Commit 6b3b101
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feat: mask
Mask sets entries of an array to null. I like the analogy to light: the array is a sequence of
lights (each value might be a different wavelength). Null is represented by the absence of
light. Placing a mask (i.e. a piece of plastic with slits) over the array causes those values where
the mask is present (i.e. "on", "true") to be dark.
An example in pseudo-code:
```rust
a = [1, 2, 3, 4, 5]
a_mask = [t, f, f, t, f]
mask(a, a_mask) == [null, 2, 3, null, 5]
```
Specializations
---------------
I only fallback to Arrow for two of the core arrays:
- Sparse. I was skeptical that I could do better than decompressing and applying it.
- Constant. If the mask is sparse, SparseArray might be a good choice. I didn't investigate.
For the non-core arrays, I'm missing the following. I'm not clear that I can beat decompression for
run end. The others are easy enough but some amount of typing and testing.
- fastlanes
- fsst
- roaring
- runend
- runend-bool
- zigzag
Naming
------
Pandas also calls this operation
[`mask`](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.mask.html) but accepts an
optional second argument which is an array of values to use instead of null (which makes Pandas'
mask more like an `if_else`).
Arrow-rs calls this [`nullif`](https://arrow.apache.org/rust/arrow/compute/fn.nullif.html).
Arrow-cpp has [`if_else(condition, consequent,
alternate)`](https://arrow.apache.org/docs/cpp/compute.html#cpp-compute-scalar-selections) and
[`replace_with_mask(array, mask,
replacements)`](https://arrow.apache.org/docs/cpp/compute.html#replace-functions) both of which can
implement our `mask` by passing a `NullArray` as the third argument.1 parent f97c0cd commit 6b3b101
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- alp/src
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- src
- compute
- vortex-array/src
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- chunked/compute
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- extension/compute
- list/compute
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- sparse/compute
- struct_
- varbinview/compute
- varbin/compute
- compute
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