





"""simple docstring"""





import argparse

import torch

from transformers import BertConfig, BertForPreTraining, load_tf_weights_in_bert
from transformers.utils import logging


logging.set_verbosity_info()


def 			UpperCAmelCase__							(  SCREAMING_SNAKE_CASE     :						str							,						SCREAMING_SNAKE_CASE     :						Any							,						SCREAMING_SNAKE_CASE     :						List[str]			):







      '''simple docstring'''




      lowerCAmelCase  						=       BertConfig.from_json_file(SCREAMING_SNAKE_CASE			)
      print(F'Building PyTorch model from configuration: {config}'			)
      lowerCAmelCase  						=       BertForPreTraining(SCREAMING_SNAKE_CASE			)

      # Load weights from tf checkpoint
      load_tf_weights_in_bert(SCREAMING_SNAKE_CASE							,						SCREAMING_SNAKE_CASE							,						SCREAMING_SNAKE_CASE			)

      # Save pytorch-model
      print(F'Save PyTorch model to {pytorch_dump_path}'			)
      torch.save(model.state_dict()							,						SCREAMING_SNAKE_CASE			)


if __name__ == "__main__":
       SCREAMING_SNAKE_CASE__					=   argparse.ArgumentParser()
       # Required parameters
       parser.add_argument(
           "--tf_checkpoint_path", default=None, type=str, required=True, help="Path to the TensorFlow checkpoint path."
       )
       parser.add_argument(
           "--bert_config_file",
           default=None,
           type=str,
           required=True,
           help=(
               "The config json file corresponding to the pre-trained BERT model. \n"
               "This specifies the model architecture."
           ),
       )
       parser.add_argument(
           "--pytorch_dump_path", default=None, type=str, required=True, help="Path to the output PyTorch model."
       )
       SCREAMING_SNAKE_CASE__					=   parser.parse_args()
       convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.bert_config_file, args.pytorch_dump_path)












"""simple docstring"""


import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links


def 					UpperCAmelCase__       (snake_case__							:					Optional[int]		,   snake_case__							:					Any=7    ):
  """simple docstring"""

  _snake_case							:		Any								=  None
  if token is not None:
    _snake_case							:		Any								=  {"""Accept""": """application/vnd.github+json""", """Authorization""": F"Bearer {token}"}

  # The id of a workflow (not of a workflow run)
  _snake_case							:		List[str]								=  """636036"""

  _snake_case							:		Union[str, 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}"

  _snake_case							:		str								=  requests.get(snake_case__		,   headers=snake_case__    ).json()

  return result["workflow_runs"]


def 					UpperCAmelCase__       (snake_case__							:					Optional[Any]    ):
  """simple docstring"""

  _snake_case							:		str								=  get_daily_ci_runs(snake_case__    )
  _snake_case							:		str								=  None
  for workflow_run in workflow_runs:
    if workflow_run["status"] == "completed":
      _snake_case							:		List[str]								=  workflow_run["""id"""]
      break

  return workflow_run_id


def 					UpperCAmelCase__       (snake_case__							:					str		,   snake_case__							:					Union[str, Any]		,   snake_case__							:					Optional[int]    ):
  """simple docstring"""

  _snake_case							:		Optional[Any]								=  get_last_daily_ci_runs(snake_case__    )
  if workflow_run_id is not None:
    _snake_case							:		Optional[Any]								=  get_artifacts_links(worflow_run_id=snake_case__		,   token=snake_case__    )
    for artifact_name in artifact_names:
      if artifact_name in artifacts_links:
        _snake_case							:		Optional[int]								=  artifacts_links[artifact_name]
        download_artifact(
            artifact_name=snake_case__		,   artifact_url=snake_case__		,   output_dir=snake_case__		,   token=snake_case__    )






def 					UpperCAmelCase__       (snake_case__							:					Union[str, Any]		,   snake_case__							:					List[str]		,   snake_case__							:					int    ):
  """simple docstring"""

  get_last_daily_ci_artifacts(snake_case__		,   snake_case__		,   snake_case__    )

  _snake_case							:		int								=  {}
  for artifact_name in artifact_names:
    _snake_case							:		int								=  os.path.join(snake_case__		,   F"{artifact_name}.zip"    )
    if os.path.isfile(snake_case__    ):
      _snake_case							:		Tuple								=  {}
      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:
              _snake_case							:		Any								=  f.read().decode("""UTF-8"""    )

  return results


