feat(deep_causality): Added Programmatic Verification of Model Assumptions #277

marvin-hansen · 2025-07-30T12:18:09Z

User description

This PR introduces a formal mechanism to programmatically
verify the assumptions of a Model in deep_causality.

Describe your changes

Key Changes:

New AssumptionError Enum: A dedicated error enum
AssumptionError is introduced to handle failures related to
assumption verification.
Fallible EvalFn Signature: The EvalFn type alias is
updated to return a Result<bool, AssumptionError>, allowing
assumption functions to fail gracefully.
Transferable Trait: A new Transferable trait is
defined and implemented for the Model struct, providing a
standardized verify_assumptions method.
Comprehensive Unit Tests: New unit tests are added for
AssumptionError and Model::verify_assumptions to cover all
success and error cases.

Issue ticket number and link

Closes #275

Code checklist before requesting a review

I have signed the DCO?
All tests are passing when running make test?
No errors or security vulnerabilities are reported by make check?

For details on make, please see BUILD.md

Note: The CI runs all of the above and fixing things before they hit CI speeds
up the review and merge process. Thank you.

PR Type

Enhancement

Description

Enhanced causable reasoning with configurable aggregate logic
Added programmatic model assumption verification system
Introduced RelayTo effect for causaloid dispatching
Updated assumption functions to return Result types

Diagram Walkthrough

flowchart LR
  A["CausableReasoning Trait"] --> B["AggregateLogic Enum"]
  A --> C["RelayTo Effect Support"]
  D["Model Struct"] --> E["Transferable Trait"]
  E --> F["verify_assumptions Method"]
  G["Assumption Functions"] --> H["Result<bool, AssumptionError>"]
  I["PropagatingEffect"] --> J["AssumptionError Handling"]

File Walkthrough

Relevant files

Enhancement

10 files

causable_reasoning.rs `Enhanced causable reasoning with aggregate logic`	+462/-82
aggregate_logic.rs `Added AggregateLogic enum for configurable reasoning`	+25/-0
mod.rs `Added Transferable trait for model verification`	+22/-0
transferable.rs `Implemented Transferable trait for Model`	+44/-0
assumption_error.rs `Added AssumptionError enum for assumption failures`	+38/-0
mod.rs `Updated assumable traits with Result types`	+25/-7
assumable.rs `Updated assumption verification to return Result`	+9/-4
alias_function.rs `Updated EvalFn to return Result type`	+2/-2
mod.rs `Added get_item_by_id method implementations`	+19/-26
collections.rs `Added macros for item lookup functionality`	+38/-0

Tests

9 files

causable_vec_tests.rs `Updated tests with AggregateLogic parameter`	+28/-21
assumable_btree_map_tests.rs `Updated assumable tests with PropagatingEffect`	+48/-24
assumable_vec_deque_tests.rs `Updated assumable tests with PropagatingEffect`	+49/-24
assumable_hash_map_tests.rs `Updated assumable tests with PropagatingEffect`	+48/-24
assumable_arr_tests.rs `Updated assumable tests with PropagatingEffect`	+48/-24
assumable_vec_tests.rs `Updated assumable tests with PropagatingEffect`	+48/-24
model_tests.rs `Added model assumption verification tests`	+62/-23
assumption_tests.rs `Updated assumption tests with Result handling`	+34/-21
assumption_error_tests.rs `Added tests for AssumptionError enum`	+27/-0

Bug fix

1 files

mod.rs `Fixed type references in PropagatingEffect`	+13/-13

Additional files

15 files

bench_collection.rs	+12/-3
mod.rs	+3/-1
lib.rs	+3/-0
mod.rs	+1/-0
debug.rs	+1/-1
mod.rs	+1/-0
mod.rs	+1/-0
test_utils.rs	+2/-2
mod.rs	+2/-0
causable_arr_tests.rs	+11/-7
causable_btree_map_tests.rs	+10/-6
causable_map_tests.rs	+13/-8
causable_vec_deque_tests.rs	+10/-6
mod.rs	+2/-2
lib.rs	+15/-0

… to a different causaloid. Signed-off-by: Marvin Hansen <[email protected]>

Signed-off-by: Marvin Hansen <[email protected]>

…tions deepcausality-rs#275 Signed-off-by: Marvin Hansen <[email protected]>

Signed-off-by: Marvin Hansen <[email protected]>

codecov · 2025-07-30T12:19:11Z

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 95.67%. Comparing base (a569017) to head (a8fd18c).
⚠️ Report is 12 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #277      +/-   ##
==========================================
+ Coverage   95.56%   95.67%   +0.11%     
==========================================
  Files         231      234       +3     
  Lines        6133     6225      +92     
==========================================
+ Hits         5861     5956      +95     
+ Misses        272      269       -3

