A9ID/A9IC

最新推荐文章于 2021-01-20 14:38:58 发布
原创 最新推荐文章于 2021-01-20 14:38:58 发布 · 108 阅读 · 0 ·
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#Google

第一版的A9ID 和A9IC已经出炉了.

定义如下

 http://code.google.com/p/a9zone/wiki/A9ID

 http://code.google.com/p/a9zone/wiki/A9IC

源代码

自己从服务器上下载，看看能不能编译通过.

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"); width: 25px; height: 20px; } a[href$=".pdf"]{ color:greenyellow; } </style> </head> <body> <ul> <li><a href=".docx">春.docx</a></li> <li><a href=".pdf">夏.pdf</a></li> <li><a href=".docx">秋.docx</a></li> <li><a href=".pdf">冬.pdf</a></li> <li><a href=".docx">四季.docx</a></li> </ul> </body> </html>我这个图片大小怎么缩小
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package gs8 import org.apache.log4j.{Level, Logger} import org.apache.spark.sql.{SparkSession, DataFrame} import org.apache.spark.ml.feature.VectorAssembler import org.apache.spark.ml.Pipeline import org.apache.spark.ml.classification.RandomForestClassifier import org.apache.spark.sql.functions.col import java.util.Properties object shujuwaqu2 { def main(args: Array[String]): Unit = { val spark = SparkSession.builder() .appName("RandomForestModel") .master("local[*]") .enableHiveSupport() .getOrCreate() Logger.getLogger("org").setLevel(Level.ERROR) import spark.implicits._ val trainDF = spark.sql("SELECT * FROM dwd.fact_machine_learning_data WHERE machine_record_state IS NOT NULL") .withColumn("machine_record_id", $"machine_record_id".cast("LongType")) val featureCols = Array( "machine_record_mainshaft_speed", "machine_record_mainshaft_multiplerate", "machine_record_mainshaft_load", "machine_record_feed_speed", "machine_record_feed_multiplerate", "machine_record_pmc_code", "machine_record_circle_time", "machine_record_run_time", "machine_record_effective_shaft", "machine_record_amount_process", "machine_record_use_memory", "machine_record_free_memory", "machine_record_amount_use_code", "machine_record_amount_free_code" ) val assembler = new VectorAssembler() .setInputCols(featureCols) .setOutputCol("features") val trainData = assembler.transform(trainDF) .select($"machine_record_state".alias("label"), $"features") val rf = new RandomForestClassifier() .setLabelCol("label") .setFeaturesCol("features") .setNumTrees(20) .setMaxDepth(8) val pipeline = new Pipeline().setStages(Array(rf)) val model = pipeline.fit(trainData) println("随机森林模型训练完成！") val testDF = spark.sql("SELECT * FROM dwd.fact_machine_learning_data_test") .withColumn("machine_record_id", $"machine_record_id".cast("LongType")) val testData = assembler.transform(testDF) .select($"machine_record_id", $"features") val predictions = model.transform(testData) .select($"machine_record_id", $"prediction".alias("machine_record_state")) println("预测完成，前5条结果：") predictions.show(5, truncate = false) val url = "jdbc:mysql://xueai:3306/shtd_industry?useSSL=false&serverTimezone=UTC" val props = new Properties() props.put("user", "root") props.put("password", "admin") props.put("driver", "com.mysql.jdbc.Driver") predictions.write .mode("overwrite") .jdbc(url, "ml_result", props) println("预测结果已成功写入 MySQL 表 ml_result！") println("Hive 中 dwd.fact_machine_learning_data_test 预测完毕。") println("请在 MySQL 中执行以下查询语句查看结果：") println( """ |SELECT * FROM ml_result |WHERE machine_record_id IN (1,8,20,28,36); |""".stripMargin) spark.stop() } } 