// Copyright (c) FIRST and other WPILib contributors.
// Open Source Software; you can modify and/or share it under the terms of
// the WPILib BSD license file in the root directory of this project.

package edu.wpi.first.math;

import edu.wpi.first.math.numbers.N1;
import java.util.Objects;
import org.ejml.MatrixDimensionException;
import org.ejml.data.DMatrixRMaj;
import org.ejml.dense.row.CommonOps_DDRM;
import org.ejml.dense.row.MatrixFeatures_DDRM;
import org.ejml.dense.row.NormOps_DDRM;
import org.ejml.dense.row.factory.DecompositionFactory_DDRM;
import org.ejml.interfaces.decomposition.CholeskyDecomposition_F64;
import org.ejml.simple.SimpleMatrix;

/**
 * A shape-safe wrapper over Efficient Java Matrix Library (EJML) matrices.
 *
 * <p>This class is intended to be used alongside the state space library.
 *
 * @param <R> The number of rows in this matrix.
 * @param <C> The number of columns in this matrix.
 */
@SuppressWarnings("PMD.ExcessivePublicCount")
public class Matrix<R extends Num, C extends Num> {
  protected final SimpleMatrix m_storage;

  /**
   * Constructs an empty zero matrix of the given dimensions.
   *
   * @param rows The number of rows of the matrix.
   * @param columns The number of columns of the matrix.
   */
  public Matrix(Nat<R> rows, Nat<C> columns) {
    this.m_storage =
        new SimpleMatrix(
            Objects.requireNonNull(rows).getNum(), Objects.requireNonNull(columns).getNum());
  }

  /**
   * Constructs a new {@link Matrix} with the given storage. Caller should make sure that the
   * provided generic bounds match the shape of the provided {@link Matrix}.
   *
   * <p>NOTE:It is not recommend to use this constructor unless the {@link SimpleMatrix} API is
   * absolutely necessary due to the desired function not being accessible through the {@link
   * Matrix} wrapper.
   *
   * @param storage The {@link SimpleMatrix} to back this value.
   */
  public Matrix(SimpleMatrix storage) {
    this.m_storage = Objects.requireNonNull(storage);
  }

  /**
   * Constructs a new matrix with the storage of the supplied matrix.
   *
   * @param other The {@link Matrix} to copy the storage of.
   */
  public Matrix(Matrix<R, C> other) {
    this.m_storage = Objects.requireNonNull(other).getStorage().copy();
  }

  /**
   * Gets the underlying {@link SimpleMatrix} that this {@link Matrix} wraps.
   *
   * <p>NOTE:The use of this method is heavily discouraged as this removes any guarantee of type
   * safety. This should only be called if the {@link SimpleMatrix} API is absolutely necessary due
   * to the desired function not being accessible through the {@link Matrix} wrapper.
   *
   * @return The underlying {@link SimpleMatrix} storage.
   */
  public SimpleMatrix getStorage() {
    return m_storage;
  }

  /**
   * Gets the number of columns in this matrix.
   *
   * @return The number of columns, according to the internal storage.
   */
  public final int getNumCols() {
    return this.m_storage.numCols();
  }

  /**
   * Gets the number of rows in this matrix.
   *
   * @return The number of rows, according to the internal storage.
   */
  public final int getNumRows() {
    return this.m_storage.numRows();
  }

  /**
   * Get an element of this matrix.
   *
   * @param row The row of the element.
   * @param col The column of the element.
   * @return The element in this matrix at row,col.
   */
  public final double get(int row, int col) {
    return this.m_storage.get(row, col);
  }

  /**
   * Sets the value at the given indices.
   *
   * @param row The row of the element.
   * @param col The column of the element.
   * @param value The value to insert at the given location.
   */
  public final void set(int row, int col, double value) {
    this.m_storage.set(row, col, value);
  }

  /**
   * Sets a row to a given row vector.
   *
   * @param row The row to set.
   * @param val The row vector to set the given row to.
   */
  public final void setRow(int row, Matrix<N1, C> val) {
    this.m_storage.setRow(row, 0, Objects.requireNonNull(val).m_storage.getDDRM().getData());
  }

  /**
   * Sets a column to a given column vector.
   *
   * @param column The column to set.
   * @param val The column vector to set the given row to.
   */
  public final void setColumn(int column, Matrix<R, N1> val) {
    this.m_storage.setColumn(column, 0, Objects.requireNonNull(val).m_storage.getDDRM().getData());
  }

  /**
   * Sets all the elements in "this" matrix equal to the specified value.
   *
   * @param value The value each element is set to.
   */
  public void fill(double value) {
    this.m_storage.fill(value);
  }

