Rust 从特征到特征以及usize到f64的转换

我一直试图以一种非常通用的方式编写一些Rust代码，但没有明确指定类型.然而，我到达了一个点，我需要将usize转换为f64，但这不起作用.据推测，f64的精度不足以容纳任意的usize值.在夜间频道上编译时，我收到一条错误消息:error: the trait `core::convert::From<usize>` is not implemented for the type `f64` [E0277].

那么，如果我想写尽可能通用的代码，还有什么 Select 呢？很明显，我应该使用一种可能失败的trait (不同于Into或From).已经有这样的事了吗？有没有一个特点可以实现as的转换？

下面是代码.

#![feature(zero_one)]
use std::num::{Zero, One};
use std::ops::{Add, Mul, Div, Neg};
use std::convert::{From, Into};

/// Computes the reciprocal of a polynomial or of a truncation of a
/// series.
///
/// If the input is of length `n`, then this performs `n^2`
/// multiplications.  Therefore the complexity is `n^2` when the type
/// of the entries is bounded, but it can be larger if the type is
/// unbounded, as for BigInt's.
///
fn series_reciprocal<T>(a: &Vec<T>) -> Vec<T>
    where T: Zero + One + Add<Output=T> + Mul<Output=T> +
             Div<Output=T> + Neg<Output=T> + Copy {

    let mut res: Vec<T> = vec![T::zero(); a.len()];
    res[0] = T::one() / a[0];

    for i in 1..a.len() {
        res[i] = a.iter()
                  .skip(1)
                  .zip(res.iter())
                  .map(|(&a, &b)| a * b)
                  .fold(T::zero(), |a, b| a + b) / (-a[0]);
    }
    res
}

/// This computes the ratios `B_n/n!` for a range of values of `n`
/// where `B_n` are the Bernoulli numbers.  We use the formula
///
///    z/(e^z - 1) = \sum_{k=1}^\infty \frac {B_k}{k!} z^k.
///
/// To find the ratios we truncate the series
///
///    (e^z-1)/z = 1 + 1/(2!) z + 1/(3!) z^2 + ...
///
/// to the desired length and then compute the inverse.
///
fn bernoulli_over_factorial<T, U>(n: U) -> Vec<T>
    where
        U: Into<usize> + Copy,
        T: Zero + One + Add<Output=T> + Mul<Output=T> +
           Add<Output=T> + Div<Output=T> + Neg<Output=T> +
           Copy + From<usize> {
    let mut ans: Vec<T> = vec![T::zero(); n.into()];
    ans[0] = T::one();
    for k in 1..n.into() {
        ans[k] = ans[k - 1] / (k + 1).into();
    }
    series_reciprocal(&ans)
}

fn main() {
    let v = vec![1.0f32, 1.0f32];
    let inv = series_reciprocal(&v);
    println!("v = {:?}", v);
    println!("v^-1 = {:?}", inv);
    let bf = bernoulli_over_factorial::<f64,i8>(30i8);
}