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

qodo-merge-pro · 2025-07-30T12:19:11Z

PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

🎫 Ticket compliance analysis ✅ 275 - PR Code Verified Compliant requirements: • AssumptionError enum created with specified variants • EvalFn signature updated to return Result<bool, AssumptionError> • Assumption struct updated for fallible EvalFn • Transferable trait created with verify_assumptions method • Model struct implements Transferable trait • Project compiles successfully • Unit tests added for assumption verification Requires further human verification: • Verify that all edge cases in verify_assumptions are properly handled during runtime testing • Confirm that error propagation works correctly in complex model scenarios
⏱️ Estimated effort to review: 4 🔵🔵🔵🔵⚪
🧪 PR contains tests
🔒 No security concerns identified
⚡ Recommended focus areas for review Complex Logic The evaluate_deterministic_propagation, evaluate_probabilistic_propagation, and evaluate_mixed_propagation methods have become significantly more complex with the addition of AggregateLogic handling and RelayTo effect resolution. The nested match statements and logic branches should be carefully reviewed for correctness and potential edge cases. fn evaluate_deterministic_propagation( &self, effect: &PropagatingEffect, logic: &AggregateLogic, ) -> Result<PropagatingEffect, CausalityError> { let mut resolved_effects = Vec::new(); for cause in self.get_all_items() { let current_effect = cause.evaluate(effect)?; let resolved_effect = match current_effect { PropagatingEffect::RelayTo(target_id, inner_effect) => { let target_causaloid = self .get_item_by_id(target_id as IdentificationValue) .ok_or_else(\|\| { CausalityError(format!( "Relay target causaloid with ID {target_id} not found." )) })?; target_causaloid.evaluate(&inner_effect)? } _ => current_effect, }; resolved_effects.push(resolved_effect); } match logic { AggregateLogic::All => { let mut last_true_effect = PropagatingEffect::Deterministic(true); for res_effect in resolved_effects { match res_effect { PropagatingEffect::Deterministic(true) => { last_true_effect = res_effect; } PropagatingEffect::Deterministic(false) => { return Ok(PropagatingEffect::Deterministic(false)); } PropagatingEffect::Halting => { return Ok(PropagatingEffect::Halting); } _ => { return Err(CausalityError(format!( "evaluate_deterministic_propagation (All) encountered a non-deterministic effect: {res_effect:?}. Only Deterministic effects are allowed." ))); } } } Ok(last_true_effect) } AggregateLogic::Any => { let mut has_true = false; let mut last_effect = PropagatingEffect::Halting; // Default to Halting if no true or false found for res_effect in resolved_effects { match res_effect { PropagatingEffect::Deterministic(true) => { has_true = true; last_effect = res_effect; } PropagatingEffect::Deterministic(false) => { last_effect = res_effect; } PropagatingEffect::Halting => { return Ok(PropagatingEffect::Halting); } _ => { return Err(CausalityError(format!( "evaluate_deterministic_propagation (Any) encountered a non-deterministic effect: {res_effect:?}. Only Deterministic effects are allowed." ))); } } } if has_true { Ok(last_effect) } else { Ok(PropagatingEffect::Deterministic(false)) } } AggregateLogic::None => { let mut all_false = true; for res_effect in resolved_effects { match res_effect { PropagatingEffect::Deterministic(true) => { all_false = false; break; } PropagatingEffect::Deterministic(false) => continue, PropagatingEffect::None => { return Ok(PropagatingEffect::None); } PropagatingEffect::Halting => { return Ok(PropagatingEffect::Halting); } _ => { return Err(CausalityError(format!( "evaluate_deterministic_propagation (None) encountered a non-deterministic effect: {res_effect:?}. Only Deterministic effects are allowed." ))); } } } if all_false { Ok(PropagatingEffect::Deterministic(true)) } else { Ok(PropagatingEffect::Deterministic(false)) } } AggregateLogic::Some(k) => { let mut true_count = 0; for res_effect in resolved_effects { match res_effect { PropagatingEffect::Deterministic(true) => { true_count += 1; continue; } PropagatingEffect::Deterministic(false) => {} PropagatingEffect::Halting => { return Ok(PropagatingEffect::Halting); } _ => { return Err(CausalityError(format!( "evaluate_deterministic_propagation (Some) encountered a non-deterministic effect: {res_effect:?}. Only Deterministic effects are allowed." ))); } } } if true_count >= k { Ok(PropagatingEffect::Deterministic(true)) } else { Ok(PropagatingEffect::Deterministic(false)) } } } } /// Evaluates a linear chain of causes where each link is expected to be probabilistic. /// /// This method aggregates the effects by multiplying their probabilities, assuming /// independence. It handles deterministic effects by treating `true` as a probability /// of 1.0 and `false` as 0.0. /// /// # Arguments /// `effect` - A single `PropagatingEffect` object that all causes will use. /// /// # Errors /// Returns a `CausalityError` if a `ContextualLink` is encountered. fn evaluate_probabilistic_propagation( &self, effect: &PropagatingEffect, logic: &AggregateLogic, ) -> Result<PropagatingEffect, CausalityError> { let mut resolved_effects = Vec::new(); for cause in self.get_all_items() { let current_effect = cause.evaluate(effect)?; let resolved_effect = match current_effect { PropagatingEffect::RelayTo(target_id, inner_effect) => { let target_causaloid = self .get_item_by_id(target_id as IdentificationValue) .ok_or_else(\|\| { CausalityError(format!