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./setup-x86_64 -q -P wget -s https://mirrors.aliyu
./setup-x86_64 -q -L -l "D:\cygwin-packages" -R "d:\cygwin64" -s "file:///D:/cygwin-packages" -P cron
参数解释
-q:静默模式(无需用户交互)。
-L:强制使用本地包目录中的文件,而不是从网络上下载。
-l "D:\cygwin-packages":指定本地包目录路径(注意这里使用的是Windows路径格式)。
-R "C:\cygwin64":指定Cygwin的安装路径。
-s "file:///D:/cygwin-packages":指定包的本地源(URI格式)。
-P cron:指定要安装的包名称,这里是cron。
其他注意事项
确保本地源目录(例如D:\cygwin-packages)中包含cron包的相关文件及所有依赖。
如果安装过程中遇到依赖问题,请确保本地源中包含这些依赖包,或将依赖包也一并添加到安装命令中。
运行上述命令后,setup-x86_64.exe将从本地源安装cron包并确保其依赖项满足。
cygrunsrv --install cron --path /usr/sbin/cron --args -n
*** There are a lot of web posts that say you should use cygrunsrv -I cron -p /usr/sbin/cron -a -D (See Errors #1 & #2).
# rm bg color
color=$( convert filename.png -format "%[pixel:p{0,0}]" info:- )
convert filename.png -alpha off -bordercolor $color -border 1 \
\( +clone -fuzz 30% -fill none -floodfill +0+0 $color \
-alpha extract -geometry 200% -blur 0x0.5 \
-morphology erode square:1 -geometry 50% \) \
-compose CopyOpacity -composite -shave 1 outputfilename.png
Token indices sequence length is longer than the specified maximum sequence length for this model (2346 > 2048). Running this sequence through the model will result in indexing errors
按照"codelibs fess: JSON Data Store for Fess 的示例"的回答创建Data Store, 执行后报错 org.codelibs.fess.exception.DataStoreException: files and directories are blank.
一种提升自然语言查询结构化数据准确性的方法 重建领域prompt(保留字、同义词、相似度向量库),再输入模型。查询车型配置的方法和装置
ImportError: attempted relative import with no known parent package
- https://sapling.ai/llm/index
- https://www.datalearner.com/ai-models/pretrained-models
- https://dataconomy.com/2023/02/27/best-large-language-models-meta-llama-ai/
- https://arxiv.org/pdf/2106.09685v1.pdf
https://cloud.tencent.com/developer/article/1838550
(本文翻译自《The Art of Asking ChatGPT for High-Quality Answers A Complete Guide to Prompt Engineering Techniques》这本书,本文的翻译全部由ChatGpt完成,我只是把翻译内容给稍微排版了一下。做完了才发现这个工作早就有人做过了...下面是我以此事件让New Bing编写的一个小故事,希望大家喜欢)
他终于画完了他的画,心满意足地把它挂在了墙上。他觉得这是他一生中最伟大的作品,无人能及。他邀请了所有的朋友来欣赏,期待着他们的赞美和惊叹。 可是当他们看到画时,却没有一个人说话。他们只是互相对视,然后低头咳嗽,或者假装看手机。他感到很奇怪,难道他们都不懂艺术吗?难道他们都没有眼光吗? 他忍不住问其中一个朋友:“你觉得我的画怎么样?” 朋友犹豫了一下,说:“嗯……其实……这个画……我以前在哪里见过。” “见过?你在哪里见过?”他惊讶地问。 “就在……就在那边啊。”朋友指了指墙角的一个小框架,“那不就是你上个月买回来的那幅名画吗?你怎么把它照抄了一遍? ——New Bing
`
static void Main(string[] args)
{
CcdImgClient currInstance = CcdImgClient.Instance;
currInstance.InitPythonEnv();
// This delegate will be called when the thread is done executing.obj/Program.cs
Bitmap image1 = new Bitmap(@"E:\Cnt_1_相机2_平台30_原始_时间码2023082115410830.0.bmp", true);
byte[] img_buff = ImageToByteArray(image1);
// byte[] img_buff = GetRGBValues(image1);
Console.WriteLine(img_buff.Length);
string ret = pythonModule.evaluate_bin_img(img_buff);
Console.WriteLine(ret);
}
public static byte[] ImageToByteArray(Bitmap bmap)
{
using (var ms = new MemoryStream())
{
bmap.Save(ms, bmap.RawFormat);
return ms.ToArray();
}
}
`
select domoy, i_cnt, speech_source , category_no, classifier, domain from ( select *, row_number() over (partition by domoy,speech_source, category_no, classifier, domain order by domoy) rn from ac_ods.device_domain ) t where rn = 1;
insert into ac_ods.appliance_domain select regexp_replace('2020-03-01', '-', '') as domoy, count(1) dicnt, speech_source, category_no, nlu_l1, nlu_l2 from aipdc.intent where year_month=202003 and to_date(time) = '2020-03-01' group by speech_source, category_no, nlu_l1, nlu_l2 ;
insert into aipdc.speaker_domain select 20200501, count(1), 'speaker', '1C', get_json_object(action_vod, '$.domain') as domain from tmp.ods_smart_speaker_reportdata_state where part_dt = '2020-05-01' group by get_json_object(action_vod, '$.domain') ;
