wehub-resource-sync
99 lines
6.8 KiB
Python
Generated
99 lines
6.8 KiB
Python
Generated
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import google.protobuf
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from packaging.version import Version
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if Version(google.protobuf.__version__).major >= 5:
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# -*- coding: utf-8 -*-
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# Generated by the protocol buffer compiler. DO NOT EDIT!
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# source: datasets.proto
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# Protobuf Python Version: 5.26.0
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"""Generated protocol buffer code."""
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from google.protobuf import descriptor as _descriptor
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from google.protobuf import descriptor_pool as _descriptor_pool
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from google.protobuf import symbol_database as _symbol_database
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from google.protobuf.internal import builder as _builder
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# @@protoc_insertion_point(imports)
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_sym_db = _symbol_database.Default()
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DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x0e\x64\x61tasets.proto\x12\x0fmlflow.datasets\"\xdf\x01\n\x07\x44\x61taset\x12\x12\n\ndataset_id\x18\x01 \x01(\t\x12\x0c\n\x04name\x18\x02 \x01(\t\x12\x0c\n\x04tags\x18\x03 \x01(\t\x12\x0e\n\x06schema\x18\x04 \x01(\t\x12\x0f\n\x07profile\x18\x05 \x01(\t\x12\x0e\n\x06\x64igest\x18\x06 \x01(\t\x12\x14\n\x0c\x63reated_time\x18\x07 \x01(\x03\x12\x18\n\x10last_update_time\x18\x08 \x01(\x03\x12\x12\n\ncreated_by\x18\t \x01(\t\x12\x17\n\x0flast_updated_by\x18\n \x01(\t\x12\x16\n\x0e\x65xperiment_ids\x18\x0b \x03(\t\"\xc9\x02\n\rDatasetRecord\x12\x19\n\x11\x64\x61taset_record_id\x18\x01 \x01(\t\x12\x12\n\ndataset_id\x18\x02 \x01(\t\x12\x0e\n\x06inputs\x18\x03 \x01(\t\x12\x14\n\x0c\x65xpectations\x18\x04 \x01(\t\x12\x0c\n\x04tags\x18\x05 \x01(\t\x12\x0e\n\x06source\x18\x06 \x01(\t\x12\x11\n\tsource_id\x18\x07 \x01(\t\x12\x44\n\x0bsource_type\x18\x08 \x01(\x0e\x32/.mlflow.datasets.DatasetRecordSource.SourceType\x12\x14\n\x0c\x63reated_time\x18\t \x01(\x03\x12\x18\n\x10last_update_time\x18\n \x01(\x03\x12\x12\n\ncreated_by\x18\x0b \x01(\t\x12\x17\n\x0flast_updated_by\x18\x0c \x01(\t\x12\x0f\n\x07outputs\x18\r \x01(\t\"\xc9\x01\n\x13\x44\x61tasetRecordSource\x12\x44\n\x0bsource_type\x18\x01 \x01(\x0e\x32/.mlflow.datasets.DatasetRecordSource.SourceType\x12\x13\n\x0bsource_data\x18\x02 \x01(\t\"W\n\nSourceType\x12\x1b\n\x17SOURCE_TYPE_UNSPECIFIED\x10\x00\x12\t\n\x05TRACE\x10\x01\x12\t\n\x05HUMAN\x10\x02\x12\x0c\n\x08\x44OCUMENT\x10\x03\x12\x08\n\x04\x43ODE\x10\x04\x42\x19\n\x14org.mlflow.api.proto\x90\x01\x01')
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_globals = globals()
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_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
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_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'datasets_pb2', _globals)
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if not _descriptor._USE_C_DESCRIPTORS:
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_globals['DESCRIPTOR']._loaded_options = None
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_globals['DESCRIPTOR']._serialized_options = b'\n\024org.mlflow.api.proto\220\001\001'
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_globals['_DATASET']._serialized_start=36
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_globals['_DATASET']._serialized_end=259
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_globals['_DATASETRECORD']._serialized_start=262
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_globals['_DATASETRECORD']._serialized_end=591
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_globals['_DATASETRECORDSOURCE']._serialized_start=594
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_globals['_DATASETRECORDSOURCE']._serialized_end=795
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_globals['_DATASETRECORDSOURCE_SOURCETYPE']._serialized_start=708
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_globals['_DATASETRECORDSOURCE_SOURCETYPE']._serialized_end=795
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# @@protoc_insertion_point(module_scope)
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else:
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# -*- coding: utf-8 -*-
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# Generated by the protocol buffer compiler. DO NOT EDIT!
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# source: datasets.proto
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"""Generated protocol buffer code."""