( "Relay target causaloid with ID {target_id} not found." )) })?; target_causaloid.evaluate(&inner_effect)? } _ => current_effect, }; resolved_effects.push(resolved_effect); } match logic { AggregateLogic::All => { let mut cumulative_prob: NumericalValue = 1.0; for res_effect in resolved_effects { match res_effect { PropagatingEffect::None => { return Ok(PropagatingEffect::None); } PropagatingEffect::Halting => { return Ok(PropagatingEffect::Halting); } PropagatingEffect::Probabilistic(p) => { cumulative_prob = p; if cumulative_prob == 0.0 { return Ok(PropagatingEffect::Probabilistic(0.0)); } } PropagatingEffect::Deterministic(true) => { // Equivalent to multiplying by 1.0 } PropagatingEffect::Deterministic(false) => { return Ok(PropagatingEffect::Probabilistic(0.0)); } _ => { return Err(CausalityError(format!( "evaluate_probabilistic_propagation (All) encountered an unhandled effect: {res_effect:?}" ))); } } } Ok(PropagatingEffect::Probabilistic(cumulative_prob)) } AggregateLogic::Any => { for res_effect in resolved_effects { match res_effect { PropagatingEffect::Probabilistic(p) => { if p > 0.0 { return Ok(PropagatingEffect::Probabilistic(p)); } } PropagatingEffect::Deterministic(true) => { return Ok(PropagatingEffect::Deterministic(true)); } PropagatingEffect::Deterministic(false) => {} PropagatingEffect::Halting => { return Ok(PropagatingEffect::Halting); } _ => { return Err(CausalityError(format!( "evaluate_probabilistic_propagation (Any) encountered an unhandled effect: {res_effect:?}" ))); } } } Ok(PropagatingEffect::Probabilistic(0.0)) } AggregateLogic::None => { for res_effect in resolved_effects { match res_effect { PropagatingEffect::Probabilistic(p) => { if p > 0.0 { return Ok(PropagatingEffect::Probabilistic(0.0)); } } PropagatingEffect::Deterministic(true) => { return Ok(PropagatingEffect::Probabilistic(0.0)); } PropagatingEffect::Deterministic(false) => {} PropagatingEffect::Halting => { return Ok(PropagatingEffect::Halting); } _ => { return Err(CausalityError(format!( "evaluate_probabilistic_propagation (None) encountered an unhandled effect: {res_effect:?}" ))); } } } Ok(PropagatingEffect::Probabilistic(1.0)) } AggregateLogic::Some(k) => { let mut success_count = 0; let mut last_successful_effect = PropagatingEffect::Probabilistic(0.0); for res_effect in resolved_effects { match res_effect { PropagatingEffect::Probabilistic(p) => { if p > 0.0 { success_count += 1; last_successful_effect = res_effect; } } PropagatingEffect::Deterministic(true) => { success_count += 1; last_successful_effect = res_effect; } PropagatingEffect::Deterministic(false) => {} PropagatingEffect::Halting => { return Ok(PropagatingEffect::Halting); } _ => { return Err(CausalityError(format!( "evaluate_probabilistic_propagation (Some) encountered an unhandled effect: {res_effect:?}" ))); } } } if success_count >= k { Ok(last_successful_effect) } else { Ok(PropagatingEffect::Probabilistic(0.0)) } } } } /// Evaluates a linear chain of causes that may contain a mix of deterministic and /// probabilistic effects, aggregating them into a final effect. /// /// # Arguments /// * `effect` - A single `PropagatingEffect` object that all causes will use. /// /// # Errors /// Returns a `CausalityError` if a `ContextualLink` is encountered. fn evaluate_mixed_propagation( &self, effect: &PropagatingEffect, logic: &AggregateLogic, ) -> Result<PropagatingEffect, CausalityError> { let mut resolved_effects = Vec::new(); for cause in self.get_all_items() { let current_effect = cause.evaluate(effect)?; let resolved_effect = match current_effect { PropagatingEffect::RelayTo(target_id, inner_effect) => { let target_causaloid = self .get_item_by_id(target_id as IdentificationValue) .ok_or_else(\|\| { CausalityError(format!( "Relay target causaloid with ID {target_id} not found." )) })?; target_causaloid.evaluate(&inner_effect)? } _ => current_effect, }; resolved_effects.push(resolved_effect); } match logic { AggregateLogic::All => { let mut all_true = true; let mut last_successful_effect = PropagatingEffect::Deterministic(true); for res_effect in resolved_effects { match res_effect { PropagatingEffect::Deterministic(true) => { last_successful_effect = res_effect; } PropagatingEffect::Probabilistic(p) => { if p > 0.0 { last_successful_effect = res_effect; } else { all_true = false; break; } } PropagatingEffect::Deterministic(false) => { all_true = false; break; } PropagatingEffect::Halting => { return Ok(PropagatingEffect::Halting); } PropagatingEffect::ContextualLink(_, _) => { return Err(CausalityError( "evaluate_mixed_propagation (All) encountered a ContextualLink." .into(), )); } _ => { return Err(CausalityError(format!