# Copyright 2015 Google Inc. 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.
# ==============================================================================
"""Provides an interface for working with multiple event files."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import os
import threading

import six

from tensorflow.python.platform import logging
from tensorflow.python.summary import event_accumulator
from tensorflow.python.summary.impl import io_wrapper


class EventMultiplexer(object):
  """An `EventMultiplexer` manages access to multiple `EventAccumulator`s.

  Each `EventAccumulator` is associated with a `run`, which is a self-contained
  TensorFlow execution. The `EventMultiplexer` provides methods for extracting
  information about events from multiple `run`s.

  Example usage for loading specific runs from files:

  ```python
  x = EventMultiplexer({'run1': 'path/to/run1', 'run2': 'path/to/run2'})
  x.Reload()