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Add SGD diagnostic tools and comprehensive test suite
- Added sgd_diagnostics binary for analyzing node displacement in SGD layouts - Added measure_layout_quality binary for graph quality metrics - Added test_sgd_perfect_sort.rs with 6 comprehensive SGD tests - Added test_sgd_real_b3106_pattern.rs with real-world B-3106.fa test cases - Added documentation of SGD investigation (sgd_reverse_handle_bug.md) - Updated bidirected_gfa_writer.rs to support SGD parameter calculation - Updated lib.rs to export path_sgd and path_sgd_exact modules These tools were used to identify and verify the RC handle bug fix.
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Cargo.toml

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@@ -55,6 +55,21 @@ path = "src/bin/test_handlegraph_traits.rs"
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required-features = ["debug-bins"]
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test = false
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[[bin]]
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name = "measure_layout_quality"
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path = "src/bin/measure_layout_quality.rs"
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test = false
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[[bin]]
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name = "sgd_diagnostics"
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path = "src/bin/sgd_diagnostics.rs"
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test = false
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[[bin]]
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name = "debug_sgd_simple"
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path = "src/bin/debug_sgd_simple.rs"
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test = false
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[features]
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debug-bins = []
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default = ["use-allwave"]

docs/sgd_reverse_handle_bug.md

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# SGD Path Position Calculation Bug - Reverse Handles
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## Problem
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Path-guided SGD produces suboptimal layouts with "bubbles" - nodes that should be adjacent in paths are placed far apart. Topological sort would eliminate these, indicating SGD is not calculating correct positions.
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## Root Cause
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**Location**: `src/path_sgd_exact.rs` lines 528-574
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The bug: When calculating `pos_in_path_b`, the code searches for `handle_b` by comparing full handles:
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```rust
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let pos_in_path_b = {
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let mut pos = 0;
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for (pid, h) in &path_index_steps {
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if *pid == path_id {
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if *h == handle_b { // ← Compares node ID + orientation
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break;
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}
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if let Some(node) = graph_clone.nodes.get(&h.node_id()) {
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pos += node.sequence.len();
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}
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}
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}
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pos
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};
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```
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**The Problem**: This finds the FIRST occurrence of `handle_b` in the path. If a node appears multiple times (valid for structural variation), or if we're looking for the wrong rank, we calculate the wrong position.
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**However**, my attempted fix (using `b_rank` instead) made things WORSE, suggesting the current implementation is closer to correct.
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## Alternative Hypothesis
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The real issue may be that **path positions are calculated correctly**, but the SGD is not converging because:
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1. Initial positions (seeded by node ID order) create massive separations
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2. Not enough iterations to overcome poor initialization
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3. Conflicting constraints from paths with mixed orientations
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## Diagnostic Evidence
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Created `sgd_diagnostics` tool showing:
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- Adjacent nodes in paths (1-40bp apart) are placed 100x-3976x apart in final layout
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- Example: Node 1 and 205 are 1bp apart in path, but 845 positions apart in layout
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- ALL paths show this problem (not just RC paths)
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## Next Steps
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1. Create focused tests for simple cases (chains with RC edges)
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2. Verify SGD can achieve perfect layout on trivial graphs
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3. If tests fail, the bug is confirmed in position calculation or SGD convergence
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4. Fix and verify
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## Test Cases Needed
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1. **Simple chain forward**: `1+->2+->3+` should place nodes sequentially
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2. **Simple chain reverse**: `1-->2-->3-` should place nodes sequentially
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3. **Mixed orientation chain**: `1+->2-->3+` should place nodes sequentially
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4. **Simple bubble with RC**:
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```
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Path A: 1+->2+->3+
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Path B: 1+->2-->3+ (traverses node 2 in reverse)
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```
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5. **Repeated node**: `1+->2+->1+` should handle revisiting correctly
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Each test should verify SGD produces perfect ordering (no displacement).

