commit
This commit is contained in:
Sander Roosendaal
@@ -1,75 +1,80 @@
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from rowers.models import (
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StandardCollection,CourseStandard,
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VirtualRaceResult,IndoorVirtualRaceResult,
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)
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StandardCollection, CourseStandard,
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VirtualRaceResult, IndoorVirtualRaceResult,
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)
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import pandas as pd
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import arrow
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import datetime
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def save_scoring(name,user,filename,id=0,notes=""):
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if id==0:
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collection = StandardCollection(name=name,manager=user,notes=notes)
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def save_scoring(name, user, filename, id=0, notes=""):
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if id == 0:
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collection = StandardCollection(name=name, manager=user, notes=notes)
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collection.save()
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standards = CourseStandard.objects.filter(standardcollection=collection)
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for standard in standards: # pragma: no cover
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standards = CourseStandard.objects.filter(
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standardcollection=collection)
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for standard in standards: # pragma: no cover
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standards.delete()
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else: # pragma: no cover
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else: # pragma: no cover
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try:
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collection = StandardCollection.objects.get(id=id)
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collection.name = name
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collection.notes = notes
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collection.save()
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standards = CourseStandard.objects.filter(standardcollection=collection)
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standards = CourseStandard.objects.filter(
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standardcollection=collection)
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for standard in standards:
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records1 = VirtualRaceResult.objects.filter(entrycategory=standard)
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records2 = IndoorVirtualRaceResult.objects.filter(entrycategory=standard)
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records1 = VirtualRaceResult.objects.filter(
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entrycategory=standard)
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records2 = IndoorVirtualRaceResult.objects.filter(
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entrycategory=standard)
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if records1.count()+records2.count() == 0:
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standard.delete()
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except StandardCollection.DoesNotExist:
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return 0
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try:
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df = pd.read_csv(filename)
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except: # pragma: no cover
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except: # pragma: no cover
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return 0
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df.rename(
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columns={
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'name':'Name',
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'agemax':'MaxAge',
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'agemin':'MinAge',
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'adaptiveclass':'AdaptiveClass',
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'coursedistance':'CourseDistance',
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'coursetime':'CourseStandard',
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'boatclass':'BoatClass',
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'boattype':'BoatType',
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'sex':'Gender',
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'weightclass':'WeightClass',
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'skillclass':'SkillClass',
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},
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inplace=True)
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'name': 'Name',
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'agemax': 'MaxAge',
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'agemin': 'MinAge',
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'adaptiveclass': 'AdaptiveClass',
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'coursedistance': 'CourseDistance',
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'coursetime': 'CourseStandard',
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'boatclass': 'BoatClass',
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'boattype': 'BoatType',
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'sex': 'Gender',
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'weightclass': 'WeightClass',
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'skillclass': 'SkillClass',
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},
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inplace=True)
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df = df.drop_duplicates(['Name'])
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for index, row in df.iterrows():
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try:
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name = row['Name']
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except KeyError: # pragma: no cover
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except KeyError: # pragma: no cover
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continue
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try:
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coursedistance = row['CourseDistance']
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coursetime = row['CourseStandard']
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t = datetime.datetime.strptime(coursetime,'%M:%S.%f')
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delta = datetime.timedelta(hours=t.hour, minutes=t.minute, seconds=t.second,microseconds=t.microsecond)
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t = datetime.datetime.strptime(coursetime, '%M:%S.%f')
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delta = datetime.timedelta(
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hours=t.hour, minutes=t.minute, seconds=t.second, microseconds=t.microsecond)
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seconds = delta.total_seconds()
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referencespeed = coursedistance/seconds
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except KeyError: # pragma: no cover
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except KeyError: # pragma: no cover
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continue
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try:
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@@ -77,71 +82,72 @@ def save_scoring(name,user,filename,id=0,notes=""):
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agemax = row['MaxAge']
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agemin = int(agemin)
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agemax = int(agemax)
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except KeyError: # pragma: no cover
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except KeyError: # pragma: no cover
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agemin = 0
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agemax = 120
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try:
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boatclass = row['BoatClass']
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if boatclass.lower() in ['standard','olympic','normal','water']:
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if boatclass.lower() in ['standard', 'olympic', 'normal', 'water']:
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boatclass = 'water'
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elif boatclass.lower() in ['erg','c2','concept','static','rower']: # pragma: no cover
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elif boatclass.lower() in ['erg', 'c2', 'concept', 'static', 'rower']: # pragma: no cover
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boatclass = 'rower'
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elif boatclass.lower() in ['dynamic']: # pragma: no cover
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elif boatclass.lower() in ['dynamic']: # pragma: no cover
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boatclass = 'dynamic'
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elif boatclass.lower() in ['slides','slide','slider','sliders']: # pragma: no cover
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elif boatclass.lower() in ['slides', 'slide', 'slider', 'sliders']: # pragma: no cover
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boatclass = 'slides'
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elif boatclass.lower() in ['c','c-boat']: # pragma: no cover
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elif boatclass.lower() in ['c', 'c-boat']: # pragma: no cover
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boatclass = 'c-boat'
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elif boatclass.lower() in ['coastal','coast']: # pragma: no cover
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elif boatclass.lower() in ['coastal', 'coast']: # pragma: no cover
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boatclass = 'coastal'
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elif boatclass.lower() in ['church','churchboat','finnish','finland']: # pragma: no cover
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elif boatclass.lower() in ['church', 'churchboat', 'finnish', 'finland']: # pragma: no cover
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boatclass = 'churchboat'
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except KeyError: # pragma: no cover
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except KeyError: # pragma: no cover
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boatclass = 'water'
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try:
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boattype = row['BoatType']
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except KeyError: # pragma: no cover
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except KeyError: # pragma: no cover
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boattype = '1x'
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try:
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sex = row['Gender']
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if sex.lower() in ['m','men','male','open']:
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if sex.lower() in ['m', 'men', 'male', 'open']:
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sex = 'male'
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elif sex.lower() in ['mix','mixed']:
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elif sex.lower() in ['mix', 'mixed']:
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sex = 'mixed'
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else:
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sex = 'female'
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except KeyError: # pragma: no cover
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except KeyError: # pragma: no cover
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sex = 'female'
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try:
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weightclass = row['WeightClass']
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if weightclass.lower() in ['hwt','h','o','heavy','open']:
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if weightclass.lower() in ['hwt', 'h', 'o', 'heavy', 'open']:
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weightclass = 'hwt'
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elif weightclass.lower() in ['lwt','l','light','lights','lighties']:
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elif weightclass.lower() in ['lwt', 'l', 'light', 'lights', 'lighties']:
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weightclass = 'lwt'
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except KeyError: # pragma: no cover
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except KeyError: # pragma: no cover
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weightclass = 'hwt'
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adaptiveclass = 'None'
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try:
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adaptiveclass = row['AdaptiveClass']
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if adaptiveclass.lower() in ['o','open','none','no']:
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if adaptiveclass.lower() in ['o', 'open', 'none', 'no']:
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adaptiveclass = 'None'
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except KeyError: # pragma: no cover
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except KeyError: # pragma: no cover
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adaptiveclass = 'None'
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try:
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skillclass = row['SkillClass']
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except KeyError: # pragma: no cover
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except KeyError: # pragma: no cover
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skillclass = 'Open'
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# finding existing standard
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existingstandards = CourseStandard.objects.filter(name=name,standardcollection=collection)
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#print(existingstandards,collection)
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if existingstandards: # pragma: no cover
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existingstandards = CourseStandard.objects.filter(
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name=name, standardcollection=collection)
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# print(existingstandards,collection)
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if existingstandards: # pragma: no cover
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existingstandards.update(
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name=name,
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coursedistance=coursedistance,
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@@ -155,10 +161,10 @@ def save_scoring(name,user,filename,id=0,notes=""):
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weightclass=weightclass,
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adaptiveclass=adaptiveclass,
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skillclass=skillclass,
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standardcollection = collection,
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standardcollection=collection,
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)
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else:
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#print('not')
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# print('not')
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standard = CourseStandard(
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name=name,
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coursedistance=coursedistance,
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@@ -172,8 +178,8 @@ def save_scoring(name,user,filename,id=0,notes=""):
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weightclass=weightclass,
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adaptiveclass=adaptiveclass,
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skillclass=skillclass,
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standardcollection = collection,
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)
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standardcollection=collection,
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)
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standard.save()
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