,					src_lang='''en_XX'''	,					tgt_lang='''ro_RO'''	,					keep_accents=__snake_case		)

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

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

										lowerCamelCase						:List[str]						  =     tokenizer.tokenize('''I was born in 92000, and this is falsé.'''		)
										self.assertListEqual(
										    __snake_case	,					[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						:Tuple						  =     tokenizer.convert_tokens_to_ids(__snake_case		)
										self.assertListEqual(
										    __snake_case	,					[
										        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						:str						  =     tokenizer.convert_ids_to_tokens(__snake_case		)
										self.assertListEqual(
										    __snake_case	,					[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 				snake_case  (				self     :    Union[str, Any]		):
										# 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=__snake_case	,					model_name='''facebook/mbart-large-50'''	,					revision='''d3913889c59cd5c9e456b269c376325eabad57e2'''	,					)







							def 				snake_case  (				self     :    Optional[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						:Tuple						  =     self.rust_tokenizer_class.from_pretrained(__snake_case	,					**__snake_case		)
																lowerCamelCase						:Tuple						  =     self.tokenizer_class.from_pretrained(__snake_case	,					**__snake_case		)

																lowerCamelCase						:int						  =     tempfile.mkdtemp()

																lowerCamelCase						:Union[str, Any]						  =     tokenizer_r.save_pretrained(__snake_case		)
																lowerCamelCase						:List[Any]						  =     tokenizer_p.save_pretrained(__snake_case		)

																# 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						:Union[str, Any]						  =     tuple(f for f in tokenizer_r_files if '''tokenizer.json''' not in f		)
																self.assertSequenceEqual(__snake_case	,					__snake_case		)

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

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

																shutil.rmtree(__snake_case		)

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

																lowerCamelCase						:List[Any]						  =     tokenizer_r.save_pretrained(__snake_case	,					legacy_format=__snake_case		)
																lowerCamelCase						:List[str]						  =     tokenizer_p.save_pretrained(__snake_case		)

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

																# Checks everything loads correctly in the same way
																lowerCamelCase						:Union[str, Any]						  =     tokenizer_r.from_pretrained(__snake_case		)
																lowerCamelCase						:Tuple						  =     tokenizer_p.from_pretrained(__snake_case		)

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

																shutil.rmtree(__snake_case		)

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

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

																# 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						:Dict						  =     tokenizer_r.from_pretrained(__snake_case		)
																lowerCamelCase						:List[Any]						  =     tokenizer_p.from_pretrained(__snake_case		)

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

																shutil.rmtree(__snake_case		)


@require_torch
@require_sentencepiece
@require_tokenizers
class   _lowerCAmelCase		(     unittest.TestCase				):
							_UpperCAmelCase						    =     'facebook/mbart-large-50-one-to-many-mmt'
							_UpperCAmelCase						    =     [
							    ' 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.',
							]
							_UpperCAmelCase						    =     [
							    '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.',
							]
							_UpperCAmelCase						    =     [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 				snake_case  (				cls     :    Any		):
										lowerCamelCase						:MBartaaTokenizer						  =     MBartaaTokenizer.from_pretrained(
										    cls.checkpoint_name	,					src_lang='''en_XX'''	,					tgt_lang='''ro_RO'''		)
										lowerCamelCase						:str						  =     1
										return cls







							def 				snake_case  (				self     :    Union[str, Any]		):
										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 				snake_case  (				self     :    Optional[int]		):
										lowerCamelCase						:Dict						  =     self.tokenizer.batch_encode_plus(self.src_text		).input_ids[0]
										self.assertListEqual(self.expected_src_tokens	,					__snake_case		)







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







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







							def 				snake_case  (				self     :    Dict		):
										self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']		)	,					[250053, 250001]		)







							def 				snake_case  (				self     :    Any		):
										lowerCamelCase						:Any						  =     tempfile.mkdtemp()
										lowerCamelCase						:List[Any]						  =     self.tokenizer.fairseq_tokens_to_ids
										self.tokenizer.save_pretrained(__snake_case		)
										lowerCamelCase						:List[str]						  =     MBartaaTokenizer.from_pretrained(__snake_case		)
										self.assertDictEqual(new_tok.fairseq_tokens_to_ids	,					__snake_case		)







