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add FromCSVTo Boxed|Primitive Float|Double Array functions
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package io.nosqlbench.datamappers.functions.to_cqlvector.from_string;
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/*
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* Copyright (c) 2022 nosqlbench
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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,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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import com.datastax.oss.driver.api.core.data.CqlVector;
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import io.nosqlbench.virtdata.api.annotations.Categories;
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import io.nosqlbench.virtdata.api.annotations.Category;
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import io.nosqlbench.virtdata.api.annotations.ThreadSafeMapper;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.function.Function;
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@ThreadSafeMapper
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@Categories(Category.conversion)
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public class CSVToCqlFloatVector implements Function<String, CqlVector<Float>> {
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@Override
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public CqlVector<Float> apply(String s) {
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String[] split = s.split(",");
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List<Float> floats = new ArrayList<>(split.length);
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for (String string : split) {
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floats.add(Float.parseFloat(string));
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}
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return com.datastax.oss.driver.api.core.data.CqlVector.newInstance(floats);
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}
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}
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package io.nosqlbench.virtdata.library.basics.shared.conversions.from_string;
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/*
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* Copyright (c) 2022 nosqlbench
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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,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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import io.nosqlbench.virtdata.api.annotations.Categories;
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import io.nosqlbench.virtdata.api.annotations.Category;
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import io.nosqlbench.virtdata.api.annotations.ThreadSafeMapper;
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import java.util.function.Function;
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@ThreadSafeMapper
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@Categories(Category.conversion)
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public class FromCSVToBoxedDoubleArray implements Function<String,Double[]> {
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@Override
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public Double[] apply(String s) {
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String[] split = s.split(",");
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Double[] doubles = new Double[split.length];
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for (int i = 0; i < split.length; i++) {
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doubles[i] = Double.parseDouble(split[i]);
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}
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return doubles;
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}
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}
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package io.nosqlbench.virtdata.library.basics.shared.conversions.from_string;
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/*
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* Copyright (c) 2022 nosqlbench
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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,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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import io.nosqlbench.virtdata.api.annotations.Categories;
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import io.nosqlbench.virtdata.api.annotations.Category;
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import io.nosqlbench.virtdata.api.annotations.ThreadSafeMapper;
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import java.util.function.Function;
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@ThreadSafeMapper
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@Categories(Category.conversion)
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public class FromCSVToBoxedFloatArray implements Function<String,Float[]> {
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@Override
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public Float[] apply(String s) {
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String[] split = s.split(",");
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Float[] floats = new Float[split.length];
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for (int i = 0; i < split.length; i++) {
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floats[i] = Float.parseFloat(split[i]);
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}
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return floats;
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}
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}
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package io.nosqlbench.virtdata.library.basics.shared.conversions.from_string;
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/*
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* Copyright (c) 2022 nosqlbench
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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,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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import io.nosqlbench.virtdata.api.annotations.Categories;
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import io.nosqlbench.virtdata.api.annotations.Category;
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import io.nosqlbench.virtdata.api.annotations.ThreadSafeMapper;
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import java.util.function.Function;
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@ThreadSafeMapper
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@Categories(Category.conversion)
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public class FromCSVToPrimitiveDoubleArray implements Function<String,double[]> {
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@Override
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public double[] apply(String s) {
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String[] split = s.split(",");
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double[] doubles = new double[split.length];
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for (int i = 0; i < split.length; i++) {
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doubles[i] = Double.parseDouble(split[i]);
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}
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return doubles;
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}
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}
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@ -0,0 +1,40 @@
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package io.nosqlbench.virtdata.library.basics.shared.conversions.from_string;
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/*
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* Copyright (c) 2022 nosqlbench
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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,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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import io.nosqlbench.virtdata.api.annotations.Categories;
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import io.nosqlbench.virtdata.api.annotations.Category;
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import io.nosqlbench.virtdata.api.annotations.ThreadSafeMapper;
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import java.util.function.Function;
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@ThreadSafeMapper
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@Categories(Category.conversion)
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public class FromCSVToPrimitiveFloatArray implements Function<String,float[]> {
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@Override
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public float[] apply(String s) {
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String[] split = s.split(",");
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float[] floats = new float[split.length];
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for (int i = 0; i < split.length; i++) {
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floats[i] = Float.parseFloat(split[i]);
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}
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return floats;
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}
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}
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