( "evaluate_mixed_propagation (All) encountered an unhandled effect: {res_effect:?}" ))); } } } if all_true { Ok(last_successful_effect) } else { Ok(PropagatingEffect::Deterministic(false)) } } AggregateLogic::Any => { let mut any_true = false; let mut last_successful_effect = PropagatingEffect::Deterministic(false); let mut final_failure_effect: Option<PropagatingEffect> = None; for res_effect in resolved_effects { match res_effect { PropagatingEffect::Deterministic(true) => { any_true = true; last_successful_effect = res_effect; } PropagatingEffect::Probabilistic(p) => { if p > 0.0 { any_true = true; last_successful_effect = res_effect; } else { // If a probabilistic 0.0 is encountered, it's a potential failure if final_failure_effect.is_none() { final_failure_effect = Some(PropagatingEffect::Probabilistic(0.0)); } } } PropagatingEffect::Deterministic(false) => { // If a deterministic false is encountered, it's a potential failure if final_failure_effect.is_none() \|\| matches!( final_failure_effect, Some(PropagatingEffect::Probabilistic(_)) ) { final_failure_effect = Some(PropagatingEffect::Deterministic(false)); } } PropagatingEffect::Halting => { return Ok(PropagatingEffect::Halting); } PropagatingEffect::ContextualLink(_, _) => { return Err(CausalityError( "evaluate_mixed_propagation (Any) encountered a ContextualLink." .into(), )); } _ => { return Err(CausalityError(format!( "evaluate_mixed_propagation (Any) encountered an unhandled effect: {res_effect:?}" ))); } } } if any_true { Ok(last_successful_effect) } else if let Some(failure_effect) = final_failure_effect { Ok(failure_effect) } else { Ok(PropagatingEffect::Deterministic(false)) // Default if no true and no specific failure effect } } AggregateLogic::None => { let mut any_true = false; let mut final_failure_effect: Option<PropagatingEffect> = None; for res_effect in resolved_effects { match res_effect { PropagatingEffect::Deterministic(true) => { any_true = true; final_failure_effect = Some(PropagatingEffect::Deterministic(false)); break; } PropagatingEffect::Probabilistic(p) => { if p > 0.0 { any_true = true; final_failure_effect = Some(PropagatingEffect::Probabilistic(0.0)); break; } } PropagatingEffect::Deterministic(false) => {} PropagatingEffect::Halting => { return Ok(PropagatingEffect::Halting); } PropagatingEffect::ContextualLink(_, _) => { return Err(CausalityError( "evaluate_mixed_propagation (None) encountered a ContextualLink." .into(), )); } _ => { return Err(CausalityError(format!( "evaluate_mixed_propagation (None) encountered an unhandled effect: {res_effect:?}" ))); } } } if any_true { if let Some(failure_effect) = final_failure_effect { Ok(failure_effect) } else { Ok(PropagatingEffect::Deterministic(false)) // Should not happen if any_true is true } } else { Ok(PropagatingEffect::Deterministic(true)) } } AggregateLogic::Some(k) => { let mut success_count = 0; let mut last_successful_effect = PropagatingEffect::Deterministic(false); let mut final_failure_effect: Option<PropagatingEffect> = None; for res_effect in resolved_effects { match res_effect { PropagatingEffect::Deterministic(true) => { success_count += 1; last_successful_effect = res_effect; } PropagatingEffect::Probabilistic(p) => { if p > 0.0 { success_count += 1; last_successful_effect = res_effect; } } PropagatingEffect::Deterministic(false) => { if final_failure_effect.is_none() \|\| matches!( final_failure_effect, Some(PropagatingEffect::Probabilistic(_)) ) { // Prioritize deterministic false over probabilistic 0.0 final_failure_effect = Some(PropagatingEffect::Deterministic(false)); } } PropagatingEffect::Halting => { return Ok(PropagatingEffect::Halting); } PropagatingEffect::ContextualLink(_, _) => { return Err(CausalityError( "evaluate_mixed_propagation (Some) encountered a ContextualLink." .into(), )); } _ => { return Err(CausalityError(format!( "evaluate_mixed_propagation (Some) encountered an unhandled effect: {res_effect:?}" ))); } } } if success_count >= k { Ok(last_successful_effect) } else if let Some(failure_effect) = final_failure_effect { Ok(failure_effect) } else { Ok(PropagatingEffect::Deterministic(false)) // Default if not enough successes and no specific failure effect } } } } RelayTo Resolution* The RelayTo effect resolution logic appears in multiple methods with similar patterns. The target causaloid lookup and evaluation should be verified to ensure it handles missing targets correctly and doesn't create infinite loops or circular dependencies. let resolved_effect = match current_effect { PropagatingEffect::RelayTo(target_id, inner_effect) => { let target_causaloid = self .get_item_by_id(target_id as IdentificationValue) .ok_or_else(\|\| { CausalityError(format!( "Relay target causaloid with ID {target_id} not found." )) })?; target_causaloid.evaluate(&inner_effect)?

