How to use _get_execution_info method in autotest

Best Python code snippet using autotest_python

AndoridDataAnalyzer.py

Source:AndoridDataAnalyzer.py Github

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...56 starttimes.append(read_time_from_logcat(_folder, package_name, activity_name))57 # print(starttimes)58 return starttimes59 #60 # def _get_execution_info(self):61 # return self.datasets_map.get('execution_info')62 #63 # def get_header_text(self):64 # return self._get_execution_info().get('header_text')65 #66 # def get_package_name(self):67 # return self._get_execution_info().get('package_name')68 #69 # def get_activity_name(self):70 # return self._get_execution_info().get('activity_name')71 #72 # def get_app_label(self):73 # return self._get_execution_info().get('app_label')74 #75 # def get_counters_list(self):76 # return self.datasets_map[COUNTERS]77 #78 # def get_test_types(self):79 # return self.datasets_map.get('test_types')80 #81 # def get_test_type(self, index):82 # return self.get_test_types()[index]83 #84 # def _get_translations(self):85 # return self.datasets_map.get('translations')86 #87 # def translate(self, item):...

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python_executor_operator_test.py

Source:python_executor_operator_test.py Github

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...56 model.name = '{0}.{1}.my_model'.format(57 self._context.pipeline_info.id,58 self._context.pipeline_node.node_info.id)59class PythonExecutorOperatorTest(test_case_utils.TfxTest):60 def _get_execution_info(self, input_dict, output_dict, exec_properties):61 pipeline_node = pipeline_pb2.PipelineNode(node_info={'id': 'MyPythonNode'})62 pipeline_info = pipeline_pb2.PipelineInfo(id='MyPipeline')63 stateful_working_dir = os.path.join(self.tmp_dir, 'stateful_working_dir')64 executor_output_uri = os.path.join(self.tmp_dir, 'executor_output')65 return data_types.ExecutionInfo(66 execution_id=1,67 input_dict=input_dict,68 output_dict=output_dict,69 exec_properties=exec_properties,70 stateful_working_dir=stateful_working_dir,71 execution_output_uri=executor_output_uri,72 pipeline_node=pipeline_node,73 pipeline_info=pipeline_info,74 pipeline_run_id=99)75 def testRunExecutor_with_InprocessExecutor(self):76 executor_sepc = text_format.Parse(77 """78 class_path: "tfx.orchestration.portable.python_executor_operator_test.InprocessExecutor"79 """, executable_spec_pb2.PythonClassExecutableSpec())80 operator = python_executor_operator.PythonExecutorOperator(executor_sepc)81 input_dict = {'input_key': [standard_artifacts.Examples()]}82 output_dict = {'output_key': [standard_artifacts.Model()]}83 exec_properties = {'key': 'value'}84 executor_output = operator.run_executor(85 self._get_execution_info(input_dict, output_dict, exec_properties))86 self.assertProtoPartiallyEquals(87 """88 execution_properties {89 key: "key"90 value {91 string_value: "value"92 }93 }94 output_artifacts {95 key: "output_key"96 value {97 artifacts {98 }99 }100 }""", executor_output)101 def testRunExecutor_with_NotInprocessExecutor(self):102 executor_sepc = text_format.Parse(103 """104 class_path: "tfx.orchestration.portable.python_executor_operator_test.NotInprocessExecutor"105 """, executable_spec_pb2.PythonClassExecutableSpec())106 operator = python_executor_operator.PythonExecutorOperator(executor_sepc)107 input_dict = {'input_key': [standard_artifacts.Examples()]}108 output_dict = {'output_key': [standard_artifacts.Model()]}109 exec_properties = {'key': 'value'}110 executor_output = operator.run_executor(111 self._get_execution_info(input_dict, output_dict, exec_properties))112 self.assertProtoPartiallyEquals(113 """114 execution_properties {115 key: "key"116 value {117 string_value: "value"118 }119 }120 output_artifacts {121 key: "output_key"122 value {123 artifacts {124 }125 }126 }""", executor_output)127 def testRunExecutor_with_InplaceUpdateExecutor(self):128 executor_sepc = text_format.Parse(129 """130 class_path: "tfx.orchestration.portable.python_executor_operator_test.InplaceUpdateExecutor"131 """, executable_spec_pb2.PythonClassExecutableSpec())132 operator = python_executor_operator.PythonExecutorOperator(executor_sepc)133 input_dict = {'input_key': [standard_artifacts.Examples()]}134 output_dict = {'output_key': [standard_artifacts.Model()]}135 exec_properties = {136 'string': 'value',137 'int': 1,138 'float': 0.0,139 # This should not happen on production and will be140 # dropped.141 'proto': execution_result_pb2.ExecutorOutput()142 }143 executor_output = operator.run_executor(144 self._get_execution_info(input_dict, output_dict, exec_properties))145 self.assertProtoPartiallyEquals(146 """147 execution_properties {148 key: "float"149 value {150 double_value: 0.0151 }152 }153 execution_properties {154 key: "int"155 value {156 int_value: 1157 }158 }...

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