


'''simple docstring'''
import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class    lowercase	(							A__	,		unittest.TestCase					):

		"""simple docstring"""

		_a     =				LongformerTokenizer
		_a     =				True
		_a     =				LongformerTokenizerFast
		_a     =				True




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							UpperCamelCase__   :Any												= [
							    '''l''',
							    '''o''',
							    '''w''',
							    '''e''',
							    '''r''',
							    '''s''',
							    '''t''',
							    '''i''',
							    '''d''',
							    '''n''',
							    '''\u0120''',
							    '''\u0120l''',
							    '''\u0120n''',
							    '''\u0120lo''',
							    '''\u0120low''',
							    '''er''',
							    '''\u0120lowest''',
							    '''\u0120newer''',
							    '''\u0120wider''',
							    '''<unk>''',
							]
							UpperCamelCase__   :Optional[int]												= dict(zip(UpperCamelCase_    ,   range(len(UpperCamelCase_							)							)							)							)
							UpperCamelCase__   :int												= ['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
							UpperCamelCase__   :Any												= {'''unk_token''': '''<unk>'''}

							UpperCamelCase__   :Union[str, Any]												= os.path.join(self.tmpdirname    ,   VOCAB_FILES_NAMES['''vocab_file''']							)
							UpperCamelCase__   :List[str]												= os.path.join(self.tmpdirname    ,   VOCAB_FILES_NAMES['''merges_file''']							)
							with open(self.vocab_file    ,   '''w'''    ,   encoding='''utf-8'''							) as fp:
												fp.write(json.dumps(UpperCamelCase_							) + '''\n'''							)
							with open(self.merges_file    ,   '''w'''    ,   encoding='''utf-8'''							) as fp:
												fp.write('''\n'''.join(UpperCamelCase_							)							)




		def     lowerCAmelCase__				(		self    ,   **UpperCamelCase_							):

							'''simple docstring'''


							kwargs.update(self.special_tokens_map							)
							return self.tokenizer_class.from_pretrained(self.tmpdirname    ,   **UpperCamelCase_							)




		def     lowerCAmelCase__				(		self    ,   **UpperCamelCase_							):

							'''simple docstring'''


							kwargs.update(self.special_tokens_map							)
							return self.rust_tokenizer_class.from_pretrained(self.tmpdirname    ,   **UpperCamelCase_							)




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__   :Optional[int]												= '''lower newer'''
							UpperCamelCase__   :List[str]												= '''lower newer'''
							return input_text, output_text




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :Optional[Any]												= self.tokenizer_class(self.vocab_file    ,   self.merges_file    ,   **self.special_tokens_map							)
							UpperCamelCase__   :List[str]												= '''lower newer'''
							UpperCamelCase__   :Tuple												= ['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
							UpperCamelCase__   :str												= tokenizer.tokenize(UpperCamelCase_							)  # , add_prefix_space=True)
							self.assertListEqual(UpperCamelCase_    ,   UpperCamelCase_							)

							UpperCamelCase__   :int												= tokens + [tokenizer.unk_token]
							UpperCamelCase__   :Optional[int]												= [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase_							)    ,   UpperCamelCase_							)




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :Optional[Any]												= self.get_tokenizer()

							self.assertListEqual(tokenizer.encode('''Hello world!'''    ,   add_special_tokens=UpperCamelCase_							)    ,   [0, 31414, 232, 328, 2]							)
							self.assertListEqual(
							    tokenizer.encode('''Hello world! cécé herlolip 418'''    ,   add_special_tokens=UpperCamelCase_							)    ,   [0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]    ,   )




		@slow
		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :Union[str, Any]												= self.tokenizer_class.from_pretrained('''allenai/longformer-base-4096'''							)

							UpperCamelCase__   :Any												= tokenizer.encode('''sequence builders'''    ,   add_special_tokens=UpperCamelCase_							)
							UpperCamelCase__   :Optional[int]												= tokenizer.encode('''multi-sequence build'''    ,   add_special_tokens=UpperCamelCase_							)

							UpperCamelCase__   :Optional[int]												= tokenizer.encode(
							    '''sequence builders'''    ,   add_special_tokens=UpperCamelCase_    ,   add_prefix_space=UpperCamelCase_							)
							UpperCamelCase__   :Tuple												= tokenizer.encode(
							    '''sequence builders'''    ,   '''multi-sequence build'''    ,   add_special_tokens=UpperCamelCase_    ,   add_prefix_space=UpperCamelCase_							)

