var_str = '\n'.join(f'{k}="{v}"'
                      for k, v in converted_vars.items())
  # The string can then be piped into `source`, to re-set the
  # 'converted' variables.
  print(var_str)


if __name__ == '__main__':
  parser = argparse.ArgumentParser(description=(
      'Convert MSYS paths in environment variables to Windows paths.'))
  parser.add_argument('--blacklist',
                      nargs='*',

from fastapi.testclient import TestClient

from docs_src.custom_request_and_route.tutorial001 import app


@app.get("/check-class")
async def check_gzip_request(request: Request):
    return {"request_class": type(request).__name__}


client = TestClient(app)


@pytest.mark.parametrize("compress", [True, False])
def test_gzip_request(compress):
    n = 1000
    headers = {}
    body = [1] * n
    data = json.dumps(body).encode()

Install the necessary dependencies.
```sh
pip install flask requests
```

Following is an example lambda handler.
```py
from flask import Flask, request, abort, make_response
import requests

app = Flask(__name__)
@app.route('/', methods=['POST'])
def get_webhook():
	if request.method == 'POST':
		# obtain the request event from the 'POST' call
		event = request.json

		object_context = event["getObjectContext"]

    parser.add_argument("--ignore-annotations", action="store_true", default=False,
                        help="Ignore annotations during comparison")

    return parser


if __name__ == "__main__":
    parser = get_parser()
    args = parser.parse_args()

        message += "\n".join([f"* {link}" for link in links])

    print(message)
    use_pr.as_issue().create_comment(message)

    logging.info("Finished")


if __name__ == "__main__":

}

# Is this still useful?
@test "TensorFlow has Keras" {
    source /tf/venv/bin/activate
    python3 -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'

        original_type = cast(Type[BaseModel], original_type)
        use_type = cloned_types.get(original_type)
        if use_type is None:
            use_type = create_model(original_type.__name__, __base__=original_type)
            cloned_types[original_type] = use_type
            for f in original_type.__fields__.values():
                use_type.__fields__[f.name] = create_cloned_field(

  if args.xml_out_path:
    output_path = os.path.expandvars(args.xml_out_path)
    create_xml_file(links, output_path, verbose=verbose)
  if args.print:
    print_invocation_results(links)


if __name__ == '__main__':

        comment_id=comment_id,
        body=body,
    )
    response = UpdateCommentResponse.parse_obj(data)
    return response.data.updateDiscussionComment.comment


if __name__ == "__main__":
    settings = Settings()
    if settings.input_debug:
        logging.basicConfig(level=logging.DEBUG)
    else:
        logging.basicConfig(level=logging.INFO)

            file_path.name.replace(".py", f"_{target_version}.py")
        )
        logging.info(f"Writing to {version_file}")
        version_file.write_text(content_format, encoding="utf-8")


if __name__ == "__main__":