add elgato 1.19.0 - Githubissues

Kincekara commented 1 month ago

Just updated the program version:

diff elgato/1.18.2/Dockerfile elgato/1.19.0/Dockerfile
3c3
< ARG ELGATO_VER="1.18.2"
---
> ARG ELGATO_VER="1.19.0"

Pull Request (PR) checklist:

[x] Include a description of what is in this pull request in this message.
[x] The dockerfile successfully builds to a test target for the user creating the PR. (i.e. docker build --tag samtools:1.15test --target test docker-builds/samtools/1.15 )
[x] Directory structure as name of the tool in lower case with special characters removed with a subdirectory of the version number (i.e. spades/3.12.0/Dockerfile)
- [ ] (optional) All test files are located in same directory as the Dockerfile (i.e. shigatyper/2.0.1/test.sh)
[x] Create a simple container-specific README.md in the same directory as the Dockerfile (i.e. spades/3.12.0/README.md)
- [ ] If this README is longer than 30 lines, there is an explanation as to why more detail was needed
[x] Dockerfile includes the recommended LABELS
[x] Main README.md has been updated to include the tool and/or version of the dockerfile(s) in this PR
[x] Program_Licenses.md contains the tool(s) used in this PR and has been updated for any missing

erinyoung commented 1 month ago

The tests looked like they worked

#12 0.726 [08/23/2024 01:22:17 PM | test/ ]  Finished running blastn/mompS
#12 0.726 [08/23/2024 01:22:17 PM | test/ ]  mompS alleles identified: 18
#12 0.726 [08/23/2024 01:22:17 PM | test/ ]  Running command: blastn -query GCF_900119765.1_2532STDY5467631_genomic.fna -db /usr/local/bin/db/all_loci.fasta -outfmt '6 std qlen slen' -max_target_seqs 50000
#12 0.726 [08/23/2024 01:22:17 PM | test/ ]  Running blast
#12 0.726 [08/23/2024 01:22:17 PM | test/ ]  Finished running blast
#12 0.726 [08/23/2024 01:22:17 PM | test/ ]  Command log for blast:
#12 0.726 qseqid         sseqid        pident   length  mismatch  gapopen  qstart   qend     sstart  send  evalue     bitscore  qlen     slen  
#12 0.726 NZ_LT632614.1  flaA_8        100.000  182     0         0        1498635  1498816  182     1     2.16e-90   337       3530817  182   
#12 0.726 NZ_LT632614.1  pilE_10       100.000  333     0         0        721006   721338   333     1     2.48e-174  616       3530817  333   
#12 0.726 NZ_LT632614.1  asd_3         100.000  473     0         0        2650534  2651006  473     1     0.0        874       3530817  473   
#12 0.726 NZ_LT632614.1  mip_15        100.000  402     0         0        941537   941938   1       402   0.0        743       3530817  402   
#12 0.726 NZ_LT632614.1  proA_1        100.000  405     0         0        568377   568781   1       405   0.0        749       3530817  405   
#12 0.726 NZ_LT632614.1  neuA_neuAH_6  100.000  354     0         0        898051   898404   1       354   0.0        654       3530817  354   
#12 0.726                
#12 0.726 
#12 0.726 [08/23/2024 01:22:17 PM | test/ ]  Finished running blast
#12 0.726 [08/23/2024 01:22:17 PM | test/ ]  Finished analysis
#12 0.726 [08/23/2024 01:22:17 PM | test/ ]  Output = 
#12 0.726 GCF_900119765.1_2532STDY5467631_genomic   62  8   10  3   15  18  1   6
#12 0.726 
#12 0.726 [08/23/2024 01:22:17 PM | test/ ]  The program took 0s
#12 DONE 0.8s

erinyoung commented 1 month ago

Thank you for putting this together!

You can check the status of the deploy here : https://github.com/StaPH-B/docker-builds/actions/runs/10603682746

StaPH-B / docker-builds

add elgato 1.19.0 #1039