							@require_torch
							def 				snake_case  (				self     :    List[Any]		):
										lowerCamelCase						:Dict						  =     self.tokenizer(self.src_text	,					text_target=self.tgt_text	,					padding=__snake_case	,					return_tensors='''pt'''		)
										lowerCamelCase						:Optional[Any]						  =     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 				snake_case  (				self     :    Union[str, Any]		):
										lowerCamelCase						:Union[str, Any]						  =     self.tokenizer(
										    self.src_text	,					text_target=self.tgt_text	,					padding=__snake_case	,					truncation=__snake_case	,					max_length=len(self.expected_src_tokens		)	,					return_tensors='''pt'''	,					)
										lowerCamelCase						:Any						  =     shift_tokens_right(batch['''labels''']	,					self.tokenizer.pad_token_id		)

										self.assertIsInstance(__snake_case	,					__snake_case		)

										self.assertEqual((2, 14)	,					batch.input_ids.shape		)
										self.assertEqual((2, 14)	,					batch.attention_mask.shape		)
										lowerCamelCase						:Union[str, Any]						  =     batch.input_ids.tolist()[0]
										self.assertListEqual(self.expected_src_tokens	,					__snake_case		)
										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 				snake_case  (				self     :    Optional[Any]		):
										lowerCamelCase						:int						  =     self.tokenizer(self.src_text	,					padding=__snake_case	,					truncation=__snake_case	,					max_length=3	,					return_tensors='''pt'''		)
										lowerCamelCase						:Tuple						  =     self.tokenizer(
										    text_target=self.tgt_text	,					padding=__snake_case	,					truncation=__snake_case	,					max_length=10	,					return_tensors='''pt'''		)
										lowerCamelCase						:Optional[Any]						  =     targets['''input_ids''']
										lowerCamelCase						:List[str]						  =     shift_tokens_right(__snake_case	,					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 				snake_case  (				self     :    List[str]		):
										lowerCamelCase						:Tuple						  =     self.tokenizer._build_translation_inputs(
										    '''A test'''	,					return_tensors='''pt'''	,					src_lang='''en_XX'''	,					tgt_lang='''ar_AR'''		)

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




import json
import os
import unittest

from transformers import BatchEncoding, LEDTokenizer, LEDTokenizerFast
from transformers.models.led.tokenization_led import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class   _lowerCAmelCase		(     __SCREAMING_SNAKE_CASE      ,   unittest.TestCase				):
							_UpperCAmelCase						    =     LEDTokenizer
							_UpperCAmelCase						    =     LEDTokenizerFast
							_UpperCAmelCase						    =     True







							def 				snake_case  (				self     :    Any		):
										super().setUp()
										lowerCamelCase						:Optional[int]						  =     [
										    '''l''',
										    '''o''',
										    '''w''',
										    '''e''',
										    '''r''',
										    '''s''',
										    '''t''',
										    '''i''',
										    '''d''',
										    '''n''',
										    '''\u0120''',
										    '''\u0120l''',
										    '''\u0120n''',
										    '''\u0120lo''',
										    '''\u0120low''',
										    '''er''',
										    '''\u0120lowest''',
										    '''\u0120newer''',
										    '''\u0120wider''',
										    '''<unk>''',
										]
										lowerCamelCase						:Any						  =     dict(zip(__snake_case	,					range(len(__snake_case		)		)		)		)
										lowerCamelCase						:List[str]						  =     ['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
										lowerCamelCase						:int						  =     {'''unk_token''': '''<unk>'''}

										lowerCamelCase						:Optional[int]						  =     os.path.join(self.tmpdirname	,					VOCAB_FILES_NAMES['''vocab_file''']		)
										lowerCamelCase						:Any						  =     os.path.join(self.tmpdirname	,					VOCAB_FILES_NAMES['''merges_file''']		)
										with open(self.vocab_file	,					'''w'''	,					encoding='''utf-8'''		) as fp:
													fp.write(json.dumps(__snake_case		) + '''\n'''		)
										with open(self.merges_file	,					'''w'''	,					encoding='''utf-8'''		) as fp:
													fp.write('''\n'''.join(__snake_case		)		)







							def 				snake_case  (				self     :    int	,					**__snake_case     :    int		):
										kwargs.update(self.special_tokens_map		)
										return self.tokenizer_class.from_pretrained(self.tmpdirname	,					**__snake_case		)







							def 				snake_case  (				self     :    Dict	,					**__snake_case     :    Any		):
										kwargs.update(self.special_tokens_map		)
										return self.rust_tokenizer_class.from_pretrained(self.tmpdirname	,					**__snake_case		)







							def 				snake_case  (				self     :    Optional[Any]	,					__snake_case     :    Union[str, Any]		):
										return "lower newer", "lower newer"







							@cached_property
							def 				snake_case  (				self     :    Any		):
										return LEDTokenizer.from_pretrained('''allenai/led-base-16384'''		)







							@cached_property
							def 				snake_case  (				self     :    int		):
										return LEDTokenizerFast.from_pretrained('''allenai/led-base-16384'''		)







							@require_torch
							def 				snake_case  (				self     :    str		):
										lowerCamelCase						:Any						  =     ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
										lowerCamelCase						:List[Any]						  =     [0, 250, 251, 17818, 13, 39186, 1938, 4, 2]

										for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
													lowerCamelCase						:Optional[Any]						  =     tokenizer(__snake_case	,					max_length=len(__snake_case		)	,					padding=__snake_case	,					return_tensors='''pt'''		)
													self.assertIsInstance(__snake_case	,					__snake_case		)

													self.assertEqual((2, 9)	,					batch.input_ids.shape		)
													self.assertEqual((2, 9)	,					batch.attention_mask.shape		)
													lowerCamelCase						:List[Any]						  =     batch.input_ids.tolist()[0]
													self.assertListEqual(__snake_case	,					__snake_case		)







