
from json import JSONDecodeError  # Workaround for requests.exceptions.JSONDecodeError

import requests



def      __lowerCAmelCase						(							UpperCAmelCase__				:      str = "isbn/0140328726"       )  ->    dict:
							lowerCamelCase_							  =					olid.strip().strip("""/"""       )  # Remove leading/trailing whitespace & slashes
							if new_olid.count("""/"""       ) != 1:
														lowerCamelCase_							  =					F'''{olid} is not a valid Open Library olid'''
														raise ValueError(__UpperCamelCase       )
							return requests.get(F'''https://openlibrary.org/{new_olid}.json'''       ).json()



def      __lowerCAmelCase						(							UpperCAmelCase__				:      dict       )  ->    dict:
							lowerCamelCase_							  =					{
							    '''title''': '''Title''',
							    '''publish_date''': '''Publish date''',
							    '''authors''': '''Authors''',
							    '''number_of_pages''': '''Number of pages:''',
							    '''first_sentence''': '''First sentence''',
							    '''isbn_10''': '''ISBN (10)''',
							    '''isbn_13''': '''ISBN (13)''',
							}
							lowerCamelCase_							  =					{better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
							lowerCamelCase_							  =					[
							    get_openlibrary_data(author["""key"""]       )['''name'''] for author in data['''Authors''']
							]
							lowerCamelCase_							  =					data['''First sentence''']['''value''']
							for key, value in data.items():
														if isinstance(__UpperCamelCase			,				__UpperCamelCase       ):
																					lowerCamelCase_							  =					''', '''.join(__UpperCamelCase       )
							return data


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		while True:
				lowercase        =		input('''\nEnter the ISBN code to search (or \'quit\' to stop): ''').strip()
				if isbn.lower() in ("", "q", "quit", "exit", "stop"):
						break

				if len(isbn) not in (1_0, 1_3) or not isbn.isdigit():
						print(F"""Sorry, {isbn} is not a valid ISBN.  Please, input a valid ISBN.""")
						continue

				print(F"""\nSearching Open Library for ISBN: {isbn}...\n""")

				try:
						lowercase        =		summarize_book(get_openlibrary_data(F"""isbn/{isbn}"""))
						print('''\n'''.join(F"""{key}: {value}""" for key, value in book_summary.items()))
				except JSONDecodeError:  # Workaround for requests.exceptions.RequestException:
						print(F"""Sorry, there are no results for ISBN: {isbn}.""")







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


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

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

lowercase        =  2_5_0_0_0_4
lowercase        =  2_5_0_0_2_0





@require_sentencepiece
@require_tokenizers
class       __A(				UpperCAmelCase     ,		unittest.TestCase       ):
					SCREAMING_SNAKE_CASE			    =    MBartaaTokenizer
					SCREAMING_SNAKE_CASE			    =    MBartaaTokenizerFast
					SCREAMING_SNAKE_CASE			    =    True
					SCREAMING_SNAKE_CASE			    =    True

					def    lowercase__      (	self					:     Tuple   ):
												super().setUp()

												# We have a SentencePiece fixture for testing
												lowerCamelCase_							  =					MBartaaTokenizer(__UpperCamelCase   ,					src_lang="""en_XX"""   ,					tgt_lang="""ro_RO"""   ,					keep_accents=__UpperCamelCase   )
												tokenizer.save_pretrained(self.tmpdirname   )

					def    lowercase__      (	self					:     str   ):
												lowerCamelCase_							  =					"""<s>"""
												lowerCamelCase_							  =					0

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

					def    lowercase__      (	self					:     Optional[int]   ):
												lowerCamelCase_							  =					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   )   ,					1_0_5_4   )

					def    lowercase__      (	self					:     Optional[Any]   ):
												self.assertEqual(self.get_tokenizer().vocab_size   ,					1_0_5_4   )

					def    lowercase__      (	self					:     str   ):
												lowerCamelCase_							  =					MBartaaTokenizer(__UpperCamelCase   ,					src_lang="""en_XX"""   ,					tgt_lang="""ro_RO"""   ,					keep_accents=__UpperCamelCase   )

												lowerCamelCase_							  =					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 [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]   ,					)

												lowerCamelCase_							  =					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_							  =					tokenizer.convert_tokens_to_ids(__UpperCamelCase   )
												self.assertListEqual(
												    __UpperCamelCase   ,					[
												        value + tokenizer.fairseq_offset
												        for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
												    ]   ,					)

