{
   "components":{
      "comp-gethyperparametersop":{
         "executorLabel":"exec-gethyperparametersop",
         "inputDefinitions":{
            "parameters":{
               "trial":{
                  "parameterType":"STRING"
               }
            }
         },
         "outputDefinitions":{
            "parameters":{
               "Output":{
                  "parameterType":"LIST"
               }
            }
         }
      }
   },
   "deploymentSpec":{
      "executors":{
         "exec-gethyperparametersop":{
            "container":{
               "args":[
                  "--executor_input",
                  "{{$}}",
                  "--function_to_execute",
                  "GetHyperparametersOp"
               ],
               "command":[
                  "sh",
                  "-c",
                  "\nif ! [ -x \"$(command -v pip)\" ]; then\n    python3 -m ensurepip || python3 -m ensurepip --user || apt-get install python3-pip\nfi\n\nPIP_DISABLE_PIP_VERSION_CHECK=1 python3 -m pip install --quiet     --no-warn-script-location 'google-cloud-aiplatform' 'kfp==2.0.0-alpha.0' && \"$0\" \"$@\"\n",
                  "sh",
                  "-ec",
                  "program_path=$(mktemp -d)\nprintf \"%s\" \"$0\" > \"$program_path/ephemeral_component.py\"\npython3 -m kfp.v2.components.executor_main                         --component_module_path                         \"$program_path/ephemeral_component.py\"                         \"$@\"\n",
                  "\nimport kfp\nfrom kfp.v2 import dsl\nfrom kfp.v2.dsl import *\nfrom typing import *\n\ndef GetHyperparametersOp(trial: str) -> list:\n  \"\"\"Retrieves the hyperparameters from the given trial.\n\n  Args:\n      trial (str):\n        Required. The intermediate JSON representation of a\n        hyperparameter tuning job trial.\n\n  Returns:\n      List representing the intermediate JSON representation of the\n      hyperparameters from the trial.\n  \"\"\"\n  from google.cloud.aiplatform.aiplatform_v1.types import study\n\n  trial_proto = study.Trial.from_json(trial)\n\n  return [\n      study.Trial.Parameter.to_json(param) for param in trial_proto.parameters\n  ]\n\n"
               ],
               "image":"python:3.7"
            }
         }
      }
   },
   "pipelineInfo":{
      "name":"get-hyperparameters-op-test"
   },
   "root":{
      "dag":{
         "tasks":{
            "gethyperparametersop":{
               "cachingOptions":{
                  "enableCache":true
               },
               "componentRef":{
                  "name":"comp-gethyperparametersop"
               },
               "inputs":{
                  "parameters":{
                     "trial":{
                        "runtimeValue":{
                           "constant":"{\n \"id\": \"1\",\n \"state\": 4,\n \"parameters\": [\n {\n \"parameterId\": \"learning_rate\",\n \"value\": 0.03162277660168379\n },\n {\n \"parameterId\": \"momentum\",\n \"value\": 0.5\n },\n {\n \"parameterId\": \"num_neurons\",\n \"value\": 128.0\n }\n ],\n \"finalMeasurement\": {\n \"stepCount\": \"10\",\n \"metrics\": [\n {\n \"metricId\": \"accuracy\",\n \"value\": 0.734375\n }\n ]\n },\n \"startTime\": \"2021-12-10T00:41:57.675086142Z\",\n \"endTime\": \"2021-12-10T00:52:35Z\",\n \"name\": \"\",\n \"measurements\": [],\n \"clientId\": \"\",\n \"infeasibleReason\": \"\",\n \"customJob\": \"\"\n}"
                        }
                     }
                  }
               },
               "taskInfo":{
                  "name":"gethyperparametersop"
               }
            }
         }
      }
   }
}
