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Update polars requirement from 0.45.1 to 0.53.0 #202

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Update polars requirement from 0.45.1 to 0.53.0 #202

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1c80805
Update polars requirement from 0.45.1 to 0.53.0
dependabot[bot] May 29, 2026
12d272d
Fix parquet IO for polars 0.53 API changes
Copilot May 29, 2026
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2 changes: 1 addition & 1 deletion src/kete_core/Cargo.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,7 @@ itertools = "^0.14.0"
kdtree = "^0.7.0"
lazy_static = "^1.5.0"
nalgebra = {version = "^0.33.0"}
polars = {version = "0.45.1", optional=true, features=["parquet", "polars-io"]}
polars = {version = "0.53.0", optional=true, features=["parquet", "polars-io"]}
pathfinding = "^4.10.0"
pyo3 = { version = "^0.24.1", optional=true}
rayon = "^1.10.0"
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11 changes: 6 additions & 5 deletions src/kete_core/src/io/parquet.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -58,7 +58,7 @@ pub fn write_states_parquet(states: &[State], filename: &str) -> KeteResult<()>
"center".into(),
states.iter().map(|state| state.center_id).collect_vec(),
);
let mut df = DataFrame::new(vec![desigs, jd, x, y, z, vx, vy, vz, frame, center])
let mut df = DataFrame::new_infer_height(vec![desigs, jd, x, y, z, vx, vy, vz, frame, center])
.expect("Failed to construct dataframe");
let file = File::create(filename).expect("could not create file");
let _ = ParquetWriter::new(file)
Expand All @@ -76,7 +76,7 @@ pub fn read_states_parquet(filename: &str) -> KeteResult<Vec<State>> {
let mut dataframe = reader.finish().map_err(|_| {
Error::IOError("Failed to read contents of file as a parquet table.".into())
})?;
let dataframe = dataframe.as_single_chunk_par();
let _ = dataframe.align_chunks_par();

// create all the iterators, these are all type dependant, so they get special cased
let mut desig_iter = dataframe
Expand All @@ -102,9 +102,10 @@ pub fn read_states_parquet(filename: &str) -> KeteResult<Vec<State>> {

// the remaining columns are all floats, so here we make a vector of iterators of
// floats
let mut state_iters = dataframe
.columns(["jd", "x", "y", "z", "vx", "vy", "vz"])
.map_err(|_| Error::IOError("File doesn't contain the correct columns".into()))?
let state_columns = dataframe
.select_to_vec(["jd", "x", "y", "z", "vx", "vy", "vz"])
.map_err(|_| Error::IOError("File doesn't contain the correct columns".into()))?;
let mut state_iters = state_columns
.iter()
.map(|s| {
s.f64()
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