ValidateQuantities

class plasmapy.utils.decorators.validators.ValidateQuantities(validations_on_return=None, **validations: dict[str, Any])[source]

Bases: CheckUnits, CheckValues

A decorator class to ‘validate’ – control and convert – the units and values of input and return arguments to a function or method. Arguments are expected to be astropy Quantity objects.

Parameters:

validations_on_return (dictionary of validation specifications) – Specifications for unit and value validations on the return of the function being wrapped. (see quantity validations for valid specifications.

**validations (dictionary of validation specifications) –

Specifications for unit and value validations on the input arguments of the function being wrapped. Each keyword argument in validations is the name of a function argument to be validated and the keyword value contains the unit and value validation specifications.

Unit and value validations can be defined by passing one of the astropy units, a list of astropy units, or a dictionary containing the keys defined below. Units can also be defined with function annotations, but must be consistent with decorator **validations arguments if used concurrently. If a key is omitted, then the default value will be assumed.

Key	Type	Description
units		list of desired astropy `units`
equivalencies		[DEFAULT `None`] A list of equivalent pairs to try if the units are not directly convertible. (see `equivalencies`, and/or astropy equivalencies)
pass_equivalent_units	`bool`	[DEFAULT `False`] allow equivalent units to pass
can_be_negative	`bool`	[DEFAULT `True`] values can be negative
can_be_complex	`bool`	[DEFAULT `False`] values can be complex numbers
can_be_inf	`bool`	[DEFAULT `True`] values can be `inf`
can_be_nan	`bool`	[DEFAULT `True`] values can be `nan`
none_shall_pass	`bool`	[DEFAULT `False`] values can be a python `None`
can_be_zero	`bool`	[DEFAULT `True`] values can be zero

Notes

Validation of function arguments *args and **kwargs is not supported.
None values will pass when None is included in the list of specified units, is set as a default value for the function argument, or none_shall_pass is set to True. If none_shall_pass is doubly/triply defined through the mentioned options, then they all must be consistent with each other.
If units are not specified in validations, then the decorator will attempt to identify desired units by examining the function annotations.

Examples

Define unit and value validations with decorator parameters:

import astropy.units as u
from plasmapy.utils.decorators import ValidateQuantities

@ValidateQuantities(
    mass={"units": u.g, "can_be_negative": False},
    vel=u.cm / u.s,
    validations_on_return=[u.g * u.cm / u.s, u.kg * u.m / u.s],
)
def foo(mass, vel):
    return mass * vel


# on a method
class Foo:
    @ValidateQuantities(
        mass={"units": u.g, "can_be_negative": False},
        vel=u.cm / u.s,
        validations_on_return=[u.g * u.cm / u.s, u.kg * u.m / u.s],
    )
    def bar(self, mass, vel):
        return mass * vel

Define units with function annotations:

@ValidateQuantities(mass={"can_be_negative": False})
def foo(mass: u.g, vel: u.cm / u.s) -> u.g * u.cm / u.s:
    return mass * vel


# on a method
class Foo:
    @ValidateQuantities(mass={"can_be_negative": False})
    def bar(self, mass: u.g, vel: u.cm / u.s) -> u.g * u.cm / u.s:
        return mass * vel

Allow None values to pass:

@ValidateQuantities(checks_on_return=[u.cm, None])
def foo(arg1: u.cm = None):
    return arg1

Allow return values to have equivalent units:

@ValidateQuantities(
    arg1={"units": u.cm},
    checks_on_return={"units": u.km, "pass_equivalent_units": True},
)
def foo(arg1):
    return arg1

Allow equivalent units to pass with specified equivalencies:

@ValidateQuantities(
    arg1={
        "units": u.K,
        "equivalencies": u.temperature(),
        "pass_equivalent_units": True,
    }
)
def foo(arg1):
    return arg1

Attributes Summary

`checks`	Requested checks on the decorated function's input arguments and/or return.
`validations`	Requested validations on the decorated function's input arguments and return variable.

Methods Summary

__call__(f)

Decorate a function.

Attributes Documentation

checks: Requested checks on the decorated function’s input arguments and/or return.

validations: Requested validations on the decorated function’s input arguments and return variable.

Methods Documentation

__call__(f)[source]

Decorate a function.

Parameters:: f – Function to be wrapped
Returns:: wrapped function of f
Return type:: function