qodo-merge-pro · 2025-07-30T12:20:09Z

PR Code Suggestions ✨

Latest suggestions up to a8fd18c

Category	Suggestion	Impact
Incremental ^[*]	Implement unused aggregation logic parameter The `_logic` parameter is prefixed with underscore but never used in the implementation. Consider either implementing the aggregation logic or removing the parameter if it's not needed for this method. deep_causality/src/traits/causable/causable_reasoning.rs [56-60] fn evaluate_deterministic_propagation( &self, effect: &PropagatingEffect, - _logic: &AggregateLogic, + logic: &AggregateLogic, ) -> Result<PropagatingEffect, CausalityError> { + // TODO: Implement aggregation logic based on the logic parameter Apply / Chat Suggestion importance[1-10]: 7 __ Why: The suggestion correctly points out that the newly added `_logic` parameter is unused across multiple functions, which indicates incomplete implementation and is a valid concern for code review.	Medium
	Replace unsafe unwrap with safe pattern matching Replace the pattern of checking `is_none()` followed by `unwrap()` with a more idiomatic approach using pattern matching or `ok_or` to avoid potential panic and improve code clarity. deep_causality/src/traits/transferable/mod.rs [38-42] -if self.get_assumptions().is_none() { - return Err(AssumptionError::NoAssumptionsDefined); -} +let assumptions = match self.get_assumptions().as_ref() { + Some(assumptions) => assumptions, + None => return Err(AssumptionError::NoAssumptionsDefined), +}; -let assumptions = self.get_assumptions().as_ref().unwrap(); - Apply / Chat Suggestion importance[1-10]: 6 __ Why: The suggestion correctly identifies a non-idiomatic use of `is_none()` followed by `unwrap()` and proposes a safer, more idiomatic pattern matching approach that improves code clarity and robustness.	Low
	Fix documentation comment spacing Add consistent spacing after the triple slashes in documentation comments to match Rust documentation conventions and maintain consistency with other variants in the enum. deep_causality/src/errors/assumption_error.rs [16-19] -///Error returned when verification is attempted without data i.e. empty collection. +/// Error returned when verification is attempted without data i.e. empty collection. NoDataToTestDefined, -///Error to capture the specific failed assumption +/// Error to capture the specific failed assumption AssumptionFailed(String), Apply / Chat Suggestion importance[1-10]: 3 __ Why: The suggestion correctly identifies and fixes inconsistent spacing in documentation comments, which improves code style and readability.	Low
General	Add comprehensive empty collection testing The test calls `number_assumption_valid()` on an empty collection which may cause division by zero or unexpected behavior. Consider adding proper error handling or validation for this edge case. deep_causality/tests/extensions/assumable/assumable_vec_tests.rs [11-21] #[test] fn test_empty() { let col: Vec<Assumption> = vec![]; assert_eq!(col.len(), 0); let res = col.percent_assumption_valid(); assert!(res.is_err()); + // Verify that number_assumption_valid handles empty collections correctly let res = col.number_assumption_valid(); assert_eq!(res, 0.0); + + // Also test that other methods handle empty collections gracefully + assert!(!col.all_assumptions_tested()); + assert!(!col.all_assumptions_valid()); } Apply / Chat Suggestion importance[1-10]: 3 __ Why: The suggestion correctly points out that the test for empty collections could be more comprehensive, although the existing test already covers the most critical edge case.	Low
More

Previous suggestions

Suggestions up to commit bb80213

Category	Suggestion	Impact
