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package com.pgvector;

import java.io.Serializable;

import java.sql.Connection;

import java.sql.SQLException;

import java.util.Arrays;

import java.util.ArrayList;

import java.util.List;

import java.util.Map;

import java.util.Objects;

import org.postgresql.PGConnection;

import org.postgresql.util.ByteConverter;

import org.postgresql.util.PGBinaryObject;

import org.postgresql.util.PGobject;

/**

* A sparse vector.

public class PGsparsevec extends PGobject implements PGBinaryObject, Serializable, Cloneable {

private int dimensions;

private int[] indices;

private float[] values;

/**

* @hidden

public PGsparsevec() {

type = "sparsevec";

}

/**

* Creates a sparse vector from an array.

* @param v float array

public PGsparsevec(float[] v) {

this();

int nnz = 0;

for (int i = 0; i < v.length; i++) {

if (v[i] != 0) {

nnz++;

}

dimensions = v.length;

indices = new int[nnz];

values = new float[nnz];

int j = 0;

for (int i = 0; i < v.length; i++) {

if (v[i] != 0) {

indices[j] = i;

values[j] = v[i];

j++;

}

/**

* Creates a sparse vector from a list.

* @param <T> number

* @param v list of numbers

public <T extends Number> PGsparsevec(List<T> v) {

this();

if (Objects.isNull(v)) {

indices = null;

} else {

int nnz = 0;

for (T f : v) {

if (f.floatValue() != 0) {

nnz++;

}

dimensions = v.size();

indices = new int[nnz];

values = new float[nnz];

int i = 0;

int j = 0;

for (T f : v) {

float fv = f.floatValue();

if (fv != 0) {

indices[j] = i;

values[j] = fv;

j++;

}

i++;

}

/**

* Creates a sparse vector from a map of non-zero elements.

* <p>

* Indices start at 0.

* @param <T> number

* @param map map of non-zero elements

* @param dimensions number of dimensions

public <T extends Number> PGsparsevec(Map<Integer, T> map, int dimensions) {

this();

ArrayList<Map.Entry<Integer, T>> elements = new ArrayList<Map.Entry<Integer, T>>();

if (!Objects.isNull(map)) {

elements.addAll(map.entrySet());

}

elements.removeIf((e) -> e.getValue().floatValue() == 0);

elements.sort((a, b) -> Integer.compare(a.getKey(), b.getKey()));

int nnz = elements.size();

indices = new int[nnz];

values = new float[nnz];

int i = 0;

for (Map.Entry<Integer, T> e : elements) {

indices[i] = e.getKey().intValue();

values[i] = e.getValue().floatValue();

i++;

}

this.dimensions = dimensions;

}

/**

* Creates a sparse vector from a text representation.

* @param s text representation of a sparse vector

* @throws SQLException exception

public PGsparsevec(String s) throws SQLException {

this();

setValue(s);

}

/**

* Sets the value from a text representation of a sparse vector.

public void setValue(String s) throws SQLException {

if (s == null) {

indices = null;

} else {

String[] sp = s.split("/", 2);

String[] elements = sp[0].substring(1, sp[0].length() - 1).split(",");

dimensions = Integer.parseInt(sp[1]);

indices = new int[elements.length];

values = new float[elements.length];

for (int i = 0; i < elements.length; i++) {

String[] ep = elements[i].split(":", 2);

indices[i] = Integer.parseInt(ep[0]) - 1;

values[i] = Float.parseFloat(ep[1]);

}

/**

* Returns the text representation of a sparse vector.

public String getValue() {

if (indices == null) {

return null;

} else {

StringBuilder sb = new StringBuilder(13 + 27 * indices.length);

sb.append('{');

for (int i = 0; i < indices.length; i++) {

if (i > 0) {

sb.append(',');

}

sb.append(indices[i] + 1);

sb.append(':');

sb.append(values[i]);

}

sb.append('}');

sb.append('/');

sb.append(dimensions);

return sb.toString();

}

/**

* Returns the number of bytes for the binary representation.

public int lengthInBytes() {

return indices == null ? 0 : 12 + indices.length * 4 + values.length * 4;

}

/**

* Sets the value from a binary representation of a sparse vector.

public void setByteValue(byte[] value, int offset) throws SQLException {

dimensions = ByteConverter.int4(value, offset);

int nnz = ByteConverter.int4(value, offset + 4);

int unused = ByteConverter.int4(value, offset + 8);

if (unused != 0) {

throw new SQLException("expected unused to be 0");

}

indices = new int[nnz];

for (int i = 0; i < nnz; i++) {

indices[i] = ByteConverter.int4(value, offset + 12 + i * 4);

}

values = new float[nnz];

for (int i = 0; i < nnz; i++) {

values[i] = ByteConverter.float4(value, offset + 12 + nnz * 4 + i * 4);

}

/**

* Writes the binary representation of a sparse vector.

public void toBytes(byte[] bytes, int offset) {

if (indices == null) {

return;

}

// server will error on overflow due to unconsumed buffer

// could set to Integer.MAX_VALUE for friendlier error message

ByteConverter.int4(bytes, offset, dimensions);

ByteConverter.int4(bytes, offset + 4, indices.length);

ByteConverter.int4(bytes, offset + 8, 0);

for (int i = 0; i < indices.length; i++) {

ByteConverter.int4(bytes, offset + 12 + i * 4, indices[i]);

}

for (int i = 0; i < values.length; i++) {

ByteConverter.float4(bytes, offset + 12 + indices.length * 4 + i * 4, values[i]);

}

/**

* Returns an array.

* @return an array

public float[] toArray() {

if (indices == null) {

return null;

}

float[] vec = new float[dimensions];

for (int i = 0; i < indices.length; i++) {

vec[indices[i]] = values[i];

}

return vec;

}

/**

* Returns the number of dimensions.

* @return the number of dimensions

public int getDimensions() {

return dimensions;

}

/**

* Returns the non-zero indices.

* @return the non-zero indices

public int[] getIndices() {

return indices;

}

/**

* Returns the non-zero values.

* @return the non-zero values

public float[] getValues() {

return values;

}

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