

import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, PLBartTokenizer, 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


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


if is_torch_available():
			from transformers.models.plbart.modeling_plbart import shift_tokens_right

a__												=						50003
a__												=						50002

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







							UpperCAmelCase__			:		Dict             =       PLBartTokenizer
							UpperCAmelCase__			:		str             =       None
							UpperCAmelCase__			:		Tuple             =       False


							def 							__lowercase							(     self			)       ->       int:
												super().setUp()

												# We have a SentencePiece fixture for testing
												_a      :       int   =						PLBartTokenizer(_a			,				language_codes='''base'''			,				keep_accents=_a			)
												tokenizer.save_pretrained(self.tmpdirname			)


							def 							__lowercase							(     self			)       ->       Tuple:
												_a      :       str   =						PLBartTokenizer(_a			,				language_codes='''base'''			,				keep_accents=_a			)

												_a      :       Optional[Any]   =						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_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]			,				)

												_a      :       int   =						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''',
												        '''.''',
												    ]			,				)
												_a      :       Optional[int]   =						tokenizer.convert_tokens_to_ids(_a			)
												self.assertListEqual(
												    _a			,				[
												        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]
												    ]			,				)

												_a      :       int   =						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>''',
												        '''.''',
												    ]			,				)

												_a      :       Any   =						tokenizer.vocab_size
												_a      :       Any   =						[tokenizer.convert_ids_to_tokens(_a			) for x in range(end - 4			,				_a			)]

												self.assertListEqual(_a			,				['''__java__''', '''__python__''', '''__en_XX__''', '''<mask>''']			)

												_a      :       List[Any]   =						'''java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'''
												_a      :       str   =						tokenizer(_a			).input_ids
												self.assertEqual(
												    tokenizer.decode(_a			,				skip_special_tokens=_a			,				clean_up_tokenization_spaces=_a			)			,				_a			,				)




							def 							__lowercase							(     self			)       ->       Dict:
												_a      :       int   =						PLBartTokenizer(_a			,				language_codes='''multi'''			,				keep_accents=_a			)

												_a      :       Optional[int]   =						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_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]			,				)

												_a      :       Dict   =						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''',
												        '''.''',
												    ]			,				)
												_a      :       Tuple   =						tokenizer.convert_tokens_to_ids(_a			)
												self.assertListEqual(
												    _a			,				[
												        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]
												    ]			,				)

												_a      :       List[Any]   =						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>''',
												        '''.''',
												    ]			,				)
												_a      :       Optional[Any]   =						tokenizer.vocab_size
												_a      :       Dict   =						[tokenizer.convert_ids_to_tokens(_a			) for x in range(end - 7			,				_a			)]

												self.assertListEqual(
												    _a			,				['''__java__''', '''__python__''', '''__en_XX__''', '''__javascript__''', '''__php__''', '''__ruby__''', '''__go__''']			)
												_a      :       Optional[Any]   =						'''java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'''
												_a      :       str   =						tokenizer(_a			).input_ids
												self.assertEqual(
												    tokenizer.decode(_a			,				skip_special_tokens=_a			,				clean_up_tokenization_spaces=_a			)			,				_a			,				)



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







							UpperCAmelCase__			:		List[Any]             =       "uclanlp/plbart-python-en_XX"
							UpperCAmelCase__			:		int             =       [
							    "def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])",
							    "def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])",
							]
							UpperCAmelCase__			:		Optional[int]             =       [
							    "Returns the maximum value of a b c.",
							    "Sums the values of a b c.",
							]
							UpperCAmelCase__			:		Optional[int]             =       [
							    134,
							    5452,
							    33460,
							    33441,
							    33463,
							    33465,
							    33463,
							    33449,
							    988,
							    20,
							    33456,
							    19,
							    33456,
							    771,
							    39,
							    4258,
							    889,
							    3318,
							    33441,
							    33463,
							    33465,
							    33463,
							    33449,
							    2471,
							    2,
							    PYTHON_CODE,
							]


							@classmethod
							def 							__lowercase							(     cls			)       ->       Any:
												_a      :       PLBartTokenizer   =						PLBartTokenizer.from_pretrained(
												    cls.checkpoint_name			,				language_codes='''base'''			,				src_lang='''python'''			,				tgt_lang='''en_XX'''			)
												_a      :       Optional[int]   =						1
												return cls


							def 							__lowercase							(     self			)       ->       int:
												self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''__java__''']			,				5_0_0_0_1			)
												self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''__python__''']			,				5_0_0_0_2			)
												self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''__en_XX__''']			,				5_0_0_0_3			)


							def 							__lowercase							(     self			)       ->       Dict:
												_a      :       Tuple   =						self.tokenizer.batch_encode_plus(self.src_text			).input_ids[0]
												self.assertListEqual(self.expected_src_tokens			,				_a			)


							def 							__lowercase							(     self			)       ->       List[Any]:
												self.assertIn(_a			,				self.tokenizer.all_special_ids			)
												_a      :       Union[str, Any]   =						[EN_CODE, 9_0_3_7, 3_3_4_4_2, 5_7, 7_5_2, 1_5_3, 1_4, 5_6, 1_8, 9, 2]
												_a      :       Tuple   =						self.tokenizer.decode(_a			,				skip_special_tokens=_a			)
												_a      :       List[Any]   =						self.tokenizer.decode(generated_ids[1:]			,				skip_special_tokens=_a			)
												self.assertEqual(_a			,				_a			)
												self.assertNotIn(self.tokenizer.eos_token			,				_a			)


