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Simplify average code and account for when any of the values are 0.
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@ -157,15 +157,14 @@ class JenkinsModule:
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_data["total"].append(row[3])
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_data["total"].append(row[3])
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# Get human-readable averages and throw it in a dict
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# Get human-readable averages and throw it in a dict
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_nonpassing = sum(_data["nonpassing"]) / len(_data["nonpassing"])
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average = {}
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_nonpassing = format(_nonpassing, ".1f")
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for datatype in ("nonpassing", "failing", "total"):
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_failing = sum(_data["failing"]) / len(_data["failing"])
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try:
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_failing = format(_failing, ".1f")
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num = sum(_data[datatype]) / len(_data[datatype])
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_total = sum(_data["total"]) / len(_data["total"])
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num = format(num, ".1f")
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_total = format(_total, ".1f")
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except ZeroDivisionError:
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average = {"nonpassing": _nonpassing,
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num = 0
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"failing": _failing,
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average[datatype] = num
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"total": _total}
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# Assign data to the dict Jinja2 is actually going to use
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# Assign data to the dict Jinja2 is actually going to use
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jenkins = {"nonpassing": zip(_data["date"], _data["nonpassing"]),
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jenkins = {"nonpassing": zip(_data["date"], _data["nonpassing"]),
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