blob: 9dd4828efcfad659b7abd36d6a17a31326ff8356 [file] [log] [blame]
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) 2012 The Chromium OS Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Tests for the tabulator module."""
from __future__ import print_function
__author__ = 'asharif@google.com (Ahmad Sharif)'
# System modules
import unittest
# Local modules
from cros_utils import tabulator
class TabulatorTest(unittest.TestCase):
"""Tests for the Tabulator class."""
def testResult(self):
table = ['k1', ['1', '3'], ['55']]
result = tabulator.Result()
cell = tabulator.Cell()
result.Compute(cell, table[2], table[1])
expected = ' '.join([str(float(v)) for v in table[2]])
self.assertTrue(cell.value == expected)
result = tabulator.AmeanResult()
cell = tabulator.Cell()
result.Compute(cell, table[2], table[1])
self.assertTrue(cell.value == float(table[2][0]))
def testStdResult(self):
table = ['k1', [], ['1', '2']]
result = tabulator.StdResult()
cell = tabulator.Cell()
result.Compute(cell, table[2], table[1])
self.assertTrue(cell.value == 0.5)
def testStdResultOfSampleSize1(self):
table = ['k1', [], ['1']]
result = tabulator.StdResult()
cell = tabulator.Cell()
result.Compute(cell, table[2], table[1])
self.assertTrue(cell.value == 0.0)
def testStringMean(self):
smr = tabulator.StringMeanResult()
cell = tabulator.Cell()
value = 'PASS'
values = [value for _ in range(3)]
smr.Compute(cell, values, None)
self.assertTrue(cell.value == value)
values.append('FAIL')
smr.Compute(cell, values, None)
self.assertTrue(cell.value == '?')
def testStorageFormat(self):
sf = tabulator.StorageFormat()
cell = tabulator.Cell()
base = 1024.0
cell.value = base
sf.Compute(cell)
self.assertTrue(cell.string_value == '1.0K')
cell.value = base**2
sf.Compute(cell)
self.assertTrue(cell.string_value == '1.0M')
cell.value = base**3
sf.Compute(cell)
self.assertTrue(cell.string_value == '1.0G')
def testLerp(self):
c1 = tabulator.Color(0, 0, 0, 0)
c2 = tabulator.Color(255, 0, 0, 0)
c3 = tabulator.Color.Lerp(0.5, c1, c2)
self.assertTrue(c3.r == 127.5)
self.assertTrue(c3.g == 0)
self.assertTrue(c3.b == 0)
self.assertTrue(c3.a == 0)
c3.Round()
self.assertTrue(c3.r == 127)
def testGmean(self):
a = [1.0e+308] * 3
# pylint: disable=protected-access
b = tabulator.Result()._GetGmean(a)
self.assertTrue(0.99e+308 <= b <= 1.01e+308)
def testIgnoreMinMax(self):
amr = tabulator.AmeanResult(ignore_min_max=True)
cell = tabulator.Cell()
values = [1, 2]
amr.Compute(cell, values, None)
self.assertTrue(cell.value == 1.5)
values = [1, 2, 8]
amr.Compute(cell, values, None)
self.assertTrue(cell.value == 2)
def testTableGenerator(self):
# yapf: disable
runs = [[{'k1': '10', 'k2': '12'},
{'k1': '13', 'k2': '14', 'k3': '15'}],
[{'k1': '50', 'k2': '51', 'k3': '52', 'k4': '53'}]]
# yapf: enable
labels = ['vanilla', 'modified']
tg = tabulator.TableGenerator(runs, labels)
table = tg.GetTable()
header = table.pop(0)
self.assertTrue(header == ['keys', 'vanilla', 'modified'])
row = table.pop(0)
self.assertTrue(row == ['k1', ['10', '13'], ['50']])
row = table.pop(0)
self.assertTrue(row == ['k2', ['12', '14'], ['51']])
row = table.pop(0)
self.assertTrue(row == ['k3', [None, '15'], ['52']])
row = table.pop(0)
self.assertTrue(row == ['k4', [None, None], ['53']])
table = tg.GetTable()
columns = [
tabulator.Column(tabulator.AmeanResult(), tabulator.Format()),
tabulator.Column(tabulator.AmeanRatioResult(),
tabulator.PercentFormat()),
]
tf = tabulator.TableFormatter(table, columns)
table = tf.GetCellTable()
self.assertTrue(table)
def testSamplesTableGenerator(self):
# yapf: disable
keyvals = {
'bench1': [[{'samples': 1}, {'samples': 2}],
[{'samples': 3}, {'samples': 4}]],
'bench2': [[{'samples': 5}, {}],
[{'samples': 6}, {'samples': 7}]]
}
# yapf: enable
weights = {'bench1': 0.2, 'bench2': 0.7}
iter_counts = {'bench1': 2, 'bench2': 2}
labels = ['vanilla', 'modified']
tg = tabulator.SamplesTableGenerator(keyvals, labels, iter_counts, weights)
(table, new_keyvals, new_iter_counts) = tg.GetTable()
columns = [
tabulator.Column(tabulator.IterationResult(), tabulator.Format()),
tabulator.Column(tabulator.AmeanResult(), tabulator.Format()),
tabulator.Column(tabulator.AmeanRatioResult(),
tabulator.PercentFormat()),
]
# This is the function to load column info.
tf = tabulator.TableFormatter(table, columns, samples_table=True)
# This is the function where to do all weighting calculation.
cell_table = tf.GetCellTable('summary')
self.assertTrue(cell_table)
header = table.pop(0)
self.assertTrue(header == ['Benchmarks', 'Weights', 'vanilla', 'modified'])
row = table.pop(0)
# yapf: disable
self.assertTrue(row == ['bench1', 0.2,
((2, 0), [1 * 0.2, 2 * 0.2]),
((2, 0), [3 * 0.2, 4 * 0.2])])
row = table.pop(0)
self.assertTrue(row == ['bench2', 0.7,
((1, 1), [5 * 0.7, None]),
((2, 0), [6 * 0.7, 7 * 0.7])])
row = table.pop(0)
self.assertTrue(row == ['Composite Benchmark (samples)', 'N/A',
((1, 1), [1 * 0.2 + 5 * 0.7, None]),
((2, 0), [3 * 0.2 + 6 * 0.7, 4 * 0.2 + 7 * 0.7])])
# yapf: enable
self.assertTrue('Composite Benchmark' in new_keyvals.keys())
self.assertTrue('Composite Benchmark' in new_iter_counts.keys())
def testColspan(self):
simple_table = [
['binary', 'b1', 'b2', 'b3'],
['size', 100, 105, 108],
['rodata', 100, 80, 70],
['data', 100, 100, 100],
['debug', 100, 140, 60],
]
columns = [
tabulator.Column(tabulator.AmeanResult(), tabulator.Format()),
tabulator.Column(tabulator.MinResult(), tabulator.Format()),
tabulator.Column(tabulator.AmeanRatioResult(),
tabulator.PercentFormat()),
tabulator.Column(tabulator.AmeanRatioResult(),
tabulator.ColorBoxFormat()),
]
our_table = [simple_table[0]]
for row in simple_table[1:]:
our_row = [row[0]]
for v in row[1:]:
our_row.append([v])
our_table.append(our_row)
tf = tabulator.TableFormatter(our_table, columns)
cell_table = tf.GetCellTable()
self.assertTrue(cell_table[0][0].colspan == 1)
self.assertTrue(cell_table[0][1].colspan == 2)
self.assertTrue(cell_table[0][2].colspan == 4)
self.assertTrue(cell_table[0][3].colspan == 4)
for row in cell_table[1:]:
for cell in row:
self.assertTrue(cell.colspan == 1)
if __name__ == '__main__':
unittest.main()