/
rowany.cc
83 lines (70 loc) · 2.73 KB
/
rowany.cc
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//------------------------------------------------------------------------------
// Copyright 2019-2022 H2O.ai
//
// Permission is hereby granted, free of charge, to any person obtaining a
// copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation
// the rights to use, copy, modify, merge, publish, distribute, sublicense,
// and/or sell copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
// IN THE SOFTWARE.
//------------------------------------------------------------------------------
#include <algorithm>
#include "column/const.h"
#include "column/func_nary.h"
#include "documentation.h"
#include "expr/fnary/fnary.h"
#include "python/xargs.h"
namespace dt {
namespace expr {
std::string FExpr_RowAny::name() const {
return "rowany";
}
static bool op_rowany(size_t i, int8_t* out, const colvec& columns) {
for (const auto& col : columns) {
int8_t x;
bool xvalid = col.get_element(i, &x);
if (xvalid && x) {
*out = 1;
return true;
}
}
*out = 0;
return true;
}
Column FExpr_RowAny::apply_function(colvec&& columns,
const size_t nrows,
const size_t ncols) const
{
// No columns or all the columns are void
if (columns.empty()) {
// `ncols == 0` tests that the original input frame had no columns
return Const_ColumnImpl::make_bool_column(nrows, ncols == 0);
}
for (size_t i = 0; i < columns.size(); ++i) {
xassert(columns[i].nrows() == nrows);
if (!columns[i].type().is_boolean()) {
throw TypeError() << "Function `rowany` requires a sequence of boolean "
"columns, however column " << i << " has type `"
<< columns[i].stype() << "`";
}
}
return Column(new FuncNary_ColumnImpl<int8_t>(
std::move(columns), op_rowany, nrows, SType::BOOL));
}
DECLARE_PYFN(&py_rowfn)
->name("rowany")
->docs(doc_dt_rowany)
->allow_varargs()
->add_info(FN_ROWANY);
}} // namespace dt::expr