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from google.protobuf import descriptor as _descriptor
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from google.protobuf import descriptor_pool as _descriptor_pool
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from google.protobuf import message as _message
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from google.protobuf import reflection as _reflection
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from google.protobuf import symbol_database as _symbol_database
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# @@protoc_insertion_point(imports)
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_sym_db = _symbol_database.Default()
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DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x0e\x64\x61tasets.proto\x12\x0fmlflow.datasets\"\xdf\x01\n\x07\x44\x61taset\x12\x12\n\ndataset_id\x18\x01 \x01(\t\x12\x0c\n\x04name\x18\x02 \x01(\t\x12\x0c\n\x04tags\x18\x03 \x01(\t\x12\x0e\n\x06schema\x18\x04 \x01(\t\x12\x0f\n\x07profile\x18\x05 \x01(\t\x12\x0e\n\x06\x64igest\x18\x06 \x01(\t\x12\x14\n\x0c\x63reated_time\x18\x07 \x01(\x03\x12\x18\n\x10last_update_time\x18\x08 \x01(\x03\x12\x12\n\ncreated_by\x18\t \x01(\t\x12\x17\n\x0flast_updated_by\x18\n \x01(\t\x12\x16\n\x0e\x65xperiment_ids\x18\x0b \x03(\t\"\xc9\x02\n\rDatasetRecord\x12\x19\n\x11\x64\x61taset_record_id\x18\x01 \x01(\t\x12\x12\n\ndataset_id\x18\x02 \x01(\t\x12\x0e\n\x06inputs\x18\x03 \x01(\t\x12\x14\n\x0c\x65xpectations\x18\x04 \x01(\t\x12\x0c\n\x04tags\x18\x05 \x01(\t\x12\x0e\n\x06source\x18\x06 \x01(\t\x12\x11\n\tsource_id\x18\x07 \x01(\t\x12\x44\n\x0bsource_type\x18\x08 \x01(\x0e\x32/.mlflow.datasets.DatasetRecordSource.SourceType\x12\x14\n\x0c\x63reated_time\x18\t \x01(\x03\x12\x18\n\x10last_update_time\x18\n \x01(\x03\x12\x12\n\ncreated_by\x18\x0b \x01(\t\x12\x17\n\x0flast_updated_by\x18\x0c \x01(\t\x12\x0f\n\x07outputs\x18\r \x01(\t\"\xc9\x01\n\x13\x44\x61tasetRecordSource\x12\x44\n\x0bsource_type\x18\x01 \x01(\x0e\x32/.mlflow.datasets.DatasetRecordSource.SourceType\x12\x13\n\x0bsource_data\x18\x02 \x01(\t\"W\n\nSourceType\x12\x1b\n\x17SOURCE_TYPE_UNSPECIFIED\x10\x00\x12\t\n\x05TRACE\x10\x01\x12\t\n\x05HUMAN\x10\x02\x12\x0c\n\x08\x44OCUMENT\x10\x03\x12\x08\n\x04\x43ODE\x10\x04\x42\x19\n\x14org.mlflow.api.proto\x90\x01\x01')
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_DATASET = DESCRIPTOR.message_types_by_name['Dataset']
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_DATASETRECORD = DESCRIPTOR.message_types_by_name['DatasetRecord']
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_DATASETRECORDSOURCE = DESCRIPTOR.message_types_by_name['DatasetRecordSource']
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_DATASETRECORDSOURCE_SOURCETYPE = _DATASETRECORDSOURCE.enum_types_by_name['SourceType']
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Dataset = _reflection.GeneratedProtocolMessageType('Dataset', (_message.Message,), {
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'DESCRIPTOR' : _DATASET,
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'__module__' : 'datasets_pb2'
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# @@protoc_insertion_point(class_scope:mlflow.datasets.Dataset)
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})
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_sym_db.RegisterMessage(Dataset)
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DatasetRecord = _reflection.GeneratedProtocolMessageType('DatasetRecord', (_message.Message,), {
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'DESCRIPTOR' : _DATASETRECORD,
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'__module__' : 'datasets_pb2'
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# @@protoc_insertion_point(class_scope:mlflow.datasets.DatasetRecord)
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})
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_sym_db.RegisterMessage(DatasetRecord)
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DatasetRecordSource = _reflection.GeneratedProtocolMessageType('DatasetRecordSource', (_message.Message,), {
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'DESCRIPTOR' : _DATASETRECORDSOURCE,
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'__module__' : 'datasets_pb2'
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# @@protoc_insertion_point(class_scope:mlflow.datasets.DatasetRecordSource)
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})
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_sym_db.RegisterMessage(DatasetRecordSource)
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if _descriptor._USE_C_DESCRIPTORS == False:
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DESCRIPTOR._options = None
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DESCRIPTOR._serialized_options = b'\n\024org.mlflow.api.proto\220\001\001'
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_DATASET._serialized_start=36
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_DATASET._serialized_end=259
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_DATASETRECORD._serialized_start=262
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_DATASETRECORD._serialized_end=591
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_DATASETRECORDSOURCE._serialized_start=594
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_DATASETRECORDSOURCE._serialized_end=795
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_DATASETRECORDSOURCE_SOURCETYPE._serialized_start=708
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_DATASETRECORDSOURCE_SOURCETYPE._serialized_end=795
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# @@protoc_insertion_point(module_scope)
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