Thanks for maintaining Celery!

I had a hard time getting my CELERY_BROKER_URL to work, and finally realized I had entered an invalid password. This has also been addressed here in the Google group.

The password I had entered was `#qahrKscbW#3!HkMJg#jFcyaOR7HtK%j08

From https://chat.zulip.org/#narrow/stream/137-feedback/topic/editing.20highlights/near/807040, "The green color over the gray color of the letters to show the new inserted text in the message editing is great to be read, however it is very difficult to read the text with the pink color that shows the erased one."'.

I'm pretty sure we never spent time on those colors, so I'm sure they could b

In the readme.md file , when I click on the Demo link, a message pops up saying that it is not a secure connection and that criminals might steal information. Anyone else have this issue ?

Is your feature request related to a problem

A docs problem, yes 😛

I want to use HTTPS for my API. The docs suggest to use a Docker Swarm with Traefik and Let's Encrypt. I can't (it's for work). We use a Kubernetes cluster and our own SSL certificates. Then there is a link to the FastAPI project generator, but there are a lot of files in there. I'm not sure to even understand which of

Hi

I got module not found error when deploying, I specify the function to use layers
{ "version": "2.0", "app_name": "myapp", "stages": { "dev": { "api_gateway_stage": "api", "manage_iam_role": false, "iam_role_arn": "arn", "lambda_functions": { "myfunc": { "layers": ["layer1", "layer2"] } } } }, }

I di

If split is not "full" (ie: I only want to use training or validation or test data to run a test, for example) and I don't have a .hdf5 file, data is loaded anyway, but without honoring the split request.

Reference: https://github.com/uber/ludwig/blob/master/ludwig/data/preprocessing.py#L804-L840

Unable to call .documentation() on a hug.local() interface because the doc OrderedDict is not initialized.

~/.pyenv/versions/3.8.0/lib/python3.8/site-packages/hug/interface.py in documentation(self, add_to)
    316                 for requirement in self.requires
    317             ]
--> 318         doc["outputs"] = OrderedDict()
    319         doc["outputs"]["format"] = _doc

We are currently running part of the CPython test suite. This is a good place for people new to the project to contribute. Contribution here can come in two ways:

• Fix failing test - Look for tests marked as skipped or xfail and fix RustPython so that the test will pass.
• Add more tests suites - Copy test suite from CPython and mark failing tests with xfail or skip.

In order to run the te

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

easy to reproduce with this snippet. Change to your filepath obviously:

import jedi  # 0.15.1

DOC = """
class B:
    def __init__(self):
        self.z = 5
"""
DOC_URI = "file:///home/m-panarin/Desktop/test_files/reproduce_jedi/file.py"


if __name__ == '__main__':
    # will contain 4 definitions: class B, def __init__, self, z
    all_names = jedi.api.names(
        sou

Hi,

Thank you for the time and effort you are putting in to Troposphere. I really appreciate it!

I'm trying to use Troposphere to create an API gateway via Serverless with a ResourcePolicy.

from troposphere import Template, serverless

template = Template()
template.set_transform('AWS::Serverles

System Details:

• Operating System: Windows 10 v1903 Pro x64

• Distro(For GNU/Linux and BSD users): N/A

• Desktop Environment(For GNU/Linux and BSD users): N/A

• Persepolis Version: 3.1.0

• How do you install Persepolis? From Github .exe installer

• Please attach log files if crash or paste error message: N/A

Issue Description and steps to reproduce:

The Enter Your Link

Parsing token 'x' according to documentation it should parse to microseconds timestamp but it parses to milliseconds timestamp. Not sure what was intended here but there is a discrepancy.
code:
_TOKENS = ( ... "x": lambda dt: "{:d}".format(dt.int_timestamp * 1000 + dt.microsecond // 1000)

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

Describe the bug
make assets-build failed w=while making from source

To Reproduce
Steps to reproduce the behavior:
follow the install from source steps and at make assets-build it failed

Expected behavior
successful build
Screenshots
If applicable, add screenshots to help explain your problem.

Desktop (please complete the following information):

• OS: Ubuntu 18