
import os
from datetime import datetime as dt

from github import Github


SCREAMING_SNAKE_CASE__							=				[
    """good first issue""",
    """feature request""",
    """wip""",
]




def 							__SCREAMING_SNAKE_CASE   (		)     ->						Optional[Any]:
				__lowercase								=					Github(os.environ['GITHUB_TOKEN']			)
				__lowercase								=					g.get_repo('huggingface/accelerate'			)
				__lowercase								=					repo.get_issues(state='open'			)

				for issue in open_issues:
								__lowercase								=					sorted([comment for comment in issue.get_comments()]    ,							key=lambda SCREAMING_SNAKE_CASE			: i.created_at    ,							reverse=_lowerCAmelCase			)
								__lowercase								=					comments[0] if len(_lowerCAmelCase			) > 0 else None
								__lowercase								=					dt.utcnow()
								__lowercase								=					(current_time - issue.updated_at).days
								__lowercase								=					(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()










from __future__ import annotations

from math import ceil, floor, sqrt




def 	__UpperCamelCase	(  _lowerCAmelCase = 200_0000		)       ->  int:



    """simple docstring"""






    A :       list[int]          =   [0]
    A :       int

    for idx in range(1      ,     ceil(sqrt(target * 2		) * 1.1		)		):
        triangle_numbers.append(triangle_numbers[-1] + idx		)

    # we want this to be as close as possible to target
    A :       int          =   0
    # the area corresponding to the grid that gives the product closest to target
    A :       int          =   0
    # an estimate of b, using the quadratic formula
    A :       float
    # the largest integer less than b_estimate
    A :       int
    # the largest integer less than b_estimate
    A :       int
    # the triangle number corresponding to b_floor
    A :       int
    # the triangle number corresponding to b_ceil
    A :       int

    for idx_a, triangle_a in enumerate(triangle_numbers[1:]      ,     1		):
        A :       Union[str, Any]          =   (-1 + sqrt(1 + 8 * target / triangle_a		)) / 2
        A :       List[Any]          =   floor(_lowerCAmelCase		)
        A :       Tuple          =   ceil(_lowerCAmelCase		)
        A :       int          =   triangle_numbers[b_floor]
        A :       Dict          =   triangle_numbers[b_ceil]

        if abs(target - triangle_b_first_guess * triangle_a		) < abs(
            target - best_product		):
            A :       Optional[int]          =   triangle_b_first_guess * triangle_a
            A :       Optional[int]          =   idx_a * b_floor

        if abs(target - triangle_b_second_guess * triangle_a		) < abs(
            target - best_product		):
            A :       Tuple          =   triangle_b_second_guess * triangle_a
            A :       Tuple          =   idx_a * b_ceil

    return area


if __name__ == "__main__":
     print(F"""{solution() = }""")


