ci: Bump crate-ci/typos from 1.24.2 to 1.25.0

.github/workflows/lint-global.yml

@@ -15,4 +15,4 @@ jobs:
       - name: Lint Markdown and TOML
         uses: dprint/check@v2.2
       - name: Spell Check with Typos
-        uses: crate-ci/typos@v1.24.2
+        uses: crate-ci/typos@v1.25.0

crates/polars-arrow/src/array/mod.rs

@@ -15,7 +15,7 @@
 //! to a concrete struct based on [`PhysicalType`](crate::datatypes::PhysicalType) available from [`Array::dtype`].
 //! All immutable arrays are backed by [`Buffer`](crate::buffer::Buffer) and thus cloning and slicing them is `O(1)`.
 //!
-//! Most arrays contain a [`MutableArray`] counterpart that is neither clonable nor sliceable, but
+//! Most arrays contain a [`MutableArray`] counterpart that is neither cloneable nor sliceable, but
 //! can be operated in-place.
 use std::any::Any;
 use std::sync::Arc;

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

@@ -94,7 +94,7 @@ where
                 set2.clear();
                 set2.extend(b);
             }
-            // We could speed this up, but implementing ourselves, but we need to have a clonable
+            // We could speed this up, but implementing ourselves, but we need to have a cloneable
             // iterator as we need 2 passes
             set.extend(a);
             out.extend_buf(set.symmetric_difference(set2).copied())

crates/polars-parquet/src/parquet/encoding/delta_length_byte_array/encoder.rs

@@ -1,6 +1,6 @@
 use crate::parquet::encoding::delta_bitpacked;
 
-/// Encodes a clonable iterator of `&[u8]` into `buffer`. This does not allocated on the heap.
+/// Encodes a cloneable iterator of `&[u8]` into `buffer`. This does not allocated on the heap.
 /// # Implementation
 /// This encoding is equivalent to call [`delta_bitpacked::encode`] on the lengths of the items
 /// of the iterator followed by extending the buffer from each item of the iterator.

crates/polars-pipe/src/executors/sinks/group_by/primitive/mod.rs

@@ -277,7 +277,7 @@ where
         let s = s.to_physical_repr();
         let s = prepare_key(&s, chunk);
 
-        // todo! ammortize allocation
+        // TODO: Amortize allocation.
         for phys_e in self.aggregation_columns.iter() {
             let s = phys_e.evaluate(chunk, &context.execution_state)?;
             let s = s.to_physical_repr();

crates/polars-pipe/src/executors/sinks/group_by/string.rs

@@ -232,7 +232,7 @@ impl StringGroupbySink {
         let s = s.to_physical_repr();
         let s = prepare_key(&s, chunk);
 
-        // todo! ammortize allocation
+        // TODO: Amortize allocation.
         for phys_e in self.aggregation_columns.iter() {
             let s = phys_e.evaluate(chunk, &context.execution_state)?;
             let s = s.to_physical_repr();

py-polars/requirements-lint.txt

@@ -1,3 +1,3 @@
 mypy==1.11.1
 ruff==0.6.4
-typos==1.24.2
+typos==1.25.0

py-polars/tests/unit/io/test_scan.py

@@ -149,7 +149,7 @@ def data_file_glob(session_tmp_dir: Path, data_file_extension: str) -> _DataFile
     assert sum(row_counts) == 10000
 
     # Make sure we pad file names with enough zeros to ensure correct
-    # lexographical ordering.
+    # lexicographical ordering.
     assert len(row_counts) < 100
 
     # Make sure that some of our data frames consist of multiple chunks which