feat(rust, python): Impl any/all for array type

crates/polars-lazy/Cargo.toml

@@ -147,6 +147,7 @@ serde = [
 fused = ["polars-plan/fused", "polars-ops/fused"]
 list_sets = ["polars-plan/list_sets", "polars-ops/list_sets"]
 list_any_all = ["polars-ops/list_any_all", "polars-plan/list_any_all"]
+array_any_all = ["polars-ops/array_any_all", "polars-plan/array_any_all", "dtype-array"]
 list_drop_nulls = ["polars-ops/list_drop_nulls", "polars-plan/list_drop_nulls"]
 list_sample = ["polars-ops/list_sample", "polars-plan/list_sample"]
 cutqcut = ["polars-plan/cutqcut", "polars-ops/cutqcut"]

crates/polars-ops/Cargo.toml

@@ -108,6 +108,7 @@ cross_join = []
 chunked_ids = ["polars-core/chunked_ids"]
 asof_join = ["polars-core/asof_join"]
 semi_anti_join = []
+array_any_all = ["dtype-array"]
 list_gather = []
 list_sets = []
 list_any_all = []

crates/polars-ops/src/chunked_array/array/any_all.rs

@@ -0,0 +1,54 @@
+use arrow::array::{BooleanArray, FixedSizeListArray};
+use arrow::bitmap::MutableBitmap;
+use arrow::legacy::utils::CustomIterTools;
+
+use super::*;
+
+fn array_all_any<F>(arr: &FixedSizeListArray, op: F, is_all: bool) -> PolarsResult<BooleanArray>
+where
+    F: Fn(&BooleanArray) -> bool,
+{
+    let values = arr.values();
+
+    polars_ensure!(values.data_type() == &ArrowDataType::Boolean, ComputeError: "expected boolean elements in array");
+
+    let values = values.as_any().downcast_ref::<BooleanArray>().unwrap();
+    let validity = arr.validity().cloned();
+
+    // Fast path where all values set (all is free).
+    if is_all {
+        let all_set = arrow::compute::boolean::all(values);
+        if all_set {
+            let mut bits = MutableBitmap::with_capacity(arr.len());
+            bits.extend_constant(arr.len(), true);
+            return Ok(BooleanArray::from_data_default(bits.into(), None).with_validity(validity));
+        }
+    }
+
+    let len = arr.size();
+    let iter = (0..values.len()).step_by(len).map(|start| {
+        // SAFETY: start + len is in bound guarded by invariant of FixedSizeListArray
+        let val = unsafe { values.clone().sliced_unchecked(start, len) };
+        op(&val)
+    });
+
+    Ok(BooleanArray::from_trusted_len_values_iter(
+        // SAFETY: we evaluate for every sub-array, the length is equals to arr.len().
+        unsafe { iter.trust_my_length(arr.len()) },
+    )
+    .with_validity(validity))
+}
+
+pub(super) fn array_all(ca: &ArrayChunked) -> PolarsResult<Series> {
+    let chunks = ca
+        .downcast_iter()
+        .map(|arr| array_all_any(arr, arrow::compute::boolean::all, true));
+    Ok(BooleanChunked::try_from_chunk_iter(ca.name(), chunks)?.into_series())
+}
+
+pub(super) fn array_any(ca: &ArrayChunked) -> PolarsResult<Series> {
+    let chunks = ca
+        .downcast_iter()
+        .map(|arr| array_all_any(arr, arrow::compute::boolean::any, false));
+    Ok(BooleanChunked::try_from_chunk_iter(ca.name(), chunks)?.into_series())
+}

crates/polars-ops/src/chunked_array/array/mod.rs

@@ -1,3 +1,5 @@
+#[cfg(feature = "array_any_all")]
+mod any_all;
 mod min_max;
 mod namespace;
 mod sum_mean;

