adding rscoreapprox
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@@ -5,6 +5,7 @@ from scipy.interpolate import griddata
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from scipy import optimize
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from scipy import optimize
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from rowers.mytypes import otwtypes, otetypes, rowtypes
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from rowers.mytypes import otwtypes, otetypes, rowtypes
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from rowers.models import Workout
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p0 = [190, 200, 33, 16000]
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p0 = [190, 200, 33, 16000]
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@@ -22,6 +23,26 @@ rpetotss = {
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10: 140,
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10: 140,
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}
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}
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def rscore_approx(row):
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if row['rscore'] > 0:
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return row['rscore']
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if row['rscore'] == 0:
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if row['hrtss'] > 0:
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return row['hrtss']
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else:
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dd = 3600*row['duration'].hour+60*row['duration'].minute+row['duration'].second
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dd = dd/3600
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return rpetotss[row['rpe']]*dd
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if row['rscore'] < 0:
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w = Workout.objects.get(id=row['id'])
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trimp, hrtss = dataprep.workout_trimp(w)
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rscore, normp = dataprep.workout_rscore(w)
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if row['rpe'] and row['rpe'] > 0:
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dd = 3600*row['duration'].hour+60*row['duration'].minute+row['duration'].second
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dd = dd/3600
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return rpetotss[row['rpe']]*dd
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return 0
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def updatecp(delta, cpvalues, r, workouttype='water'): # pragma: no cover
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def updatecp(delta, cpvalues, r, workouttype='water'): # pragma: no cover
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if workouttype in otwtypes:
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if workouttype in otwtypes:
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@@ -1,6 +1,6 @@
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from rowers.metrics import axes, axlabels, yaxminima, yaxmaxima, get_yaxminima, get_yaxmaxima
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from rowers.metrics import axes, axlabels, yaxminima, yaxmaxima, get_yaxminima, get_yaxmaxima
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from rowers.dataprep import nicepaceformat, niceformat, strfdelta
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from rowers.dataprep import nicepaceformat, niceformat, strfdelta
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from rowers.datautils import p0, rpetotss
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from rowers.datautils import p0, rpetotss, rscore_approx
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from rowers.metrics import rowingmetrics, metricsdicts
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from rowers.metrics import rowingmetrics, metricsdicts
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from scipy.spatial import ConvexHull, Delaunay
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from scipy.spatial import ConvexHull, Delaunay
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from scipy.stats import linregress, percentileofscore
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from scipy.stats import linregress, percentileofscore
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