Checklist

• I have checked the issues list
  for simi

Steps to reproduce:

1. Reduce the width of browser to a certain extent.
2. Open settings page by clicking on gear icon on top right.
3. The first setting in the menu opens directly,
   Your Account opens for user settings while Organization Profile opens for organization settings.

![Peek 2020-01-25 00-31](https://user-images.githubusercontent.com/35494118/73124662-c422a980-3fc3-11ea-8d87-

Currently --quiet and --verbose are opposites, where --quiet is the default option.

Given the number of websites covered by Sherlock, should --quiet be altered so that it is not the opposite of verbose but an option that displays only websites where the username has been found?

This way no options remains as it is, -v as it is, and -q as described above.

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

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

Creating a trigger with

@app.on_s3_event(bucket=S3_BUCKET, events=['s3:ObjectCreated:*'], prefix='uploads/*', suffix='.txt')

generates a trigger in a Lambda which does not work. in particular, the problem should be related to the Notification, since from time to time chalice deploy would generate a `PutBucketNotificationConfiguration operation: Unable to validate the following destinati

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

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

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.

please change SQL-1.0 to SQL-1_0.

Base on this official document https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-application.html#cfn-kinesisanalyticsv2-application-runtimeenvironment, it should be SQL-1_0

To fix it, you can just change this code https://github.com/cloudtools/troposphere/blob/master/troposphere/kinesisanalyticsv2.py#L10

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)

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