crates/polars-ops/src/chunked_array/array/namespace.rs

@@ -1,6 +1,8 @@
 use super::min_max::AggType;
 use super::*;
 use crate::chunked_array::array::sum_mean::sum_with_nulls;
+#[cfg(feature = "array_any_all")]
+use crate::prelude::array::any_all::{array_all, array_any};
 use crate::prelude::array::sum_mean::sum_array_numerical;
 
 pub fn has_inner_nulls(ca: &ArrayChunked) -> bool {
@@ -51,6 +53,18 @@ pub trait ArrayNameSpace: AsArray {
         let ca = self.as_array();
         ca.try_apply_amortized(|s| s.as_ref().unique_stable())
     }
+
+    #[cfg(feature = "array_any_all")]
+    fn array_any(&self) -> PolarsResult<Series> {
+        let ca = self.as_array();
+        array_any(ca)
+    }
+
+    #[cfg(feature = "array_any_all")]
+    fn array_all(&self) -> PolarsResult<Series> {
+        let ca = self.as_array();
+        array_all(ca)
+    }
 }
 
 impl ArrayNameSpace for ArrayChunked {}

crates/polars-ops/src/chunked_array/list/any_all.rs

@@ -16,20 +16,19 @@ where
     let validity = arr.validity().cloned();
 
     // Fast path where all values set (all is free).
-    let all_set = arrow::compute::boolean::all(values);
-    if all_set && is_all {
-        let mut bits = MutableBitmap::with_capacity(arr.len());
-        bits.extend_constant(arr.len(), true);
-        return Ok(BooleanArray::from_data_default(bits.into(), None).with_validity(validity));
+    if is_all {
+        let all_set = arrow::compute::boolean::all(values);
+        if all_set {
+            let mut bits = MutableBitmap::with_capacity(arr.len());
+            bits.extend_constant(arr.len(), true);
+            return Ok(BooleanArray::from_data_default(bits.into(), None).with_validity(validity));
+        }
     }
 
     let mut start = offsets[0] as usize;
     let iter = offsets[1..].iter().map(|&end| {
         let end = end as usize;
         let len = end - start;
-        // TODO!
-        // We can speed this upp if the boolean array doesn't have nulls
-        // Then we can work directly on the byte slice.
         let val = unsafe { values.clone().sliced_unchecked(start, len) };
         start = end;
         op(&val)

crates/polars-plan/Cargo.toml

@@ -138,6 +138,7 @@ cse = []
 propagate_nans = ["polars-ops/propagate_nans"]
 coalesce = []
 fused = ["polars-ops/fused"]
+array_any_all = ["polars-ops/array_any_all", "dtype-array"]
 list_sets = ["polars-ops/list_sets"]
 list_any_all = ["polars-ops/list_any_all"]
 list_drop_nulls = ["polars-ops/list_drop_nulls"]

crates/polars-plan/src/dsl/array.rs

@@ -43,4 +43,18 @@ impl ArrayNameSpace {
         self.0
             .map_private(FunctionExpr::ArrayExpr(ArrayFunction::ToList))
     }
+
+    #[cfg(feature = "array_any_all")]
+    /// Evaluate whether all boolean values are true for every subarray.
+    pub fn all(self) -> Expr {
+        self.0
+            .map_private(FunctionExpr::ArrayExpr(ArrayFunction::All))
+    }
+
+    #[cfg(feature = "array_any_all")]
+    /// Evaluate whether any boolean value is true for every subarray
+    pub fn any(self) -> Expr {
+        self.0
+            .map_private(FunctionExpr::ArrayExpr(ArrayFunction::Any))
+    }
 }

crates/polars-plan/src/dsl/function_expr/array.rs

@@ -11,6 +11,10 @@ pub enum ArrayFunction {
     Sum,
     ToList,
     Unique(bool),
+    #[cfg(feature = "array_any_all")]
+    Any,
+    #[cfg(feature = "array_any_all")]
+    All,
 }
 
