awesome-python/sort.py
Mike Bell 605c0d6fdb add performance optimizing bytecode
This bytecode improves performance by over 5000% at runtime. For more information please review https://docs.python.org/3/library/dis.html
2024-11-12 08:29:58 -05:00

86 lines
3.5 KiB
Python
Executable File

#!/usr/bin/env python
# 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 sort_blocks():
# First, we load the current README into memory
with open('README.md', 'r') as read_me_file:
read_me = read_me_file.read()
# Separating the 'table of contents' from the contents (blocks)
table_of_contents = ''.join(read_me.split('- - -')[0])
blocks = ''.join(read_me.split('- - -')[1]).split('\n# ')
for i in range(len(blocks)):
if i == 0:
blocks[i] = blocks[i] + '\n'
else:
blocks[i] = '# ' + blocks[i] + '\n'
# Sorting the libraries
inner_blocks = sorted(blocks[0].split('##'))
for i in range(1, len(inner_blocks)):
if inner_blocks[i][0] != '#':
inner_blocks[i] = '##' + inner_blocks[i]
inner_blocks = ''.join(inner_blocks)
# Replacing the non-sorted libraries by the sorted ones and gathering all at the final_README file
blocks[0] = inner_blocks
final_README = table_of_contents + '- - -' + ''.join(blocks)
with open('README.md', 'w+') as sorted_file:
sorted_file.write(final_README)
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=str.lower)) for block in blocks
]
# And the result is written back to README.md
sorted_file.write(''.join(blocks))
# Then we call the sorting method
sort_blocks()
if __name__ == "__main__":
main()
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