Numpy boolean indexing

For the "mask: want patterns like this:

0 0 0 1 1 1 0 0 0 1 1 1 0 ...
1 0 0 0 1 1 1 0 0 0 1 1 1 ...
1 1 0 0 0 1 1 1 0 0 0 1 1 ...
1 1 1 0 0 0 1 1 1 0 0 0 1 ...
0 1 1 1 0 0 0 1 1 1 0 0 0 ...
0 0 1 1 1 0 0 0 1 1 1 0 0 ...
...

Threadcount and color info

You requested threadcount details from The Scottish Register of Tartans website
for the Argyll Campbell tartan. The details are given below.

Threadcount:
B4K4B36K40G36W8G36K40B34K6

Pallet:
B=2C4084BLUE;K=101010BLACK;G=005020MOD GREEN;W=E0E0E0WHITE;

Threadcount given over a half sett with full count at the pivots.

You may wish to refer to the threadcount guidance section
for further information on threadcounts.

Parsing the palette

d = {'apple':'round crispy fruit', 'banana':'long yellow fruit'}

d['apple']

'round crispy fruit'

int('F8',16)

Parsing the threadcount

import re
threadcount = 'B4K4B36K40G36W8G36K40B34K6'
colors = re.findall('[A-Z]' ,threadcount)
counts = re.findall('[0-9]+',threadcount)