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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¦ ìì²ìëë¤. 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¦ ìì²ìëë¤. 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¦ ìì²ìëë¤. 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¦ ìì²ìëë¤. 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°ìì 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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