

'''simple docstring'''
import unittest

from transformers import DebertaVaTokenizer, DebertaVaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


_lowerCamelCase      					=     get_tests_dir("""fixtures/spiece.model""")
@require_sentencepiece
@require_tokenizers
class 					_snake_case		(__SCREAMING_SNAKE_CASE			,			unittest.TestCase):
			__A  :	Optional[int]        =DebertaVaTokenizer
			__A  :	Union[str, Any]        =DebertaVaTokenizerFast
			__A  :	str        =True
			__A  :	List[str]        =True






			def 		UpperCamelCase__							(  self     ):
				super().setUp()

				# We have a SentencePiece fixture for testing
				UpperCAmelCase_     :      Optional[int]						=  DebertaVaTokenizer(_snake_case			,unk_token="<unk>"     )
				tokenizer.save_pretrained(self.tmpdirname     )






			def 		UpperCamelCase__							(  self			,_snake_case     ):
				UpperCAmelCase_     :      List[Any]						=  "this is a test"
				UpperCAmelCase_     :      Optional[Any]						=  "this is a test"
				return input_text, output_text






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      Optional[Any]						=  "<pad>"
				UpperCAmelCase_     :      str						=  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 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      int						=  list(self.get_tokenizer().get_vocab().keys()     )
				self.assertEqual(vocab_keys[0]			,"<pad>"     )
				self.assertEqual(vocab_keys[1]			,"<unk>"     )
				self.assertEqual(vocab_keys[-1]			,"[PAD]"     )
				self.assertEqual(len(_snake_case     )			,3_00_01     )






			def 		UpperCamelCase__							(  self     ):
				self.assertEqual(self.get_tokenizer().vocab_size			,3_00_00     )






			def 		UpperCamelCase__							(  self     ):
				# fmt: off
				UpperCAmelCase_     :      str						=  " \tHeLLo!how  \n Are yoU?  "
				UpperCAmelCase_     :      Union[str, Any]						=  ["▁hello", "!", "how", "▁are", "▁you", "?"]
				# fmt: on

				UpperCAmelCase_     :      Tuple						=  DebertaVaTokenizer(_snake_case			,do_lower_case=_snake_case     )
				UpperCAmelCase_     :      Union[str, Any]						=  tokenizer.convert_ids_to_tokens(tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )     )

				self.assertListEqual(_snake_case			,_snake_case     )

				UpperCAmelCase_     :      Tuple						=  DebertaVaTokenizerFast(_snake_case			,do_lower_case=_snake_case     )
				UpperCAmelCase_     :      Any						=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )     )

				self.assertListEqual(_snake_case			,_snake_case     )






			@unittest.skip("There is an inconsistency between slow and fast tokenizer due to a bug in the fast one."     )
			def 		UpperCamelCase__							(  self     ):
				pass






			@unittest.skip("There is an inconsistency between slow and fast tokenizer due to a bug in the fast one."     )
			def 		UpperCamelCase__							(  self     ):
				pass






			def 		UpperCamelCase__							(  self     ):
				# fmt: off
				UpperCAmelCase_     :      Optional[int]						=  "I was born in 92000, and this is falsé."
				UpperCAmelCase_     :      List[str]						=  ["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", "▁", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "▁", ".", ]
				# fmt: on

				UpperCAmelCase_     :      List[Any]						=  DebertaVaTokenizer(_snake_case			,split_by_punct=_snake_case     )
				UpperCAmelCase_     :      Optional[int]						=  tokenizer.convert_ids_to_tokens(tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )     )

				self.assertListEqual(_snake_case			,_snake_case     )

				UpperCAmelCase_     :      int						=  DebertaVaTokenizerFast(_snake_case			,split_by_punct=_snake_case     )
				UpperCAmelCase_     :      Dict						=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )     )

				self.assertListEqual(_snake_case			,_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				# fmt: off
				UpperCAmelCase_     :      Tuple						=  "I was born in 92000, and this is falsé."
				UpperCAmelCase_     :      Dict						=  ["▁i", "▁was", "▁born", "▁in", "▁9", "2000", "▁", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "▁", ".", ]
				# fmt: on

				UpperCAmelCase_     :      Optional[Any]						=  DebertaVaTokenizer(_snake_case			,do_lower_case=_snake_case			,split_by_punct=_snake_case     )
				UpperCAmelCase_     :      Any						=  tokenizer.convert_ids_to_tokens(tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )     )
				self.assertListEqual(_snake_case			,_snake_case     )

