# Copyright 2019 The FastEstimator 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 collections import defaultdict


class Summary:
    """The summary object that record the training history

    Args:
        name (str): Name of the experiment.
    """
    def __init__(self, name):

        self.name = name
        self.history = defaultdict(lambda: defaultdict(dict))  # {mode: {key: {step: value}}}

    def merge(self, other):
        """Merge other experiment

        Args:
            other (obj): Other experiment object need to be merged
        """
        for mode, sub in other.history.items():
            for key, val in sub.items():
                self.history[mode][key].update(val)