 impl ArrayFunction {
@@ -21,6 +25,8 @@ impl ArrayFunction {
             Sum => mapper.nested_sum_type(),
             ToList => mapper.try_map_dtype(map_array_dtype_to_list_dtype),
             Unique(_) => mapper.try_map_dtype(map_array_dtype_to_list_dtype),
+            #[cfg(feature = "array_any_all")]
+            Any | All => mapper.with_dtype(DataType::Boolean),
         }
     }
 }
@@ -42,6 +48,10 @@ impl Display for ArrayFunction {
             Sum => "sum",
             ToList => "to_list",
             Unique(_) => "unique",
+            #[cfg(feature = "array_any_all")]
+            Any => "any",
+            #[cfg(feature = "array_any_all")]
+            All => "all",
         };
         write!(f, "arr.{name}")
     }
@@ -56,6 +66,10 @@ impl From<ArrayFunction> for SpecialEq<Arc<dyn SeriesUdf>> {
             Sum => map!(sum),
             ToList => map!(to_list),
             Unique(stable) => map!(unique, stable),
+            #[cfg(feature = "array_any_all")]
+            Any => map!(any),
+            #[cfg(feature = "array_any_all")]
+            All => map!(all),
         }
     }
 }
@@ -86,3 +100,13 @@ pub(super) fn to_list(s: &Series) -> PolarsResult<Series> {
     let list_dtype = map_array_dtype_to_list_dtype(s.dtype())?;
     s.cast(&list_dtype)
 }
+
+#[cfg(feature = "array_any_all")]
+pub(super) fn any(s: &Series) -> PolarsResult<Series> {
+    s.array()?.array_any()
+}
+
+#[cfg(feature = "array_any_all")]
+pub(super) fn all(s: &Series) -> PolarsResult<Series> {
+    s.array()?.array_all()
+}

crates/polars/Cargo.toml

@@ -187,6 +187,7 @@ streaming = ["polars-lazy?/streaming"]
 fused = ["polars-ops/fused", "polars-lazy?/fused"]
 list_sets = ["polars-lazy?/list_sets"]
 list_any_all = ["polars-lazy?/list_any_all"]
+array_any_all = ["polars-lazy?/array_any_all", "dtype-array"]
 list_drop_nulls = ["polars-lazy?/list_drop_nulls"]
 list_sample = ["polars-lazy?/list_sample"]
 cutqcut = ["polars-lazy?/cutqcut"]

py-polars/Cargo.toml

@@ -140,6 +140,7 @@ list_count = ["polars/list_count"]
 binary_encoding = ["polars/binary_encoding"]
 list_sets = ["polars-lazy/list_sets"]
 list_any_all = ["polars/list_any_all"]
+array_any_all = ["polars/array_any_all", "polars/dtype-array"]
 list_drop_nulls = ["polars/list_drop_nulls"]
 list_sample = ["polars/list_sample"]
 cutqcut = ["polars/cutqcut"]
@@ -161,6 +162,7 @@ dtypes = [
 ]
 
 operations = [
+  "array_any_all",
   "is_in",
   "repeat_by",
   "trigonometry",

py-polars/docs/source/reference/expressions/array.rst

@@ -14,3 +14,5 @@ The following methods are available under the `expr.arr` attribute.
     Expr.arr.sum
     Expr.arr.to_list
     Expr.arr.unique
+    Expr.arr.all
+    Expr.arr.any

py-polars/docs/source/reference/series/array.rst

@@ -14,3 +14,5 @@ The following methods are available under the `Series.arr` attribute.
     Series.arr.sum
     Series.arr.to_list
     Series.arr.unique
+    Series.arr.all
+    Series.arr.any

py-polars/polars/expr/array.py

@@ -146,3 +146,73 @@ def to_list(self) -> Expr:
 
