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/*
 * Copyright (c) 2019 by Andrew Charneski.
 *
 * The author licenses this file to you under the
 * Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance
 * with the License.  You may obtain a copy
 * of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * 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.
 */

package com.simiacryptus.mindseye.layers.java;

import com.google.gson.JsonObject;
import com.simiacryptus.mindseye.lang.*;
import com.simiacryptus.ref.lang.RefUtil;
import com.simiacryptus.ref.wrappers.RefArrays;
import com.simiacryptus.ref.wrappers.RefIntStream;
import com.simiacryptus.ref.wrappers.RefList;
import org.jetbrains.annotations.NotNull;

import javax.annotation.Nonnull;
import javax.annotation.Nullable;
import java.util.Map;
import java.util.UUID;
import java.util.function.IntFunction;

/**
 * The type Cross product layer.
 */
@SuppressWarnings("serial")
public class CrossProductLayer extends LayerBase {

  /**
   * Instantiates a new Cross product layer.
   */
  public CrossProductLayer() {
  }

  /**
   * Instantiates a new Cross product layer.
   *
   * @param id the id
   */
  protected CrossProductLayer(@Nonnull final JsonObject id) {
    super(id);
  }

  /**
   * From json cross product layer.
   *
   * @param json the json
   * @param rs   the rs
   * @return the cross product layer
   */
  @Nonnull
  @SuppressWarnings("unused")
  public static CrossProductLayer fromJson(@Nonnull final JsonObject json, Map rs) {
    return new CrossProductLayer(json);
  }

  /**
   * Index int.
   *
   * @param x   the x
   * @param y   the y
   * @param max the max
   * @return the int
   */
  public static int index(final int x, final int y, final int max) {
    return max * (max - 1) / 2 - (max - x) * (max - x - 1) / 2 + y - x - 1;
  }

  @Nonnull
  @Override
  public Result eval(@Nonnull final Result... inObj) {
    assert 1 == inObj.length;
    final Result in = inObj[0].addRef();
    TensorList indata = in.getData();
    TensorArray data = fwd(indata.addRef());
    boolean alive = alive(inObj);
    Accumulator accumulator = new Accumulator(indata, in.getAccumulator(), in.isAlive());
    in.freeRef();
    return new Result(data, accumulator, alive);
  }

  @Nonnull
  @Override
  public JsonObject getJson(Map resources, DataSerializer dataSerializer) {
    return super.getJsonStub();
  }

  @Nonnull
  @Override
  public RefList state() {
    return RefArrays.asList();
  }

  public @SuppressWarnings("unused")
  void _free() {
    super._free();
  }

  @Nonnull
  public @Override
  @SuppressWarnings("unused")
  CrossProductLayer addRef() {
    return (CrossProductLayer) super.addRef();
  }

  private boolean alive(Result[] inObj) {
    return Result.anyAlive(inObj);
  }

  @NotNull
  private TensorArray fwd(TensorList indata) {
    TensorArray tensorArray = new TensorArray(indata.stream().parallel().map(tensor -> {
      final int inputDim = tensor.length();
      final int outputDim = (inputDim * inputDim - inputDim) / 2;
      @Nonnull final Tensor result1 = new Tensor(outputDim);
      @Nullable final double[] inputData = tensor.getData();
      tensor.freeRef();
      @Nullable final double[] resultData = result1.getData();
      RefIntStream.range(0, inputDim).forEach(x -> {
        RefIntStream.range(x + 1, inputDim).forEach(y -> {
          resultData[CrossProductLayer.index(x, y, inputDim)] = inputData[x] * inputData[y];
        });
      });
      return result1;
    }).toArray(Tensor[]::new));
    indata.freeRef();
    return tensorArray;
  }

  private static class Accumulator extends Result.Accumulator {

    private final TensorList indata;
    private Result.Accumulator accumulator;
    private boolean alive;

    /**
     * Instantiates a new Accumulator.
     *
     * @param indata      the indata
     * @param accumulator the accumulator
     * @param alive       the alive
     */
    public Accumulator(TensorList indata, Result.Accumulator accumulator, boolean alive) {
      this.indata = indata;
      this.accumulator = accumulator;
      this.alive = alive;
    }

    @Override
    public void accept(@Nullable DeltaSet buffer, @Nonnull TensorList delta) {
      if (alive) {
        assert delta.length() == delta.length();
        @Nonnull
        TensorArray tensorArray = new TensorArray(RefIntStream.range(0, delta.length()).parallel()
            .mapToObj(RefUtil.wrapInterface((IntFunction) batchIndex -> {
              @Nullable final Tensor deltaTensor = delta.get(batchIndex);
              final int outputDim = deltaTensor.length();
              final int inputDim = (1 + (int) Math.sqrt(1 + 8 * outputDim)) / 2;
              @Nonnull final Tensor passback = new Tensor(inputDim);
              @Nullable final double[] passbackData = passback.getData();
              @Nullable final double[] tensorData = deltaTensor.getData();
              deltaTensor.freeRef();
              Tensor inputTensor = indata.get(batchIndex);
              @Nullable final double[] inputData = inputTensor.getData();
              inputTensor.freeRef();
              RefIntStream.range(0, inputDim).forEach(x -> {
                RefIntStream.range(x + 1, inputDim).forEach(y -> {
                  passbackData[x] += tensorData[CrossProductLayer.index(x, y, inputDim)] * inputData[y];
                  passbackData[y] += tensorData[CrossProductLayer.index(x, y, inputDim)] * inputData[x];
                });
              });
              return passback;
            }, indata.addRef(), delta.addRef()))
            .toArray(Tensor[]::new));
        DeltaSet buffer1 = buffer == null ? null : buffer.addRef();
        this.accumulator.accept(buffer1, tensorArray);
      }
      delta.freeRef();
      if (null != buffer)
        buffer.freeRef();
    }

    public @SuppressWarnings("unused")
    void _free() {
      super._free();
      accumulator.freeRef();
      indata.freeRef();
    }
  }
}