decorating | decorating : Literally decorating your terminal | Architecture library
kandi X-RAY | decorating Summary
kandi X-RAY | decorating Summary
Decorating: A Meta Repo To Decorators.
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Top functions reviewed by kandi - BETA
- Stop the animation
- Stop the animation thread
- Stops sys stdout
- Remove the last message from the queue
- Send a spinner
- Colorize a string
- Erases cursor
- Write a message to the stream
- Write a message to the animation
decorating Key Features
decorating Examples and Code Snippets
Lines of Code : 27License : Strong Copyleft (CC BY-SA 4.0)
Copy#!/usr/bin/python3
Fname = "Herp"
Lname = "McDerp"
while True:
print( Fname, " ", Lname, ", would you like to be a volunteer? [Y] [N]")
VOLUNTEERyn = input()
if VOLUNTEERyn == "Y":
while True:
print("Whereprint(f'ran before {or_func.__name__} function')
def displayy(id, id2):
print(f'display is running with the id {id} and {id2}')
@logger
def summator(numlist):
return sum(numlist)
def summator(numlist):
return sum(numlist)
summator = logger(summator)
def logger(func):
def wrapped(lst): # <------def retry_with_backoff(retries=5, backoff_in_ms=100):
def wrapper(f):
@functools.wraps(f)
async def wrapped(*args, **kwargs):
x = 0
while True:
try:
return awa #color the word "CommandGeek" green
# locate the word
# surround it with ANSI-color code
#Color entire the message green if "CommandGeek:" is in it.
# locate the word
# surround the entire message with ANdef sort_together_heapsort(a, b, c):
n = len(a)
def swap(i, j):
a[i], a[j] = a[j], a[i]
b[i], b[j] = b[j], b[i]
c[i], c[j] = c[j], c[i]
def siftdown(i):
while (kid := 2*i+1) < n:
idef foo(cls):
pass
foo = synchronized(lock)(foo)
foo = classmethod(foo)
@classmethod
@synchronized(lock)
def foo(cls):
pass
class PrintLog(object):
def __init__(self, function):
self.function = function
def __call__(self):
@wraps(self.function)
def wrapped(*args):
print('I am a log')
return self.function@pytest.fixture(autouse=True)
def skip_if_no_password():
if 'password' in os.environ:
yield
else:
pytest.skip('Environment variable "password" not set.')
@timer_func
def fibonacci(x: int):
return _fibonacci(x)
def _fibonacci(x: int):
if x > 2:
return _fibonacci(x - 1) + _fibonacci(x - 2)
elif x == 1 or x == 2:
return 1
Community Discussions
Trending Discussions on decorating
QUESTION
Hi I'm currently creating a website for someone and my boss noticed that when the phone is flipped horizontally for example on a Iphone X, my images that are responsive the text in the middle is shifted up and you cannot read it. It's hard to explain in words so I have 2 pictures, one with what I'm getting and one with what I'm kind of looking for, I've been on this for a little while now.
What I'm getting:
What I'm looking for:
This is my code:
HTML
...ANSWER
Answered 2021-May-22 at 19:09maybe this?....
i removed the following as shown by commented out.
QUESTION
I have an ASP.NET Core controller with few methods requiring specific data to be passed in header. To be clear the data is JWT-token containing some session info. To retrieve the information stored in the token I need to perform few actions:
- check header exists (if not return bad request)
- decode jwt-token to json string
- map json string to a model instance
At the moment I perform all that steps in controller methods but that's bad practice since that is code duplication. I was thinking about some elegant solution like creating an custom attribute and decorating methods with it. But I couldn't find a way to pass data from attribute to controller action. It seems to me that attributes are designed for another type of tasks.
What is optimal solution for that is ASP.NET Core?
...ANSWER
Answered 2021-May-21 at 12:12You can create a TypeFilterAttribute and decorate your controller/actions with this. Inside the TypeFilterAttribute you can do your logic with the headers and add the result inside the HttpContext, which can then be retrieve in the controller.
QUESTION
I would like to change my Startup class to scan the system for all the classes that implement an interface and then register them automatically. I'm using Scrutor just to make life easier.
Normally, this is simple to achieve with code similar to this:
...ANSWER
Answered 2021-May-19 at 16:23You can use reguto library to register all appsettings auto.
