lots a small stuff
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@@ -377,7 +377,7 @@ dtypes = {}
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for name,d in rowingmetrics:
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if d['numtype'] == 'float':
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dtypes[name] = float
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elif d['numtype'] == 'int':
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elif d['numtype'] == 'int': # pragma: no cover
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dtypes[name] = int
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axesnew = [
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@@ -479,7 +479,7 @@ This value should be fairly constant across all stroke rates.""",
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def calc_trimp(df,sex,hrmax,hrmin,hrftp):
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def calc_trimp(df,sex,hrmax,hrmin,hrftp): # pragma: no cover
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if sex == 'male':
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f = 1.92
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else:
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