         """
         return wrap_expr(self._pyexpr.arr_to_list())
+
+    def any(self) -> Expr:
+        """
+        Evaluate whether any boolean value is true for every subarray.
+
+        Examples
+        --------
+        >>> df = pl.DataFrame(
+        ...     data={
+        ...         "a": [
+        ...             [True, True],
+        ...             [False, True],
+        ...             [False, False],
+        ...             [None, None],
+        ...             None,
+        ...         ]
+        ...     },
+        ...     schema={"a": pl.Array(pl.Boolean, 2)},
+        ... )
+        >>> df.with_columns(any=pl.col("a").arr.any())
+        shape: (5, 2)
+        ┌────────────────┬───────┐
+        │ a              ┆ any   │
+        │ ---            ┆ ---   │
+        │ array[bool, 2] ┆ bool  │
+        ╞════════════════╪═══════╡
+        │ [true, true]   ┆ true  │
+        │ [false, true]  ┆ true  │
+        │ [false, false] ┆ false │
+        │ [null, null]   ┆ false │
+        │ null           ┆ null  │
+        └────────────────┴───────┘
+
+        """
+        return wrap_expr(self._pyexpr.arr_any())
+
+    def all(self) -> Expr:
+        """
+        Evaluate whether all boolean values are true for every subarray.
+
+        Examples
+        --------
+        >>> df = pl.DataFrame(
+        ...     data={
+        ...         "a": [
+        ...             [True, True],
+        ...             [False, True],
+        ...             [False, False],
+        ...             [None, None],
+        ...             None,
+        ...         ]
+        ...     },
+        ...     schema={"a": pl.Array(pl.Boolean, 2)},
+        ... )
+        >>> df.with_columns(all=pl.col("a").arr.all())
+        shape: (5, 2)
+        ┌────────────────┬───────┐
+        │ a              ┆ all   │
+        │ ---            ┆ ---   │
+        │ array[bool, 2] ┆ bool  │
+        ╞════════════════╪═══════╡
+        │ [true, true]   ┆ true  │
+        │ [false, true]  ┆ false │
+        │ [false, false] ┆ false │
+        │ [null, null]   ┆ true  │
+        │ null           ┆ null  │
+        └────────────────┴───────┘
+
+        """
+        return wrap_expr(self._pyexpr.arr_all())

py-polars/polars/series/array.py

@@ -125,3 +125,59 @@ def to_list(self) -> Series:
         ]
 
         """
+
+    def any(self) -> Series:
+        """
+        Evaluate whether any boolean value is true for every subarray.
+
+        Returns
+        -------
+        Series
+            Series of data type :class:`Boolean`.
+
+        Examples
+        --------
+        >>> s = pl.Series(
+        ...     [[True, True], [False, True], [False, False], [None, None], None],
+        ...     dtype=pl.Array(pl.Boolean, 2),
+        ... )
+        >>> s.arr.any()
+        shape: (5,)
+        Series: '' [bool]
+        [
+            true
+            true
+            false
+            false
+            null
+        ]
+
+        """
+
+    def all(self) -> Series:
+        """
+        Evaluate whether all boolean values are true for every subarray.
+
+        Returns
+        -------
+        Series
+            Series of data type :class:`Boolean`.
+
+        Examples
+        --------
+        >>> s = pl.Series(
+        ...     [[True, True], [False, True], [False, False], [None, None], None],
+        ...     dtype=pl.Array(pl.Boolean, 2),
+        ... )
+        >>> s.arr.all()
+        shape: (5,)
+        Series: '' [bool]
+        [
+            true
+            false
+            false
+            true
+            null
+        ]
+
+        """

py-polars/src/expr/array.rs

@@ -27,4 +27,12 @@ impl PyExpr {
     fn arr_to_list(&self) -> Self {
         self.inner.clone().arr().to_list().into()
     }
+
+    fn arr_all(&self) -> Self {
+        self.inner.clone().arr().all().into()
+    }
+
+    fn arr_any(&self) -> Self {
+        self.inner.clone().arr().any().into()
+    }
 }