  /**
   * Returns the diagonal elements inside a vector or square matrix.
   *
   * <p>If "this" {@link Matrix} is a vector then a square matrix is returned. If a "this" {@link
   * Matrix} is a matrix then a vector of diagonal elements is returned.
   *
   * @return The diagonal elements inside a vector or a square matrix.
   */
  public final Matrix<R, C> diag() {
    return new Matrix<>(this.m_storage.diag());
  }

  /**
   * Returns the largest element of this matrix.
   *
   * @return The largest element of this matrix.
   */
  public final double max() {
    return CommonOps_DDRM.elementMax(this.m_storage.getDDRM());
  }

  /**
   * Returns the absolute value of the element in this matrix with the largest absolute value.
   *
   * @return The absolute value of the element with the largest absolute value.
   */
  public final double maxAbs() {
    return CommonOps_DDRM.elementMaxAbs(this.m_storage.getDDRM());
  }

  /**
   * Returns the smallest element of this matrix.
   *
   * @return The smallest element of this matrix.
   */
  public final double minInternal() {
    return CommonOps_DDRM.elementMin(this.m_storage.getDDRM());
  }

  /**
   * Calculates the mean of the elements in this matrix.
   *
   * @return The mean value of this matrix.
   */
  public final double mean() {
    return this.elementSum() / (double) this.m_storage.getNumElements();
  }

  /**
   * Multiplies this matrix with another that has C rows.
   *
   * <p>As matrix multiplication is only defined if the number of columns in the first matrix
   * matches the number of rows in the second, this operation will fail to compile under any other
   * circumstances.
   *
   * @param other The other matrix to multiply by.
   * @param <C2> The number of columns in the second matrix.
   * @return The result of the matrix multiplication between "this" and the given matrix.
   */
  public final <C2 extends Num> Matrix<R, C2> times(Matrix<C, C2> other) {
    return new Matrix<>(this.m_storage.mult(Objects.requireNonNull(other).m_storage));
  }

  /**
   * Multiplies all the elements of this matrix by the given scalar.
   *
   * @param value The scalar value to multiply by.
   * @return A new matrix with all the elements multiplied by the given value.
   */
  public Matrix<R, C> times(double value) {
    return new Matrix<>(this.m_storage.scale(value));
  }

  /**
   * Returns a matrix which is the result of an element by element multiplication of "this" and
   * other.
   *
   * <p>c<sub>i,j</sub> = a<sub>i,j</sub>*other<sub>i,j</sub>
   *
   * @param other The other {@link Matrix} to preform element multiplication on.
   * @return The element by element multiplication of "this" and other.
   */
  public final Matrix<R, C> elementTimes(Matrix<R, C> other) {
    return new Matrix<>(this.m_storage.elementMult(Objects.requireNonNull(other).m_storage));
  }

  /**
   * Subtracts the given value from all the elements of this matrix.
   *
   * @param value The value to subtract.
   * @return The resultant matrix.
   */
  public final Matrix<R, C> minus(double value) {
    return new Matrix<>(this.m_storage.minus(value));
  }

  /**
   * Subtracts the given matrix from this matrix.
   *
   * @param value The matrix to subtract.
   * @return The resultant matrix.
   */
  public final Matrix<R, C> minus(Matrix<R, C> value) {
    return new Matrix<>(this.m_storage.minus(Objects.requireNonNull(value).m_storage));
  }

  /**
   * Adds the given value to all the elements of this matrix.
   *
   * @param value The value to add.
   * @return The resultant matrix.
   */
  public final Matrix<R, C> plus(double value) {
    return new Matrix<>(this.m_storage.plus(value));
  }

  /**
   * Adds the given matrix to this matrix.
   *
   * @param value The matrix to add.
   * @return The resultant matrix.
   */
  public final Matrix<R, C> plus(Matrix<R, C> value) {
    return new Matrix<>(this.m_storage.plus(Objects.requireNonNull(value).m_storage));
  }

  /**
   * Divides all elements of this matrix by the given value.
   *
   * @param value The value to divide by.
   * @return The resultant matrix.
   */
  public Matrix<R, C> div(int value) {
    return new Matrix<>(this.m_storage.divide((double) value));
  }

  /**
   * Divides all elements of this matrix by the given value.
   *
   * @param value The value to divide by.
   * @return The resultant matrix.
   */
  public Matrix<R, C> div(double value) {
    return new Matrix<>(this.m_storage.divide(value));
  }

  /**
   * Calculates the transpose, M^T of this matrix.
   *
   * @return The transpose matrix.
   */
  public final Matrix<C, R> transpose() {
    return new Matrix<>(this.m_storage.transpose());
  }

