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How to use lists_of_length method in hypothesis

Best Python code snippet using hypothesis

test_shrink_quality.py

Source:test_shrink_quality.py

...90        == [0] * 1091    )92def test_flatmap_rectangles():93    lengths = integers(min_value=0, max_value=10)94    def lists_of_length(n):95        return lists(sampled_from("ab"), min_size=n, max_size=n)96    xs = minimal(97        lengths.flatmap(lambda w: lists(lists_of_length(w))),98        lambda x: ["a", "b"] in x,99        settings=settings(database=None, max_examples=2000),100    )101    assert xs == [["a", "b"]]102@flaky(min_passes=5, max_runs=5)103@pytest.mark.parametrize("dict_class", [dict, OrderedDict])104def test_dictionary(dict_class):105    assert (106        minimal(dictionaries(keys=integers(), values=text(), dict_class=dict_class))107        == dict_class()108    )109    x = minimal(110        dictionaries(keys=integers(), values=text(), dict_class=dict_class),111        lambda t: len(t) >= 3,...

problem3.py

Source:problem3.py

1#!/usr/bin/env python32import random3import time4from node import Node5from problem1 import list_concat6from problem2 import list_concat_copy7min_num_el = 10008max_num_el = 150009step = 100010def generate_list(length):11    lst = None12    for i in range(0, length):13        if i == 0:14            lst = Node(random.randint(1, 101))15        else:16            lst = Node(random.randint(1, 101), lst)17    return lst18def main():19    lists_of_length = [i for i in range(min_num_el, max_num_el + step, step)]20    listA = None21    listB = None22    for length in lists_of_length:23        listA = generate_list(length)24        listB = generate_list(length)25        t1 = time.clock()26        list_concat(listA, listB)27        print("%d %f" % (length, time.clock() - t1), end="")28        t2 = time.clock()29        list_concat_copy(listA, listB)30        print(" %f" % (time.clock() - t2))31        print("")32if __name__ == "__main__":...

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