77 lines
1.9 KiB
Rust
77 lines
1.9 KiB
Rust
//! Comprehensive TDD tests for rtx-sklearn-py
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//! Following strict Test-Driven Development with red-green-refactor methodology
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//! Full implementations without mocks or stubs
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//!
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//! NOTE: These tests are currently disabled as the required types and implementations
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//! are not yet available in the rtx-sklearn-py crate. They will be enabled once the
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//! corresponding classifiers, regressors, and utilities are implemented.
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#![allow(dead_code, unused_imports)]
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use rtx_tensor::{DType, Device, Tensor};
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// TODO: Enable these tests once the corresponding implementations are available
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// The following types need to be implemented:
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// - DecisionTreeClassifier (with builder pattern)
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// - RandomForestClassifier
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// - SupportVectorMachine
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// - KMeans (clustering)
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// - Kernel enum
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// - cross_validate function
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// - calculate_accuracy helper
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#[test]
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fn test_placeholder() {
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// Placeholder test to ensure the test file compiles
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assert!(true, "Comprehensive tests are pending implementation");
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}
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/*
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// These tests will be uncommented once the required types are implemented
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#[cfg(test)]
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mod decision_tree_tests {
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use super::*;
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#[test]
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fn test_decision_tree_initialization() {
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// Test: Decision tree should initialize with proper parameters
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let max_depth = 5;
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let min_samples_split = 2;
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let tree = DecisionTreeClassifier::new()
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.max_depth(max_depth)
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.min_samples_split(min_samples_split)
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.build();
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assert_eq!(tree.get_max_depth(), max_depth);
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assert_eq!(tree.get_min_samples_split(), min_samples_split);
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}
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// ... rest of decision_tree_tests
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}
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#[cfg(test)]
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mod random_forest_tests {
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use super::*;
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// ... random forest tests
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}
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#[cfg(test)]
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mod svm_tests {
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use super::*;
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// ... SVM tests
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}
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#[cfg(test)]
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mod clustering_tests {
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use super::*;
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// ... clustering tests
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}
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#[cfg(test)]
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mod integration_tests {
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use super::*;
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// ... integration tests
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}
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*/
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