Join the 1-day Testing & QA Summit featuring 15+ Expert Speakers.Register for FREE! Join TestMu Conference

How to use pareto_key method in hypothesis

Best Python code snippet using hypothesis

test_pareto.py

Source:test_pareto.py

1# This file is part of Hypothesis, which may be found at2# https://github.com/HypothesisWorks/hypothesis/3#4# Most of this work is copyright (C) 2013-2020 David R. MacIver5# (david@drmaciver.com), but it contains contributions by others. See6# CONTRIBUTING.rst for a full list of people who may hold copyright, and7# consult the git log if you need to determine who owns an individual8# contribution.9#10# This Source Code Form is subject to the terms of the Mozilla Public License,11# v. 2.0. If a copy of the MPL was not distributed with this file, You can12# obtain one at https://mozilla.org/MPL/2.0/.13#14# END HEADER15import pytest16from hypothesis import HealthCheck, Phase, settings17from hypothesis.database import InMemoryExampleDatabase18from hypothesis.internal.compat import int_to_bytes19from hypothesis.internal.conjecture.data import Status20from hypothesis.internal.conjecture.engine import ConjectureRunner, RunIsComplete21from hypothesis.internal.entropy import deterministic_PRNG22def test_pareto_front_contains_different_interesting_reasons():23    with deterministic_PRNG():24        def test(data):25            data.mark_interesting(data.draw_bits(4))26        runner = ConjectureRunner(27            test,28            settings=settings(29                max_examples=5000,30                database=InMemoryExampleDatabase(),31                suppress_health_check=HealthCheck.all(),32            ),33            database_key=b"stuff",34        )35        runner.run()36        assert len(runner.pareto_front) == 2 ** 437def test_database_contains_only_pareto_front():38    with deterministic_PRNG():39        def test(data):40            data.target_observations["1"] = data.draw_bits(4)41            data.draw_bits(64)42            data.target_observations["2"] = data.draw_bits(8)43        db = InMemoryExampleDatabase()44        runner = ConjectureRunner(45            test,46            settings=settings(47                max_examples=500, database=db, suppress_health_check=HealthCheck.all()48            ),49            database_key=b"stuff",50        )51        runner.run()52        assert len(runner.pareto_front) <= 50053        for v in runner.pareto_front:54            assert v.status >= Status.VALID55        assert len(db.data) == 156        (values,) = db.data.values()57        values = set(values)58        assert len(values) == len(runner.pareto_front)59        for data in runner.pareto_front:60            assert data.buffer in values61            assert data in runner.pareto_front62        for k in values:63            assert runner.cached_test_function(k) in runner.pareto_front64def test_clears_defunct_pareto_front():65    with deterministic_PRNG():66        def test(data):67            data.draw_bits(8)68            data.draw_bits(8)69        db = InMemoryExampleDatabase()70        runner = ConjectureRunner(71            test,72            settings=settings(73                max_examples=10000,74                database=db,75                suppress_health_check=HealthCheck.all(),76                phases=[Phase.reuse],77            ),78            database_key=b"stuff",79        )80        for i in range(256):81            db.save(runner.pareto_key, bytes([i, 0]))82        runner.run()83        assert len(list(db.fetch(runner.pareto_key))) == 184def test_down_samples_the_pareto_front():85    with deterministic_PRNG():86        def test(data):87            data.draw_bits(8)88            data.draw_bits(8)89        db = InMemoryExampleDatabase()90        runner = ConjectureRunner(91            test,92            settings=settings(93                max_examples=1000,94                database=db,95                suppress_health_check=HealthCheck.all(),96                phases=[Phase.reuse],97            ),98            database_key=b"stuff",99        )100        for i in range(10000):101            db.save(runner.pareto_key, int_to_bytes(i, 2))102        with pytest.raises(RunIsComplete):103            runner.reuse_existing_examples()104        assert runner.valid_examples == 1000105def test_stops_loading_pareto_front_if_interesting():106    with deterministic_PRNG():107        def test(data):108            data.draw_bits(8)109            data.draw_bits(8)110            data.mark_interesting()111        db = InMemoryExampleDatabase()112        runner = ConjectureRunner(113            test,114            settings=settings(115                max_examples=1000,116                database=db,117                suppress_health_check=HealthCheck.all(),118                phases=[Phase.reuse],119            ),120            database_key=b"stuff",121        )122        for i in range(10000):123            db.save(runner.pareto_key, int_to_bytes(i, 2))124        runner.reuse_existing_examples()125        assert runner.call_count == 1126def test_uses_tags_in_calculating_pareto_front():127    with deterministic_PRNG():128        def test(data):129            if data.draw_bits(1):130                data.start_example(11)131                data.draw_bits(8)132                data.stop_example()133        runner = ConjectureRunner(134            test,135            settings=settings(max_examples=10, database=InMemoryExampleDatabase()),136            database_key=b"stuff",137        )138        runner.run()139        assert len(runner.pareto_front) == 2140def test_optimises_the_pareto_front():141    def test(data):142        count = 0143        while data.draw_bits(8):144            count += 1145        data.target_observations[""] = min(count, 5)146    runner = ConjectureRunner(147        test,148        settings=settings(max_examples=10000, database=InMemoryExampleDatabase()),149        database_key=b"stuff",150    )151    runner.cached_test_function([255] * 20 + [0])152    runner.pareto_optimise()153    assert len(runner.pareto_front) == 6154    for i, data in enumerate(runner.pareto_front):155        assert list(data.buffer) == [1] * i + [0]156def test_does_not_optimise_the_pareto_front_if_interesting():157    def test(data):158        n = data.draw_bits(8)159        data.target_observations[""] = n160        if n == 255:161            data.mark_interesting()162    runner = ConjectureRunner(163        test,164        settings=settings(max_examples=10000, database=InMemoryExampleDatabase()),165        database_key=b"stuff",166    )167    runner.cached_test_function([0])168    runner.pareto_optimise = None169    runner.optimise_targets()170    assert runner.interesting_examples171def test_stops_optimising_once_interesting():172    hi = 2 ** 16 - 1173    def test(data):174        n = data.draw_bits(16)175        data.target_observations[""] = n176        if n < hi:177            data.mark_interesting()178    runner = ConjectureRunner(179        test,180        settings=settings(max_examples=10000, database=InMemoryExampleDatabase()),181        database_key=b"stuff",182    )183    data = runner.cached_test_function([255] * 2)184    assert data.status == Status.VALID185    runner.pareto_optimise()186    assert runner.call_count <= 20...