  /**
   * Returns a copy of this matrix.
   *
   * @return A copy of this matrix.
   */
  public final Matrix<R, C> copy() {
    return new Matrix<>(this.m_storage.copy());
  }

  /**
   * Returns the inverse matrix of "this" matrix.
   *
   * @return The inverse of "this" matrix.
   * @throws org.ejml.data.SingularMatrixException If "this" matrix is non-invertable.
   */
  public final Matrix<R, C> inv() {
    return new Matrix<>(this.m_storage.invert());
  }

  /**
   * Returns the solution x to the equation Ax = b, where A is "this" matrix.
   *
   * <p>The matrix equation could also be written as x = A<sup>-1</sup>b. Where the pseudo inverse
   * is used if A is not square.
   *
   * @param b The right-hand side of the equation to solve.
   * @return The solution to the linear system.
   */
  @SuppressWarnings("ParameterName")
  public final <C2 extends Num> Matrix<C, C2> solve(Matrix<R, C2> b) {
    return new Matrix<>(this.m_storage.solve(Objects.requireNonNull(b).m_storage));
  }

  /**
   * Computes the matrix exponential using Eigen's solver. This method only works for square
   * matrices, and will otherwise throw an {@link MatrixDimensionException}.
   *
   * @return The exponential of A.
   */
  public final Matrix<R, C> exp() {
    if (this.getNumRows() != this.getNumCols()) {
      throw new MatrixDimensionException(
          "Non-square matrices cannot be exponentiated! "
              + "This matrix is "
              + this.getNumRows()
              + " x "
              + this.getNumCols());
    }
    Matrix<R, C> toReturn = new Matrix<>(new SimpleMatrix(this.getNumRows(), this.getNumCols()));
    WPIMathJNI.exp(
        this.m_storage.getDDRM().getData(),
        this.getNumRows(),
        toReturn.m_storage.getDDRM().getData());
    return toReturn;
  }

  /**
   * Computes the matrix power using Eigen's solver. This method only works for square matrices, and
   * will otherwise throw an {@link MatrixDimensionException}.
   *
   * @param exponent The exponent.
   * @return The exponential of A.
   */
  public final Matrix<R, C> pow(double exponent) {
    if (this.getNumRows() != this.getNumCols()) {
      throw new MatrixDimensionException(
          "Non-square matrices cannot be raised to a power! "
              + "This matrix is "
              + this.getNumRows()
              + " x "
              + this.getNumCols());
    }
    Matrix<R, C> toReturn = new Matrix<>(new SimpleMatrix(this.getNumRows(), this.getNumCols()));
    WPIMathJNI.pow(
        this.m_storage.getDDRM().getData(),
        this.getNumRows(),
        exponent,
        toReturn.m_storage.getDDRM().getData());
    return toReturn;
  }

  /**
   * Returns the determinant of this matrix.
   *
   * @return The determinant of this matrix.
   */
  public final double det() {
    return this.m_storage.determinant();
  }

  /**
   * Computes the Frobenius normal of the matrix.
   *
   * <p>normF = Sqrt{ &sum;<sub>i=1:m</sub> &sum;<sub>j=1:n</sub> { a<sub>ij</sub><sup>2</sup>} }
   *
   * @return The matrix's Frobenius normal.
   */
  public final double normF() {
    return this.m_storage.normF();
  }

  /**
   * Computes the induced p = 1 matrix norm.
   *
   * <p>||A||<sub>1</sub>= max(j=1 to n; sum(i=1 to m; |a<sub>ij</sub>|))
   *
   * @return The norm.
   */
  public final double normIndP1() {
    return NormOps_DDRM.inducedP1(this.m_storage.getDDRM());
  }

  /**
   * Computes the sum of all the elements in the matrix.
   *
   * @return Sum of all the elements.
   */
  public final double elementSum() {
    return this.m_storage.elementSum();
  }

  /**
   * Computes the trace of the matrix.
   *
   * @return The trace of the matrix.
   */
  public final double trace() {
    return this.m_storage.trace();
  }

  /**
   * Returns a matrix which is the result of an element by element power of "this" and b.
   *
   * <p>c<sub>i,j</sub> = a<sub>i,j</sub> ^ b
   *
   * @param b Scalar.
   * @return The element by element power of "this" and b.
   */
  @SuppressWarnings("ParameterName")
  public final Matrix<R, C> elementPower(double b) {
    return new Matrix<>(this.m_storage.elementPower(b));
  }