				UpperCAmelCase_     :      List[Any]						=  DebertaVaTokenizerFast(_snake_case			,do_lower_case=_snake_case			,split_by_punct=_snake_case     )
				UpperCAmelCase_     :      Tuple						=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )     )
				self.assertListEqual(_snake_case			,_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				# fmt: off
				UpperCAmelCase_     :      Optional[int]						=  "I was born in 92000, and this is falsé."
				UpperCAmelCase_     :      Optional[int]						=  ["▁i", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", ".", ]
				# fmt: on

				UpperCAmelCase_     :      List[Any]						=  DebertaVaTokenizer(_snake_case			,do_lower_case=_snake_case			,split_by_punct=_snake_case     )
				UpperCAmelCase_     :      str						=  tokenizer.convert_ids_to_tokens(tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )     )

				self.assertListEqual(_snake_case			,_snake_case     )

				UpperCAmelCase_     :      Optional[Any]						=  DebertaVaTokenizerFast(_snake_case			,do_lower_case=_snake_case			,split_by_punct=_snake_case     )
				UpperCAmelCase_     :      str						=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )     )

				self.assertListEqual(_snake_case			,_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				# fmt: off
				UpperCAmelCase_     :      Optional[int]						=  "I was born in 92000, and this is falsé."
				UpperCAmelCase_     :      Optional[Any]						=  ["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", "▁", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "▁", ".", ]
				# fmt: on

				UpperCAmelCase_     :      List[str]						=  DebertaVaTokenizer(_snake_case			,do_lower_case=_snake_case			,split_by_punct=_snake_case     )
				UpperCAmelCase_     :      Tuple						=  tokenizer.convert_ids_to_tokens(tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )     )

				self.assertListEqual(_snake_case			,_snake_case     )

				UpperCAmelCase_     :      Dict						=  DebertaVaTokenizerFast(_snake_case			,do_lower_case=_snake_case			,split_by_punct=_snake_case     )
				UpperCAmelCase_     :      Dict						=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )     )

				self.assertListEqual(_snake_case			,_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				# fmt: off
				UpperCAmelCase_     :      Tuple						=  " \tHeLLo!how  \n Are yoU?  "
				UpperCAmelCase_     :      List[Any]						=  ["▁", "<unk>", "e", "<unk>", "o", "!", "how", "▁", "<unk>", "re", "▁yo", "<unk>", "?"]
				# fmt: on

				UpperCAmelCase_     :      Any						=  DebertaVaTokenizer(_snake_case			,do_lower_case=_snake_case			,split_by_punct=_snake_case     )
				UpperCAmelCase_     :      List[str]						=  tokenizer.convert_ids_to_tokens(tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )     )

				self.assertListEqual(_snake_case			,_snake_case     )

				UpperCAmelCase_     :      int						=  DebertaVaTokenizerFast(_snake_case			,do_lower_case=_snake_case			,split_by_punct=_snake_case     )
				UpperCAmelCase_     :      Tuple						=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )     )

				self.assertListEqual(_snake_case			,_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      List[str]						=  self.get_tokenizer()
				UpperCAmelCase_     :      Union[str, Any]						=  self.get_rust_tokenizer()

				UpperCAmelCase_     :      Dict						=  "I was born in 92000, and this is falsé."

				UpperCAmelCase_     :      Any						=  tokenizer.convert_ids_to_tokens(tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )     )
				UpperCAmelCase_     :      Optional[Any]						=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )     )
				self.assertListEqual(_snake_case			,_snake_case     )

				UpperCAmelCase_     :      Tuple						=  tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )
				UpperCAmelCase_     :      int						=  rust_tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )
				self.assertListEqual(_snake_case			,_snake_case     )

				UpperCAmelCase_     :      Optional[Any]						=  self.get_rust_tokenizer()
				UpperCAmelCase_     :      Union[str, Any]						=  tokenizer.encode(_snake_case     )
				UpperCAmelCase_     :      List[Any]						=  rust_tokenizer.encode(_snake_case     )
				self.assertListEqual(_snake_case			,_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      Any						=  "This is a test"
				UpperCAmelCase_     :      Optional[int]						=  [13, 1, 43_98, 25, 21, 12_89]
				UpperCAmelCase_     :      Optional[Any]						=  ["▁", "T", "his", "▁is", "▁a", "▁test"]
				UpperCAmelCase_     :      List[str]						=  ["▁", "<unk>", "his", "▁is", "▁a", "▁test"]

