Static type checks

[varun-r-mallya]

Adds static type checking to code. Does not check examples and tests.

[varun-r-mallya]

please check for breakages @r41k0u on your side

[Copilot]

Pull Request Overview

This PR adds static type checking support to the codebase by enabling mypy type checking and adding type annotations to improve code quality and maintainability.

• Enables mypy type checking in pre-commit configuration
• Adds type annotations to class attributes and function parameters/return types
• Excludes tests and examples from type checking and formatting

Reviewed Changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 3 comments.

File	Description
pythonbpf/maps/maps_utils.py	Adds type annotations for the _processors class attribute
pythonbpf/functions_pass.py	Adds type annotations for global variable and function return type
pythonbpf/codegen.py	Wraps subprocess call result in bool() for type consistency
.pre-commit-config.yaml	Enables mypy type checking and updates exclusion patterns

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[Copilot]

The type annotation dict[str | Any, Any] is overly permissive. Consider using a more specific type for the key (e.g., just str if all keys are strings) or define a TypedDict if the structure is predictable.

Suggested change

	local_var_metadata: dict[str | Any, Any] = {}
	local_var_metadata: dict[str, str] = {}

[Copilot]

The return type str | None | Any defeats the purpose of type checking. Consider using a more specific union type or Optional[str] if the function can return a string or None.

[Copilot]

The explicit bool() wrapper is unnecessary. The subprocess.run() result in a boolean context already evaluates correctly for the and operation on line 142.