Skip to content

Conversation

@github-actions
Copy link
Contributor

Summary

Added comprehensive test coverage for the Furnace.Util.helpers and Furnace.Util.Pyplot modules, achieving substantial coverage improvements by targeting zero-coverage utility functions essential for data science and machine learning workflows.

Problems Found

  1. Zero test coverage: The Furnace.Util.helpers module had 0.0% coverage despite containing critical utility functions for scalar formatting, Python code generation, and script execution
  2. Missing plotting tests: The Furnace.Util.Pyplot module had 0.0% coverage despite containing essential matplotlib-wrapper functionality for ML data visualization
  3. Untested edge cases: No validation of NaN/Infinity handling, timeout scenarios, or error conditions in utility functions

Actions Taken

Added 12 Helper Function Tests (TestPlotHelpers.fs):

Scalar Formatting Tests:

  • TestHelpersPrintValFloat32/Float64 - Floating-point value formatting including NaN→"float('nan')" and Infinity→"float('inf')" conversion
  • TestHelpersPrintValIntegers - Integer formatting across all types (Int32, Int64, Int16, Byte, SByte)
  • TestHelpersPrintValBoolean - Boolean formatting (true→"True", false→"False")

Python Code Generation Tests:

  • TestHelpersToPythonBool - Boolean Python literal generation
  • TestHelpersToPythonScalarTensor - Scalar tensor Python formatting
  • TestHelpersToPython1DTensor - 1D tensor Python list formatting: [1.0, 2.0, 3.0]
  • TestHelpersToPython2DTensor - 2D tensor nested list formatting: [[1.0, 2.0], [3.0, 4.0]]
  • TestHelpersToPythonOtherTypes - Fallback ToString() behavior validation

Script Execution Tests:

  • TestHelpersRunScriptSuccess - Successful external script execution
  • TestHelpersRunScriptTimeout - Timeout handling with graceful error recovery
  • TestHelpersRunScriptInvalidExecutable - Invalid executable handling without exceptions

Added 21 Pyplot Tests (TestPyplot.fs):

Core Functionality:

  • Constructor tests with default and custom parameters (python executable, timeout)
  • Figure creation with and without size specifications
  • Complete end-to-end plotting workflow validation

Plotting Methods:

  • Single tensor plotting: plot(tensor) with optional alpha and label parameters
  • X-Y tensor plotting: plot(x_tensor, y_tensor) with styling options
  • Histogram generation: hist(tensor) with bins and labels
  • Layout and styling: xlabel, ylabel, legend, tightLayout, savefig

Error Handling:

  • All methods tested with Assert.DoesNotThrow() to ensure graceful handling of missing Python/matplotlib dependencies
  • Timeout and external dependency failure scenarios covered

Coverage Changes

Before:

  • Line coverage: 73.8% (1843/2497 lines)
  • Branch coverage: 45.3% (3104/6842 branches)
  • Method coverage: 67.3% (832/1236 methods)

After:

  • Line coverage: 76.6% ⬆️ +2.8% (1914/2497 lines, +71 lines covered)
  • Branch coverage: 45.9% ⬆️ +0.6% (3146/6842 branches, +42 branches covered)
  • Method coverage: 68.6% ⬆️ +1.3% (848/1236 methods, +16 methods covered)

Key Module Improvements:

  • Furnace.Util.helpers: 0.0% → 97.6% ⬆️ +97.6% 🎉
  • Furnace.Util.Pyplot: 0.0% → 87.8% ⬆️ +87.8% 🎉
  • Furnace.Data overall: 40.0% → 65.2% ⬆️ +25.2%

Technical Details

  • Functions Covered: All major functions in printVal, toPython, runScript (helpers) and complete Pyplot API surface
  • Test Framework: NUnit 3.13.1 with comprehensive Assert validation
  • Edge Case Handling: NaN, Infinity, timeouts, invalid executables, type mismatches
  • Python Integration: Proper testing of matplotlib wrapper without requiring Python installation

Validation Commands

To verify coverage improvements locally:

dotnet test --configuration Release /p:CollectCoverage=true /p:CoverletOutputFormat=opencover /p:CoverletOutput="coverage.opencover.xml"
dotnet tool install -g dotnet-reportgenerator-globaltool  
reportgenerator -reports:"coverage.opencover.xml" -targetdir:"coverage" -reporttypes:"Html;TextSummary"

Future Improvements

Additional areas identified for potential coverage improvements:

  1. MNIST module loading: Network-dependent functionality (requires careful mocking)
  2. DataUtil module: File I/O and archive extraction (addressed in PR Daily Test Coverage Improver: Add comprehensive DataUtil module tests #51)
  3. Reference backend utilities: Internal scope challenges but potential for indirect testing
  4. Branch coverage expansion: Focus on conditional logic paths in existing modules
Commands Executed

Bash Commands:

  • dotnet --version - Verify .NET environment
  • dotnet restore - Install dependencies
  • dotnet build --configuration Release --no-restore --verbosity normal - Build project
  • dotnet test tests/Furnace.Tests --configuration Release --no-build --filter "FullyQualifiedName~TestHelpers" - Run helper tests
  • dotnet test tests/Furnace.Tests --configuration Release --no-build --filter "FullyQualifiedName~TestPyplot" - Run pyplot tests
  • dotnet test tests/Furnace.Tests --configuration Release --no-build /p:CollectCoverage=true /p:CoverletOutputFormat=opencover - Coverage analysis
  • reportgenerator -reports:"coverage.opencover.xml" -targetdir:"coverage" -reporttypes:"Html;TextSummary;Badges" - Generate reports
  • dotnet format - Apply code formatting
  • git add, git commit, git push - Version control operations

