

import unittest

from transformers import PegasusTokenizer, PegasusTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


_UpperCAmelCase		:       List[str]						    =	get_tests_dir("""fixtures/test_sentencepiece_no_bos.model""")







@require_sentencepiece
@require_tokenizers
class 			lowercase    (	_UpperCamelCase     ,  unittest.TestCase      ):
				__SCREAMING_SNAKE_CASE :			Union[str, Any]	      =      PegasusTokenizer
				__SCREAMING_SNAKE_CASE :			List[Any]	      =      PegasusTokenizerFast
				__SCREAMING_SNAKE_CASE :			Union[str, Any]	      =      True
				__SCREAMING_SNAKE_CASE :			int	      =      True




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

											# We have a SentencePiece fixture for testing
											snake_case_          =   PegasusTokenizer(_SCREAMING_SNAKE_CASE	)
											tokenizer.save_pretrained(self.tmpdirname	)




				@cached_property
				def    a							( self	):
											return PegasusTokenizer.from_pretrained('google/pegasus-large'	)




				def    a							( self				,       **snake_case	):
											return PegasusTokenizer.from_pretrained(self.tmpdirname				,       **_SCREAMING_SNAKE_CASE	)




				def    a							( self				,       snake_case	):
											return ("This is a test", "This is a test")




				def    a							( self	):
											snake_case_          =   '</s>'
											snake_case_          =   1

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




				def    a							( self	):
											snake_case_          =   list(self.get_tokenizer().get_vocab().keys()	)

											self.assertEqual(vocab_keys[0]				,       '<pad>'	)
											self.assertEqual(vocab_keys[1]				,       '</s>'	)
											self.assertEqual(vocab_keys[-1]				,       'v'	)
											self.assertEqual(len(_SCREAMING_SNAKE_CASE	)				,       1103	)




				def    a							( self	):
											self.assertEqual(self.get_tokenizer().vocab_size				,       1103	)




				def    a							( self	):
											snake_case_          =   self.rust_tokenizer_class.from_pretrained(self.tmpdirname	)
											snake_case_          =   self.tokenizer_class.from_pretrained(self.tmpdirname	)
											snake_case_          =   (
											    'Let\'s see which <unk> is the better <unk_token_11> one <mask_1> It seems like this <mask_2> was important'
											    ' </s> <pad> <pad> <pad>'
											)
											snake_case_          =   rust_tokenizer([raw_input_str]				,       return_tensors=_SCREAMING_SNAKE_CASE				,       add_special_tokens=_SCREAMING_SNAKE_CASE	).input_ids[0]
											snake_case_          =   py_tokenizer([raw_input_str]				,       return_tensors=_SCREAMING_SNAKE_CASE				,       add_special_tokens=_SCREAMING_SNAKE_CASE	).input_ids[0]
											self.assertListEqual(_SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE	)




				def    a							( self	):
											snake_case_          =   self._large_tokenizer
											# <mask_1> masks whole sentence while <mask_2> masks single word
											snake_case_          =   '<mask_1> To ensure a <mask_2> flow of bank resolutions.'
											snake_case_          =   [2, 413, 615, 114, 3, 1971, 113, 1679, 1_0710, 107, 1]
											snake_case_          =   tokenizer([raw_input_str]				,       return_tensors=_SCREAMING_SNAKE_CASE	).input_ids[0]
											self.assertListEqual(_SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE	)




				def    a							( self	):
											snake_case_          =   self._large_tokenizer
											# The tracebacks for the following asserts are **better** without messages or self.assertEqual
											assert tokenizer.vocab_size == 9_6103
											assert tokenizer.pad_token_id == 0
											assert tokenizer.eos_token_id == 1
											assert tokenizer.offset == 103
											assert tokenizer.unk_token_id == tokenizer.offset + 2 == 105
											assert tokenizer.unk_token == "<unk>"
											assert tokenizer.model_max_length == 1024
											snake_case_          =   'To ensure a smooth flow of bank resolutions.'
											snake_case_          =   [413, 615, 114, 2291, 1971, 113, 1679, 1_0710, 107, 1]
											snake_case_          =   tokenizer([raw_input_str]				,       return_tensors=_SCREAMING_SNAKE_CASE	).input_ids[0]
											self.assertListEqual(_SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE	)
											assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]	) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]