报错/usr/local/jdk1.8.0_341/bin/java -javaagent:/opt/idea-IC-223.8836.41/lib/idea_rt.jar=37031:/opt/idea-IC-223.8836.41/bin -Dfile.encoding=UTF-8 -classpath 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client-common-3.1.3.jar:/usr/local/src/repo/org/apache/hadoop/hadoop-annotations/3.1.3/hadoop-annotations-3.1.3.jar:/usr/local/src/repo/org/apache/hadoop/hadoop-auth/3.1.3/hadoop-auth-3.1.3.jar:/usr/local/src/repo/com/nimbusds/nimbus-jose-jwt/4.41.1/nimbus-jose-jwt-4.41.1.jar:/usr/local/src/repo/com/github/stephenc/jcip/jcip-annotations/1.0-1/jcip-annotations-1.0-1.jar:/usr/local/src/repo/net/minidev/json-smart/2.3/json-smart-2.3.jar:/usr/local/src/repo/net/minidev/accessors-smart/1.2/accessors-smart-1.2.jar:/usr/local/src/repo/org/ow2/asm/asm/5.0.4/asm-5.0.4.jar:/usr/local/src/repo/org/apache/curator/curator-framework/2.13.0/curator-framework-2.13.0.jar:/usr/local/src/repo/org/apache/kerby/kerb-simplekdc/1.0.1/kerb-simplekdc-1.0.1.jar:/usr/local/src/repo/org/apache/kerby/kerb-client/1.0.1/kerb-client-1.0.1.jar:/usr/local/src/repo/org/apache/kerby/kerby-config/1.0.1/kerby-config-1.0.1.jar:/usr/local/src/repo/org/apache/kerby/kerb-core/1.0.1/kerb-core-1.0.1.jar:/usr/local/src/repo/org/apache/kerby/kerby-pkix/1.0.1/kerby-pkix-1.0.1.jar:/usr/local/src/repo/org/apache/kerby/kerby-asn1/1.0.1/kerby-asn1-1.0.1.jar:/usr/local/src/repo/org/apache/kerby/kerby-util/1.0.1/kerby-util-1.0.1.jar:/usr/local/src/repo/org/apache/kerby/kerb-common/1.0.1/kerb-common-1.0.1.jar:/usr/local/src/repo/org/apache/kerby/kerb-crypto/1.0.1/kerb-crypto-1.0.1.jar:/usr/local/src/repo/org/apache/kerby/kerb-util/1.0.1/kerb-util-1.0.1.jar:/usr/local/src/repo/org/apache/kerby/token-provider/1.0.1/token-provider-1.0.1.jar:/usr/local/src/repo/org/apache/kerby/kerb-admin/1.0.1/kerb-admin-1.0.1.jar:/usr/local/src/repo/org/apache/kerby/kerb-server/1.0.1/kerb-server-1.0.1.jar:/usr/local/src/repo/org/apache/kerby/kerb-identity/1.0.1/kerb-identity-1.0.1.jar:/usr/local/src/repo/org/apache/kerby/kerby-xdr/1.0.1/kerby-xdr-1.0.1.jar:/usr/local/src/repo/com/google/guava/guava/27.0-jre/guava-27.0-jre.jar:/usr/local/src/repo/com/google/guava/failureaccess/1.0/failureaccess-1.0.jar:/usr/local/src/repo/com/google/guava/listenablefuture/9999.0-empty-to-avoid-conflict-with-guava/listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar:/usr/local/src/repo/org/checkerframework/checker-qual/2.5.2/checker-qual-2.5.2.jar:/usr/local/src/repo/com/google/errorprone/error_prone_annotations/2.2.0/error_prone_annotations-2.2.0.jar:/usr/local/src/repo/com/google/j2objc/j2objc-annotations/1.1/j2objc-annotations-1.1.jar:/usr/local/src/repo/org/codehaus/mojo/animal-sniffer-annotations/1.17/animal-sniffer-annotations-1.17.jar:/usr/local/src/repo/org/apache/hbase/hbase-mapreduce/2.2.3/hbase-mapreduce-2.2.3.jar:/usr/local/src/repo/org/apache/hbase/thirdparty/hbase-shaded-miscellaneous/2.2.1/hbase-shaded-miscellaneous-2.2.1.jar:/usr/local/src/repo/org/apache/hbase/thirdparty/hbase-shaded-netty/2.2.1/hbase-shaded-netty-2.2.1.jar:/usr/local/src/repo/org/apache/hbase/thirdparty/hbase-shaded-protobuf/2.2.1/hbase-shaded-protobuf-2.2.1.jar:/usr/local/src/repo/org/apache/hbase/hbase-common/2.2.3/hbase-common-2.2.3.jar:/usr/local/src/repo/com/github/stephenc/findbugs/findbugs-annotations/1.3.9-1/findbugs-annotations-1.3.9-1.jar