Release/0.5.0 (#35)

* feat: Introduce function-scoped variable interning for state analysis with new tests and fixtures

* feat: Add Phase 26 symbolic execution enhancements with bitwise operator support, abstract interpretation refinements, and new taint analysis tests

* feat: Refine state analysis to handle factory-pattern resource returns with mixed-path tests and leak detection enhancements

* feat: Add Phase 27 debug views with symbolic execution, abstract interpretation, SSA, and call graph viewers; integrate with debug layout and styles

* feat: Add Phase 31 type-qualified symbolic resolution with receiver-based callee disambiguation and testing

* feat: Extend symbolic execution with state iteration, enhanced debug views, and debounced input handling

* feat: Add Phase 13 resource and auth pattern extensions with new tests and fixtures

* feat: Introduce CFG debug graph renderer with compact mode, toolbar, and DAG layout integration

* feat: Add Phase 28 encoding and decoding transform modeling with structural symex enhancements and new taint analysis tests

* feat: Extend abstract interpretation with type facts and constant value tracking in debug views and server logic

* feat: Add linear path handling and witness extraction to symbolic execution with Phase 28 transform mismatch detection

* feat: Refine Go auth and sanitizer handling with enhanced rules, state updates, and benchmark improvements

* feat: Enable auth-state analysis by default and update relevant tests in benchmark config

* test: Update state_tests to reflect default enablement of auth-state analysis and add auth suppression test

* docs: update CHANGELOG.md

* feat: Introduce per-index taint tracking in `HeapState` with `HeapSlot`, overflow handling, and revised SSA transfers

* feat: Introduce C/C++ language labels and refine heap state tracking in SSA transfers

* feat: Implement per-index array slot tracking in symbolic heap with overflow collapse

* feat: Add implicit definition handling for uninitialized declarations in SSA value allocation

* feat: Refactor function parameters and constants for improved clarity and maintainability

* refactor: Reorder module imports and improve formatting for consistency

* refactor: Fix formatting erorrs

* refactor: Fix clippy warnings

* refactor: Fix fmt warnings (again)

* chore: Update dependencies and improve feature configuration

* Add comprehensive tests for undertested modules (#36) (COPILOT)

* Add comprehensive tests for undertested modules

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* Add comprehensive tests for ext, project, walk, and errors modules

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* chore: Update dependencies and improve feature configuration

* fix: formatting errors in new tests

* chore: Update license list in about.toml

* chore: made functions input inline

* chore: updated cfg graph to take up the full page

* chore: add Prettier configuration and update code formatting

* Add frontend test suite with Vitest (111 tests) (#37)

* Add Vitest test suite for frontend - 111 tests across utils, components, hooks, and graph utilities

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* ci: add frontend test step to CI workflow

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* chore: simplify array initialization in test files for consistency

* ran typecheck

* feat: add AnalysisWorkspace component and integrate it into CfgViewerPage

* feat: update routing in AppLayout and improve empty state message in ExplorerPage

* feat: enhance scan progress tracking with additional metrics and stages

* feat: update license information and add license check script

* feat: implement cross-file symbolic execution with callee body persistence

* feat: replace dagre graphs with Graphology + ELK + Sigma for more advanced call stack and cfg rendering

* feat: ensure CFG function view is scoped to the selected function, preventing bleed into sibling functions

* feat: enhance resource tracking with proxy method summaries and improve finding extraction

* feat: add terminal function exit detection for accurate resource leak analysis

* feat: add warnings for loops and functions without bodies to improve error recovery

* feat: update lambda expression handling to ensure proper function classification and control flow

* feat: remove bounded formatting/string ops and add JSON.parse sanitizer for improved data handling

* feat: add inline return taint analysis and regression tests for improved security checks

* feat: add engine version management and migration handling for database schema updates

* feat: enhance first_call_ident to skip nested function bodies and add regression tests

* feat: enhance callee name resolution with two-segment normalization and disambiguation

* feat: add cross-file context flags and debug assertions for taint analysis

* feat: refactor taint analysis structure to unify context handling and improve clarity

* feat: enhance dead code elimination to preserve Sink, Source, and Sanitizer labels with new tests

* docs: updated CHANGELOG.md

* fmt: formatting fixes

* fix: fixed frontend formatting and lint warnings

* fix: optimized ci

* fix: optimized ci

* Add comprehensive multi-file test coverage to Nyx (#38)

* Initial checklist for multi-file test suite expansion

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* Add 12 new multi-file test fixtures with TP/TN/near-miss coverage

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* deleted root repo

* rebuilt to test for regressions

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* feat: enhance import alias resolution and taint tracking

* feat: implement security hardening with CSRF protection and path validation

* feat: add support for import alias bindings in Python, PHP, and Rust

* feat: enhance CFG analysis modes and improve code readability

* feat: add detection for parameterized SQL queries to enhance security

* feat: add safe internal redirect handling and enhance session destroy validation

* feat: implement security improvements by addressing vulnerabilities in execAsync, session management, and file downloads

* feat: enhance taint detection by adding support for inline source member expressions in call arguments

* feat: implement pre-emission of Source nodes for inline source member expressions in call arguments

* feat: add support for Throw statement in control flow and error handling

* feat: add debug and echo endpoints with potential information leakage

* feat: implement internal redirect suppression and enhance taint detection

* feat: implement module alias tracking for dynamic dispatch in JS/TS

* feat: add authorization analysis module with Express support

* feat: add authorization analysis module with Express support

* feat: add tests for admin guard requirements and clean checks in authorization analysis

* feat: integrate Koa and Fastify frameworks into authorization analysis

* feat: add Flask and Django support to authorization analysis module

* feat: add support for Rails and Sinatra frameworks in authorization analysis

* feat: add support for Axum, ActixWeb, and Rocket frameworks in authorization analysis

* feat: add support for ActixWeb, Axum, and Rocket frameworks in authorization analysis

* feat: add support for Rails and Sinatra in authorization analysis

* chore: add .DS_Store to .gitignore

* refactor: simplify conditional checks and improve readability in multiple files

* refactor: update usage of Option methods for improved clarity and consistency

* refactor: improve code readability by simplifying conditional checks and formatting

* refactor: improve code formatting and readability by simplifying conditional checks

* refactor: simplify conditional checks and improve readability in multiple files

* refactor: simplify conditional checks in axum.rs for improved readability

* feat: add CodeQL analysis configuration for enhanced security scanning

* test: add comprehensive tests for `src/output.rs` SARIF builder (#39)

* chore: start test coverage improvement work

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* test: add comprehensive tests for src/output.rs SARIF builder

