Type checking rules in visual studio code for python

type checking in visual studio code for python is performed with the help of the python type hinting system. type hinting allows you to specify the expected types of function arguments, return values, and variables. visual studio code uses this information to provide type checking and code suggestions to help you catch type errors early and write more robust code.

here are some key type checking rules to keep in mind when using visual studio code for python:

1. **function annotations**: you can provide type hints for function arguments and return values using the `-` syntax. for example:


2. **type inference**: visual studio code uses type inference to determine the types of variables based on their usage. you can also explicitly specify the type of variables:


3. **union types**: you can specify multiple possible types for a variable using the `union` type from the `typing` module:


4. **optional types**: you can indicate that a parameter or variable can be `none` using the `optional` type:


5. **type checking with mypy**: visual studio code uses the `mypy` static type checker to perform type checking. make sure you have `mypy` installed in your python environment to enable type checking.

now, let's see an example to demonstrate type checking in visual studio code:

in this example, we have a `divide` function that takes two arguments of type `int` or `float` and returns the result of the division. visual studio code will check if the types provided to the function are compatible with the expected types and will provide type error warnings if there is a mismatch.

by following these type checking rules and leveraging the type hinting system in python, you can write more reliable and maintainable code in visual studio code.

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