js_randomness_predictor/
errors.rs

1use std::{
2  error::Error,
3  fmt::{Display, Formatter, Result},
4  sync::{MutexGuard, PoisonError},
5};
6
7#[derive(Debug)]
8pub enum InitError {
9  Unsat,
10  MissingModel,
11  EvalFailed(&'static str),
12  ConvertFailed(&'static str),
13}
14
15impl Display for InitError {
16  fn fmt(&self, f: &mut Formatter<'_>) -> Result {
17    use InitError::*;
18    #[allow(clippy::implicit_return)]
19    match self {
20      Unsat => write!(f, "Solver returned UNSAT"),
21      MissingModel => write!(f, "Failed to get model from solver"),
22      EvalFailed(field) => write!(f, "Failed to evaluate {field}"),
23      ConvertFailed(field) => write!(f, "Failed to convert {field} to u64"),
24    }
25  }
26}
27
28impl Error for InitError {}
29
30#[derive(Debug)]
31pub struct PredictionLimitError;
32
33impl Display for PredictionLimitError {
34  fn fmt(&self, f: &mut Formatter<'_>) -> Result {
35    return write!(
36      f,
37      "Prediction count exceeded maximum. 'Initial sequence length' + 'number of predictions' cannot exceed 64! See README for more info!\nPlease call 'reset' with a 'new sequence'! eg. `<instance>.reset(new_sequence)``"
38    );
39  }
40}
41
42impl Error for PredictionLimitError {}
43
44impl From<PoisonError<MutexGuard<'_, u8>>> for PredictionLimitError {
45  fn from(_: PoisonError<MutexGuard<'_, u8>>) -> Self {
46    return PredictionLimitError;
47  }
48}
js_randomness_predictor/errors.rs

js_randomness_predictor/
errors.rs
