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function perc2color(perc) {
	var r, g, b = 0;
	if(perc < 50) {
		r = 255;
		g = Math.round(5.1 * perc);
	}
	else {
		g = 255;
		r = Math.round(510 - 5.10 * perc);
	}

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https://stackoverflow.com/questions/10825926/python-3-x-rounding-behavior

>>> decimal.Decimal('3.5').quantize(decimal.Decimal('1'), rounding=decimal.ROUND_HALF_UP)
Decimal('4')

>>> decimal.Decimal('2.5').quantize(decimal.Decimal('1'), rounding=decimal.ROUND_HALF_EVEN)
Decimal('2')

>>> decimal.Decimal('3.5').quantize(decimal.Decimal('1'), rounding=decimal.ROUND_HALF_DOWN)
Decimal('3')

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def myprint(msg):
    print(msg, file=open("log.txt", "a"))

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# https://stackabuse.com/writing-to-a-file-with-pythons-print-function/

import sys

print('This message will be displayed on the screen.')

original_stdout = sys.stdout # Save a reference to the original standard output

with open('filename.txt', 'w') as f:
    sys.stdout = f # Change the standard output to the file we created.

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Installing the NVIDIA driver, CUDA and cuDNN on Linux (Ubuntu 20.04)

This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software

• NVIDIA graphics card driver (v450.57)
• CUDA (v11.0.2)
• cuDNN (v8.0.2.39)

on an Ubuntu Linux system, in particular Ubuntu 20.04.

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# Make mouse useful in copy mode
setw -g mouse on

# make scrolling with wheels work
bind -n WheelUpPane if-shell -F -t = "#{mouse_any_flag}" "send-keys -M" "if -Ft= '#{pane_in_mode}' 'send-keys -M' 'select-pane -t=; copy-mode -e; send-keys -M'"
bind -n WheelDownPane select-pane -t= \; send-keys -M

# Allow xterm titles in terminal window, terminal scrolling with scrollbar, and setting overrides of C-Up, C-Down, C-Left, C-Right
# (commented out because it disables cursor navigation in vim)
#set -g terminal-overrides "xterm*:XT:smcup@:rmcup@:kUP5=\eOA:kDN5=\eOB:kLFT5=\eOD:kRIT5=\eOC"

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def make_weights_for_balanced_classes(images, nclasses):                        
    count = [0] * nclasses                                                      
    for item in images:                                                         
        count[item[1]] += 1                                                     
    weight_per_class = [0.] * nclasses                                      
    N = float(sum(count))                                                   
    for i in range(nclasses):                                                   
        weight_per_class[i] = N/float(count[i])                                 
    weight = [0] * len(images)                                              
    for idx, val in enumerate(images):                                          

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https://github.com/nodejs/node/blob/master/BUILDING.md#unix-prerequisites

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# ERROR: Package '<...>' requires a different Python: <version> not in '>=..'
pip install --ignore-requires-python <some_python_package>.whl

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python pip-20.2.3-py2.py3-none-any.whl/pip install --no-index pip-20.2.3-py2.py3-none-any.whl