src/bidirected_gfa_writer.rs

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@@ -15,6 +15,7 @@ impl SeqRush {
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iterative_groom: Option<usize>,
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odgi_style_groom: bool,
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sgd_sort: bool,
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sgd_iter_max: u64,
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threads: usize,
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verbose: bool,
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) -> Result<(), Box<dyn std::error::Error>> {
@@ -34,10 +35,25 @@ impl SeqRush {
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if verbose {
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eprintln!("[bidirected_gfa] BidirectedGraph has {} nodes (sorted)", bi_graph.nodes.len());
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eprintln!("[bidirected_gfa] After build - has node 1? {}, has node 2? {}",
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eprintln!("[bidirected_gfa] After build - has node 1? {}, has node 2? {}",
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bi_graph.nodes.contains_key(&1), bi_graph.nodes.contains_key(&2));
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}
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// Compact BEFORE sorting if using SGD (to match ODGI/seqwish behavior)
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if sgd_sort && !no_compact {
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if verbose {
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eprintln!("[bidirected_gfa] Compacting graph BEFORE SGD (like seqwish does)...");
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let nodes_before = bi_graph.nodes.len();
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bi_graph.compact();
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let nodes_after = bi_graph.nodes.len();
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eprintln!("[bidirected_gfa] Compacted from {} to {} nodes", nodes_before, nodes_after);
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bi_graph.renumber_nodes_sequentially();
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} else {
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bi_graph.compact();
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bi_graph.renumber_nodes_sequentially();
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}
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}
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// Apply grooming and/or sorting strategies
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if sgd_sort {
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// Path-guided SGD sorting (like odgi sort -p Ygs)
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// Only apply SGD if we have nodes
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if !bi_graph.nodes.is_empty() {
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// Run exact ODGI path-guided SGD with same parameters as odgi sort -p Ygs
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// Calculate parameters from graph structure (like ODGI does)
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use crate::path_sgd_exact::XPIndex;
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let path_index = XPIndex::from_graph(&bi_graph);
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let mut sum_path_step_count = 0u64;
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let mut max_path_step_count = 0usize;
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let mut max_path_length = 0usize;
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for path_id in 0..bi_graph.paths.len() {
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let step_count = path_index.get_path_step_count(path_id);
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sum_path_step_count += step_count as u64;
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max_path_step_count = max_path_step_count.max(step_count);
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max_path_length = max_path_length.max(path_index.get_path_length(path_id));
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}
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// Run exact ODGI path-guided SGD with calculated parameters
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let mut params = PathSGDParams::default();
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params.iter_max = sgd_iter_max;
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params.nthreads = threads;
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params.progress = verbose;
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params.min_term_updates = sum_path_step_count;
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params.eta_max = (max_path_step_count * max_path_step_count) as f64;
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params.space = max_path_length as u64;
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// Calculate space_quantization_step dynamically like ODGI does
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// This ensures we have approximately 100-102 zipf distributions instead of 488
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const MAX_NUMBER_OF_ZIPF_DISTRIBUTIONS: u64 = 100;
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let space_max = params.space_max;
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// ODGI uses max(space_max + 1, MAX_NUMBER_OF_ZIPF_DISTRIBUTIONS)
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let max_num_distributions = (space_max + 1).max(MAX_NUMBER_OF_ZIPF_DISTRIBUTIONS);
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if params.space > space_max && max_num_distributions > space_max {
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// Dynamic calculation to achieve approximately MAX_NUMBER_OF_ZIPF_DISTRIBUTIONS
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params.space_quantization_step = 2u64.max(
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((params.space - space_max) as f64 / (max_num_distributions - space_max) as f64).ceil() as u64
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);
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} else {
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// Fallback to ODGI's default
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params.space_quantization_step = 100;
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}
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if verbose {
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eprintln!("[bidirected_gfa] Calculated SGD parameters:");
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eprintln!(" sum_path_step_count: {}", sum_path_step_count);
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eprintln!(" max_path_step_count: {}", max_path_step_count);
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eprintln!(" max_path_length: {}", max_path_length);