							@require_torch
							def 				snake_case  (				self     :    Tuple		):
										lowerCamelCase						:Dict						  =     ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
										for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
													lowerCamelCase						:Union[str, Any]						  =     tokenizer(__snake_case	,					padding=__snake_case	,					return_tensors='''pt'''		)
													self.assertIn('''input_ids'''	,					__snake_case		)
													self.assertIn('''attention_mask'''	,					__snake_case		)
													self.assertNotIn('''labels'''	,					__snake_case		)
													self.assertNotIn('''decoder_attention_mask'''	,					__snake_case		)







							@require_torch
							def 				snake_case  (				self     :    Union[str, Any]		):
										lowerCamelCase						:Union[str, Any]						  =     [
										    '''Summary of the text.''',
										    '''Another summary.''',
										]
										for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
													lowerCamelCase						:List[Any]						  =     tokenizer(text_target=__snake_case	,					max_length=32	,					padding='''max_length'''	,					return_tensors='''pt'''		)
													self.assertEqual(32	,					targets['''input_ids'''].shape[1]		)







							@require_torch
							def 				snake_case  (				self     :    List[Any]		):
										for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
													lowerCamelCase						:Optional[Any]						  =     tokenizer(
													    ['''I am a small frog''' * 1024, '''I am a small frog''']	,					padding=__snake_case	,					truncation=__snake_case	,					return_tensors='''pt'''		)
													self.assertIsInstance(__snake_case	,					__snake_case		)
													self.assertEqual(batch.input_ids.shape	,					(2, 5122)		)







							@require_torch
							def 				snake_case  (				self     :    Optional[int]		):
										lowerCamelCase						:Union[str, Any]						  =     ['''A long paragraph for summarization.''']
										lowerCamelCase						:Any						  =     [
										    '''Summary of the text.''',
										]
										for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
													lowerCamelCase						:Union[str, Any]						  =     tokenizer(__snake_case	,					return_tensors='''pt'''		)
													lowerCamelCase						:Any						  =     tokenizer(text_target=__snake_case	,					return_tensors='''pt'''		)
													lowerCamelCase						:Optional[int]						  =     inputs['''input_ids''']
													lowerCamelCase						:Any						  =     targets['''input_ids''']
													self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item()		)
													self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item()		)
													self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item()		)
													self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item()		)







							@require_torch
							def 				snake_case  (				self     :    Dict		):
										for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
													lowerCamelCase						:Optional[int]						  =     ['''Summary of the text.''', '''Another summary.''']
													lowerCamelCase						:List[Any]						  =     [[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -1, -1]]

													lowerCamelCase						:Optional[int]						  =     tokenizer(__snake_case	,					padding=__snake_case		)
													lowerCamelCase						:Union[str, Any]						  =     [[0] * len(__snake_case		) for x in encoded_output['''input_ids''']]
													lowerCamelCase						:str						  =     tokenizer.pad(__snake_case		)
													self.assertSequenceEqual(outputs['''global_attention_mask''']	,					__snake_case		)







							def 				snake_case  (				self     :    Tuple		):
										pass







							def 				snake_case  (				self     :    Optional[int]		):
										for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"		):
																lowerCamelCase						:Optional[Any]						  =     self.rust_tokenizer_class.from_pretrained(__snake_case	,					**__snake_case		)
																lowerCamelCase						:Tuple						  =     self.tokenizer_class.from_pretrained(__snake_case	,					**__snake_case		)
																lowerCamelCase						:int						  =     '''A, <mask> AllenNLP sentence.'''
																lowerCamelCase						:str						  =     tokenizer_r.encode_plus(__snake_case	,					add_special_tokens=__snake_case	,					return_token_type_ids=__snake_case		)
																lowerCamelCase						:str						  =     tokenizer_p.encode_plus(__snake_case	,					add_special_tokens=__snake_case	,					return_token_type_ids=__snake_case		)
																self.assertEqual(sum(tokens_r['''token_type_ids''']		)	,					sum(tokens_p['''token_type_ids''']		)		)
																self.assertEqual(
																    sum(tokens_r['''attention_mask''']		) / len(tokens_r['''attention_mask''']		)	,					sum(tokens_p['''attention_mask''']		) / len(tokens_p['''attention_mask''']		)	,					)

																lowerCamelCase						:Optional[int]						  =     tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']		)
																lowerCamelCase						:Tuple						  =     tokenizer_p.convert_ids_to_tokens(tokens_p['''input_ids''']		)
																self.assertSequenceEqual(tokens_p['''input_ids''']	,					[0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]		)
																self.assertSequenceEqual(tokens_r['''input_ids''']	,					[0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]		)

																self.assertSequenceEqual(
																    __snake_case	,					['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']		)
																self.assertSequenceEqual(
																    __snake_case	,					['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']		)



