



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


__snake_case		:Any   	=  get_tests_dir('''fixtures/test_sentencepiece.model''')


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

__snake_case		:Tuple   	=  5_0003
__snake_case		:int   	=  5_0002

@require_sentencepiece
@require_tokenizers
class 					_A (			__UpperCAmelCase   ,unittest.TestCase					):
       UpperCamelCase__						:					List[str]		      =		PLBartTokenizer
       UpperCamelCase__						:					Tuple		      =		None
       UpperCamelCase__						:					List[Any]		      =		False



       def 	_lowerCamelCase    (	self							:  str):


           '''simple docstring'''

           super().setUp()

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



       def 	_lowerCamelCase    (	self							:  Any):


           '''simple docstring'''

           __a		 =       PLBartTokenizer(__SCREAMING_SNAKE_CASE  ,	language_codes='''base'''  ,	keep_accents=__SCREAMING_SNAKE_CASE)

           __a		 =       tokenizer.tokenize('''This is a test''')
           self.assertListEqual(__SCREAMING_SNAKE_CASE  ,	['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est'''])

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

           __a		 =       tokenizer.tokenize('''I was born in 92000, and this is falsé.''')
           self.assertListEqual(
               __SCREAMING_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''',
                   '''.''',
               ]  ,	)
           __a		 =       tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE)
           self.assertListEqual(
               __SCREAMING_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]
               ]  ,	)

           __a		 =       tokenizer.convert_ids_to_tokens(__SCREAMING_SNAKE_CASE)
           self.assertListEqual(
               __SCREAMING_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>''',
                   '''.''',
               ]  ,	)

           __a		 =       tokenizer.vocab_size
           __a		 =       [tokenizer.convert_ids_to_tokens(__SCREAMING_SNAKE_CASE) for x in range(end - 4  ,	__SCREAMING_SNAKE_CASE)]

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

           __a		 =       '''java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'''
           __a		 =       tokenizer(__SCREAMING_SNAKE_CASE).input_ids
           self.assertEqual(
               tokenizer.decode(__SCREAMING_SNAKE_CASE  ,	skip_special_tokens=__SCREAMING_SNAKE_CASE  ,	clean_up_tokenization_spaces=__SCREAMING_SNAKE_CASE)  ,	__SCREAMING_SNAKE_CASE  ,	)





       def 	_lowerCamelCase    (	self							:  int):


           '''simple docstring'''

           __a		 =       PLBartTokenizer(__SCREAMING_SNAKE_CASE  ,	language_codes='''multi'''  ,	keep_accents=__SCREAMING_SNAKE_CASE)

           __a		 =       tokenizer.tokenize('''This is a test''')
           self.assertListEqual(__SCREAMING_SNAKE_CASE  ,	['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est'''])

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

           __a		 =       tokenizer.tokenize('''I was born in 92000, and this is falsé.''')
           self.assertListEqual(
               __SCREAMING_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''',
                   '''.''',
               ]  ,	)
           __a		 =       tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE)
           self.assertListEqual(
               __SCREAMING_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]
               ]  ,	)

           __a		 =       tokenizer.convert_ids_to_tokens(__SCREAMING_SNAKE_CASE)
           self.assertListEqual(
               __SCREAMING_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>''',
                   '''.''',
               ]  ,	)
           __a		 =       tokenizer.vocab_size
           __a		 =       [tokenizer.convert_ids_to_tokens(__SCREAMING_SNAKE_CASE) for x in range(end - 7  ,	__SCREAMING_SNAKE_CASE)]

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


@require_torch
@require_sentencepiece
@require_tokenizers
class 					_A (			unittest.TestCase					):
       UpperCamelCase__						:					Union[str, Any]		      =		'''uclanlp/plbart-python-en_XX'''
       UpperCamelCase__						:					Optional[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__						:					Any		      =		[
           '''Returns the maximum value of a b c.''',
           '''Sums the values of a b c.''',
       ]
       UpperCamelCase__						:					Any		      =		[
           134,
           5_452,
           33_460,
           33_441,
           33_463,
           33_465,
           33_463,
           33_449,
           988,
           20,
           33_456,
           19,
           33_456,
           771,
           39,
           4_258,
           889,
           3_318,
           33_441,
           33_463,
           33_465,
           33_463,
           33_449,
           2_471,
           2,
           PYTHON_CODE,
       ]



       @classmethod
       def 	_lowerCamelCase    (	cls							:  str):


           '''simple docstring'''

           __a		 =       PLBartTokenizer.from_pretrained(
               cls.checkpoint_name  ,	language_codes='''base'''  ,	src_lang='''python'''  ,	tgt_lang='''en_XX''')
           __a		 =       1
           return cls



       def 	_lowerCamelCase    (	self							:  int):


           '''simple docstring'''

           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''__java__''']  ,	50_001)
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''__python__''']  ,	50_002)
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''__en_XX__''']  ,	50_003)



       def 	_lowerCamelCase    (	self							:  Tuple):


           '''simple docstring'''

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



       def 	_lowerCamelCase    (	self							:  Any):


