def download_embeddings_file()

in docker/evaluation.py [0:0]

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

def download_embeddings_file():
    
    env = get_environment()
    from s3fs.core import S3FileSystem
    s3 = S3FileSystem()
    
    key = 'sagemaker/nlp-data-drift-bert-model/embeddings/embeddings.npy'
    bucket = env.bucket
    print("S3 bucket name is",bucket)

    return np.load(s3.open('{}/{}'.format(bucket, key)))