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* refactor: improve code formatting and readability in output.rs

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* refactor: improve code formatting and readability in output.rs

* Potential fix for code scanning alert no. 210: Uncontrolled data used in path expression

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* Potential fix for code scanning alert no. 211: Uncontrolled data used in path expression

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* refactor: enhance triage file path handling with improved error management and validation

* refactor: updated func summaries for richer detail

* refactor: update SSA summary extraction to use canonical FuncKey for distinct entries

* refactor: enhance callee metadata structure to support arity, receiver, and qualifier for better overload resolution

* refactor: add support for keyword arguments in function calls and enhance receiver extraction for method-style calls

* refactor: implement new Flask routes for safe and unsafe shell command execution

* refactor: separate receiver handling in SSA operations and enhance taint propagation

* refactor: improve arity handling by using arg_uses for positional argument count and enhance witness scoring for tainted arguments

* refactor: implement auth decorator extraction and classification for multiple languages

* refactor: enhance Rust module path resolution and use map handling for cross-file disambiguation

* refactor: introduce CalleeQuery struct for structured callee resolution and enhance resolver logic

* refactor: implement same-file identity collision handling for `runTask` to ensure correct resolver behavior

* refactor: standardize default struct initialization across multiple files

* feat: add scripts for formatting checks and auto-fixes with test summaries

* refactor: simplify character splitting and enhance namespace qualifier handling

* refactor: improve documentation clarity and enhance code readability in resolver logic

* refactor: replace default struct initialization with explicit field assignments for clarity

* feat: enhance anonymous function naming by deriving context-based bindings

* refactor: streamline match expressions for improved readability and performance

* refactor: streamline match expressions for improved readability and performance

* refactor: replace loop with while let for improved clarity and performance

* feat: add SSA constant propagation support to analysis context for improved accuracy

* feat: add SSA constant propagation support to analysis context for improved accuracy

* feat: implement shell metacharacter validation and bounded-length checks in Rust analysis

* feat: add static map analysis for command injection suppression and type safety

* refactor: simplify match statements and reduce line breaks for improved readability

* feat(summary): phase 1/5 SinkSite data model for primary sink-location attribution

Introduce SinkSite (file_rel, line, col, snippet, cap) carrying the
primary sink source-location through function summaries. Swap
SsaFuncSummary.param_to_sink and FuncSummary.param_to_sink from a coarse
Cap map to a deduped SmallVec<[SinkSite; 1]> per parameter, with a
backward-compatible cap_sites() helper and serde defaults so pre-phase-1
on-disk rows continue to deserialise cleanly.

Extraction: SinkSiteLocator bundles the tree/bytes/file_rel needed by
extract_ssa_func_summary; ParsedFile::extract_ssa_artifacts wires the
locator in for the persisted pass-1 path, while pass-2 intra-file
transient summaries fall back to cap-only sites (behavior unchanged).
Merge: GlobalSummaries::insert now unions sink sites with
(file_rel, line, col, cap) dedup via shared union_param_sink_sites
helper.

Database: JSON-serialised summary columns carry the new shape
automatically; no schema change needed.

Phase 2 will consume SinkSite in build_taint_diag() to overwrite the
caller-site Finding.line with the callee's sink line when resolved via
summary. Phase 1 keeps behavior unchanged: scanning
tests/benchmark/corpus/rust/cmdi/cmdi_indirect.rs still produces the
same (wrong) line 10 finding.

Adds round-trip tests covering SinkSite solo, SsaFuncSummary with sink
sites, legacy-JSON default handling for both summary types, and merge
dedup.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* feat(taint): phase 2/5 thread SinkSite into SsaTaintEvent and Finding

Plumb Phase 1's SinkSite through the event pipeline into Findings,
no output change yet.  SsaTaintEvent gains `primary_sink_site:
Option<SinkSite>`; when the main or callback sink-emission path has
non-empty `param_to_sink_sites`, filter to sites whose
`(line != 0) && (cap ∩ sink_caps != ∅)` and emit one event per
distinct site — the multi-primary collapse keeps each downstream
Finding single-primary.

Resolution: ResolvedSummary and SinkInfo gain mirror
`param_to_sink_sites` fields, populated from `SsaFuncSummary.param_to_sink`
(SSA + callback paths) and `FuncSummary.param_to_sink` (global paths).
Label, local-summary, and interop resolution paths leave the field
empty — they only ever had cap-level info to begin with.

Finding: new `primary_location: Option<SinkLocation>` with
`file_rel/line/col`.  `ssa_events_to_findings` maps
`event.primary_sink_site` → `Finding.primary_location`, filtering
cap-only sites (`line == 0`) to `None` so the (0,0) sentinel never
leaks to formatters.  Dedup key extended with the primary location
so multi-site events aren't collapsed back together.

Invariants (debug_assert!):
* every SinkSite reaching emission has `line != 0 && cap ∩ sink_caps
  != ∅` — enforced by the pick_primary_sink_sites* filters;
* every populated Finding.primary_location has `line != 0` AND
  non-empty `file_rel` — the cap-only → None translation upstream
  guarantees this.

Deliberately independent of `uses_summary`: that flag tracks whether
the *taint chain* used a summary, whereas primary attribution
requires only that the *sink* itself was summary-resolved.  A local
source reaching a cross-file sink produces `uses_summary=false`
alongside a populated primary_location — documented on
Finding.primary_location, covered by
`cross_file_sink_finding_carries_primary_location`.

build_taint_diag, SARIF/JSON/explanation formatters, and the
benchmark scorer remain untouched: finding.line still comes from
`cfg_graph[finding.sink]`, so cmdi_indirect.rs still reports line 10
and the benchmark's rs-cmdi-003 row still shows FN in the LOC column.

Tests: `cross_file_sink_finding_carries_primary_location` (proves
plumbing via a synthetic FuncSummary carrying a SinkSite at 42:5) and
`cross_file_sink_cap_only_site_leaves_primary_location_none`
(regression guard against cap-only sites surfacing).  All 1566 lib
tests + integration tests pass.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(output): phase 3/5 consume primary sink location in diag + SARIF

When a finding's primary_location (populated in phase 2 from a callee
summary's SinkSite) names the dangerous instruction inside a callee
body, attribute the diagnostic line to that location instead of the
caller's call site. The call site is demoted to a Call step in
flow_steps, and a synthetic Sink step at the primary location is
appended so analysts still see the full trace.

