




'''simple docstring'''


import os
from datetime import datetime as dt

from github import Github


UpperCAmelCase_ 		=      [
    "good first issue",
    "good second issue",
    "good difficult issue",
    "enhancement",
    "new pipeline/model",
    "new scheduler",
    "wip",
]


def 						SCREAMING_SNAKE_CASE       (      ):
  __a			=					Github(os.environ['GITHUB_TOKEN']			)
  __a			=					g.get_repo('huggingface/diffusers'			)
  __a			=					repo.get_issues(state='open'			)

  for issue in open_issues:
    __a			=					sorted(issue.get_comments()				,					key=lambda a_			: i.created_at				,					reverse=a_			)
    __a			=					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()









'''simple docstring'''


from typing import List, Optional, TypeVar

from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _concatenate_iterable_datasets, _interleave_iterable_datasets
from .splits import NamedSplit
from .utils import logging
from .utils.py_utils import Literal


UpperCAmelCase_ 		=      logging.get_logger(__name__)


UpperCAmelCase_ 		=      TypeVar("DatasetType", Dataset, IterableDataset)


def 						SCREAMING_SNAKE_CASE       (      a_	:							List[DatasetType]				,					a_	:							Optional[List[float]] = None				,					a_	:							Optional[int] = None				,					a_	:							Optional[DatasetInfo] = None				,					a_	:							Optional[NamedSplit] = None				,					a_	:							Literal["first_exhausted", "all_exhausted"] = "first_exhausted"				,					):
  from .arrow_dataset import Dataset
  from .iterable_dataset import IterableDataset

  if not datasets:
    raise ValueError('Unable to interleave an empty list of datasets.'			)
  for i, dataset in enumerate(a_			):
    if not isinstance(a_				,					(Dataset, IterableDataset)			):
      if isinstance(a_				,					(DatasetDict, IterableDatasetDict)			):
        if not dataset:
          raise ValueError(
              f"Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} "
              'is an empty dataset dictionary.'			)
        raise ValueError(
            f"Dataset at position {i} has at least one split: {list(a_			)}\n"
            f"Please pick one to interleave with the other datasets, for example: dataset['{next(iter(a_			)			)}']"			)
      raise ValueError(
          f"Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(a_			).__name__}."			)
    if i == 0:
      __a	,       __a			=					(
          (Dataset, IterableDataset) if isinstance(a_				,					a_			) else (IterableDataset, Dataset)
      )
    elif not isinstance(a_				,					a_			):
      raise ValueError(
          f"Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects."			)
  if stopping_strategy not in ["first_exhausted", "all_exhausted"]:
    raise ValueError(f"{stopping_strategy} is not supported. Please enter a valid stopping_strategy."			)
  if dataset_type is Dataset:
    return _interleave_map_style_datasets(
        a_				,					a_				,					a_				,					info=a_				,					split=a_				,					stopping_strategy=a_			)
  else:
    return _interleave_iterable_datasets(
        a_				,					a_				,					a_				,					info=a_				,					split=a_				,					stopping_strategy=a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							List[DatasetType]				,					a_	:							Optional[DatasetInfo] = None				,					a_	:							Optional[NamedSplit] = None				,					a_	:							int = 0				,					):

  if not dsets:
    raise ValueError('Unable to concatenate an empty list of datasets.'			)
  for i, dataset in enumerate(a_			):
    if not isinstance(a_				,					(Dataset, IterableDataset)			):
      if isinstance(a_				,					(DatasetDict, IterableDatasetDict)			):
        if not dataset:
          raise ValueError(
              f"Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} "
              'is an empty dataset dictionary.'			)
        raise ValueError(
            f"Dataset at position {i} has at least one split: {list(a_			)}\n"
            f"Please pick one to interleave with the other datasets, for example: dataset['{next(iter(a_			)			)}']"			)
      raise ValueError(
          f"Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(a_			).__name__}."			)
    if i == 0:
      __a	,       __a			=					(
          (Dataset, IterableDataset) if isinstance(a_				,					a_			) else (IterableDataset, Dataset)
      )
    elif not isinstance(a_				,					a_			):
      raise ValueError(
          f"Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects."			)
  if dataset_type is Dataset:
    return _concatenate_map_style_datasets(a_				,					info=a_				,					split=a_				,					axis=a_			)
  else:
    return _concatenate_iterable_datasets(a_				,					info=a_				,					split=a_				,					axis=a_			)



