python/pyspark/sql/connect/proto/ml_common_pb2.py - master - githubmirror/spark

python/pyspark/sql/connect/proto/ml_common_pb2.py
67 строк4 KB
Tian Gao
[SPARK-56018][PYTHON] Use ruff as formatter
20 мар 2026, 01:20
20 мар 2026, 01:20eac3fe3
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# NO CHECKED-IN PROTOBUF GENCODE
# source: spark/connect/ml_common.proto
# Protobuf Python Version: 6.33.5
"""Generated protocol buffer code."""

from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import runtime_version as _runtime_version
from google.protobuf import symbol_database as _symbol_database
from google.protobuf.internal import builder as _builder

_runtime_version.ValidateProtobufRuntimeVersion(
    _runtime_version.Domain.PUBLIC, 6, 33, 5, "", "spark/connect/ml_common.proto"
)
# @@protoc_insertion_point(imports)

_sym_db = _symbol_database.Default()


from pyspark.sql.connect.proto import expressions_pb2 as spark_dot_connect_dot_expressions__pb2


DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(
    b'\n\x1dspark/connect/ml_common.proto\x12\rspark.connect\x1a\x1fspark/connect/expressions.proto"\xa5\x01\n\x08MlParams\x12;\n\x06params\x18\x01 \x03(\x0b\x32#.spark.connect.MlParams.ParamsEntryR\x06params\x1a\\\n\x0bParamsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x37\n\x05value\x18\x02 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x05value:\x02\x38\x01"\x90\x02\n\nMlOperator\x12\x12\n\x04name\x18\x01 \x01(\tR\x04name\x12\x10\n\x03uid\x18\x02 \x01(\tR\x03uid\x12:\n\x04type\x18\x03 \x01(\x0e\x32&.spark.connect.MlOperator.OperatorTypeR\x04type"\x9f\x01\n\x0cOperatorType\x12\x1d\n\x19OPERATOR_TYPE_UNSPECIFIED\x10\x00\x12\x1b\n\x17OPERATOR_TYPE_ESTIMATOR\x10\x01\x12\x1d\n\x19OPERATOR_TYPE_TRANSFORMER\x10\x02\x12\x1b\n\x17OPERATOR_TYPE_EVALUATOR\x10\x03\x12\x17\n\x13OPERATOR_TYPE_MODEL\x10\x04"\x1b\n\tObjectRef\x12\x0e\n\x02id\x18\x01 \x01(\tR\x02idB6\n\x1eorg.apache.spark.connect.protoP\x01Z\x12internal/generatedb\x06proto3'
)

_globals = globals()
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
_builder.BuildTopDescriptorsAndMessages(
    DESCRIPTOR, "pyspark.sql.connect.proto.ml_common_pb2", _globals
)
if not _descriptor._USE_C_DESCRIPTORS:
    _globals["DESCRIPTOR"]._loaded_options = None
    _globals[
        "DESCRIPTOR"
    ]._serialized_options = b"\n\036org.apache.spark.connect.protoP\001Z\022internal/generated"
    _globals["_MLPARAMS_PARAMSENTRY"]._loaded_options = None
    _globals["_MLPARAMS_PARAMSENTRY"]._serialized_options = b"8\001"
    _globals["_MLPARAMS"]._serialized_start = 82
    _globals["_MLPARAMS"]._serialized_end = 247
    _globals["_MLPARAMS_PARAMSENTRY"]._serialized_start = 155
    _globals["_MLPARAMS_PARAMSENTRY"]._serialized_end = 247
    _globals["_MLOPERATOR"]._serialized_start = 250
    _globals["_MLOPERATOR"]._serialized_end = 522
    _globals["_MLOPERATOR_OPERATORTYPE"]._serialized_start = 363
    _globals["_MLOPERATOR_OPERATORTYPE"]._serialized_end = 522
    _globals["_OBJECTREF"]._serialized_start = 524
    _globals["_OBJECTREF"]._serialized_end = 551
# @@protoc_insertion_point(module_scope)