





from datetime import datetime as dt
import os

from github import Github


_a 						=      [
    "good first issue",
    "good second issue",
    "good difficult issue",
    "feature request",
    "new model",
    "wip",
]





def lowerCAmelCase__()				->      List[Any]:







	'''simple docstring'''







	lowerCamelCase__								=		Github(os.environ['''GITHUB_TOKEN''']							)
	lowerCamelCase__								=		g.get_repo('''huggingface/transformers'''							)
	lowerCamelCase__								=		repo.get_issues(state='''open'''							)

	for issue in open_issues:
		lowerCamelCase__								=		sorted([comment for comment in issue.get_comments()]       ,key=lambda __snake_case							: i.created_at       ,reverse=__snake_case							)
		lowerCamelCase__								=		comments[0] if len(__snake_case							) > 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()










import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
			from .tokenization_xlnet import XLNetTokenizer
else:
			_a 						=      None


_a 						=      logging.get_logger(__name__)

_a 						=      {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

_a 						=      {
    "vocab_file": {
        "xlnet-base-cased": "https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model",
        "xlnet-large-cased": "https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "xlnet-base-cased": "https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json",
        "xlnet-large-cased": "https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json",
    },
}

_a 						=      {
    "xlnet-base-cased": None,
    "xlnet-large-cased": None,
}

_a 						=      "▁"

# Segments (not really needed)
_a 						=      0
_a 						=      1
_a 						=      2
_a 						=      3
_a 						=      4






class 					__A    (    lowerCAmelCase ):

			'''simple docstring'''







			lowerCAmelCase_							     =						VOCAB_FILES_NAMES
			lowerCAmelCase_							     =						PRETRAINED_VOCAB_FILES_MAP
			lowerCAmelCase_							     =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCAmelCase_							     =						"""left"""
			lowerCAmelCase_							     =						XLNetTokenizer





			def __init__(    self       ,  __lowerCAmelCase=None       ,  __lowerCAmelCase=None       ,  __lowerCAmelCase=False       ,  __lowerCAmelCase=True       ,  __lowerCAmelCase=False       ,  __lowerCAmelCase="<s>"       ,  __lowerCAmelCase="</s>"       ,  __lowerCAmelCase="<unk>"       ,  __lowerCAmelCase="<sep>"       ,  __lowerCAmelCase="<pad>"       ,  __lowerCAmelCase="<cls>"       ,  __lowerCAmelCase="<mask>"       ,  __lowerCAmelCase=["<eop>", "<eod>"]       ,  **__lowerCAmelCase       ,  ):



				'''simple docstring'''







				lowerCamelCase__								=		AddedToken(__lowerCAmelCase       ,  lstrip=__lowerCAmelCase       ,  rstrip=__lowerCAmelCase							) if isinstance(__lowerCAmelCase       ,  __lowerCAmelCase							) else mask_token

				super().__init__(
				    vocab_file=__lowerCAmelCase       ,  tokenizer_file=__lowerCAmelCase       ,  do_lower_case=__lowerCAmelCase       ,  remove_space=__lowerCAmelCase       ,  keep_accents=__lowerCAmelCase       ,  bos_token=__lowerCAmelCase       ,  eos_token=__lowerCAmelCase       ,  unk_token=__lowerCAmelCase       ,  sep_token=__lowerCAmelCase       ,  pad_token=__lowerCAmelCase       ,  cls_token=__lowerCAmelCase       ,  mask_token=__lowerCAmelCase       ,  additional_special_tokens=__lowerCAmelCase       ,  **__lowerCAmelCase       ,  )

				lowerCamelCase__								=		3
				lowerCamelCase__								=		do_lower_case
				lowerCamelCase__								=		remove_space
				lowerCamelCase__								=		keep_accents
				lowerCamelCase__								=		vocab_file
				lowerCamelCase__								=		False if not self.vocab_file else True





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase = None							):



				'''simple docstring'''







				lowerCamelCase__								=		[self.sep_token_id]
				lowerCamelCase__								=		[self.cls_token_id]
				if token_ids_a is None:
					return token_ids_a + sep + cls
				return token_ids_a + sep + token_ids_a + sep + cls





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase = None							):



				'''simple docstring'''







				lowerCamelCase__								=		[self.sep_token_id]
				lowerCamelCase__								=		[2]

				if token_ids_a is None:
					return len(token_ids_a + sep							) * [0] + cls_segment_id
				return len(token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1] + cls_segment_id





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase = None							):



				'''simple docstring'''







				if not self.can_save_slow_tokenizer:
					raise ValueError(
					    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
					    '''tokenizer.'''							)

				if not os.path.isdir(__lowerCAmelCase							):
					logger.error(F'Vocabulary path ({save_directory}) should be a directory'							)
					return
				lowerCamelCase__								=		os.path.join(
				    __lowerCAmelCase       ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)

				if os.path.abspath(self.vocab_file							) != os.path.abspath(__lowerCAmelCase							):
					copyfile(self.vocab_file       ,  __lowerCAmelCase							)

				return (out_vocab_file,)



