def _vectorize()

in vectorizer/main.py [0:0]

• 3 lines of code
• 1 McCabe index (conditional complexity)

    def _vectorize(self, raw: tf.Tensor) -> list[float]:
        image = tf.image.decode_jpeg(raw, channels=3)
        return self._model.predict(np.array([image.numpy()]))[0].tolist()