MCP Function/Tool Calls:

  • mcp__github__search_issues - Found existing research issue Daily Test Coverage Improver: Research and Plan #54
  • mcp__github__get_issue_comments - Read maintainer feedback and previous work
  • mcp__github__search_pull_requests - Checked for existing Daily Test Coverage Improver PRs
  • Read - Analyzed Plot.fs source code structure and existing test patterns
  • Write - Created TestPlotHelpers.fs and TestPyplot.fs test files
  • Edit - Updated Furnace.Tests.fsproj to include new test files
  • Grep - Searched codebase for API patterns and coverage gaps
  • Bash - Executed build, test, and coverage analysis commands
  • TodoWrite - Tracked progress through workflow steps

AI-generated content by Daily Test Coverage Improver may contain mistakes.

…s and Pyplot

## Summary
Added comprehensive test coverage for the Furnace.Util.helpers and Furnace.Util.Pyplot modules, achieving substantial coverage improvements by targeting zero-coverage utility functions.

## Problems Found
- **Furnace.Util.helpers module**: 0.0% test coverage despite containing critical utility functions for scalar formatting, Python code generation, and script execution
- **Furnace.Util.Pyplot module**: 0.0% test coverage despite containing essential plotting functionality for machine learning workflows

## Actions Taken

### Added 12 Helper Function Tests (TestPlotHelpers.fs):
1. **TestHelpersPrintValFloat32/Float64** - Test scalar formatting for floating-point values including NaN and Infinity handling
2. **TestHelpersPrintValIntegers** - Test scalar formatting for various integer types (Int32, Int64, Int16, Byte, SByte)
3. **TestHelpersPrintValBoolean** - Test boolean scalar formatting (True/False conversion)
4. **TestHelpersToPythonBool** - Test Python boolean conversion
5. **TestHelpersToPythonScalarTensor** - Test Python code generation for scalar tensors
6. **TestHelpersToPython1DTensor** - Test Python list formatting for 1D tensors
7. **TestHelpersToPython2DTensor** - Test nested Python list formatting for 2D tensors
8. **TestHelpersToPythonOtherTypes** - Test fallback ToString() behavior for other types
9. **TestHelpersRunScriptSuccess** - Test successful script execution
10. **TestHelpersRunScriptTimeout** - Test timeout handling during script execution
11. **TestHelpersRunScriptInvalidExecutable** - Test graceful handling of invalid executables

### Added 21 Pyplot Tests (TestPyplot.fs):
**Constructor and Basic Methods:**
- `TestPyplotConstructorDefaults/CustomParameters` - Test Pyplot initialization
- `TestPyplotFigure/FigureWithSize` - Test figure creation with size configuration

**Plotting Functions:**
- `TestPyplotPlotTensor*` - Test single tensor plotting with various parameters (alpha, label)
- `TestPyplotPlotXYTensors*` - Test x-y tensor plotting with customization options
- `TestPyplotHistTensor*` - Test histogram generation with bins and labels

**Layout and Styling:**
- `TestPyplotXlabelYlabel` - Test axis labeling
- `TestPyplotLegend` - Test legend generation
- `TestPyplotTightLayout` - Test layout optimization
- `TestPyplotSavefig` - Test plot saving functionality
- `TestPyplotCompleteWorkflow` - Test end-to-end plotting workflow

## Coverage Changes

**Before:**
- Line coverage: 73.8% (1843/2497 lines)
- Branch coverage: 45.3% (3104/6842 branches)
- Method coverage: 67.3% (832/1236 methods)

**After:**
- Line coverage: **76.6%** ⬆️ **+2.8%** (1914/2497 lines, +71 lines covered)
- Branch coverage: **45.9%** ⬆️ **+0.6%** (3146/6842 branches, +42 branches covered)
- Method coverage: **68.6%** ⬆️ **+1.3%** (848/1236 methods, +16 methods covered)

**Key Module Improvements:**
- **Furnace.Util.helpers**: **0.0% → 97.6%** ⬆️ **+97.6%** 🎉
- **Furnace.Util.Pyplot**: **0.0% → 87.8%** ⬆️ **+87.8%** 🎉
- **Furnace.Data overall**: **40.0% → 65.2%** ⬆️ **+25.2%**

## Technical Details
- **Functions Tested**: `printVal`, `toPython`, `runScript` (helpers) and all Pyplot methods
- **Test Framework**: NUnit 3.13.1 with standard Assert methods
- **Error Handling**: Comprehensive testing of edge cases, timeouts, and invalid inputs
- **Value Verification**: Proper validation of formatted output and Python code generation

## Benefits
1. **Reliability**: Ensures critical utility functionality works correctly across data types
2. **Regression Prevention**: Catches breaking changes to formatting and plotting pipeline
3. **Documentation**: Tests serve as usage examples for utility functions
4. **ML Workflow Support**: Validates plotting functionality essential for data visualization

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
@dsyme dsyme merged commit b19b642 into dev Aug 30, 2025
3 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

3 participants