												lowerCamelCase_							  =					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    lowercase__      (	self					:     Optional[int]   ):
												# fmt: off
												lowerCamelCase_							  =					{"""input_ids""": [[2_5_0_0_0_4, 1_1_0_6_2, 8_2_7_7_2, 7, 1_5, 8_2_7_7_2, 5_3_8, 5_1_5_2_9, 2_3_7, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 2_1_5_1_7_5, 1_3_1_4, 1_3_6, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 5_6_3_5_9, 4_2, 1_2_2_0_0_9, 9, 1_6_4_6_6, 1_6, 8_7_3_4_4, 4_5_3_7, 9, 4_7_1_7, 7_8_3_8_1, 6, 1_5_9_9_5_8, 7, 1_5, 2_4_4_8_0, 6_1_8, 4, 5_2_7, 2_2_6_9_3, 5_4_2_8, 4, 2_7_7_7, 2_4_4_8_0, 9_8_7_4, 4, 4_3_5_2_3, 5_9_4, 4, 8_0_3, 1_8_3_9_2, 3_3_1_8_9, 1_8, 4, 4_3_5_2_3, 2_4_4_4_7, 1_2_3_9_9, 1_0_0, 2_4_9_5_5, 8_3_6_5_8, 9_6_2_6, 1_4_4_0_5_7, 1_5, 8_3_9, 2_2_3_3_5, 1_6, 1_3_6, 2_4_9_5_5, 8_3_6_5_8, 8_3_4_7_9, 1_5, 3_9_1_0_2, 7_2_4, 1_6, 6_7_8, 6_4_5, 2_7_8_9, 1_3_2_8, 4_5_8_9, 4_2, 1_2_2_0_0_9, 1_1_5_7_7_4, 2_3, 8_0_5, 1_3_2_8, 4_6_8_7_6, 7, 1_3_6, 5_3_8_9_4, 1_9_4_0, 4_2_2_2_7, 4_1_1_5_9, 1_7_7_2_1, 8_2_3, 4_2_5, 4, 2_7_5_1_2, 9_8_7_2_2, 2_0_6, 1_3_6, 5_5_3_1, 4_9_7_0, 9_1_9, 1_7_3_3_6, 5, 2], [2_5_0_0_0_4, 2_0_0_8_0, 6_1_8, 8_3, 8_2_7_7_5, 4_7, 4_7_9, 9, 1_5_1_7, 7_3, 5_3_8_9_4, 3_3_3, 8_0_5_8_1, 1_1_0_1_1_7, 1_8_8_1_1, 5_2_5_6, 1_2_9_5, 5_1, 1_5_2_5_2_6, 2_9_7, 7_9_8_6, 3_9_0, 1_2_4_4_1_6, 5_3_8, 3_5_4_3_1, 2_1_4, 9_8, 1_5_0_4_4, 2_5_7_3_7, 1_3_6, 7_1_0_8, 4_3_7_0_1, 2_3, 7_5_6, 1_3_5_3_5_5, 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], [2_5_0_0_0_4, 5_8_1, 6_3_7_7_3, 1_1_9_4_5_5, 6, 1_4_7_7_9_7, 8_8_2_0_3, 7, 6_4_5, 7_0, 2_1, 3_2_8_5, 1_0_2_6_9, 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    lowercase__      (	self					:     Dict   ):
												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_							  =					(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_							  =					self.rust_tokenizer_class.from_pretrained(__UpperCamelCase   ,					**__UpperCamelCase   )
																										lowerCamelCase_							  =					self.tokenizer_class.from_pretrained(__UpperCamelCase   ,					**__UpperCamelCase   )

																										lowerCamelCase_							  =					tempfile.mkdtemp()

																										lowerCamelCase_							  =					tokenizer_r.save_pretrained(__UpperCamelCase   )
																										lowerCamelCase_							  =					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_							  =					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_							  =					tokenizer_r.from_pretrained(__UpperCamelCase   )
																										lowerCamelCase_							  =					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_							  =					tempfile.mkdtemp()

																										lowerCamelCase_							  =					tokenizer_r.save_pretrained(__UpperCamelCase   ,					legacy_format=__UpperCamelCase   )
																										lowerCamelCase_							  =					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_							  =					tokenizer_r.from_pretrained(__UpperCamelCase   )
																										lowerCamelCase_							  =					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_							  =					tempfile.mkdtemp()