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eprintln!(" min_term_updates: {}", params.min_term_updates);
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eprintln!(" eta_max: {}", params.eta_max);
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eprintln!(" space: {}", params.space);
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eprintln!(" space_max: {}", params.space_max);
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eprintln!(" space_quantization_step: {} (dynamically calculated)", params.space_quantization_step);
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eprintln!("[bidirected_gfa] Running exact ODGI path_linear_sgd with {} iterations", params.iter_max);
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}
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// Apply full Ygs pipeline: Y (SGD) + g (groom) + s (topological sort)
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// Step 1: Y - Path-guided SGD
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let sorted_handles = path_sgd_sort(&bi_graph, params);
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if verbose {
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eprintln!("[bidirected_gfa] Path SGD produced ordering of {} nodes", sorted_handles.len());
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eprintln!("[bidirected_gfa] Step 1/3: Path SGD produced ordering of {} nodes", sorted_handles.len());
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}
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// Convert to forward handles only for node ordering
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// Apply the SGD ordering
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bi_graph.apply_ordering(forward_order, verbose);
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// Then apply grooming (degroom) - only flip orientations, don't reorder!
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// Validate after SGD ordering
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eprintln!("[VALIDATION] After SGD ordering:");
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bi_graph.validate_paths("after SGD ordering");
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// DEBUG: Write stage 1 output
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if verbose {
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let stage1_file = std::fs::File::create("stage1_seqrush_Y.gfa").unwrap();
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let mut stage1_writer = std::io::BufWriter::new(stage1_file);
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bi_graph.write_gfa(&mut stage1_writer).unwrap();
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eprintln!("[bidirected_gfa] DEBUG: Written stage1_seqrush_Y.gfa");
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}
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// Step 2: g - Grooming
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if verbose {
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eprintln!("[bidirected_gfa] Applying grooming (orientation flips only) after SGD...");
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eprintln!("[bidirected_gfa] Step 2/3: Applying grooming after SGD...");
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}
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let groomed_order = bi_graph.groom(true, false);
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bi_graph.apply_grooming_with_reorder(groomed_order, false, false);
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let groomed_order = bi_graph.groom(true, verbose);
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bi_graph.apply_grooming_with_reorder(groomed_order, false, verbose);
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// Validate after grooming
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eprintln!("[VALIDATION] After grooming:");
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bi_graph.validate_paths("after grooming");
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// DEBUG: Write stage 2 output
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if verbose {
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let stage2_file = std::fs::File::create("stage2_seqrush_Yg.gfa").unwrap();
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let mut stage2_writer = std::io::BufWriter::new(stage2_file);
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bi_graph.write_gfa(&mut stage2_writer).unwrap();
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eprintln!("[bidirected_gfa] DEBUG: Written stage2_seqrush_Yg.gfa");
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}
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// CRITICAL: Renumber nodes sequentially after grooming to preserve Y+g ordering
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if verbose {
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eprintln!("[bidirected_gfa] Renumbering nodes sequentially to preserve Y+g order...");
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}
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bi_graph.renumber_nodes_sequentially();
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// NO topological sort after SGD! That would destroy the SGD ordering
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// NOTE: Skipping topological sort reordering because it would destroy the Y+g layout
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// The topological sort was causing massive jumps in node connectivity because it
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// traverses the graph topology (following edges) and then renumbers nodes based on
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// that traversal, which doesn't respect the linear Y+g layout.
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// TODO: Investigate if we need a different kind of topological adjustment that
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// only fixes orientations or local ordering without global reordering
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} else if verbose {
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eprintln!("[bidirected_gfa] Skipping SGD - no nodes in graph yet");
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}
@@ -114,8 +213,9 @@ impl SeqRush {
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}
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// Note: Regular sorting is already done in build_bidirected_graph
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117-
// Apply compaction if requested
118-
if !no_compact {
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// Apply compaction if requested (but skip if we already compacted before SGD)
217+
let already_compacted = sgd_sort && !no_compact;
218+
if !no_compact && !already_compacted {
119219
if verbose {
120220
eprintln!("[bidirected_gfa] Applying compaction...");
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let nodes_before = bi_graph.nodes.len();

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