extract_predicted_pareto_frontier.py

Source:extract_predicted_pareto_frontier.py

1from __future__ import division2from non_dominated_sort import non_dominated_sort3import os4import csv5lessismore = {}6lessismore["results_SS-L/"] = [False, False]7lessismore["results_SS-H/"] = [False, False]8lessismore["results_SS-B/"] = [False, False]9lessismore["results_SS-J/"] = [False, True]10lessismore["results_SS-D/"] = [False, True]11lessismore["results_SS-E/"] = [False, True]12lessismore["results_SS-I/"] = [False, True]13lessismore["results_SS-K/"] = [False, True]14lessismore["results_SS-A/"] = [False, True]15lessismore["results_SS-C/"] = [False, True]16lessismore["results_SS-G/"] = [False, True]17lessismore["results_SS-F/"] = [False, True]18ePAL_data_folder = "./Data/"19raw_data_folder = "../Data/"20pareto_data_folder = "./Data/"21result_folders = [f+'/' for f in os.listdir(ePAL_data_folder) if '.md' not in f]22print result_folders23for result_folder in result_folders:24    print "--- " * 1025    print result_folder26    # generate a dict to assign objective values27    objective_dict = {}28    raw_filename = raw_data_folder + result_folder.replace('results_', '').replace('/', '')  + '.csv'29    assert(os.path.isfile(raw_filename) is True), "Something is wrong"30    # Read content of the raw files from raw_data_folder31    content = open(raw_filename).readlines()32    duplicate_count = 033    for i, line in enumerate(content):34        if i == 0: continue  # Skip the first line which contains headers35        line_values = map(float, [v for v in line.strip().split(',')])36        independent_values = map(int, line_values[:-2])  # Since we only consider problems with two objectives37        dependent_values = line_values[-2:]  # Since we only consider problems with two objectives38        assert(len(independent_values) + len(dependent_values) == len(line_values)), "Something is wrong"39        independent_key = ",".join(map(str, independent_values))40        if independent_key in objective_dict.keys(): duplicate_count += 141        objective_dict[independent_key] = dependent_values42    # find the objective scores of the pareto front extracted by epal43    pareto_files = [pareto_data_folder + result_folder + f for f in os.listdir(pareto_data_folder + result_folder) if "prediction_error" not in f and 'stop' not in f and ".csv" in f]44    for pareto_file in pareto_files:45        print ". ",pareto_file46        pareto_content = open(pareto_file).readlines()47        assert(len(content) >= len(pareto_content)), "Something is wrong"48        predicted_pareto_front = []49        # Finding objective values for the evaluated solutions returned by ePAL50        for pc in pareto_content:51            pc_value = map(int, map(float, pc.strip().split(';')))52            pareto_key = ",".join(map(str, pc_value))53            predicted_pareto_front.append(objective_dict[pareto_key])54        assert(len(predicted_pareto_front) == len(pareto_content)), "Something is wrong"55    #56        nd_pf_indexes = non_dominated_sort(predicted_pareto_front, lessismore[result_folder])57        nd_pf = sorted([predicted_pareto_front[index] for index in nd_pf_indexes], key=lambda x:x[1], reverse=True)58        # Store Predicted Pareto Data59        pf_store_filename = "./Predicted_Frontier/" +  "/".join(pareto_file.split('/')[2:])60        intermediate_folders = "/".join(pf_store_filename.split('/')[:-1]) + "/"61        try:62            os.makedirs(intermediate_folders)63        except:64            pass65        with open(pf_store_filename, "wb") as f:66            writer = csv.writer(f)...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.