deep_causality_discovery 0.7.1

Causality discovery DSL for the DeepCausality project.
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40

/*
 * SPDX-License-Identifier: MIT
 * Copyright (c) 2023 - 2026. The DeepCausality Authors and Contributors. All Rights Reserved.
 */

use deep_causality_discovery::PreprocessError;
use std::error::Error;

#[test]
fn test_display() {
    let err = PreprocessError::InvalidColumnIdentifier("column_name".to_string());
    assert_eq!(err.to_string(), "Invalid column identifier: column_name");

    let err = PreprocessError::BinningError("not enough data".to_string());
    assert_eq!(err.to_string(), "Binning error: not enough data");

    let err = PreprocessError::ConfigError("invalid bin count".to_string());
    assert_eq!(
        err.to_string(),
        "Invalid preprocessing configuration: invalid bin count"
    );

    let err = PreprocessError::ImputeError("all NaNs in column".to_string());
    assert_eq!(err.to_string(), "Imputation error: all NaNs in column");
}

#[test]
fn test_source() {
    let err = PreprocessError::InvalidColumnIdentifier("column_name".to_string());
    assert!(err.source().is_none());

    let err = PreprocessError::BinningError("not enough data".to_string());
    assert!(err.source().is_none());

    let err = PreprocessError::ConfigError("invalid bin count".to_string());
    assert!(err.source().is_none());

    let err = PreprocessError::ImputeError("all NaNs in column".to_string());
    assert!(err.source().is_none());
}