Files
rustytorch/crates/training/rtx-automeasure/src/simple_test.rs
T
2026-03-04 00:08:42 +00:00

46 lines
1.6 KiB
Rust

#[cfg(test)]
mod tests {
use crate::error::{AutoMLError, AutoMLResult};
#[test]
fn test_automl_error_creation() {
let config_error = AutoMLError::ConfigurationError("Invalid configuration".to_string());
assert!(matches!(config_error, AutoMLError::ConfigurationError(_)));
let opt_error = AutoMLError::OptimizationError("Optimization failed".to_string());
assert!(matches!(opt_error, AutoMLError::OptimizationError(_)));
}
#[test]
fn test_automl_error_display() {
let error = AutoMLError::ResourceError("GPU memory insufficient".to_string());
let display_str = format!("{}", error);
assert!(display_str.contains("GPU memory insufficient"));
}
#[test]
fn test_automl_result_ok() {
let result: AutoMLResult<i32> = Ok(42);
assert!(result.is_ok());
assert_eq!(result.unwrap(), 42);
}
#[test]
fn test_automl_result_err() {
let result: AutoMLResult<i32> =
Err(AutoMLError::TimeoutError("Timeout occurred".to_string()));
assert!(result.is_err());
assert!(matches!(result.unwrap_err(), AutoMLError::TimeoutError(_)));
}
#[test]
fn test_automl_error_serialization() {
let error = AutoMLError::ConfigurationError("Serialization test".to_string());
let serialized = serde_json::to_string(&error).expect("Failed to serialize");
let deserialized: AutoMLError =
serde_json::from_str(&serialized).expect("Failed to deserialize");
assert!(matches!(deserialized, AutoMLError::ConfigurationError(_)));
}
}