



"""simple docstring"""






import os
import unittest

from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english



@require_tokenizers
class 			A__   (  lowerCAmelCase_  ,		unittest.TestCase							):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE          =	MobileBertTokenizer
	SCREAMING_SNAKE_CASE          =	MobileBertTokenizerFast
	SCREAMING_SNAKE_CASE          =	True
	SCREAMING_SNAKE_CASE          =	True
	SCREAMING_SNAKE_CASE          =	filter_non_english
	SCREAMING_SNAKE_CASE          =	"""google/mobilebert-uncased"""

	def 							_SCREAMING_SNAKE_CASE   (     self:		List[str])				->       Any:

				"""simple docstring"""

				super().setUp()

				__lowerCAmelCase      :  str												=       [
				    "[UNK]",
				    "[CLS]",
				    "[SEP]",
				    "[PAD]",
				    "[MASK]",
				    "want",
				    "##want",
				    "##ed",
				    "wa",
				    "un",
				    "runn",
				    "##ing",
				    ",",
				    "low",
				    "lowest",
				]
				__lowerCAmelCase      :  int												=       os.path.join(self.tmpdirname       ,			VOCAB_FILES_NAMES["vocab_file"])
				with open(self.vocab_file       ,			"w"       ,			encoding="utf-8") as vocab_writer:
							vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))

				__lowerCAmelCase      :  str												=       [
				    (tokenizer_def[0], self.pre_trained_model_path, tokenizer_def[2])  # else the 'google/' prefix is stripped
				    for tokenizer_def in self.tokenizers_list
				]

	def 							_SCREAMING_SNAKE_CASE   (     self:		Union[str, Any]       ,			_SCREAMING_SNAKE_CASE:		Any)				->       List[Any]:

				"""simple docstring"""

				__lowerCAmelCase      :  Optional[Any]												=       "UNwant\u00E9d,running"
				__lowerCAmelCase      :  Any												=       "unwanted, running"
				return input_text, output_text

	def 							_SCREAMING_SNAKE_CASE   (     self:		Union[str, Any])				->       Any:

				"""simple docstring"""

				__lowerCAmelCase      :  Optional[int]												=       self.tokenizer_class(self.vocab_file)

				__lowerCAmelCase      :  str												=       tokenizer.tokenize("UNwant\u00E9d,running")
				self.assertListEqual(snake_case_       ,			["un", "##want", "##ed", ",", "runn", "##ing"])
				self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_)       ,			[9, 6, 7, 12, 10, 11])

	def 							_SCREAMING_SNAKE_CASE   (     self:		str)				->       Union[str, Any]:

				"""simple docstring"""

				if not self.test_rust_tokenizer:
							return

				__lowerCAmelCase      :  Any												=       self.get_tokenizer()
				__lowerCAmelCase      :  Optional[int]												=       self.get_rust_tokenizer()

				__lowerCAmelCase      :  Optional[int]												=       "UNwant\u00E9d,running"

				__lowerCAmelCase      :  Any												=       tokenizer.tokenize(snake_case_)
				__lowerCAmelCase      :  Any												=       rust_tokenizer.tokenize(snake_case_)
				self.assertListEqual(snake_case_       ,			snake_case_)

				__lowerCAmelCase      :  List[Any]												=       tokenizer.encode(snake_case_       ,			add_special_tokens=snake_case_)
				__lowerCAmelCase      :  Any												=       rust_tokenizer.encode(snake_case_       ,			add_special_tokens=snake_case_)
				self.assertListEqual(snake_case_       ,			snake_case_)

				__lowerCAmelCase      :  List[Any]												=       self.get_rust_tokenizer()
				__lowerCAmelCase      :  Optional[int]												=       tokenizer.encode(snake_case_)
				__lowerCAmelCase      :  str												=       rust_tokenizer.encode(snake_case_)
				self.assertListEqual(snake_case_       ,			snake_case_)

				# With lower casing
				__lowerCAmelCase      :  Dict												=       self.get_tokenizer(do_lower_case=snake_case_)
				__lowerCAmelCase      :  str												=       self.get_rust_tokenizer(do_lower_case=snake_case_)

				__lowerCAmelCase      :  List[Any]												=       "UNwant\u00E9d,running"

				__lowerCAmelCase      :  List[Any]												=       tokenizer.tokenize(snake_case_)
				__lowerCAmelCase      :  str												=       rust_tokenizer.tokenize(snake_case_)
				self.assertListEqual(snake_case_       ,			snake_case_)

