Adaption to new dataset
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@ -55,8 +55,27 @@ def plot(prefix, header, row):
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x = { h : d for (h, d) in zip(header, row)}
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jobid = x["jobid"]
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del x["jobid"]
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del x["coding_abs"]
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del x["coding_abs_aggzeros"]
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del x["bcoding"]
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# EB: Removing segment mean values
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del x["mean_md_file_create"]
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del x["mean_md_file_delete"]
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del x["mean_md_mod"]
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del x["mean_md_other"]
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del x["mean_md_read"]
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del x["mean_read_bytes"]
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del x["mean_read_calls"]
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del x["mean_write_bytes"]
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del x["mean_write_calls"]
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# EB: Renaming dict keys
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x["md_file_create"] = x.pop("q16_md_file_create")
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x["md_file_delete"] = x.pop("q16_md_file_delete")
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x["md_mod"] = x.pop("q16_md_mod")
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x["md_other"] = x.pop("q16_md_other")
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x["md_read"] = x.pop("q16_md_read")
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x["read_bytes"] = x.pop("q16_read_bytes")
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x["read_calls"] = x.pop("q16_read_calls")
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x["write_bytes"] = x.pop("q16_write_bytes")
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x["write_calls"] = x.pop("q16_write_calls")
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result = []
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for k in x:
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@ -123,7 +142,8 @@ def plot(prefix, header, row):
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with open('job-io-datasets/datasets/job_codings.csv') as csv_file:
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#with open('job-io-datasets/datasets/job_codings.csv') as csv_file: # EB: old codings
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with open('./datasets/job_codings_v3.csv') as csv_file: # EB: v3 codings moved to this repo
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csv_reader = csv.reader(csv_file, delimiter=',')
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line_count = 0
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for row in csv_reader:
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