/*
* Copyright 2011 Google Inc.
*
* Use of this source code is governed by a BSD-style license that can be
* found in the LICENSE file.
*/
#include "Test.h"
// Include the implementation so we can make an appropriate template instance.
#include "SkAdvancedTypefaceMetrics.cpp"
using namespace skia_advanced_typeface_metrics_utils;
namespace {
// Negative values and zeros in a range plus trailing zeros.
// 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14
const int16_t data1[] = {-1, 0, -3, 4, 5, 6, 7, 0, 0, 0, 8, 0, 0, 0, 0};
const char* expected1 = "0[-1 0 -3 4 5 6 7 0 0 0 8]";
// Run with leading and trailing zeros.
// Test rules: d 0 1 2 3 4 5 6 7 8 9 10 11
const int16_t data2[] = {0, 0, 0, 100, 100, 100, 100, 100, 100, 100, 0, 0};
const char* expected2 = "3 9 100";
// Removing 0's from a range.
// Test rules: a 0 1 2 3 4 5 6 7 8 9 10 11
const int16_t data3[] = {1, 2, 0, 0, 0, 3, 4, 0, 0, 0, 0, 5};
const char* expected3 = "0[1 2 0 0 0 3 4] 11[5]";
// Removing 0's from a run/range and between runs.
// Test rules: a, b 0 1 2 3 4 5 6 7 8 9 10 11 12 14 15
const int16_t data4[] = {1, 0, 0, 0, 1, 2, 2, 2, 3, 0, 0, 0, 0, 3, 4};
const char* expected4 = "0[1 0 0 0 1] 5 7 2 8[3] 13[3 4]";
// Runs that starts outside a range.
// Test rules: a, e 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
const int16_t data5[] = {1, 1, 2, 3, 0, 0, 0, 0, 5, 5, 6, 7, 0, 0, 0, 0, 8, 0};
const char* expected5 = "0 1 1 2[2 3] 8 9 5 10[6 7] 16[8]";
// Zeros and runs that should be broken out.
// Test rules: a, b, e 0 1 2 3 4 5 6 7 8 9 10 11 12 13
const int16_t data6[] = {1, 0, 0, 0, 0, 1, 2, 3, 3, 4, 5, 5, 5, 6};
const char* expected6 = "0[1] 5[1 2 3 3 4] 10 12 5 13[6]";
// Don't cares that aren't enough to break out a run.
// Test rules: c 0 1 2 3 4 5
const int16_t data7[] = {1, 2, 10, 11, 2, 3};
const char* expected7 = "0[1 2 10 11 2 3]";
const uint32_t subset7[] = {0, 1, 4, 5};
const char* expectedSubset7 = "0[1 2 0 0 2 3]";
// Don't cares that are enough to break out a run.
// Test rules: c 0 1 2 3 4 5 6
const int16_t data8[] = {1, 2, 10, 11, 12, 2, 3};
const char* expected8 = "0[1 2 10 11 12 2 3]";
const uint32_t subset8[] = {0, 1, 5, 6};
const char* expectedSubset8 = "0[1] 1 5 2 6[3]";
// Leading don't cares.
// Test rules: d 0 1 2 3 4
const int16_t data9[] = {1, 1, 10, 2, 3};
const char* expected9 = "0 1 1 2[10 2 3]";
const uint32_t subset9[] = {0, 1, 3, 4};
const char* expectedSubset9 = "0 1 1 3[2 3]";
// Almost run of don't cares inside a range.
// Test rules: c 0 1 2 3 4 5
const int16_t data10[] = {1, 2, 10, 11, 12, 3};
const char* expected10 = "0[1 2 10 11 12 3]";
const uint32_t subset10[] = {0, 1, 5};
const char* expectedSubset10 = "0[1 2 0 0 0 3]";
// Run of don't cares inside a range.
// Test rules: c 0 1 2 3 4 5 6
const int16_t data11[] = {1, 2, 10, 11, 12, 13, 3};
const char* expected11 = "0[1 2 10 11 12 13 3]";
const uint32_t subset11[] = {0, 1, 6};
const char* expectedSubset11 = "0[1 2] 6[3]";
// Almost run within a range with leading don't cares.
// Test rules: c 0 1 2 3 4 5 6
const int16_t data12[] = {1, 10, 11, 2, 12, 13, 3};
const char* expected12 = "0[1 10 11 2 12 13 3]";
const uint32_t subset12[] = {0, 3, 6};
const char* expectedSubset12 = "0[1 0 0 2 0 0 3]";
// Run within a range with leading don't cares.
// Test rules: c 0 1 2 3 4 5 6 7
const int16_t data13[] = {1, 10, 11, 2, 2, 12, 13, 3};
const char* expected13 = "0[1 10 11 2 2 12 13 3]";
const uint32_t subset13[] = {0, 3, 4, 7};
const char* expectedSubset13 = "0[1] 1 6 2 7[3]";
// Enough don't cares to breakup something.
