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Found 1 instance in 1 package
This project provides a Fake
class that can be used to replace any object in a test, in development environment or in any other situation where you need to replace an object with a fake one.
The tries to provide a mock implementation for any usage, including properties, items, length, iterator, return value, await value, etc so that it never fails in runtime due to a missing implementation.
On the other hand, sometimes other pieces of code expect a certain implementation and the default implementation of the Fake
class is not enough. In this case, you can use the __Fake_...
parameters in the constructor to provide a more specific implementation.
At the moment, it doesn't provide tools for monitoring how the object was used, but it is planned to be implemented in the future.
Fakeing the picamera2
module of Raspberry Pi so that one can run the code on a non-Raspberry Pi development environment:
from fake import Fake
sys.modules['picamera2'] = Fake(
_Fake__props={
'Picamera2': Fake(
_Fake__return_value=Fake(
_Fake__props={
'capture_array': Fake(
_Fake__return_value=np.zeros((1, 1, 3), dtype=np.uint8),
),
},
),
),
},
)
A Fake
object can be created with the following parameters:
_Fake__props
: A dictionary that contains the properties of the object and their respective values._Fake__items
: A dictionary that contains the items of the object and their respective values._Fake__list
: A list that contains the items of the object. (in case the index is a number and not listed in the __items
dictionary). It also sets the length of the object if _Fake__length
is not set._Fake__return_value
: The return value of the object when it is called._Fake__await_value
: The return value of the object when it is awaited._Fake__length
: The length of the object when it is queried via the len
function._Fake__iter
: The iterator of the object when it is queried via the iter
function.pip install python-fake
poetry add python-fake
FAQs
A general purpose mock library for Python
We found that python-fake demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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