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Add strategy enhancements for debugging sessions
Enhanced the high-yield test analysis strategy with: 1. Technique 20: Preserving test files in dev/sandbox between sessions - Guidelines for using dev/sandbox directory - Cleanup checklist for continuation prompts - Prevents accumulation of temporary files 2. Flexibility Rule for time management - Allow upgrading problem complexity when valuable - Easy→Medium or Medium→Hard when high impact discovered - Prevents abandoning valuable fixes due to rigid limits 3. Created continuation prompt for readonly undef chop issue - Documented 45 minutes of investigation - Preserved test cases in dev/sandbox - Ready for future implementation This session demonstrated effective use of time management strategy, creating a continuation prompt at the 45-minute checkpoint when the issue proved more complex than initially expected.
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# Fix Read-Only Undef in Chop Operations
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## Objective
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Fix the "Modification of a read-only value attempted" error when using chop on `+()` (unary plus on empty list), which currently crashes op/chop.t at line 245.
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## Problem Statement
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When `chop(+())` is executed, PerlOnJava throws a read-only modification error, but standard Perl allows this operation. This causes op/chop.t to crash at test 138.
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## Current Status
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- **Test file:** t/op/chop.t
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- **Crash at:** line 245 (`map chop(+()), ('')x68;`)
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- **Error:** "Modification of a read-only value attempted"
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- **Impact:** Test suite crashes, unable to run remaining tests
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## Root Cause Analysis
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### Investigation Done (45 minutes)
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1. Used `--disassemble` to trace bytecode generation
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2. Found that `+()` generates: `INVOKESTATIC org/perlonjava/operators/Operator.undef()`
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3. `Operator.undef()` returns `scalarUndef`, a cached read-only value
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4. Also found `RuntimeList.scalar()` returns `scalarUndef` for empty lists
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### Current Implementation
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```java
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// In Operator.java
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public static RuntimeScalar undef() {
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return scalarUndef; // Returns cached read-only value
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}
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// In RuntimeList.java
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public RuntimeScalar scalar() {
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if (isEmpty()) {
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return scalarUndef; // Returns cached read-only value
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}
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return elements.getLast().scalar();
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}
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```
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### Attempted Fixes That Failed
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1. **Changed Operator.undef() to return new RuntimeScalar()** - Still fails
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2. **Changed RuntimeList.scalar() to return new RuntimeScalar()** - Still fails
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3. **Created undefLvalue() method** - Couldn't identify where to use it
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### The Real Issue
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The problem appears to be in how `addToScalar()` works. When `+()` is evaluated:
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1. It calls `Operator.undef()` to get an initial value
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2. Then calls `addToScalar()` on that value
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3. But somewhere in this chain, a read-only value is being created or preserved
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## Proposed Solutions
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### Option 1: Track Lvalue Context
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Modify the code generation to detect when undef is needed in an lvalue context (like as an argument to chop) and use a different method.
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### Option 2: Make All Undefs Modifiable
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Always return modifiable undefs, accepting the performance cost. This is simpler but may have memory implications.
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### Option 3: Fix addToScalar Chain
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Investigate the full chain of `addToScalar()` calls to find where the read-only value is introduced.
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## Test Cases to Verify
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```perl
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# Minimal test case
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chop(+()); # Should not error
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# From op/chop.t line 245
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map chop(+()), ('')x68; # Should not error
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# Comparison
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chop(undef); # Should error (literal undef is read-only)
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my $x; chop($x); # Should work (variable undef is modifiable)
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```
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## Implementation Checklist
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- [ ] Identify exact code path from `+()` to chop
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- [ ] Determine where read-only flag is set
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- [ ] Implement fix to return modifiable undef in this context
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- [ ] Test with op/chop.t
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- [ ] Verify no regressions in other tests
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## Expected Impact
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- **Direct fix:** 1 crash in op/chop.t
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- **Indirect benefit:** Tests 138-148 can run (currently blocked by crash)
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- **Potential issues:** May affect performance if all undefs become modifiable
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## Complexity Assessment
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- **Estimated effort:** 1-2 hours (complex interaction between multiple systems)
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- **Risk level:** Medium (affects core scalar operations)
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- **Files involved:**
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- Operator.java
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- RuntimeList.java
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- RuntimeScalar.java
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- Possibly EmitOperator.java
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## Next Steps
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1. Trace the exact execution path with debugger
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2. Identify where RuntimeScalarReadOnly is introduced
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3. Implement targeted fix for this specific case
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4. Consider broader implications for other similar operations
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## Test Files Preserved
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- `dev/sandbox/readonly_undef_chop_test.pl` - Test cases for the issue
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## Cleanup Checklist
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- [ ] Remove `dev/sandbox/readonly_undef_*.pl` test files after fix
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- [ ] Revert changes to `Operator.java` and `RuntimeList.java` if not working
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- [ ] Clean up any `test_*.pl` files in project root
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- [ ] Move useful test cases to `src/test/resources/` if fix is successful
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## Code References
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- Bytecode generation: `EmitOperator.emitUndef()`
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- Operator implementation: `Operator.undef()`
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- List scalar conversion: `RuntimeList.scalar()`
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- Scalar assignment: `RuntimeList.addToScalar()`