Changes:
- Add scan_root parameter to build_taint_diag so file_rel can be
  resolved back to an absolute path via a shared resolve_file_rel
  helper. Empty file_rel (single-file scans where namespace == "")
  resolves to the file under analysis.
- Extend SinkLocation with snippet, carried from the upstream
  SinkSite so the formatter needs no second file read.
- Relax the ssa_events_to_findings debug_assert to allow empty
  file_rel, which is valid when scan root equals the file itself.
- SARIF: emit data-flow as codeFlows[0].threadFlows[0].locations[];
  locations[0] already reflects the primary sink position via the
  updated diag line/col.

Acceptance: scan on tests/benchmark/corpus/rust/cmdi/cmdi_indirect.rs
now reports line 5 (Command::new) as the primary sink, with the call
site at line 10 visible in flow_steps.

Two expect.json fixtures updated (must_match line_range widened):
- javascript/taint/context_sensitive_call: 12-14 -> 7-14 (line 8 is
  the real sink inside run()).
- rust/cfg/closure_async: 10-10 -> 10-11 (line 11 is Command::new
  inside the closure).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(bench): phase 4/5 validate primary sink attribution across corpus

Extend the benchmark scorer and ground truth to lock in phase 3's
primary-location behavior, and add fixtures that exercise the new
capability end-to-end.

Scorer (tests/benchmark_test.rs):
- Add optional `expected_call_site_lines: Option<Vec<[usize; 2]>>` on
  Case. When present, score_location_level additionally requires at
  least one flow_step in the finding's evidence trace to fall within
  ±2 of the call-site range. When absent, the check is skipped —
  fully forward-compatible with existing fixtures.
- Retain ±2 tolerance on expected_sink_lines (compared against the
  now-primary Diag.line post-phase-3).

Ground truth edits:
- rs-cmdi-cross-001: expected_sink_lines [8,8] -> [9,9]. Line 8 is the
  transform::wrap call site (a cross-file propagator, not a sink);
  line 9 is Command::new, the real sink. The ±2 tolerance happened to
  mask this stale attribution but it was semantically wrong — phase 4
  is the right time to correct it. Also adds expected_call_site_lines
  [8,8] so the new field is exercised on an existing cross-file case.
- rs-cmdi-003: adds expected_call_site_lines [10,10] (run_cmd call).
  This fixture's sink (Command::new inside run_cmd at line 5) was the
  motivating case for phases 1-3; adding the call-site assertion
  guards against regression to caller-line attribution.

New fixtures:
- rust/cmdi/cmdi_indirect_multisink.rs (rs-cmdi-009): helper run_both
  takes two tainted params and invokes two Command sinks on
  consecutive lines. Locks in that primary line lands inside the
  helper (lines 5-6), not at the caller (line 12). Notes document
  that SinkSite is currently one-per-callee so both findings today
  collapse onto the first sink; expected_sink_lines=[5,6] and
  expected_call_site_lines=[12,12] stay valid either way.
- python/cmdi/cross_indirect_sink/{app.py,helper.py} (py-cmdi-cross-
  004): sink os.system lives in helper.py (cross-file), caller in
  app.py reads env source and calls run_cmd. Verifies phase 3's
  cross-file primary attribution: Diag.path = helper.py, Diag.line =
  5, with app.py:7 recorded in flow_steps as a Call step.

Acceptance:
- `cargo test --test benchmark_test -- --ignored --nocapture` passes.
- rs-cmdi-003 is TP/TP/TP (the target flip FN->TP at LOC). All
  pre-existing TP/TP/TP fixtures remain TP/TP/TP; 2 new fixtures are
  TP/TP/TP.
- Aggregate rule-level: TP=158 FP=10 FN=1 TN=97, P=0.940 R=0.994
  F1=0.966 on the 266-case corpus (was TP=156 FP=10 FN=1 TN=97 on
  264 pre-phase-4, delta is the +2 new cases both resolving TP).
- Full `cargo test` green (1566 lib tests + all integration tests).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(taint): phase 5/5 lock Finding.primary_location contract via regression test

Add a regression test in src/taint/ssa_transfer.rs that wires up a synthetic
SsaFuncSummary with a SinkSite at other.rs:42:10 and drives the three
emission stages (pick_primary_sink_sites → emit_ssa_taint_events →
ssa_events_to_findings) against a minimal caller SSA body.  Asserts the
resulting Finding.primary_location is exactly that triple.

The existing integration tests in src/taint/tests.rs cover the coarse
FuncSummary path end-to-end through analyse_file.  This test locks in the
lower-level SSA-side plumbing so a future refactor that silently drops the
site between pick → emit → findings fails here rather than only at the
benchmark layer.

Also refreshes tests/benchmark/results/latest.json (timestamp only; rs-cmdi-003
remains TP/TP/TP and the aggregate P/R/F1 are unchanged from phase 4).

Closes the primary sink-location attribution feature (phases 1-5/5):
* Phase 1 — SinkSite data model on summaries.
* Phase 2 — SinkSite threaded into SsaTaintEvent and Finding.
* Phase 3 — diag + SARIF consume primary_location.
* Phase 4 — benchmark validates primary_call_site_lines across corpus.
* Phase 5 — regression test locks the event→finding contract.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* refactor: clean up formatting and improve readability in multiple files

* refactor: simplify type definition for deduplication key in findings

* test(harness): add must_not_match expectation for FP regression guards

Extends ExpectedFinding with must_not_match field that asserts a
diagnostic must NOT fire — presence is a hard failure. Non-consuming
scan so it coexists with must_match entries on the same rule_id.
Adds forbidden_violations accumulator and updates summary line.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(regression): update expectations to ensure must_not_match for various taint and resource leak rules

* feat: implement auto-seeding for JS/TS handler parameters to enhance taint tracking

* feat: update switch statement handling to improve control flow analysis

* feat: implement promisify alias handling for JS/TS to enhance taint tracking

* feat: enhance taint tracking by refining expectation handling and adding mode filtering

* feat: refine SQL handling in stream processing and enhance auto-seeding for handler parameters

* feat: update taint tracking rules to enforce full mode matching and improve flow analysis

* feat: enhance Ruby subshell handling to improve taint tracking and flow analysis

* feat: update xss_response expectations to refine taint flow analysis and enhance regression guarding

* feat: refine framework detection and update expectation handling for Echo and Sinatra

* feat: implement max_count for taint tracking expectations and deduplicate findings

* feat: add strict_unexpected handling for taint-unsanitised-flow in expectation files

* feat: enhance deduplication of taint-unsanitised-flow findings by collapsing based on line and severity

* feat: add strict_unexpected handling for taint-unsanitised-flow in multiple expectation files

* feat: add structural invariant checks for SSA bodies

* feat: ensure deterministic phi emission order using BTreeSet

* feat: enhance handling of terminators to ensure authoritative flow through successor edges