insert into ac_ods.slient60 select regexp_replace('2020-05-01', '-', '') as domoy, count(distinct sn) c60_silent, case when speech_source is null then 'Total' else speech_source end as speech_source from aipdc.intent t where to_date(t.time) < date_sub('2020-05-01', 60) and not exists ( select 1 from aipdc.intent n where to_date(n.time) > date_sub('2020-05-01', 60) and to_date(n.time) <= '2020-05-01' and n.sn = t.sn) group by speech_source with rollup ;
insert into aipdc.device_domain_stage partition(year_month=202008) select 20200802, sum(i_cnt), speech_source, category_no, classifier, domain from ac_ods.appliance_domain where domoy <= 20200802 group by speech_source, category_no, classifier, domain order by speech_source , category_no, classifier, domain;
insert into aipdc.device_domain_stage partition(year_month=202008) select 20200802, sum(i_cnt), speech_source, category_no, 'publicDomain', domain from ac_ods.speaker_domain where domoy <= 20200802 group by speech_source, category_no, domain order by speech_source , category_no, domain;
``
-- curr
insert overwrite table ac_ods.device_base
select domoy, new_cnt, accumulate_cnt , active_cnt, active2_cnt, speech_source , category_no from (
select *, row_number() over (partition by domoy,speech_source, category_no order by domoy) rn from aipdc.device_base_stage
) t where rn = 1;
insert overwrite table aipdc.device_base_stage select * from ac_ods.device_base;
insert overwrite table ac_ods.speaker_domain
select domoy, i_cnt, speech_source , category_no, domain from (
select *, row_number() over (partition by domoy,speech_source, category_no, domain order by domoy) rn from aipdc.speaker_domain
) t where rn = 1;
insert overwrite table aipdc.speaker_domain select * from ac_ods.speaker_domain;
-- alter table aipdc.device_domain_stage drop if exists partition(year_month=202008);
insert overwrite table ac_ods.device_domain
select domoy, i_cnt, speech_source , category_no, classifier, domain from (
select *, row_number() over (partition by domoy,speech_source, category_no, classifier, domain order by domoy) rn from aipdc.device_domain_stage
where i_cnt is not null and year_month=202008
) t where rn = 1;
insert overwrite table aipdc.device_domain_stage partition(year_month=202008) select * from ac_ods.device_domain where domoy >=20200801
-- insert into table aipdc.device_domain_stage partition(year_month=202008) select domoy, i_cnt, speech_source , category_no, classifier, domain from ac_ods.device_domain where domoy >=20200801 and domoy < 20200824
insert overwrite table ac_ods.device_accumulate
select domoy, newdevice_cnt, device_cnt, speech_source, province, city from (
select domoy, newdevice_cnt, device_cnt, speech_source, province, city , row_number() over (partition by domoy, speech_source order by domoy) rn from aipdc.device_accumulate_stage
) t where t.rn = 1;
insert overwrite table aipdc.device_accumulate_stage select * from ac_ods.device_accumulate;
insert overwrite table ac_ods.device_retention
select domoy, cnt1d, cnt2d_excluding_end, cnt3d_excluding_end, cnt7d_excluding_end, c60_silent, speech_source, province, city from (
select domoy, cnt1d, cnt2d_excluding_end, cnt3d_excluding_end, cnt7d_excluding_end, c60_silent, speech_source, province, city, row_number() over (partition by domoy, speech_source order by domoy) rn from aipdc.device_retention_stage) t where t.rn = 1;
insert overwrite table aipdc.device_retention_stage select * from ac_ods.device_retention;
launch.json
{
// Use IntelliSense to learn about possible attributes.
