Checklist

• [X ] Are you running the latest v2 release? The list of releases is here.
• [X ] Did you check the manual for your release? The v2 manual is here
• [ X] Did you perform a search about this feature? Here's the [Github guide](https://help.github.com/en/github/managing-your-wor

We've not tested installation guide for Linux very well, and we have found some issues (e.g., hajimehoshi/ebiten#1146).

To solve this, we can have Docker files for various distributions, and test them regularly.

APIs working with offsets, like CommitOffsets , StoreOffsets, does not specify what offset means. I recently found out offset means next offset to consume, not last offset just processed.

I think it's a common trap that many users fall into, some examples are:

• confluentinc/confluent-kafka-go#286
• confluentinc/confluent-kafka-go#195

The link to Django version compatibility 1.7 in the README's Development status section is broken, it looks like this version is not supported anymore: https://docs.djangoproject.com/en/1.7/ref/templates/builtins/

I suggest to either include a reference of actually implemented filters in your project's documentation, or ensure support for Django 1.8 or higher so you can link to their document

At present we can run the load generator for a set amount of time or a certain number of requests.
I would like to a mode --reconnetRequests=1000 where fortio client will reconnect after 1000 requests.

Use case: We are testing SDS cert rotation using an https fortio client (std client).
For cert rotation to be exercised fortio should reconnect periodically to fetch the new cert.
In

DM API has changed on september, 17th : https://developer.twitter.com/en/docs/direct-messages/sending-and-receiving/guides/direct-message-migration
is there any work in progress to change anaconda soon ?

I think ghw has become sufficiently feature-rich to warrant a real docs solution other than the README.md page. I'm thinking of using Docsy for this.

See https://github.com/mailgun/gubernator/blob/master/architecture.md#side-effects-of-global-behavior

It states: Using GLOBAL can increase the amount of traffic per rate limit request if the cluster is large enough

I assume that with 'the cluster' you mean the cluster of gubernator instances.

Can you give a more detailed indication what you mean with '_large'? Are we talking about te

A potentially useful feature for the included CLI (and library) could be converting DICOMs (frames + metadata) into neat tf.Example protocol buffers for downstream use in Tensorflow.

This operations will be used to drop elements in the steam on the right of the given element

var elements = []int{10,12,7,41,5,6}
res:=koazee.StreamOf(elements).DropRight(12).Out().Val()
fmt.Println(res)

// [10,12]