63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
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# Copyright 2022 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Registry mechanism implementing the registry pattern for general use."""
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class TypeRegistry(object):
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"""Provides a type registry for the python registry pattern.
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Contains mappings between types and type specific objects, to implement the
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registry pattern.
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Some example uses of this would be to register different functions depending
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on the type of object.
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"""
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def __init__(self):
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self._registry = {}
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def register(self, obj, value):
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"""Registers a Python object within the registry.
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Args:
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obj: The object to add to the registry.
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value: The stored value for the 'obj' type.
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Raises:
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KeyError: If the same obj is used twice.
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"""
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if obj in self._registry:
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raise KeyError(f"{type(obj)} has already been registered.")
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self._registry[obj] = value
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def lookup(self, obj):
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"""Looks up 'obj'.
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Args:
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obj: The object to lookup within the registry.
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Returns:
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Value for 'obj' in the registry if found.
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Raises:
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LookupError: if 'obj' has not been registered.
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"""
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for registered in self._registry:
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if isinstance(
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obj, registered
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):
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return self._registry[registered]
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raise LookupError(f"{type(obj)} has not been registered.")
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