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| # Sample Logstash configuration for creating a simple | |
| # Beats -> Logstash -> Elasticsearch pipeline. | |
| input { | |
| file { | |
| path => "/root/linct/access_logs-sample.csv" | |
| sincedb_path => "/dev/null" | |
| start_position => "beginning" | |
| } | |
| } |
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| REGEDIT4 | |
| [HKEY_LOCAL_MACHINE\Software\Microsoft\Windows NT\CurrentVersion\FontLink\SystemLink] | |
| "Arial"="wqy-microhei.ttc" | |
| "Arial Black"="wqy-microhei.ttc" | |
| "Arial CE,238"="wqy-microhei.ttc" | |
| "Arial CYR,204"="wqy-microhei.ttc" | |
| "Arial Greek,161"="wqy-microhei.ttc" | |
| "Arial TUR,162"="wqy-microhei.ttc" | |
| "Courier New"="wqy-microhei.ttc" |
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| import groovy.json.JsonSlurper | |
| import groovy.json.JsonParserType | |
| import org.sonatype.nexus.repository.storage.Asset | |
| import org.sonatype.nexus.repository.storage.Query | |
| import org.sonatype.nexus.repository.storage.StorageFacet | |
| import java.util.concurrent.ExecutorService | |
| import java.util.concurrent.Executors | |
| CONDA_CLOUD_BASE_URL = "https://conda.anaconda.org" | |
| NEXUS_REPOSITORY = "http://127.0.0.1:8081/repository/conda" |
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| require 'benchmark' | |
| arr = (1..35).to_a.sort_by{ rand } | |
| def rec_opt(arr, i) | |
| if i == 0 | |
| arr[0] | |
| elsif i == 1 | |
| [arr[0], arr[1]].max | |
| else | |
| val_a = rec_opt(arr, i-2) + arr[i] |