updating the bot frameworks plotting
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0401-bot-frameworks-commits-event.png
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0401-bot-frameworks-commits-event.png
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0401-bot-frameworks-commits-testing.png
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0401-bot-frameworks-commits-testing.png
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@ -27,9 +27,8 @@ long_df <- input_df |>
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values_to = "lengthened_commit_count")
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summarized_df <- long_df |>
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group_by(relative_week, commit_type) |>
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summarise(total_commit_count = sum(lengthened_commit_count, na.rm = TRUE)) |>
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mutate(rd_event="release")
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group_by(relative_week, commit_type, rd_event) |>
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summarise(total_commit_count = sum(lengthened_commit_count, na.rm = TRUE))
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#long_df <- input_df |>
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# tidyr::pivot_longer(cols = c(wmf_ft_commit_count, unaff_ft_commit_count, nonbot_commit_count),
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# names_to = "commit_type",
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@ -41,7 +40,7 @@ summarized_df <- long_df |>
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# mutate(scaled_long_commits = lengthened_commit_count / 10)
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window_num <- 4
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window_num <- 8
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final_long_df <- summarized_df |>
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filter(relative_week >= (- window_num) & relative_week <= (window_num))
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@ -66,8 +65,7 @@ commit_plot <- final_long_df |>
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theme(legend.position = "top")
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commit_plot
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ggsave(filename = "0316-bot-frameworks-commits-event.png", plot = commit_plot, width = 15, height = 9, dpi = 800)
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ggsave(filename = "0401-bot-frameworks-commits-event.png", plot = commit_plot, width = 15, height = 9, dpi = 800)
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total_commit_plot <- final_long_df |>
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ggplot(aes(x=relative_week,
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@ -15,3 +15,4 @@ When done using RStudio Server, terminate the job by:
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2. Issue the following command on the login node:
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scancel -f 25101978
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slurmstepd: error: *** JOB 25101978 ON n3439 CANCELLED AT 2025-04-01T10:12:30 DUE TO TIME LIMIT ***
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17
mgaughan-rstudio-server_25104883.out
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17
mgaughan-rstudio-server_25104883.out
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@ -0,0 +1,17 @@
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1. SSH tunnel from your workstation using the following command:
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ssh -N -L 8787:n3439:60911 mjilg@klone.hyak.uw.edu
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and point your web browser to http://localhost:8787
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2. log in to RStudio Server using the following credentials:
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user: mjilg
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password: EKa4WB0aZn3MeC3Huz21
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When done using RStudio Server, terminate the job by:
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1. Exit the RStudio Session ("power" button in the top right corner of the RStudio window)
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2. Issue the following command on the login node:
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scancel -f 25104883
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