| // 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. |
| |
| use std::fmt::{self, Display, Formatter}; |
| |
| use datafusion::logical_expr::expr::Lambda; |
| use pyo3::prelude::*; |
| |
| use super::PyExpr; |
| |
| #[pyclass( |
| from_py_object, |
| frozen, |
| name = "Lambda", |
| module = "datafusion.expr", |
| subclass |
| )] |
| #[derive(Clone)] |
| pub struct PyLambda { |
| lambda: Lambda, |
| } |
| |
| impl From<Lambda> for PyLambda { |
| fn from(lambda: Lambda) -> PyLambda { |
| PyLambda { lambda } |
| } |
| } |
| |
| impl From<PyLambda> for Lambda { |
| fn from(lambda: PyLambda) -> Self { |
| lambda.lambda |
| } |
| } |
| |
| impl Display for PyLambda { |
| fn fmt(&self, f: &mut Formatter) -> fmt::Result { |
| write!( |
| f, |
| "Lambda(params={:?}, body={:?})", |
| &self.lambda.params, &self.lambda.body, |
| ) |
| } |
| } |
| |
| #[pymethods] |
| impl PyLambda { |
| /// Parameter names of the lambda. |
| fn params(&self) -> Vec<String> { |
| self.lambda.params.clone() |
| } |
| |
| /// Body expression of the lambda. |
| fn body(&self) -> PyExpr { |
| (*self.lambda.body).clone().into() |
| } |
| |
| fn __repr__(&self) -> PyResult<String> { |
| Ok(format!("Lambda({self})")) |
| } |
| |
| fn __name__(&self) -> PyResult<String> { |
| Ok("Lambda".to_string()) |
| } |
| } |