:/usr/local/src/repo/org/apache/hbase/hbase-zookeeper/2.2.3/hbase-zookeeper-2.2.3.jar:/usr/local/src/repo/org/apache/hbase/hbase-protocol/2.2.3/hbase-protocol-2.2.3.jar:/usr/local/src/repo/com/google/protobuf/protobuf-java/2.5.0/protobuf-java-2.5.0.jar:/usr/local/src/repo/org/apache/hbase/hbase-protocol-shaded/2.2.3/hbase-protocol-shaded-2.2.3.jar:/usr/local/src/repo/org/apache/hbase/hbase-metrics/2.2.3/hbase-metrics-2.2.3.jar:/usr/local/src/repo/org/apache/hbase/hbase-metrics-api/2.2.3/hbase-metrics-api-2.2.3.jar:/usr/local/src/repo/org/apache/htrace/htrace-core4/4.2.0-incubating/htrace-core4-4.2.0-incubating.jar:/usr/local/src/repo/org/apache/hbase/hbase-hadoop-compat/2.2.3/hbase-hadoop-compat-2.2.3.jar:/usr/local/src/repo/org/apache/hbase/hbase-hadoop2-compat/2.2.3/hbase-hadoop2-compat-2.2.3.jar:/usr/local/src/repo/org/apache/hbase/hbase-server/2.2.3/hbase-server-2.2.3.jar:/usr/local/src/repo/org/apache/hbase/hbase-http/2.2.3/hbase-http-2.2.3.jar:/usr/local/src/repo/org/eclipse/jetty/jetty-util-ajax/9.3.27.v20190418/jetty-util-ajax-9.3.27.v20190418.jar:/usr/local/src/repo/org/eclipse/jetty/jetty-http/9.3.27.v20190418/jetty-http-9.3.27.v20190418.jar:/usr/local/src/repo/javax/ws/rs/javax.ws.rs-api/2.0.1/javax.ws.rs-api-2.0.1.jar:/usr/local/src/repo/org/apache/hbase/hbase-procedure/2.2.3/hbase-procedure-2.2.3.jar:/usr/local/src/repo/org/eclipse/jetty/jetty-server/9.3.27.v20190418/jetty-server-9.3.27.v20190418.jar:/usr/local/src/repo/org/eclipse/jetty/jetty-io/9.3.27.v20190418/jetty-io-9.3.27.v20190418.jar:/usr/local/src/repo/org/glassfish/web/javax.servlet.jsp/2.3.2/javax.servlet.jsp-2.3.2.jar:/usr/local/src/repo/org/glassfish/javax.el/3.0.1-b12/javax.el-3.0.1-b12.jar:/usr/local/src/repo/javax/servlet/jsp/javax.servlet.jsp-api/2.3.1/javax.servlet.jsp-api-2.3.1.jar:/usr/local/src/repo/org/jamon/jamon-runtime/2.4.1/jamon-runtime-2.4.1.jar:/usr/local/src/repo/javax/servlet/javax.servlet-api/3.1.0/javax.servlet-api-3.1.0.jar:/usr/local/src/repo/com/lmax/disruptor/3.3.6/disruptor-3.3.6.jar:/usr/local/src/repo/org/apache/hadoop/hadoop-distcp/2.8.5/hadoop-distcp-2.8.5.jar:/usr/local/src/repo/org/apache/hbase/hbase-replication/2.2.3/hbase-replication-2.2.3.jar:/usr/local/src/repo/commons-io/commons-io/2.5/commons-io-2.5.jar:/usr/local/src/repo/org/apache/hadoop/hadoop-hdfs/2.8.5/hadoop-hdfs-2.8.5.jar:/usr/local/src/repo/org/mortbay/jetty/jetty/6.1.26/jetty-6.1.26.jar:/usr/local/src/repo/org/mortbay/jetty/jetty-util/6.1.26/jetty-util-6.1.26.jar:/usr/local/src/repo/com/sun/jersey/jersey-core/1.9/jersey-core-1.9.jar:/usr/local/src/repo/com/sun/jersey/jersey-server/1.9/jersey-server-1.9.jar:/usr/local/src/repo/asm/asm/3.1/asm-3.1.jar:/usr/local/src/repo/commons-daemon/commons-daemon/1.0.13/commons-daemon-1.0.13.jar:/usr/local/src/repo/xmlenc/xmlenc/0.52/xmlenc-0.52.jar:/usr/local/src/repo/org/apache/yetus/audience-annotations/0.5.0/audience-annotations-0.5.0.jar:/usr/local/src/repo/org/apache/hbase/hbase-client/2.2.3/hbase-client-2.2.3.jar:/usr/local/src/repo/org/jruby/jcodings/jcodings/1.0.18/jcodings-1.0.18.jar:/usr/local/src/repo/org/jruby/joni/joni/2.1.11/joni-2.1.11.jar:/usr/local/src/repo/ru/yandex/clickhouse/clickhouse-jdbc/0.3.2/clickhouse-jdbc-0.3.2.jar:/usr/local/src/repo/com/clickhouse/clickhouse-http-client/0.3.2/clickhouse-http-client-0.3.2.jar:/usr/local/src/repo/com/clickhouse/clickhouse-client/0.3.2/clickhouse-client-0.3.2.jar:/usr/local/src/repo/com/google/code/gson/gson/2.8.8/gson-2.8.8.jar:/usr/local/src/repo/org/apache/httpcomponents/httpmime/4.5.13/httpmime-4.5.13.jar:/opt/scala-2.12.10/lib/scala-parser-combinators_2.12-1.0.7.jar:/opt/scala-2.12.10/lib/scala-xml_2.12-1.0.6.jar:/opt/scala-2.12.10/lib/scala-swing_2.12-2.0.3.jar:/opt/scala-2.12.10/lib/scala-reflect.jar:/opt/scala-2.12.10/lib/scala-library.jar