				UpperCAmelCase_     :      str						=  DebertaVaTokenizer(_snake_case			,keep_accents=_snake_case     )
				UpperCAmelCase_     :      List[Any]						=  DebertaVaTokenizerFast(_snake_case			,keep_accents=_snake_case     )

				UpperCAmelCase_     :      Optional[int]						=  tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )
				self.assertListEqual(_snake_case			,_snake_case     )
				UpperCAmelCase_     :      Any						=  tokenizer.tokenize(_snake_case     )
				self.assertListEqual(_snake_case			,_snake_case     )
				UpperCAmelCase_     :      Union[str, Any]						=  tokenizer.convert_ids_to_tokens(_snake_case     )
				self.assertListEqual(_snake_case			,_snake_case     )

				UpperCAmelCase_     :      List[Any]						=  rust_tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )
				self.assertListEqual(_snake_case			,_snake_case     )
				UpperCAmelCase_     :      Dict						=  rust_tokenizer.tokenize(_snake_case     )
				self.assertListEqual(_snake_case			,_snake_case     )
				UpperCAmelCase_     :      List[str]						=  rust_tokenizer.convert_ids_to_tokens(_snake_case     )
				self.assertListEqual(_snake_case			,_snake_case     )

				# fmt: off
				UpperCAmelCase_     :      List[str]						=  "I was born in 92000, and this is falsé."
				UpperCAmelCase_     :      Optional[int]						=  [13, 1, 23, 3_86, 19, 5_61, 30_50, 15, 17, 48, 25, 82_56, 18, 1, 9]
				UpperCAmelCase_     :      str						=  ["▁", "I", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "é", ".", ]
				UpperCAmelCase_     :      List[str]						=  ["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", ".", ]
				# fmt: on

				UpperCAmelCase_     :      List[str]						=  tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )
				self.assertListEqual(_snake_case			,_snake_case     )
				UpperCAmelCase_     :      Dict						=  tokenizer.tokenize(_snake_case     )
				self.assertListEqual(_snake_case			,_snake_case     )
				UpperCAmelCase_     :      int						=  tokenizer.convert_ids_to_tokens(_snake_case     )
				self.assertListEqual(_snake_case			,_snake_case     )

				UpperCAmelCase_     :      Optional[int]						=  rust_tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )
				self.assertListEqual(_snake_case			,_snake_case     )
				UpperCAmelCase_     :      Optional[int]						=  rust_tokenizer.tokenize(_snake_case     )
				self.assertListEqual(_snake_case			,_snake_case     )
				UpperCAmelCase_     :      Any						=  rust_tokenizer.convert_ids_to_tokens(_snake_case     )
				self.assertListEqual(_snake_case			,_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      Any						=  DebertaVaTokenizer(_snake_case     )

				UpperCAmelCase_     :      Optional[int]						=  tokenizer.encode("sequence builders"     )
				UpperCAmelCase_     :      Dict						=  tokenizer.encode("multi-sequence build"     )

				UpperCAmelCase_     :      Tuple						=  tokenizer.build_inputs_with_special_tokens(_snake_case     )
				UpperCAmelCase_     :      Optional[Any]						=  tokenizer.build_inputs_with_special_tokens(_snake_case			,_snake_case     )

				self.assertEqual([tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]			,_snake_case     )
				self.assertEqual(
				    [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [tokenizer.sep_token_id]			,_snake_case			,)






