# Copyright 2021 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 # limitations under the License. # ============================================================================== import pytest import mindspore.dataset as ds from mindspore import log as logger from util import config_get_set_num_parallel_workers, config_get_set_seed DATA_DIR = '../data/dataset/testUDPOSDataset/' def test_udpos_dataset_one_file(): """ Feature: Test UDPOS Dataset. Description: read one file Expectation: throw number of data in a file """ data = ds.UDPOSDataset(DATA_DIR, usage="test", shuffle=False) count = 0 for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): logger.info("{}".format(i["word"])) count += 1 assert count == 1 def test_udpos_dataset_all_file(): """ Feature: Test UDPOS Dataset. Description: read all file Expectation: throw number of data in all file """ data = ds.UDPOSDataset(DATA_DIR, usage="all", shuffle=False) count = 0 for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): logger.info("{}".format(i["word"])) count += 1 assert count == 6 def test_udpos_dataset_shuffle_false_four_parallel(): """ Feature: Test UDPOS Dataset. Description: set up four parallel Expectation: throw data """ original_num_parallel_workers = config_get_set_num_parallel_workers(4) original_seed = config_get_set_seed(987) data = ds.UDPOSDataset(DATA_DIR, usage="all", shuffle=False) count = 0 numword = 6 line = ["From", "The", "Abed", "Come", "The", "Std", "What", "Like", "Good", "Mom", "Iike", "Good", "Abed", "...", "Zoom", "...", "Abed", "From", "Psg", "Bus", "Ori", "The", "Abed", "The", "...", "The", "ken", "Ori", "...", "Respect", "Bus", "Nine", "Job", "Mom", "Abed", "From"] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): for j in range(numword): strs = i["word"][j].item().decode("utf8") assert strs == line[count*6+j] count += 1 assert count == 6 # Restore configuration ds.config.set_num_parallel_workers(original_num_parallel_workers) ds.config.set_seed(original_seed) def test_udpos_dataset_shuffle_false_one_parallel(): """ Feature: Test UDPOS Dataset. Description: no parallelism set Expectation: throw data """ original_num_parallel_workers = config_get_set_num_parallel_workers(1) original_seed = config_get_set_seed(987) data = ds.UDPOSDataset(DATA_DIR, usage="all", shuffle=False) count = 0 numword = 6 line = ["From", "The", "Abed", "Come", "The", "Std", "Psg", "Bus", "Ori", "The", "Abed", "The", "Bus", "Nine", "Job", "Mom", "Abed", "From", "What", "Like", "Good", "Mom", "Iike", "Good", "Abed", "...", "Zoom", "...", "Abed", "From", "...", "The", "ken", "Ori", "...", "Respect"] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): for j in range(numword): strs = i["word"][j].item().decode("utf8") assert strs == line[count*6+j] count += 1 assert count == 6 # Restore configuration ds.config.set_num_parallel_workers(original_num_parallel_workers) ds.config.set_seed(original_seed) def test_udpos_dataset_shuffle_files_four_parallel(): """ Feature: Test UDPOS Dataset. Description: set four parallel and file Disorder Expectation: throw data """ original_num_parallel_workers = config_get_set_num_parallel_workers(4) original_seed = config_get_set_seed(135) data = ds.UDPOSDataset(DATA_DIR, usage="all", shuffle=ds.Shuffle.FILES) count = 0 numword = 6 line = ["Abed", "...", "Zoom", "...", "Abed", "From", "What", "Like", "Good", "Mom", "Iike", "Good", "From", "The", "Abed", "Come", "The", "Std", "...", "The", "ken", "Ori", "...", "Respect", "Psg", "Bus", "Ori", "The", "Abed", "The", "Bus", "Nine", "Job", "Mom", "Abed", "From"] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): for j in range(numword): strs = i["word"][j].item().decode("utf8") assert strs == line[count*6+j] count += 1 assert count == 6 # Restore configuration ds.config.set_num_parallel_workers(original_num_parallel_workers) ds.config.set_seed(original_seed) def test_udpos_dataset_shuffle_files_one_parallel(): """ Feature: Test UDPOS Dataset. Description: set no parallelism and file Disorder Expectation: throw data """ original_num_parallel_workers = config_get_set_num_parallel_workers(1) original_seed = config_get_set_seed(135) data = ds.UDPOSDataset(DATA_DIR, usage="all", shuffle=ds.Shuffle.FILES) count = 0 numword = 6 line = ["Abed", "...", "Zoom", "...", "Abed", "From", "...", "The", "ken", "Ori", "...", "Respect", "What", "Like", "Good", "Mom", "Iike", "Good", "From", "The", "Abed", "Come", "The", "Std", "Psg", "Bus", "Ori", "The", "Abed", "The", "Bus", "Nine", "Job", "Mom", "Abed", "From"] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): for j in range(numword): strs = i["word"][j].item().decode("utf8") assert strs == line[count*6+j] count += 1 assert count == 6 # Restore configuration ds.config.set_num_parallel_workers(original_num_parallel_workers) ds.config.set_seed(original_seed) def test_udpos_dataset_shuffle_global_four_parallel(): """ Feature: Test UDPOS Dataset. Description: set four parallel and all Disorder Expectation: throw data """ original_num_parallel_workers = config_get_set_num_parallel_workers(4) original_seed = config_get_set_seed(246) data = ds.UDPOSDataset(DATA_DIR, usage="all", shuffle=ds.Shuffle.GLOBAL) count = 0 numword = 6 line = ["Bus", "Nine", "Job", "Mom", "Abed", "From", "Abed", "...", "Zoom", "...", "Abed", "From", "From", "The", "Abed", "Come", "The", "Std", "Psg", "Bus", "Ori", "The", "Abed", "The", "What", "Like", "Good", "Mom", "Iike", "Good", "...", "The", "ken", "Ori", "...", "Respect"] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): for j in range(numword): strs = i["word"][j].item().decode("utf8") assert strs == line[count*6+j] count += 1 assert count == 6 # Restore configuration ds.config.set_num_parallel_workers(original_num_parallel_workers) ds.config.set_seed(original_seed) def test_udpos_dataset_shuffle_global_one_parallel(): """ Feature: Test UDPOS Dataset. Description: set no parallelism and all Disorder Expectation: throw data """ original_num_parallel_workers = config_get_set_num_parallel_workers(1) original_seed = config_get_set_seed(246) data = ds.UDPOSDataset(DATA_DIR, usage="all", shuffle=ds.Shuffle.GLOBAL) count = 0 numword = 6 line = ["...", "The", "ken", "Ori", "...", "Respect", "Psg", "Bus", "Ori", "The", "Abed", "The", "From", "The", "Abed", "Come", "The", "Std", "Bus", "Nine", "Job", "Mom", "Abed", "From", "What", "Like", "Good", "Mom", "Iike", "Good", "Abed", "...", "Zoom", "...", "Abed", "From"] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): for j in range(numword): strs = i["word"][j].item().decode("utf8") assert strs == line[count*6+j] count += 1 assert count == 6 # Restore configuration ds.config.set_num_parallel_workers(original_num_parallel_workers) ds.config.set_seed(original_seed) def test_udpos_dataset_num_samples(): """ Feature: Test UDPOS Dataset. Description: read one file Expectation: throw number of file """ data = ds.UDPOSDataset(DATA_DIR, usage="test", shuffle=False, num_samples=2) count = 0 for _ in data.create_dict_iterator(num_epochs=1, output_numpy=True): count += 1 assert count == 1 def test_udpos_dataset_distribution(): """ Feature: Test UDPOS Dataset. Description: read one file Expectation: throw number of file """ data = ds.UDPOSDataset(DATA_DIR, usage="test", shuffle=False, num_shards=2, shard_id=1) count = 0 for _ in data.create_dict_iterator(num_epochs=1, output_numpy=True): count += 1 assert count == 1 def test_udpos_dataset_repeat(): """ Feature: Test UDPOS Dataset. Description: repeat read data Expectation: throw data """ data = ds.UDPOSDataset(DATA_DIR, usage="test", shuffle=False) data = data.repeat(3) count = 0 numword = 6 line = ["What", "Like", "Good", "Mom", "Iike", "Good", "What", "Like", "Good", "Mom", "Iike", "Good", "What", "Like", "Good", "Mom", "Iike", "Good"] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): for j in range(numword): strs = i["word"][j].item().decode("utf8") assert strs == line[count*6+j] count += 1 assert count == 3 def test_udpos_dataset_get_datasetsize(): """ Feature: Test UDPOS Dataset. Description: repeat read data Expectation: throw data """ data = ds.UDPOSDataset(DATA_DIR, usage="test", shuffle=False) size = data.get_dataset_size() assert size == 6 def test_udpos_dataset_to_device(): """ Feature: Test UDPOS Dataset. Description: transfer data from CPU to other devices Expectation: send """ data = ds.UDPOSDataset(DATA_DIR, usage="test", shuffle=False) data = data.to_device() data.send() def test_udpos_dataset_exceptions(): """ Feature: Test UDPOS Dataset. Description: send error when error occur Expectation: send error """ with pytest.raises(ValueError) as error_info: _ = ds.UDPOSDataset(DATA_DIR, usage="test", num_samples=-1) assert "num_samples exceeds the boundary" in str(error_info.value) with pytest.raises(ValueError) as error_info: _ = ds.UDPOSDataset("NotExistFile", usage="test") assert "The folder NotExistFile does not exist or is not a directory or permission denied!" in str(error_info.value) with pytest.raises(ValueError) as error_info: _ = ds.TextFileDataset("") assert "The following patterns did not match any files" in str(error_info.value) def exception_func(item): raise Exception("Error occur!") with pytest.raises(RuntimeError) as error_info: data = data = ds.UDPOSDataset(DATA_DIR, usage="test", shuffle=False) data = data.map(operations=exception_func, input_columns=["word"], num_parallel_workers=1) for _ in data.__iter__(): pass assert "map operation: [PyFunc] failed. The corresponding data files" in str(error_info.value) if __name__ == "__main__": test_udpos_dataset_one_file() test_udpos_dataset_all_file() test_udpos_dataset_shuffle_false_four_parallel() test_udpos_dataset_shuffle_false_one_parallel() test_udpos_dataset_shuffle_files_one_parallel() test_udpos_dataset_shuffle_files_four_parallel() test_udpos_dataset_shuffle_global_four_parallel() test_udpos_dataset_shuffle_global_one_parallel() test_udpos_dataset_num_samples() test_udpos_dataset_distribution() test_udpos_dataset_repeat() test_udpos_dataset_get_datasetsize() test_udpos_dataset_to_device() test_udpos_dataset_exceptions()