// Hover to view descriptions of existing attributes.
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
"configurations": [
{
//配置名称,将会在启动配置的下拉菜单中显示
"name": "Python: Current File",
//配置类型
"type": "python",
//请求配置类型,可以为launch(启动)或attach(附加)
//launch: VSCode 会打开这个程序然后进入调试
//attach:你已经打开了程序,然后接通内部调试协议进行调试
"request": "launch",
"stopOnEntry": false,
"justMyCode": true,
"python": "/data/datasets/stable-diffusion21-webui/stable-diffusion-webui/venv/bin/python",
//将要进行调试的程序的路径
"program": "${file}",
//调试程序时的工作目录,一般为${workspaceRoot}即代码所在目录
"cwd": "${workspaceRoot}",
"console": "internalConsole",
"env": {"CUDA_VISIBLE_DEVICES": "1"},
"envFile": "${workspaceRoot}/.env",
"debugOptions": [
// "WaitOnAbnormalExit",
// "WaitOnNormalExit",
"RedirectOutput"
],
"args": [
"--xformers",
"--api-log",
"--nowebui"
]
}
]
}
mvn archetype:generate -DarchetypeGroupId=org.apache.flink -DarchetypeArtifactId=flink-quickstart-java -DarchetypeVersion=1.11.1 -DinteractiveMode=false -DarchetypeCatalog=local -Dpackage=ai -DartifactId=rtflow -DgroupId=ai
...
[DEBUG] -- end configuration --
[INFO] Generating project in Interactive mode
[DEBUG] Searching for remote catalog: http://repo1.maven.org/maven2/archetype-catalog.xml
...
禁用Interactive mode,避免网络不好时连接时间过长。
maven在pom文件里引用本地jar
<dependency>
<groupId>org.apache</groupId>
<artifactId>common</artifactId>
<version>3.1</version>
<scope>system</scope>
<systemPath>d:/apacheXXX-common.jar</systemPath>
</dependency>
mvn archetype:generate -DarchetypeCatalog=internal
mvn deploy:deploy-file \ -DgroupId=com.yourname.jgoodies \ -DartifactId=jgoodies-forms \ -Dversion=1.50 \ -Dfile=/path/to/jgoodies-1.50.jar \ -Dpackaging=jar \ -Durl=file://path/to/your/local/repository mvn install:install-file \ -DgroupId=org.python \ -DartifactId=jython-standalone \ -Dversion=2.7.1 \ -Dfile=/home/ubuntu/Downloads/jython-standalone-2.7.1.jar \ -Dpackaging=jar \ # -Durl=/home/ubuntu/.m2/repository/ For the sources: mvn deploy:deploy-file \ -DgroupId=com.yourname.jgoodies \ -DartifactId=jgoodies-forms \ -Dversion=1.50 \ -Dfile=/path/to/jgoodies-sources.jar \ -Dpackaging=jar \ -Durl=file://path/to/your/local/repository \ -Dclassifier=sources For the javadoc: mvn deploy:deploy-file \ -DgroupId=com.yourname.jgoodies \ -DartifactId=jgoodies-forms \ -Dversion=1.50 \ -Dfile=/path/to/jgoodies-javadoc.jar \ -Dpackaging=jar \ -Durl=file://path/to/your/local/repository \ -Dclassifier=javadoc Note that this will generate a standard POM, so you won't have the dependencies of JGoodies (if any) pulled automatically but have to specify them manually in your project.
