When using django-celery-results with the CELERY_RESULT_BACKEND = 'django-cache' setting, it is possible to use the CELERY_CACHE_BACKENDto specify a Django cache other than default.

Fix 5301 amended the docs for django-celery-results but the [Configuration ](http://docs.celeryproject.org/en/v4.2.0/userguide/configuration.html#std:setting-cac

Is your feature request related to a problem

Coming from this issue: tiangolo/fastapi#817

The docs have some sections with functions using *, in the parameters.

It is explained here: https://fastapi.tiangolo.com/tutorial/path-params-numeric-validations/#order-the-parameters-as-you-need-tricks

But in other sections like: https://fastapi.tiangolo.com/tutor

When GitLab system hook for project push events is configured for Zulip, the following 500 Internal Server Error is thrown by Zulip:

2020-02-19 10:32:44.753 ERR  [] Traceback (most recent call last):
  File "/srv/zulip-venv-cache/546c5f60162d0b5be09d52adebaa995f9c609da3/zulip-py3-venv/lib/python3.6/site-packages/django/core/handlers/base.py", line 185, in _get_response
    response = wrapp

Hello!

I have updated to the new chalice release 1.11.0. I have seen that there are two tickets related with my request:
aws/chalice#976
aws/chalice#897

I would like to handle both lambda and API gateway Resource policy in the same file.

When I ran the

chalice deploy --no-autogen-policy

I bumped in:
**chalice.deploy.deployer

Is your feature request related to a problem? Please describe.
Other related issues: #408 #251
I trained a Chinese model for spaCy, linked it to [spacy's package folder]/data/zh (using spacy link) and want to use that for ludwig. However, when I tried to set the config for ludwig, I received an error, which tell me that there is no way to load the Chinese model.

ValueError: Key ch

There is some code in Corefile that attempts to validate that the stack is potentially valid, by checking the very end of the stack for \x00 bytes.

When running a native i386 kernel, there may only be 4 bytes instead of the expected 8 bytes. We should probably check for self.bytes bytes at the end of the stack, instead of the hard-coded 8 bytes.

https://github.com/Gallopsled/pwntools/

Noticing on the quick start guide, for the happy_birthday.py example, the localhost:8000/documentation route appears to be broken (returning 404).

Perhaps I'm doing something wrong, but if not, we should fix the bug and/or the documentation. And maybe consider an integration test as part of our test suite to prevent a future regression.

Summary

Detailed Explanation

Drawbacks, Rationale, and Alternatives

Unresolved Questions

Project "Hinty" aims at adding Type hints to Scapy. It will help discover bugs, improve the API, and make Scapy up-to-date with the high standards of Python libraries.

Implementation

We use mypy to ensure automatic testing of the work that has already been completed. PRs that fall under project Hinty will process one (or a few) files and register them into the checks. The file

A more consistent and multi-functional global level of verbosity control,
suggest an enhancement that will see print(...) in project be converted to using the python logging. module

import logging
#Then instead of print() use either
logging.info(......)
#or
logging.debug(.....)
#or
logging.warning(....)
#or
#logging.error()

In that way verbosity can be globally

For a lot of things (especially usages) jedi's completely lazy approach is not good enough. It is probably better to use a database index cache. The index will basically be a graph that saves all the type inference findings.

This is just an issue for discussion and collection of possible ideas.

System Details:

• Operating System: MacOS
• Persepolis Version: 3.1
• How do you install Persepolis? DMG
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template.add_description("blah ...")

s3bucket = template.add_resource(Bucket(
    "S3Bucket",
    
    BucketName="my-test-bucket",

    # Attach a LifeCycle Configuration

    LifecycleConfiguration=LifecycleConfiguration(Rules=[
        # Add a rule to
        LifecycleRule(
            # Rule attributes
            Id="S3BucketRuleFor90d

>>> dt = pendulum.parse("2017-09-01 00:00:00+00:00")
>>> dt
DateTime(2017, 9, 1, 0, 0, 0, tzinfo=Timezone('+00:00'))
>>> dt.format('%Y-%m-%dT%H:%M:%S.%fZ', formatter='classic')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: format() got an unexpected keyword argument 'formatter'

Per sdispater/pendulum#255 it is men

The most great and simple examples in README are images and blind programmers cant see this examples.

Why not use ``` tags to describe it?

How can i implement callback parameter in fit moder Autoencoder ?
There is not parameter.

from keras.callbacks.callbacks import EarlyStopping
cb_earlystop = EarlyStopping(monitor='val_loss', min_delta=0, patience=0, verbose=0,
mode='auto', baseline=None, restore_best_weights=False)
pyod_model.fit(scaler, callbacks=[cb_earlystop])

TypeError: fi