# Copyright 2015 The TensorFlow 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.
# ==============================================================================
"""Utilities common to CIFAR10 and CIFAR100 datasets."""

import _pickle as cPickle


def load_batch(fpath, label_key="labels"):
    """Internal utility for parsing CIFAR data.

    Args:
        fpath: path the file to parse.
        label_key: key for label data in the retrieve
            dictionary.

    Returns:
        A tuple `(data, labels)`.
    """
    with open(fpath, "rb") as f:
        d = cPickle.load(f, encoding="bytes")
        # decode utf8
        d_decoded = {}
        for k, v in d.items():
            d_decoded[k.decode("utf8")] = v
        d = d_decoded
    data = d["data"]
    labels = d[label_key]

    data = data.reshape(data.shape[0], 3, 32, 32)
    return data, labels
