forked from mindspore-Ecosystem/mindspore
117 lines
4.2 KiB
Python
Executable File
117 lines
4.2 KiB
Python
Executable File
# Copyright 2022 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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"""
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Testing write_file
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"""
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import os
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import numpy
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import pytest
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from mindspore import Tensor
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from mindspore.dataset import vision
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def test_write_file_normal():
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"""
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Feature: write_file
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Description: Test the write_file by writing the data into a file using binary mode
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Expectation: The file should be writeen and removed
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"""
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filename_1 = "../data/dataset/apple.jpg"
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data_1_numpy = numpy.fromfile(filename_1, dtype=numpy.uint8)
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data_1_tensor = Tensor.from_numpy(data_1_numpy)
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filename_2 = filename_1 + ".test_write_file"
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# Test writing numpy.ndarray
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vision.write_file(filename_2, data_1_numpy)
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data_2_numpy = numpy.fromfile(filename_2, dtype=numpy.uint8)
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os.remove(filename_2)
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assert data_2_numpy.shape == (159109,)
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# Test writing Tensor
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vision.write_file(filename_2, data_1_tensor)
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data_2_numpy = numpy.fromfile(filename_2, dtype=numpy.uint8)
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os.remove(filename_2)
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assert data_2_numpy.shape == (159109,)
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# Test writing empty numpy.ndarray
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empty_numpy = numpy.empty(0, dtype=numpy.uint8)
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vision.utils.write_file(filename_2, empty_numpy)
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data_2_numpy = numpy.fromfile(filename_2, dtype=numpy.uint8)
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os.remove(filename_2)
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assert data_2_numpy.shape == (0,)
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# Test writing empty Tensor
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empty_tensor = Tensor.from_numpy(empty_numpy)
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vision.utils.write_file(filename_2, empty_tensor)
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data_2_numpy = numpy.fromfile(filename_2, dtype=numpy.uint8)
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os.remove(filename_2)
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assert data_2_numpy.shape == (0,)
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def test_write_file_exception():
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"""
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Feature: write_file
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Description: Test the write_file with invalid parameter
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Expectation: Error is caught when the parameter is invalid
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"""
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def test_invalid_param(filename_param, data_param, error, error_msg):
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"""
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a function used for checking correct error and message with invalid parameter
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"""
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with pytest.raises(error) as error_info:
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vision.write_file(filename_param, data_param)
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assert error_msg in str(error_info.value)
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filename_1 = "../data/dataset/apple.jpg"
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data_1_numpy = numpy.fromfile(filename_1, dtype=numpy.uint8)
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data_1_tensor = Tensor.from_numpy(data_1_numpy)
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# Test with a directory name
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wrong_filename = "../data/dataset/"
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error_message = "Invalid file path, " + wrong_filename + " is not a regular file."
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test_invalid_param(wrong_filename, data_1_numpy, RuntimeError, error_message)
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# Test with an invalid filename
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wrong_filename = "/dev/cdrom/0"
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error_message = "No such file or directory"
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test_invalid_param(wrong_filename, data_1_tensor, RuntimeError, error_message)
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# Test with an invalid type for the filename
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error_message = "Input filename is not of type"
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test_invalid_param(0, data_1_numpy, TypeError, error_message)
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# Test with an invalid type for the data
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filename_2 = filename_1 + ".test_write_file"
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error_message = "Input data is not of type"
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test_invalid_param(filename_2, 0, TypeError, error_message)
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# Test with invalid float elements
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invalid_data = numpy.ndarray(shape=(10), dtype=float)
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error_message = "The type of the elements of data should be"
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test_invalid_param(filename_2, invalid_data, RuntimeError, error_message)
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# Test with invalid data
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error_message = "The data has invalid dimensions"
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invalid_data = numpy.ndarray(shape=(10, 10), dtype=numpy.uint8)
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test_invalid_param(filename_2, invalid_data, RuntimeError, error_message)
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if __name__ == "__main__":
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test_write_file_normal()
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test_write_file_exception()
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