							UpperCamelCase__   :Union[str, Any]												= tokenizer.build_inputs_with_special_tokens(UpperCamelCase_							)
							UpperCamelCase__   :Optional[int]												= tokenizer.build_inputs_with_special_tokens(UpperCamelCase_    ,   UpperCamelCase_							)

							assert encoded_sentence == encoded_text_from_decode
							assert encoded_pair == encoded_pair_from_decode




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :Union[str, Any]												= self.get_tokenizer()

							UpperCamelCase__   :List[str]												= '''Encode this sequence.'''
							UpperCamelCase__   :Any												= tokenizer.byte_encoder[''' '''.encode('''utf-8'''							)[0]]

							# Testing encoder arguments
							UpperCamelCase__   :Optional[int]												= tokenizer.encode(UpperCamelCase_    ,   add_special_tokens=UpperCamelCase_    ,   add_prefix_space=UpperCamelCase_							)
							UpperCamelCase__   :List[str]												= tokenizer.convert_ids_to_tokens(encoded[0]							)[0]
							self.assertNotEqual(UpperCamelCase_    ,   UpperCamelCase_							)

							UpperCamelCase__   :List[Any]												= tokenizer.encode(UpperCamelCase_    ,   add_special_tokens=UpperCamelCase_    ,   add_prefix_space=UpperCamelCase_							)
							UpperCamelCase__   :Optional[Any]												= tokenizer.convert_ids_to_tokens(encoded[0]							)[0]
							self.assertEqual(UpperCamelCase_    ,   UpperCamelCase_							)

							tokenizer.add_special_tokens({'''bos_token''': '''<s>'''}							)
							UpperCamelCase__   :Any												= tokenizer.encode(UpperCamelCase_    ,   add_special_tokens=UpperCamelCase_							)
							UpperCamelCase__   :Any												= tokenizer.convert_ids_to_tokens(encoded[1]							)[0]
							self.assertNotEqual(UpperCamelCase_    ,   UpperCamelCase_							)

							# Testing spaces after special tokens
							UpperCamelCase__   :Any												= '''<mask>'''
							tokenizer.add_special_tokens(
							    {'''mask_token''': AddedToken(UpperCamelCase_    ,   lstrip=UpperCamelCase_    ,   rstrip=UpperCamelCase_							)}							)  # mask token has a left space
							UpperCamelCase__   :Optional[Any]												= tokenizer.convert_tokens_to_ids(UpperCamelCase_							)

							UpperCamelCase__   :int												= '''Encode <mask> sequence'''
							UpperCamelCase__   :Tuple												= '''Encode <mask>sequence'''

							UpperCamelCase__   :List[Any]												= tokenizer.encode(UpperCamelCase_							)
							UpperCamelCase__   :List[str]												= encoded.index(UpperCamelCase_							)
							UpperCamelCase__   :int												= tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]							)[0]
							self.assertEqual(UpperCamelCase_    ,   UpperCamelCase_							)

							UpperCamelCase__   :Union[str, Any]												= tokenizer.encode(UpperCamelCase_							)
							UpperCamelCase__   :Dict												= encoded.index(UpperCamelCase_							)
							UpperCamelCase__   :Optional[Any]												= tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]							)[0]
							self.assertNotEqual(UpperCamelCase_    ,   UpperCamelCase_							)




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							pass




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
												with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''							):
																	UpperCamelCase__   :Union[str, Any]												= self.rust_tokenizer_class.from_pretrained(UpperCamelCase_    ,   **UpperCamelCase_							)
																	UpperCamelCase__   :List[str]												= self.tokenizer_class.from_pretrained(UpperCamelCase_    ,   **UpperCamelCase_							)
																	UpperCamelCase__   :List[Any]												= '''A, <mask> AllenNLP sentence.'''
																	UpperCamelCase__   :Union[str, Any]												= tokenizer_r.encode_plus(UpperCamelCase_    ,   add_special_tokens=UpperCamelCase_    ,   return_token_type_ids=UpperCamelCase_							)
																	UpperCamelCase__   :Tuple												= tokenizer_p.encode_plus(UpperCamelCase_    ,   add_special_tokens=UpperCamelCase_    ,   return_token_type_ids=UpperCamelCase_							)

																	# token_type_ids should put 0 everywhere
																	self.assertEqual(sum(tokens_r['''token_type_ids''']							)    ,   sum(tokens_p['''token_type_ids''']							)							)

																	# attention_mask should put 1 everywhere, so sum over length should be 1
																	self.assertEqual(
																	    sum(tokens_r['''attention_mask''']							) / len(tokens_r['''attention_mask''']							)    ,   sum(tokens_p['''attention_mask''']							) / len(tokens_p['''attention_mask''']							)    ,   )