gs8.shujuwaqu2 log4j:WARN No appenders could be found for logger (org.apache.hadoop.hive.conf.HiveConf). log4j:WARN Please initialize the log4j system properly. log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info. Using Spark&#39;s default log4j profile: org/apache/spark/log4j-defaults.properties 25/10/09 15:41:11 WARN Utils: Your hostname, pbcp resolves to a loopback address: 127.0.1.1; using 192.168.75.3 instead (on interface ens33) 25/10/09 15:41:11 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address 25/10/09 15:41:11 INFO SparkContext: Running Spark version 3.1.1 25/10/09 15:41:11 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 25/10/09 15:41:11 INFO ResourceUtils: ============================================================== 25/10/09 15:41:11 INFO ResourceUtils: No custom resources configured for spark.driver. 25/10/09 15:41:11 INFO ResourceUtils: ============================================================== 25/10/09 15:41:11 INFO SparkContext: Submitted application: RandomForestModel 25/10/09 15:41:11 INFO ResourceProfile: Default ResourceProfile created, executor resources: Map(cores -> name: cores, amount: 1, script: , vendor: , memory -> name: memory, amount: 1024, script: , vendor: , offHeap -> name: offHeap, amount: 0, script: , vendor: ), task resources: Map(cpus -> name: cpus, amount: 1.0) 25/10/09 15:41:11 INFO ResourceProfile: Limiting resource is cpu 25/10/09 15:41:11 INFO ResourceProfileManager: Added ResourceProfile id: 0 25/10/09 15:41:11 INFO SecurityManager: Changing view acls to: root 25/10/09 15:41:11 INFO SecurityManager: Changing modify acls to: root 25/10/09 15:41:11 INFO SecurityManager: Changing view acls groups to: 25/10/09 15:41:11 INFO SecurityManager: Changing modify acls groups to: 25/10/09 15:41:11 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); groups with view permissions: Set(); users with modify permissions: Set(root); groups with modify permissions: Set() 25/10/09 15:41:12 INFO Utils: Successfully started service &#39;sparkDriver&#39; on port 45815. 25/10/09 15:41:12 INFO SparkEnv: Registering MapOutputTracker 25/10/09 15:41:12 INFO SparkEnv: Registering BlockManagerMaster 25/10/09 15:41:12 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information 25/10/09 15:41:12 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up 25/10/09 15:41:12 INFO SparkEnv: Registering BlockManagerMasterHeartbeat 25/10/09 15:41:12 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-5cf527aa-87b6-4cde-8bd4-fd7658d60a9a 25/10/09 15:41:12 INFO MemoryStore: MemoryStore started with capacity 1948.2 MiB 25/10/09 15:41:12 INFO SparkEnv: Registering OutputCommitCoordinator 25/10/09 15:41:12 INFO Utils: Successfully started service &#39;SparkUI&#39; on port 4040. 