				__lowerCAmelCase      :  Union[str, Any]												=       tokenizer.encode(snake_case_       ,			add_special_tokens=snake_case_)
				__lowerCAmelCase      :  Union[str, Any]												=       rust_tokenizer.encode(snake_case_       ,			add_special_tokens=snake_case_)
				self.assertListEqual(snake_case_       ,			snake_case_)

				__lowerCAmelCase      :  Optional[int]												=       self.get_rust_tokenizer()
				__lowerCAmelCase      :  Dict												=       tokenizer.encode(snake_case_)
				__lowerCAmelCase      :  Tuple												=       rust_tokenizer.encode(snake_case_)
				self.assertListEqual(snake_case_       ,			snake_case_)

	def 							_SCREAMING_SNAKE_CASE   (     self:		Any)				->       Tuple:

				"""simple docstring"""

				__lowerCAmelCase      :  List[Any]												=       BasicTokenizer()

				self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz")       ,			["ah", "\u535A", "\u63A8", "zz"])

	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[int])				->       List[str]:

				"""simple docstring"""

				__lowerCAmelCase      :  Tuple												=       BasicTokenizer(do_lower_case=snake_case_)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  ")       ,			["hello", "!", "how", "are", "you", "?"])
				self.assertListEqual(tokenizer.tokenize("H\u00E9llo")       ,			["hello"])

	def 							_SCREAMING_SNAKE_CASE   (     self:		List[str])				->       Optional[Any]:

				"""simple docstring"""

				__lowerCAmelCase      :  int												=       BasicTokenizer(do_lower_case=snake_case_       ,			strip_accents=snake_case_)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  ")       ,			["hällo", "!", "how", "are", "you", "?"])
				self.assertListEqual(tokenizer.tokenize("H\u00E9llo")       ,			["h\u00E9llo"])

	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[int])				->       int:

				"""simple docstring"""

				__lowerCAmelCase      :  Any												=       BasicTokenizer(do_lower_case=snake_case_       ,			strip_accents=snake_case_)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  ")       ,			["hallo", "!", "how", "are", "you", "?"])
				self.assertListEqual(tokenizer.tokenize("H\u00E9llo")       ,			["hello"])

	def 							_SCREAMING_SNAKE_CASE   (     self:		str)				->       int:

				"""simple docstring"""

				__lowerCAmelCase      :  List[Any]												=       BasicTokenizer(do_lower_case=snake_case_)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  ")       ,			["hallo", "!", "how", "are", "you", "?"])
				self.assertListEqual(tokenizer.tokenize("H\u00E9llo")       ,			["hello"])

	def 							_SCREAMING_SNAKE_CASE   (     self:		Dict)				->       int:

				"""simple docstring"""

				__lowerCAmelCase      :  Dict												=       BasicTokenizer(do_lower_case=snake_case_)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  ")       ,			["HeLLo", "!", "how", "Are", "yoU", "?"])

	def 							_SCREAMING_SNAKE_CASE   (     self:		List[Any])				->       str:

				"""simple docstring"""

				__lowerCAmelCase      :  int												=       BasicTokenizer(do_lower_case=snake_case_       ,			strip_accents=snake_case_)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  ")       ,			["HäLLo", "!", "how", "Are", "yoU", "?"])

	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[int])				->       Optional[int]:

				"""simple docstring"""

				__lowerCAmelCase      :  Union[str, Any]												=       BasicTokenizer(do_lower_case=snake_case_       ,			strip_accents=snake_case_)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  ")       ,			["HaLLo", "!", "how", "Are", "yoU", "?"])

	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[Any])				->       Any:

				"""simple docstring"""

				__lowerCAmelCase      :  int												=       BasicTokenizer(do_lower_case=snake_case_       ,			never_split=["[UNK]"])

				self.assertListEqual(
				    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]")       ,			["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"])

	def 							_SCREAMING_SNAKE_CASE   (     self:		List[str])				->       Optional[int]:

				"""simple docstring"""

				__lowerCAmelCase      :  List[Any]												=       ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

				__lowerCAmelCase      :  Optional[Any]												=       {}
				for i, token in enumerate(snake_case_):
							__lowerCAmelCase      :  List[Any]												=       i
				__lowerCAmelCase      :  Dict												=       WordpieceTokenizer(vocab=snake_case_       ,			unk_token="[UNK]")

				self.assertListEqual(tokenizer.tokenize("")       ,			[])

				self.assertListEqual(tokenizer.tokenize("unwanted running")       ,			["un", "##want", "##ed", "runn", "##ing"])

				self.assertListEqual(tokenizer.tokenize("unwantedX running")       ,			["[UNK]", "runn", "##ing"])

	def 							_SCREAMING_SNAKE_CASE   (     self:		List[Any])				->       Optional[Any]:

