From d6de118675a192ce6e01574eb4eb2541db7aca7a Mon Sep 17 00:00:00 2001
From: Egor Tensin <Egor.Tensin@gmail.com>
Date: Wed, 6 May 2015 06:14:54 +0300
Subject: initial commit

---
 plot.py | 145 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 145 insertions(+)
 create mode 100644 plot.py

(limited to 'plot.py')

diff --git a/plot.py b/plot.py
new file mode 100644
index 0000000..33743aa
--- /dev/null
+++ b/plot.py
@@ -0,0 +1,145 @@
+# Copyright 2015 Egor Tensin <Egor.Tensin@gmail.com>
+# This file is licensed under the terms of the MIT License.
+# See LICENSE.txt for details.
+
+from time import clock
+import gc
+
+_ALGORITHMS = (
+    'bubble',
+    'bubble_optimized',
+    'heap',
+    'insertion',
+    'merge',
+    'quick_first',
+    'quick_second',
+    'quick_middle',
+    'quick_last',
+    'quick_random',
+    'selection',
+)
+
+def _get_context():
+    import argparse
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--repetitions', '-r', type=int, default=1,
+                        help='set number of sorting repetitions')
+    parser.add_argument('--input', '-i',
+                        default='randomized', metavar='INPUT',
+                        choices=('sorted', 'randomized', 'reversed'),
+                        help='choose initial input state')
+    parser.add_argument('--algorithm', '-l', metavar='ALGORITHM',
+                        choices=_ALGORITHMS, required=True,
+                        help='select sorting algorithm to use')
+    parser.add_argument('--min', '-a', type=int, required=True,
+                        help='set min input length',
+                        dest='min_input_length')
+    parser.add_argument('--max', '-b', type=int, required=True,
+                        help='set max input length',
+                        dest='max_input_length')
+    parser.add_argument('--output', '-o', dest='plot_path',
+                        help='set plot output path')
+    args = parser.parse_args()
+    if args.repetitions < 1:
+        parser.error('number of repetitions must be > 0')
+    if args.min_input_length < 0:
+        parser.error('min sequence length must be >= 0')
+    if args.max_input_length < 0:
+        parser.error('max sequence length must be >= 0')
+    if args.max_input_length < args.min_input_length:
+        parser.error('max sequence length cannot be less than min sequence length')
+    return args
+
+def get_timestamp():
+    return clock()
+
+def init_clock():
+    get_timestamp()
+
+def gen_input(args, n):
+    if args.input == 'sorted':
+        return list(range(n))
+    elif args.input == 'reversed':
+        return sorted(range(n), reverse=True)
+    elif args.input == 'randomized':
+        from random import sample
+        return sample(range(n), n)
+    else:
+        raise NotImplementedError(
+            'unimplemented initial input state \'{}\''.format(args.input))
+
+def measure_running_time(ctx, algorithm, input_length):
+    xs = gen_input(ctx, input_length)
+    assert algorithm(list(xs)) == sorted(xs)
+    input_copies = [list(xs) for i in range(ctx.repetitions)]
+    gc.disable()
+    starting_time = get_timestamp()
+    for i in range(ctx.repetitions):
+        algorithm(input_copies[i])
+    running_time = get_timestamp() - starting_time
+    gc.enable()
+    return running_time
+
+def _decorate_plot(ctx, plt):
+    plt.grid()
+    plt.xlabel('Input length')
+    plt.ylabel('Running time (sec)')
+    plt.title('{} sort, {} repetition(s), {} input'.format(
+        ctx.algorithm, ctx.repetitions, ctx.input))
+
+def plot_algorithm(ctx, algorithm):
+    import matplotlib.pyplot as plt
+    _decorate_plot(ctx, plt)
+    input_length = range(ctx.min_input_length,
+                         ctx.max_input_length + 1)
+    running_time = []
+    for n in input_length:
+        running_time.append(measure_running_time(ctx, algorithm, n))
+    plt.plot(input_length, running_time)
+    if ctx.plot_path is not None:
+        plt.savefig(ctx.plot_path)
+    else:
+        plt.show()
+
+def plot(ctx):
+    if ctx.algorithm == 'bubble':
+        from bubble_sort import bubble_sort
+        plot_algorithm(ctx, bubble_sort)
+    elif ctx.algorithm == 'bubble_optimized':
+        from bubble_sort import bubble_sort_optimized
+        plot_algorithm(ctx, bubble_sort_optimized)
+    elif ctx.algorithm == 'heap':
+        from heapsort import heapsort
+        plot_algorithm(ctx, heapsort)
+    elif ctx.algorithm == 'insertion':
+        from insertion_sort import insertion_sort
+        plot_algorithm(ctx, insertion_sort)
+    elif ctx.algorithm == 'merge':
+        from merge_sort import merge_sort
+        plot_algorithm(ctx, merge_sort)
+    elif ctx.algorithm == 'quick_first':
+        from quicksort import quicksort_first
+        plot_algorithm(ctx, quicksort_first)
+    elif ctx.algorithm == 'quick_second':
+        from quicksort import quicksort_second
+        plot_algorithm(ctx, quicksort_second)
+    elif ctx.algorithm == 'quick_middle':
+        from quicksort import quicksort_middle
+        plot_algorithm(ctx, quicksort_middle)
+    elif ctx.algorithm == 'quick_last':
+        from quicksort import quicksort_last
+        plot_algorithm(ctx, quicksort_last)
+    elif ctx.algorithm == 'quick_random':
+        from quicksort import quicksort_random
+        plot_algorithm(ctx, quicksort_random)
+    elif ctx.algorithm == 'selection':
+        from selection_sort import selection_sort
+        plot_algorithm(ctx, selection_sort)
+    else:
+        raise NotImplementedError(
+            'unknown algorithm \'{}\''.format(ctx.algorithm))
+
+if __name__ == '__main__':
+    ctx = _get_context()
+    init_clock()
+    plot(ctx)
-- 
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