Files
RustPython/vm/src/stdlib/random.rs
2018-12-12 19:41:09 +01:00

65 lines
2.1 KiB
Rust

//! Random module.
extern crate rand;
use super::super::obj::{objfloat, objtype};
use super::super::pyobject::{PyContext, PyFuncArgs, PyObjectRef, PyResult, TypeProtocol};
use super::super::VirtualMachine;
use stdlib::random::rand::distributions::{Distribution, Normal};
pub fn mk_module(ctx: &PyContext) -> PyObjectRef {
let py_mod = ctx.new_module(&"random".to_string(), ctx.new_scope(None));
ctx.set_attr(&py_mod, "gauss", ctx.new_rustfunc(random_gauss));
ctx.set_attr(
&py_mod,
"normalvariate",
ctx.new_rustfunc(random_normalvariate),
);
ctx.set_attr(&py_mod, "random", ctx.new_rustfunc(random_random));
// py_mod.set_attr("weibull", ctx.new_rustfunc(random_weibullvariate));
// TODO: implement more random functions.
py_mod
}
fn random_gauss(vm: &mut VirtualMachine, args: PyFuncArgs) -> PyResult {
// TODO: is this the same?
random_normalvariate(vm, args)
}
fn random_normalvariate(vm: &mut VirtualMachine, args: PyFuncArgs) -> PyResult {
arg_check!(
vm,
args,
required = [
(mu, Some(vm.ctx.float_type())),
(sigma, Some(vm.ctx.float_type()))
]
);
let mu = objfloat::get_value(mu);
let sigma = objfloat::get_value(sigma);
let normal = Normal::new(mu, sigma);
let value = normal.sample(&mut rand::thread_rng());
let py_value = vm.ctx.new_float(value);
Ok(py_value)
}
fn random_random(vm: &mut VirtualMachine, args: PyFuncArgs) -> PyResult {
arg_check!(vm, args);
let value = rand::random::<f64>();
let py_value = vm.ctx.new_float(value);
Ok(py_value)
}
/*
* TODO: enable this function:
fn random_weibullvariate(vm: &mut VirtualMachine, args: PyFuncArgs) -> PyResult {
arg_check!(vm, args, required = [(alpha, Some(vm.ctx.float_type())), (beta, Some(vm.ctx.float_type()))]);
let alpha = objfloat::get_value(alpha);
let beta = objfloat::get_value(beta);
let weibull = Weibull::new(alpha, beta);
let value = weibull.sample(&mut rand::thread_rng());
let py_value = vm.ctx.new_float(value);
Ok(py_value)
}
*/