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How to use verify_step method in grail
Best Python code snippet using grail_python
sign_up.py
Source:sign_up.py 
...23 error_id = set_error_message(message=message)24 return redirect(url_for("auth.error", error=error_id))25@bp.get("/step1")26@login_block27@verify_step(1)28def step1():29 email = session['social.kakao.email']30 code_id = session['social.kakao.code_id']31 code: Code = Code.query.filter_by(32 id=code_id,33 email=email34 ).first()35 if code is None:36 return to(message="ë§ë£ë ì´ë©ì¼ ì¸ì¦ ìì²ì
ëë¤. ë¤ì ìëí´ì£¼ì¸ì.")37 if code.is_expired() or code.is_used():38 return to(message="ë§ë£ë ì´ë©ì¼ ì¸ì¦ ìì²ì
ëë¤. ë¤ì ìëí´ì£¼ì¸ì.")39 return render_template(40 "kakao/sign-up/step1.html",41 error=get_error_message(),42 email=environ['SMTP_USER']43 )44@bp.post("/step1")45@verify_step(1)46def step1_post():47 email = session['social.kakao.email']48 code_id = session['social.kakao.code_id']49 code: Code = Code.query.filter_by(50 id=code_id,51 email=email52 ).first()53 if code is None:54 return to(message="ë§ë£ë ì´ë©ì¼ ì¸ì¦ ìì²ì
ëë¤. ë¤ì ìëí´ì£¼ì¸ì.")55 if code.is_expired() or code.is_used():56 return to(message="ë§ë£ë ì´ë©ì¼ ì¸ì¦ ìì²ì
ëë¤. ë¤ì ìëí´ì£¼ì¸ì.")57 if code.code == request.form.get("code", "undefined"):58 session['social.kakao.step'] = 259 # used in step160 del session['social.kakao.code_id']61 return redirect(url_for("social.kakao.sign_up.step2"))62 error_id = set_error_message(message="ì¸ì¦ ì½ëê° ì¬ë°ë¥´ì§ ììµëë¤.")63 return redirect(url_for("social.kakao.sign_up.step1", error=error_id))64@bp.get("/step2")65@login_block66@verify_step(2)67def step2():68 try:69 email = session['social.kakao.email']70 except KeyError:71 return to(message="ì¬ë°ë¥¸ ìì²ì´ ìëëë¤")72 tos = TermsOfService.query.order_by(73 TermsOfService.id.desc()74 ).with_entities(75 TermsOfService.id76 ).first()77 privacy = PrivacyPolicy.query.order_by(78 PrivacyPolicy.id.desc()79 ).with_entities(80 PrivacyPolicy.id81 ).first()82 if tos is None or privacy is None:83 return "ìë¹ì¤ ì´ì©ì½ê´ê³¼ ê°ì¸ì ë³´ ì²ë¦¬ë°©ì¹¨ì´ ë±ë¡ëì§ ìì íìê°ì
ì ì§í í ì ììµëë¤."84 session['social.kakao.version'] = {85 "tos": tos.id,86 "privacy": privacy.id87 }88 return render_template(89 "kakao/sign-up/step2.html",90 error=get_error_message()91 )92@bp.post("/step2")93@login_block94@verify_step(2)95def step2_post():96 def _to(message: str):97 error_id = set_error_message(message=message)98 return redirect(url_for("social.kakao.sign_up.step2", error=error_id))99 tos_agree = request.form.get("tos_agree", None) == "on"100 privacy_agree = request.form.get("privacy_agree", None) == "on"101 if tos_agree is False:102 return _to(message="ìë¹ì¤ ì´ì©ì½ê´ì ëìí´ì¼ ìë¹ì¤ë¥¼ ì´ì© í ì ììµëë¤.")103 if privacy_agree is False:104 return _to(message="ê°ì¸ì ë³´ ì²ë¦¬ë°©ì¹¨ì ëìí´ì¼ ìë¹ì¤ë¥¼ ì´ì© í ì ììµëë¤.")105 try:106 id = session['social.kakao.id']107 email = session['social.kakao.email']108 version = session['social.kakao.version']...
