93744302aa
* Added approaches and articles for reverse-string. * Added code snippets for each approach. * remaned files to silence configlet. * renamed article snippets to .md to satisfy configlet. * Apply suggestions from code review Therefor != Therefore. TIL. Added missing link, so should no longer be broken. * Added more on the downfalls and gotchas of unicode. * Wrapping this up for now. * Deleted the Unicode directory for now.
128 lines
4.0 KiB
Python
128 lines
4.0 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""Script for timing Reverse String Solutions.
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Creates timing table and timing graphs for
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multiple approaches to reversing a stirng in Python.
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Created Jan 2024
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@author: bethanygarcia
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"""
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import timeit
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import pandas as pd
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import numpy as np
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# ------------ FUNCTIONS TO TIME ------------- #
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def reverse_slice(text):
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return text[::-1]
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def reverse_iterate_and_prepend(text):
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output = ''
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for codepoint in text:
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output = codepoint + output
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return output
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def reverse_range(text):
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return "".join(text[index] for index in range(len(text) - 1, -1, -1))
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def reverse_half_swap(text):
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output = list(text)
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length = len(text) // 2 # Cut the amount of iteration in half.
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for index in range(length):
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# Swap values at given indexes in output list.
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output[index], output[length - index - 1] = output[length - index - 1], output[index]
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return ''.join(output)
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def reverse_list_reverse(text):
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output = list(text)
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output.reverse()
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return ''.join(output)
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def reverse_reversed(text):
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return (''.join(reversed(text)))
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def reverse_map(text):
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return "".join(map(lambda x: text[(-x - 1)], range(len(text))))
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## ---------END FUNCTIONS TO BE TIMED-------------------- ##
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## -------- Timing Code Starts Here ---------------------##
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# Input Data Setup for ASCII Solutions
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long = 'Sünnipäevanädalalõpupeopärastlõunaväsimatus Pneumonoultramicroscopicsilicovolcanoconiosis Aequeosalinocalcalinoceraceoaluminosocupreovitriolic'
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words = [
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'Ramen',
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'Euouae',
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'racecar',
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'Strengths',
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"I'm hungry!",
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'Otorhinolaryngological',
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'Antidisestablishmentarianism',
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'Pseudopseudohypoparathyroidism',
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'Hippopotomonstrosesquippedaliophobia',
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'Sünnipäevanädalalõpupeopärastlõunaväsimatus',
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'Aequeosalinocalcalinoceraceoaluminosocupreovitriolic',
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'Lentokonesuihkuturbiinimoottoriapumekaanikkoaliupseerioppilas',
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'Miinibaashkiminasiganibiitoosijiganibadagwiingweshiganibakwezhigan',
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'Rindfleischetikettierungsüberwachungsaufgabenübertragungsgesetz',
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'Incomprehensibilities Otorhinolaryngological cyfrwngddarostyngedigaeth',
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'Antidisestablishmentarianism Spectrophotofluorometrically Antidisestablishmentarianism',
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'Sünnipäevanädalalõpupeopärastlõunaväsimatus Pneumonoultramicroscopicsilicovolcanoconiosis Aequeosalinocalcalinoceraceoaluminosocupreovitriolic',
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long * 10,
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long * 100,
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long * 1000
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]
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# #Set up columns and rows for Pandas Data Frame
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col_headers = [f'Str Len: {len(string)}' for string in words]
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row_headers = ['reverse slice', 'iterate & prepend', 'iterate with range', 'list swap', 'list reverse',
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'reversed builtin', 'map and join']
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labels = row_headers
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# # empty dataframe will be filled in one cell at a time later
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df = pd.DataFrame(np.nan, index=row_headers, columns=col_headers)
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# #Function List to Call When Timing
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functions = [reverse_slice, reverse_iterate_and_prepend, reverse_range, reverse_half_swap, reverse_list_reverse,
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reverse_reversed, reverse_map]
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# Run timings using timeit.autorange(). Run Each Set 3 Times.
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for function, title in zip(functions, row_headers):
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timings = [[
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timeit.Timer(lambda: function(data), globals=globals()).autorange()[1] /
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timeit.Timer(lambda: function(data), globals=globals()).autorange()[0]
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for data in words] for rounds in range(3)]
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# Only the fastest Cycle counts.
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timing_result = min(timings)
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# timing_result = [round(min(timeit.repeat(lambda: function(data), repeat=3, number=1000000, globals=globals())), 6) for data in words_II]
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print(f'{title}', f'Timings : {timing_result}')
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# Insert results into the dataframe
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df.loc[title, 'Str Len: 5':'Str Len: 142000'] = timing_result
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# The next bit is useful for `introduction.md`
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pd.options.display.float_format = '{:,.2e}'.format
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print('\nDataframe in Markdown format:\n')
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print(df.to_markdown(floatfmt=".2e"))
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