* feat: enhance Goto terminator handling to ensure all successors are marked executable

* feat: refactor code for improved readability and organization

* feat: simplify predicate checks and enhance readability in SSA handling

* feat: implement per-file parse timeout and enhance file size handling

* feat: migrate analysis engine toggles from environment variables to configuration file

* feat: remove unnecessary whitespace in hostile_input_tests.rs

* feat: remove unnecessary whitespace in hostile_input_tests.rs

* feat: update dependencies and enhance documentation on language maturity

* feat: enhance security headers and improve request body limits

* feat: implement sink capability bits for deduplication and enhance evidence tagging

* feat: implement dynamic activation handling for gated sinks and enhance validation logic

* feat: enhance configuration documentation and clarify inline analysis cache behavior

* feat: implement panic recovery during analysis to continue scans past errors

* feat: add expectations configuration for taint analysis and performance metrics

* feat: enhance error handling and logging during file reading and mutex locking

* feat: add cross-file body loading tests and plumbing for CF-1 phase

* feat: implement cross-file k=1 context-sensitive inline taint analysis with new tests and fixtures

* feat: implement indexed-scan parity in cross-file inline analysis with new dropdown and copy functionality

* feat: enhance classification span handling in CFG and AST for improved source attribution

* feat: add new Express routes for handling user input and telemetry data

* feat: implement ternary expression handling in CFG with diamond structure for JS/TS

* feat: implement Phase CF-3 abstract-domain transfer channels in summaries

* feat: add support for string-prefix transfer in cross-file calls and update tests

* docs: reduce RESULTS.md doc size

* feat: implement Phase CF-4 per-return-path summary decomposition with tests

* feat: update parameter handling in pass1 and refactor SsaFuncSummary initialization

* feat: implement Phase CF-5 for cross-file SCC joint fixed-point convergence with new flags and tests

* feat: implement Phase CF-6 with parameter-granularity points-to summaries and associated tests

* refactor: update comments and documentation for clarity and consistency

* style: format code for consistency and readability

* refactor: simplify verdict handling and improve edge checking logic

* refactor: optimize path and identifier collection by avoiding unnecessary cloning

* chore: update Cargo.toml for Rust version 1.85 and add ignored files; modify CHANGELOG and README for clarity on state analysis defaults

* refactor: update documentation and improve clarity in configuration files

* refactor: update documentation and improve clarity in configuration files

* feat: add JS/TS pass-2 convergence tests and expectations configuration

* feat: add Phase 5 regression tests for inline cache origin attribution and update related logic

* feat: implement Phase 7 deduplication and alternative path linking for taint findings

* feat: implement structural DFS index for anonymous functions and update naming conventions

* feat: add Phase 8 regression tests for container-element taint in JS and Python

* feat: add engine-depth profiles and explain-engine option for CLI

* feat: update expectations and add new README fixtures for multi-file scan regression

* feat: implement Phase 11 callback-alias and factory patterns with regression tests

* feat: implement Terminator::Switch for multi-way dispatch and add regression tests

* feat: add real-CVE benchmark fixtures for CVE-2023-48022, CVE-2019-14939, and CVE-2023-26159 with corresponding patched variants

* refactor: extract cfg and ssa_transfer to submodules

* refactor: cargo fmt

* refactor: remove unnecessary blank line in cfg_tests.rs

* refactor: remove unnecessary planning file

* chore: update Rust version to 1.88 and bump dependencies in Cargo files

* feat: enhance triage UI with new layout and controls, update README for clarity

* feat: enhance triage UI with new layout and controls, update README for clarity

* chore: remove outdated section from README for version 0.5.0

* docs: improve clarity and consistency in README content

* chore: add "GPL-3.0-or-later" to license options in about.toml

* chore: update license handling in about.toml and check-licenses.mjs

* style: format code for improved readability in TriagePage component

* style: format code for improved readability in TriagePage component

* chore: enhance license handling and improve body_id scoping in seed lookup

* feat: introduce owner and parent body IDs for enhanced seed scoping

* feat: implement direction-aware engine provenance with new CLI flag for strict CI gating

* feat: add Undef SSA operation for improved control-flow handling

* style: improve code formatting for consistency and readability in multiple files

* feat: add 16-function chain SCC across multiple files for enhanced analysis

* style: simplify code formatting for improved readability in multiple files

* fix: update CapHitReason default implementation and improve README clarity

* docs: enhance README with detailed explanations of taint analysis and limitations

* docs: refine README for clarity and consistency in taint analysis section

* style: improve code formatting for better readability in NewScanModal and scans

* fix: update cargo-about command to use --offline for deterministic license generation

* fix: update cargo-about command to use --offline for deterministic license generation

* ci: add step to prime cargo registry cache for deterministic license generation

* feat: add support for non-sink collections in authorization analysis

* feat: enhance authorization checks with row-level ownership equality and binding tracking

* feat: implement self-scoped user handling and enhance ownership checks

* refactor: simplify assertions and formatting in authorization analysis tests

* fix: normalize line endings in THIRDPARTY-LICENSES.html generation and update README with AI disclosure

* docs: update AI disclosure section for clarity and conciseness

* feat: add AI Contribution Policy and update contributing guidelines for AI assistance disclosure

* feat: enhance authorization analysis with SSA-derived variable type classification

* feat: implement auth_finding_to_diag function for enhanced security diagnostics

* feat: add args_value_refs to CallSite struct for enhanced argument tracking

* feat: add args_value_refs to CallSite struct for enhanced argument tracking

* feat: add direction-aware engine provenance with LossDirection classification and new CLI flag

* feat: simplify strip_cap_from_call_args call by removing unnecessary line breaks

* feat: enhance error message handling in cli_validation_tests for better Windows compatibility

* feat: optimize release profile settings in Cargo.toml and update CodeQL configuration

* feat: enhance release build process with SBOM generation and SLSA provenance

* feat: update actions/checkout and actions/setup-node to v6, enhance CLI options, and improve auth-check summaries

* feat: introduce PathFact handling for path safety checks and rejection logic

* feat: introduce PathFact handling for path safety checks and rejection logic

* feat: update benchmark data and enhance path sanitization logic with new safety checks

* feat: document AI assistance in frontend UI development and human review process

* feat: add return path facts for enhanced path safety checks and update documentation

* chore: update release date for version 0.5.0 in CHANGELOG.md

* chore: clean up ci.yml by removing outdated comments and clarifying steps

* feat: implement cross-language path sanitizers and validators for enhanced security

* feat: enhance SSA value usage tracking by including block terminators and improve path safety checks

