typeguard | Run-time type checker for Python
kandi X-RAY | typeguard Summary
kandi X-RAY | typeguard Summary
Run-time type checker for Python
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Top functions reviewed by kandi - BETA
- Check if value is a tuple
- Check the type of the given value
- Return fully qualified name
- Check that the given value is a typed dictionary
- Check that a value is a mapping
- Convert source to code
- Check the union type of a union
- Get the name of a type
- Check that the union matches the given type
- Check if value is a set
- Check that value is a sequence
- Check that value is a list
- Check that value is an instance of origin_type
- Check whether value is an instance of origin_type
- Check if value is an instance of origin_type
typeguard Key Features
typeguard Examples and Code Snippets
Lines of Code : 7License : Permissive (MIT)
Copy(new TypeGuard('string'))->match('foo'); // => true
(new TypeGuard('stdClass'))->match(new stdClass()); // => true
$guard = new TypeGuard('string|integer');
$guard->match('foo'); // => true
$guard->match(1); // => true
(new class MyClass:
a: Optional[int]
b: Optional[str]
# Some other things
# Two hidden classes for the different types
class _MyClassInt(MyClass):
a: int
b: None
class _MyClassStr(MyClass):
a: None
b: str
def somefrom typing import TypeGuard
def is_str_list(val: list[int | str]) -> TypeGuard[list[str]]:
"""Determines whether all objects in the list are strings"""
return all(isinstance(x, str) for x in val)
def is_int_list(val: list[iclass SingularFoo(Foo):
"""A subclass for an instance of `Foo` where `values` is `None`"""
value: int
other: int
def __init__(self, value: int, other: int) -> None:
super().__init__(value, other)
module purge
module load devel/cuda
/usr/bin/python3.8 -m venv venv
source venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txt
from typing import TypeGuard
class LowerStr(str):
'''a dummy subclass of str, not actually used at runtime'''
def is_lower_str(val: str) -> TypeGuard[LowerStr]:
return val.islower()
l: list[LowerStr] = []
def append(lst:
@mock.patch("test_mock_multiprocessing._f", side_effect=mocked_f)
@pytest.mark.parametrize("method", [map_f, multimap_f])
def test_mocked(mocker, method):
start_method = multiprocessing.get_start_method()
try:
multiprocessdef accepts_int_instances(x: int) -> None:
pass
class IntSubclass(int):
pass
accepts_int_instances(42) # passes MyPy (an instance of `int`)
accepts_int_instances(IntSubclass(666)) # passes MyPy (an instance of a subclass of from typing import TypeGuard, Optional
class Foo1:
def __init__(self, bar: Optional[int] = None) -> None:
self.bar = bar
@staticmethod
def check_bar(bar: Optional[int]) -> TypeGuard[int]:
return bar from typing import TypeGuard
def ComplexTypeAssertion(data: object) -> TypeGuard[list[str]]:
return isinstance(data, list) and all(isinstance(value, str) for value in data)
Community Discussions
Trending Discussions on typeguard
QUESTION
I am unsure as to how to formulate my question, so bear with me if the question title looks incorrect to you.
...ANSWER
Answered 2022-Mar-18 at 16:43function foo(param?: Param): Param extends false | undefined ? T[][] : (T | undefined)[][]
QUESTION
Say I've got a Foo object which has multiple fields which can either be None or some other type. Whether or not the field is None relates to whether other fields are None or not, so by checking one field, I can instantly know if the other fields are None.
I understand this is terrible class design, but I'm not able to modify it as it is other people's code that I am annotating.
It looks like TypeGuards introduced in PEP 647 are my best bet for adding this functionality, but I can't figure out how I could specifically apply them to this situation. I've attached an attempt I made with subclasses, but it fails both in MyPy and in Pyright.
ANSWER
Answered 2022-Feb-20 at 16:15What if you're explicit about the types in SingularFoo? This seems to make mypy happy:
QUESTION
We have a utility in our codebase to generate a typeguard to narrow a discriminated union:
...ANSWER
Answered 2022-Feb-10 at 12:49You just need to add extra restriction to Branch generic:
QUESTION
I cannot find a way to pip install the following Python modules without compatibility issues (from a requirements.txt file, on Red Hat Enterprise Linux release 8.2):
...ANSWER
Answered 2022-Feb-09 at 08:11The problem was caused by jupyter/tensorflow being loaded in the background. The following solved the issue:
QUESTION
I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:
...ANSWER
Answered 2022-Feb-07 at 09:19It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason
QUESTION
I am currently working on a react typescript app and I'm trying to properly type my axios interceptor. I can't seem to figure out exactly how to crack the types.
TL;DR The Problem: TS not recognizing my axios interceptor response configuration types properly.
My Code --Interceptor creation
...ANSWER
Answered 2022-Jan-18 at 08:53You shouldn't be returning the error return error; in the API function which is why TypeScript is forcing you to check the type in the then clause because it is expecting an error as a possible return type. Catch clause is only run when an error is thrown throw error or when a promise is rejected Promise.reject.
QUESTION
I encountered a very weird bug. In my project, I have unit tests where I mock some methods (download methods for instance) that are called within a multiprocessing operation.
Those unit tests work fine on my CI, but when I try to run them locally on Mac OSX, the mock isn't taken into account.
I implemented the following minimal reproducible example:
...ANSWER
Answered 2021-Dec-22 at 05:54The difference between the behavior under Linux and MacOs has probably to do with the multiprocessing start method. On Linux, the default start method is fork, while on MacOS and Windows it is spawn.
If using fork, your processes are forked in the current state, including the mocking, while with using spawn, a new Python interpreter is launched, where the mock will not work. Under MacOs (but not under Windows) you can change the start method to fork in your test:
QUESTION
I have a reducer that does different actions depending on the action.type, actions payload is different for certain actions.
ANSWER
Answered 2021-Dec-21 at 08:07Action interface by default comes with type property.
QUESTION
I'm trying to better understand typeguards. I think this is possible but I can't seem to get it working: if a parameter "foo" is true, then parameter "bar" is required to have a value.
Currently checking at runtime to accomplish the same thing:
...ANSWER
Answered 2021-Dec-12 at 01:57If you want TypeScript to complain when you don't check for undefined, you have to enable the --strictNullChecks compiler option, which is also included in the --strict suite of compiler features. If you're not using --strict then you probably should, as it gives something like a "standard" or "recommended" level of type safety.
Right now you presumably have it disabled, which means the following is not an error:
QUESTION
I want to write a typeguard to check if all children of array are of type T thus making it an Array where T is a generic type
...ANSWER
Answered 2021-Dec-01 at 21:26The best thing you could do is this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install typeguard
You can use typeguard 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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