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How to use seed_all method in hypothesis

Best Python code snippet using hypothesis

test_random.py

Source:test_random.py

...7from .base_test import BaseTestCase, unittest8from ..random import seed_all9class TestSeedAll(BaseTestCase):10    def test_builtin(self):11        seed_all(0)12        x1 = random.randint(0, 1000000)13        x2 = random.randint(0, 1000000)14        self.assertTrue(x1 != x2)15        seed_all(1)16        x3 = random.randint(0, 1000000)17        self.assertTrue(x1 != x3)18        seed_all(0)19        x4 = random.randint(0, 1000000)20        self.assertTrue(x1 == x4)21    def test_numpy(self):22        seed_all(0)23        x1 = np.random.randint(0, 1000000)24        x2 = np.random.randint(0, 1000000)25        self.assertTrue(x1 != x2)26        seed_all(1)27        x3 = np.random.randint(0, 1000000)28        self.assertTrue(x1 != x3)29        seed_all(0)30        x4 = np.random.randint(0, 1000000)31        self.assertTrue(x1 == x4)32    def test_numpy2(self):33        seed_all(0)34        self.assert_equal(np.random.randint(1000), 684)35        seed_all(4294967295)36        self.assert_equal(np.random.randint(1000), 419)37    def test_torch_cpu(self):38        seed_all(0)39        x1 = torch.randint(0, 1000000, (1,))40        x2 = torch.randint(0, 1000000, (1,))41        self.assertTrue((x1 != x2).item())42        seed_all(1)43        x3 = torch.randint(0, 1000000, (1,))44        self.assertTrue((x1 != x3).item())45        seed_all(0)46        x4 = torch.randint(0, 1000000, (1,))47        self.assert_array_equal(x1, x4)48    def test_seed_none(self):49        seed_all(None)50        random.randint(0, 1000000)51        np.random.randint(0, 1000000)...

seed.py

Source:seed.py

2import numpy as np3import os4import random5import torch6def seed_all(seed=None):7    if seed is None:8        seed = (9            os.getpid()10            + int(datetime.now().strftime("%S%f"))11            + int.from_bytes(os.urandom(2), "big")12        )13        print("Using a generated random seed {}".format(seed))14    torch.manual_seed(seed)15    np.random.seed(seed)16    random.seed(seed)17    os.environ["PYTHONHASHSEED"] = str(seed)18def worker_init_reset_seed(worker_id):19    initial_seed = torch.initial_seed() % 2 ** 31...

__init__.py

Source:__init__.py

...5seed_commands = AppGroup('seed')6# Creates the `flask seed all` command7@seed_commands.command('all')8def seed():9    seed_all()10    # Add other seed functions here11# Creates the `flask seed undo` command12@seed_commands.command('undo')13def undo():14    undo_seed_all()...

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