Abhinav Kaushlya

Results 13 issues of Abhinav Kaushlya

In reference to https://github.com/asdf-vm/asdf/issues/450 and https://github.com/asdf-vm/asdf/pull/451 I have been preparing appveyor CI to run tests. Using cygwin bash most of the tests pass. I need some help in debugging the...

enhancement

From [build](https://travis-ci.com/github/coala/coAST/builds/226175353): ``` Traceback (most recent call last): File "", line 1, in File "/tmp/pip-build-vc8rcv98/coala/setup.py", line 17, in from coalib.misc.BuildManPage import BuildManPage File "/tmp/pip-build-vc8rcv98/coala/coalib/misc/BuildManPage.py", line 73 sections = {'see also':...

The [`ASCIINEMA_URL`](https://asciinema.org/a/e146c9739ojhr8396wedsvf0d) in [GitCommitBear](https://github.com/coala/coala-bears/blob/master/bears/vcs/git/GitCommitBear.py#L12) seems to be no longer working. difficulty/newcomer

difficulty/newcomer
area/documentation

jsonschema has [dropped support for Python3.4](https://github.com/Julian/jsonschema/commit/2387d08e05bdd9d3a65a01eb9d0c97be8c43a6bd) as reported on [gitter](https://gitter.im/coala/coala?at=5c7d1667e1446a6ebe7e3baa) by @bkhanale. The failure is [here](https://travis-ci.org/coala/coala-bears/jobs/502070559#L3448).

type/bug

[rawgit](https://rawgit.com/) is shutting down and bears are throwing errors like [these](https://travis-ci.org/coala/projects/jobs/576470295#L700).

difficulty/newcomer

Google recently announced new open-source program, [Google Season of Docs (GSoD)](https://opensource.googleblog.com/2019/03/introducing-season-of-docs.html) which is similar to current GSoC but its just all about documentation. Even though coala at its current state...

Project Proposal

This project focuses on improving coala support for some of the latest python versions. Currently, coala only supports python version 3.6 which is too old at the moment. Improving the...

Project Proposal

This issue is a part of [Google Code-in 2019 task](https://codein.withgoogle.com/dashboard/task-instances/5933648059039744/). As a part of the task I'm reporting my findings on running the pre-trained SentimentAnalyzer with the [Amazon review dataset](https://www.kaggle.com/bittlingmayer/amazonreviews)...

This updates the Dockerfile to use Julia 1.3.0. Also some changes are made to the mux_server.jl

In the following code: ``` json_users = self._backend.readAPIRequest('rooms/%s/users' % self._idd) ``` The limit parameter is not passed which defaults to 30. Hence every time it will only return a list...