How to use test_hierarchical_parameter method in localstack

Best Python code snippet using localstack_python

test_ssm.py

Source:test_ssm.py Github

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...15 Type='String',16 )17 self._assert('test_put', 'test_put')18 self._assert('/test_put', 'test_put')19 def test_hierarchical_parameter(self):20 ssm_client = aws_stack.connect_to_service('ssm')21 ssm_client.put_parameter(22 Name='/a/b/c',23 Value='123',24 Type='String',25 )26 self._assert('/a/b/c', '/a/b/c')27 self._assert('/a//b//c', '/a/b/c')28 self._assert('a/b//c', '/a/b/c')29 def test_get_secret_parameter(self):30 ssm_client = aws_stack.connect_to_service('ssm')31 sec_client = aws_stack.connect_to_service('secretsmanager')32 secret_name = 'test_secret'33 sec_client.create_secret(...

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test_reporting_utilities.py

Source:test_reporting_utilities.py Github

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...25 assert d[model.sub.sub2.linear] == 'Root/Sub1_0/Sub2_2/Linear_0'26 assert d[model.sub.sub2] == 'Root/Sub1_0/Sub2_2'27 assert d[model.sub] == 'Root/Sub1_0'28 assert d[model] == 'Root'29 def test_hierarchical_parameter(self):30 model = Root()31 d = trw.utils.collect_hierarchical_parameter_name('Root', model, with_grad_only=True)32 module_d = dict(model.sub.conv1.named_parameters(recurse=False))33 assert d[module_d['weight']] == 'Root/Sub1_0/Conv2d_0/weight'34 assert d[module_d['bias']] == 'Root/Sub1_0/Conv2d_0/bias'35 module_d = dict(model.sub.conv2.named_parameters(recurse=False))36 assert d[module_d['weight']] == 'Root/Sub1_0/Conv2d_1/weight'37 assert d[module_d['bias']] == 'Root/Sub1_0/Conv2d_1/bias'38 module_d = dict(model.sub.sub2.linear.named_parameters(recurse=False))39 assert d[module_d['weight']] == 'Root/Sub1_0/Sub2_2/Linear_0/weight'...

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test_amps.py

Source:test_amps.py Github

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...12 assert SAMPLED_SCENARIO["string_parameter"] == "string"13def test_list_parameter():14 assert NOMINAL_SCENARIO["list_parameter"] == ["item_1", "item_2", "item_3"]15 assert SAMPLED_SCENARIO["list_parameter"] == ["item_1", "item_2", "item_3"]16def test_hierarchical_parameter():17 assert NOMINAL_SCENARIO["hierarchical_parameter"]["one"]["A"] == 118 assert NOMINAL_SCENARIO["hierarchical_parameter"]["two"]["B"] == 419 assert SAMPLED_SCENARIO["hierarchical_parameter"]["one"]["A"] == 120 assert SAMPLED_SCENARIO["hierarchical_parameter"]["two"]["B"] == 421def test_relative_deterministic_parameter():22 assert NOMINAL_SCENARIO["relative_deterministic_parameter"] == 1623 assert SAMPLED_SCENARIO["relative_deterministic_parameter"] == 1624def test_relative_stochastic_parameter():25 assert NOMINAL_SCENARIO["relative_stochastic_parameter"] == 0.2526 assert SAMPLED_SCENARIO["relative_stochastic_parameter"] <= 0.527def test_log_scale():...

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