* python: improve type generation with more specific typing
* Annotate function parameters
* Remove unused imports
* remove unused files
* remove temporary hack
* remove lock file
* fix Annotated import
* support Python 3.7
* Regenerate code with typing-extensions
* Fix setup.py
* More Pydantic v2 compatibility
* depend on pydantic v2
* fix client_echo tests
* fix JSON serialization
* Fix references
* Skip circular dependency tests for now
* Temporarily hide the "float" property
The "float" property aliases the "float" type and completely breaks the
model: all the properties that were "float" now become the type of the
"float" property instead.
* Fix errors
* Import Literal from typing_extensions
* Fix GitHub Action workflows
* Fix Python 3.7 failure
* Fix quotes
* Apply suggestions from code review
* Fix tests
* split model imports from other modules imports
* fix workflow
* Comment the array unique items convertion, remove set translation
* Replace alias usage
* python: several typing and style improvements
The generated (python) code fails with several standard validation tools,
including `flake8`, `mypy`, and `autoflake`. While fixing every possible
violation -- especially wrto typing -- woudl be a project, some of the
changes are fairly easy.
- The `autoflake` tool picks up on unused imports. These can just be removed.
- The `mypy` tool picks up on numerious typing violations, especially if set
to its strictest mode. As a starting point, all functions ought to annotate
a return type, including constructors, even if the return type is `None`
because otherwise the functions are omitted from type checking and it's
impossible to make incremental progress towards adding types.
- The `flake8` tool mostly finds whitespace and line-length issues; while
line-length standards very, the source already includes several flake8
ignores, so it seems safe to add a few more.
* Add generated files
* Restore imports used by `AbstractPythonCodegen.java`
* Update generated files
