kandi X-RAY | mypy Summary
kandi X-RAY | mypy Summary
. Mypy: Static Typing for Python.
Top functions reviewed by kandi - BETA
- Process command line options
- Returns whether a callable is compatible with a function or function .
- Finds an IsInstance_type check .
- Test whether two types are overlapping .
- Checks if the given operation is reversible .
- Builds a list of varargs .
- Throw an exception for an invalid argument .
- Emit cast .
- Generate a function item .
- Collect all attributes of a class .
mypy Key Features
mypy Examples and Code Snippets
from mypy.plugin import Plugin from mypy.plugins.attrs import ( attr_attrib_makers, attr_class_makers, attr_dataclass_makers, ) # These work just like `attr.dataclass`. attr_dataclass_makers.add("my_module.method_looks_like_attr_dataclass")
$ mypy t.py t.py:12: error: Argument 1 to "SomeClass" has incompatible type "str"; expected "int" @attr.s class SomeClass: a_number = attr.ib(default=42) # type: int list_of_numbers = attr.ib(factory=list, type=list[int])
[mypy] plugins = numpy.typing.mypy_plugin
def add(x: int, y: int) -> int: return x + y
AnyEnum = TypeVar("AnyEnum", Enum, IntEnum) def decode(value: str, enum_class: Type[AnyEnum]) -> AnyEnum: return make_map(enum_class)[value] @functools.cache() def make_map(enum_class: Type[AnyEnum]) -> Dict[str, AnyEnum]:
class ImplB(ImplA): async def ainit(self, arg1: str, arg2: float, arg3: int) -> None: # type: ignore [override] await super().ainit(arg3, arg2) self.c = arg1
python -m pip install --user cython python -m pip install --user cytoolz python -m pip install --user eth-brownie
class BaseClass(metaclass=ABCMeta): @property @abstractmethod def class_name(self) -> str: pass @property @abstractmethod def class_val(self) -> int: pass @abstractmethod def foo(self):
class Config(NamedTuple): func: Callable[[int], int] | Callable[[str], int]
Callable[[int & str], int]
Callable[[int | str], int]
def repr(x: object) -> str: ...
Trending Discussions on mypy
I'm trying to install eth-brownie using 'pipx install eth-brownie' but I get an error saying...
ANSWERAnswered 2022-Jan-02 at 09:59
I used pip install eth-brownie and it worked fine, I didnt need to downgrade. Im new to this maybe I could be wrong but it worked fine with me.
We have a number of dataclasses representing various results with common ancestor
Result. Each result then provides its data using its own subclass of
ResultData. But we have trouble to annotate the case properly.
We came up with following solution:...
ANSWERAnswered 2022-Jan-31 at 15:10
As hinted in the comments, the
_data_cls attribute could be removed, assuming that it's being used for type hinting purposes. The correct way to annotate a Generic class defined like
class MyClass[Generic[T]) is to use
MyClass[MyType] in the type annotations.
For example, hopefully the below works in mypy. I only tested in Pycharm and it seems to infer the type well enough at least.
If I have the file
mypytest/models.py that looks like this:
ANSWERAnswered 2022-Feb-12 at 00:16
I believe the problem here is that
db.Base is a variable, not a type alias.
It's unclear from your example exactly why you need a dynamic base class. Inlining
FakeBaseModel would obviously work; you could also just use a type alias while running the type checking:
Instance attributes are typically annotated on the class:...
ANSWERAnswered 2022-Feb-03 at 17:05
This is currently broken in mypy as it assumes you are creating a method, here is the relevant issue https://github.com/python/mypy/issues/708.
Typing the function in the init works fine as it won't think it's a method on the class, the following code passes type checking properly and
func's type is inferred from the parameter. The attribute assignment can also be typed directly if the parameter is not viable.
ANSWERAnswered 2021-Nov-14 at 17:00
I have the following in
ANSWERAnswered 2022-Jan-22 at 19:13
The syntax you use is recognized as a function stub, not as a function implementation.
Normally, a function stub is written as:
I have an input file...
ANSWERAnswered 2022-Jan-14 at 10:30
Consider the following code:...
ANSWERAnswered 2022-Jan-09 at 18:56
dict[str | tuple[str, str], str] isn't just a dict with either
tuple[str, str] keys. It's a dict you can add more
tuple[str, str] keys to.
You can't add
str keys to a
dict[tuple[str, str], str], and you can't add
tuple[str, str] keys to a
dict[str, str], so those types aren't compatible.
If you pass a literal dict directly to
foo (or to
baz), that literal has no static type. mypy infers a type for the dict based on the context. Many different types may be inferred for a literal based on its context. When you pass
b already has a static type, and that type is incompatible with
The following code:...
ANSWERAnswered 2022-Jan-07 at 15:46
I don't know how it's affecting the types. I do know that using len() can work the same way. It is slower but if it solves the problem it might be worth it. Sorry that it's not much help
In my Enum, i have defined a classmethod for coercing a given value to an Enum member. The given value may already be an instance of the Enum, or it may be a string holding an Enum value. In order to decide whether it needs conversion, i check if the argument is an instance of the class, and only pass it on to int() if it is not. At which point – according to the type hints for the argument 'item' – it must be a string.
The class look like this:...
ANSWERAnswered 2022-Jan-06 at 15:02
It's because int cannot be constructed from Enum. From documentation of
If x is not a number or if base is given, then x must be a string, bytes, or bytearray instance representing an integer literal in radix base
So to make it work you can make your Enum inherit from str
No vulnerabilities reported
You can use mypy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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