DataMatrixReedSolomon.java
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/*
* Decompiled with CFR 0_118.
*/
package com.adobe.xfa.pmp.datamatrixpmp;
import com.adobe.xfa.pmp.datamatrixpmp.DataMatrixEncoderErrorCode;
import com.adobe.xfa.pmp.datamatrixpmp.DataMatrixEncoderException;
import com.adobe.xfa.pmp.datamatrixpmp.DataMatrixInfo;
import java.util.List;
class DataMatrixReedSolomon {
private static final int GEN = 45;
private static int[] m_gfpwr = new int[1000];
private static int[] m_gflog = new int[1000];
static final int[] m_poly5 = new int[]{62, 111, 15, 48, 228};
static final int[] m_poly7 = new int[]{254, 92, 240, 134, 144, 68, 23};
static final int[] m_poly10 = new int[]{61, 110, 255, 116, 248, 223, 166, 185, 24, 28};
static final int[] m_poly11 = new int[]{120, 97, 60, 245, 39, 168, 194, 12, 205, 138, 175};
static final int[] m_poly12 = new int[]{242, 100, 178, 97, 213, 142, 42, 61, 91, 158, 153, 41};
static final int[] m_poly14 = new int[]{185, 83, 186, 18, 45, 138, 119, 157, 9, 95, 252, 192, 97, 156};
static final int[] m_poly18 = new int[]{188, 90, 48, 225, 254, 94, 129, 109, 213, 241, 61, 66, 75, 188, 39, 100, 195, 83};
static final int[] m_poly20 = new int[]{172, 186, 174, 27, 82, 108, 79, 253, 145, 153, 160, 188, 2, 168, 71, 233, 9, 244, 195, 15};
static final int[] m_poly24 = new int[]{193, 50, 96, 184, 181, 12, 124, 254, 172, 5, 21, 155, 223, 251, 197, 155, 21, 176, 39, 109, 205, 88, 190, 52};
static final int[] m_poly28 = new int[]{255, 93, 168, 233, 151, 120, 136, 141, 213, 110, 138, 17, 121, 249, 34, 75, 53, 170, 151, 37, 174, 103, 96, 71, 97, 43, 231, 211};
static final int[] m_poly36 = new int[]{112, 81, 98, 225, 25, 59, 184, 175, 44, 115, 119, 95, 137, 101, 33, 68, 4, 2, 18, 229, 182, 80, 251, 220, 179, 84, 120, 102, 181, 162, 250, 130, 218, 242, 127, 245};
static final int[] m_poly42 = new int[]{5, 9, 5, 226, 177, 150, 50, 69, 202, 248, 101, 54, 57, 253, 1, 21, 121, 57, 111, 214, 105, 167, 9, 100, 95, 175, 8, 242, 133, 245, 2, 122, 105, 247, 153, 22, 38, 19, 31, 137, 193, 77};
static final int[] m_poly48 = new int[]{19, 225, 253, 92, 213, 69, 175, 160, 147, 187, 87, 176, 44, 82, 240, 186, 138, 66, 100, 120, 88, 131, 205, 170, 90, 37, 23, 118, 147, 16, 106, 191, 87, 237, 188, 205, 231, 238, 133, 238, 22, 117, 32, 96, 223, 172, 132, 245};
static final int[] m_poly56 = new int[]{46, 143, 53, 233, 107, 203, 43, 155, 28, 247, 67, 127, 245, 137, 13, 164, 207, 62, 117, 201, 150, 22, 238, 144, 232, 29, 203, 117, 234, 218, 146, 228, 54, 132, 200, 38, 223, 36, 159, 150, 235, 215, 192, 230, 170, 175, 29, 100, 208, 220, 17, 12, 238, 223, 9, 175};
