


import numpy as np

A   :					Union[str, Any]	=      [
    ["a", "b", "c", "d", "e"],
    ["f", "g", "h", "i", "k"],
    ["l", "m", "n", "o", "p"],
    ["q", "r", "s", "t", "u"],
    ["v", "w", "x", "y", "z"],
]







class     _lowercase				:


       """simple docstring"""




       def __init__(     self							:    str ):


             '''simple docstring'''



             lowerCamelCase__	:       Any					=						np.array(__lowerCamelCase )





       def 		lowerCAmelCase  (     self							:    Any      ,   __lowerCamelCase							:    List[Any] ):


             '''simple docstring'''



             lowerCamelCase__	:       Optional[Any]					=						np.where(letter == self.SQUARE )
             lowerCamelCase__	:       List[str]					=						np.concatenate([indexa + 1, indexa + 1] )
             return indexes





       def 		lowerCAmelCase  (     self							:    Any      ,   __lowerCamelCase							:    Union[str, Any]      ,   __lowerCamelCase							:    List[Any] ):


             '''simple docstring'''



             lowerCamelCase__	:       int					=						self.SQUARE[indexa - 1, indexa - 1]
             return letter





       def 		lowerCAmelCase  (     self							:    Optional[Any]      ,   __lowerCamelCase							:    Optional[int] ):


             '''simple docstring'''



             lowerCamelCase__	:       int					=						message.lower()
             lowerCamelCase__	:       Tuple					=						message.replace(" "      ,   "" )
             lowerCamelCase__	:       int					=						message.replace("j"      ,   "i" )

             lowerCamelCase__	:       Any					=						np.empty((2, len(__lowerCamelCase )) )
             for letter_index in range(len(__lowerCamelCase ) ):
                   lowerCamelCase__	:       Optional[int]					=						self.letter_to_numbers(message[letter_index] )

                   lowerCamelCase__	:       Union[str, Any]					=						numbers[0]
                   lowerCamelCase__	:       Union[str, Any]					=						numbers[1]

             lowerCamelCase__	:       Optional[int]					=						first_step.reshape(2 * len(__lowerCamelCase ) )
             lowerCamelCase__	:       int					=						''
             for numbers_index in range(len(__lowerCamelCase ) ):
                   lowerCamelCase__	:       str					=						int(second_step[numbers_index * 2] )
                   lowerCamelCase__	:       str					=						int(second_step[(numbers_index * 2) + 1] )
                   lowerCamelCase__	:       Tuple					=						self.numbers_to_letter(__lowerCamelCase      ,   __lowerCamelCase )
                   lowerCamelCase__	:       Tuple					=						encoded_message + letter

             return encoded_message





       def 		lowerCAmelCase  (     self							:    int      ,   __lowerCamelCase							:    Optional[int] ):


             '''simple docstring'''



             lowerCamelCase__	:       Optional[int]					=						message.lower()
             message.replace(" "      ,   "" )
             lowerCamelCase__	:       Tuple					=						np.empty(2 * len(__lowerCamelCase ) )
             for letter_index in range(len(__lowerCamelCase ) ):
                   lowerCamelCase__	:       Optional[Any]					=						self.letter_to_numbers(message[letter_index] )
                   lowerCamelCase__	:       Optional[int]					=						numbers[0]
                   lowerCamelCase__	:       Dict					=						numbers[1]

             lowerCamelCase__	:       Optional[int]					=						first_step.reshape((2, len(__lowerCamelCase )) )
             lowerCamelCase__	:       List[str]					=						''
             for numbers_index in range(len(__lowerCamelCase ) ):
                   lowerCamelCase__	:       List[Any]					=						int(second_step[0, numbers_index] )
                   lowerCamelCase__	:       Optional[int]					=						int(second_step[1, numbers_index] )
                   lowerCamelCase__	:       Tuple					=						self.numbers_to_letter(__lowerCamelCase      ,   __lowerCamelCase )
                   lowerCamelCase__	:       str					=						decoded_message + letter

             return decoded_message






import os
from datetime import datetime as dt

from github import Github


A   :					Union[str, Any]	=      [
    "good first issue",
    "good second issue",
    "good difficult issue",
    "enhancement",
    "new pipeline/model",
    "new scheduler",
    "wip",
]

def    lowercase_	(	):

      """simple docstring"""




      lowerCamelCase__	:       Optional[int]					=						Github(os.environ["GITHUB_TOKEN"]		)
      lowerCamelCase__	:       str					=						g.get_repo("huggingface/diffusers"		)
      lowerCamelCase__	:       Optional[int]					=						repo.get_issues(state="open"		)

      for issue in open_issues:
            lowerCamelCase__	:       str					=						sorted(issue.get_comments()					,      key=lambda _A		: i.created_at					,      reverse=_A		)
            lowerCamelCase__	:       str					=						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()		)
            ):
                  # Closes the issue after 7 days of inactivity since the Stalebot notification.
                  issue.edit(state="closed"		)
            elif (
                "stale" in issue.get_labels()
                and last_comment is not None
                and last_comment.user.login != "github-actions[bot]"
            ):
                  # Opens the issue if someone other than Stalebot commented.
                  issue.edit(state="open"		)
                  issue.remove_from_labels("stale"		)
            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()		)
            ):
                  # Post a Stalebot notification after 23 days of inactivity.
                  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/diffusers/blob/main/CONTRIBUTING.md) "
                      "are likely to be ignored."		)
                  issue.add_to_labels("stale"		)


if __name__ == "__main__":
    main()


