


'''simple docstring'''



import math


class 						_snake_case   :




							def 			snake_case__  ( self							,							_lowerCamelCase							,							_lowerCamelCase):
										UpperCAmelCase__					:   Dict       				=       0.0
										UpperCAmelCase__					:   Optional[int]       				=       0.0
										for i in range(len(_A)):
													da += math.pow((sample[i] - weights[0][i])							,							2)
													da += math.pow((sample[i] - weights[1][i])							,							2)
													return 0 if da > da else 1
										return 0




							def 			snake_case__  ( self							,							_lowerCamelCase							,							_lowerCamelCase							,							_lowerCamelCase							,							_lowerCamelCase):



										for i in range(len(_A)):
													weights[j][i] += alpha * (sample[i] - weights[j][i])
										return weights







def       _UpperCamelCase (						):
			# Training Examples ( m, n )
			UpperCAmelCase__					:   Dict       				=       [[1, 1, 0, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 0, 1, 1]]

			# weight initialization ( n, C )
			UpperCAmelCase__					:   List[Any]       				=       [[0.2, 0.6, 0.5, 0.9], [0.8, 0.4, 0.7, 0.3]]

			# training
			UpperCAmelCase__					:   int       				=       SelfOrganizingMap()
			UpperCAmelCase__					:   Dict       				=       3
			UpperCAmelCase__					:   List[Any]       				=       0.5

			for _ in range(SCREAMING_SNAKE_CASE_   ):
						for j in range(len(SCREAMING_SNAKE_CASE_   )   ):
									# training sample
									UpperCAmelCase__					:   Dict       				=       training_samples[j]

									# Compute the winning vector
									UpperCAmelCase__					:   int       				=       self_organizing_map.get_winner(SCREAMING_SNAKE_CASE_	, SCREAMING_SNAKE_CASE_   )

									# Update the winning vector
									UpperCAmelCase__					:   int       				=       self_organizing_map.update(SCREAMING_SNAKE_CASE_	, SCREAMING_SNAKE_CASE_	, SCREAMING_SNAKE_CASE_	, SCREAMING_SNAKE_CASE_   )

    # classify test sample
			UpperCAmelCase__					:   Any       				=       [0, 0, 0, 1]
			UpperCAmelCase__					:   Any       				=       self_organizing_map.get_winner(SCREAMING_SNAKE_CASE_	, SCREAMING_SNAKE_CASE_   )

			# results
			print(f'''Clusters that the test sample belongs to : {winner}'''   )
			print(f'''Weights that have been trained : {weights}'''   )


# running the main() function
if __name__ == "__main__":
		main()



'''simple docstring'''



import os
from datetime import datetime as dt

from github import Github


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







def       _UpperCamelCase (						):
			UpperCAmelCase__					:   Union[str, Any]       				=       Github(os.environ["""GITHUB_TOKEN"""]   )
			UpperCAmelCase__					:   Any       				=       g.get_repo("""huggingface/diffusers"""   )
			UpperCAmelCase__					:   Optional[int]       				=       repo.get_issues(state="""open"""   )

			for issue in open_issues:
						UpperCAmelCase__					:   Any       				=       sorted(issue.get_comments()	, key=lambda UpperCamelCase__   : i.created_at	, reverse=UpperCamelCase__   )
						UpperCAmelCase__					:   List[Any]       				=       comments[0] if len(UpperCamelCase__   ) > 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 >= 3_0
						    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 > 2_3
						    and (dt.utcnow() - issue.created_at).days >= 3_0
						    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()