/*
 *  ******************************************************************************
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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.
 *  *
 *  *  See the NOTICE file distributed with this work for additional
 *  *  information regarding copyright ownership.
 *  * 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.
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package org.nd4j.python4j;

import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Tag;
import org.junit.jupiter.api.Test;
import org.nd4j.common.tests.tags.NativeTag;
import org.nd4j.common.tests.tags.TagNames;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.python4j.numpy.NumpyArray;

import static org.junit.jupiter.api.Assertions.assertEquals;
@Tag(TagNames.FILE_IO)
@NativeTag
@Tag(TagNames.PYTHON)
public class PythonNumpyImportTest {

    @BeforeAll
    public static void init() {
        new NumpyArray().init();
    }

    @Test
    public void testNumpyImport(){
        try(PythonGIL pythonGIL = PythonGIL.lock()) {
            try(PythonGC gc = PythonGC.watch()){
                PythonObject np = Python.importModule("numpy");
                PythonObject zeros = np.attr("zeros").call(5);
                INDArray arr = NumpyArray.INSTANCE.toJava(zeros);
                assertEquals(arr, Nd4j.zeros(DataType.DOUBLE, 5));
            }
        }

    }
}
