
"""simple docstring"""




import numpy

# List of input, output pairs
_A			:       int   		=       (
    ((5, 2, 3), 15),
    ((6, 5, 9), 25),
    ((11, 12, 13), 41),
    ((1, 1, 1), 8),
    ((11, 12, 13), 41),
)
_A			:       Any   		=       (((5_15, 22, 13), 5_55), ((61, 35, 49), 1_50))
_A			:       Tuple   		=       [2, 4, 1, 5]
_A			:       Union[str, Any]   		=       len(train_data)
_A			:       Any   		=       0.0_0_9


def   __magic_name__	(      __snake_case				:       List[Any]     , __snake_case				:       Any="train"  ) ->				List[Any]:
       return calculate_hypothesis_value(__snake_case     , __snake_case  ) - output(
           __snake_case     , __snake_case  )


def   __magic_name__	(      __snake_case				:       List[str]  ) ->				Tuple:
       lowercase    :				Dict       		=							0
       for i in range(len(__snake_case  ) - 1  ):
              hyp_val += data_input_tuple[i] * parameter_vector[i + 1]
       hyp_val += parameter_vector[0]
       return hyp_val


def   __magic_name__	(      __snake_case				:       List[Any]     , __snake_case				:       Optional[int]  ) ->				Optional[int]:
       if data_set == "train":
              return train_data[example_no][1]
       elif data_set == "test":
              return test_data[example_no][1]
       return None


def   __magic_name__	(      __snake_case				:       int     , __snake_case				:       Union[str, Any]  ) ->				Union[str, Any]:
       if data_set == "train":
              return _hypothesis_value(train_data[example_no][0]  )
       elif data_set == "test":
              return _hypothesis_value(test_data[example_no][0]  )
       return None


def   __magic_name__	(      __snake_case				:       List[Any]     , __snake_case				:       Any=m  ) ->				str:
       lowercase    :				Union[str, Any]       		=							0
       for i in range(__snake_case  ):
              if index == -1:
                     summation_value += _error(__snake_case  )
              else:
                     summation_value += _error(__snake_case  ) * train_data[i][0][index]
       return summation_value


def   __magic_name__	(      __snake_case				:       List[Any]  ) ->				Tuple:
       lowercase    :				Optional[int]       		=							summation_of_cost_derivative(__snake_case     , __snake_case  ) / m
       return cost_derivative_value


def   __magic_name__	(      ) ->				Dict:
       global parameter_vector
       # Tune these values to set a tolerance value for predicted output
       lowercase    :				Union[str, Any]       		=							0.00_00_02
       lowercase    :				Optional[int]       		=							0
       lowercase    :				Tuple       		=							0
       while True:
              j += 1
              lowercase    :				Union[str, Any]       		=							[0, 0, 0, 0]
              for i in range(0     , len(__snake_case  )  ):
                     lowercase    :				Optional[int]       		=							get_cost_derivative(i - 1  )
                     lowercase    :				Any       		=							(
                         parameter_vector[i] - LEARNING_RATE * cost_derivative
                     )
              if numpy.allclose(
                  __snake_case     , __snake_case     , atol=__snake_case     , rtol=__snake_case     , ):
                     break
              lowercase    :				Optional[Any]       		=							temp_parameter_vector
       print(("Number of iterations:", j)  )


def   __magic_name__	(      ) ->				int:
       for i in range(len(__snake_case  )  ):
              print(("Actual output value:", output(__snake_case     , "test"  ))  )
              print(("Hypothesis output:", calculate_hypothesis_value(__snake_case     , "test"  ))  )


if __name__ == "__main__":
   run_gradient_descent()
   print("""\nTesting gradient descent for a linear hypothesis function.\n""")
   test_gradient_descent()




"""simple docstring"""




import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links


def   __magic_name__	(      __snake_case				:       Union[str, Any]     , __snake_case				:       List[str]=7  ) ->				str:
       lowercase    :				int       		=							None
       if token is not None:
              lowercase    :				Any       		=							{"Accept": "application/vnd.github+json", "Authorization": f"""Bearer {token}"""}

       # The id of a workflow (not of a workflow run)
       lowercase    :				int       		=							"636036"

       lowercase    :				Dict       		=							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}"""

       lowercase    :				int       		=							requests.get(__snake_case     , headers=__snake_case  ).json()

       return result["workflow_runs"]


def   __magic_name__	(      __snake_case				:       Dict  ) ->				Tuple:
       lowercase    :				Tuple       		=							get_daily_ci_runs(__snake_case  )
       lowercase    :				Union[str, Any]       		=							None
       for workflow_run in workflow_runs:
              if workflow_run["status"] == "completed":
                     lowercase    :				List[Any]       		=							workflow_run["id"]
                     break

       return workflow_run_id


def   __magic_name__	(      __snake_case				:       Optional[int]     , __snake_case				:       Optional[Any]     , __snake_case				:       Union[str, Any]  ) ->				int:
       lowercase    :				Dict       		=							get_last_daily_ci_runs(__snake_case  )
       if workflow_run_id is not None:
              lowercase    :				Dict       		=							get_artifacts_links(worflow_run_id=__snake_case     , token=__snake_case  )
              for artifact_name in artifact_names:
                     if artifact_name in artifacts_links:
                            lowercase    :				Optional[int]       		=							artifacts_links[artifact_name]
                            download_artifact(
                                artifact_name=__snake_case     , artifact_url=__snake_case     , output_dir=__snake_case     , token=__snake_case  )


def   __magic_name__	(      __snake_case				:       List[Any]     , __snake_case				:       Optional[int]     , __snake_case				:       Tuple  ) ->				Optional[int]:
       get_last_daily_ci_artifacts(__snake_case     , __snake_case     , __snake_case  )

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

       return results