* feat: enhance switch statement handling by adding per-case path constraints and support for exclusive cases

* refactor: simplify conditional formatting and improve code readability in executor and lower modules

* feat: add vulnerable examples for various languages demonstrating authentication and sanitization issues

* feat: enhance actor context recognition for self-actor identifiers and add support for global non-sink receivers

* feat: enhance actor context recognition for self-actor identifiers and add support for global non-sink receivers

* feat: add transform classifiers for Java, Go, and Ruby with corresponding tests

* refactor: clarify comments on reassign-to-constant idiom and sink behavior in guards.rs

---------

Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
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src/symex/loops.rs Normal file
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//! Loop analysis for the symbolic executor.
//!
//! Detects back edges, computes natural loop bodies, identifies induction
//! variables, and determines loop exit successors. All analysis is computed
//! once per `explore_finding()` invocation and shared across all paths.
#![allow(clippy::collapsible_if)]
use std::collections::{HashMap, HashSet};
use petgraph::Graph;
use petgraph::algo::dominators::{Dominators, simple_fast};
use petgraph::graph::NodeIndex;
use crate::ssa::ir::{BlockId, SsaBody, SsaOp, SsaValue, Terminator};
/// Default loop unrolling bound. After this many visits to a loop head,
/// the executor widens and skips to the exit.
pub const MAX_LOOP_UNROLL: u8 = 2;
/// Pre-computed loop information for symex exploration.
///
/// Computed once per `explore_finding()` invocation, shared across all paths.
pub struct LoopInfo {
/// Back edges: (latch block, loop head block).
pub back_edges: HashSet<(BlockId, BlockId)>,
/// Blocks that are loop-head targets of back edges.
pub loop_heads: HashSet<BlockId>,
/// Natural loop body per loop head: head → set of blocks in the loop.
pub loop_bodies: HashMap<BlockId, HashSet<BlockId>>,
/// SSA values that are simple induction variables (loop counters).
pub induction_vars: HashSet<SsaValue>,
/// Dominator tree (retained for exit successor queries).
#[allow(dead_code)]
doms: Dominators<NodeIndex>,
}
// ─────────────────────────────────────────────────────────────────────────────
// Public API
// ─────────────────────────────────────────────────────────────────────────────
/// Analyse loop structure in an SSA body.
///
/// Builds a petgraph from the SSA blocks, computes dominators, detects back
/// edges, natural loop bodies, and induction variables. All results are
/// bundled into a [`LoopInfo`] for use by the executor.
pub fn analyse_loops(ssa: &SsaBody) -> LoopInfo {
let num_blocks = ssa.blocks.len();
// Build petgraph from SSA block successors
let (block_graph, block_nodes, entry_node) = build_block_graph(ssa);
// Compute dominator tree
let doms = simple_fast(&block_graph, entry_node);
// Detect back edges: (src, tgt) where tgt dominates src
let back_edges = detect_back_edges(ssa, &block_nodes, &doms, num_blocks);
// Extract loop heads
let loop_heads: HashSet<BlockId> = back_edges.iter().map(|(_, head)| *head).collect();
// Compute natural loop bodies
let loop_bodies = compute_all_loop_bodies(ssa, &back_edges);
// Detect induction variables
let induction_vars = detect_induction_vars(ssa, &back_edges, &loop_heads);
LoopInfo {
back_edges,
loop_heads,
loop_bodies,
induction_vars,
doms,
}
}
impl LoopInfo {
/// Determine the loop exit successor for a branch at a loop head.
///
/// Uses natural loop body membership: the exit successor is the one
/// whose target is NOT in the loop body. Returns `None` if both
/// successors are inside the loop (nested loop) or the block has no
/// branch terminator.
pub fn loop_exit_successor(&self, ssa: &SsaBody, head: BlockId) -> Option<BlockId> {
let body = self.loop_bodies.get(&head)?;
let block = ssa.blocks.get(head.0 as usize)?;
match &block.terminator {
Terminator::Branch {
true_blk,
false_blk,
..
} => {
let true_in = body.contains(true_blk);
let false_in = body.contains(false_blk);
match (true_in, false_in) {
(true, false) => Some(*false_blk),
(false, true) => Some(*true_blk),
(false, false) => Some(*true_blk), // both exit — deterministic pick
(true, true) => None, // nested: no clear exit
}
}
_ => None, // Goto or Return — no branching exit
}
}
/// Check if this LoopInfo has any loops at all (useful for fast skip).
pub fn has_loops(&self) -> bool {
!self.loop_heads.is_empty()
}
}
// ─────────────────────────────────────────────────────────────────────────────
// Internal helpers
// ─────────────────────────────────────────────────────────────────────────────
/// Build a petgraph from SSA block successors.
///
/// Mirrors the pattern in `src/ssa/lower.rs:build_block_graph`.
fn build_block_graph(ssa: &SsaBody) -> (Graph<BlockId, ()>, Vec<NodeIndex>, NodeIndex) {
let num_blocks = ssa.blocks.len();
let mut g: Graph<BlockId, ()> = Graph::with_capacity(num_blocks, num_blocks * 2);
let mut block_nodes: Vec<NodeIndex> = Vec::with_capacity(num_blocks);
for i in 0..num_blocks {
block_nodes.push(g.add_node(BlockId(i as u32)));
}
for block in &ssa.blocks {
let src = block_nodes[block.id.0 as usize];
for &succ in &block.succs {
if (succ.0 as usize) < num_blocks {
g.add_edge(src, block_nodes[succ.0 as usize], ());
}
}
}
let entry_node = block_nodes[ssa.entry.0 as usize];
(g, block_nodes, entry_node)
}
/// Check if `dominator` dominates `target` in the dominator tree.
///
/// Mirrors the pattern in `src/cfg_analysis/dominators.rs:dominates`.
fn dominates_block(doms: &Dominators<NodeIndex>, dominator: NodeIndex, target: NodeIndex) -> bool {
if dominator == target {
return true;
}
