Source code for rlgraph.components.common.dict_merger
# Copyright 2018 The RLgraph authors. All Rights Reserved.
#
# 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 __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import re
from rlgraph.components import Component
from rlgraph.utils.decorators import rlgraph_api
from rlgraph.utils.ops import DataOpDict
[docs]class DictMerger(Component):
"""
Merges incoming items into one FlattenedDataOp.
API:
merge(*inputs) -> DataOpDict with keys=`self.input_names` and values=inputs
"""
def __init__(self, *input_names, **kwargs):
"""
Args:
*input_names (str): List of the names of the different inputs in the order they will
be passed into the `merge` API-method in the returned merged Dict.
Example:
input_names = ["A", "B"]
- merge(Dict(c=1, d=2), Tuple(3, 4))
- returned value: Dict(A=Dict(c=1, d=2), B=Tuple(3, 4))
"""
super(DictMerger, self).__init__(scope=kwargs.pop("scope", "dict-merger"), **kwargs)
assert all(isinstance(i, str) and not re.search(r'/', i) for i in input_names), \
"ERROR: Not all input names of DictMerger Component '{}' are strings or some of them have '/' characters in " \
"them, which are not allowed.".format(self.global_scope)
self.input_names = input_names
#assert len(spaces) == len(self.input_names),\
# "ERROR: Number of incoming Spaces ({}) does not match number of given `input_names` in DictMerger Component " \
# "'{}'!".format(len(spaces), len(self.input_names), self.global_scope)
# #for space in spaces:
# # assert not isinstance(space, ContainerSpace),\
# # "ERROR: Single Space ({}) going into merger '{}' must not be a Container " \
# # "Space!".format(space, self.global_scope)
@rlgraph_api
def _graph_fn_merge(self, *inputs):
"""
Merges the inputs into a single FlattenedDataOp with the flat keys given in input_names.
Args:
*inputs (FlattenedDataOp): The input items to be merged into a FlattenedDataOp.
Returns:
FlattenedDataOp: The FlattenedDataOp as a merger of all api_methods.
"""
ret = DataOpDict()
for i, op in enumerate(inputs):
ret[self.input_names[i]] = op
return ret