Skip to main content

Run-time type checker for Python

Project description

Build Status Code Coverage

This library provides run-time type checking for functions defined with argument type annotations.

The typing module introduced in Python 3.5 (and available on PyPI for older versions of Python 3) is supported. See below for details.

There are two principal ways to use type checking, each with its pros and cons:

  1. calling check_argument_types() from within the function body:

    debugger friendly but cannot check the type of the return value

  2. decorating the function with @typechecked:

    can check the type of the return value but adds an extra frame to the call stack for every call to a decorated function

If a function is called with incompatible argument types or a @typechecked decorated function returns a value incompatible with the declared type, a descriptive TypeError exception is raised.

Type checks can be fairly expensive so it is recommended to run Python in “optimized” mode (python -O or setting the PYTHONOPTIMIZE environment variable) when running code containing type checks in production. The optimized mode will disable the type checks, by virtue of removing all assert statements and setting the __debug__ constant to False.

Using check_argument_types():

from typeguard import check_argument_types

def some_function(a: int, b: float, c: str, *args: str):
    assert check_argument_types()
    ...

Using @typechecked:

from typeguard import typechecked

@typechecked
def some_function(a: int, b: float, c: str, *args: str) -> bool:
    ...

To enable type checks even in optimized mode:

@typechecked(always=True)
def foo(a: str, b: int, c: Union[str, int]) -> bool:
   ...

The following types from the typing package have specialized support:

Type

Notes

Dict

Keys and values are typechecked

List

Contents are typechecked

Set

Contents are typechecked

Tuple

Contents are typechecked

Callable

Argument count is checked but types are not (yet)

TypeVar

Constraints, bound types and co/contravariance are supported but custom generic types are not (due to type erasure)

Union

Project details


Release history Release notifications | RSS feed

This version

1.1.3

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

typeguard-1.1.3.tar.gz (9.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

typeguard-1.1.3-py3-none-any.whl (8.4 kB view details)

Uploaded Python 3

File details

Details for the file typeguard-1.1.3.tar.gz.

File metadata

  • Download URL: typeguard-1.1.3.tar.gz
  • Upload date:
  • Size: 9.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for typeguard-1.1.3.tar.gz
Algorithm Hash digest
SHA256 48780dc7ea4df786de01d77c193b444365c4f04aabcad9e1c378364bbd7f7661
MD5 2a2d8c7685f7a4be4aa1dfb25c3c2932
BLAKE2b-256 5a2a1e810cf49e73f247e1a9e83d70a9ae27c11ca471ee4581f303d66836203e

See more details on using hashes here.

File details

Details for the file typeguard-1.1.3-py3-none-any.whl.

File metadata

File hashes

Hashes for typeguard-1.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 7066db3cedc6a5b0a52c483ca67eb1bacb2e8a8d9f9599b331231199bc3d55e0
MD5 86f61d72ed884af6facb9ef66ef8d008
BLAKE2b-256 d691f5d5683a53375b8d83e8d72e25054a4fe1ce81113696995144cc663789a0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page