let mut current = target;
while let Some(idom) = doms.immediate_dominator(current) {
if idom == current {
break; // reached root
}
if idom == dominator {
return true;
}
current = idom;
}
false
}
/// Detect back edges using dominator analysis.
///
/// An edge (src, tgt) is a back edge if tgt dominates src in the
/// dominator tree. This is sound for all CFG shapes, unlike the
/// block-index heuristic used by the taint engine.
fn detect_back_edges(
ssa: &SsaBody,
block_nodes: &[NodeIndex],
doms: &Dominators<NodeIndex>,
num_blocks: usize,
) -> HashSet<(BlockId, BlockId)> {
let mut back_edges = HashSet::new();
for block in &ssa.blocks {
let src_idx = block.id.0 as usize;
if src_idx >= num_blocks {
continue;
}
let src_node = block_nodes[src_idx];
for &succ in &block.succs {
let tgt_idx = succ.0 as usize;
if tgt_idx >= num_blocks {
continue;
}
let tgt_node = block_nodes[tgt_idx];
if dominates_block(doms, tgt_node, src_node) {
back_edges.insert((block.id, succ));
}
}
}
back_edges
}
/// Compute the natural loop body for a single back edge (latch → head).
///
/// The natural loop is {head} {blocks that can reach latch without
/// going through head}. Uses reverse BFS from the latch, stopping at head.
fn compute_natural_loop_body(ssa: &SsaBody, head: BlockId, latch: BlockId) -> HashSet<BlockId> {
let mut body = HashSet::new();
body.insert(head);
if head == latch {
return body; // single-block loop
}
body.insert(latch);
let mut worklist = vec![latch];
while let Some(bid) = worklist.pop() {
if let Some(block) = ssa.blocks.get(bid.0 as usize) {
for &pred in &block.preds {
if pred != head && body.insert(pred) {
worklist.push(pred);
}
}
}
}
body
}
/// Compute natural loop bodies for all loop heads.
///
/// When multiple back edges target the same head, their bodies are unioned.
fn compute_all_loop_bodies(
ssa: &SsaBody,
back_edges: &HashSet<(BlockId, BlockId)>,
) -> HashMap<BlockId, HashSet<BlockId>> {
let mut bodies: HashMap<BlockId, HashSet<BlockId>> = HashMap::new();
for &(latch, head) in back_edges {
let body = compute_natural_loop_body(ssa, head, latch);
bodies
.entry(head)
.and_modify(|existing| {
existing.extend(body.iter());
})
.or_insert(body);
}
bodies
}
/// Detect induction variables: phi nodes at loop heads where the back-edge
/// operand is a simple increment/decrement of the phi result.
///
/// Mirrors `detect_induction_phis()` in `src/taint/ssa_transfer.rs`.
fn detect_induction_vars(
ssa: &SsaBody,
back_edges: &HashSet<(BlockId, BlockId)>,
loop_heads: &HashSet<BlockId>,
) -> HashSet<SsaValue> {
let mut induction_vars = HashSet::new();
for block in &ssa.blocks {
if !loop_heads.contains(&block.id) {
continue;
}
for phi in &block.phis {
if let SsaOp::Phi(ref operands) = phi.op {
if operands.len() != 2 {
continue;
}
// Identify which operand comes via back edge
let mut back_edge_op = None;
let mut init_op = None;
for &(pred_blk, operand_val) in operands {
if back_edges.contains(&(pred_blk, block.id)) {
back_edge_op = Some(operand_val);
} else {
init_op = Some(operand_val);
}
}
if let (Some(back_val), Some(_init_val)) = (back_edge_op, init_op) {
if is_simple_increment(ssa, back_val, phi.value) {
induction_vars.insert(phi.value);
}
}
}
}
}
induction_vars
}
/// Check if `inc_val` is defined as a simple increment of `phi_val`:
/// `inc_val = phi_val + const` or `inc_val = phi_val - const`.
///
/// Mirrors `is_simple_increment()` in `src/taint/ssa_transfer.rs`.
fn is_simple_increment(ssa: &SsaBody, inc_val: SsaValue, phi_val: SsaValue) -> bool {
let def = ssa.def_of(inc_val);
let block = ssa.block(def.block);
for inst in &block.body {
if inst.value == inc_val {
if let SsaOp::Assign(ref uses) = inst.op {
if uses.len() == 2 && uses.contains(&phi_val) {
let other = if uses[0] == phi_val { uses[1] } else { uses[0] };
let other_def = ssa.def_of(other);
let other_block = ssa.block(other_def.block);
for other_inst in other_block.phis.iter().chain(other_block.body.iter()) {
if other_inst.value == other && matches!(other_inst.op, SsaOp::Const(_)) {
return true;
}
}
}
}
break;
}
}
false
}
// ─────────────────────────────────────────────────────────────────────────────
// Tests
// ─────────────────────────────────────────────────────────────────────────────
#[cfg(test)]
mod tests {
use super::*;
use crate::ssa::ir::{SsaBlock, SsaInst, ValueDef};
use petgraph::graph::NodeIndex as CfgNodeIndex;
use smallvec::smallvec;
fn dummy_cfg_node() -> CfgNodeIndex {
CfgNodeIndex::new(0)
}
fn make_value_def(block: BlockId) -> ValueDef {
ValueDef {
var_name: None,
cfg_node: dummy_cfg_node(),
block,
}
}
fn make_inst(val: u32, op: SsaOp, _block: BlockId) -> SsaInst {
SsaInst {
value: SsaValue(val),
op,
cfg_node: dummy_cfg_node(),
var_name: None,
span: (0, 0),
}
}
// ─── Back-edge detection ─────────────────────────────────────────────
#[test]
fn simple_loop_back_edge() {
// B0 → B1 → B2 → B1 (back edge B2→B1)
// → B3 (exit)
let ssa = SsaBody {
blocks: vec![
SsaBlock {
id: BlockId(0),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(1),
phis: vec![],
body: vec![],
terminator: Terminator::Branch {
cond: dummy_cfg_node(),
true_blk: BlockId(2),
false_blk: BlockId(3),
condition: None,
},
preds: smallvec![BlockId(0), BlockId(2)],
succs: smallvec![BlockId(2), BlockId(3)],
},
SsaBlock {
id: BlockId(2),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![BlockId(1)],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(3),
phis: vec![],
body: vec![],
terminator: Terminator::Return(None),
preds: smallvec![BlockId(1)],
succs: smallvec![],
},
],
entry: BlockId(0),
value_defs: vec![],
cfg_node_map: HashMap::new(),
exception_edges: vec![],
};
let info = analyse_loops(&ssa);
assert_eq!(info.back_edges.len(), 1);
assert!(info.back_edges.contains(&(BlockId(2), BlockId(1))));
assert_eq!(info.loop_heads.len(), 1);
