recognizer.train(x_train, np.array(y_labels))
cv2.error: OpenCV(4.0.1) C:\projects\opencv-python\opencv_contrib\modules\face\src\lbph_faces.cpp:362: error: (-210:Unsupported format or combination of formats) Empty training data was given. You'll need more than one sample to learn a model. in function 'cv::face::LBPH::train'

How can I fix it?

It would be great if you could try out using https://www.sympy.org/sphinx-math-dollar/ instead of https://github.com/certik/theoretical-physics/blob/master/exts/math_dollar.py, and let me know if you have an issues with it. You'll have to inspect the math manually to make sure it doesn't do anything wrong, although you can also build with MATH_DOLLAR_DEBUG=1, which will print messages about any

I noticed when making requests for Player information some of the NFL kickers seem to have a different format for their URI. A lot of current kickers follow the standard 8 character 'LlllFfNN' format. But some have a 10 character string.

In this example Mason Crosby this works fine and returns 'Field Goals - 30':

thisplayer = Player('CrosMa20') 
theyear = '2018'
print('Fie

We could have a tool similar to Godot's doctool, that gives a table with the docs progress and missing docstrings.

We can add methods on Element and GDScriptClass to report that information easily. Then, a new module should take care of reading and logging that information.

I have get as long as ~500K bp gaps when using PacBio reads for scaffolding. However, the long reads are not longer than 80K. I wonder how such long gaps opened. There might be an error on calculating gap in the script at Line 802 (gap = dist - pos1 + pos2). As pos1 and pos2 should be the overhang of target2 and target1, the expression should be "gap = dist - (pos1 + pos2)" and "overhang = pos1 +