Here is what docs say:

• CELERYD_PID_FILE — Full path to the PID file. Default is /var/run/celery/%n.pid
• CELERYD_LOG_FILE — Full path to the worker log file. Default is /var/log/celery/%n%I.log Note: Using %I is important when using the prefork pool as having multiple processes share the same log file will lead

Is your feature request related to a problem

Is your feature request related to a problem?

It's still not documented how to do redirections.

The solution you would like

We need a short section in the docs, in the Advanced User Guide, about how to do redirections.

It would have to explain how to use [Starlette's RedirectResponse](https://www.starlette.io/responses/#redirect

It looks like the payload format for the webhook notifications has changed. The old format described here is expected by the webhook code. The test fixtures also have payloads that look very similar to what has been described here.

The new payload format is documented [here](https://docs.semaphoreci.com/essentials/webhook-notificatio

The diagram in documentation suggest yes, but num_fc_layers and fc_layers are not listed as available parameters as they are for e.g., parallel cnn or stacked cnn.

It does not seem like it is supported based on a few experiments however I am using the RNN encoder inside a sequence combiner, so possibly this is causing problems.

for example, this does not seem to add any fc_layers:

co

@kyleknap was showing some cool chalice demos at the oscon booth, it would be nice to have those linked from the chalice project docs and/or readme.

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.

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

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.

The following schedule expressions should pass validation (taken from AWS docs) but they raise errors upon validation with event_schedule_expression:

cron(15 10 ? * 6L 2002-2005)
cron(*/7 5-10 5 * *)
cron(5,35 14 * * ? *)
cron(0 18 ? * MON-FRI *)
cron(0/15 * * * ? *)
cron(0/10 * ? * MON-

System Details:

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

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

In: https://github.com/mherrmann/fbs/blob/master/fbs/_defaults/src/installer/windows/Installer.nsi
RMDir should not have the /r flag on the uninstaller.
As per documentation (https://nsis.sourceforge.io/Reference/RMDir) this runs the risk of the user involuntarily choosing an installation directory containing other data and wiping it upon uninstallation.

I've had one report from one user inst