assert!(info.loop_heads.contains(&BlockId(1)));
}
#[test]
fn no_loop_linear() {
// B0 → B1 → B2
let ssa = SsaBody {
blocks: vec![
SsaBlock {
id: BlockId(0),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(1),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(2)),
preds: smallvec![BlockId(0)],
succs: smallvec![BlockId(2)],
},
SsaBlock {
id: BlockId(2),
phis: vec![],
body: vec![],
terminator: Terminator::Return(None),
preds: smallvec![BlockId(1)],
succs: smallvec![],
},
],
entry: BlockId(0),
value_defs: vec![],
cfg_node_map: HashMap::new(),
exception_edges: vec![],
};
let info = analyse_loops(&ssa);
assert!(info.back_edges.is_empty());
assert!(info.loop_heads.is_empty());
assert!(info.loop_bodies.is_empty());
assert!(!info.has_loops());
}
#[test]
fn nested_loops() {
// B0 → B1 (outer head) → B2 (inner head) → B3 → B2 (inner back)
// → B4 → B1 (outer back)
// B1 → B5 (outer exit)
let ssa = SsaBody {
blocks: vec![
SsaBlock {
id: BlockId(0),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(1),
phis: vec![],
body: vec![],
terminator: Terminator::Branch {
cond: dummy_cfg_node(),
true_blk: BlockId(2),
false_blk: BlockId(5),
condition: None,
},
preds: smallvec![BlockId(0), BlockId(4)],
succs: smallvec![BlockId(2), BlockId(5)],
},
SsaBlock {
id: BlockId(2),
phis: vec![],
body: vec![],
terminator: Terminator::Branch {
cond: dummy_cfg_node(),
true_blk: BlockId(3),
false_blk: BlockId(4),
condition: None,
},
preds: smallvec![BlockId(1), BlockId(3)],
succs: smallvec![BlockId(3), BlockId(4)],
},
SsaBlock {
id: BlockId(3),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(2)),
preds: smallvec![BlockId(2)],
succs: smallvec![BlockId(2)],
},
SsaBlock {
id: BlockId(4),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![BlockId(2)],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(5),
phis: vec![],
body: vec![],
terminator: Terminator::Return(None),
preds: smallvec![BlockId(1)],
succs: smallvec![],
},
],
entry: BlockId(0),
value_defs: vec![],
cfg_node_map: HashMap::new(),
exception_edges: vec![],
};
let info = analyse_loops(&ssa);
assert_eq!(info.back_edges.len(), 2);
assert!(info.back_edges.contains(&(BlockId(3), BlockId(2)))); // inner
assert!(info.back_edges.contains(&(BlockId(4), BlockId(1)))); // outer
assert_eq!(info.loop_heads.len(), 2);
assert!(info.loop_heads.contains(&BlockId(1)));
assert!(info.loop_heads.contains(&BlockId(2)));
}
// ─── Natural loop body ───────────────────────────────────────────────
#[test]
fn natural_body_simple_loop() {
// B0 → B1 → B2 → B1, B1 → B3
let ssa = SsaBody {
blocks: vec![
SsaBlock {
id: BlockId(0),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(1),
phis: vec![],
body: vec![],
terminator: Terminator::Branch {
cond: dummy_cfg_node(),
true_blk: BlockId(2),
false_blk: BlockId(3),
condition: None,
},
preds: smallvec![BlockId(0), BlockId(2)],
succs: smallvec![BlockId(2), BlockId(3)],
},
SsaBlock {
id: BlockId(2),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![BlockId(1)],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(3),
phis: vec![],
body: vec![],
terminator: Terminator::Return(None),
preds: smallvec![BlockId(1)],
succs: smallvec![],
},
],
entry: BlockId(0),
value_defs: vec![],
cfg_node_map: HashMap::new(),
exception_edges: vec![],
};
let info = analyse_loops(&ssa);
let body = info.loop_bodies.get(&BlockId(1)).unwrap();
assert!(body.contains(&BlockId(1))); // head
assert!(body.contains(&BlockId(2))); // body
assert!(!body.contains(&BlockId(0))); // pre-loop
assert!(!body.contains(&BlockId(3))); // post-loop
}
#[test]
fn natural_body_nested_excludes_outer() {
// Reuse the nested_loops SSA
let ssa = SsaBody {
blocks: vec![
SsaBlock {
id: BlockId(0),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(1),
phis: vec![],
body: vec![],
terminator: Terminator::Branch {
cond: dummy_cfg_node(),
true_blk: BlockId(2),
false_blk: BlockId(5),
condition: None,
},
preds: smallvec![BlockId(0), BlockId(4)],
succs: smallvec![BlockId(2), BlockId(5)],
},
SsaBlock {
id: BlockId(2),
phis: vec![],
body: vec![],
terminator: Terminator::Branch {
cond: dummy_cfg_node(),
true_blk: BlockId(3),
false_blk: BlockId(4),
condition: None,
},
preds: smallvec![BlockId(1), BlockId(3)],
succs: smallvec![BlockId(3), BlockId(4)],
},
SsaBlock {
id: BlockId(3),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(2)),
preds: smallvec![BlockId(2)],
succs: smallvec![BlockId(2)],
},
SsaBlock {
id: BlockId(4),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![BlockId(2)],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(5),
phis: vec![],
body: vec![],
terminator: Terminator::Return(None),
preds: smallvec![BlockId(1)],
succs: smallvec![],
},
],
entry: BlockId(0),
value_defs: vec![],
cfg_node_map: HashMap::new(),
exception_edges: vec![],
};
let info = analyse_loops(&ssa);
// Inner loop body: {B2, B3}
let inner = info.loop_bodies.get(&BlockId(2)).unwrap();
assert!(inner.contains(&BlockId(2)));
assert!(inner.contains(&BlockId(3)));
assert!(!inner.contains(&BlockId(1))); // outer head not in inner
assert!(!inner.contains(&BlockId(4))); // exit of inner not in inner
// Outer loop body: {B1, B2, B3, B4}
let outer = info.loop_bodies.get(&BlockId(1)).unwrap();
assert!(outer.contains(&BlockId(1)));
assert!(outer.contains(&BlockId(2)));
assert!(outer.contains(&BlockId(3)));
assert!(outer.contains(&BlockId(4)));
assert!(!outer.contains(&BlockId(5))); // post-loop not in outer
}
// ─── Exit successor ──────────────────────────────────────────────────
#[test]
fn exit_successor_simple() {
// B1 (loop head): true→B2 (body), false→B3 (exit)
let ssa = SsaBody {
blocks: vec![
SsaBlock {
id: BlockId(0),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(1),
phis: vec![],
body: vec![],
terminator: Terminator::Branch {
cond: dummy_cfg_node(),
true_blk: BlockId(2),
