move Atan2, Atan, Acosh, Asinh, Atanh to datafusion-function
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| // Licensed to the Apache Software Foundation (ASF) under one | ||
| // or more contributor license agreements. See the NOTICE file | ||
| // distributed with this work for additional information | ||
| // regarding copyright ownership. The ASF licenses this file | ||
| // to you under the Apache License, Version 2.0 (the | ||
| // "License"); you may not use this file except in compliance | ||
| // with the License. You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, | ||
| // software distributed under the License is distributed on an | ||
| // "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
| // KIND, either express or implied. See the License for the | ||
| // specific language governing permissions and limitations | ||
| // under the License. | ||
|
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| //! Math function: `atan2()`. | ||
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| use arrow::array::{ArrayRef, Float32Array, Float64Array}; | ||
| use arrow::datatypes::DataType; | ||
| use datafusion_common::DataFusionError; | ||
| use datafusion_common::{exec_err, Result}; | ||
| use datafusion_expr::ColumnarValue; | ||
| use datafusion_expr::TypeSignature::*; | ||
| use datafusion_expr::{ScalarUDFImpl, Signature, Volatility}; | ||
| use std::any::Any; | ||
| use std::sync::Arc; | ||
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| use crate::make_function_inputs2; | ||
| use crate::utils::make_scalar_function; | ||
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| #[derive(Debug)] | ||
| pub(super) struct Atan2 { | ||
| signature: Signature, | ||
| } | ||
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| impl Atan2 { | ||
| pub fn new() -> Self { | ||
| use DataType::*; | ||
| Self { | ||
| signature: Signature::one_of( | ||
| vec![Exact(vec![Float32, Float32]), Exact(vec![Float64, Float64])], | ||
| Volatility::Immutable, | ||
| ), | ||
| } | ||
| } | ||
| } | ||
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| impl ScalarUDFImpl for Atan2 { | ||
| fn as_any(&self) -> &dyn Any { | ||
| self | ||
| } | ||
| fn name(&self) -> &str { | ||
| "atan2" | ||
| } | ||
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| fn signature(&self) -> &Signature { | ||
| &self.signature | ||
| } | ||
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| fn return_type(&self, arg_types: &[DataType]) -> Result<DataType> { | ||
| use self::DataType::*; | ||
| match &arg_types[0] { | ||
| Float32 => Ok(Float32), | ||
| _ => Ok(Float64), | ||
| } | ||
| } | ||
|
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| fn invoke(&self, args: &[ColumnarValue]) -> Result<ColumnarValue> { | ||
| make_scalar_function(atan2, vec![])(args) | ||
| } | ||
| } | ||
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| /// Atan2 SQL function | ||
| pub fn atan2(args: &[ArrayRef]) -> Result<ArrayRef> { | ||
| match args[0].data_type() { | ||
| DataType::Float64 => Ok(Arc::new(make_function_inputs2!( | ||
| &args[0], | ||
| &args[1], | ||
| "y", | ||
| "x", | ||
| Float64Array, | ||
| { f64::atan2 } | ||
| )) as ArrayRef), | ||
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| DataType::Float32 => Ok(Arc::new(make_function_inputs2!( | ||
| &args[0], | ||
| &args[1], | ||
| "y", | ||
| "x", | ||
| Float32Array, | ||
| { f32::atan2 } | ||
| )) as ArrayRef), | ||
|
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| other => exec_err!("Unsupported data type {other:?} for function atan2"), | ||
| } | ||
| } | ||
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| #[cfg(test)] | ||
| mod test { | ||
| use super::*; | ||
| use datafusion_common::cast::{as_float32_array, as_float64_array}; | ||
|
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| #[test] | ||
| fn test_atan2_f64() { | ||
| let args: Vec<ArrayRef> = vec![ | ||
| Arc::new(Float64Array::from(vec![2.0, -3.0, 4.0, -5.0])), // y | ||
| Arc::new(Float64Array::from(vec![1.0, 2.0, -3.0, -4.0])), // x | ||
| ]; | ||
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| let result = atan2(&args).expect("failed to initialize function atan2"); | ||
| let floats = | ||
| as_float64_array(&result).expect("failed to initialize function atan2"); | ||
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| assert_eq!(floats.len(), 4); | ||
| assert_eq!(floats.value(0), (2.0_f64).atan2(1.0)); | ||
| assert_eq!(floats.value(1), (-3.0_f64).atan2(2.0)); | ||
| assert_eq!(floats.value(2), (4.0_f64).atan2(-3.0)); | ||
| assert_eq!(floats.value(3), (-5.0_f64).atan2(-4.0)); | ||
| } | ||
|
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| #[test] | ||
| fn test_atan2_f32() { | ||
| let args: Vec<ArrayRef> = vec![ | ||
| Arc::new(Float32Array::from(vec![2.0, -3.0, 4.0, -5.0])), // y | ||
| Arc::new(Float32Array::from(vec![1.0, 2.0, -3.0, -4.0])), // x | ||
| ]; | ||
|
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| let result = atan2(&args).expect("failed to initialize function atan2"); | ||
| let floats = | ||
| as_float32_array(&result).expect("failed to initialize function atan2"); | ||
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| assert_eq!(floats.len(), 4); | ||
| assert_eq!(floats.value(0), (2.0_f32).atan2(1.0)); | ||
| assert_eq!(floats.value(1), (-3.0_f32).atan2(2.0)); | ||
| assert_eq!(floats.value(2), (4.0_f32).atan2(-3.0)); | ||
| assert_eq!(floats.value(3), (-5.0_f32).atan2(-4.0)); | ||
| } | ||
| } | ||
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Maybe if we have more two argument math functions we can eventually macroize this like we have a macro for single argument functions