polars_core/series/implementations/
binary.rs

1use super::*;
2use crate::chunked_array::cast::CastOptions;
3#[cfg(feature = "algorithm_group_by")]
4use crate::frame::group_by::*;
5use crate::prelude::*;
6
7impl private::PrivateSeries for SeriesWrap<BinaryChunked> {
8    fn compute_len(&mut self) {
9        self.0.compute_len()
10    }
11    fn _field(&self) -> Cow<'_, Field> {
12        Cow::Borrowed(self.0.ref_field())
13    }
14    fn _dtype(&self) -> &DataType {
15        self.0.ref_field().dtype()
16    }
17    fn _get_flags(&self) -> StatisticsFlags {
18        self.0.get_flags()
19    }
20    fn _set_flags(&mut self, flags: StatisticsFlags) {
21        self.0.set_flags(flags)
22    }
23
24    #[cfg(feature = "zip_with")]
25    fn zip_with_same_type(&self, mask: &BooleanChunked, other: &Series) -> PolarsResult<Series> {
26        ChunkZip::zip_with(&self.0, mask, other.as_ref().as_ref()).map(|ca| ca.into_series())
27    }
28    fn into_total_eq_inner<'a>(&'a self) -> Box<dyn TotalEqInner + 'a> {
29        (&self.0).into_total_eq_inner()
30    }
31    fn into_total_ord_inner<'a>(&'a self) -> Box<dyn TotalOrdInner + 'a> {
32        (&self.0).into_total_ord_inner()
33    }
34
35    fn vec_hash(
36        &self,
37        random_state: PlSeedableRandomStateQuality,
38        buf: &mut Vec<u64>,
39    ) -> PolarsResult<()> {
40        self.0.vec_hash(random_state, buf)?;
41        Ok(())
42    }
43
44    fn vec_hash_combine(
45        &self,
46        build_hasher: PlSeedableRandomStateQuality,
47        hashes: &mut [u64],
48    ) -> PolarsResult<()> {
49        self.0.vec_hash_combine(build_hasher, hashes)?;
50        Ok(())
51    }
52
53    #[cfg(feature = "algorithm_group_by")]
54    unsafe fn agg_list(&self, groups: &GroupsType) -> Series {
55        self.0.agg_list(groups)
56    }
57
58    #[cfg(feature = "algorithm_group_by")]
59    unsafe fn agg_min(&self, groups: &GroupsType) -> Series {
60        self.0.agg_min(groups)
61    }
62
63    #[cfg(feature = "algorithm_group_by")]
64    unsafe fn agg_max(&self, groups: &GroupsType) -> Series {
65        self.0.agg_max(groups)
66    }
67
68    #[cfg(feature = "algorithm_group_by")]
69    unsafe fn agg_arg_min(&self, groups: &GroupsType) -> Series {
70        self.0.agg_arg_min(groups)
71    }
72
73    #[cfg(feature = "algorithm_group_by")]
74    unsafe fn agg_arg_max(&self, groups: &GroupsType) -> Series {
75        self.0.agg_arg_max(groups)
76    }
77
78    fn subtract(&self, rhs: &Series) -> PolarsResult<Series> {
79        NumOpsDispatch::subtract(&self.0, rhs)
80    }
81    fn add_to(&self, rhs: &Series) -> PolarsResult<Series> {
82        NumOpsDispatch::add_to(&self.0, rhs)
83    }
84    fn multiply(&self, rhs: &Series) -> PolarsResult<Series> {
85        NumOpsDispatch::multiply(&self.0, rhs)
86    }
87    fn divide(&self, rhs: &Series) -> PolarsResult<Series> {
88        NumOpsDispatch::divide(&self.0, rhs)
89    }
90    fn remainder(&self, rhs: &Series) -> PolarsResult<Series> {
91        NumOpsDispatch::remainder(&self.0, rhs)
92    }
93    #[cfg(feature = "algorithm_group_by")]
94    fn group_tuples(&self, multithreaded: bool, sorted: bool) -> PolarsResult<GroupsType> {
95        IntoGroupsType::group_tuples(&self.0, multithreaded, sorted)
96    }
97
98    fn arg_sort_multiple(
99        &self,
100        by: &[Column],
101        options: &SortMultipleOptions,
102    ) -> PolarsResult<IdxCa> {
103        self.0.arg_sort_multiple(by, options)
104    }
105}
106
107impl SeriesTrait for SeriesWrap<BinaryChunked> {
108    fn rename(&mut self, name: PlSmallStr) {
109        self.0.rename(name);
110    }
111
112    fn chunk_lengths(&self) -> ChunkLenIter<'_> {
113        self.0.chunk_lengths()
114    }
115    fn name(&self) -> &PlSmallStr {
116        self.0.name()
117    }
118
119    fn chunks(&self) -> &Vec<ArrayRef> {
120        self.0.chunks()
121    }
122    unsafe fn chunks_mut(&mut self) -> &mut Vec<ArrayRef> {
123        self.0.chunks_mut()
124    }
125    fn shrink_to_fit(&mut self) {
126        self.0.shrink_to_fit()
127    }
128
129    fn slice(&self, offset: i64, length: usize) -> Series {
130        self.0.slice(offset, length).into_series()
131    }
132    fn split_at(&self, offset: i64) -> (Series, Series) {
133        let (a, b) = self.0.split_at(offset);
134        (a.into_series(), b.into_series())
135    }
136
137    fn append(&mut self, other: &Series) -> PolarsResult<()> {
138        polars_ensure!(self.0.dtype() == other.dtype(), append);
139        // todo! add object
140        self.0.append(other.as_ref().as_ref())?;
141        Ok(())
142    }
143    fn append_owned(&mut self, other: Series) -> PolarsResult<()> {
