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

We've had some issues with inconsistencies between in the dictionary format for get_raw_user_data and get_cross_realm_dicts, including in 630aadb7e077a857bb3940a404dacc8b1740f6a5.

We should make that category of error impossible. I see a few paths forward:

• Deduplicating the code by having get_cross_realm_dicts call a part of get_raw_user_data as a subroutine. (Maybe via extractin

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 it possible to modify it to work on text +hocr (overlayed on it)

So basically replacing image by image+hocr combo.

And then it can be used to annotate text document without having someone to type things after making box. As watever text comes inside box becomes the value for the key.

So at the end we have
Key, Value, Box-cordinates.
example: DATE, 28-May-2018, (x1,y1,x2,y2)
I will

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

在尝试写成语接龙程序中发现的拼音标注错误：

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

I have this method:

@hug.get('/documents/list')
def llista():
    """Returns whole list of documents"""
    docs = [lib.Doc(doc).HeaderstoJSON for doc in glob.iglob('./*.md')]
    return {'documents': docs}

and http://localhost:8000 returns me:

"documentation": {
        "handlers": {
            "/documents/list": {
                "GET": {
                    "usa

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

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.

Description:
A QueuedTimeoutInMinutes parameter should be added to the CodeBuild Project Class. QueuedTimeoutInMinutes specifies the number of minutes a build is allowed to be queued before it times out. It is similar to TimeoutInMinutes but is for queued builds.

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-codebuild-project.html#cfn-codebuild-project-queued

System Details:

• Operating System: MacOS
• Persepolis Version: 3.1
• How do you install Persepolis? DMG
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>>> 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

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

Right now it only prints a message on finishing. Would be nice to have some progress indication as it can take a while even for the simplest of apps (actually I tried it with your excellent Qt for Python tutorial's chat application (BTW big thx for that, I'm still surprised how sparse the available resources to teach oneself PySide2 are))