void WSortView::FillData(unsigned int schema, size_t arraysize)
{
if (arraysize == 0) arraysize = 1;
ResetArray(arraysize);
if (schema == 0) // Shuffle of [1,n]
{
for (size_t i = 0; i < m_array.size(); ++i)
m_array[i] = ArrayItem(i+1);
std::random_shuffle(m_array.begin(), m_array.end());
}
else if (schema == 1) // Ascending [1,n]
{
for (size_t i = 0; i < m_array.size(); ++i)
m_array[i] = ArrayItem(i+1);
}
else if (schema == 2) // Descending [1,n]
{
for (size_t i = 0; i < m_array.size(); ++i)
m_array[i] = ArrayItem(m_array.size() - i);
}
else if (schema == 3) // Cubic skew of [1,n]
{
for (size_t i = 0; i < m_array.size(); ++i)
{
// normalize to [-1,+1]
double x = (2.0 * (double)i / m_array.size()) - 1.0;
// calculate x^3
double v = x * x * x;
// normalize to array size
double w = (v + 1.0) / 2.0 * arraysize + 1;
// decrease resolution for more equal values
w /= 3.0;
m_array[i] = ArrayItem(w + 1);
}
std::random_shuffle(m_array.begin(), m_array.end());
}
else if (schema == 4) // Quintic skew of [1,n]
{
for (size_t i = 0; i < m_array.size(); ++i)
{
// normalize to [-1,+1]
double x = (2.0 * (double)i / m_array.size()) - 1.0;
// calculate x^5
double v = x * x * x * x * x;
// normalize to array size
double w = (v + 1.0) / 2.0 * arraysize + 1;
// decrease resolution for more equal values
w /= 3.0;
m_array[i] = ArrayItem(w + 1);
}
std::random_shuffle(m_array.begin(), m_array.end());
}
else if (schema == 5) // shuffled n-2 equal values in [1,n]
{
m_array[0] = ArrayItem(1);
for (size_t i = 1; i < m_array.size()-1; ++i)
{
m_array[i] = ArrayItem( arraysize / 2 + 1 );
}
m_array[m_array.size()-1] = ArrayItem(arraysize);
std::random_shuffle(m_array.begin(), m_array.end());
}
else if (schema == 6) // almost sorted values in [1,n]
{
for (size_t i = 0; i < m_array.size(); ++i)
m_array[i] = ArrayItem(i+1);
auto arraysize = m_array.size();
std::uniform_int_distribution<std::size_t> dist{0, arraysize};
std::random_device gen;
std::size_t permutations = arraysize / 30; // magic numbers ftw!
for(std::size_t i=0; i < permutations; ++i)
std::swap(m_array[dist(gen)], m_array[dist(gen)]);
}
else // fallback
{
return FillData(0, arraysize);
}
FinishFill();
}
void WSortView::ResetArray(size_t size)
{
m_array.resize(size, ArrayItem(0));
m_mark.resize(size);
}
void SortArray::FillData(unsigned int schema, size_t arraysize)
{
if (arraysize == 0) arraysize = 1;
ResetArray(arraysize);
if (schema == 0) // Shuffle of [1,n]
{
for (size_t i = 0; i < m_array.size(); ++i)
m_array[i] = ArrayItem(i+1);
std::random_shuffle(m_array.begin(), m_array.end());
}
else if (schema == 1) // Ascending [1,n]
{
for (size_t i = 0; i < m_array.size(); ++i)
m_array[i] = ArrayItem(i+1);
}
else if (schema == 2) // Descending [1,n]
{
for (size_t i = 0; i < m_array.size(); ++i)
m_array[i] = ArrayItem(m_array.size() - i);
}
else if (schema == 3) // Cubic skew of [1,n]
{
for (size_t i = 0; i < m_array.size(); ++i)
{
// normalize to [-1,+1]
double x = (2.0 * (double)i / m_array.size()) - 1.0;
// calculate x^3
double v = x * x * x;
// normalize to array size
double w = (v + 1.0) / 2.0 * arraysize + 1;
// decrease resolution for more equal values
w /= 3.0;
m_array[i] = ArrayItem(w + 1);
}
std::random_shuffle(m_array.begin(), m_array.end());
}
else if (schema == 4) // Quintic skew of [1,n]
{
for (size_t i = 0; i < m_array.size(); ++i)
{
// normalize to [-1,+1]
double x = (2.0 * (double)i / m_array.size()) - 1.0;
// calculate x^5
double v = x * x * x * x * x;
// normalize to array size
double w = (v + 1.0) / 2.0 * arraysize + 1;
// decrease resolution for more equal values
w /= 3.0;
m_array[i] = ArrayItem(w + 1);
}
std::random_shuffle(m_array.begin(), m_array.end());
}
else if (schema == 5) // shuffled n-2 equal values in [1,n]
{
m_array[0] = ArrayItem(1);
for (size_t i = 1; i < m_array.size()-1; ++i)
{
m_array[i] = ArrayItem( arraysize / 2 + 1 );
}
m_array[m_array.size()-1] = ArrayItem(arraysize);
std::random_shuffle(m_array.begin(), m_array.end());
}
else // fallback
{
return FillData(0, arraysize);
}
FinishFill();
}