			@slow
			def 		UpperCamelCase__							(  self     ):
				# fmt: off
				UpperCAmelCase_     :      Union[str, Any]						=  {"input_ids": [[1, 3_98_67, 36, 1_93_90, 4_86, 27, 3_50_52, 8_14_36, 18, 6_06_85, 12_25, 7, 3_50_52, 8_14_36, 18, 93_67, 1_68_99, 18, 1_59_37, 53, 5_94, 7_73, 18, 1_62_87, 3_04_65, 36, 1_59_37, 6, 4_11_39, 38, 3_69_79, 6_07_63, 1_91, 6, 3_41_32, 99, 6, 5_05_38, 3_90, 4_32_30, 6, 3_41_32, 27_79, 2_08_50, 14, 6_99, 10_72, 11_94, 36, 3_82, 1_09_01, 53, 7, 6_99, 10_72, 20_84, 36, 2_04_22, 6_30, 53, 19, 1_05, 30_49, 18_96, 10_53, 1_68_99, 15_06, 11, 3_79_78, 42_43, 7, 12_37, 3_18_69, 2_00, 1_65_66, 6_54, 6, 3_50_52, 8_14_36, 7, 5_56_30, 1_35_93, 4, 2], [1, 26, 1_50_11, 13, 6_67, 8, 10_53, 18, 2_36_11, 12_37, 7_23_56, 1_28_20, 34, 10_41_34, 12_09, 35, 1_33_13, 66_27, 21, 2_02, 3_47, 7, 1_64, 23_99, 11, 46, 44_85, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 5, 12_32, 28_64, 1_57_85, 1_49_51, 1_05, 5, 85_81, 12_50, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "token_type_ids": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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="microsoft/deberta-v2-xlarge"			,revision="ad6e42c1532ddf3a15c39246b63f5559d558b670"			,)









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_    :  Tuple						  =		get_tests_dir('fixtures/test_sentencepiece.model')

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

a_    :  Union[str, Any]						  =		2_5_0_0_0_4
a_    :  int						  =		2_5_0_0_2_0





@require_sentencepiece
@require_tokenizers
class  lowerCamelCase__	(    UpperCAmelCase_							,     unittest.TestCase):
     """simple docstring"""



     _A      =      MBartaaTokenizer
     _A      =      MBartaaTokenizerFast
     _A      =      True
     _A      =      True







     def     _a   (self     ):






           '''simple docstring'''



           super().setUp()

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







     def     _a   (self     ):






           '''simple docstring'''



           lowerCamelCase             =		"<s>"
           lowerCamelCase             =		0

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







     def     _a   (self     ):






           '''simple docstring'''



           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(__a     )					,      10_54     )







     def     _a   (self     ):






           '''simple docstring'''



           self.assertEqual(self.get_tokenizer().vocab_size					,      10_54     )







     def     _a   (self     ):






           '''simple docstring'''



           lowerCamelCase             =		MBartaaTokenizer(__a					,      src_lang="en_XX"					,      tgt_lang="ro_RO"					,      keep_accents=__a     )

           lowerCamelCase             =		tokenizer.tokenize("This is a test"     )
           self.assertListEqual(__a					,      ["▁This", "▁is", "▁a", "▁t", "est"]     )

           self.assertListEqual(
               tokenizer.convert_tokens_to_ids(__a     )					,      [value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]]					,      )

           lowerCamelCase             =		tokenizer.tokenize("I was born in 92000, and this is falsé."     )
           self.assertListEqual(
               __a					,      [SPIECE_UNDERLINE + "I", SPIECE_UNDERLINE + "was", SPIECE_UNDERLINE + "b", "or", "n", SPIECE_UNDERLINE + "in", SPIECE_UNDERLINE + "", "9", "2", "0", "0", "0", ",", SPIECE_UNDERLINE + "and", SPIECE_UNDERLINE + "this", SPIECE_UNDERLINE + "is", SPIECE_UNDERLINE + "f", "al", "s", "é", "."]					,      )
           lowerCamelCase             =		tokenizer.convert_tokens_to_ids(__a     )
           self.assertListEqual(
               __a					,      [
                   value + tokenizer.fairseq_offset
                   for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
               ]					,      )

           lowerCamelCase             =		tokenizer.convert_ids_to_tokens(__a     )
           self.assertListEqual(
               __a					,      [SPIECE_UNDERLINE + "I", SPIECE_UNDERLINE + "was", SPIECE_UNDERLINE + "b", "or", "n", SPIECE_UNDERLINE + "in", SPIECE_UNDERLINE + "", "<unk>", "2", "0", "0", "0", ",", SPIECE_UNDERLINE + "and", SPIECE_UNDERLINE + "this", SPIECE_UNDERLINE + "is", SPIECE_UNDERLINE + "f", "al", "s", "<unk>", "."]					,      )







     @slow
     def     _a   (self     ):






