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44 lines
1.6 KiB
44 lines
1.6 KiB
# Copyright 2019 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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import numpy as np
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import mindspore.dataset as ds
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DATA_DIR = ["../data/dataset/testTFTestAllTypes/test.data"]
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SCHEMA_DIR = "../data/dataset/testTFTestAllTypes/datasetSchema.json"
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COLUMNS = ["col_1d", "col_2d", "col_3d", "col_binary", "col_float",
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"col_sint16", "col_sint32", "col_sint64"]
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def check(project_columns):
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data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=COLUMNS)
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data2 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=project_columns)
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for data_actual, data_expected in zip(data1.create_tuple_iterator(project_columns), data2.create_tuple_iterator()):
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assert len(data_actual) == len(data_expected)
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assert all([np.array_equal(d1, d2) for d1, d2 in zip(data_actual, data_expected)])
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def test_case_iterator():
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"""
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Test creating tuple iterator
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"""
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check(COLUMNS)
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check(COLUMNS[0:1])
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check(COLUMNS[0:2])
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check(COLUMNS[0:7])
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check(COLUMNS[7:8])
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check(COLUMNS[0:2:8])
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