           '''simple docstring'''

           self.assertIn(__SCREAMING_SNAKE_CASE  ,	self.tokenizer.all_special_ids)
           __a		 =       [EN_CODE, 9_037, 33_442, 57, 752, 153, 14, 56, 18, 9, 2]
           __a		 =       self.tokenizer.decode(__SCREAMING_SNAKE_CASE  ,	skip_special_tokens=__SCREAMING_SNAKE_CASE)
           __a		 =       self.tokenizer.decode(generated_ids[1:]  ,	skip_special_tokens=__SCREAMING_SNAKE_CASE)
           self.assertEqual(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE)
           self.assertNotIn(self.tokenizer.eos_token  ,	__SCREAMING_SNAKE_CASE)



       def 	_lowerCamelCase    (	self							:  Dict):


           '''simple docstring'''

           __a		 =       ['''def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])''' * 20]
           self.assertIsInstance(src_text[0]  ,	__SCREAMING_SNAKE_CASE)
           __a		 =       10
           __a		 =       self.tokenizer(__SCREAMING_SNAKE_CASE  ,	max_length=__SCREAMING_SNAKE_CASE  ,	truncation=__SCREAMING_SNAKE_CASE).input_ids[0]
           self.assertEqual(ids[-2]  ,	2)
           self.assertEqual(ids[-1]  ,	__SCREAMING_SNAKE_CASE)
           self.assertEqual(len(__SCREAMING_SNAKE_CASE)  ,	__SCREAMING_SNAKE_CASE)



       def 	_lowerCamelCase    (	self							:  Tuple):


           '''simple docstring'''

           self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''__java__'''])  ,	[50_004, 50_001])



       def 	_lowerCamelCase    (	self							:  Optional[Any]):


           '''simple docstring'''

           __a		 =       tempfile.mkdtemp()
           __a		 =       self.tokenizer.fairseq_tokens_to_ids
           self.tokenizer.save_pretrained(__SCREAMING_SNAKE_CASE)
           __a		 =       PLBartTokenizer.from_pretrained(__SCREAMING_SNAKE_CASE)
           self.assertDictEqual(new_tok.fairseq_tokens_to_ids  ,	__SCREAMING_SNAKE_CASE)



       @require_torch
       def 	_lowerCamelCase    (	self							:  int):


           '''simple docstring'''

           __a		 =       self.tokenizer(self.src_text  ,	text_target=self.tgt_text  ,	padding=__SCREAMING_SNAKE_CASE  ,	return_tensors='''pt''')
           __a		 =       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]  ,	__SCREAMING_SNAKE_CASE)
           self.assertEqual(batch.decoder_input_ids[1][-1]  ,	2)
           self.assertEqual(batch.labels[1][-2:].tolist()  ,	[2, EN_CODE])



       @require_torch
       def 	_lowerCamelCase    (	self							:  int):


           '''simple docstring'''

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

           self.assertIsInstance(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE)

           self.assertEqual((2, 26)  ,	batch.input_ids.shape)
           self.assertEqual((2, 26)  ,	batch.attention_mask.shape)
           __a		 =       batch.input_ids.tolist()[0]
           self.assertListEqual(self.expected_src_tokens  ,	__SCREAMING_SNAKE_CASE)
           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 	_lowerCamelCase    (	self							:  str):


           '''simple docstring'''

           __a		 =       self.tokenizer(self.src_text  ,	padding=__SCREAMING_SNAKE_CASE  ,	truncation=__SCREAMING_SNAKE_CASE  ,	max_length=3  ,	return_tensors='''pt''')
           __a		 =       self.tokenizer(
               text_target=self.tgt_text  ,	padding=__SCREAMING_SNAKE_CASE  ,	truncation=__SCREAMING_SNAKE_CASE  ,	max_length=10  ,	return_tensors='''pt''')
           __a		 =       targets['''input_ids''']
           __a		 =       shift_tokens_right(__SCREAMING_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 	_lowerCamelCase    (	self							:  List[Any]):


           '''simple docstring'''

           __a		 =       self.tokenizer._build_translation_inputs(
               '''A test'''  ,	return_tensors='''pt'''  ,	src_lang='''en_XX'''  ,	tgt_lang='''java''')

           self.assertEqual(
               nested_simplify(__SCREAMING_SNAKE_CASE)  ,	{
                   # A, test, EOS, en_XX
                   '''input_ids''': [[150, 242, 2, 50_003]],
                   '''attention_mask''': [[1, 1, 1, 1]],
                   # java
                   '''forced_bos_token_id''': 50_001,
               }  ,	)










def   __snake_case			(    _UpperCAmelCase     ,				_UpperCAmelCase = False       ):

    if not isinstance(_UpperCAmelCase     ,				_UpperCAmelCase       ):
        __a		 =       f'Expected string as input, found {type(_UpperCAmelCase       )}'
        raise ValueError(_UpperCAmelCase       )
    if not isinstance(_UpperCAmelCase     ,				_UpperCAmelCase       ):
        __a		 =       f'Expected boolean as use_pascal parameter, found {type(_UpperCAmelCase       )}'
        raise ValueError(_UpperCAmelCase       )

    __a		 =       input_str.split('''_'''       )

    __a		 =       0 if use_pascal else 1

    __a		 =       words[start_index:]

    __a		 =       [word[0].upper() + word[1:] for word in words_to_capitalize]

    __a		 =       '''''' if use_pascal else words[0]

    return "".join([initial_word, *capitalized_words]       )


if __name__ == "__main__":
 from doctest import testmod

 testmod()