25/10/09 15:41:12 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://192.168.75.3:4040 25/10/09 15:41:12 INFO Executor: Starting executor ID driver on host 192.168.75.3 25/10/09 15:41:12 INFO Utils: Successfully started service &#39;org.apache.spark.network.netty.NettyBlockTransferService&#39; on port 44405. 25/10/09 15:41:12 INFO NettyBlockTransferService: Server created on 192.168.75.3:44405 25/10/09 15:41:12 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy 25/10/09 15:41:12 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, 192.168.75.3, 44405, None) 25/10/09 15:41:12 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.75.3:44405 with 1948.2 MiB RAM, BlockManagerId(driver, 192.168.75.3, 44405, None) 25/10/09 15:41:12 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, 192.168.75.3, 44405, None) 25/10/09 15:41:12 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, 192.168.75.3, 44405, None) 25/10/09 15:41:13 ERROR FileUtils: The jar file path /opt/module/hive-3.1.2/lib doesn&#39;t exist 25/10/09 15:41:13 ERROR FileUtils: The jar file path /opt/module/hive-3.1.2/jdbc doesn&#39;t exist 25/10/09 15:41:14 ERROR FileUtils: The jar file path /opt/module/hive-3.1.2/lib doesn&#39;t exist 25/10/09 15:41:14 ERROR FileUtils: The jar file path /opt/module/hive-3.1.2/jdbc doesn&#39;t exist 25/10/09 15:41:14 INFO Persistence: Property datanucleus.metadata.validate unknown - will be ignored 25/10/09 15:41:14 INFO Persistence: Property hive.metastore.integral.jdo.pushdown unknown - will be ignored 25/10/09 15:41:14 INFO Persistence: Property datanucleus.cache.level2 unknown - will be ignored 25/10/09 15:41:14 ERROR FileUtils: The jar file path /opt/module/hive-3.1.2/lib doesn&#39;t exist 25/10/09 15:41:14 ERROR FileUtils: The jar file path /opt/module/hive-3.1.2/jdbc doesn&#39;t exist Exception in thread "main" org.apache.spark.sql.catalyst.parser.ParseException: DataType longtype is not supported.(line 1, pos 0) == SQL == LongType ^^^ at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitPrimitiveDataType$1(AstBuilder.scala:2267) at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:124) at org.apache.spark.sql.catalyst.parser.AstBuilder.visitPrimitiveDataType(AstBuilder.scala:2242) at org.apache.spark.sql.catalyst.parser.AstBuilder.visitPrimitiveDataType(AstBuilder.scala:54) at org.apache.spark.sql.catalyst.parser.SqlBaseParser$PrimitiveDataTypeContext.accept(SqlBaseParser.java:17259) at org.apache.spark.sql.catalyst.parser.AstBuilder.typedVisit(AstBuilder.scala:58) at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitSingleDataType$1(AstBuilder.scala:98) at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:124) at org.apache.spark.sql.catalyst.parser.AstBuilder.visitSingleDataType(AstBuilder.scala:98) at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.$anonfun$parseDataType$1(ParseDriver.scala:39) at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parse(ParseDriver.scala:107) at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parseDataType(ParseDriver.scala:38) at org.apache.spark.sql.Column.cast(Column.scala:1204) at gs8.shujuwaqu2$.main(shujuwaqu2.scala:24) at gs8.shujuwaqu2.main(shujuwaqu2.scala) Process finished with exit code 1
10-10
这个错误发生在代码的第24行，也就是在转换`machine_record_id`列为LongType的时候： ```scala val trainDF = spark.sql("SELECT * FROM dwd.fact_machine_learning_data WHERE machine_record_state IS NOT NULL")...