																	UpperCamelCase__   :Optional[int]												= tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']							)
																	UpperCamelCase__   :Any												= tokenizer_p.convert_ids_to_tokens(tokens_p['''input_ids''']							)

																	# Rust correctly handles the space before the mask while python doesnt
																	self.assertSequenceEqual(tokens_p['''input_ids''']    ,   [0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]							)
																	self.assertSequenceEqual(tokens_r['''input_ids''']    ,   [0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]							)

																	self.assertSequenceEqual(
																	    UpperCamelCase_    ,   ['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']							)
																	self.assertSequenceEqual(
																	    UpperCamelCase_    ,   ['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']							)




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							for trim_offsets, add_prefix_space in itertools.product([True, False]    ,   repeat=2							):
												UpperCamelCase__   :Optional[int]												= self.rust_tokenizer_class.from_pretrained(
												    self.tmpdirname    ,   use_fast=UpperCamelCase_    ,   add_prefix_space=UpperCamelCase_    ,   trim_offsets=UpperCamelCase_							)

												UpperCamelCase__   :List[Any]												= json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()							)
												UpperCamelCase__   :List[Any]												= json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()							)

												self.assertEqual(pre_tokenizer_state['''add_prefix_space''']    ,   UpperCamelCase_							)

												self.assertEqual(post_processor_state['''add_prefix_space''']    ,   UpperCamelCase_							)
												self.assertEqual(post_processor_state['''trim_offsets''']    ,   UpperCamelCase_							)




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
												with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''							):
																	UpperCamelCase__   :Tuple												= '''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
																	UpperCamelCase__   :str												= F'''{text_of_1_token} {text_of_1_token}'''

																	UpperCamelCase__   :str												= self.rust_tokenizer_class.from_pretrained(
																	    UpperCamelCase_    ,   use_fast=UpperCamelCase_    ,   add_prefix_space=UpperCamelCase_    ,   trim_offsets=UpperCamelCase_							)
																	UpperCamelCase__   :Optional[int]												= tokenizer_r(UpperCamelCase_    ,   return_offsets_mapping=UpperCamelCase_    ,   add_special_tokens=UpperCamelCase_							)
																	self.assertEqual(encoding.offset_mapping[0]    ,   (0, len(UpperCamelCase_							))							)
																	self.assertEqual(
																	    encoding.offset_mapping[1]    ,   (len(UpperCamelCase_							) + 1, len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))    ,   )

																	UpperCamelCase__   :Optional[int]												= self.rust_tokenizer_class.from_pretrained(
																	    UpperCamelCase_    ,   use_fast=UpperCamelCase_    ,   add_prefix_space=UpperCamelCase_    ,   trim_offsets=UpperCamelCase_							)
																	UpperCamelCase__   :List[Any]												= tokenizer_r(UpperCamelCase_    ,   return_offsets_mapping=UpperCamelCase_    ,   add_special_tokens=UpperCamelCase_							)
																	self.assertEqual(encoding.offset_mapping[0]    ,   (0, len(UpperCamelCase_							))							)
																	self.assertEqual(
																	    encoding.offset_mapping[1]    ,   (len(UpperCamelCase_							) + 1, len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))    ,   )

																	UpperCamelCase__   :Optional[int]												= self.rust_tokenizer_class.from_pretrained(
																	    UpperCamelCase_    ,   use_fast=UpperCamelCase_    ,   add_prefix_space=UpperCamelCase_    ,   trim_offsets=UpperCamelCase_							)
																	UpperCamelCase__   :Optional[Any]												= tokenizer_r(UpperCamelCase_    ,   return_offsets_mapping=UpperCamelCase_    ,   add_special_tokens=UpperCamelCase_							)
																	self.assertEqual(encoding.offset_mapping[0]    ,   (0, len(UpperCamelCase_							))							)
																	self.assertEqual(
																	    encoding.offset_mapping[1]    ,   (len(UpperCamelCase_							), len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))    ,   )

																	UpperCamelCase__   :List[str]												= self.rust_tokenizer_class.from_pretrained(
																	    UpperCamelCase_    ,   use_fast=UpperCamelCase_    ,   add_prefix_space=UpperCamelCase_    ,   trim_offsets=UpperCamelCase_							)
																	UpperCamelCase__   :int												= tokenizer_r(UpperCamelCase_    ,   return_offsets_mapping=UpperCamelCase_    ,   add_special_tokens=UpperCamelCase_							)
																	self.assertEqual(encoding.offset_mapping[0]    ,   (0, len(UpperCamelCase_							))							)
																	self.assertEqual(
																	    encoding.offset_mapping[1]    ,   (len(UpperCamelCase_							), len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))    ,   )

