use num_traits::ToPrimitive;
use reifydb_core::value::column::data::ColumnData;
use reifydb_type::value::r#type::Type;
use crate::function::{
ScalarFunction, ScalarFunctionContext,
error::{ScalarFunctionError, ScalarFunctionResult},
propagate_options,
};
pub struct Exp;
impl Exp {
pub fn new() -> Self {
Self
}
}
fn numeric_to_f64(data: &ColumnData, i: usize) -> Option<f64> {
match data {
ColumnData::Int1(c) => c.get(i).map(|&v| v as f64),
ColumnData::Int2(c) => c.get(i).map(|&v| v as f64),
ColumnData::Int4(c) => c.get(i).map(|&v| v as f64),
ColumnData::Int8(c) => c.get(i).map(|&v| v as f64),
ColumnData::Int16(c) => c.get(i).map(|&v| v as f64),
ColumnData::Uint1(c) => c.get(i).map(|&v| v as f64),
ColumnData::Uint2(c) => c.get(i).map(|&v| v as f64),
ColumnData::Uint4(c) => c.get(i).map(|&v| v as f64),
ColumnData::Uint8(c) => c.get(i).map(|&v| v as f64),
ColumnData::Uint16(c) => c.get(i).map(|&v| v as f64),
ColumnData::Float4(c) => c.get(i).map(|&v| v as f64),
ColumnData::Float8(c) => c.get(i).copied(),
ColumnData::Int {
container,
..
} => container.get(i).map(|v| v.0.to_f64().unwrap_or(0.0)),
ColumnData::Uint {
container,
..
} => container.get(i).map(|v| v.0.to_f64().unwrap_or(0.0)),
ColumnData::Decimal {
container,
..
} => container.get(i).map(|v| v.0.to_f64().unwrap_or(0.0)),
_ => None,
}
}
impl ScalarFunction for Exp {
fn scalar(&self, ctx: ScalarFunctionContext) -> ScalarFunctionResult<ColumnData> {
if let Some(result) = propagate_options(self, &ctx) {
return result;
}
let columns = ctx.columns;
let row_count = ctx.row_count;
if columns.len() != 1 {
return Err(ScalarFunctionError::ArityMismatch {
function: ctx.fragment.clone(),
expected: 1,
actual: columns.len(),
});
}
let column = columns.get(0).unwrap();
if !column.data().get_type().is_number() {
return Err(ScalarFunctionError::InvalidArgumentType {
function: ctx.fragment.clone(),
argument_index: 0,
expected: vec![
Type::Int1,
Type::Int2,
Type::Int4,
Type::Int8,
Type::Int16,
Type::Uint1,
Type::Uint2,
Type::Uint4,
Type::Uint8,
Type::Uint16,
Type::Float4,
Type::Float8,
Type::Int,
Type::Uint,
Type::Decimal,
],
actual: column.data().get_type(),
});
}
let mut result = Vec::with_capacity(row_count);
let mut bitvec = Vec::with_capacity(row_count);
for i in 0..row_count {
match numeric_to_f64(column.data(), i) {
Some(v) => {
result.push(v.exp());
bitvec.push(true);
}
None => {
result.push(0.0);
bitvec.push(false);
}
}
}
Ok(ColumnData::float8_with_bitvec(result, bitvec))
}
fn return_type(&self, _input_types: &[Type]) -> Type {
Type::Float8
}
}