githug | practical way of learning git

Is it possible to style the aesthetics of a tooltip box with bsTooltip in shiny? I have scoured SO for answers, but with respect to tooltips, all of the adjustments on aesthetics appear to be for widths only (ie this question). Consider the MWE from the shinyBS Githug Pages document, including only the bsTooltip portion and some modified CSS:

I am building currently my web-page on Github (Githug Page), and I am having some troubles with the top-nav menu. As you can see, when you scroll down, the menu disappears, and when you scroll up, it appears again. Nevertheless, I would like to make the behaviour much more simpler, and that is, to make it fixed with respect the header. In other words, I just want the menu to appear on top of the page, like another element more. I do not want the menu to follow the scrolling. Looks simple but I do not end up getting the result.

This is my current main.js.

To build a python project managed with poetry I need to build C extensions first (an equivalent to python setup.py build). poetry is able to do this according to this githug issue. But to me it's not clear what to include into pyproject.toml that the C extension build is executed when building with poetry build?

While I was playing githug game task #20: commit_in_future. It requires the user to make a commit in the future.

I know that --date option from git commit --date supports relative date. But the following future relative date formats don't work for me.

I would like to add a badge that counts the total number of downloads that happen for one of my projects that I have on GitHub. I came across this page that has all the image shields

https://shields.io/


Any ideas on how I could add this to my project in GitHub?

I cloned tensorflow object detection model on githug: github link
And I want to train this model with my own data (331 samoyed dog's images) following by this blog tutorial click here

My steps:

1. Created PASCAL VOC format dataset;
2. download retrained model(ssd_mobilenet_v1_coco_11_06_2017.tar.gz)
3. change the config file(ssd_mobilenet_v1_pets.config)
4. initial the training process by this codes:

   python object_detection/train.py \ --logtostderr \ --pipeline_config_path=./samoyed_test_and_train/training/ssd_mobilenet_v1_pets.config \ --train_dir=./samoyed_test_and_train/data/train.record

but I receive errors, my os is MacOS,and I tried on AWS,same problem occurs, can you figured out my mistakes ?errors: