本文整理汇总了C++中table::size方法的典型用法代码示例。如果您正苦于以下问题：C++ table::size方法的具体用法？C++ table::size怎么用？C++ table::size使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类table的用法示例。
在下文中一共展示了table::size方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: contains
bool contains(const table& tbl, int val)
{ // return true if tbl contains val
int hash_val = hash(val) % tbl.size();
bucket::const_iterator first = tbl[hash_val].begin();
bucket::const_iterator last = tbl[hash_val].end();
return find(first, last, val) != last;
}示例2: add_gradient
/**
* Adds the gradient of the expected log-likelihood of the specified
* data point to the gradient table g.
*
* \param phead the distribution over a leading set of indices of f
* \param tail a fixed assignment to the remaining indices of f
* \param w the weight of the data point
*/
void add_gradient(const table<T>& phead, const uint_vector& tail, T w,
table<T>& g) const {
assert(phead.arity() + tail.size() == g.arity());
std::size_t index = g.offset().linear(tail, phead.arity());
for (std::size_t i = 0; i < phead.size(); ++i) {
g[index + i] += phead[i] * w;
}
}示例3: add_hessian_diag
/**
* Adds the diagonal of the Hessia of the expected log-likelihoood of
* the specified data point to the Hessian diagonal h.
*/
void add_hessian_diag(const table<T>& phead, const uint_vector& tail, T w,
table<T>& h) const {
assert(phead.arity() + tail.size() == h.arity());
std::size_t index = h.offset().linear(tail, phead.arity());
for (std::size_t i = 0; i < phead.size(); ++i) {
h[index + i] -= phead[i] * w / (f[index + i] * f[index + i]);
}
}示例4: show
void show(const table& tbl)
{ // show contents of buckets in table
for (int i = 0; i < tbl.size(); ++i)
{ // show contents of bucket i
cout << "bucket " << setw(2) << i << ": ";
copy(tbl[i].begin(), tbl[i].end(),
ostream_iterator<int>(cout, " "));
cout << '\n';
}
}示例5: insert
void insert(table& tbl, int val)
{ // insert val into table
size_t hash_val = hash(val) % tbl.size();
tbl[hash_val].push_back(val);
}示例6: restrict
/**
* Restricts the given table to an assignment to all the dimensions
* >= n, where n is the arity of this table. The parameter x_start is
* the linear index of the first element in the input table that should
* be copied. This table must be preallocated, and its first n
* dimensions must match the first n dimensions of the input table.
*/
void restrict(const table& x, std::size_t x_start) {
assert(arity() <= x.arity());
assert(std::equal(shape_.begin(), shape_.end(), x.shape_.begin()));
assert(x_start + size() <= x.size());
std::copy(x.data() + x_start, x.data() + x_start + size(), data());
}