Possible issue	Fix inconsistent Any logic behavior The logic returns `last_effect` when `has_true` is true, but `last_effect` could be either true or false depending on iteration order. This creates inconsistent behavior where a true result might be overwritten by a later false result. deep_causality/src/traits/causable/causable_reasoning.rs [105-132] AggregateLogic::Any => { let mut has_true = false; - let mut last_effect = PropagatingEffect::Halting; // Default to Halting if no true or false found + let mut last_true_effect = PropagatingEffect::Deterministic(false); for res_effect in resolved_effects { match res_effect { PropagatingEffect::Deterministic(true) => { has_true = true; - last_effect = res_effect; + last_true_effect = res_effect; } PropagatingEffect::Deterministic(false) => { - last_effect = res_effect; + // Continue without updating last_true_effect } PropagatingEffect::Halting => { return Ok(PropagatingEffect::Halting); } _ => { return Err(CausalityError(format!( "evaluate_deterministic_propagation (Any) encountered a non-deterministic effect: {res_effect:?}. Only Deterministic effects are allowed." ))); } } } if has_true { - Ok(last_effect) + Ok(last_true_effect) } else { Ok(PropagatingEffect::Deterministic(false)) } } Suggestion importance[1-10]: 8 __ Why: This suggestion correctly identifies a logic bug where a `true` result could be incorrectly overwritten by a subsequent `false` result, and the proposed fix correctly ensures the first `true` effect is returned.	Medium
General	Add validation for Some aggregation logic The `Some(k)` logic should validate that `k` is not greater than the total number of effects to prevent impossible conditions. An early validation would improve robustness and provide clearer error messages. deep_causality/src/traits/causable/causable_reasoning.rs [161-185] AggregateLogic::Some(k) => { + if k > resolved_effects.len() { + return Err(CausalityError(format!( + "Some({k}) requires more effects than available ({} effects)", + resolved_effects.len() + ))); + } let mut true_count = 0; for res_effect in resolved_effects { match res_effect { PropagatingEffect::Deterministic(true) => { true_count += 1; continue; } PropagatingEffect::Deterministic(false) => {} PropagatingEffect::Halting => { return Ok(PropagatingEffect::Halting); } _ => { return Err(CausalityError(format!( "evaluate_deterministic_propagation (Some) encountered a non-deterministic effect: {res_effect:?}. Only Deterministic effects are allowed." ))); } } } if true_count >= k { Ok(PropagatingEffect::Deterministic(true)) } else { Ok(PropagatingEffect::Deterministic(false)) } } Suggestion importance[1-10]: 7 __ Why: The suggestion correctly proposes adding a validation check to handle cases where `k` is impossible to satisfy, which improves robustness and provides clearer error feedback.	Medium
Incremental ^[*]	Use pattern matching assertion Use `assert_matches!` macro or pattern matching in the assertion to make the error checking more concise and avoid the intermediate variable assignment. deep_causality/tests/types/model_types/model/model_tests.rs [190-195] // AssumptionError::NoDataToTestDefined let res = model.verify_assumptions(&[]); -assert!(res.is_err()); +assert!(matches!(res, Err(AssumptionError::NoDataToTestDefined))); -let err = res.unwrap_err(); -assert_eq!(err, AssumptionError::NoDataToTestDefined); - Suggestion importance[1-10]: 6 __ Why: This is a good suggestion that uses the idiomatic `matches!` macro to make the error check more concise and robust by combining multiple assertions into one.	Low
Incremental ^[*]	Use Display trait directly Consider using `Display` trait directly instead of `format!` macro for simple string comparisons to improve performance and readability. deep_causality/tests/types/reasoning_types/aggregate_logic_tests.rs [8-12] #[test] fn test_aggregate_logic_all() { let logic = AggregateLogic::All; - assert_eq!(format!("{logic}"), "All"); + assert_eq!(logic.to_string(), "All"); } Suggestion importance[1-10]: 2 __ Why: The suggestion offers a minor stylistic alternative that might be slightly more performant, but the impact on readability and performance is negligible in a test.	Low

