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noise_models.rs
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/
noise_models.rs
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// Copyright © 2021-2022 HQS Quantum Simulations GmbH. All Rights Reserved.
//
// Licensed 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 quote::quote;
use syn::{parse_macro_input, ItemImpl};
pub fn noise_model_wrapper_def(
_metadata: proc_macro::TokenStream,
input: proc_macro::TokenStream,
) -> proc_macro::TokenStream {
let parsed_input = parse_macro_input!(input as ItemImpl);
let ident = parsed_input.self_ty;
let items = parsed_input.items;
let q = quote! {
#[pymethods]
impl #ident {
#(#items)*
/// Returns a copy of the device (copy here produces a deepcopy).
///
/// Returns:
/// A deep copy of self.
///
pub fn __copy__(&self) -> Self {
self.clone()
}
/// Creates deep copy of Noise-Model.
///
/// Returns:
/// A deep copy of self.
///
pub fn __deepcopy__(&self, _memodict: &Bound<PyAny>) -> Self {
self.clone()
}
/// Return the bincode representation of the Noise-Model using the bincode crate.
///
/// Returns:
/// ByteArray: The serialized Noise-Model (in bincode form).
///
/// Raises:
/// ValueError: Cannot serialize Noise-Model to bytes.
///
pub fn to_bincode(&self) -> PyResult<Py<pyo3::types::PyByteArray>> {
let noise_model = NoiseModel::from(self.internal.clone());
let serialized = bincode::serialize(&noise_model)
.map_err(|_| pyo3::exceptions::PyValueError::new_err("Cannot serialize Noise-Model to bytes"))?;
let b: Py<pyo3::types::PyByteArray> = Python::with_gil(|py| -> Py<pyo3::types::PyByteArray> {
pyo3::types::PyByteArray::new_bound(py, &serialized[..]).into()
});
Ok(b)
}
/// Return the json representation of the Noise-Model.
///
/// Returns:
/// str: The serialized form of Noise-Model.
///
/// Raises:
/// ValueError: Cannot serialize Noise-Model to json.
///
pub fn to_json(&self) -> PyResult<String> {
let noise_model = NoiseModel::from(self.internal.clone());
let serialized = serde_json::to_string(&noise_model)
.map_err(|_| pyo3::exceptions::PyValueError::new_err("Cannot serialize Noise-Model to json"))?;
Ok(serialized)
}
#[cfg(feature = "json_schema")]
/// Returns the current version of the qoqo library .
///
/// Returns:
/// str: The current version of the library.
#[staticmethod]
pub fn current_version() -> String {
ROQOQO_VERSION.to_string()
}
#[cfg(feature = "json_schema")]
/// Return the minimum version of qoqo that supports this object.
///
/// Returns:
/// str: The minimum version of the qoqo library to deserialize this object.
pub fn min_supported_version(&self) -> String {
let min_version: (u32, u32, u32) =
NoiseModel::minimum_supported_roqoqo_version(&NoiseModel::from(self.internal.clone()));
format!("{}.{}.{}", min_version.0, min_version.1, min_version.2)
}
/// Return the __richcmp__ magic method to perform rich comparison operations on mixed system.
///
/// Args:
/// other: The object to compare self to.
/// op: Whether they should be equal or not.
///
/// Returns:
/// bool: Whether they are equal or not.
///
/// Raises:
/// NotImplementedError: Other comparison not implemented.
///
fn __richcmp__(&self, other: &Bound<PyAny>, op: pyo3::class::basic::CompareOp) -> PyResult<bool> {
let other = #ident::from_pyany(other);
match op {
pyo3::class::basic::CompareOp::Eq => match other {
Ok(osystem) => Ok(NoiseModel::from(self.internal.clone()) == osystem),
_ => Ok(false),
},
pyo3::class::basic::CompareOp::Ne => match other {
Ok(osystem) => Ok(NoiseModel::from(self.internal.clone()) != osystem),
_ => Ok(true),
},
_ => Err(pyo3::exceptions::PyNotImplementedError::new_err(
"Other comparison not implemented",
)),
}
}
}
impl #ident {
/// Fallible conversion of generic python object..
pub fn from_pyany(input: &Bound<PyAny>) -> PyResult<NoiseModel> {
if let Ok(try_downcast) = input.extract::<#ident>() {
Ok(try_downcast.internal.into())
} else {
let get_bytes = input.call_method0("to_bincode")?;
let bytes = get_bytes.extract::<Vec<u8>>()?;
bincode::deserialize(&bytes[..]).map_err(|err| {
pyo3::exceptions::PyValueError::new_err(format!(
"Cannot treat input as NoiseModel: {}",
err
))
})
}
}
}
};
q.into()
}