How to use test_partial method in avocado

Best Python code snippet using avocado_python Github


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1from django.db import connection2from django.test import TestCase3from misago.threads.models import Thread4from misago.core.pgutils import PgPartialIndex5class PgPartialIndexTests(TestCase):6 def test_multiple_fields(self):7 """multiple fields are supported"""8 with connection.schema_editor() as editor:9 sql = PgPartialIndex(10 fields=['has_events', 'is_hidden'],11 name='test_partial',12 where={'has_events': True},13 ).create_sql(Thread, editor)14 self.assertIn('CREATE INDEX "test_partial" ON "misago_threads_thread"', sql)15 self.assertIn('ON "misago_threads_thread" ("has_events", "is_hidden")', sql)16 def test_where_clauses(self):17 """where clauses generate correctly"""18 with connection.schema_editor() as editor:19 sql = PgPartialIndex(20 fields=['has_events'],21 name='test_partial',22 where={'has_events': True},23 ).create_sql(Thread, editor)24 self.assertTrue(sql.endswith('WHERE "has_events" = true'))25 sql = PgPartialIndex(26 fields=['has_events'],27 name='test_partial',28 where={'has_events': False},29 ).create_sql(Thread, editor)30 self.assertTrue(sql.endswith('WHERE "has_events" = false'))31 sql = PgPartialIndex(32 fields=['has_events'],33 name='test_partial',34 where={'has_events': 42},35 ).create_sql(Thread, editor)36 self.assertTrue(sql.endswith('WHERE "has_events" = 42'))37 sql = PgPartialIndex(38 fields=['has_events'],39 name='test_partial',40 where={'has_events__lt': 42},41 ).create_sql(Thread, editor)42 self.assertTrue(sql.endswith('WHERE "has_events" < 42'))43 sql = PgPartialIndex(44 fields=['has_events'],45 name='test_partial',46 where={'has_events__gt': 42},47 ).create_sql(Thread, editor)48 self.assertTrue(sql.endswith('WHERE "has_events" > 42'))49 sql = PgPartialIndex(50 fields=['has_events'],51 name='test_partial',52 where={'has_events__lte': 42},53 ).create_sql(Thread, editor)54 self.assertTrue(sql.endswith('WHERE "has_events" <= 42'))55 sql = PgPartialIndex(56 fields=['has_events'],57 name='test_partial',58 where={'has_events__gte': 42},59 ).create_sql(Thread, editor)60 self.assertTrue(sql.endswith('WHERE "has_events" >= 42'))61 def test_multiple_where_clauses(self):62 """where clause with multiple conditions generates correctly"""63 with connection.schema_editor() as editor:64 sql = PgPartialIndex(65 fields=['has_events'],66 name='test_partial',67 where={68 'has_events__gte': 42,69 'is_hidden': True,70 },71 ).create_sql(Thread, editor)72 self.assertTrue(sql.endswith('WHERE "has_events" >= 42 AND "is_hidden" = true'))73 def test_set_name_with_model(self):74 """valid index name is autogenerated"""75 index = PgPartialIndex(76 fields=['has_events', 'is_hidden'],77 where={'has_events': True},78 )79 index.set_name_with_model(Thread)80 self.assertEqual(, 'misago_thre_has_eve_1b05b8_part')81 index = PgPartialIndex(82 fields=['has_events', 'is_hidden', 'is_closed'],83 where={'has_events': True},84 )85 index.set_name_with_model(Thread)86 self.assertEqual(, 'misago_thre_has_eve_eaab5e_part')87 index = PgPartialIndex(88 fields=['has_events', 'is_hidden', 'is_closed'],89 where={90 'has_events': True,91 'is_closed': False,92 },93 )94 index.set_name_with_model(Thread)95 self.assertEqual(, 'misago_thre_has_eve_e738fe_part')96 def test_index_repr(self):97 """index creates descriptive representation string"""98 index = PgPartialIndex(99 fields=['has_events'],100 where={'has_events': True},101 )102 self.assertEqual(repr(index), "<PgPartialIndex: fields='has_events', where='has_events=True'>")103 index = PgPartialIndex(104 fields=['has_events', 'is_hidden'],105 where={'has_events': True},106 )107 self.assertIn("fields='has_events, is_hidden',", repr(index))108 self.assertIn(", where='has_events=True'", repr(index))109 index = PgPartialIndex(110 fields=['has_events', 'is_hidden', 'is_closed'],111 where={112 'has_events': True,113 'is_closed': False,114 'replies__gte': 5,115 },116 )117 self.assertIn("fields='has_events, is_hidden, is_closed',", repr(index))...

