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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
* *****************************************************************************
*/
2019-06-06 15:21:15 +03:00
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>
2020-04-29 11:19:26 +10:00
package org.nd4j.common.util;
2019-06-06 15:21:15 +03:00
import java.util.Collection;
import java.util.HashSet;
import java.util.Set;
public class SetUtils {
protected SetUtils() {}
// Set specific operations
public static <T> Set<T> intersection(Collection<T> parentCollection, Collection<T> removeFromCollection) {
Set<T> results = new HashSet<>(parentCollection);
results.retainAll(removeFromCollection);
return results;
}
public static <T> boolean intersectionP(Set<? extends T> s1, Set<? extends T> s2) {
for (T elt : s1) {
if (s2.contains(elt))
return true;
}
return false;
}
public static <T> Set<T> union(Set<? extends T> s1, Set<? extends T> s2) {
Set<T> s3 = new HashSet<>(s1);
s3.addAll(s2);
return s3;
}
/** Return is s1 \ s2 */
public static <T> Set<T> difference(Collection<? extends T> s1, Collection<? extends T> s2) {
Set<T> s3 = new HashSet<>(s1);
s3.removeAll(s2);
return s3;
}
}