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How to use create_model method in localstack
Best Python code snippet using localstack_python
0002_data.py
Source:0002_data.py 
1from django.db import migrations2from core.models import Hour, Minute, Timing3def create_model(model):4 model.save()5 return model6def init_data(apps, schema_editor):7 # Hour8 hour_0 = create_model(Hour(title="00", hour=0))9 hour_1 = create_model(Hour(title="01", hour=1))10 hour_2 = create_model(Hour(title="02", hour=1))11 hour_3 = create_model(Hour(title="03", hour=1))12 hour_4 = create_model(Hour(title="04", hour=1))13 hour_5 = create_model(Hour(title="05", hour=1))14 hour_6 = create_model(Hour(title="06", hour=1))15 hour_7 = create_model(Hour(title="07", hour=1))16 hour_8 = create_model(Hour(title="08", hour=1))17 hour_9 = create_model(Hour(title="09", hour=1))18 hour_10 = create_model(Hour(title="10", hour=1))19 hour_11 = create_model(Hour(title="11", hour=1))20 hour_12 = create_model(Hour(title="12", hour=1))21 hour_13 = create_model(Hour(title="13", hour=1))22 hour_14 = create_model(Hour(title="14", hour=1))23 hour_15 = create_model(Hour(title="15", hour=1))24 hour_16 = create_model(Hour(title="16", hour=1))25 hour_17 = create_model(Hour(title="17", hour=1))26 hour_18 = create_model(Hour(title="18", hour=1))27 hour_19 = create_model(Hour(title="19", hour=1))28 hour_20 = create_model(Hour(title="20", hour=1))29 hour_21 = create_model(Hour(title="21", hour=1))30 hour_22 = create_model(Hour(title="22", hour=1))31 hour_23 = create_model(Hour(title="23", hour=1))32 # Minute33 minute_0 = create_model(Minute(title="00", minute=0))34 minute_1 = create_model(Minute(title="01", minute=1))35 minute_2 = create_model(Minute(title="02", minute=2))36 minute_3 = create_model(Minute(title="03", minute=3))37 minute_4 = create_model(Minute(title="04", minute=4))38 minute_5 = create_model(Minute(title="05", minute=5))39 minute_6 = create_model(Minute(title="06", minute=6))40 minute_7 = create_model(Minute(title="07", minute=7))41 minute_8 = create_model(Minute(title="08", minute=8))42 minute_9 = create_model(Minute(title="09", minute=9))43 minute_10 = create_model(Minute(title="10", minute=10))44 minute_11 = create_model(Minute(title="11", minute=11))45 minute_12 = create_model(Minute(title="12", minute=12))46 minute_13 = create_model(Minute(title="13", minute=13))47 minute_14 = create_model(Minute(title="14", minute=14))48 minute_15 = create_model(Minute(title="15", minute=15))49 minute_16 = create_model(Minute(title="16", minute=16))50 minute_17 = create_model(Minute(title="17", minute=17))51 minute_18 = create_model(Minute(title="18", minute=18))52 minute_19 = create_model(Minute(title="19", minute=19))53 minute_20 = create_model(Minute(title="20", minute=20))54 minute_21 = create_model(Minute(title="21", minute=21))55 minute_22 = create_model(Minute(title="22", minute=22))56 minute_23 = create_model(Minute(title="23", minute=23))57 minute_24 = create_model(Minute(title="24", minute=24))58 minute_25 = create_model(Minute(title="25", minute=25))59 minute_26 = create_model(Minute(title="26", minute=26))60 minute_27 = create_model(Minute(title="27", minute=27))61 minute_28 = create_model(Minute(title="28", minute=28))62 minute_29 = create_model(Minute(title="29", minute=29))63 minute_30 = create_model(Minute(title="30", minute=30))64 minute_31 = create_model(Minute(title="31", minute=31))65 minute_32 = create_model(Minute(title="32", minute=32))66 minute_33 = create_model(Minute(title="33", minute=33))67 minute_34 = create_model(Minute(title="34", minute=34))68 minute_35 = create_model(Minute(title="35", minute=35))69 minute_36 = create_model(Minute(title="36", minute=36))70 minute_37 = create_model(Minute(title="37", minute=37))71 minute_38 = create_model(Minute(title="38", minute=38))72 minute_39 = create_model(Minute(title="39", minute=39))73 minute_40 = create_model(Minute(title="40", minute=40))74 minute_41 = create_model(Minute(title="41", minute=41))75 minute_42 = create_model(Minute(title="42", minute=42))76 minute_43 = create_model(Minute(title="43", minute=43))77 minute_44 = create_model(Minute(title="44", minute=44))78 minute_45 = create_model(Minute(title="45", minute=45))79 minute_46 = create_model(Minute(title="46", minute=46))80 minute_47 = create_model(Minute(title="47", minute=47))81 minute_48 = create_model(Minute(title="48", minute=48))82 