Checklist

• I have checked the issues list
  for similar or identical bug reports.
• I have checked the pull requests list
  for existing proposed fixes.
• I have checked the

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 ?

First check

• I used the GitHub search to find a similar issue and didn't find it.
• I searched the FastAPI documentation, with the integrated search.
• I already searched in Google "How to X in FastAPI" and didn't find any information.

Description

What I mean by api developer docs are basically something like sphinx docs for function definitions. This is usually gen

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

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

code:

import jedi

script = jedi.Script('''from tkinter import Tk
root = Tk()
root.geometr''')

for c in script.completions():
    print(c.goto())

output:

[<Definition full_name='tkinter.Wm.geometry', description='geometry = wm_geometry'>]

Should be get wm_geometry definition?

And jedi\api\classes.py, jedi\api\__init__.py _goto function param should be consi

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

Currently, there is only one toolbar button to add a single link (from clipboard).
If the clipboard has multiple links, this same button should be overloaded to download them all.

Further, there should be another button to create a batch download ( refer to #615).

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