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polars_core/series/implementations/
binary_offset.rs

1use super::*;
2#[cfg(feature = "algorithm_group_by")]
3use crate::frame::group_by::*;
4use crate::prelude::*;
5use crate::series::private::PrivateSeries;
6
7impl private::PrivateSeries for SeriesWrap<BinaryOffsetChunked> {
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    fn into_total_eq_inner<'a>(&'a self) -> Box<dyn TotalEqInner + 'a> {
25        (&self.0).into_total_eq_inner()
26    }
27    fn into_total_ord_inner<'a>(&'a self) -> Box<dyn TotalOrdInner + 'a> {
28        (&self.0).into_total_ord_inner()
29    }
30
31    fn vec_hash(
32        &self,
33        random_state: PlSeedableRandomStateQuality,
34        buf: &mut Vec<u64>,
35    ) -> PolarsResult<()> {
36        self.0.vec_hash(random_state, buf)?;
37        Ok(())
38    }
39
40    fn vec_hash_combine(
41        &self,
42        build_hasher: PlSeedableRandomStateQuality,
43        hashes: &mut [u64],
44    ) -> PolarsResult<()> {
45        self.0.vec_hash_combine(build_hasher, hashes)?;
46        Ok(())
47    }
48
49    #[cfg(feature = "algorithm_group_by")]
50    fn group_tuples(&self, multithreaded: bool, sorted: bool) -> PolarsResult<GroupsType> {
51        IntoGroupsType::group_tuples(&self.0, multithreaded, sorted)
52    }
53
54    fn arg_sort_multiple(
55        &self,
56        by: &[Column],
57        options: &SortMultipleOptions,
58    ) -> PolarsResult<IdxCa> {
59        self.0.arg_sort_multiple(by, options)
60    }
61}
62
63impl SeriesTrait for SeriesWrap<BinaryOffsetChunked> {
64    fn rename(&mut self, name: PlSmallStr) {
65        self.0.rename(name);
66    }
67
68    fn chunk_lengths(&self) -> ChunkLenIter<'_> {
69        self.0.chunk_lengths()
70    }
71    fn name(&self) -> &PlSmallStr {
72        self.0.name()
73    }
74
75    fn chunks(&self) -> &Vec<ArrayRef> {
76        self.0.chunks()
77    }
78    unsafe fn chunks_mut(&mut self) -> &mut Vec<ArrayRef> {
79        self.0.chunks_mut()
80    }
81    fn shrink_to_fit(&mut self) {
82        self.0.shrink_to_fit()
83    }
84
85    fn slice(&self, offset: i64, length: usize) -> Series {
86        self.0.slice(offset, length).into_series()
87    }
88    fn split_at(&self, offset: i64) -> (Series, Series) {
89        let (a, b) = self.0.split_at(offset);
90        (a.into_series(), b.into_series())
91    }
92
93    fn append(&mut self, other: &Series) -> PolarsResult<()> {
94        polars_ensure!(self.0.dtype() == other.dtype(), append);
95        // todo! add object
96        self.0.append(other.as_ref().as_ref())?;
97        Ok(())
98    }
99    fn append_owned(&mut self, other: Series) -> PolarsResult<()> {
100        polars_ensure!(self.0.dtype() == other.dtype(), append);
101        self.0.append_owned(other.take_inner())
102    }
103
104    fn extend(&mut self, other: &Series) -> PolarsResult<()> {
105        polars_ensure!(self.0.dtype() == other.dtype(), extend);
106        self.0.extend(other.as_ref().as_ref())?;
107        Ok(())
108    }
109
110    fn filter(&self, filter: &BooleanChunked) -> PolarsResult<Series> {
111        ChunkFilter::filter(&self.0, filter).map(|ca| ca.into_series())
112    }
113
114    fn take(&self, indices: &IdxCa) -> PolarsResult<Series> {
115        Ok(self.0.take(indices)?.into_series())
116    }
117
118    unsafe fn take_unchecked(&self, indices: &IdxCa) -> Series {
119        self.0.take_unchecked(indices).into_series()
120    }
121
122    fn take_slice(&self, indices: &[IdxSize]) -> PolarsResult<Series> {
123        Ok(self.0.take(indices)?.into_series())
124    }
125
126    unsafe fn take_slice_unchecked(&self, indices: &[IdxSize]) -> Series {
127        self.0.take_unchecked(indices).into_series()
128    }
129
130    fn deposit(&self, validity: &Bitmap) -> Series {
131        self.0.deposit(validity).into_series()
132    }
133
134    fn len(&self) -> usize {
135        self.0.len()
136    }
137
138    #[cfg(feature = "algorithm_group_by")]
139    fn n_unique(&self) -> PolarsResult<usize> {
140        // Only used by multi-key join validation, doesn't have to be optimal
141        self.group_tuples(true, false).map(|g| g.len())
142    }
143
144    #[cfg(feature = "algorithm_group_by")]
145    fn unique_id(&self) -> PolarsResult<(IdxSize, Vec<IdxSize>)> {
146        ChunkUnique::unique_id(&self.0)
147    }
148
149    fn rechunk(&self) -> Series {
150        self.0.rechunk().into_owned().into_series()
151    }
152
153    fn with_validity(&self, validity: Option<Bitmap>) -> Series {
154        self.0.clone().with_validity(validity).into_series()
155    }
156
157    fn new_from_index(&self, index: usize, length: usize) -> Series {
158        ChunkExpandAtIndex::new_from_index(&self.0, index, length).into_series()
159    }
160
161    fn cast(&self, dtype: &DataType, options: CastOptions) -> PolarsResult<Series> {
162        self.0.cast_with_options(dtype, options)
163    }
164
165    #[inline]
166    unsafe fn get_unchecked(&self, index: usize) -> AnyValue<'_> {
167        self.0.get_any_value_unchecked(index)
168    }
169
170    fn sort_with(&self, options: SortOptions) -> PolarsResult<Series> {
171        Ok(ChunkSort::sort_with(&self.0, options).into_series())
172    }
173
174    fn arg_sort(&self, options: SortOptions) -> IdxCa {
175        ChunkSort::arg_sort(&self.0, options)
176    }
177
178    fn null_count(&self) -> usize {
179        self.0.null_count()
180    }
181
182    fn has_nulls(&self) -> bool {
183        self.0.has_nulls()
184    }
185
186    fn is_null(&self) -> BooleanChunked {
187        self.0.is_null()
188    }
189
190    fn is_not_null(&self) -> BooleanChunked {
191        self.0.is_not_null()
192    }
193
194    fn reverse(&self) -> Series {
195        ChunkReverse::reverse(&self.0).into_series()
196    }
197
198    fn shift(&self, periods: i64) -> Series {
199        ChunkShift::shift(&self.0, periods).into_series()
200    }
201
202    fn clone_inner(&self) -> Arc<dyn SeriesTrait> {
203        Arc::new(SeriesWrap(Clone::clone(&self.0)))
204    }
205
206    fn find_validity_mismatch(&self, other: &Series, idxs: &mut Vec<IdxSize>) {
207        self.0.find_validity_mismatch(other, idxs)
208    }
209
210    fn as_any(&self) -> &dyn Any {
211        &self.0
212    }
213
214    fn as_any_mut(&mut self) -> &mut dyn Any {
215        &mut self.0
216    }
217
218    fn as_phys_any(&self) -> &dyn Any {
219        &self.0
220    }
221
222    fn as_arc_any(self: Arc<Self>) -> Arc<dyn Any + Send + Sync> {
223        self as _
224    }
225}