impl ShowcaseGallery {
#[provable_contracts_macros::contract("pmat-core.yaml", equation = "check_compliance")]
fn initialize_showcase_repositories(&mut self) {
self.add_systems_and_web_repositories();
self.add_cloud_and_tools_repositories();
}
#[provable_contracts_macros::contract("pmat-core.yaml", equation = "check_compliance")]
fn add_systems_and_web_repositories(&mut self) {
self.add_repository(ShowcaseRepository {
name: "Tokio".to_string(),
url: "https://github.com/tokio-rs/tokio".to_string(),
description: "A runtime for writing reliable asynchronous applications with Rust"
.to_string(),
primary_language: "rust".to_string(),
languages: vec!["rust".to_string()],
frameworks: vec!["Tokio".to_string()],
category: RepositoryCategory::SystemsProgramming,
complexity_tier: ComplexityTier::Advanced,
estimated_analysis_time_seconds: 45,
highlights: vec![
"Complex async runtime implementation".to_string(),
"Extensive use of unsafe Rust".to_string(),
"High test coverage".to_string(),
"Advanced concurrency patterns".to_string(),
],
analysis_preview: Some(AnalysisPreview {
estimated_files: 200,
estimated_functions: 1500,
estimated_complexity: 8.5,
key_insights: vec![
"Complex state machines for async operations".to_string(),
"Sophisticated memory management".to_string(),
"Extensive macro usage for code generation".to_string(),
],
recommended_focus_areas: vec![
"Async runtime components".to_string(),
"Thread pool implementation".to_string(),
"I/O driver abstractions".to_string(),
],
}),
});
self.add_repository(ShowcaseRepository {
name: "Django".to_string(),
url: "https://github.com/django/django".to_string(),
description: "The Web framework for perfectionists with deadlines".to_string(),
primary_language: "python".to_string(),
languages: vec!["python".to_string(), "javascript".to_string()],
frameworks: vec!["Django".to_string()],
category: RepositoryCategory::WebFramework,
complexity_tier: ComplexityTier::Advanced,
estimated_analysis_time_seconds: 60,
highlights: vec![
"Comprehensive web framework".to_string(),
"ORM with query optimization".to_string(),
"Extensive middleware system".to_string(),
"Admin interface auto-generation".to_string(),
],
analysis_preview: Some(AnalysisPreview {
estimated_files: 800,
estimated_functions: 5000,
estimated_complexity: 7.2,
key_insights: vec![
"Layered architecture with clear separation".to_string(),
"Heavy use of metaclasses and descriptors".to_string(),
"Database abstraction layer complexity".to_string(),
],
recommended_focus_areas: vec![
"ORM query generation".to_string(),
"Template engine implementation".to_string(),
"Middleware pipeline".to_string(),
],
}),
});
self.add_repository(ShowcaseRepository {
name: "React".to_string(),
url: "https://github.com/facebook/react".to_string(),
description: "The library for web and native user interfaces".to_string(),
primary_language: "javascript".to_string(),
languages: vec!["javascript".to_string(), "typescript".to_string()],
frameworks: vec!["React".to_string()],
category: RepositoryCategory::WebFramework,
complexity_tier: ComplexityTier::Advanced,
estimated_analysis_time_seconds: 40,
highlights: vec![
"Virtual DOM implementation".to_string(),
"Fiber reconciliation algorithm".to_string(),
"Hooks system".to_string(),
"Concurrent rendering features".to_string(),
],
analysis_preview: Some(AnalysisPreview {
estimated_files: 300,
estimated_functions: 2000,
estimated_complexity: 7.8,
key_insights: vec![
"Complex state reconciliation logic".to_string(),
"Sophisticated scheduling algorithms".to_string(),
"Memory optimization for component trees".to_string(),
],
recommended_focus_areas: vec![
"Fiber reconciler core".to_string(),
"Hooks implementation".to_string(),
"Scheduling and priority systems".to_string(),
],
}),
});
self.add_repository(ShowcaseRepository {
name: "Kubernetes".to_string(),
url: "https://github.com/kubernetes/kubernetes".to_string(),
description: "Production-Grade Container Scheduling and Management".to_string(),
primary_language: "go".to_string(),
languages: vec!["go".to_string(), "yaml".to_string(), "shell".to_string()],
frameworks: vec!["Kubernetes".to_string()],
category: RepositoryCategory::CloudNative,
complexity_tier: ComplexityTier::Expert,
estimated_analysis_time_seconds: 120,
highlights: vec![
"Distributed systems architecture".to_string(),
"Container orchestration".to_string(),
"API server design".to_string(),
"Extensive controller patterns".to_string(),
],
analysis_preview: Some(AnalysisPreview {
estimated_files: 2000,
estimated_functions: 15000,
estimated_complexity: 9.2,
key_insights: vec![
"Complex state management across cluster".to_string(),
"Sophisticated API machinery".to_string(),
"Extensive use of Go interfaces and composition".to_string(),
],
recommended_focus_areas: vec![
"API server and etcd integration".to_string(),
"Controller and operator patterns".to_string(),
"Scheduler implementation".to_string(),
],
}),
});
}
#[provable_contracts_macros::contract("pmat-core.yaml", equation = "check_compliance")]
fn add_cloud_and_tools_repositories(&mut self) {
