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use crate::prelude::*; use itertools::__std_iter::FromIterator; use num::Bounded; use std::ops::AddAssign; impl<T> ChunkCumAgg<T> for ChunkedArray<T> where T: PolarsNumericType, T::Native: Bounded + PartialOrd + AddAssign, ChunkedArray<T>: FromIterator<Option<T::Native>>, { fn cum_max(&self, reverse: bool) -> ChunkedArray<T> { let iter: Box<dyn Iterator<Item = Option<T::Native>>> = match reverse { false => Box::new(self.into_iter()), true => Box::new(self.into_iter().rev()), }; let mut ca: Self = iter .scan(Bounded::min_value(), |state, v| match v { Some(v) => { if v > *state { *state = v } Some(Some(*state)) } None => Some(None), }) .collect(); ca.rename(self.name()); if reverse { ca.reverse() } else { ca } } fn cum_min(&self, reverse: bool) -> ChunkedArray<T> { let iter: Box<dyn Iterator<Item = Option<T::Native>>> = match reverse { false => Box::new(self.into_iter()), true => Box::new(self.into_iter().rev()), }; let mut ca: Self = iter .scan(Bounded::max_value(), |state, v| match v { Some(v) => { if v < *state { *state = v } Some(Some(*state)) } None => Some(None), }) .collect(); ca.rename(self.name()); if reverse { ca.reverse() } else { ca } } fn cum_sum(&self, reverse: bool) -> ChunkedArray<T> { let iter: Box<dyn Iterator<Item = Option<T::Native>>> = match reverse { false => Box::new(self.into_iter()), true => Box::new(self.into_iter().rev()), }; let mut ca: Self = iter .scan(Bounded::max_value(), |state, v| match v { Some(v) => { *state += v; Some(Some(*state)) } None => Some(None), }) .collect(); ca.rename(self.name()); if reverse { ca.reverse() } else { ca } } } impl ChunkCumAgg<CategoricalType> for CategoricalChunked {} impl ChunkCumAgg<Utf8Type> for Utf8Chunked {} impl ChunkCumAgg<ListType> for ListChunked {} impl ChunkCumAgg<BooleanType> for BooleanChunked { fn cum_max(&self, reverse: bool) -> ChunkedArray<BooleanType> { let iter: Box<dyn Iterator<Item = Option<bool>>> = match reverse { false => Box::new(self.into_iter()), true => Box::new(self.into_iter().rev()), }; let mut ca: Self = iter .scan(false, |state, v| match v { Some(v) => { if !v & *state { *state = v } Some(Some(*state)) } None => Some(None), }) .collect(); ca.rename(self.name()); if reverse { ca.reverse() } else { ca } } fn cum_min(&self, reverse: bool) -> ChunkedArray<BooleanType> { let iter: Box<dyn Iterator<Item = Option<bool>>> = match reverse { false => Box::new(self.into_iter()), true => Box::new(self.into_iter().rev()), }; let mut ca: Self = iter .scan(true, |state, v| match v { Some(v) => { if v & !(*state) { *state = v } Some(Some(*state)) } None => Some(None), }) .collect(); ca.rename(self.name()); if reverse { ca.reverse() } else { ca } } } #[cfg(feature = "object")] impl<T> ChunkCumAgg<ObjectType<T>> for ObjectChunked<T> {} #[cfg(test)] mod test { use crate::prelude::*; #[test] fn test_cum_max() { let ca = UInt8Chunked::new_from_opt_slice("foo", &[None, Some(1), Some(3), None, Some(1)]); let out = ca.cum_max(true); assert_eq!(Vec::from(&out), &[None, Some(3), Some(3), None, Some(1)]); let out = ca.cum_max(false); assert_eq!(Vec::from(&out), &[None, Some(1), Some(3), None, Some(3)]); } }