				"""simple docstring"""

				self.assertTrue(_is_whitespace(" "))
				self.assertTrue(_is_whitespace("\t"))
				self.assertTrue(_is_whitespace("\r"))
				self.assertTrue(_is_whitespace("\n"))
				self.assertTrue(_is_whitespace("\u00A0"))

				self.assertFalse(_is_whitespace("A"))
				self.assertFalse(_is_whitespace("-"))

	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[int])				->       List[str]:

				"""simple docstring"""

				self.assertTrue(_is_control("\u0005"))

				self.assertFalse(_is_control("A"))
				self.assertFalse(_is_control(" "))
				self.assertFalse(_is_control("\t"))
				self.assertFalse(_is_control("\r"))

	def 							_SCREAMING_SNAKE_CASE   (     self:		str)				->       List[str]:

				"""simple docstring"""

				self.assertTrue(_is_punctuation("-"))
				self.assertTrue(_is_punctuation("$"))
				self.assertTrue(_is_punctuation("`"))
				self.assertTrue(_is_punctuation("."))

				self.assertFalse(_is_punctuation("A"))
				self.assertFalse(_is_punctuation(" "))

	def 							_SCREAMING_SNAKE_CASE   (     self:		Any)				->       Dict:

				"""simple docstring"""

				__lowerCAmelCase      :  Optional[Any]												=       self.get_tokenizer()
				__lowerCAmelCase      :  Tuple												=       self.get_rust_tokenizer()

				# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
				self.assertListEqual([tokenizer.tokenize(snake_case_) for t in ["Test", "\xad", "test"]]       ,			[["[UNK]"], [], ["[UNK]"]])

				self.assertListEqual(
				    [rust_tokenizer.tokenize(snake_case_) for t in ["Test", "\xad", "test"]]       ,			[["[UNK]"], [], ["[UNK]"]])

	@slow
	def 							_SCREAMING_SNAKE_CASE   (     self:		List[str])				->       Dict:

				"""simple docstring"""

				__lowerCAmelCase      :  List[str]												=       self.tokenizer_class.from_pretrained("google/mobilebert-uncased")

				__lowerCAmelCase      :  Optional[int]												=       tokenizer.encode("sequence builders"       ,			add_special_tokens=snake_case_)
				__lowerCAmelCase      :  Optional[Any]												=       tokenizer.encode("multi-sequence build"       ,			add_special_tokens=snake_case_)

				__lowerCAmelCase      :  Any												=       tokenizer.build_inputs_with_special_tokens(snake_case_)
				__lowerCAmelCase      :  int												=       tokenizer.build_inputs_with_special_tokens(snake_case_       ,			snake_case_)

				assert encoded_sentence == [101] + text + [102]
				assert encoded_pair == [101] + text + [102] + text_a + [102]

	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[Any])				->       Tuple:

				"""simple docstring"""

				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
							with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""):
										__lowerCAmelCase      :  Any												=       self.rust_tokenizer_class.from_pretrained(snake_case_       ,			**snake_case_)

										__lowerCAmelCase      :  List[Any]												=       F"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
										__lowerCAmelCase      :  Optional[Any]												=       tokenizer_r.encode_plus(
										    snake_case_       ,			return_attention_mask=snake_case_       ,			return_token_type_ids=snake_case_       ,			return_offsets_mapping=snake_case_       ,			add_special_tokens=snake_case_       ,			)

										__lowerCAmelCase      :  Union[str, Any]												=       tokenizer_r.do_lower_case if hasattr(snake_case_       ,			"do_lower_case") else False
										__lowerCAmelCase      :  Any												=       (
										    [
										        ((0, 0), tokenizer_r.cls_token),
										        ((0, 1), "A"),
										        ((1, 2), ","),
										        ((3, 5), "na"),
										        ((5, 6), "##ï"),
										        ((6, 8), "##ve"),
										        ((9, 15), tokenizer_r.mask_token),
										        ((16, 21), "Allen"),
										        ((21, 23), "##NL"),
										        ((23, 24), "##P"),
										        ((25, 33), "sentence"),
										        ((33, 34), "."),
										        ((0, 0), tokenizer_r.sep_token),
										    ]
										    if not do_lower_case
										    else [
										        ((0, 0), tokenizer_r.cls_token),
										        ((0, 1), "a"),
										        ((1, 2), ","),
										        ((3, 8), "naive"),
										        ((9, 15), tokenizer_r.mask_token),
										        ((16, 21), "allen"),
										        ((21, 23), "##nl"),
										        ((23, 24), "##p"),
										        ((25, 33), "sentence"),
										        ((33, 34), "."),
										        ((0, 0), tokenizer_r.sep_token),
										    ]
										)

										self.assertEqual(
										    [e[1] for e in expected_results]       ,			tokenizer_r.convert_ids_to_tokens(tokens["input_ids"]))
										self.assertEqual([e[0] for e in expected_results]       ,			tokens["offset_mapping"])







	def 							_SCREAMING_SNAKE_CASE   (     self:		List[str])				->       Optional[int]:

				"""simple docstring"""

				__lowerCAmelCase      :  Tuple												=       ["的", "人", "有"]
				__lowerCAmelCase      :  Any												=       "".join(snake_case_)
				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
							with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""):
										__lowerCAmelCase      :  List[str]												=       True
										__lowerCAmelCase      :  Union[str, Any]												=       self.tokenizer_class.from_pretrained(snake_case_       ,			**snake_case_)
										__lowerCAmelCase      :  Optional[int]												=       self.rust_tokenizer_class.from_pretrained(snake_case_       ,			**snake_case_)

										__lowerCAmelCase      :  str												=       tokenizer_p.encode(snake_case_       ,			add_special_tokens=snake_case_)
										__lowerCAmelCase      :  int												=       tokenizer_r.encode(snake_case_       ,			add_special_tokens=snake_case_)

										__lowerCAmelCase      :  Any												=       tokenizer_r.convert_ids_to_tokens(snake_case_)
										__lowerCAmelCase      :  Any												=       tokenizer_p.convert_ids_to_tokens(snake_case_)

										# it is expected that each Chinese character is not preceded by "##"
										self.assertListEqual(snake_case_       ,			snake_case_)
										self.assertListEqual(snake_case_       ,			snake_case_)

										__lowerCAmelCase      :  Any												=       False
										__lowerCAmelCase      :  Any												=       self.rust_tokenizer_class.from_pretrained(snake_case_       ,			**snake_case_)
										__lowerCAmelCase      :  List[Any]												=       self.tokenizer_class.from_pretrained(snake_case_       ,			**snake_case_)

										__lowerCAmelCase      :  Optional[Any]												=       tokenizer_r.encode(snake_case_       ,			add_special_tokens=snake_case_)
										__lowerCAmelCase      :  Tuple												=       tokenizer_p.encode(snake_case_       ,			add_special_tokens=snake_case_)

										__lowerCAmelCase      :  Any												=       tokenizer_r.convert_ids_to_tokens(snake_case_)
										__lowerCAmelCase      :  Any												=       tokenizer_p.convert_ids_to_tokens(snake_case_)

										# it is expected that only the first Chinese character is not preceded by "##".
										__lowerCAmelCase      :  str												=       [
										    F"""##{token}""" if idx != 0 else token for idx, token in enumerate(snake_case_)
										]
										self.assertListEqual(snake_case_       ,			snake_case_)
										self.assertListEqual(snake_case_       ,			snake_case_)






'''simple docstring'''




import os
from datetime import datetime as dt

from github import Github


__SCREAMING_SNAKE_CASE     :str       =				[
    '''good first issue''',
    '''feature request''',
    '''wip''',
]
def 	UpperCAmelCase_							(					)		->       Optional[Any]:


     '''simple docstring'''



     _UpperCAmelCase     							=   Github(os.environ["GITHUB_TOKEN"]       )
     _UpperCAmelCase     							=   g.get_repo("huggingface/accelerate"       )
     _UpperCAmelCase     							=   repo.get_issues(state="open"       )

     for issue in open_issues:
          _UpperCAmelCase     							=   sorted([comment for comment in issue.get_comments()]			,     key=lambda __lowercase       : i.created_at			,     reverse=__lowercase       )
          _UpperCAmelCase     							=   comments[0] if len(__lowercase       ) > 0 else None
          _UpperCAmelCase     							=   dt.utcnow()
          _UpperCAmelCase     							=   (current_time - issue.updated_at).days
          _UpperCAmelCase     							=   (current_time - issue.created_at).days
          if (
              last_comment is not None
              and last_comment.user.login == "github-actions[bot]"
              and days_since_updated > 7
              and days_since_creation >= 30
              and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()       )
          ):
               # Close issue since it has been 7 days of inactivity since bot mention.
               issue.edit(state="closed"       )
          elif (
              days_since_updated > 23
              and days_since_creation >= 30
              and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()       )
          ):
               # Add stale comment
               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/accelerate/blob/main/CONTRIBUTING.md) "
                   "are likely to be ignored."       )


if __name__ == "__main__":
  main()