[root@centos-01 yum.repos.d]# cat init/local.repo [InstallationMedia] name=CentosLocalInstallation #baseurl=file:///media/cdr baseurl=file:///media/CentOS_6.6_Final enabled=1 gpgcheck=0 #CentOS_6.6_Final
说明 | Redhat | Debian |
更新缓存 | yum makecache | apt-get update |
更新包 | yum update | apt-get upgrade |
检索包 | yum search | apt-cache search |
检索包内文件 | yum provides | apt-file search |
安装指定的包 | yum install | apt-get install |
删除指定的包 | yum remove | apt-get remove |
显示指定包的信息 | yum info | apt-cache show |
显示包所在组的一览 | yum grouplist | - |
显示指定包所在组的信息 | yum groupinfo | - |
安装指定的包组 | yum groupinstall | - |
删除指定的包组 | yum groupremove | - |
参考库的设定文件 | /etc/yum.repos.d/* | /etc/apt/sources.list |
安装完的包的列表 | rpm -qa | dpkg-query -l |
显示安装完的指定包的信息 | rpm -qi | apt-cache show |
安装完的指定包内的文件列表 | rpm -ql | dpkg-query -L |
安装完的包的信赖包的列表 | rpm -qR | apt-cache depends |
安装完的文件信赖的包 | rpm -qf | dpkg -S |
同步Ubuntu清华源noble(24.04)版本的dists
for p in "${1:-noble}"{,-{security,updates,backports}}
do
echo $p;
# -np 与 -nH --cut-dirs一起使用时, -np貌似不生效, GNU Wget 1.21.4(@ubuntu24.04)
wget -c -r -e robots=off -np -R "index.htm*" "https://mirrors.tuna.tsinghua.edu.cn/ubuntu/dists/$p/"
done
awk '{$3=""; print $0}' FILE # 排除多列 awk '{$1=$2=""; print $0}' FILE
Print a range of columns from the first till the fourth:
$ awk -v f=2 -v t=4 '{for(i=f;i<=t;i++) printf("%s%s",$i,(i==t)?"\n":OFS)}' FILE
Exclude a column range from the second till the fourth and print the rest:
$ awk -v f=2 -v t=4 '{for(i=1;i<=NF;i++)if(i>=f&&i<=t)continue;else printf("%s%s",$i,(i!=NF)?OFS:ORS)}' FILE
https://phoenixnap.com/kb/awk-command-in-linux#special-expression-patterns
sed -i -e ':a' -e 'N' -e '$!ba' -e 's#trans-log-table>\n\s\+<connection />\n\s\+<schema />\n\s\+<table />\n#trans-log-table> <connection>payment_dwh</connection> <schema>public</schema> <table>audit_trans_log</table>#g' -e s'#channel-log-table>\n\s\+<connection />\n\s\+<schema />\n\s\+<table />\n#channel-log-table> <connection>payment_dwh</connection> <schema>public</schema> <table>audit_channel_log</table>#g' -e s'#job-log-table>\n\s\+<connection />\n\s\+<schema />\n\s\+<table />\n#job-log-table> <connection>payment_dwh</connection> <schema>public</schema> <table>audit_job_log</table> #g' -e s'#jobentry-log-table>\n\s\+<connection />\n\s\+<schema />\n\s\+<table />\n#jobentry-log-table> <connection>payment_dwh</connection> <schema>public</schema> <table>audit_job_entry_log</table>#g' load_dim_payer\ -\ 副本.ktr | grep xxx
sed -i -e ':a' -e 'N' -e '$!ba' -e 's#trans-log-table>\n\s+\n\s+\n\s+
-e s'#channel-log-table>\n\s+\n\s+\n\s+
-e s'#job-log-table>\n\s+\n\s+\n\s+
-e s'#jobentry-log-table>\n\s+\n\s+\n\s+
load_dim_payer\ -\ 副本.ktr | grep xxx