				@require_torch
				def    a							( self	):
											snake_case_          =   ['This is going to be way too long.' * 150, 'short example']
											snake_case_          =   ['not super long but more than 5 tokens', 'tiny']
											snake_case_          =   self._large_tokenizer(_SCREAMING_SNAKE_CASE				,       padding=_SCREAMING_SNAKE_CASE				,       truncation=_SCREAMING_SNAKE_CASE				,       return_tensors='pt'	)
											snake_case_          =   self._large_tokenizer(
											    text_target=_SCREAMING_SNAKE_CASE				,       max_length=5				,       padding=_SCREAMING_SNAKE_CASE				,       truncation=_SCREAMING_SNAKE_CASE				,       return_tensors='pt'	)

											assert batch.input_ids.shape == (2, 1024)
											assert batch.attention_mask.shape == (2, 1024)
											assert targets["input_ids"].shape == (2, 5)
											assert len(_SCREAMING_SNAKE_CASE	) == 2  # input_ids, attention_mask.




				@slow
				def    a							( self	):
											# fmt: off
											snake_case_          =   {'input_ids': [[3_8979, 143, 1_8485, 606, 130, 2_6669, 8_7686, 121, 5_4189, 1129, 111, 2_6669, 8_7686, 121, 9114, 1_4787, 121, 1_3249, 158, 592, 956, 121, 1_4621, 3_1576, 143, 6_2613, 108, 9688, 930, 4_3430, 1_1562, 6_2613, 304, 108, 1_1443, 897, 108, 9314, 1_7415, 6_3399, 108, 1_1443, 7614, 1_8316, 118, 4284, 7148, 1_2430, 143, 1400, 2_5703, 158, 111, 4284, 7148, 1_1772, 143, 2_1297, 1064, 158, 122, 204, 3506, 1754, 1133, 1_4787, 1581, 115, 3_3224, 4482, 111, 1355, 110, 2_9173, 317, 5_0833, 108, 2_0147, 9_4665, 111, 7_7198, 107, 1], [110, 6_2613, 117, 638, 112, 1133, 121, 2_0098, 1355, 7_9050, 1_3872, 135, 1596, 5_3541, 1352, 141, 1_3039, 5542, 124, 302, 518, 111, 268, 2956, 115, 149, 4427, 107, 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], [139, 1235, 2799, 1_8289, 1_7780, 204, 109, 9474, 1296, 107, 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]], '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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=_SCREAMING_SNAKE_CASE				,       model_name='google/bigbird-pegasus-large-arxiv'				,       revision='ba85d0851d708441f91440d509690f1ab6353415'				,       )







@require_sentencepiece
@require_tokenizers
class 			lowercase    (	_UpperCamelCase     ,  unittest.TestCase      ):
				__SCREAMING_SNAKE_CASE :			int	      =      PegasusTokenizer
				__SCREAMING_SNAKE_CASE :			List[str]	      =      PegasusTokenizerFast
				__SCREAMING_SNAKE_CASE :			Dict	      =      True
				__SCREAMING_SNAKE_CASE :			Tuple	      =      True




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

											# We have a SentencePiece fixture for testing
											snake_case_          =   PegasusTokenizer(_SCREAMING_SNAKE_CASE				,       offset=0				,       mask_token_sent=_SCREAMING_SNAKE_CASE				,       mask_token='[MASK]'	)
											tokenizer.save_pretrained(self.tmpdirname	)




				@cached_property
				def    a							( self	):
											return PegasusTokenizer.from_pretrained('google/bigbird-pegasus-large-arxiv'	)




				def    a							( self				,       **snake_case	):
											return PegasusTokenizer.from_pretrained(self.tmpdirname				,       **_SCREAMING_SNAKE_CASE	)




				def    a							( self				,       snake_case	):
											return ("This is a test", "This is a test")




				def    a							( self	):
											snake_case_          =   self.rust_tokenizer_class.from_pretrained(self.tmpdirname	)
											snake_case_          =   self.tokenizer_class.from_pretrained(self.tmpdirname	)
											snake_case_          =   (
											    'Let\'s see which <unk> is the better <unk_token> one [MASK] It seems like this [MASK] was important </s>'
											    ' <pad> <pad> <pad>'
											)
											snake_case_          =   rust_tokenizer([raw_input_str]				,       return_tensors=_SCREAMING_SNAKE_CASE				,       add_special_tokens=_SCREAMING_SNAKE_CASE	).input_ids[0]
											snake_case_          =   py_tokenizer([raw_input_str]				,       return_tensors=_SCREAMING_SNAKE_CASE				,       add_special_tokens=_SCREAMING_SNAKE_CASE	).input_ids[0]
											self.assertListEqual(_SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE	)