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1import sys2import scoop3import time4import argparse5import logging6import random7from serialization import find_pickling_speed8from functools import partial9def make_parser():10 parser = argparse.ArgumentParser(11 description=('Run a parametric benchmark of scoop.')12 )13 parser.add_argument('--time', type = float, default = 5.0,14 help = "The mean time of each individual task")15 parser.add_argument('--serialization-time', type = float, default = 0.01,16 help = "The mean serialization time for each task")17 parser.add_argument('--tries', type = int, default = 10,18 help = ("The number of functions sent to the workers "19 "for each level of the hierchy"))20 parser.add_argument('--log', help = ("A filename to log the output "21 "(optional). This is different than the"22 'scoop "--log" option'))23 parser.add_argument('--level', help = "Number of level in the hierarchy",24 type = int, default = 2)25 return parser26def print_header(args):27 header = ("-------------------------------------------------\n"28 "Benchmarking using these parameters:\n"29 "tries: {0.tries}^{0.level} = {1}\n"30 "time: {0.time} s\n"31 "serialization time: {0.serialization_time} s\n"32 "SCOOP Parameters:\n"33 "number of workers: {2} workers\n"34 "number of brokers: {3} brokers\n"35 "SCOOP version: {4}\n"36 "Python version {5}\n"37 "-------------------------------------------------\n")38 header = header.format(args, args.tries ** args.level,39 scoop.SIZE, 1, scoop.__version__ + scoop.__revision__,40 sys.version)41 if args.log:42 with open(args.log, 'a') as f:43 f.write(header)44 else:45 print(header)46def test_function(_fake_data, cpu_time = 3.0, level = 0, number_of_tests = 1):47 start_time = time.time()48 test_partial = partial(test_function, number_of_tests = number_of_tests,49 level = level - 1, cpu_time = cpu_time)50 test_partial.__name__ = "test_partial"51 total = 052 number_of_times = 053 while time.time() - start_time < cpu_time:54 total += random.random()55 number_of_times += 156 if level <= 1:57 if number_of_times != 0:58 return total / number_of_times59 else:60 return 0.561 else:62 test_data = (_fake_data for _ in range(number_of_tests))63 children =, test_data)64 return sum(children) / number_of_tests65def test(number_of_tests, cpu_time, serialization_time, log, levels):66 test_partial = partial(test_function, number_of_tests = number_of_tests,67 level = levels, cpu_time = cpu_time)68 test_partial.__name__ = "test_partial"69 fake_data_len = find_serialization_time(serialization_time, log)70 fake_data = [random.random() for _ in range(fake_data_len)]71 send_data = (fake_data for _ in range(number_of_tests))72 begin_time = time.time()73 result = list(, send_data))74 total_time = time.time() - begin_time75 return result, total_time76def find_serialization_time(wanted_time, log):77 speed = find_pickling_speed(500, 14)78 if log:79 with open(log, 'a') as f:80 f.write("The pickling speed is {:g} bytes/s.\n".format(1/speed))81 else:82 print("The pickling speed is {:g} bytes/s.".format(1/speed))83 return int(wanted_time / speed)84if __name__ == "__main__":85 args = make_parser().parse_args()86 print_header(args)87 start_time = time.time()88 result, test_time = test(args.tries, args.time,89 args.serialization_time, args.log,90 args.level)91 end_time = time.time()92 if args.log:93 with open(args.log, 'a') as f:94 f.write("Total time: {}\n".format(end_time - start_time))95 f.write("Test time: {}\n".format(test_time))96 else:97 print("Total time: {}".format(end_time - start_time))...

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