  /**
   * Returns a matrix which is the result of an element by element power of "this" and b.
   *
   * <p>c<sub>i,j</sub> = a<sub>i,j</sub> ^ b
   *
   * @param b Scalar.
   * @return The element by element power of "this" and b.
   */
  @SuppressWarnings("ParameterName")
  public final Matrix<R, C> elementPower(int b) {
    return new Matrix<>(this.m_storage.elementPower((double) b));
  }

  /**
   * Extracts a given row into a row vector with new underlying storage.
   *
   * @param row The row to extract a vector from.
   * @return A row vector from the given row.
   */
  public final Matrix<N1, C> extractRowVector(int row) {
    return new Matrix<>(this.m_storage.extractVector(true, row));
  }

  /**
   * Extracts a given column into a column vector with new underlying storage.
   *
   * @param column The column to extract a vector from.
   * @return A column vector from the given column.
   */
  public final Matrix<R, N1> extractColumnVector(int column) {
    return new Matrix<>(this.m_storage.extractVector(false, column));
  }

  /**
   * Extracts a matrix of a given size and start position with new underlying storage.
   *
   * @param height The number of rows of the extracted matrix.
   * @param width The number of columns of the extracted matrix.
   * @param startingRow The starting row of the extracted matrix.
   * @param startingCol The starting column of the extracted matrix.
   * @return The extracted matrix.
   */
  public final <R2 extends Num, C2 extends Num> Matrix<R2, C2> block(
      Nat<R2> height, Nat<C2> width, int startingRow, int startingCol) {
    return new Matrix<>(
        this.m_storage.extractMatrix(
            startingRow,
            Objects.requireNonNull(height).getNum() + startingRow,
            startingCol,
            Objects.requireNonNull(width).getNum() + startingCol));
  }

  /**
   * Assign a matrix of a given size and start position.
   *
   * @param startingRow The row to start at.
   * @param startingCol The column to start at.
   * @param other The matrix to assign the block to.
   */
  public <R2 extends Num, C2 extends Num> void assignBlock(
      int startingRow, int startingCol, Matrix<R2, C2> other) {
    this.m_storage.insertIntoThis(
        startingRow, startingCol, Objects.requireNonNull(other).m_storage);
  }

  /**
   * Extracts a submatrix from the supplied matrix and inserts it in a submatrix in "this". The
   * shape of "this" is used to determine the size of the matrix extracted.
   *
   * @param startingRow The starting row in the supplied matrix to extract the submatrix.
   * @param startingCol The starting column in the supplied matrix to extract the submatrix.
   * @param other The matrix to extract the submatrix from.
   */
  public <R2 extends Num, C2 extends Num> void extractFrom(
      int startingRow, int startingCol, Matrix<R2, C2> other) {
    CommonOps_DDRM.extract(
        other.m_storage.getDDRM(), startingRow, startingCol, this.m_storage.getDDRM());
  }

  /**
   * Decompose "this" matrix using Cholesky Decomposition. If the "this" matrix is zeros, it will
   * return the zero matrix.
   *
   * @param lowerTriangular Whether or not we want to decompose to the lower triangular Cholesky
   *     matrix.
   * @return The decomposed matrix.
   * @throws RuntimeException if the matrix could not be decomposed(ie. is not positive
   *     semidefinite).
   */
  @SuppressWarnings("PMD.AvoidThrowingRawExceptionTypes")
  public Matrix<R, C> lltDecompose(boolean lowerTriangular) {
    SimpleMatrix temp = m_storage.copy();

    CholeskyDecomposition_F64<DMatrixRMaj> chol =
        DecompositionFactory_DDRM.chol(temp.numRows(), lowerTriangular);
    if (!chol.decompose(temp.getMatrix())) {
      // check that the input is not all zeros -- if they are, we special case and return all
      // zeros.
      var matData = temp.getDDRM().data;
      var isZeros = true;
      for (double matDatum : matData) {
        isZeros &= Math.abs(matDatum) < 1e-6;
      }
      if (isZeros) {
        return new Matrix<>(new SimpleMatrix(temp.numRows(), temp.numCols()));
      }

      throw new RuntimeException(
          "Cholesky decomposition failed! Input matrix:\n" + m_storage.toString());
    }

    return new Matrix<>(SimpleMatrix.wrap(chol.getT(null)));
  }

  /**
   * Returns the row major data of this matrix as a double array.
   *
   * @return The row major data of this matrix as a double array.
   */
  public double[] getData() {
    return m_storage.getDDRM().getData();
  }