																	UpperCamelCase__   :str												= F''' {text}'''

																	# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
																	#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
																	# )
																	# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
																	# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
																	# self.assertEqual(
																	#     encoding.offset_mapping[1],
																	#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
																	# )

																	UpperCamelCase__   :Union[str, Any]												= self.rust_tokenizer_class.from_pretrained(
																	    UpperCamelCase_    ,   use_fast=UpperCamelCase_    ,   add_prefix_space=UpperCamelCase_    ,   trim_offsets=UpperCamelCase_							)
																	UpperCamelCase__   :Union[str, Any]												= tokenizer_r(UpperCamelCase_    ,   return_offsets_mapping=UpperCamelCase_    ,   add_special_tokens=UpperCamelCase_							)
																	self.assertEqual(encoding.offset_mapping[0]    ,   (1, 1 + len(UpperCamelCase_							))							)
																	self.assertEqual(
																	    encoding.offset_mapping[1]    ,   (1 + len(UpperCamelCase_							) + 1, 1 + len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))    ,   )

																	UpperCamelCase__   :Union[str, Any]												= self.rust_tokenizer_class.from_pretrained(
																	    UpperCamelCase_    ,   use_fast=UpperCamelCase_    ,   add_prefix_space=UpperCamelCase_    ,   trim_offsets=UpperCamelCase_							)
																	UpperCamelCase__   :Optional[int]												= tokenizer_r(UpperCamelCase_    ,   return_offsets_mapping=UpperCamelCase_    ,   add_special_tokens=UpperCamelCase_							)
																	self.assertEqual(encoding.offset_mapping[0]    ,   (0, 1 + len(UpperCamelCase_							))							)
																	self.assertEqual(
																	    encoding.offset_mapping[1]    ,   (1 + len(UpperCamelCase_							), 1 + len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))    ,   )

																	UpperCamelCase__   :Any												= self.rust_tokenizer_class.from_pretrained(
																	    UpperCamelCase_    ,   use_fast=UpperCamelCase_    ,   add_prefix_space=UpperCamelCase_    ,   trim_offsets=UpperCamelCase_							)
																	UpperCamelCase__   :Optional[int]												= tokenizer_r(UpperCamelCase_    ,   return_offsets_mapping=UpperCamelCase_    ,   add_special_tokens=UpperCamelCase_							)
																	self.assertEqual(encoding.offset_mapping[0]    ,   (0, 1 + len(UpperCamelCase_							))							)
																	self.assertEqual(
																	    encoding.offset_mapping[1]    ,   (1 + len(UpperCamelCase_							), 1 + len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))    ,   )



'''simple docstring'''
from datetime import datetime as dt
import os

from github import Github


__snake_case							      =     [
    '''good first issue''',
    '''good second issue''',
    '''good difficult issue''',
    '''feature request''',
    '''new model''',
    '''wip''',
]


def 			a      (			)  ->	List[str]:



					'''simple docstring'''






					UpperCamelCase__   :List[str]												= Github(os.environ['''GITHUB_TOKEN''']   )
					UpperCamelCase__   :Tuple												= g.get_repo('''huggingface/transformers'''   )
					UpperCamelCase__   :Union[str, Any]												= repo.get_issues(state='''open'''   )

					for issue in open_issues:
										UpperCamelCase__   :List[Any]												= sorted([comment for comment in issue.get_comments()] ,					key=lambda __a   : i.created_at ,					reverse=__a   )
										UpperCamelCase__   :List[Any]												= comments[0] if len(__a   ) > 0 else None
										if (
										    last_comment is not None
										    and last_comment.user.login == "github-actions[bot]"
										    and (dt.utcnow() - issue.updated_at).days > 7
										    and (dt.utcnow() - issue.created_at).days >= 30
										    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()   )
										):
															# print(f"Would close issue {issue.number} since it has been 7 days of inactivity since bot mention.")
															issue.edit(state='''closed'''   )
										elif (
										    (dt.utcnow() - issue.updated_at).days > 23
										    and (dt.utcnow() - issue.created_at).days >= 30
										    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()   )
										):
															# print(f"Would add stale comment to {issue.number}")
															issue.create_comment(
															    '''This issue has been automatically marked as stale because it has not had '''
															    '''recent activity. If you think this still needs to be addressed '''
															    '''please comment on this thread.\n\nPlease note that issues that do not follow the '''
															    '''[contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) '''
															    '''are likely to be ignored.'''   )


if __name__ == "__main__":
		main()