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Port tan, tanh to datafusion-functions (#9535)
* Port tan function * Port tanh function * Remove length checking of arg_types in return_type --------- Co-authored-by: Andrew Lamb <[email protected]>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,98 @@ | ||
| // 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. | ||
|
|
||
| //! Math function: `tan()`. | ||
| use std::any::Any; | ||
| use std::sync::Arc; | ||
|
|
||
| use arrow::datatypes::DataType; | ||
| use arrow_array::{ArrayRef, Float32Array, Float64Array}; | ||
| use datafusion_common::{exec_err, DataFusionError, Result}; | ||
| use datafusion_expr::Volatility; | ||
| use datafusion_expr::{ColumnarValue, ScalarUDFImpl, Signature}; | ||
|
|
||
| #[derive(Debug)] | ||
| pub struct TanFunc { | ||
| signature: Signature, | ||
| } | ||
|
|
||
| impl TanFunc { | ||
| pub fn new() -> Self { | ||
| Self { | ||
| signature: Signature::uniform( | ||
| 1, | ||
| vec![DataType::Float64, DataType::Float32], | ||
| Volatility::Immutable, | ||
| ), | ||
| } | ||
| } | ||
| } | ||
|
|
||
| impl ScalarUDFImpl for TanFunc { | ||
| fn as_any(&self) -> &dyn Any { | ||
| self | ||
| } | ||
|
|
||
| fn name(&self) -> &str { | ||
| "tan" | ||
| } | ||
|
|
||
| fn signature(&self) -> &Signature { | ||
| &self.signature | ||
| } | ||
|
|
||
| fn return_type(&self, arg_types: &[DataType]) -> Result<DataType> { | ||
| let arg_type = &arg_types[0]; | ||
|
|
||
| match arg_type { | ||
| DataType::Float64 => Ok(DataType::Float64), | ||
| DataType::Float32 => Ok(DataType::Float32), | ||
|
|
||
| // For other types (possible values null/int), use Float 64 | ||
| _ => Ok(DataType::Float64), | ||
| } | ||
| } | ||
|
|
||
| fn invoke(&self, args: &[ColumnarValue]) -> Result<ColumnarValue> { | ||
| let args = ColumnarValue::values_to_arrays(args)?; | ||
|
|
||
| let arr: ArrayRef = match args[0].data_type() { | ||
| DataType::Float64 => Arc::new(make_function_scalar_inputs_return_type!( | ||
| &args[0], | ||
| self.name(), | ||
| Float64Array, | ||
| Float64Array, | ||
| { f64::tan } | ||
| )), | ||
| DataType::Float32 => Arc::new(make_function_scalar_inputs_return_type!( | ||
| &args[0], | ||
| self.name(), | ||
| Float32Array, | ||
| Float32Array, | ||
| { f32::tan } | ||
| )), | ||
| other => { | ||
| return exec_err!( | ||
| "Unsupported data type {other:?} for function {}", | ||
| self.name() | ||
| ) | ||
| } | ||
| }; | ||
| Ok(ColumnarValue::Array(arr)) | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,98 @@ | ||
| // 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. | ||
|
|
||
| //! Math function: `tanh()`. | ||
| use std::any::Any; | ||
| use std::sync::Arc; | ||
|
|
||
| use arrow::datatypes::DataType; | ||
| use arrow_array::{ArrayRef, Float32Array, Float64Array}; | ||
| use datafusion_common::{exec_err, DataFusionError, Result}; | ||
| use datafusion_expr::Volatility; | ||
| use datafusion_expr::{ColumnarValue, ScalarUDFImpl, Signature}; | ||
|
|
||
| #[derive(Debug)] | ||
| pub struct TanhFunc { | ||
| signature: Signature, | ||
| } | ||
|
|
||
| impl TanhFunc { | ||
| pub fn new() -> Self { | ||
| Self { | ||
| signature: Signature::uniform( | ||
| 1, | ||
| vec![DataType::Float64, DataType::Float32], | ||
| Volatility::Immutable, | ||
| ), | ||
| } | ||
| } | ||
| } | ||
|
|
||
| impl ScalarUDFImpl for TanhFunc { | ||
| fn as_any(&self) -> &dyn Any { | ||
| self | ||
| } | ||
|
|
||
| fn name(&self) -> &str { | ||
| "tanh" | ||
| } | ||
|
|
||
| fn signature(&self) -> &Signature { | ||
| &self.signature | ||
| } | ||
|
|
||
| fn return_type(&self, arg_types: &[DataType]) -> Result<DataType> { | ||
| let arg_type = &arg_types[0]; | ||
|
|
||
| match arg_type { | ||
| DataType::Float64 => Ok(DataType::Float64), | ||
| DataType::Float32 => Ok(DataType::Float32), | ||
|
|
||
| // For other types (possible values null/int), use Float 64 | ||
| _ => Ok(DataType::Float64), | ||
| } | ||
| } | ||
|
|
||
| fn invoke(&self, args: &[ColumnarValue]) -> Result<ColumnarValue> { | ||
| let args = ColumnarValue::values_to_arrays(args)?; | ||
|
|
||
| let arr: ArrayRef = match args[0].data_type() { | ||
| DataType::Float64 => Arc::new(make_function_scalar_inputs_return_type!( | ||
| &args[0], | ||
| self.name(), | ||
| Float64Array, | ||
| Float64Array, | ||
| { f64::tanh } | ||
| )), | ||
| DataType::Float32 => Arc::new(make_function_scalar_inputs_return_type!( | ||
| &args[0], | ||
| self.name(), | ||
| Float32Array, | ||
| Float32Array, | ||
| { f32::tanh } | ||
| )), | ||
| other => { | ||
| return exec_err!( | ||
| "Unsupported data type {other:?} for function {}", | ||
| self.name() | ||
| ) | ||
| } | ||
| }; | ||
| Ok(ColumnarValue::Array(arr)) | ||
| } | ||
| } |
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