Suggestions up to commit 8e6920e

Category	Suggestion	Impact
General	Fix probabilistic aggregation logic inconsistency The `Any` logic returns the first positive probability found, but this may not represent the intended aggregation behavior. Consider returning the highest probability or implementing a proper probabilistic union operation. deep_causality/src/traits/causable/causable_reasoning.rs [260-283] AggregateLogic::Any => { + let mut max_probability = 0.0; + let mut found_deterministic_true = false; + for res_effect in resolved_effects { match res_effect { PropagatingEffect::Probabilistic(p) => { - if p > 0.0 { - return Ok(PropagatingEffect::Probabilistic(p)); + if p > max_probability { + max_probability = p; } } PropagatingEffect::Deterministic(true) => { - return Ok(PropagatingEffect::Deterministic(true)); + found_deterministic_true = true; } PropagatingEffect::Deterministic(false) => {} PropagatingEffect::Halting => { return Ok(PropagatingEffect::Halting); } _ => { return Err(CausalityError(format!( "evaluate_probabilistic_propagation (Any) encountered an unhandled effect: {res_effect:?}" ))); } } } - Ok(PropagatingEffect::Probabilistic(0.0)) + + if found_deterministic_true { + Ok(PropagatingEffect::Deterministic(true)) + } else if max_probability > 0.0 { + Ok(PropagatingEffect::Probabilistic(max_probability)) + } else { + Ok(PropagatingEffect::Probabilistic(0.0)) + } } Suggestion importance[1-10]: 7 __ Why: The suggestion correctly identifies that returning the first positive probability for `AggregateLogic::Any` is arbitrary and proposes a more robust alternative of returning the maximum probability, which better reflects the intent of the logic.	Medium
Possible issue	Prevent integer overflow in counter logic The `Some(k)` logic has potential integer overflow when `success_count` approaches `usize::MAX`. Add bounds checking to prevent overflow and ensure `k` is within reasonable limits. deep_causality/src/traits/causable/causable_reasoning.rs [308-339] AggregateLogic::Some(k) => { - let mut success_count = 0; + if k == 0 { + return Ok(PropagatingEffect::Deterministic(true)); + } + + let mut success_count = 0usize; let mut last_successful_effect = PropagatingEffect::Probabilistic(0.0); for res_effect in resolved_effects { match res_effect { PropagatingEffect::Probabilistic(p) => { if p > 0.0 { - success_count += 1; + success_count = success_count.saturating_add(1); last_successful_effect = res_effect; + if success_count >= k { + return Ok(last_successful_effect); + } } } PropagatingEffect::Deterministic(true) => { - success_count += 1; + success_count = success_count.saturating_add(1); last_successful_effect = res_effect; + if success_count >= k { + return Ok(last_successful_effect); + } } PropagatingEffect::Deterministic(false) => {} PropagatingEffect::Halting => { return Ok(PropagatingEffect::Halting); } _ => { return Err(CausalityError(format!( "evaluate_probabilistic_propagation (Some) encountered an unhandled effect: {res_effect:?}" ))); } } } - if success_count >= k { - Ok(last_successful_effect) - } else { - Ok(PropagatingEffect::Probabilistic(0.0)) - } + Ok(PropagatingEffect::Probabilistic(0.0)) } Suggestion importance[1-10]: 4 __ Why: The suggestion correctly points out a theoretical integer overflow risk with `success_count` and suggests using `saturating_add`, which is a valid improvement for robustness, although the risk is negligible in practice.	Low

