def load(self, requirements_file=None):
        """Load or reload requirements from a requirements.txt file.

        :param requirements_file: if not given, the filename used from
            initialization will be read again.
        """
        if requirements_file is None:
            requirements_file = self.filename
            if requirements_file is None:
                raise ValueError("no filename provided")
        elif isinstance(requirements_file, text_type):
            requirements_file = Path(requirements_file)
        self.clear()
        with requirements_file.open() as f:
            self.loads(f.read())

        if isinstance(requirements_file, (text_type, Path)):
            self.filename = requirements_file
def upload_face_image(self, img_data):
        """
        Upload an image of the user's face. `img_data` should be a raw
        bytestream of a PNG image. This method will take the data, encrypt it
        using our FACE_IMAGE_AES_KEY, encode it with base64 and save it to the
        storage backend.

        Yes, encoding it to base64 adds compute and disk usage without much real
        benefit, but that's what the other end of this API is expecting to get.
        """
        # Skip this whole thing if we're running acceptance tests or if we're
        # developing and aren't interested in working on student identity
        # verification functionality. If you do want to work on it, you have to
        # explicitly enable these in your private settings.
        if settings.FEATURES.get('AUTOMATIC_VERIFY_STUDENT_IDENTITY_FOR_TESTING'):
            return

        aes_key_str = settings.VERIFY_STUDENT["SOFTWARE_SECURE"]["FACE_IMAGE_AES_KEY"]
        aes_key = aes_key_str.decode("hex")

        path = self._get_path("face")
        buff = ContentFile(encrypt_and_encode(img_data, aes_key))
        self._storage.save(path, buff)