我在企业防火墙后面的Windows 7机器上安装了Eclipse Luna和Maven 3.2.3.
尝试从原型创建项目会导致以下错误:
无法解析原型org.apache.maven.archetypes:maven-archetype-quickstart:来自任何已配置存储库的RELEASE.
无法解析工件org.apache.maven.archetypes:maven-archetype-quickstart:pom:RELEASE
无法解析org.apache.maven.archetypes的版本:maven-archetype- quickstart:pom:RELEASE:无法在本地找到元数据org.apache.maven.archetypes:maven-archetype-quickstart/maven-metadata.xml(C :\用户\ xxxx.m2 \库)
无法解析org.apache.maven.archetypes的版本:maven-archetype-quickstart:pom:RELEASE:无法在本地找到元数据org.apache.maven.archetypes:maven-archetype-quickstart/maven-metadata.xml(C :\用户\ xxxx.m2 \库)
配置代理详细信息.m2/settings.xml并从archtype生成maven项目在命令行中正常工作.
我试图从这里应用解决方案但没有工作.远程目录也不可访问.我认为这是Eclipse的网络设置的问题.我也查看了这个错误报告,试图找到一些线索,并不能真正理解如何实现变通方法.
这是我的settings.xml文件:
<settings xmlns="http://maven.apache.org/SETTINGS/1.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/SETTINGS/1.0.0
http://maven.apache.org/xsd/settings-1.0.0.xsd">
<servers>
<server>
<id>nexus</id>
<username>xxxx@xxxx.com</username>
<password>{XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX}</password>
</server>
<server>
<id>deployment</id>
<username>xxxx@xxxx.com</username>
<password>{XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX}</password>
</server>
</servers>
<mirrors>
<mirror>
<!--This sends everything else to /public -->
<id>nexus</id>
<mirrorOf>*</mirrorOf>
<url>https://nexus-int.xxxx.xxxx.com/nexus/content/groups/public</url>
</mirror>
</mirrors>
<profiles>
<profile>
<id>nexus</id>
<!--Enable snapshots for the built in central repo to direct -->
<!--all requests to nexus via the mirror -->
<repositories>
<repository> …尝试在 GCP 上运行“导入火炬”。
我收到消息了ModuleNotFoundError: No module named 'torch'
尝试创建一个具有以下属性的新集群（通过 api，而不是终端）：
dataproc->conda.packages->pytorch==1.7.1，visions==0.7.1
dataproc->pip.packages->tokenizers==0.10.1，数据集==1.5.0
集群创建超时，未创建。即使刚刚尝试，也会发生同样的情况
dataproc -> conda.packages -> pytorch==1.7.1
尝试使用以下命令在主服务器上手动安装 conda：
conda install -c pytorch pytorch
将近一个小时后，我得到：
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment -/
感谢您的任何帮助或建议，即除了火炬之外我还需要： from Transformers import LongformerModel, LongformerTokenizer from model import RedditModel
我正在尝试从 GCS 存储桶读取 XML 文件的集合并处理它们，其中集合中的每个元素都是代表整个文件的字符串，但我找不到关于如何完成此操作的合适示例，我也无法理解它来自 Apache Beam 文档，主要是关于 Java 版本的。
我当前的管道如下所示：
p = beam.Pipeline(options=PipelineOptions(pipeline_args))
(p
| 'Read from a File' >> beam.io.Read(training_files_folder)
| 'String To BigQuery Row' >> beam.Map(lambda s:
data_ingestion.parse_method(s))
| 'Write to BigQuery' >> beam.io.Write(
beam.io.BigQuerySink(
known_args.output,
schema='title:STRING,text:STRING,id:STRING',
create_disposition=beam.io.BigQueryDisposition.CREATE_IF_NEEDED,
write_disposition=beam.io.BigQueryDisposition.WRITE_TRUNCATE)))
p.run().wait_until_finish()
我收到的错误消息是：
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.2.1\helpers\pydev\pydevd.py", line 1664, in <module>
main()
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.2.1\helpers\pydev\pydevd.py", line 1658, in main
globals = debugger.run(setup['file'], None, None, is_module)
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.2.1\helpers\pydev\pydevd.py", line 1068, in …