vortex_array/arrays/chunked/compute/
zip.rs1use vortex_error::VortexResult;
5use vortex_mask::Mask;
6
7use crate::Array;
8use crate::ArrayRef;
9use crate::arrays::ChunkedArray;
10use crate::arrays::ChunkedVTable;
11use crate::compute::zip;
12use crate::expr::ZipReduce;
13
14impl ZipReduce for ChunkedVTable {
18 fn zip(
19 if_true: &ChunkedArray,
20 if_false: &dyn Array,
21 mask: &Mask,
22 ) -> VortexResult<Option<ArrayRef>> {
23 let Some(if_false) = if_false.as_opt::<ChunkedVTable>() else {
24 return Ok(None);
25 };
26 let dtype = if_true
27 .dtype()
28 .union_nullability(if_false.dtype().nullability());
29 let mut out_chunks = Vec::with_capacity(if_true.nchunks() + if_false.nchunks());
30
31 let mut lhs_idx = 0;
32 let mut rhs_idx = 0;
33 let mut lhs_offset = 0;
34 let mut rhs_offset = 0;
35 let mut pos = 0;
36 let total_len = if_true.len();
37
38 while pos < total_len {
39 let lhs_chunk = if_true.chunk(lhs_idx);
40 let rhs_chunk = if_false.chunk(rhs_idx);
41
42 let lhs_rem = lhs_chunk.len() - lhs_offset;
43 let rhs_rem = rhs_chunk.len() - rhs_offset;
44 let take_until = lhs_rem.min(rhs_rem);
45
46 let mask_slice = mask.slice(pos..pos + take_until);
47 let lhs_slice = lhs_chunk.slice(lhs_offset..lhs_offset + take_until)?;
48 let rhs_slice = rhs_chunk.slice(rhs_offset..rhs_offset + take_until)?;
49
50 out_chunks.push(zip(lhs_slice.as_ref(), rhs_slice.as_ref(), &mask_slice)?);
51
52 pos += take_until;
53 lhs_offset += take_until;
54 rhs_offset += take_until;
55
56 if lhs_offset == lhs_chunk.len() {
57 lhs_idx += 1;
58 lhs_offset = 0;
59 }
60 if rhs_offset == rhs_chunk.len() {
61 rhs_idx += 1;
62 rhs_offset = 0;
63 }
64 }
65
66 let chunked = unsafe { ChunkedArray::new_unchecked(out_chunks, dtype) };
68 Ok(Some(chunked.to_array()))
69 }
70}
71
72#[cfg(test)]
73mod tests {
74 use vortex_buffer::buffer;
75 use vortex_dtype::DType;
76 use vortex_dtype::Nullability;
77 use vortex_dtype::PType;
78 use vortex_mask::Mask;
79
80 use crate::IntoArray;
81 use crate::ToCanonical;
82 use crate::arrays::ChunkedArray;
83 use crate::arrays::ChunkedVTable;
84 use crate::compute::zip;
85
86 #[test]
87 fn test_chunked_zip_aligns_across_boundaries() {
88 let if_true = ChunkedArray::try_new(
89 vec![
90 buffer![1i32, 2].into_array(),
91 buffer![3i32].into_array(),
92 buffer![4i32, 5].into_array(),
93 ],
94 DType::Primitive(PType::I32, Nullability::NonNullable),
95 )
96 .unwrap();
97
98 let if_false = ChunkedArray::try_new(
99 vec![
100 buffer![10i32].into_array(),
101 buffer![11i32, 12].into_array(),
102 buffer![13i32, 14].into_array(),
103 ],
104 DType::Primitive(PType::I32, Nullability::NonNullable),
105 )
106 .unwrap();
107
108 let mask = Mask::from_iter([true, false, true, false, true]);
109
110 let zipped = zip(if_true.as_ref(), if_false.as_ref(), &mask).unwrap();
111 let zipped = zipped
112 .as_opt::<ChunkedVTable>()
113 .expect("zip should keep chunked encoding");
114
115 assert_eq!(zipped.nchunks(), 4);
116 let mut values: Vec<i32> = Vec::new();
117 for chunk in zipped.chunks() {
118 let primitive = chunk.to_primitive();
119 values.extend_from_slice(primitive.as_slice::<i32>());
120 }
121 assert_eq!(values, vec![1, 11, 3, 13, 5]);
122 }
123}