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# coding: utf-8

"""

The approach taken is explained below. I decided to do it simply.

Initially I was considering parsing the data into some sort of

structure and then generating an appropriate README. I am still

considering doing it - but for now this should work. The only issue

I see is that it only sorts the entries at the lowest level, and that

the order of the top-level contents do not match the order of the actual

entries.

This could be extended by having nested blocks, sorting them recursively

and flattening the end structure into a list of lines. Revision 2 maybe ^.^.

"""

def main():

# First, we load the current README into memory as an array of lines

with open('README.md', 'r') as read_me_file:

read_me = read_me_file.readlines()

# Then we cluster the lines together as blocks

# Each block represents a collection of lines that should be sorted

# This was done by assuming only links ([...](...)) are meant to be sorted

# Clustering is done by indentation

blocks = []

last_indent = None

for line in read_me:

s_line = line.lstrip()

indent = len(line) - len(s_line)

if any([s_line.startswith(s) for s in ['* [', '- [']]):

if indent == last_indent:

blocks[-1].append(line)

else:

blocks.append([line])

last_indent = indent

else:

blocks.append([line])

last_indent = None

with open('README.md', 'w+') as sorted_file:

# Then all of the blocks are sorted individually

blocks = [''.join(sorted(block, key=lambda s: s.lower())) for block in blocks]

# And the result is written back to README.md

sorted_file.write(''.join(blocks))

if __name__ == "__main__":

main()