12.3.3.26 ?: expressions

博客围绕?:表达式展开,阐述了对于expr-cond? expr-true : expr-false形式的表达式,变量v在expr-cond之前的确定赋值状态与在expr之前相同,还说明了v在expr-true和expr-false之前确定赋值的条件。
12.3.3.26 ?: expressions
For an expression expr of the form expr-cond ? expr-true : expr-false:
?The definite assignment state of v before expr-cond is the same as the
state of v before expr.
?The definite assignment state of v before expr-true is definitely
assigned if and only if the state of v
after expr-cond is definitely assigned or .definitely assigned after true
expression..
?The definite assignment state of v before expr-false is definitely
assigned if and only if the state of v
after expr-cond is definitely assigned or .definitely assigned after false
expression..
基于可靠性评估序贯蒙特卡洛模拟法的配电网可靠性评估研究(Matlab代码实现)内容概要:本文围绕“基于可靠性评估序贯蒙特卡洛模拟法的配电网可靠性评估研究”,介绍了利用Matlab代码实现配电网可靠性的仿真分析方法。重点采用序贯蒙特卡洛模拟法对配电网进行长时间段的状态抽样与统计,通过模拟系统元件的故障与修复过程,评估配电网的关键可靠性指标,如系统停电频率、停电持续时间、负荷点可靠性等。该方法能够有效处理复杂网络结构与设备时序特性,提升评估精度,适用于含分布式电源、电动汽车等新型负荷接入的现代配电网。文中提供了完整的Matlab实现代码与案例分析,便于复现和扩展应用。; 适合人群:具备电力系统基础知识和Matlab编程能力的高校研究生、科研人员及电力行业技术人员,尤其适合从事配电网规划、运行与可靠性分析相关工作的人员; 使用场景及目标:①掌握序贯蒙特卡洛模拟法在电力系统可靠性评估中的基本原理与实现流程;②学习如何通过Matlab构建配电网仿真模型并进行状态转移模拟;③应用于含新能源接入的复杂配电网可靠性定量评估与优化设计; 阅读建议:建议结合文中提供的Matlab代码逐段调试运行,理解状态抽样、故障判断、修复逻辑及指标统计的具体实现方式,同时可扩展至不同网络结构或加入更多不确定性因素进行深化研究。
执行账户:jingrui.tian。com.msxf.dsp.task.exception.TaskException: kyuubi任务执行失败,appId:application_1765164774660_66014,appUrl:http://bigdata-34-246.dlakehadoop.jhy-xly.hadoop:8088/proxy/application_1765164774660_66014/,appDiagnostic:User class threw exception: java.lang.IllegalStateException: Executing sql failed at SparkSqlExecutor.main(SparkSqlExecutor.java:42) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:75) at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:52) at java.base/java.lang.reflect.Method.invoke(Method.java:580) at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:738) Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 36.0 failed 2 times, most recent failure: Lost task 0.1 in stage 36.0 (TID 83358) (bigdata-50-4.dlakehadoop.jhy-xly.hadoop executor 2): org.apache.spark.SparkRuntimeException: [INVALID_PARAMETER_VALUE.PATTERN] The value of parameter(s) `regexp` in `regexp_extract` is invalid: '????\\-(.*?)(?:\\-|$)'. at org.apache.spark.sql.errors.QueryExecutionErrors$.invalidPatternError(QueryExecutionErrors.scala:2620) at org.apache.spark.sql.errors.QueryExecutionErrors.invalidPatternError(QueryExecutionErrors.scala) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage47.hashAgg_doAggregateWithKeysOutput_0$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage47.hashAgg_doAggregateWithKeys_0$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage47.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEva
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