# Copyright 2017 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.
# ==============================================================================

"""To perform inference on test set given a trained model."""
from __future__ import print_function

import codecs
import time

import tensorflow as tf

from . import model as nmt_model
from . import model_helper
from .utils import misc_utils as utils
from .utils import nmt_utils

__all__ = ["load_data"]


def load_data(inference_input_file, hparams=None):
  """Load inference data."""
  with codecs.getreader("utf-8")(
      tf.gfile.GFile(inference_input_file, mode="rb")) as f:
    inference_data = f.read().splitlines()

  if hparams and hparams.inference_indices:
    inference_data = [inference_data[i] for i in hparams.inference_indices]

  return inference_data

