# # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. from __future__ import annotations from typing import TYPE_CHECKING, Any from airflow.utils.module_loading import import_string, qualname # lazy loading for performance reasons serializers = [ "numpy.int8", "numpy.int16", "numpy.int32", "numpy.int64", "numpy.uint8", "numpy.uint16", "numpy.uint32", "numpy.uint64", "numpy.bool_", "numpy.float64", "numpy.float16", "numpy.complex128", "numpy.complex64", ] if TYPE_CHECKING: from airflow.serialization.serde import U deserializers = serializers __version__ = 1 def serialize(o: object) -> tuple[U, str, int, bool]: import numpy as np if np is None: return "", "", 0, False name = qualname(o) if isinstance( o, ( np.int_, np.intc, np.intp, np.int8, np.int16, np.int32, np.int64, np.uint8, np.uint16, np.uint32, np.uint64, ), ): return int(o), name, __version__, True if isinstance(o, np.bool_): return bool(np), name, __version__, True if isinstance( o, (np.float_, np.float16, np.float32, np.float64, np.complex_, np.complex64, np.complex128) ): return float(o), name, __version__, True return "", "", 0, False def deserialize(classname: str, version: int, data: str) -> Any: if version > __version__: raise TypeError("serialized version is newer than class version") if classname not in deserializers: raise TypeError(f"unsupported {classname} found for numpy deserialization") return import_string(classname)(data)