Join the 1-day Testing & QA Summit featuring 15+ Expert Speakers.Register for FREE! Join TestMu Conference

How to use create_stage method in localstack

Best Python code snippet using localstack_python

dope_model.py

Source:dope_model.py

...37            str(i_layer + 2), nn.Conv2d(256, 128, kernel_size=3, stride=1, padding=1))38        self.vgg.add_module(str(i_layer + 3), nn.ReLU(inplace=True))39        # print('---Belief------------------------------------------------')40        # _2 are the belief map stages41        self.m1_2 = DopeNetwork.create_stage(128, numBeliefMap, True)42        self.m2_2 = DopeNetwork.create_stage(128 + numBeliefMap + numAffinity, numBeliefMap, False)43        self.m3_2 = DopeNetwork.create_stage(128 + numBeliefMap + numAffinity, numBeliefMap, False)44        self.m4_2 = DopeNetwork.create_stage(128 + numBeliefMap + numAffinity, numBeliefMap, False)45        self.m5_2 = DopeNetwork.create_stage(128 + numBeliefMap + numAffinity, numBeliefMap, False)46        self.m6_2 = DopeNetwork.create_stage(128 + numBeliefMap + numAffinity, numBeliefMap, False)47        # print('---Affinity----------------------------------------------')48        # _1 are the affinity map stages49        self.m1_1 = DopeNetwork.create_stage(128, numAffinity, True)50        self.m2_1 = DopeNetwork.create_stage(128 + numBeliefMap + numAffinity, numAffinity, False)51        self.m3_1 = DopeNetwork.create_stage(128 + numBeliefMap + numAffinity, numAffinity, False)52        self.m4_1 = DopeNetwork.create_stage(128 + numBeliefMap + numAffinity, numAffinity, False)53        self.m5_1 = DopeNetwork.create_stage(128 + numBeliefMap + numAffinity, numAffinity, False)54        self.m6_1 = DopeNetwork.create_stage(128 + numBeliefMap + numAffinity, numAffinity, False)55    def forward(self, x):56        '''Runs inference on the neural network'''57        out1 = self.vgg(x)58        out1_2 = self.m1_2(out1)59        out1_1 = self.m1_1(out1)60        out2 = torch.cat([out1_2, out1_1, out1], 1)61        out2_2 = self.m2_2(out2)62        out2_1 = self.m2_1(out2)63        out3 = torch.cat([out2_2, out2_1, out1], 1)64        out3_2 = self.m3_2(out3)65        out3_1 = self.m3_1(out3)66        out4 = torch.cat([out3_2, out3_1, out1], 1)67        out4_2 = self.m4_2(out4)68        out4_1 = self.m4_1(out4)69        out5 = torch.cat([out4_2, out4_1, out1], 1)70        out5_2 = self.m5_2(out5)71        out5_1 = self.m5_1(out5)72        out6 = torch.cat([out5_2, out5_1, out1], 1)73        out6_2 = self.m6_2(out6)74        out6_1 = self.m6_1(out6)75        return torch.cat([out6_2, out6_1], 1)76    @staticmethod77    def create_stage(in_channels, out_channels, first=False):78        '''Create the neural network layers for a single stage.'''79        model = nn.Sequential()80        mid_channels = 12881        if first:82            padding = 183            kernel = 384            count = 685            final_channels = 51286        else:87            padding = 388            kernel = 789            count = 1090            final_channels = mid_channels91        # First convolution...

stages.py

Source:stages.py

...4    Carrega a stage cliente5    :param connection: conexÃ£o com o banco de dados6    :return: None7    """8    dwt.create_stage(9        conn_input=connection,10        conn_output=connection,11        schema_in="public",12        table="CLIENTE",13        stg_name="stg_cliente",14        tbl_exists="replace"15    )16def run_stg_endereco(connection):17    """18    Carrega a stage endereco19    :param connection: conexÃ£o com o banco de dados20    :return: None21    """22    dwt.create_stage(23        conn_input=connection,24        conn_output=connection,25        schema_in="public",26        table="ENDERECO",27        stg_name="stg_endereco",28        tbl_exists="replace"29    )30def run_stg_forma_pagamento(connection):31    """32    Carrega a stage forma_pagamento33    :param connection: conexÃ£o com o banco de dados34    :return: None35    """36    dwt.create_stage(37        conn_input=connection,38        conn_output=connection,39        schema_in="public",40        table="FORMA_PAGAMENTO",41        stg_name="stg_forma_pagamento",42        tbl_exists="replace"43    )44def run_stg_funcionario(connection):45    """46    Carrega a stage funcionario47    :param connection: conexÃ£o com o banco de dados48    :return: None49    """50    dwt.create_stage(51        conn_input=connection,52        conn_output=connection,53        schema_in="public",54        table="FUNCIONARIO",55        stg_name="stg_funcionario",56        tbl_exists="replace"57    )58def run_stg_item_venda(connection):59    """60    Carrega a stage item_venda61    :param connection: conexÃ£o com o banco de dados62    :return: None63    """64    dwt.create_stage(65        conn_input=connection,66        conn_output=connection,67        schema_in="public",68        table="ITEM_VENDA",69        stg_name="stg_item_venda",70        tbl_exists="replace"71    )72def run_stg_venda(connection):73    """74    Carrega a stage venda75    :param connection: conexÃ£o com o banco de dados76    :return: None77    """78    dwt.create_stage(79        conn_input=connection,80        conn_output=connection,81        schema_in="public",82        table="VENDA",83        stg_name="stg_venda",84        tbl_exists="replace"...

patient_stage.py

Source:patient_stage.py

...8    for r in Registry.objects.all():9        if r.has_feature(RegistryFeatures.STAGES):10            init_registry_stages_and_rules(r)11def init_registry_stages_and_rules(registry):12        informed_consent = create_stage(registry, 'Informed Consent', None)13        eligibility = create_stage(registry, 'Eligibility', informed_consent)14        pre_screening = create_stage(registry, 'Pre-screening', eligibility)15        screening = create_stage(registry, 'Screening', pre_screening)16        run_in = create_stage(registry, 'Run-in', screening)17        trial = create_stage(registry, 'Trial', run_in)18        _ = create_stage(registry, 'Follow-up', trial)19        if informed_consent and eligibility:20            create_rule(registry, None, 'registered', informed_consent, 1)21            create_rule(registry, informed_consent, 'consented', eligibility, 1)22def create_stage(registry, name, previous_stage):23    stage, created = models.PatientStage.objects.get_or_create(name=name, registry=registry)24    if created and previous_stage:25        stage.allowed_prev_stages.add(previous_stage)26        previous_stage.allowed_next_stages.add(stage)27    return stage if created else None28def create_rule(registry, from_stage, rule, to_stage, order):29    models.PatientStageRule.objects.get_or_create(30        registry=registry,31        from_stage=from_stage, 32        condition=rule, 33        to_stage=to_stage,34        order=order...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.