static final int[] m_poly62 = new int[]{204, 11, 47, 86, 124, 224, 166, 94, 7, 232, 107, 4, 170, 176, 31, 163, 17, 188, 130, 40, 10, 87, 63, 51, 218, 27, 6, 147, 44, 161, 71, 114, 64, 175, 221, 185, 106, 250, 190, 197, 63, 245, 230, 134, 112, 185, 37, 196, 108, 143, 189, 201, 188, 202, 118, 39, 210, 144, 50, 169, 93, 242};
static final int[] m_poly68 = new int[]{186, 82, 103, 96, 63, 132, 153, 108, 54, 64, 189, 211, 232, 49, 25, 172, 52, 59, 241, 181, 239, 223, 136, 231, 210, 96, 232, 220, 25, 179, 167, 202, 185, 153, 139, 66, 236, 227, 160, 15, 213, 93, 122, 68, 177, 158, 197, 234, 180, 248, 136, 213, 127, 73, 36, 154, 244, 147, 33, 89, 56, 159, 149, 251, 89, 173, 228, 220};
DataMatrixReedSolomon() {
}
static void initLogTables() {
int j;
for (j = 0; j < 256; ++j) {
DataMatrixReedSolomon.m_gflog[j] = 0;
}
int i = 1;
for (j = 0; j < 255; ++j) {
DataMatrixReedSolomon.m_gfpwr[j] = i;
DataMatrixReedSolomon.m_gflog[i] = j;
if ((i <<= 1) <= 255) continue;
i ^= 301;
}
}
static void addECC(List<Integer> data, int symbolSize) throws DataMatrixEncoderException {
int i;
int dsize = DataMatrixInfo.DATA_SYMBOLS[symbolSize];
int csize = DataMatrixInfo.CHECK_SYMBOLS[symbolSize];
int isize = DataMatrixInfo.NUM_INTERLEAVES[symbolSize];
for (i = 0; i < csize; ++i) {
data.add(0);
}
int[] p = null;
switch (csize / isize) {
case 5: {
p = m_poly5;
break;
}
case 7: {
p = m_poly7;
break;
}
case 10: {
p = m_poly10;
break;
}
case 11: {
p = m_poly11;
break;
}
case 12: {
p = m_poly12;
break;
}
case 14: {
p = m_poly14;
break;
}
case 18: {
p = m_poly18;
break;
}
case 20: {
p = m_poly20;
break;
}
case 24: {
p = m_poly24;
break;
}
case 28: {
p = m_poly28;
break;
}
case 36: {
p = m_poly36;
break;
}
case 42: {
p = m_poly42;
break;
}
case 48: {
p = m_poly48;
break;
}
case 56: {
p = m_poly56;
break;
}
case 62: {
p = m_poly62;
break;
}
case 68: {
p = m_poly68;
break;
}
default: {
throw new DataMatrixEncoderException(DataMatrixEncoderErrorCode.SYMBOL_SIZE);
}
}
for (int v = 0; v < isize; ++v) {
int dataBlockSize = dsize / isize + (symbolSize == DataMatrixInfo.Sizes.SIZE_144_144.value & v < 8 ? 1 : 0);
for (int n = 0; n < dataBlockSize; ++n) {
int t = data.get(v + dsize) ^ data.get(v + n * isize);
i = v + dsize;
int k = 0;
while (i < dsize + csize - isize) {
data.set(i, data.get(i + isize) ^ DataMatrixReedSolomon.GFmul(t, p[k]));
i += isize;
++k;
}
data.set(v + dsize + csize - isize, DataMatrixReedSolomon.GFmul(t, p[csize / isize - 1]));
}
}
}
static int GFmul(int p1, int p2) {
if (p1 == 0 || p2 == 0) {
return 0;
}
int i = m_gflog[p1] + m_gflog[p2];
if (i > 254) {
i -= 255;
}
i = m_gfpwr[i];
return i;
}
static int GFdiv(int p1, int p2) {
if (p2 == 0) {
return 0;
}
if (p1 == 0) {
return 0;
}
int i = m_gflog[p1] - m_gflog[p2];
if (i < 0) {
i += 255;
}
if (i > 254) {
i -= 255;
}
i = m_gfpwr[i];
return i;
}
static {
DataMatrixReedSolomon.initLogTables();
}
}