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package org.eclipse.deeplearning4j.frameworkimport.keras.configurations;

import org.deeplearning4j.nn.conf.InputPreProcessor;
import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
import org.deeplearning4j.BaseDL4JTest;
import org.deeplearning4j.preprocessors.KerasFlattenRnnPreprocessor;
import org.deeplearning4j.preprocessors.PermutePreprocessor;
import org.deeplearning4j.preprocessors.ReshapePreprocessor;
import org.junit.jupiter.api.Tag;
import org.junit.jupiter.api.Test;
import static org.junit.jupiter.api.Assertions.assertEquals;
import org.junit.jupiter.api.DisplayName;
import org.nd4j.common.tests.tags.TagNames;

@DisplayName("Json Test")
@Tag(TagNames.JAVA_ONLY)
@Tag(TagNames.JACKSON_SERDE)
class JsonTest extends BaseDL4JTest {

    @Test
    @DisplayName("Test Json Preprocessors")
    void testJsonPreprocessors() throws Exception {
        InputPreProcessor[] pp = new InputPreProcessor[] { new KerasFlattenRnnPreprocessor(10, 5), new PermutePreprocessor(new int[] { 0, 1, 2 }), new ReshapePreprocessor(new long[] { 10, 10 }, new long[] { 100, 1 }, true, null) };
        for (InputPreProcessor p : pp) {
            String s = NeuralNetConfiguration.mapper().writeValueAsString(p);
            InputPreProcessor p2 = NeuralNetConfiguration.mapper().readValue(s, InputPreProcessor.class);
            assertEquals(p, p2);
        }
    }
}
