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use polars_arrow::export::arrow::array::PrimitiveArray;
use polars_core::export::arrow::array::Array;
use polars_core::prelude::*;
use polars_core::series::IsSorted;
use polars_core::utils::arrow::bitmap::MutableBitmap;
use polars_core::utils::arrow::types::NativeType;
pub trait ChunkedSet<T: Copy> {
fn set_at_idx2<V>(self, idx: &[IdxSize], values: V) -> PolarsResult<Series>
where
V: IntoIterator<Item = Option<T>>;
}
fn check_sorted(idx: &[IdxSize]) -> PolarsResult<()> {
if idx.is_empty() {
return Ok(());
}
let mut sorted = true;
let mut previous = idx[0];
for &i in &idx[1..] {
if i < previous {
sorted = false;
}
previous = i;
}
if sorted {
Ok(())
} else {
Err(PolarsError::ComputeError(
"set indices must be sorted".into(),
))
}
}
fn check_bounds(idx: &[IdxSize], len: IdxSize) -> PolarsResult<()> {
let mut inbounds = true;
for &i in idx {
if i >= len {
inbounds = false;
}
}
if inbounds {
Ok(())
} else {
Err(PolarsError::ComputeError(
"set indices are out of bounds".into(),
))
}
}
trait PolarsOpsNumericType: PolarsNumericType {}
impl PolarsOpsNumericType for UInt8Type {}
impl PolarsOpsNumericType for UInt16Type {}
impl PolarsOpsNumericType for UInt32Type {}
impl PolarsOpsNumericType for UInt64Type {}
impl PolarsOpsNumericType for Int8Type {}
impl PolarsOpsNumericType for Int16Type {}
impl PolarsOpsNumericType for Int32Type {}
impl PolarsOpsNumericType for Int64Type {}
impl PolarsOpsNumericType for Float32Type {}
impl PolarsOpsNumericType for Float64Type {}
unsafe fn set_at_idx_impl<V, T: NativeType>(
new_values_slice: &mut [T],
set_values: V,
arr: &mut PrimitiveArray<T>,
idx: &[IdxSize],
len: usize,
) where
V: IntoIterator<Item = Option<T>>,
{
let mut values_iter = set_values.into_iter();
if arr.null_count() > 0 {
arr.apply_validity(|v| {
let mut mut_validity = v.make_mut();
for (idx, val) in idx.iter().zip(&mut values_iter) {
match val {
Some(value) => {
mut_validity.set_unchecked(*idx as usize, true);
*new_values_slice.get_unchecked_mut(*idx as usize) = value
}
None => mut_validity.set_unchecked(*idx as usize, false),
}
}
mut_validity.into()
})
} else {
let mut null_idx = vec![];
for (idx, val) in idx.iter().zip(values_iter) {
match val {
Some(value) => *new_values_slice.get_unchecked_mut(*idx as usize) = value,
None => {
null_idx.push(*idx);
}
}
}
if !null_idx.is_empty() {
let mut validity = MutableBitmap::with_capacity(len);
validity.extend_constant(len, true);
for idx in null_idx {
validity.set_unchecked(idx as usize, false)
}
arr.set_validity(Some(validity.into()))
}
}
}
impl<T: PolarsOpsNumericType> ChunkedSet<T::Native> for ChunkedArray<T>
where
ChunkedArray<T>: IntoSeries,
{
fn set_at_idx2<V>(self, idx: &[IdxSize], values: V) -> PolarsResult<Series>
where
V: IntoIterator<Item = Option<T::Native>>,
{
check_bounds(idx, self.len() as IdxSize)?;
let mut ca = self.rechunk();
drop(self);
ca.set_sorted_flag(IsSorted::Not);
let arr = unsafe { ca.downcast_iter_mut() }.next().unwrap();
let len = arr.len();
match arr.get_mut_values() {
Some(current_values) => {
let ptr = current_values.as_mut_ptr();
let current_values = unsafe { &mut *std::slice::from_raw_parts_mut(ptr, len) };
unsafe { set_at_idx_impl(current_values, values, arr, idx, len) };
}
None => {
let mut new_values = arr.values().as_slice().to_vec();
unsafe { set_at_idx_impl(&mut new_values, values, arr, idx, len) };
arr.set_values(new_values.into());
}
};
Ok(ca.into_series())
}
}
impl<'a> ChunkedSet<&'a str> for &'a Utf8Chunked {
fn set_at_idx2<V>(self, idx: &[IdxSize], values: V) -> PolarsResult<Series>
where
V: IntoIterator<Item = Option<&'a str>>,
{
check_bounds(idx, self.len() as IdxSize)?;
check_sorted(idx)?;
let mut ca_iter = self.into_iter().enumerate();
let mut builder = Utf8ChunkedBuilder::new(self.name(), self.len(), self.get_values_size());
for (current_idx, current_value) in idx.iter().zip(values) {
for (cnt_idx, opt_val_self) in &mut ca_iter {
if cnt_idx == *current_idx as usize {
builder.append_option(current_value);
break;
} else {
builder.append_option(opt_val_self);
}
}
}
for (_, opt_val_self) in ca_iter {
builder.append_option(opt_val_self);
}
let ca = builder.finish();
Ok(ca.into_series())
}
}
impl ChunkedSet<bool> for &BooleanChunked {
fn set_at_idx2<V>(self, idx: &[IdxSize], values: V) -> PolarsResult<Series>
where
V: IntoIterator<Item = Option<bool>>,
{
check_bounds(idx, self.len() as IdxSize)?;
check_sorted(idx)?;
let mut ca_iter = self.into_iter().enumerate();
let mut builder = BooleanChunkedBuilder::new(self.name(), self.len());
for (current_idx, current_value) in idx.iter().zip(values) {
for (cnt_idx, opt_val_self) in &mut ca_iter {
if cnt_idx == *current_idx as usize {
builder.append_option(current_value);
break;
} else {
builder.append_option(opt_val_self);
}
}
}
for (_, opt_val_self) in ca_iter {
builder.append_option(opt_val_self);
}
let ca = builder.finish();
Ok(ca.into_series())
}
}