// Test rules: a 0 1 2 3 4 5
const int16_t data14[] = {1, 0, 0, 0, 0, 2};
const char* expected14 = "0[1] 5[2]";
const uint32_t subset14[] = {0, 5};
const char* expectedSubset14 = "0[1] 5[2]";
}
static SkString stringify_advance_data(
SkAdvancedTypefaceMetrics::AdvanceMetric<int16_t>* data) {
SkString result;
bool leadingSpace = false;
while (data != NULL) {
if (leadingSpace) {
result.append(" ");
} else {
leadingSpace = true;
}
switch(data->fType) {
case SkAdvancedTypefaceMetrics::AdvanceMetric<int16_t>::kRun:
result.appendf("%d %d %d", data->fStartId, data->fEndId,
data->fAdvance[0]);
break;
case SkAdvancedTypefaceMetrics::AdvanceMetric<int16_t>::kRange:
result.appendf("%d[", data->fStartId);
for (int i = 0; i < data->fAdvance.count(); ++i) {
if (i > 0) {
result.append(" ");
}
result.appendf("%d", data->fAdvance[i]);
}
result.append("]");
break;
case SkAdvancedTypefaceMetrics::AdvanceMetric<int16_t>::kDefault:
result.appendf("<Default=%d>", data->fAdvance[0]);
break;
}
data = data->fNext.get();
}
return result;
}
class TestWData {
public:
TestWData(skiatest::Reporter* reporter,
const int16_t advances[],
int advanceLen,
const uint32_t subset[],
int subsetLen,
const char* expected)
: fAdvances(advances)
, fAdvancesLen(advanceLen)
, fSubset(subset)
, fSubsetLen(subsetLen)
, fExpected(expected) {
REPORTER_ASSERT(reporter, RunTest());
}
private:
const int16_t* fAdvances;
const int fAdvancesLen;
const uint32_t* fSubset;
const int fSubsetLen;
const char* fExpected;
static bool getAdvance(TestWData* testCase, int gId, int16_t* advance) {
if (gId >= 0 && gId < testCase->fAdvancesLen) {
*advance = testCase->fAdvances[gId];
return true;
}
return false;
}
bool RunTest() {
SkTScopedPtr<SkAdvancedTypefaceMetrics::AdvanceMetric<int16_t> > result;
result.reset(getAdvanceData(this, fAdvancesLen, fSubset, fSubsetLen,
getAdvance));
SkString stringResult = stringify_advance_data(result.get());
if (!stringResult.equals(fExpected)) {
printf("Expected: %s\n Result: %s\n", fExpected,
stringResult.c_str());
return false;
}
return true;
}
};
static void TestWArray(skiatest::Reporter* reporter) {
TestWData(reporter, data1, SK_ARRAY_COUNT(data1), NULL, 0, expected1);
TestWData(reporter, data2, SK_ARRAY_COUNT(data2), NULL, 0, expected2);
TestWData(reporter, data3, SK_ARRAY_COUNT(data3), NULL, 0, expected3);
TestWData(reporter, data4, SK_ARRAY_COUNT(data4), NULL, 0, expected4);
TestWData(reporter, data5, SK_ARRAY_COUNT(data5), NULL, 0, expected5);
TestWData(reporter, data6, SK_ARRAY_COUNT(data6), NULL, 0, expected6);
TestWData(reporter, data7, SK_ARRAY_COUNT(data7), NULL, 0, expected7);
TestWData(reporter, data7, SK_ARRAY_COUNT(data7), subset7,
SK_ARRAY_COUNT(subset7), expectedSubset7);
TestWData(reporter, data8, SK_ARRAY_COUNT(data8), NULL, 0, expected8);
TestWData(reporter, data8, SK_ARRAY_COUNT(data8), subset8,
SK_ARRAY_COUNT(subset8), expectedSubset8);
TestWData(reporter, data9, SK_ARRAY_COUNT(data9), NULL, 0, expected9);
TestWData(reporter, data9, SK_ARRAY_COUNT(data9), subset9,
SK_ARRAY_COUNT(subset9), expectedSubset9);
TestWData(reporter, data10, SK_ARRAY_COUNT(data10), NULL, 0, expected10);
TestWData(reporter, data10, SK_ARRAY_COUNT(data10), subset10,
SK_ARRAY_COUNT(subset10), expectedSubset10);
TestWData(reporter, data11, SK_ARRAY_COUNT(data11), NULL, 0, expected11);
TestWData(reporter, data11, SK_ARRAY_COUNT(data11), subset11,
SK_ARRAY_COUNT(subset11), expectedSubset11);
TestWData(reporter, data12, SK_ARRAY_COUNT(data12), NULL, 0, expected12);
TestWData(reporter, data12, SK_ARRAY_COUNT(data12), subset12,
SK_ARRAY_COUNT(subset12), expectedSubset12);
TestWData(reporter, data13, SK_ARRAY_COUNT(data13), NULL, 0, expected13);
TestWData(reporter, data13, SK_ARRAY_COUNT(data13), subset13,
SK_ARRAY_COUNT(subset13), expectedSubset13);
TestWData(reporter, data14, SK_ARRAY_COUNT(data14), NULL, 0, expected14);
TestWData(reporter, data14, SK_ARRAY_COUNT(data14), subset14,
SK_ARRAY_COUNT(subset14), expectedSubset14);
}
#include "TestClassDef.h"
DEFINE_TESTCLASS("WArray", WArrayTest, TestWArray)