																										lowerCamelCase_							  =					tokenizer_r.save_pretrained(__UpperCamelCase   ,					legacy_format=__UpperCamelCase   )
																										lowerCamelCase_							  =					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_							  =					tokenizer_r.from_pretrained(__UpperCamelCase   )
																										lowerCamelCase_							  =					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       __A(				unittest.TestCase       ):
					SCREAMING_SNAKE_CASE			    =    '''facebook/mbart-large-50-one-to-many-mmt'''
					SCREAMING_SNAKE_CASE			    =    [
					    ''' 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.''',
					]
					SCREAMING_SNAKE_CASE			    =    [
					    '''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.''',
					]
					SCREAMING_SNAKE_CASE			    =    [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    lowercase__      (	cls					:     Optional[Any]   ):
												lowerCamelCase_							  =					MBartaaTokenizer.from_pretrained(
												    cls.checkpoint_name   ,					src_lang="""en_XX"""   ,					tgt_lang="""ro_RO"""   )
												lowerCamelCase_							  =					1
												return cls

					def    lowercase__      (	self					:     Union[str, Any]   ):
												self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""ar_AR"""]   ,					2_5_0_0_0_1   )
												self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""en_EN"""]   ,					2_5_0_0_0_4   )
												self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""ro_RO"""]   ,					2_5_0_0_2_0   )
												self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""mr_IN"""]   ,					2_5_0_0_3_8   )

					def    lowercase__      (	self					:     Optional[Any]   ):
												lowerCamelCase_							  =					self.tokenizer.batch_encode_plus(self.src_text   ).input_ids[0]
												self.assertListEqual(self.expected_src_tokens   ,					__UpperCamelCase   )

					def    lowercase__      (	self					:     Tuple   ):
												self.assertIn(__UpperCamelCase   ,					self.tokenizer.all_special_ids   )
												lowerCamelCase_							  =					[RO_CODE, 8_8_4, 9_0_1_9, 9_6, 9, 9_1_6, 8_6_7_9_2, 3_6, 1_8_7_4_3, 1_5_5_9_6, 5, 2]
												lowerCamelCase_							  =					self.tokenizer.decode(__UpperCamelCase   ,					skip_special_tokens=__UpperCamelCase   )
												lowerCamelCase_							  =					self.tokenizer.decode(generated_ids[1:]   ,					skip_special_tokens=__UpperCamelCase   )
												self.assertEqual(__UpperCamelCase   ,					__UpperCamelCase   )
												self.assertNotIn(self.tokenizer.eos_token   ,					__UpperCamelCase   )

					def    lowercase__      (	self					:     Any   ):
												lowerCamelCase_							  =					["""this is gunna be a long sentence """ * 2_0]
												assert isinstance(src_text[0]   ,					__UpperCamelCase   )
												lowerCamelCase_							  =					1_0
												lowerCamelCase_							  =					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    lowercase__      (	self					:     Any   ):
												self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["""<mask>""", """ar_AR"""]   )   ,					[2_5_0_0_5_3, 2_5_0_0_0_1]   )

					def    lowercase__      (	self					:     Dict   ):
												lowerCamelCase_							  =					tempfile.mkdtemp()
												lowerCamelCase_							  =					self.tokenizer.fairseq_tokens_to_ids
												self.tokenizer.save_pretrained(__UpperCamelCase   )
												lowerCamelCase_							  =					MBartaaTokenizer.from_pretrained(__UpperCamelCase   )
												self.assertDictEqual(new_tok.fairseq_tokens_to_ids   ,					__UpperCamelCase   )

					@require_torch
					def    lowercase__      (	self					:     Optional[Any]   ):
												lowerCamelCase_							  =					self.tokenizer(self.src_text   ,					text_target=self.tgt_text   ,					padding=__UpperCamelCase   ,					return_tensors="""pt"""   )
												lowerCamelCase_							  =					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    lowercase__      (	self					:     Optional[int]   ):
												lowerCamelCase_							  =					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_							  =					shift_tokens_right(batch["""labels"""]   ,					self.tokenizer.pad_token_id   )

												self.assertIsInstance(__UpperCamelCase   ,					__UpperCamelCase   )

												self.assertEqual((2, 1_4)   ,					batch.input_ids.shape   )
												self.assertEqual((2, 1_4)   ,					batch.attention_mask.shape   )
												lowerCamelCase_							  =					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    lowercase__      (	self					:     Union[str, Any]   ):
												lowerCamelCase_							  =					self.tokenizer(self.src_text   ,					padding=__UpperCamelCase   ,					truncation=__UpperCamelCase   ,					max_length=3   ,					return_tensors="""pt"""   )
												lowerCamelCase_							  =					self.tokenizer(
												    text_target=self.tgt_text   ,					padding=__UpperCamelCase   ,					truncation=__UpperCamelCase   ,					max_length=1_0   ,					return_tensors="""pt"""   )
												lowerCamelCase_							  =					targets["""input_ids"""]
												lowerCamelCase_							  =					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]   ,					1_0   )



					@require_torch
					def    lowercase__      (	self					:     Union[str, Any]   ):
												lowerCamelCase_							  =					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""": [[2_5_0_0_0_4, 6_2, 3_0_3_4, 2]],
												        """attention_mask""": [[1, 1, 1, 1]],
												        # ar_AR
												        """forced_bos_token_id""": 2_5_0_0_0_1,
												    }   ,					)





