


'''simple docstring'''



import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links







def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__=7					):
			UpperCAmelCase__  :					Tuple        =     None
			if token is not None:
						UpperCAmelCase__  :					Dict        =     {"""Accept""": """application/vnd.github+json""", """Authorization""": f'''Bearer {token}'''}

			# The id of a workflow (not of a workflow run)
			UpperCAmelCase__  :					Optional[int]        =     """636036"""

			UpperCAmelCase__  :					Any        =     f'''https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs'''
			# On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
			url += f'''?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}'''

			UpperCAmelCase__  :					Optional[int]        =     requests.get(UpperCamelCase__ ,      headers=UpperCamelCase__					).json()

			return result["workflow_runs"]







def     _UpperCamelCase      (		UpperCamelCase__					):
			UpperCAmelCase__  :					List[str]        =     get_daily_ci_runs(UpperCamelCase__					)
			UpperCAmelCase__  :					Dict        =     None
			for workflow_run in workflow_runs:
						if workflow_run["status"] == "completed":
									UpperCAmelCase__  :					Tuple        =     workflow_run["""id"""]
									break

			return workflow_run_id







def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__ ,      UpperCamelCase__					):
			UpperCAmelCase__  :					str        =     get_last_daily_ci_runs(UpperCamelCase__					)
			if workflow_run_id is not None:
						UpperCAmelCase__  :					str        =     get_artifacts_links(worflow_run_id=UpperCamelCase__ ,      token=UpperCamelCase__					)
						for artifact_name in artifact_names:
									if artifact_name in artifacts_links:
												UpperCAmelCase__  :					Optional[int]        =     artifacts_links[artifact_name]
												download_artifact(
												    artifact_name=UpperCamelCase__ ,      artifact_url=UpperCamelCase__ ,      output_dir=UpperCamelCase__ ,      token=UpperCamelCase__					)







def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__ ,      UpperCamelCase__					):
			get_last_daily_ci_artifacts(UpperCamelCase__ ,      UpperCamelCase__ ,      UpperCamelCase__					)

			UpperCAmelCase__  :					List[str]        =     {}
			for artifact_name in artifact_names:
						UpperCAmelCase__  :					Dict        =     os.path.join(UpperCamelCase__ ,      f'''{artifact_name}.zip'''					)
						if os.path.isfile(UpperCamelCase__					):
									UpperCAmelCase__  :					str        =     {}
									with zipfile.ZipFile(UpperCamelCase__					) as z:
												for filename in z.namelist():
															if not os.path.isdir(UpperCamelCase__					):
																		# read the file
																		with z.open(UpperCamelCase__					) as f:
																					UpperCAmelCase__  :					List[str]        =     f.read().decode("""UTF-8"""					)

			return results



'''simple docstring'''



from __future__ import annotations

import matplotlib.pyplot as plt  # type: ignore
import numpy

# initial triangle of Koch snowflake
__A	=numpy.array([0, 0])
__A	=numpy.array([0.5, 0.8_6_6_0_2_5_4])
__A	=numpy.array([1, 0])
__A	=[VECTOR_1, VECTOR_2, VECTOR_3, VECTOR_1]







def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__					):
			UpperCAmelCase__  :					Union[str, Any]        =     initial_vectors
			for _ in range(UpperCamelCase__					):
						UpperCAmelCase__  :					Dict        =     iteration_step(UpperCamelCase__					)
			return vectors







def     _UpperCamelCase      (		UpperCamelCase__					):
			UpperCAmelCase__  :					Optional[Any]        =     []
			for i, start_vector in enumerate(vectors[:-1]					):
						UpperCAmelCase__  :					Tuple        =     vectors[i + 1]
						new_vectors.append(UpperCamelCase__					)
						UpperCAmelCase__  :					Optional[Any]        =     end_vector - start_vector
						new_vectors.append(start_vector + difference_vector / 3					)
						new_vectors.append(
						    start_vector + difference_vector / 3 + rotate(difference_vector / 3 ,      6_0					)					)
						new_vectors.append(start_vector + difference_vector * 2 / 3					)
			new_vectors.append(vectors[-1]					)
			return new_vectors







def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__					):
			UpperCAmelCase__  :					Any        =     numpy.radians(UpperCamelCase__					)
			UpperCAmelCase__   ,       UpperCAmelCase__  :					int        =     numpy.cos(UpperCamelCase__					), numpy.sin(UpperCamelCase__					)
			UpperCAmelCase__  :					Dict        =     numpy.array(((c, -s), (s, c))					)
			return numpy.dot(UpperCamelCase__ ,      UpperCamelCase__					)







def     _UpperCamelCase      (		UpperCamelCase__					):
			UpperCAmelCase__  :					Any        =     plt.gca()
			axes.set_aspect("""equal"""					)

			# matplotlib.pyplot.plot takes a list of all x-coordinates and a list of all
			# y-coordinates as inputs, which are constructed from the vector-list using
			# zip()
			UpperCAmelCase__   ,       UpperCAmelCase__  :					Tuple        =     zip(*UpperCamelCase__					)
			plt.plot(UpperCamelCase__ ,      UpperCamelCase__					)
			plt.show()


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		__A	=iterate(INITIAL_VECTORS, 5)
		plot(processed_vectors)