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move Floor, Gcd, Lcm, Pi to datafusion-functions
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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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| use arrow::array::{ArrayRef, Int64Array}; | ||
| use std::any::Any; | ||
| use std::mem::swap; | ||
| use std::sync::Arc; | ||
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| use arrow::datatypes::DataType; | ||
| use arrow::datatypes::DataType::Int64; | ||
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| use crate::utils::make_scalar_function; | ||
| use datafusion_common::{exec_err, DataFusionError, Result}; | ||
| use datafusion_expr::ColumnarValue; | ||
| use datafusion_expr::{ScalarUDFImpl, Signature, Volatility}; | ||
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| #[derive(Debug)] | ||
| pub struct GcdFunc { | ||
| signature: Signature, | ||
| } | ||
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| impl Default for GcdFunc { | ||
| fn default() -> Self { | ||
| Self::new() | ||
| } | ||
| } | ||
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|
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| impl GcdFunc { | ||
| pub fn new() -> Self { | ||
| use DataType::*; | ||
| Self { | ||
| signature: Signature::uniform(2, vec![Int64], Volatility::Immutable), | ||
| } | ||
| } | ||
| } | ||
|
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| impl ScalarUDFImpl for GcdFunc { | ||
| fn as_any(&self) -> &dyn Any { | ||
| self | ||
| } | ||
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| fn name(&self) -> &str { | ||
| "gcd" | ||
| } | ||
|
|
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| fn signature(&self) -> &Signature { | ||
| &self.signature | ||
| } | ||
|
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| fn return_type(&self, _arg_types: &[DataType]) -> Result<DataType> { | ||
| Ok(Int64) | ||
| } | ||
|
|
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| fn invoke(&self, args: &[ColumnarValue]) -> Result<ColumnarValue> { | ||
| make_scalar_function(gcd, vec![])(args) | ||
| } | ||
| } | ||
|
|
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| /// Gcd SQL function | ||
| fn gcd(args: &[ArrayRef]) -> Result<ArrayRef> { | ||
| match args[0].data_type() { | ||
| Int64 => Ok(Arc::new(make_function_inputs2!( | ||
| &args[0], | ||
| &args[1], | ||
| "x", | ||
| "y", | ||
| Int64Array, | ||
| Int64Array, | ||
| { compute_gcd } | ||
| )) as ArrayRef), | ||
| other => exec_err!("Unsupported data type {other:?} for function gcd"), | ||
| } | ||
| } | ||
|
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| /// Computes greatest common divisor using Binary GCD algorithm. | ||
| pub fn compute_gcd(x: i64, y: i64) -> i64 { | ||
| let mut a = x.wrapping_abs(); | ||
| let mut b = y.wrapping_abs(); | ||
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|
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| if a == 0 { | ||
| return b; | ||
| } | ||
| if b == 0 { | ||
| return a; | ||
| } | ||
|
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| let shift = (a | b).trailing_zeros(); | ||
| a >>= shift; | ||
| b >>= shift; | ||
| a >>= a.trailing_zeros(); | ||
|
|
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| loop { | ||
| b >>= b.trailing_zeros(); | ||
| if a > b { | ||
| swap(&mut a, &mut b); | ||
| } | ||
|
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| b -= a; | ||
|
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| if b == 0 { | ||
| return a << shift; | ||
| } | ||
| } | ||
| } | ||
|
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| #[cfg(test)] | ||
| mod test { | ||
| use std::sync::Arc; | ||
|
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| use arrow::array::{ArrayRef, Int64Array}; | ||
|
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| use crate::math::gcd::gcd; | ||
| use datafusion_common::cast::as_int64_array; | ||
|
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| #[test] | ||
| fn test_gcd_i64() { | ||
| let args: Vec<ArrayRef> = vec![ | ||
| Arc::new(Int64Array::from(vec![0, 3, 25, -16])), // x | ||
| Arc::new(Int64Array::from(vec![0, -2, 15, 8])), // y | ||
| ]; | ||
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| let result = gcd(&args).expect("failed to initialize function gcd"); | ||
| let ints = as_int64_array(&result).expect("failed to initialize function gcd"); | ||
|
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| assert_eq!(ints.len(), 4); | ||
| assert_eq!(ints.value(0), 0); | ||
| assert_eq!(ints.value(1), 1); | ||
| assert_eq!(ints.value(2), 5); | ||
| assert_eq!(ints.value(3), 8); | ||
| } | ||
| } |
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