minute_49 = create_model(Minute(title="49", minute=49))83 minute_50 = create_model(Minute(title="50", minute=50))84 minute_51 = create_model(Minute(title="51", minute=51))85 minute_52 = create_model(Minute(title="52", minute=52))86 minute_53 = create_model(Minute(title="53", minute=53))87 minute_54 = create_model(Minute(title="54", minute=54))88 minute_55 = create_model(Minute(title="55", minute=55))89 minute_56 = create_model(Minute(title="56", minute=56))90 minute_57 = create_model(Minute(title="57", minute=57))91 minute_58 = create_model(Minute(title="58", minute=58))92 minute_59 = create_model(Minute(title="59", minute=59))93 # Timing94 timing_5 = create_model(Timing(title='5 минÑÑ', minutes=5))95 timing_10 = create_model(Timing(title='10 минÑÑ', minutes=10))96 timing_15 = create_model(Timing(title='15 минÑÑ', minutes=15))97 timing_30 = create_model(Timing(title='30 минÑÑ', minutes=30))98 timing_45 = create_model(Timing(title='45 минÑÑ', minutes=45))99 timing_60 = create_model(Timing(title='1 ÑаÑ', minutes=60))100 timing_120 = create_model(Timing(title='2 ÑаÑа', minutes=120))101 timing_180 = create_model(Timing(title='3 ÑаÑа', minutes=180))102 timing_360 = create_model(Timing(title='6 ÑаÑов', minutes=360))103 timing_720 = create_model(Timing(title='12 ÑаÑов', minutes=720))104 timing_1440 = create_model(Timing(title='1 денÑ', minutes=1440))105class Migration(migrations.Migration):106 dependencies = [107 ('core', '0002_minute')108 ]109 operations = [110 migrations.RunPython(init_data),...
checkpoint.py
Source:checkpoint.py
...7from mamba_core.utils.model_serialization import load_state_dict8from tempfile import TemporaryDirectory9from torch import nn10class TestCheckpointer(unittest.TestCase):11 def create_model(self):12 return nn.Sequential(nn.Linear(2, 3), nn.Linear(3, 1))13 def create_complex_model(self):14 m = nn.Module()15 m.block1 = nn.Module()16 m.block1.layer1 = nn.Linear(2, 3)17 m.layer2 = nn.Linear(3, 2)18 m.res = nn.Module()19 m.res.layer2 = nn.Linear(3, 2)20 state_dict = OrderedDict()21 state_dict["layer1.weight"] = torch.rand(3, 2)22 state_dict["layer1.bias"] = torch.rand(3)23 state_dict["layer2.weight"] = torch.rand(2, 3)24 state_dict["layer2.bias"] = torch.rand(2)25 state_dict["res.layer2.weight"] = torch.rand(2, 3)26 state_dict["res.layer2.bias"] = torch.rand(2)27 return m, state_dict28 def test_from_last_checkpoint_model(self):29 # test that loading works even if they differ by a prefix30 for trained_model, fresh_model in [31 (self.create_model(), self.create_model()),32 (nn.DataParallel(self.create_model()), self.create_model()),33 (self.create_model(), nn.DataParallel(self.create_model())),34 (35 nn.DataParallel(self.create_model()),36 nn.DataParallel(self.create_model()),37 ),38 ]:39 with TemporaryDirectory() as f:40 checkpointer = Checkpointer(41 trained_model, save_dir=f, save_to_disk=True42 )43 checkpointer.save("checkpoint_file")44 # in the same folder45 fresh_checkpointer = Checkpointer(fresh_model, save_dir=f)46 self.assertTrue(fresh_checkpointer.has_checkpoint())47 self.assertEqual(48 fresh_checkpointer.get_checkpoint_file(),49 os.path.join(f, "checkpoint_file.pth"),50 )51 _ = fresh_checkpointer.load()52 for trained_p, loaded_p in zip(53 trained_model.parameters(), fresh_model.parameters()54 ):55 # different tensor references56 self.assertFalse(id(trained_p) == id(loaded_p))57 # same content58 self.assertTrue(trained_p.equal(loaded_p))59 def test_from_name_file_model(self):60 # test that loading works even if they differ by a prefix61 for trained_model, fresh_model in [62 (self.create_model(), self.create_model()),63 (nn.DataParallel(self.create_model()), self.create_model()),64 (self.create_model(), nn.DataParallel(self.create_model())),65 (66 nn.DataParallel(self.create_model()),67 nn.DataParallel(self.create_model()),68 ),69 ]:70 with TemporaryDirectory() as f:71 checkpointer = Checkpointer(72 trained_model, save_dir=f, save_to_disk=True73 )74 checkpointer.save("checkpoint_file")75 # on different folders76 with TemporaryDirectory() as g:77 fresh_checkpointer = Checkpointer(fresh_model, save_dir=g)78 self.assertFalse(fresh_checkpointer.has_checkpoint())79 self.assertEqual(fresh_checkpointer.get_checkpoint_file(), "")80 _ = fresh_checkpointer.load(os.path.join(f, "checkpoint_file.pth"))81 for trained_p, loaded_p in zip(...
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