PyIDF
ExtensionFreePyIDF plugin for VSCode: language for writing PyIDF python files (see https://docs.imandra.ai/idf-py/)
- Best for
- pyidf syntax highlighting and language server integration, pyidf code completion with formal specification templates, pyidf error diagnostics and formal specification validation
- Type
- Extension · Free
- Score
- 36/100
- Best alternative
- Replit
Capabilities6 decomposed
pyidf syntax highlighting and language server integration
Medium confidenceProvides real-time syntax highlighting and language intelligence for PyIDF Python files within VS Code through a custom language definition and language server protocol (LSP) integration. The extension registers PyIDF as a distinct language mode, enabling semantic tokenization of PyIDF-specific constructs (formal specifications, constraint declarations, verification directives) alongside standard Python syntax, with server-side analysis for type checking and validation.
Integrates Imandra's PyIDF-specific language semantics directly into VS Code's tokenization pipeline, enabling recognition of formal specification constructs (invariants, lemmas, proof tactics) as first-class language elements rather than treating them as library function calls
Unlike generic Python extensions, PyIDF extension understands formal verification syntax natively, providing targeted diagnostics for specification errors rather than generic Python linting
pyidf code completion with formal specification templates
Medium confidenceDelivers context-aware code completion for PyIDF constructs by maintaining a registry of formal specification keywords, proof tactics, and constraint declaration patterns. The completion engine analyzes the current cursor position within a PyIDF file, detects incomplete formal directives (e.g., @verify, @invariant, @lemma), and suggests completions with snippet templates that include placeholder parameters for formal properties, enabling developers to scaffold specifications without memorizing PyIDF syntax.
Completion registry is tailored to PyIDF's formal specification vocabulary (e.g., @verify, @invariant, @lemma, proof tactics) rather than generic Python completions, with snippet templates that pre-populate formal property placeholders matching PyIDF's declaration syntax
Provides PyIDF-specific completion templates that scaffold formal specifications, whereas generic Python LSPs (Pylance, Pyright) offer only standard library completions and would require manual typing of formal directives
pyidf error diagnostics and formal specification validation
Medium confidenceRuns real-time validation on PyIDF files by invoking the language server's diagnostic provider, which parses PyIDF syntax, type-checks formal specifications against the PyIDF type system, and validates constraint declarations for logical consistency. Diagnostics are reported as VS Code inline errors, warnings, and hints, with detailed messages explaining formal specification violations (e.g., 'invariant references undefined variable', 'proof tactic not applicable to goal type'), enabling developers to fix specification errors before runtime verification.
Diagnostic engine understands PyIDF's formal specification type system and constraint semantics, validating not just Python syntax but the logical structure of invariants, lemmas, and proof tactics against PyIDF's formal grammar
Goes beyond generic Python linters (pylint, flake8) by validating formal specification constructs; standard Python tools would flag PyIDF directives as undefined functions or syntax errors
pyidf documentation hover and definition navigation
Medium confidenceImplements VS Code's hover provider and definition navigation (go-to-definition, peek definition) for PyIDF constructs by maintaining a symbol table of PyIDF keywords, directives, and user-defined formal properties. When a developer hovers over a PyIDF directive (e.g., @invariant, @lemma) or references a formal property, the extension retrieves documentation from the bundled PyIDF schema or Imandra documentation, displaying inline tooltips with syntax, parameters, and usage examples. Definition navigation allows jumping to the declaration of user-defined lemmas, invariants, or proof strategies within the codebase.
Hover and definition providers are tailored to PyIDF's formal specification vocabulary, displaying documentation specific to formal verification directives and enabling navigation within formal property definitions, rather than generic Python symbol resolution
Provides PyIDF-specific documentation and navigation, whereas generic Python language servers (Pylance) would treat PyIDF directives as undefined symbols or library calls without formal verification context
pyidf file template and project scaffolding
Medium confidenceProvides VS Code command palette actions and file templates to scaffold new PyIDF projects and files with boilerplate formal specification structure. When invoked, the extension generates a PyIDF file template with imports, formal property declarations (invariants, lemmas), and proof strategy stubs, optionally parameterized by user input (e.g., class name, property type). This reduces setup friction for developers starting formal verification workflows and ensures consistency with PyIDF conventions.
Templates are PyIDF-specific, including formal specification boilerplate (invariant declarations, lemma stubs, proof strategy patterns) rather than generic Python class templates, enabling developers to start formal verification workflows immediately
Provides PyIDF-tailored scaffolding, whereas generic Python project templates (Cookiecutter, Yeoman) would require manual addition of formal specification structure and PyIDF imports
pyidf formatting and code style enforcement
Medium confidenceIntegrates a PyIDF-aware code formatter that enforces consistent style for formal specifications, including indentation, spacing around formal directives (@invariant, @lemma), and alignment of constraint declarations. The formatter is invoked via VS Code's format-on-save or manual format command, parsing the PyIDF file and applying style rules defined in the extension or a project-level PyIDF configuration file. This ensures that formal specifications maintain readability and consistency across team codebases.
Formatter understands PyIDF syntax and applies style rules specific to formal directives and constraint declarations, rather than treating them as generic Python function calls, enabling consistent formatting of formal specifications
Provides PyIDF-aware formatting, whereas generic Python formatters (Black, autopep8) would treat formal directives as regular function calls and may not preserve formal specification semantics
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓formal verification engineers using Imandra's PyIDF framework
- ✓ML/RL researchers embedding formal specifications in Python workflows
- ✓teams building safety-critical systems with formal methods
- ✓developers new to PyIDF learning formal specification patterns
- ✓experienced formal methods engineers accelerating specification writing
- ✓teams standardizing on PyIDF verification patterns across a codebase
- ✓formal verification engineers building safety-critical specifications
- ✓teams integrating formal methods into CI/CD pipelines
Known Limitations
- ⚠Syntax highlighting limited to PyIDF grammar version matching the extension build — updates require extension version bump
- ⚠LSP server latency depends on local machine resources; no async caching of analysis results
- ⚠No cross-file semantic analysis — each file validated in isolation without project-wide context
- ⚠Completion suggestions are static keyword-based, not semantic — no analysis of surrounding code to recommend relevant invariants
- ⚠Snippet templates are generic; no customization per project or team conventions without extension configuration
- ⚠No completion for user-defined formal properties or project-specific lemma libraries
Requirements
Input / Output
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PyIDF plugin for VSCode: language for writing PyIDF python files (see https://docs.imandra.ai/idf-py/)
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