



import argparse
import json
import os
import time
import zipfile

from get_ci_error_statistics import download_artifact, get_artifacts_links

from transformers import logging


UpperCAmelCase__     = logging.get_logger(__name__)





def 							A			(  _UpperCAmelCase       :     Any							,     _UpperCAmelCase       :     int					)       ->				Union[str, Any]:







   '''simple docstring'''
   _UpperCAmelCase	 =     set()
   _UpperCAmelCase	 =     []

   def parse_line(_UpperCAmelCase       :     Tuple					):
      for line in fp:
         if isinstance(_UpperCAmelCase							,     _UpperCAmelCase					):
            _UpperCAmelCase	 =     line.decode('UTF-8'					)
         if "warnings summary (final)" in line:
            continue
         # This means we are outside the body of a warning
         elif not line.startswith(' '					):
            # process a single warning and move it to `selected_warnings`.
            if len(_UpperCAmelCase					) > 0:
               _UpperCAmelCase	 =     '\n'.join(_UpperCAmelCase					)
               # Only keep the warnings specified in `targets`
               if any(F": {x}: " in warning for x in targets					):
                  selected_warnings.add(_UpperCAmelCase					)
               buffer.clear()
            continue
         else:
            _UpperCAmelCase	 =     line.strip()
            buffer.append(_UpperCAmelCase					)

   if from_gh:
      for filename in os.listdir(_UpperCAmelCase					):
         _UpperCAmelCase	 =     os.path.join(_UpperCAmelCase							,     _UpperCAmelCase					)
         if not os.path.isdir(_UpperCAmelCase					):
            # read the file
            if filename != "warnings.txt":
               continue
            with open(_UpperCAmelCase					) as fp:
               parse_line(_UpperCAmelCase					)
   else:
      try:
         with zipfile.ZipFile(_UpperCAmelCase					) as z:
            for filename in z.namelist():
               if not os.path.isdir(_UpperCAmelCase					):
                  # read the file
                  if filename != "warnings.txt":
                     continue
                  with z.open(_UpperCAmelCase					) as fp:
                     parse_line(_UpperCAmelCase					)
      except Exception:
         logger.warning(
             F"{artifact_path} is either an invalid zip file or something else wrong. This file is skipped."					)

   return selected_warnings





def 							A			(  _UpperCAmelCase       :     int							,     _UpperCAmelCase       :     str					)       ->				int:







   '''simple docstring'''
   _UpperCAmelCase	 =     set()

   _UpperCAmelCase	 =     [os.path.join(_UpperCAmelCase							,     _UpperCAmelCase					) for p in os.listdir(_UpperCAmelCase					) if (p.endswith('.zip'					) or from_gh)]
   for p in paths:
      selected_warnings.update(extract_warnings_from_single_artifact(_UpperCAmelCase							,     _UpperCAmelCase					)					)

   return selected_warnings


if __name__ == "__main__":





       def 							A			(  _UpperCAmelCase       :     Tuple					)       ->				Union[str, Any]:







          '''simple docstring'''
          return values.split(','					)

       UpperCAmelCase__     = argparse.ArgumentParser()
       # Required parameters
       parser.add_argument("--workflow_run_id", type=str, required=True, help="A GitHub Actions workflow run id.")
       parser.add_argument(
           "--output_dir",
           type=str,
           required=True,
           help="Where to store the downloaded artifacts and other result files.",
       )
       parser.add_argument("--token", default=None, type=str, help="A token that has actions:read permission.")
       # optional parameters
       parser.add_argument(
           "--targets",
           default="DeprecationWarning,UserWarning,FutureWarning",
           type=list_str,
           help="Comma-separated list of target warning(s) which we want to extract.",
       )
       parser.add_argument(
           "--from_gh",
           action="store_true",
           help="If running from a GitHub action workflow and collecting warnings from its artifacts.",
       )

       UpperCAmelCase__     = parser.parse_args()

       UpperCAmelCase__     = args.from_gh
       if from_gh:
              # The artifacts have to be downloaded using `actions/download-artifact@v3`
              pass
       else:
              os.makedirs(args.output_dir, exist_ok=True)

              # get download links
              UpperCAmelCase__     = get_artifacts_links(args.workflow_run_id, token=args.token)
              with open(os.path.join(args.output_dir, "artifacts.json"), "w", encoding="UTF-8") as fp:
                     json.dump(artifacts, fp, ensure_ascii=False, indent=4)

              # download artifacts
              for idx, (name, url) in enumerate(artifacts.items()):
                     print(name)
                     print(url)
                     print("=" * 80)
                     download_artifact(name, url, args.output_dir, args.token)
                     # Be gentle to GitHub
                     time.sleep(1)

    # extract warnings from artifacts
       UpperCAmelCase__     = extract_warnings(args.output_dir, args.targets)
       UpperCAmelCase__     = sorted(selected_warnings)
       with open(os.path.join(args.output_dir, "selected_warnings.json"), "w", encoding="UTF-8") as fp:
              json.dump(selected_warnings, fp, ensure_ascii=False, indent=4)





import qiskit





def 							A			(  _UpperCAmelCase       :     int							,     _UpperCAmelCase       :     int					)       ->				qiskit.result.counts.Counts:







			'''simple docstring'''
			_UpperCAmelCase	 =     qiskit.Aer.get_backend('aer_simulator'					)

			# Create a Quantum Circuit acting on the q register
			_UpperCAmelCase	 =     qiskit.QuantumCircuit(_UpperCAmelCase							,     _UpperCAmelCase					)

			# Apply X (NOT) Gate to Qubits 0 & 1
			circuit.x(0					)
			circuit.x(1					)

			# Map the quantum measurement to the classical bits
			circuit.measure([0, 1]							,     [0, 1]					)

			# Execute the circuit on the qasm simulator
			_UpperCAmelCase	 =     qiskit.execute(_UpperCAmelCase							,     _UpperCAmelCase							,     shots=1_000					)

			# Return the histogram data of the results of the experiment.
			return job.result().get_counts(_UpperCAmelCase					)


if __name__ == "__main__":
							UpperCAmelCase__     = single_qubit_measure(2, 2)
							print(f"""Total count for various states are: {counts}""")