							def 							__lowercase							(     self			)       ->       Optional[Any]:
												_a      :       Dict   =						['''def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])''' * 2_0]
												self.assertIsInstance(src_text[0]			,				_a			)
												_a      :       Optional[Any]   =						1_0
												_a      :       List[str]   =						self.tokenizer(_a			,				max_length=_a			,				truncation=_a			).input_ids[0]
												self.assertEqual(ids[-2]			,				2			)
												self.assertEqual(ids[-1]			,				_a			)
												self.assertEqual(len(_a			)			,				_a			)


							def 							__lowercase							(     self			)       ->       Optional[int]:
												self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''__java__''']			)			,				[5_0_0_0_4, 5_0_0_0_1]			)


							def 							__lowercase							(     self			)       ->       Dict:
												_a      :       int   =						tempfile.mkdtemp()
												_a      :       Dict   =						self.tokenizer.fairseq_tokens_to_ids
												self.tokenizer.save_pretrained(_a			)
												_a      :       Tuple   =						PLBartTokenizer.from_pretrained(_a			)
												self.assertDictEqual(new_tok.fairseq_tokens_to_ids			,				_a			)


							@require_torch
							def 							__lowercase							(     self			)       ->       List[str]:
												_a      :       Tuple   =						self.tokenizer(self.src_text			,				text_target=self.tgt_text			,				padding=_a			,				return_tensors='''pt'''			)
												_a      :       Tuple   =						shift_tokens_right(batch['''labels''']			,				self.tokenizer.pad_token_id			)

												# fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
												self.assertEqual(batch.input_ids[1][-2:].tolist()			,				[2, PYTHON_CODE]			)
												self.assertEqual(batch.decoder_input_ids[1][0]			,				_a			)
												self.assertEqual(batch.decoder_input_ids[1][-1]			,				2			)
												self.assertEqual(batch.labels[1][-2:].tolist()			,				[2, EN_CODE]			)


							@require_torch
							def 							__lowercase							(     self			)       ->       int:
												_a      :       Tuple   =						self.tokenizer(
												    self.src_text			,				text_target=self.tgt_text			,				padding=_a			,				truncation=_a			,				max_length=len(self.expected_src_tokens			)			,				return_tensors='''pt'''			,				)
												_a      :       str   =						shift_tokens_right(batch['''labels''']			,				self.tokenizer.pad_token_id			)

												self.assertIsInstance(_a			,				_a			)

												self.assertEqual((2, 2_6)			,				batch.input_ids.shape			)
												self.assertEqual((2, 2_6)			,				batch.attention_mask.shape			)
												_a      :       Optional[int]   =						batch.input_ids.tolist()[0]
												self.assertListEqual(self.expected_src_tokens			,				_a			)
												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, PYTHON_CODE]			)


							def 							__lowercase							(     self			)       ->       Optional[Any]:
												_a      :       List[str]   =						self.tokenizer(self.src_text			,				padding=_a			,				truncation=_a			,				max_length=3			,				return_tensors='''pt'''			)
												_a      :       str   =						self.tokenizer(
												    text_target=self.tgt_text			,				padding=_a			,				truncation=_a			,				max_length=1_0			,				return_tensors='''pt'''			)
												_a      :       Optional[Any]   =						targets['''input_ids''']
												_a      :       str   =						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]			,				1_0			)




							@require_torch
							def 							__lowercase							(     self			)       ->       List[Any]:
												_a      :       Optional[Any]   =						self.tokenizer._build_translation_inputs(
												    '''A test'''			,				return_tensors='''pt'''			,				src_lang='''en_XX'''			,				tgt_lang='''java'''			)

												self.assertEqual(
												    nested_simplify(_a			)			,				{
												        # A, test, EOS, en_XX
												        '''input_ids''': [[1_5_0, 2_4_2, 2, 5_0_0_0_3]],
												        '''attention_mask''': [[1, 1, 1, 1]],
												        # java
												        '''forced_bos_token_id''': 5_0_0_0_1,
												    }			,				)






a__												=						'''Input must be a string of 8 numbers plus letter'''
a__												=						'''TRWAGMYFPDXBNJZSQVHLCKE'''



def   __UpperCAmelCase					(      __a :     str      )     ->	bool:

					"""simple docstring"""

					if not isinstance(__a						,__a      ):
										_a      :       List[str]   =						F"""Expected string as input, found {type(__a      ).__name__}"""
										raise TypeError(__a      )

					_a      :       List[Any]   =						spanish_id.replace('''-'''						,''''''      ).upper()
					if len(__a      ) != 9:
										raise ValueError(__a      )

					try:
										_a      :       Any   =						int(spanish_id_clean[0:8]      )
										_a      :       str   =						spanish_id_clean[8]
					except ValueError as ex:
										raise ValueError(__a      ) from ex

					if letter.isdigit():
										raise ValueError(__a      )

					return letter == LOOKUP_LETTERS[number % 23]


if __name__ == "__main__":
			import doctest

			doctest.testmod()



