from grants.models import Grant

blank_clr = [0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]

round_5_grants = Grant.objects.filter(id__in=[656, 493, 494, 502, 504, 662]).all()

for g in round_5_grants:
    g.clr_prediction_curve = blank_clr
    g.positive_round_contributor_count = 0
    g.negative_round_contributor_count = 0
    g.amount_received_in_round = 0
    g.save()