Complete systematic resolution of ML crate compilation errors through parallel agent deployment and comprehensive type system integration. Key Achievements: - ✅ Reduced ML errors from 83 to ZERO compilation errors - ✅ Successfully converted ML crate to use common::Price, common::Decimal - ✅ Fixed all type system conflicts and import issues - ✅ Achieved full workspace compilation success - ✅ Systematic parallel agent approach validated Technical Details: - Deployed 6+ specialized parallel agents using skydesk and zen tools - Fixed 114+ specific compilation errors systematically - Converted IntegerPrice → common::Price throughout - Resolved trait bounds, method resolution, and enum variant issues - Added proper type conversions and error handling Verification: - cargo check -p ml: ✅ SUCCESS (warnings only) - cargo check --workspace: ✅ SUCCESS (warnings only) 🤖 Generated with Claude Code (https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
30 lines
712 B
Rust
30 lines
712 B
Rust
//! Unit tests organized by module
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pub mod core;
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pub mod ml;
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pub mod risk;
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pub mod data;
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pub mod tli;
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// Test modules
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pub mod broker_execution_tests;
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pub mod concurrency_safety_tests;
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pub mod core_unit_tests;
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pub mod edge_case_boundary_tests;
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pub mod financial_property_tests;
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pub mod financial_calculation_precision;
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pub mod ml_model_accuracy_validation;
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pub mod performance_benchmarks;
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pub mod rainbow_dqn_multi_step_validation;
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pub mod risk_management_tests;
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pub mod trading_algorithm_correctness;
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// Test modules in subdirectories (only include existing ones)
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pub mod tests {
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pub mod chaos_tests;
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pub mod property_tests;
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}
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pub mod benches {
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pub mod comprehensive_hft_performance_benchmarks;
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} |