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/*
* ******************************************************************************
* *
* *
* * This program and the accompanying materials are made available under the
* * terms of the Apache License, Version 2.0 which is available at
* * https://www.apache.org/licenses/LICENSE-2.0.
* *
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* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
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* * 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.
* *
* * SPDX-License-Identifier: Apache-2.0
* *****************************************************************************
*/
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package org.datavec.api.util;
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import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
Refactor packages to fix split package issues (#411) * Refactor nd4j-common: org.nd4j.* -> org.nd4j.common.* Signed-off-by: Alex Black <blacka101@gmail.com> * Fix CUDA (missed nd4j-common package refactoring changes) Signed-off-by: Alex Black <blacka101@gmail.com> * nd4j-kryo: org.nd4j -> org.nd4j.kryo Signed-off-by: Alex Black <blacka101@gmail.com> * Fix nd4j-common for deeplearning4j-cuda Signed-off-by: Alex Black <blacka101@gmail.com> * nd4j-grppc-client: org.nd4j.graph -> org.nd4j.remote.grpc Signed-off-by: Alex Black <blacka101@gmail.com> * deeplearning4j-common: org.deeplearning4.* -> org.deeplearning4j.common.* Signed-off-by: Alex Black <blacka101@gmail.com> * deeplearning4j-core: org.deeplearning4j.* -> org.deeplearning.core.* Signed-off-by: Alex Black <blacka101@gmail.com> * deeplearning4j-cuda: org.deeplearning4j.nn.layers.* -> org.deeplearning4j.cuda.* Signed-off-by: Alex Black <blacka101@gmail.com> * Import fixes Signed-off-by: Alex Black <blacka101@gmail.com> * deeplearning4j-nlp-*: org.deeplearning4.text.* -> org.deeplearning4j.nlp.(language).* Signed-off-by: Alex Black <blacka101@gmail.com> * deeplearning4j-ui-model: org.deeplearning4j.ui -> org.deeplearning4j.ui.model Signed-off-by: Alex Black <blacka101@gmail.com> * datavec-spark-inference-{server/model/client}: org.datavec.spark.transform -> org.datavec.spark.inference.{server/model/client} Signed-off-by: Alex Black <blacka101@gmail.com> * datavec-jdbc: org.datavec.api -> org.datavec.jdbc Signed-off-by: Alex Black <blacka101@gmail.com> * Delete org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter in favor of (essentially identical) org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter Signed-off-by: Alex Black <blacka101@gmail.com> * ND4S fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Fixes Signed-off-by: Alex Black <blacka101@gmail.com> * nd4j-common-tests: org.nd4j.* -> org.nd4j.common.tests Signed-off-by: Alex Black <blacka101@gmail.com> * Trigger CI Signed-off-by: Alex Black <blacka101@gmail.com> * Fixes Signed-off-by: Alex Black <blacka101@gmail.com> * #8878 Ignore CUDA tests on modules with 'nd4j-native under cuda' issue Signed-off-by: Alex Black <blacka101@gmail.com> * Fix bad imports in tests Signed-off-by: Alex Black <blacka101@gmail.com> * Add ignore on test (already failing) due to #8882 Signed-off-by: Alex Black <blacka101@gmail.com> * Import fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Additional import fixes Signed-off-by: Alex Black <blacka101@gmail.com>
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import org.nd4j.common.tests.BaseND4JTest;
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import java.io.BufferedReader;
import java.io.File;
import java.io.InputStream;
import java.io.InputStreamReader;
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import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertTrue;
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import static org.hamcrest.MatcherAssert.assertThat;
import static org.hamcrest.CoreMatchers.equalTo;
import static org.hamcrest.CoreMatchers.anyOf;
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public class ClassPathResourceTest extends BaseND4JTest {
private boolean isWindows = false; //File sizes are reported slightly different on Linux vs. Windows
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@BeforeEach
public void setUp() throws Exception {
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String osname = System.getProperty("os.name");
if (osname != null && osname.toLowerCase().contains("win")) {
isWindows = true;
}
}
@Test
public void testGetFile1() throws Exception {
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File intFile = new ClassPathResource("datavec-api/iris.dat").getFile();
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assertTrue(intFile.exists());
if (isWindows) {
assertThat(intFile.length(), anyOf(equalTo(2700L), equalTo(2850L)));
} else {
assertEquals(2700, intFile.length());
}
}
@Test
public void testGetFileSlash1() throws Exception {
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File intFile = new ClassPathResource("datavec-api/iris.dat").getFile();
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assertTrue(intFile.exists());
if (isWindows) {
assertThat(intFile.length(), anyOf(equalTo(2700L), equalTo(2850L)));
} else {
assertEquals(2700, intFile.length());
}
}
@Test
public void testGetFileWithSpace1() throws Exception {
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File intFile = new ClassPathResource("datavec-api/csvsequence test.txt").getFile();
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assertTrue(intFile.exists());
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if (isWindows) {
assertThat(intFile.length(), anyOf(equalTo(60L), equalTo(64L)));
} else {
assertEquals(60, intFile.length());
}
}
@Test
public void testInputStream() throws Exception {
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ClassPathResource resource = new ClassPathResource("datavec-api/csvsequence_1.txt");
File intFile = resource.getFile();
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if (isWindows) {
assertThat(intFile.length(), anyOf(equalTo(60L), equalTo(64L)));
} else {
assertEquals(60, intFile.length());
}
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InputStream stream = resource.getInputStream();
BufferedReader reader = new BufferedReader(new InputStreamReader(stream));
String line = "";
int cnt = 0;
while ((line = reader.readLine()) != null) {
cnt++;
}
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assertEquals(5, cnt);
}
@Test
public void testInputStreamSlash() throws Exception {
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ClassPathResource resource = new ClassPathResource("datavec-api/csvsequence_1.txt");
File intFile = resource.getFile();
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if (isWindows) {
assertThat(intFile.length(), anyOf(equalTo(60L), equalTo(64L)));
} else {
assertEquals(60, intFile.length());
}
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InputStream stream = resource.getInputStream();
BufferedReader reader = new BufferedReader(new InputStreamReader(stream));
String line = "";
int cnt = 0;
while ((line = reader.readLine()) != null) {
cnt++;
}
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assertEquals(5, cnt);
}
}