self.add_repository(ShowcaseRepository {
name: "VS Code".to_string(),
url: "https://github.com/microsoft/vscode".to_string(),
description: "Visual Studio Code - Open Source IDE".to_string(),
primary_language: "typescript".to_string(),
languages: vec![
"typescript".to_string(),
"javascript".to_string(),
"css".to_string(),
],
frameworks: vec!["Electron".to_string(), "Monaco Editor".to_string()],
category: RepositoryCategory::DeveloperTools,
complexity_tier: ComplexityTier::Expert,
estimated_analysis_time_seconds: 90,
highlights: vec![
"Advanced text editor implementation".to_string(),
"Extension system architecture".to_string(),
"Language server protocol".to_string(),
"Cross-platform desktop application".to_string(),
],
analysis_preview: Some(AnalysisPreview {
estimated_files: 1500,
estimated_functions: 10000,
estimated_complexity: 8.9,
key_insights: vec![
"Sophisticated extension host architecture".to_string(),
"Complex text buffer and editor implementations".to_string(),
"Extensive use of TypeScript advanced features".to_string(),
],
recommended_focus_areas: vec![
"Extension host and API design".to_string(),
"Monaco editor core".to_string(),
"Language service integration".to_string(),
],
}),
});
self.add_repository(ShowcaseRepository {
name: "ripgrep".to_string(),
url: "https://github.com/BurntSushi/ripgrep".to_string(),
description: "A line-oriented search tool that recursively searches for patterns"
.to_string(),
primary_language: "rust".to_string(),
languages: vec!["rust".to_string()],
frameworks: vec!["clap".to_string(), "regex".to_string()],
category: RepositoryCategory::DeveloperTools,
complexity_tier: ComplexityTier::Intermediate,
estimated_analysis_time_seconds: 15,
highlights: vec![
"High-performance search algorithms".to_string(),
"Memory-efficient processing".to_string(),
"Cross-platform compatibility".to_string(),
"Rich CLI interface".to_string(),
],
analysis_preview: Some(AnalysisPreview {
estimated_files: 50,
estimated_functions: 300,
estimated_complexity: 5.5,
key_insights: vec![
"Well-structured command-line tool".to_string(),
"Efficient file system traversal".to_string(),
"Optimized pattern matching algorithms".to_string(),
],
recommended_focus_areas: vec![
"Search algorithm implementation".to_string(),
"File type detection logic".to_string(),
"Output formatting systems".to_string(),
],
}),
});
self.add_repository(ShowcaseRepository {
name: "pandas".to_string(),
url: "https://github.com/pandas-dev/pandas".to_string(),
description: "Flexible and powerful data analysis/manipulation library".to_string(),
primary_language: "python".to_string(),
languages: vec!["python".to_string(), "cython".to_string()],
frameworks: vec!["NumPy".to_string(), "Cython".to_string()],
category: RepositoryCategory::DataScience,
complexity_tier: ComplexityTier::Advanced,
estimated_analysis_time_seconds: 75,
highlights: vec![
"Complex data structures (DataFrame, Series)".to_string(),
"High-performance computing with Cython".to_string(),
"Extensive I/O capabilities".to_string(),
"Statistical and analytical functions".to_string(),
],
analysis_preview: Some(AnalysisPreview {
estimated_files: 600,
estimated_functions: 4000,
estimated_complexity: 8.1,
key_insights: vec![
"Complex data type system and indexing".to_string(),
"Extensive use of Cython for performance".to_string(),
"Sophisticated memory management".to_string(),
],
recommended_focus_areas: vec![
"Core data structures implementation".to_string(),
"I/O and serialization systems".to_string(),
"Statistical computation engines".to_string(),
],
}),
});
self.add_repository(ShowcaseRepository {
name: "Lodash".to_string(),
url: "https://github.com/lodash/lodash".to_string(),
description:
"A modern JavaScript utility library delivering consistency and performance"
.to_string(),
primary_language: "javascript".to_string(),
languages: vec!["javascript".to_string()],
frameworks: vec![],
category: RepositoryCategory::DeveloperTools,
complexity_tier: ComplexityTier::Beginner,
estimated_analysis_time_seconds: 8,
highlights: vec![
"Comprehensive utility functions".to_string(),
"Functional programming patterns".to_string(),
"High test coverage".to_string(),
"Consistent API design".to_string(),
],
analysis_preview: Some(AnalysisPreview {
estimated_files: 200,
estimated_functions: 800,
estimated_complexity: 3.2,
key_insights: vec![
"Well-organized utility function library".to_string(),
"Consistent parameter handling patterns".to_string(),
"Extensive edge case handling".to_string(),
],
recommended_focus_areas: vec![
"Array and object manipulation functions".to_string(),
"String processing utilities".to_string(),
"Type checking and validation systems".to_string(),
],
}),
});
}
#[provable_contracts_macros::contract("pmat-core.yaml", equation = "check_compliance")]
fn add_repository(&mut self, repo: ShowcaseRepository) {
let category = repo.category.clone();
let name = repo.name.clone();
self.repositories.insert(name.clone(), repo);
self.categories.entry(category).or_default().push(name);
}
}