#
# Copyright (c) 2017 Intel Corporation
#
# Licensed 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 rl_coach.core_types import Transition
[docs]class TransitionCollection(object):
"""
Simple python implementation of transitions collection non-episodic memories
are constructed on top of.
"""
def __init__(self):
super(TransitionCollection, self).__init__()
def append(self, transition):
pass
def extend(self, transitions):
for transition in transitions:
self.append(transition)
def __len__(self):
pass
def __del__(self, range: slice):
# NOTE: the only slice used is the form: slice(None, n)
# NOTE: if it is easier, what we really want here is the ability to
# constrain the size of the collection. as new transitions are added,
# old transitions can be removed to maintain a maximum collection size.
pass
def __getitem__(self, key: int):
# NOTE: we can switch to a method which fetches multiple items at a time
# if that would significantly improve performance
pass
def __iter__(self):
# this is not high priority
pass