test_nn.py
Source:test_nn.py
...18 out = self.conv(x)19 return out20 shape = [1, 1, 28, 28]21 x = torch.randn(*shape)22 verify_step(Model(), [x])23def test_linear():24 class Model(nn.Module):25 def __init__(self):26 super().__init__()27 self.linear = nn.Linear(120, 84)28 def forward(self, x):29 out = self.linear(x)30 return out31 shape = [32, 120]32 x = torch.randn(*shape)33 verify_step(Model(), [x])34def test_sum():35 class Model(nn.Module):36 def __init__(self):37 super().__init__()38 def forward(self, x):39 out = torch.sum(x)40 return out41 shape = [32, 120]42 x = torch.randn(*shape)43 verify_step(Model(), [x], jit_script=False, tol=5e-4)44def test_pad():45 class Model(nn.Module):46 def __init__(self):47 super().__init__()48 def forward(self, x):49 pad = (1, 2, 3, 4, 5, 6)50 out = torch.nn.functional.pad(x, pad, "constant", 2)51 return out52 shape = [32, 120, 20]53 x = torch.randn(*shape)54 verify_step(Model(), [x], jit_script=False)55def test_gelu():56 """GeLU supports approximation since https://github.com/pytorch/pytorch/pull/72826"""57 class Model(nn.Module):58 def __init__(self):59 super().__init__()60 self.gelu = torch.nn.GELU("none")61 def forward(self, x):62 return self.gelu(x)63 shape = [5, 5]64 t_x_cpu = torch.randn(shape, requires_grad=True)65 verify_step(Model(), [t_x_cpu], jit_script=False)66 verify_step(Model(), [t_x_cpu], jit_script=False, with_backward=True)67@pytest.mark.parametrize("dtype", [torch.float32, torch.float16])68@pytest.mark.parametrize("norm_type", [1, 2])69def test_embedding(dtype, norm_type):70 class Model(nn.Module):71 def __init__(self):72 super().__init__()73 self.embedding = nn.Embedding(10, 3, norm_type=norm_type, dtype=dtype)74 def forward(self, x_input):75 return self.embedding(x_input)76 x = torch.randint(10, (3, 3))77 verify_step(Model(), [x], jit_script=False)78def test_softmax():79 class Model(nn.Module):80 def __init__(self):81 super().__init__()82 self.softmax = nn.Softmax()83 def forward(self, x_input):84 return self.softmax(x_input)85 shape = (3, 3)86 t_x_cpu = torch.randn(shape, requires_grad=True)87 verify_step(Model(), [t_x_cpu], jit_script=False)88 verify_step(Model(), [t_x_cpu], jit_script=False, with_backward=True)89@pytest.mark.parametrize("dtype", [torch.float32])90@pytest.mark.parametrize("p", [0.2, 0.6])91def test_dropout(p, dtype):92 class Model(nn.Module):93 def __init__(self):94 super().__init__()95 self.dropout = nn.Dropout(p=p)96 def forward(self, x_input):97 return self.dropout(x_input)98 def check_dropout(x, y, dx=None, dy=None):99 x, y = x.cpu().detach().numpy(), y.cpu().detach().numpy()100 mask = y != 0101 expected = mask * x / (1 - p)102 check(expected, y)...
MapMetricStepTests.py
Source:MapMetricStepTests.py
1import unittest2from dto.CacheMetricsDTO import CacheMetricsDTO3from etl.Pipeline import Pipeline4from etl.PipelineStep import PipelineStep5from steps.MapMetricStep import MapMetricStep6class MockPipelineSetupStep(PipelineStep):7 def __init__(self):8 super().__init__(self.__class__.__name__)9 def run_step(self, pipeline_context):10 mock_payload = {}11 mock_payload['mock_key'] = 'mock_value'12 mock_dto = CacheMetricsDTO(mock_payload)13 metrics = [mock_dto]14 pipeline_context.add_var('metrics_list', metrics)15class MockVerifyPipelineStep(PipelineStep):16 def __init__(self, verify_key):17 super().__init__(self.__class__.__name__)18 self.__verify_key = verify_key19 self.__assert_flag = False20 def run_step(self, pipeline_context):21 self.__assert_flag = (pipeline_context.get_var('metrics_list')[0].get_metric_var(self.__verify_key) == 'mock_value')22 def get_assert_flag(self):23 return self.__assert_flag24class MapMetricsStepTests(unittest.TestCase):25 def test_step_maps_direct(self):26 pipeline = Pipeline()27 pipeline.add_step(MockPipelineSetupStep())28 pipeline.add_step(MapMetricStep('mock_key', 'mock_key'))29 verify_step = MockVerifyPipelineStep('mock_key')30 pipeline.add_step(verify_step)31 pipeline.run()32 self.assertEqual(verify_step.get_assert_flag(), True)33 def test_step_maps_rename(self):34 pipeline = Pipeline()35 pipeline.add_step(MockPipelineSetupStep())36 pipeline.add_step(MapMetricStep('mock_key', 'mock_key2'))37 verify_step = MockVerifyPipelineStep('mock_key2')38 pipeline.add_step(verify_step)39 pipeline.run()40 self.assertEqual(verify_step.get_assert_flag(), True)41if __name__ == '__main__':...
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