# Copyright 2019 Huawei Technologies Co., Ltd
#
# 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
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# ==============================================================================

"""
Introduction to dataset/engine:

dataset/engine supports various formats of datasets, including ImageNet, TFData,
MNIST, Cifar10/100, Manifest, MindRecord, etc. This module could load data in
high performance and parse data precisely. It also provides the following
operations for users to preprocess data: shuffle, batch, repeat, map, and zip.
"""

from .datasets import *
from .iterators import *
from .serializer_deserializer import serialize, deserialize, show, compare
from .samplers import *
from ..core import config

__all__ = ["config", "zip", "ImageFolderDatasetV2", "MnistDataset",
           "MindDataset", "GeneratorDataset", "TFRecordDataset", "CLUEDataset", "CSVDataset",
           "ManifestDataset", "Cifar10Dataset", "Cifar100Dataset", "CelebADataset",
           "VOCDataset", "CocoDataset", "TextFileDataset", "Schema", "DistributedSampler",
           "PKSampler", "RandomSampler", "SequentialSampler", "SubsetRandomSampler", "WeightedRandomSampler"]