           '''simple docstring'''



           lowerCamelCase             =		{"input_ids": [[25_00_04, 1_10_62, 8_27_72, 7, 15, 8_27_72, 5_38, 5_15_29, 2_37, 1_71_98, 12_90, 2_06, 9, 21_51_75, 13_14, 1_36, 1_71_98, 12_90, 2_06, 9, 5_63_59, 42, 12_20_09, 9, 1_64_66, 16, 8_73_44, 45_37, 9, 47_17, 7_83_81, 6, 15_99_58, 7, 15, 2_44_80, 6_18, 4, 5_27, 2_26_93, 54_28, 4, 27_77, 2_44_80, 98_74, 4, 4_35_23, 5_94, 4, 8_03, 1_83_92, 3_31_89, 18, 4, 4_35_23, 2_44_47, 1_23_99, 1_00, 2_49_55, 8_36_58, 96_26, 14_40_57, 15, 8_39, 2_23_35, 16, 1_36, 2_49_55, 8_36_58, 8_34_79, 15, 3_91_02, 7_24, 16, 6_78, 6_45, 27_89, 13_28, 45_89, 42, 12_20_09, 11_57_74, 23, 8_05, 13_28, 4_68_76, 7, 1_36, 5_38_94, 19_40, 4_22_27, 4_11_59, 1_77_21, 8_23, 4_25, 4, 2_75_12, 9_87_22, 2_06, 1_36, 55_31, 49_70, 9_19, 1_73_36, 5, 2], [25_00_04, 2_00_80, 6_18, 83, 8_27_75, 47, 4_79, 9, 15_17, 73, 5_38_94, 3_33, 8_05_81, 11_01_17, 1_88_11, 52_56, 12_95, 51, 15_25_26, 2_97, 79_86, 3_90, 12_44_16, 5_38, 3_54_31, 2_14, 98, 1_50_44, 2_57_37, 1_36, 71_08, 4_37_01, 23, 7_56, 13_53_55, 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], [25_00_04, 5_81, 6_37_73, 11_94_55, 6, 14_77_97, 8_82_03, 7, 6_45, 70, 21, 32_85, 1_02_69, 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=__a					,      model_name="facebook/mbart-large-50"					,      revision="d3913889c59cd5c9e456b269c376325eabad57e2"					,      )







     def     _a   (self     ):






           '''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

           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(__a					,      **__a     )
                       lowerCamelCase             =		self.tokenizer_class.from_pretrained(__a					,      **__a     )

                       lowerCamelCase             =		tempfile.mkdtemp()

                       lowerCamelCase             =		tokenizer_r.save_pretrained(__a     )
                       lowerCamelCase             =		tokenizer_p.save_pretrained(__a     )

                       # Checks it save with the same files + the tokenizer.json file for the fast one
                       self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files     )     )
                       lowerCamelCase             =		tuple(f for f in tokenizer_r_files if "tokenizer.json" not in f     )
                       self.assertSequenceEqual(__a					,      __a     )

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

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

                       shutil.rmtree(__a     )

                       # Save tokenizer rust, legacy_format=True
                       lowerCamelCase             =		tempfile.mkdtemp()

                       lowerCamelCase             =		tokenizer_r.save_pretrained(__a					,      legacy_format=__a     )
                       lowerCamelCase             =		tokenizer_p.save_pretrained(__a     )

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

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

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

                       shutil.rmtree(__a     )

                       # Save tokenizer rust, legacy_format=False
                       lowerCamelCase             =		tempfile.mkdtemp()

                       lowerCamelCase             =		tokenizer_r.save_pretrained(__a					,      legacy_format=__a     )
                       lowerCamelCase             =		tokenizer_p.save_pretrained(__a     )

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

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

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

                       shutil.rmtree(__a     )





@require_torch
@require_sentencepiece
@require_tokenizers
class  lowerCamelCase__	(    unittest.TestCase):
     """simple docstring"""



     _A      =      'facebook/mbart-large-50-one-to-many-mmt'
     _A      =      [
         ' 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.',
     ]
     _A      =      [
         '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.',
     ]
     _A      =      [EN_CODE, 82_74, 12_78_73, 2_59_16, 7, 86_22, 20_71, 4_38, 6_74_85, 53, 18_78_95, 23, 5_17_12, 2]







     @classmethod
     def     _a   (cls     ):






           '''simple docstring'''



           lowerCamelCase             =		MBartaaTokenizer.from_pretrained(
               cls.checkpoint_name					,      src_lang="en_XX"					,      tgt_lang="ro_RO"     )
           lowerCamelCase             =		1
           return cls







     def     _a   (self     ):