false_blk: BlockId(3),
condition: None,
},
preds: smallvec![BlockId(0), BlockId(2)],
succs: smallvec![BlockId(2), BlockId(3)],
},
SsaBlock {
id: BlockId(2),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![BlockId(1)],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(3),
phis: vec![],
body: vec![],
terminator: Terminator::Return(None),
preds: smallvec![BlockId(1)],
succs: smallvec![],
},
],
entry: BlockId(0),
value_defs: vec![],
cfg_node_map: HashMap::new(),
exception_edges: vec![],
};
let info = analyse_loops(&ssa);
assert_eq!(info.loop_exit_successor(&ssa, BlockId(1)), Some(BlockId(3)));
}
#[test]
fn exit_successor_goto_returns_none() {
// Single-block loop: B0 → B1 → B1 (Goto back to self)
let ssa = SsaBody {
blocks: vec![
SsaBlock {
id: BlockId(0),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(1),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![BlockId(0), BlockId(1)],
succs: smallvec![BlockId(1)],
},
],
entry: BlockId(0),
value_defs: vec![],
cfg_node_map: HashMap::new(),
exception_edges: vec![],
};
let info = analyse_loops(&ssa);
assert_eq!(info.loop_exit_successor(&ssa, BlockId(1)), None);
}
#[test]
fn exit_successor_both_in_body_returns_none() {
// Nested: outer head B1 branches to B2 (inner head, in outer body) and B3 (also in outer body)
// B3 → B1 (outer back edge)
let ssa = SsaBody {
blocks: vec![
SsaBlock {
id: BlockId(0),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(1),
phis: vec![],
body: vec![],
terminator: Terminator::Branch {
cond: dummy_cfg_node(),
true_blk: BlockId(2),
false_blk: BlockId(3),
condition: None,
},
preds: smallvec![BlockId(0), BlockId(3)],
succs: smallvec![BlockId(2), BlockId(3)],
},
SsaBlock {
id: BlockId(2),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(3)),
preds: smallvec![BlockId(1)],
succs: smallvec![BlockId(3)],
},
SsaBlock {
id: BlockId(3),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![BlockId(1), BlockId(2)],
succs: smallvec![BlockId(1)],
},
],
entry: BlockId(0),
value_defs: vec![],
cfg_node_map: HashMap::new(),
exception_edges: vec![],
};
let info = analyse_loops(&ssa);
// Both B2 and B3 are in the loop body for head B1
assert_eq!(info.loop_exit_successor(&ssa, BlockId(1)), None);
}
// ─── Induction variables ─────────────────────────────────────────────
#[test]
fn induction_var_simple_counter() {
// B0: v0 = Const("0"), v2 = Const("1")
// B1: v1 = Phi((B0, v0), (B2, v3)) ← induction var
// B2: v3 = Assign([v1, v2]) ← v1 + const
// B2 → B1 (back edge)
let ssa = SsaBody {
blocks: vec![
SsaBlock {
id: BlockId(0),
phis: vec![],
body: vec![
make_inst(0, SsaOp::Const(Some("0".into())), BlockId(0)),
make_inst(2, SsaOp::Const(Some("1".into())), BlockId(0)),
],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(1),
phis: vec![make_inst(
1,
SsaOp::Phi(smallvec![
(BlockId(0), SsaValue(0)),
(BlockId(2), SsaValue(3))
]),
BlockId(1),
)],
body: vec![],
terminator: Terminator::Branch {
cond: dummy_cfg_node(),
true_blk: BlockId(2),
false_blk: BlockId(3),
condition: None,
},
preds: smallvec![BlockId(0), BlockId(2)],
succs: smallvec![BlockId(2), BlockId(3)],
},
SsaBlock {
id: BlockId(2),
phis: vec![],
body: vec![make_inst(
3,
SsaOp::Assign(smallvec![SsaValue(1), SsaValue(2)]),
BlockId(2),
)],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![BlockId(1)],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(3),
phis: vec![],
body: vec![],
terminator: Terminator::Return(None),
preds: smallvec![BlockId(1)],
succs: smallvec![],
},
],
entry: BlockId(0),
value_defs: vec![
make_value_def(BlockId(0)), // v0
make_value_def(BlockId(1)), // v1
make_value_def(BlockId(0)), // v2
make_value_def(BlockId(2)), // v3
],
cfg_node_map: HashMap::new(),
exception_edges: vec![],
};
let info = analyse_loops(&ssa);
assert!(info.induction_vars.contains(&SsaValue(1)));
}
#[test]
fn non_induction_phi_not_detected() {
// B0: v0 = Source
// B1: v1 = Phi((B0, v0), (B2, v2))
// B2: v2 = Call("f", [v1]) ← NOT a simple increment
// B2 → B1
let ssa = SsaBody {
blocks: vec![
SsaBlock {
id: BlockId(0),
phis: vec![],
body: vec![make_inst(0, SsaOp::Source, BlockId(0))],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(1),
phis: vec![make_inst(
1,
SsaOp::Phi(smallvec![
(BlockId(0), SsaValue(0)),
(BlockId(2), SsaValue(2))
]),
BlockId(1),
)],
body: vec![],
terminator: Terminator::Branch {
cond: dummy_cfg_node(),
true_blk: BlockId(2),
false_blk: BlockId(3),
condition: None,
},
preds: smallvec![BlockId(0), BlockId(2)],
succs: smallvec![BlockId(2), BlockId(3)],
},
SsaBlock {
id: BlockId(2),
phis: vec![],
body: vec![make_inst(
2,
SsaOp::Call {
callee: "f".into(),
args: vec![smallvec![SsaValue(1)]],
receiver: None,
},
BlockId(2),
)],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![BlockId(1)],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(3),
phis: vec![],
body: vec![],
terminator: Terminator::Return(None),
preds: smallvec![BlockId(1)],
succs: smallvec![],
},
],
entry: BlockId(0),
value_defs: vec![
make_value_def(BlockId(0)), // v0
make_value_def(BlockId(1)), // v1
make_value_def(BlockId(2)), // v2
],
cfg_node_map: HashMap::new(),
exception_edges: vec![],
};
let info = analyse_loops(&ssa);
assert!(info.induction_vars.is_empty());
}
// ─── has_loops ───────────────────────────────────────────────────────
#[test]
fn has_loops_with_loop() {
let ssa = SsaBody {
blocks: vec![
SsaBlock {
id: BlockId(0),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(1)),
preds: smallvec![],
succs: smallvec![BlockId(1)],
},
SsaBlock {
id: BlockId(1),
phis: vec![],
body: vec![],
terminator: Terminator::Goto(BlockId(0)),
preds: smallvec![BlockId(0)],
succs: smallvec![BlockId(0)],
},
],
entry: BlockId(0),
value_defs: vec![],
cfg_node_map: HashMap::new(),
exception_edges: vec![],
};
let info = analyse_loops(&ssa);
assert!(info.has_loops());
}
}