  /**
   * Creates the identity matrix of the given dimension.
   *
   * @param dim The dimension of the desired matrix as a {@link Nat}.
   * @param <D> The dimension of the desired matrix as a generic.
   * @return The DxD identity matrix.
   */
  public static <D extends Num> Matrix<D, D> eye(Nat<D> dim) {
    return new Matrix<>(SimpleMatrix.identity(Objects.requireNonNull(dim).getNum()));
  }

  /**
   * Creates the identity matrix of the given dimension.
   *
   * @param dim The dimension of the desired matrix as a {@link Num}.
   * @param <D> The dimension of the desired matrix as a generic.
   * @return The DxD identity matrix.
   */
  public static <D extends Num> Matrix<D, D> eye(D dim) {
    return new Matrix<>(SimpleMatrix.identity(Objects.requireNonNull(dim).getNum()));
  }

  /**
   * Entrypoint to the {@link MatBuilder} class for creation of custom matrices with the given
   * dimensions and contents.
   *
   * @param rows The number of rows of the desired matrix.
   * @param cols The number of columns of the desired matrix.
   * @param <R> The number of rows of the desired matrix as a generic.
   * @param <C> The number of columns of the desired matrix as a generic.
   * @return A builder to construct the matrix.
   */
  public static <R extends Num, C extends Num> MatBuilder<R, C> mat(Nat<R> rows, Nat<C> cols) {
    return new MatBuilder<>(Objects.requireNonNull(rows), Objects.requireNonNull(cols));
  }

  /**
   * Reassigns dimensions of a {@link Matrix} to allow for operations with other matrices that have
   * wildcard dimensions.
   *
   * @param mat The {@link Matrix} to remove the dimensions from.
   * @return The matrix with reassigned dimensions.
   */
  public static <R1 extends Num, C1 extends Num> Matrix<R1, C1> changeBoundsUnchecked(
      Matrix<?, ?> mat) {
    return new Matrix<>(mat.m_storage);
  }

  /**
   * Checks if another {@link Matrix} is identical to "this" one within a specified tolerance.
   *
   * <p>This will check if each element is in tolerance of the corresponding element from the other
   * {@link Matrix} or if the elements have the same symbolic meaning. For two elements to have the
   * same symbolic meaning they both must be either Double.NaN, Double.POSITIVE_INFINITY, or
   * Double.NEGATIVE_INFINITY.
   *
   * <p>NOTE:It is recommend to use {@link Matrix#isEqual(Matrix, double)} over this method when
   * checking if two matrices are equal as {@link Matrix#isEqual(Matrix, double)} will return false
   * if an element is uncountable. This method should only be used when uncountable elements need to
   * compared.
   *
   * @param other The {@link Matrix} to check against this one.
   * @param tolerance The tolerance to check equality with.
   * @return true if this matrix is identical to the one supplied.
   */
  public boolean isIdentical(Matrix<?, ?> other, double tolerance) {
    return MatrixFeatures_DDRM.isIdentical(
        this.m_storage.getDDRM(), other.m_storage.getDDRM(), tolerance);
  }

  /**
   * Checks if another {@link Matrix} is equal to "this" within a specified tolerance.
   *
   * <p>This will check if each element is in tolerance of the corresponding element from the other
   * {@link Matrix}.
   *
   * <p>tol &ge; |a<sub>ij</sub> - b<sub>ij</sub>|
   *
   * @param other The {@link Matrix} to check against this one.
   * @param tolerance The tolerance to check equality with.
   * @return true if this matrix is equal to the one supplied.
   */
  public boolean isEqual(Matrix<?, ?> other, double tolerance) {
    return MatrixFeatures_DDRM.isEquals(
        this.m_storage.getDDRM(), other.m_storage.getDDRM(), tolerance);
  }

  @Override
  public String toString() {
    return m_storage.toString();
  }

  /**
   * Checks if an object is equal to this {@link Matrix}.
   *
   * <p>a<sub>ij</sub> == b<sub>ij</sub>
   *
   * @param other The Object to check against this {@link Matrix}.
   * @return true if the object supplied is a {@link Matrix} and is equal to this matrix.
   */
  @Override
  public boolean equals(Object other) {
    if (this == other) {
      return true;
    }
    if (!(other instanceof Matrix)) {
      return false;
    }

    Matrix<?, ?> matrix = (Matrix<?, ?>) other;
    if (MatrixFeatures_DDRM.hasUncountable(matrix.m_storage.getDDRM())) {
      return false;
    }
    return MatrixFeatures_DDRM.isEquals(this.m_storage.getDDRM(), matrix.m_storage.getDDRM());
  }

  @Override
  public int hashCode() {
    return Objects.hash(m_storage);
  }
}