OSrSSKJr SSKJr SSKJr SSKJr SSKJr SSK J r SSK J r SS K J r SS K J r SS KJr S rS rSr\R&"\R(R*5"SS\R,55r\R&"\R(R0\R(R25"SS\R,55rg)zai-platform predict command.)absolute_import)division)unicode_literals)predict)base) endpoint_util)flags)predict_utilities) region_util)logdcHURSSSS9 URSSS9 URSS9nURS S S9 URS S S9 URS SS9 [R"SS9R U5 [R R U5 g) Register flags for this command.z--modelTzName of the model.)requiredhelpz --versionzModel version to be used. If unspecified, the default version of the model will be used. To list model versions run $ {parent_command} versions list )r)rz--json-requesta, Path to a local file containing the body of JSON request. An example of a JSON request: { "instances": [ {"x": [1, 2], "y": [3, 4]}, {"x": [-1, -2], "y": [-3, -4]} ] } This flag accepts "-" for stdin. z--json-instancesa< Path to a local file from which instances are read. Instances are in JSON format; newline delimited. An example of the JSON instances file: {"images": [0.0, ..., 0.1], "key": 3} {"images": [0.0, ..., 0.1], "key": 2} ... This flag accepts "-" for stdin. z--text-instancesa& Path to a local file from which instances are read. Instances are in UTF-8 encoded text format; newline delimited. An example of the text instances file: 107,4.9,2.5,4.5,1.7 100,5.7,2.8,4.1,1.3 ... This flag accepts "-" for stdin. )include_globalN) add_argumentadd_mutually_exclusive_groupr GetRegionArg AddToParserSIGNATURE_NAME)parsergroups "lib/surface/ai_platform/predict.py_AddPredictArgsr si$5IJ    - -t - <%        D)55f=""6*c[R"URURUR[ S9n[ R"U5n[R"US9 [R"URUR5nURcO[R"URUR5(a[R R#S5 [$R&"X1URS9nSSS5 UR)S5(d*[R*"WR-S55UlW$!,(df  NP=f)zThis is what gets called when the user runs this command. Args: args: an argparse namespace. All the arguments that were provided to this command invocation. Returns: A json object that contains predictions. )limit)regionNzYou are running on a runtime version >= 1.8. If the signature defined in the model is not serving_default then you must specify it via --signature-name flag, otherwise the command may fail.)signature_nameformat predictions)r ReadInstancesFromArgs json_requestjson_instancestext_instancesINPUT_INSTANCES_LIMITr GetRegionrMlEndpointOverridesParseModelOrVersionRefmodelversionr CheckRuntimeVersionr statusPrintrPredict IsSpecifiedGetDefaultFormatgetr!)args instancesrmodel_or_version_refresultss r_Runr8_s 55    ! #)   &&((7,CC DLL" #--djj$,,GG jj CD oo8K8KMG8   ( # ##44 M"$DK .%87s $B'E E#c.\rSrSrSr\S5rSrSrg)r0}Run AI Platform online prediction. `{command}` sends a prediction request to AI Platform for the given instances. This command will read up to 100 instances, though the service itself will accept instances up to the payload limit size (currently, 1.5MB). If you are predicting on more instances, you should use batch prediction via $ {parent_command} jobs submit prediction. c[U5 grNrrs rArgs Predict.Args Frc[U5$Nr8selfr4s rRun Predict.Run :rN __name__ __module__ __qualname____firstlineno____doc__ staticmethodr@rH__static_attributes__rKrrr0r0  rr0c.\rSrSrSr\S5rSrSrg) PredictBetar;c[U5 gr=r>r?s rr@PredictBeta.ArgsrBrc[U5$rDrErFs rrHPredictBeta.RunrJrrKNrLrKrrrVrVrTrrVN)rQ __future__rrr googlecloudsdk.api_lib.ml_enginergooglecloudsdk.callioper$googlecloudsdk.command_lib.ml_enginerr r r googlecloudsdk.corer r'rr8 ReleaseTracks ReleaseTrackGACommandr0ALPHABETArVrKrrrgs#&'4(>6B<#<+~#LD%%(()dll**D%%++T->->-C-CD$,,Er