def update_fingerprint()

in src/datasets/fingerprint.py [0:0]

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

def update_fingerprint(fingerprint, transform, transform_args):
    global fingerprint_warnings
    hasher = Hasher()
    hasher.update(fingerprint)
    try:
        hasher.update(transform)
    except:  # noqa various errors might raise here from pickle or dill
        if _CACHING_ENABLED:
            if not fingerprint_warnings.get("update_fingerprint_transform_hash_failed", False):
                logger.warning(
                    f"Transform {transform} couldn't be hashed properly, a random hash was used instead. "
                    "Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting and caching to work. "
                    "If you reuse this transform, the caching mechanism will consider it to be different from the previous calls and recompute everything. "
                    "This warning is only showed once. Subsequent hashing failures won't be showed."
                )
                fingerprint_warnings["update_fingerprint_transform_hash_failed"] = True
            else:
                logger.info(f"Transform {transform} couldn't be hashed properly, a random hash was used instead.")
        else:
            logger.info(
                f"Transform {transform} couldn't be hashed properly, a random hash was used instead. This doesn't affect caching since it's disabled."
            )

        return generate_random_fingerprint()
    for key in sorted(transform_args):
        hasher.update(key)
        try:
            hasher.update(transform_args[key])
        except:  # noqa various errors might raise here from pickle or dill
            if _CACHING_ENABLED:
                if not fingerprint_warnings.get("update_fingerprint_transform_hash_failed", False):
                    logger.warning(
                        f"Parameter '{key}'={transform_args[key]} of the transform {transform} couldn't be hashed properly, a random hash was used instead. "
                        "Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting and caching to work. "
                        "If you reuse this transform, the caching mechanism will consider it to be different from the previous calls and recompute everything. "
                        "This warning is only showed once. Subsequent hashing failures won't be showed."
                    )
                    fingerprint_warnings["update_fingerprint_transform_hash_failed"] = True
                else:
                    logger.info(
                        f"Parameter '{key}'={transform_args[key]} of the transform {transform} couldn't be hashed properly, a random hash was used instead."
                    )
            else:
                logger.info(
                    f"Parameter '{key}'={transform_args[key]} of the transform {transform} couldn't be hashed properly, a random hash was used instead. This doesn't affect caching since it's disabled."
                )
            return generate_random_fingerprint()
    return hasher.hexdigest()