144        polars_ensure!(self.0.dtype() == other.dtype(), append);
145        self.0.append_owned(other.take_inner())
146    }
147
148    fn extend(&mut self, other: &Series) -> PolarsResult<()> {
149        polars_ensure!(self.0.dtype() == other.dtype(), extend);
150        self.0.extend(other.as_ref().as_ref())?;
151        Ok(())
152    }
153
154    fn filter(&self, filter: &BooleanChunked) -> PolarsResult<Series> {
155        ChunkFilter::filter(&self.0, filter).map(|ca| ca.into_series())
156    }
157
158    fn take(&self, indices: &IdxCa) -> PolarsResult<Series> {
159        Ok(self.0.take(indices)?.into_series())
160    }
161
162    unsafe fn take_unchecked(&self, indices: &IdxCa) -> Series {
163        self.0.take_unchecked(indices).into_series()
164    }
165
166    fn take_slice(&self, indices: &[IdxSize]) -> PolarsResult<Series> {
167        Ok(self.0.take(indices)?.into_series())
168    }
169
170    unsafe fn take_slice_unchecked(&self, indices: &[IdxSize]) -> Series {
171        self.0.take_unchecked(indices).into_series()
172    }
173
174    fn deposit(&self, validity: &Bitmap) -> Series {
175        self.0.deposit(validity).into_series()
176    }
177
178    fn len(&self) -> usize {
179        self.0.len()
180    }
181
182    fn rechunk(&self) -> Series {
183        self.0.rechunk().into_owned().into_series()
184    }
185
186    fn with_validity(&self, validity: Option<Bitmap>) -> Series {
187        self.0.clone().with_validity(validity).into_series()
188    }
189
190    fn new_from_index(&self, index: usize, length: usize) -> Series {
191        ChunkExpandAtIndex::new_from_index(&self.0, index, length).into_series()
192    }
193
194    fn cast(&self, dtype: &DataType, options: CastOptions) -> PolarsResult<Series> {
195        self.0.cast_with_options(dtype, options)
196    }
197
198    #[inline]
199    unsafe fn get_unchecked(&self, index: usize) -> AnyValue<'_> {
200        self.0.get_any_value_unchecked(index)
201    }
202
203    fn sort_with(&self, options: SortOptions) -> PolarsResult<Series> {
204        Ok(ChunkSort::sort_with(&self.0, options).into_series())
205    }
206
207    fn arg_sort(&self, options: SortOptions) -> IdxCa {
208        ChunkSort::arg_sort(&self.0, options)
209    }
210
211    fn null_count(&self) -> usize {
212        self.0.null_count()
213    }
214
215    fn has_nulls(&self) -> bool {
216        self.0.has_nulls()
217    }
218
219    #[cfg(feature = "algorithm_group_by")]
220    fn unique(&self) -> PolarsResult<Series> {
221        ChunkUnique::unique(&self.0).map(|ca| ca.into_series())
222    }
223
224    #[cfg(feature = "algorithm_group_by")]
225    fn n_unique(&self) -> PolarsResult<usize> {
226        ChunkUnique::n_unique(&self.0)
227    }
228
229    #[cfg(feature = "algorithm_group_by")]
230    fn arg_unique(&self) -> PolarsResult<IdxCa> {
231        ChunkUnique::arg_unique(&self.0)
232    }
233
234    #[cfg(feature = "algorithm_group_by")]
235    fn unique_id(&self) -> PolarsResult<(IdxSize, Vec<IdxSize>)> {
236        ChunkUnique::unique_id(&self.0)
237    }
238
239    #[cfg(feature = "approx_unique")]
240    fn approx_n_unique(&self) -> PolarsResult<IdxSize> {
241        Ok(ChunkApproxNUnique::approx_n_unique(&self.0))
242    }
243
244    fn is_null(&self) -> BooleanChunked {
245        self.0.is_null()
246    }
247
248    fn is_not_null(&self) -> BooleanChunked {
249        self.0.is_not_null()
250    }
251
252    fn reverse(&self) -> Series {
253        ChunkReverse::reverse(&self.0).into_series()
254    }
255
256    fn as_single_ptr(&mut self) -> PolarsResult<usize> {
257        self.0.as_single_ptr()
258    }
259
260    fn shift(&self, periods: i64) -> Series {
261        ChunkShift::shift(&self.0, periods).into_series()
262    }
263
264    fn max_reduce(&self) -> PolarsResult<Scalar> {
265        Ok(ChunkAggSeries::max_reduce(&self.0))
266    }
267    fn min_reduce(&self) -> PolarsResult<Scalar> {
268        Ok(ChunkAggSeries::min_reduce(&self.0))
269    }
270
271    fn clone_inner(&self) -> Arc<dyn SeriesTrait> {
272        Arc::new(SeriesWrap(Clone::clone(&self.0)))
273    }
274
275    fn find_validity_mismatch(&self, other: &Series, idxs: &mut Vec<IdxSize>) {
276        self.0.find_validity_mismatch(other, idxs)
277    }
278
279    fn as_any(&self) -> &dyn Any {
280        &self.0
281    }
282
283    fn as_any_mut(&mut self) -> &mut dyn Any {
284        &mut self.0
285    }
286
287    fn as_phys_any(&self) -> &dyn Any {
288        &self.0
289    }
290
291    fn as_arc_any(self: Arc<Self>) -> Arc<dyn Any + Send + Sync> {
292        self as _
293    }
294}
polars_core/series/implementations/binary.rs

polars_core/series/implementations/
binary.rs
