Python

Current implementation of Go binding can not specify options.

GPUOptions struct is in internal package. And go generate doesn't work for protobuf directory. So we can't specify GPUOptions for NewSession.

🚀 Feature

Add drop_remainder: bool = True support to torch.chunk and torch.split

• similar in function to drop_last in torch.utils.data.DataLoader
• If the length of the dimension is not perfectly divisible, drop the remaining elements from the returned arrays.

Add redistribute: bool = True support to torch.chunk and torch.split

• Spread the elements evenly across the c

We should be using pkg_resources (or importlib.resources if our min Python version is 3.7) instead of uses of __file__.

$ get grep '__file__' sklearn/
sklearn/__check_build/__init__.py:    local_dir = os.path.split(__file__)[0]
sklearn/datasets/_base.py:    module_path = dirname(__file__)
sklearn/datasets/_base.py:    module_path = dirname(__file__)
sklearn/datasets/_base.py:    

Quick one - if, for instance, you're running the the scrapy test suite in some sort of CI setup where builds get performed by random different dedicated "build users", you'll end up in a situation where /tmp/foobar already exists, owned by a different user. At which point FileFeedStoragePreFeedOptionsTest will fail:

E       PermissionError: [Errno 13] Permission denied: '/tmp/foobar'

Screenshot

Description

chart 3 dot menu is behind the chart title panel in chart maximize mode

Hello everyone, I will explain the current status of manim in this issue.

Now there are three main manim versions, and their differences:

1. The master branch of 3b1b/manim: Rendering on GPU using OpenGL and moderngl. Support interaction and have higher efficiency.
2. ManimCommunity/manim: (@ManimCommunity

First check

• I added a very descriptive title to this issue.
• 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.
• I already read and followed all the tutorial in the docs and didn't find an answ

We've got two versions of our logo, one for light backgrounds, and another one for dark backgrounds: https://pandas.pydata.org/about/citing.html#brand-and-logo.

Modern browsers usually support a dark mode, and when users have it activated, our favicon (our logo for light backgrounds) doesn't look really nice:

![Screenshot at 2021-06-29 13-18-05](https://user-images.githubusercontent.com/1005