wuyilun@ubuntu:~/Desktop/CAMEOS$ git log H500_release_1.3.8 commit 33c6a2207852782f46232ad8d17ee344af63d804 (H500_release_1.3.8) Author: “wuyilun” <wuyilun1@tp-link.com.hk> Date: Sun Oct 26 20:05:47 2025 -0700 20251027 Change-Id: I9788f9637a9b975886a4daf711f313c37431b94c commit ea75dc8ac78dca1d0b0da8070355327afd4c15e0 Author: “wuyilun” <wuyilun1@tp-link.com.hk> Date: Sun Oct 26 19:46:29 2025 -0700 20251027 Change-Id: I9fe803e7a1be580a37af224f92787434b607853e commit 3fdec155cd9b849302dd5e09913278ab7b31204b Author: “wuyilun” <wuyilun1@tp-link.com.hk> Date: Fri Oct 24 00:08:02 2025 -0700 20251024 Change-Id: Id72c56fd9f0304033925bc4002179b34a410c776 commit b82f21b8f3355bafbfa0a54e22113eef549d5472 Author: “wuyilun” <wuyilun1@tp-link.com.hk> Date: Wed Oct 22 21:09:11 2025 -0700 20251023 Change-Id: Ib4ad9390be877107ac4f308073c680b94ad3f2de commit 7644ebf19c656b853609f2d9006526977fecaee1 Author: “wuyilun” <wuyilun1@tp-link.com.hk> Date: Tue Oct 21 00:41:47 2025 -0700 20251021 Change-Id: Ic49ef0ff0294d2338442e25729450c7f78d35a2c commit 81933ab0b74b311c4e19bbc828a6be11cad39ae7 Author: pengyuanhao <pengyuanhao@tp-link.com.hk> Date: Wed Mar 12 09:09:52 2025 +0800 不编matter Change-Id: Id7d9b0205e952a02e3aa22344cc451446e0d5f6c commit e20e573721dc53e9b51498f16e2e859d4f43dce7 Author: “wuyilun” <wuyilun1@tp-link.com.hk> Date: Fri Oct 10 05:52:10 2025 -0700 20251010 Change-Id: I5e1ab68a76874a72c72db3c18cc1783c71c02c91 commit 435f61f090049174541cafbd28df3b3e3b8a3437 Author: “wuyilun” <wuyilun1@tp-link.com.hk> Date: Sun Sep 28 03:07:51 2025 -0700 unetwork Change-Id: Ia048d226d1a53ca9869342ddcf683fc3f98b3060 commit 15aaa54e2c0876867f7d12f118d611fbdb01d8af (origin/H500_release_1.3.8) Author: libin <libin@tp-link.com.hk> wuyilun@ubuntu:~/Desktop/CAMEOS$ gitk wuyilun@ubuntu:~/Desktop/CAMEOS$ git cherry-pick ea75dc8ac78dca1d0b0da8070355327afd4c15e0 Auto-merging platform/iplatform/private/mqtt-cloud/src/mqtt_ubus.c Auto-merging platform/iplatform/private/mediacenter2/src/worker.c Auto-merging platform/iplatform/private/mediacenter2/src/include/common.h CONFLICT (modify/delete): platform/iplatform/private/lib-tpcom/src/capability.h deleted in HEAD and modified in ea75dc8ac7... 20251027. Version ea75dc8ac7... 20251027 of platform/iplatform/private/lib-tpcom/src/capability.h left in tree. CONFLICT (modify/delete): platform/iplatform/private/lib-tpcom/src/capability.c deleted in HEAD and modified in ea75dc8ac7... 20251027. Version ea75dc8ac7... 20251027 of platform/iplatform/private/lib-tpcom/src/capability.c left in tree. error: could not apply ea75dc8ac7... 20251027 hint: after resolving the conflicts, mark the corrected paths hint: with &#39;git add <paths>&#39; or &#39;git rm <paths>&#39; hint: and commit the result with &#39;git commit&#39;
最新发布
10-28
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