Signed-off-by: Marvin Hansen <[email protected]>

…y-rs#275 Signed-off-by: Marvin Hansen <[email protected]>

marvin-hansen added 4 commits July 30, 2025 15:43

Updated CausableReasoning trait to handle RelayTo variant to dispatch…

0953ef8

… to a different causaloid. Signed-off-by: Marvin Hansen <[email protected]>

Working on Configurable Reasoning Modalitie deepcausality-rs#274

ccfc236

Signed-off-by: Marvin Hansen <[email protected]>

feat(deep_causality): Added Programmatic Verification of Model Assump…

ade0bb9

…tions deepcausality-rs#275 Signed-off-by: Marvin Hansen <[email protected]>

Improved AssumptionError and its testing.

8e6920e

Signed-off-by: Marvin Hansen <[email protected]>

marvin-hansen self-assigned this Jul 30, 2025

qodo-merge-pro bot changed the title ~~feat(deep_causality): Added Programmatic Verification of Model Assumptions~~ feat(deep_causality): Added Programmatic Verification of Model Assumptions Jul 30, 2025

qodo-merge-pro bot added the Review effort 4/5 label Jul 30, 2025

marvin-hansen added 2 commits July 30, 2025 20:24

Added tests for AggregateLogic

d4c82c0

Signed-off-by: Marvin Hansen <[email protected]>

Improved test coverage for Model.

bb80213

Signed-off-by: Marvin Hansen <[email protected]>

marvin-hansen mentioned this pull request Jul 30, 2025

Enable Programmatic Verification of Model Assumptions #275

Closed

8 tasks

marvin-hansen added 4 commits July 30, 2025 20:46

Improved test coverage for Assumption.

b7fa87f

Signed-off-by: Marvin Hansen <[email protected]>

Added empty test to Assumption vector.

e963ab4

Signed-off-by: Marvin Hansen <[email protected]>

Restored previous implementation of causable_reasoning.rs

a4afd15

Signed-off-by: Marvin Hansen <[email protected]>

Finalized Programmatic Verification of Model Assumptions deepcausalit…

a8fd18c

…y-rs#275 Signed-off-by: Marvin Hansen <[email protected]>

marvin-hansen merged commit b485102 into deepcausality-rs:main Jul 31, 2025
10 checks passed

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Uh oh!

feat(deep_causality): Added Programmatic Verification of Model Assumptions #277

feat(deep_causality): Added Programmatic Verification of Model Assumptions #277

Uh oh!

marvin-hansen commented Jul 30, 2025 •

edited by qodo-merge-pro bot

Loading

Uh oh!

codecov bot commented Jul 30, 2025 •

edited

Loading

Uh oh!

qodo-merge-pro bot commented Jul 30, 2025

Uh oh!

qodo-merge-pro bot commented Jul 30, 2025 •

edited

Loading

Uh oh!

Uh oh!

Uh oh!

feat(deep_causality): Added Programmatic Verification of Model Assumptions #277

feat(deep_causality): Added Programmatic Verification of Model Assumptions #277

Uh oh!

Conversation

marvin-hansen commented Jul 30, 2025 • edited by qodo-merge-pro bot Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

User description

Describe your changes

Issue ticket number and link

Code checklist before requesting a review

PR Type

Description

Diagram Walkthrough

File Walkthrough

Uh oh!

codecov bot commented Jul 30, 2025 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Codecov Report

Uh oh!

qodo-merge-pro bot commented Jul 30, 2025

PR Reviewer Guide 🔍

Uh oh!

qodo-merge-pro bot commented Jul 30, 2025 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

PR Code Suggestions ✨

Previous suggestions

Uh oh!

Uh oh!

Uh oh!

marvin-hansen commented Jul 30, 2025 •

edited by qodo-merge-pro bot

Loading

codecov bot commented Jul 30, 2025 •

edited

Loading

qodo-merge-pro bot commented Jul 30, 2025 •

edited

Loading