           '''simple docstring'''



           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ar_AR"]					,      25_00_01     )
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["en_EN"]					,      25_00_04     )
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ro_RO"]					,      25_00_20     )
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["mr_IN"]					,      25_00_38     )







     def     _a   (self     ):






           '''simple docstring'''



           lowerCamelCase             =		self.tokenizer.batch_encode_plus(self.src_text     ).input_ids[0]
           self.assertListEqual(self.expected_src_tokens					,      __a     )







     def     _a   (self     ):






           '''simple docstring'''



           self.assertIn(__a					,      self.tokenizer.all_special_ids     )
           lowerCamelCase             =		[RO_CODE, 8_84, 90_19, 96, 9, 9_16, 8_67_92, 36, 1_87_43, 1_55_96, 5, 2]
           lowerCamelCase             =		self.tokenizer.decode(__a					,      skip_special_tokens=__a     )
           lowerCamelCase             =		self.tokenizer.decode(generated_ids[1:]					,      skip_special_tokens=__a     )
           self.assertEqual(__a					,      __a     )
           self.assertNotIn(self.tokenizer.eos_token					,      __a     )







     def     _a   (self     ):






           '''simple docstring'''



           lowerCamelCase             =		["this is gunna be a long sentence " * 20]
           assert isinstance(src_text[0]					,      __a     )
           lowerCamelCase             =		10
           lowerCamelCase             =		self.tokenizer(__a					,      max_length=__a					,      truncation=__a     ).input_ids[0]
           self.assertEqual(ids[0]					,      __a     )
           self.assertEqual(ids[-1]					,      2     )
           self.assertEqual(len(__a     )					,      __a     )







     def     _a   (self     ):






           '''simple docstring'''



           self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]     )					,      [25_00_53, 25_00_01]     )







     def     _a   (self     ):






           '''simple docstring'''



           lowerCamelCase             =		tempfile.mkdtemp()
           lowerCamelCase             =		self.tokenizer.fairseq_tokens_to_ids
           self.tokenizer.save_pretrained(__a     )
           lowerCamelCase             =		MBartaaTokenizer.from_pretrained(__a     )
           self.assertDictEqual(new_tok.fairseq_tokens_to_ids					,      __a     )







     @require_torch
     def     _a   (self     ):






           '''simple docstring'''



           lowerCamelCase             =		self.tokenizer(self.src_text					,      text_target=self.tgt_text					,      padding=__a					,      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     _a   (self     ):






           '''simple docstring'''



           lowerCamelCase             =		self.tokenizer(
               self.src_text					,      text_target=self.tgt_text					,      padding=__a					,      truncation=__a					,      max_length=len(self.expected_src_tokens     )					,      return_tensors="pt"					,      )
           lowerCamelCase             =		shift_tokens_right(batch["labels"]					,      self.tokenizer.pad_token_id     )

           self.assertIsInstance(__a					,      __a     )

           self.assertEqual((2, 14)					,      batch.input_ids.shape     )
           self.assertEqual((2, 14)					,      batch.attention_mask.shape     )
           lowerCamelCase             =		batch.input_ids.tolist()[0]
           self.assertListEqual(self.expected_src_tokens					,      __a     )
           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     _a   (self     ):






           '''simple docstring'''



           lowerCamelCase             =		self.tokenizer(self.src_text					,      padding=__a					,      truncation=__a					,      max_length=3					,      return_tensors="pt"     )
           lowerCamelCase             =		self.tokenizer(
               text_target=self.tgt_text					,      padding=__a					,      truncation=__a					,      max_length=10					,      return_tensors="pt"     )
           lowerCamelCase             =		targets["input_ids"]
           lowerCamelCase             =		shift_tokens_right(__a					,      self.tokenizer.pad_token_id     )

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







     @require_torch
     def     _a   (self     ):






           '''simple docstring'''



           lowerCamelCase             =		self.tokenizer._build_translation_inputs(
               "A test"					,      return_tensors="pt"					,      src_lang="en_XX"					,      tgt_lang="ar_AR"     )

           self.assertEqual(
               nested_simplify(__a     )					,      {
                   # en_XX, A, test, EOS
                   "input_ids": [[25_00_04, 62, 30_34, 2]],
                   "attention_mask": [[1, 1, 1, 1]],
                   # ar_AR
                   "forced_bos_token_id": 25_00_01,
               }					,      )