Usage:
QUESTION
I am using decorators on top of classes to register components. Here is my code
...ANSWER
Answered 2021-May-17 at 22:43I studied @dataclass implementation and found the correct way. Unlike what's said in docs and guides elsewhere, Class decorator implementation is slightly different than function decorator -- we don't need to receive args and call it.
Here is the one that works:
QUESTION
from datetime import datetime
import time
def decorating_func(own_func):
print(datetime.now().strftime('%Y-%m-%d %H:%M:%S'))
return own_func
@decorating_func
def addition(num1,num2):
return num1 + num2
@decorating_func
def multiply(num1,num2):
return num1 * num2
print(addition(10,5))
time.sleep(71)
print(multiply(10,5))
ANSWER
Answered 2021-May-15 at 19:56For a decorator, you need a wrapper function inside, take a look at my code. I recommend this video to learn decorators: https://www.youtube.com/watch?v=r7Dtus7N4pI.
Code:
QUESTION
Previously in another post (Keras multioutput custom loss with intermediate layers output) I discussed the problem I was having. Finally, this problem was fixed in this way:
...ANSWER
Answered 2021-May-11 at 11:04I was able to reproduce your above errors in TF 2.3. But in TF 2.4 and nightly TF 2.6, there was no such issue, but when I tried to plot the model I got another error, though no issue with the model. summary() and also training with .fit. However, if the eager mode is disabled, then there wouldn't be an issue with TF 2.3 / 2.4.
In TF 2.3, I can reproduce your issue same shown below. To resolve this, just disable the eager mode showed above.
In TF 2.4 / TF Nightly 2.6, I didn't need to disable the eager mode. The model was compiled fine and train as expected. But the only issue occurs when I tried to plot the model, it gave the following error
QUESTION
I am decorating a function using the functools.lru_cache decorator to avoid repeated executions when the inputs do not change.
The arguments of the function I'm decorating, however, are floats. In addition to this, I know that the output of the function is not too sensitive to small changes in the inputs so that, for the sake of execution speed, I'd like to sacrifice a little bit of precision if this can reduce the number of execution. I would therefore add a tollerance to my lru_cache.
Consider the following example:
...ANSWER
Answered 2021-Apr-22 at 09:24A possible solution is to store a list of past calls in the wrapper and check against them before actually performing the rounding.
For example
QUESTION
Need some help to implement/understand how decorators as a class work in Python. Most examples I've found are either decorating a class, but implementend as a function, or implemented as a class, but decorating a function. My goal is to create decorators implemented as classes and decorate classes.
To be more specific, I want to create a @Logger decorator and use it in some of my classes. What this decorator would do is simply inject a self.logger attribute in the class, so everytime I decorate a class with @Logger I'll be able to self.logger.debug() in its methods.
Some initial questions:
- What does the decorator's
__init__receive as parameters? I it would receive only the decorated class and some eventual decorator parameters, and that's actually what happens for most of the cases, but please take a look at the output below for theDOMElementFeatureExtractor. Why does it received all those parameters? - What about the
__call__method? What will it receive? - How can I provide a parameter for the decorator (
@Logger(x='y'))? Will it be passed to the__init__method? - Should I really be returning an instance of the class in the
__call__method? (only way I could make it work) - What about chaining decorators? How would that work if the previous decorator already returned an instance of the class? What should I fix in the example below in order to be able to
@Logger @Counter MyClass:?
Please take a look at this example code. I've created some dummy examples, but in the end you can see some code from my real project.
You can find the output at the end.
Any help to understand Python classes decorators implemented as a class would be much appreciated.
Thank you
...ANSWER
Answered 2021-Apr-22 at 04:05Won't be a full answer, but I think it's helpful to review the basics of a decorator. This is what decorating looks like:
QUESTION
I'd like to have a decorator that, among other stuff, adds a mixin to the class it's decorating. (I recognize that this may be a Really Bad Idea but bear with me.) The following almost works:
...ANSWER
Answered 2021-Apr-15 at 17:28Edit: The question was edited to mention this approach while I was writing the answer.
You can do:
QUESTION
I want to make a function decorator and measure async's function execution time, and return resolve or reject results as indented without decorating. Any clue how to achieve this? Most guides are about sync functions and are not touching the async world.
This is an example to illustrate the desired functionality
...ANSWER
Answered 2021-Apr-15 at 13:24Something like this should do the trick:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install decorating
You can use decorating 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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