reifydb_function/math/scalar/
tan.rs

1// SPDX-License-Identifier: AGPL-3.0-or-later
2// Copyright (c) 2025 ReifyDB
3
4use num_traits::ToPrimitive;
5use reifydb_core::value::column::data::ColumnData;
6use reifydb_type::value::r#type::Type;
7
8use crate::{
9	ScalarFunction, ScalarFunctionContext,
10	error::{ScalarFunctionError, ScalarFunctionResult},
11	propagate_options,
12};
13
14pub struct Tan;
15
16impl Tan {
17	pub fn new() -> Self {
18		Self
19	}
20}
21
22fn numeric_to_f64(data: &ColumnData, i: usize) -> Option<f64> {
23	match data {
24		ColumnData::Int1(c) => c.get(i).map(|&v| v as f64),
25		ColumnData::Int2(c) => c.get(i).map(|&v| v as f64),
26		ColumnData::Int4(c) => c.get(i).map(|&v| v as f64),
27		ColumnData::Int8(c) => c.get(i).map(|&v| v as f64),
28		ColumnData::Int16(c) => c.get(i).map(|&v| v as f64),
29		ColumnData::Uint1(c) => c.get(i).map(|&v| v as f64),
30		ColumnData::Uint2(c) => c.get(i).map(|&v| v as f64),
31		ColumnData::Uint4(c) => c.get(i).map(|&v| v as f64),
32		ColumnData::Uint8(c) => c.get(i).map(|&v| v as f64),
33		ColumnData::Uint16(c) => c.get(i).map(|&v| v as f64),
34		ColumnData::Float4(c) => c.get(i).map(|&v| v as f64),
35		ColumnData::Float8(c) => c.get(i).copied(),
36		ColumnData::Int {
37			container,
38			..
39		} => container.get(i).map(|v| v.0.to_f64().unwrap_or(0.0)),
40		ColumnData::Uint {
41			container,
42			..
43		} => container.get(i).map(|v| v.0.to_f64().unwrap_or(0.0)),
44		ColumnData::Decimal {
45			container,
46			..
47		} => container.get(i).map(|v| v.0.to_f64().unwrap_or(0.0)),
48		_ => None,
49	}
50}
51
52impl ScalarFunction for Tan {
53	fn scalar(&self, ctx: ScalarFunctionContext) -> ScalarFunctionResult<ColumnData> {
54		if let Some(result) = propagate_options(self, &ctx) {
55			return result;
56		}
57		let columns = ctx.columns;
58		let row_count = ctx.row_count;
59
60		if columns.len() != 1 {
61			return Err(ScalarFunctionError::ArityMismatch {
62				function: ctx.fragment.clone(),
63				expected: 1,
64				actual: columns.len(),
65			});
66		}
67
68		let column = columns.get(0).unwrap();
69
70		if !column.data().get_type().is_number() {
71			return Err(ScalarFunctionError::InvalidArgumentType {
72				function: ctx.fragment.clone(),
73				argument_index: 0,
74				expected: vec![
75					Type::Int1,
76					Type::Int2,
77					Type::Int4,
78					Type::Int8,
79					Type::Int16,
80					Type::Uint1,
81					Type::Uint2,
82					Type::Uint4,
83					Type::Uint8,
84					Type::Uint16,
85					Type::Float4,
86					Type::Float8,
87					Type::Int,
88					Type::Uint,
89					Type::Decimal,
90				],
91				actual: column.data().get_type(),
92			});
93		}
94
95		let mut result = Vec::with_capacity(row_count);
96		let mut bitvec = Vec::with_capacity(row_count);
97
98		for i in 0..row_count {
99			match numeric_to_f64(column.data(), i) {
100				Some(v) => {
101					result.push(v.tan());
102					bitvec.push(true);
103				}
104				None => {
105					result.push(0.0);
106					bitvec.push(false);
107				}
108			}
109		}
110
111		Ok(ColumnData::float8_with_bitvec(result, bitvec))
112	}
113
114	fn return_type(&self, _input_types: &[Type]) -> Type {
115		Type::Float8
116	}
117}
reifydb_function/math/scalar/tan.rs

reifydb_function/math/scalar/
tan.rs
