fn new()

in candle-pyo3/src/lib.rs [236:274]
39 lines of code
14 McCabe index (conditional complexity)

    fn new(py: Python<'_>, data: PyObject) -> PyResult<Self> {
        use Device::Cpu;
        let tensor = if let Ok(vs) = data.extract::<u32>(py) {
            Tensor::new(vs, &Cpu).map_err(wrap_err)?
        } else if let Ok(vs) = data.extract::<i64>(py) {
            Tensor::new(vs, &Cpu).map_err(wrap_err)?
        } else if let Ok(vs) = data.extract::<f32>(py) {
            Tensor::new(vs, &Cpu).map_err(wrap_err)?
        } else if let Ok(vs) = data.extract::<Vec<u32>>(py) {
            let len = vs.len();
            Tensor::from_vec(vs, len, &Cpu).map_err(wrap_err)?
        } else if let Ok(vs) = data.extract::<Vec<i64>>(py) {
            let len = vs.len();
            Tensor::from_vec(vs, len, &Cpu).map_err(wrap_err)?
        } else if let Ok(vs) = data.extract::<Vec<f32>>(py) {
            let len = vs.len();
            Tensor::from_vec(vs, len, &Cpu).map_err(wrap_err)?
        } else if let Ok(vs) = data.extract::<Vec<Vec<u32>>>(py) {
            Tensor::new(vs, &Cpu).map_err(wrap_err)?
        } else if let Ok(vs) = data.extract::<Vec<Vec<i64>>>(py) {
            Tensor::new(vs, &Cpu).map_err(wrap_err)?
        } else if let Ok(vs) = data.extract::<Vec<Vec<f32>>>(py) {
            Tensor::new(vs, &Cpu).map_err(wrap_err)?
        } else if let Ok(vs) = data.extract::<Vec<Vec<Vec<u32>>>>(py) {
            Tensor::new(vs, &Cpu).map_err(wrap_err)?
        } else if let Ok(vs) = data.extract::<Vec<Vec<Vec<i64>>>>(py) {
            Tensor::new(vs, &Cpu).map_err(wrap_err)?
        } else if let Ok(vs) = data.extract::<Vec<Vec<Vec<f32>>>>(py) {
            Tensor::new(vs, &Cpu).map_err(wrap_err)?
        } else if let Ok(TorchTensor(numpy)) = data.extract::<TorchTensor>(py) {
            return PyTensor::new(py, numpy);
        } else {
            let ty = data.bind(py).get_type();
            Err(PyTypeError::new_err(format!(
                "incorrect type {ty} for tensor"
            )))?
        };
        Ok(Self(tensor))
    }