dev/prompts/high-yield-test-analysis-strategy.md

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> 90 min | Any | Any | STOP - Create prompt
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```
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**Flexibility Rule: Upgrading Problem Complexity**
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If you're working on an **Easy** or **Medium** problem and discover:
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- The fix would have high impact (many tests fixed)
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- You're close to a solution but need more time
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- The learning value is significant
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**You can upgrade the complexity classification:**
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```
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Easy (15-30 min) → Medium (30-60 min)
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Medium (30-60 min) → Hard (60-90 min)
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```
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**When to upgrade:**
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- At the checkpoint, you understand the problem well
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- The fix affects more tests than initially estimated
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- You've found the root cause but implementation is complex
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- The issue reveals a systematic problem worth fixing
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**Example:**
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```
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Started: Easy problem (15 min budget)
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At 15 min: Found it affects 20 tests, not just 1
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Decision: Upgrade to Medium, continue for 30 more minutes
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At 45 min: Have working fix, just needs testing
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Decision: Complete the fix (worth the time investment)
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```
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This flexibility prevents abandoning valuable fixes due to rigid time limits while still maintaining discipline.
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## Quick Start: Finding High-Yield Targets
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### Step 1: Use Automated Analysis Tools
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### Temporary Debug Tests
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For quick debugging (files in project root), simple scripts without Test::More are fine. These should be cleaned up after use.
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### Technique 20: Preserving Test Files Between Sessions
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**IMPORTANT:** If you need to preserve test files for continuation in another session:
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```bash
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# Save important test files to dev/sandbox
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mv test_*.pl dev/sandbox/
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cp important_test.pl dev/sandbox/issue_name_test.pl
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# Document in the continuation prompt
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echo "Test files saved in dev/sandbox/:
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- issue_name_test.pl - reproduces the bug
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- debug_output.txt - contains diagnostic output" >> dev/prompts/fix-issue.md
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```
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**Best Practice:**
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1. Use `dev/sandbox/` directory for files that need to persist
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2. Name files descriptively: `issue_readonly_undef_test.pl`
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3. **Add to continuation prompt:** "Clean up dev/sandbox/issue_* files after fix"
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4. Don't commit sandbox files unless they become permanent tests
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**Example in continuation prompt:**
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```markdown
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## Cleanup Checklist
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- [ ] Remove dev/sandbox/readonly_undef_*.pl test files
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- [ ] Move useful tests to src/test/resources/ if needed
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- [ ] Clear any debug output files in dev/sandbox/
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```
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This prevents accumulation of temporary files while preserving important debugging context.
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## Common PerlOnJava Patterns
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### Pattern 1: Context Parameters

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