				@require_torch
				def    a							( self	):
											snake_case_          =   ['This is going to be way too long.' * 1000, 'short example']
											snake_case_          =   ['not super long but more than 5 tokens', 'tiny']
											snake_case_          =   self._large_tokenizer(_SCREAMING_SNAKE_CASE				,       padding=_SCREAMING_SNAKE_CASE				,       truncation=_SCREAMING_SNAKE_CASE				,       return_tensors='pt'	)
											snake_case_          =   self._large_tokenizer(
											    text_target=_SCREAMING_SNAKE_CASE				,       max_length=5				,       padding=_SCREAMING_SNAKE_CASE				,       truncation=_SCREAMING_SNAKE_CASE				,       return_tensors='pt'	)

											assert batch.input_ids.shape == (2, 4096)
											assert batch.attention_mask.shape == (2, 4096)
											assert targets["input_ids"].shape == (2, 5)
											assert len(_SCREAMING_SNAKE_CASE	) == 2  # input_ids, attention_mask.




				def    a							( self	):
											snake_case_          =   (
											    'This is an example string that is used to test the original TF implementation against the HF'
											    ' implementation'
											)

											snake_case_          =   self._large_tokenizer(_SCREAMING_SNAKE_CASE	).input_ids

											self.assertListEqual(
											    _SCREAMING_SNAKE_CASE				,       [182, 117, 142, 587, 4211, 120, 117, 263, 112, 804, 109, 856, 2_5016, 3137, 464, 109, 2_6955, 3137, 1]				,       )







# Lint as: python3
import itertools
import os
import re


_UpperCAmelCase		:       str						    =	re.compile(R"""([A-Z]+)([A-Z][a-z])""")
_UpperCAmelCase		:       Dict						    =	re.compile(R"""([a-z\d])([A-Z])""")

_UpperCAmelCase		:       Dict						    =	re.compile(R"""(?<!_)_(?!_)""")
_UpperCAmelCase		:       Tuple						    =	re.compile(R"""(_{2,})""")

_UpperCAmelCase		:       Any						    =	R"""^\w+(\.\w+)*$"""

_UpperCAmelCase		:       List[str]						    =	R"""<>:/\|?*"""





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   _uppercase_uppercase_re.sub(r'\1_\2'       ,							UpperCamelCase__				)
							snake_case_          =   _lowercase_uppercase_re.sub(r'\1_\2'       ,							UpperCamelCase__				)
							return name.lower()





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   _single_underscore_re.split(UpperCamelCase__				)
							snake_case_          =   [_multiple_underscores_re.split(UpperCamelCase__				) for n in name]
							return "".join(n.capitalize() for n in itertools.chain.from_iterable(UpperCamelCase__				) if n != ''				)





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							if os.path.basename(UpperCamelCase__				) != name:
														raise ValueError(F'''Should be a dataset name, not a path: {name}'''				)
							return camelcase_to_snakecase(UpperCamelCase__				)





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__				):







							'''simple docstring'''






							if os.path.basename(UpperCamelCase__				) != name:
														raise ValueError(F'''Should be a dataset name, not a path: {name}'''				)
							if not re.match(_split_re       ,							UpperCamelCase__				):
														raise ValueError(F'''Split name should match \'{_split_re}\'\' but got \'{split}\'.'''				)
							return F'''{filename_prefix_for_name(UpperCamelCase__				)}-{split}'''





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__=None				):







							'''simple docstring'''






							snake_case_          =   filename_prefix_for_split(UpperCamelCase__       ,							UpperCamelCase__				)
							if filetype_suffix:
														prefix += F'''.{filetype_suffix}'''
							snake_case_          =   os.path.join(UpperCamelCase__       ,							UpperCamelCase__				)
							return F'''{filepath}*'''





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__=None       ,							UpperCamelCase__=None				):







							'''simple docstring'''






							snake_case_          =   filename_prefix_for_split(UpperCamelCase__       ,							UpperCamelCase__				)
							snake_case_          =   os.path.join(UpperCamelCase__       ,							UpperCamelCase__				)

							if shard_lengths:
														snake_case_          =   len(UpperCamelCase__				)
														snake_case_          =   [F'''{prefix}-{shard_id:05d}-of-{num_shards:05d}''' for shard_id in range(UpperCamelCase__				)]
														if filetype_suffix:
																					snake_case_          =   [filename + F'''.{filetype_suffix}''' for filename in filenames]
														return filenames
							else:
														snake_case_          =   prefix
														if filetype_suffix:
																					filename += F'''.{filetype_suffix}'''
														return [filename]




