librairie jugmenet_majoritaire python locale
- pour préparer une comparaison avec https://github.com/MieuxVoter/majority-judgment-library-python
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104
code/jugement_majoritaire/__init__.py
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104
code/jugement_majoritaire/__init__.py
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import json
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import sys
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verbose=False
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def collect_votes(votes,candidats,mentions,warnings):
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collect={}
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default_mention=mentions-1
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for vote in votes:
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# missing candidat in vote picks the worse one
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for candidat in candidats:
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if not candidat in vote:
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vote[candidat]=default_mention
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for candidat,mention in vote.items():
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if mention > default_mention or mention < 0:
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mention = default_mention
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warnings.append("index de mention invalide, soit la liste des mentions est erronnée soit la mention dans le vote est erronée")
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if candidat in collect:
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if mention in collect[candidat]:
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collect[candidat][mention]=collect[candidat][mention]+1
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else:
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collect[candidat][mention]=1
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else:
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collect[candidat]={mention:1}
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return collect
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def jugement_majoritaire(poll):
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votants=poll['votants']['decompte']
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candidats=poll['candidats']
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nombre_candidats=len(candidats)
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# l'ordre des mentions est de la meilleure à la pire (reject)
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nom_mentions=poll['mentions']
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mentions=len(nom_mentions)
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votes=poll["votation"]["votes"]
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if verbose:
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print('candidats:' + str(candidats))
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print(votes)
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warnings=[]
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collect=collect_votes(votes,list(candidats),mentions,warnings)
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if verbose:
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print(collect)
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votant_median_check= votants / 2 if votants % 2 == 0 else ((votants-1) / 2) +1
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votant_median=votants // 2 + votants % 2
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if votant_median_check != votant_median:
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print('[ERROR] le nombre median de votants semble erroné. contactez le developpeur de ce code.' + str(votant_median_check))
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merite={}
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mention_mediane={}
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merite_pourcent={}
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# cumul : du meilleur au pire
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# range_mentions = range(len(mentions))
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# cumul du pire au meilleur
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range_mentions = range(mentions-1,-1,-1)
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for candidat in list(candidats):
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vote=collect[candidat]
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cumul=0
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m=[0 for i in range(mentions)]
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mention_m=None
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pourcent=[0 for i in range(mentions)]
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for mention in range_mentions:
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if mention in vote:
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cumul=cumul+vote[mention]
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pourcent[mention]= ( 100 * vote[mention] ) / votants
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if cumul >= votant_median and mention_m is None:
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mention_m=mention
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m[mention]=cumul
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if cumul < votants:
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print('[ERROR] le cumul des votes doit correspondre au nombre de votants. contactez le developpeur de ce code.')
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mention_mediane[candidat]=mention_m
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merite[candidat]=m
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merite_pourcent[candidat]=pourcent
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if verbose:
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print(merite)
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print(mention_mediane)
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# les gagnants sont ceux qui ont la mention mediane minimale ( la meilleure )
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found=[]
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for mention in range(0,mentions):
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for candidat,merite_median in mention_mediane.items():
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if merite_median == mention:
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found.append({candidat:candidats[candidat]})
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if len(found) > 0:
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break
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if verbose:
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print(found)
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print(nom_mentions[mention])
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result = {'resultat':{'mention':nom_mentions[mention],'candidats':found},'merite':merite,'profil':merite_pourcent,"warnings":warnings}
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return result
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@@ -1,5 +1,6 @@
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import json
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import sys
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from jugement_majoritaire import jugement_majoritaire
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if len(sys.argv) > 1:
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poll_file=sys.argv[1]
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@@ -15,101 +16,6 @@ with open(poll_file,'r') as poll_fd:
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if verbose:
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print(poll)
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votants=poll['votants']['decompte']
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candidats=poll['candidats']
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nombre_candidats=len(candidats)
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# l'ordre des mentions est de la meilleure à la pire (reject)
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nom_mentions=poll['mentions']
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mentions=len(nom_mentions)
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default_mention=mentions-1
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votes=poll["votation"]["votes"]
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if verbose:
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print('candidats:' + str(candidats))
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print(votes)
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warnings=[]
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default_vote={}
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for candidat in candidats:
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default_vote[candidat]=default_mention
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collect={}
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for vote in votes:
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# missing candidat in vote picks the worse one
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for candidat in candidats:
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if not candidat in vote:
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vote[candidat]=default_mention
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for candidat,mention in vote.items():
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if mention > default_mention or mention < 0:
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mention = default_mention
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warnings.append("index de mention invalide, soit la liste des mentions est erronnée soit la mention dans le vote est erronée")
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if candidat in collect:
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if mention in collect[candidat]:
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collect[candidat][mention]=collect[candidat][mention]+1
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else:
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collect[candidat][mention]=1
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else:
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collect[candidat]={mention:1}
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if verbose:
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print(collect)
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votant_median_check= votants / 2 if votants % 2 == 0 else ((votants-1) / 2) +1
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votant_median=votants // 2 + votants % 2
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if votant_median_check != votant_median:
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print('[ERROR] le nombre median de votants semble erroné. contactez le developpeur de ce code.' + str(votant_median_check))
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merite={}
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mention_mediane={}
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merite_pourcent={}
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# cumul : du meilleur au pire
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# range_mentions = range(len(mentions))
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# cumul du pire au meilleur
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range_mentions = range(mentions-1,-1,-1)
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for candidat in candidats:
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vote=collect[candidat]
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cumul=0
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m=[0 for i in range(mentions)]
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mention_m=None
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pourcent=[0 for i in range(mentions)]
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for mention in range_mentions:
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if mention in vote:
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cumul=cumul+vote[mention]
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pourcent[mention]= ( 100 * vote[mention] ) / votants
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if cumul >= votant_median and mention_m is None:
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mention_m=mention
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m[mention]=cumul
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if cumul < votants:
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print('[ERROR] le cumul des votes doit correspondre au nombre de votants. contactez le developpeur de ce code.')
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mention_mediane[candidat]=mention_m
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merite[candidat]=m
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merite_pourcent[candidat]=pourcent
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if verbose:
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print(merite)
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print(mention_mediane)
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# les gagnants sont ceux qui ont la mention mediane minimale ( la meilleure )
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found=[]
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for mention in range(0,mentions):
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for candidat,merite_median in mention_mediane.items():
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if merite_median == mention:
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found.append({candidat:candidats[candidat]})
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if len(found) > 0:
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break
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if verbose:
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print(found)
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print(nom_mentions[mention])
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result = {'resultat':{'mention':nom_mentions[mention],'candidats':found},'merite':merite,'profil':merite_pourcent,"warnings":warnings}
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result = jugement_majoritaire(poll)
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print(json.dumps(result))
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