def load(self, filename, create_if_missing=True):
        filename = Path(filename)
        if not filename.exists() and create_if_missing:
            self.load_pip_requirements()
            with filename.open("w") as f:
                f.write(yaml.dump(self.serialized, default_flow_style=False,
                                  encoding=None))
            self.filename = filename
            return self.save(filename)
        with filename.open() as f:
            for group, requirements in yaml.load(f.read()).items():
                for requirement in requirements:
                    self[group].add(Requirement.coerce(requirement))
        self.filename = filename
def profile(self, action_name: str) -> Generator:
        """
        Yields a context manager to encapsulate the scope of a profiled action.

        Example::

            with self.profile('load training data'):
                # load training data code

        The profiler will start once you've entered the context and will automatically
        stop once you exit the code block.
        """
        try:
            self.start(action_name)
            yield action_name
        finally:
            self.stop(action_name)