470 lines
16 KiB
Python
470 lines
16 KiB
Python
from django.db import models
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from django.db.models import Q
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import re
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from jarvis.core.global_vars import ROUTINE_TYPE_CHOICE
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from jarvis.tools.models import (
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Markdownizable,
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Seasonisable,
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max_even_if_none,
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)
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# from jarvis.followup.models import ROUTINE_TYPE_CHOICE
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class Educative(Markdownizable):
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"""
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Classe `mère` educative. En trampoline tout est un éducatif : un saut, un enchainement, une
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série de compétition, ….
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Level (skill) :
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Toutes les figures appartiennent à un niveau. Un niveau peut contenir plusieurs figures.
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Par défaut, le niveau d'une figure est son coéfficient de difficulté (exprimé en 10ème
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pour avoir des nombres entiers) auquel on ajoute 1 pour les positions tendue.
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Exemples :
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- saut groupé, saut carpé joint et saut écart ==> niveau 0
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- salto avant groupé, salto arrière groupé ==> niveau 5
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- salto avant carpé, barani groupé, salto arrière carpé ==> niveau 6
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- salto avant tendu, salto arrière tendu, barani tendu ==> niveau 7
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En plus de cela, il y a une limite minimum : le niveau d’une figure ne peut pas être plus
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petit que le niveau maximum de ses prérequis.
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Le niveau, avec le rang, ont pour but d’aider les coaches à planifier l’évolution et l’
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apprentissage des figures les unes par rapport aux autres.
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Level (routine) :
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Toutes les séries ont également un niveau. Par défaut le niveau d'une série est le niveau
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maximum des figures qui composent la série.
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Rank (skill) :
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Le rang permet, en plus du `level` (niveau), de classer les figures entre elles, de leur
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donner un ordre (informatif). Le rang d’une figure est calculé par rapport aux prérequis et
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au niveau : par défaut le rang d’une figure est le maximum entre le niveau maximum de ses
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prérequis plus un et le niveau de la figure.
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Le rang, avec le niveau, ont pour but d’aider les coaches à planifier l’évolution et
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l’apprentissage des figures les unes par rapport aux autres.
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"""
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AGE_CHOICES = [
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(6, "6-7"),
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(7, "7-8"),
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(8, "8-9"),
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(9, "9-10"),
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(10, "10-11"),
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(11, "11-12"),
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(12, "12-13"),
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(13, "13-14"),
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(14, "14-15"),
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(15, "15-16"),
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(16, "16-17"),
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(17, "17+"),
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]
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class Meta:
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verbose_name = "Educatif"
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verbose_name_plural = "Educatifs"
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ordering = ["long_label", "short_label"] # 'level',
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long_label = models.CharField(max_length=255, verbose_name="Long Name")
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short_label = models.CharField(max_length=255, verbose_name="Short Name")
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difficulty = models.DecimalField(
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max_digits=3, decimal_places=1, verbose_name="Difficulty", default=0.000
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)
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level = models.PositiveSmallIntegerField(verbose_name="Level", default=0)
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rank = models.PositiveSmallIntegerField(verbose_name="Rank", default=0)
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educatives = models.ManyToManyField(
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"self", related_name="educatives_of", blank=True, symmetrical=False
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)
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prerequisites = models.ManyToManyField(
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"self", related_name="prerequisite_of", blank=True, symmetrical=False
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)
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age_boy_with_help = models.PositiveSmallIntegerField(
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choices=AGE_CHOICES, verbose_name="Boy's age with help", default=6
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)
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age_boy_without_help = models.PositiveSmallIntegerField(
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choices=AGE_CHOICES, verbose_name="Boy's age without help", default=6
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)
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age_boy_chained = models.PositiveSmallIntegerField(
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choices=AGE_CHOICES, verbose_name="Boy's age chained", default=6
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)
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age_boy_masterised = models.PositiveSmallIntegerField(
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choices=AGE_CHOICES, verbose_name="Boy's age masterised", default=6
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)
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age_girl_with_help = models.PositiveSmallIntegerField(
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choices=AGE_CHOICES, verbose_name="Girl's age with help", default=6
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)
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age_girl_without_help = models.PositiveSmallIntegerField(
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choices=AGE_CHOICES, verbose_name="Girl's age without help", default=6
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)
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age_girl_chained = models.PositiveSmallIntegerField(
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choices=AGE_CHOICES, verbose_name="Girl's age chained", default=6
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)
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age_girl_masterised = models.PositiveSmallIntegerField(
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choices=AGE_CHOICES, verbose_name="Girl's age masterised", default=6
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)
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# is_competitive = models.BooleanField(default=False)
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def __str__(self):
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return f"{self.long_label} ({self.short_label} - {self.difficulty})"
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def breadcrumb(self, path=None):
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"""
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Renvoie le breadcrumb pour l'édutatif courant.
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Exemple :
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>>> s = Skill.objects.get(pk=44)
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>>> s.breadcrumb()
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"""
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if path is None:
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path = []
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path = [self] + path
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if self.prerequisites.all().count() == 0:
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return [path]
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path_list = []
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for prerequisite in self.prerequisites.all():
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if prerequisite.id == self.id:
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return [self]
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new_paths = prerequisite.breadcrumb(path)
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for new_path in new_paths:
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path_list.append(new_path)
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return path_list
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class PrerequisiteClosure(models.Model):
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"""
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Closure table de prérequis
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"""
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class Meta:
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unique_together = ("descendant", "ancestor", "level", "path")
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descendant = models.ForeignKey(
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Educative, on_delete=models.CASCADE, related_name="ancestor"
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)
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ancestor = models.ForeignKey(
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Educative, on_delete=models.CASCADE, related_name="descendants"
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)
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level = models.PositiveIntegerField()
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path = models.PositiveIntegerField()
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def __str__(self):
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return f"""{self.ancestor.long_label} -> {self.descendant.long_label} ({self.level}|{self.path})""" # pylint: disable=line-too-long
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class TouchPosition(models.Model):
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"""
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Classe représentant les différentes position d'arrivée/départ (landing position) en trampoline.
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"""
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class Meta:
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verbose_name = "Landing"
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verbose_name_plural = "Landings"
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ordering = ["long_label", "short_label", "is_default", "allowed_in_competition"]
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long_label = models.CharField(max_length=30, verbose_name="Long label")
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short_label = models.CharField(max_length=15, verbose_name="Short label")
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allowed_in_competition = models.BooleanField(
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verbose_name="Allowed in competition", default=True
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)
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is_default = models.BooleanField(verbose_name="Défault ?", default=False)
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def __str__(self):
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return f"{self.long_label}"
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def get_default_position():
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"""
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Renvoie la position d'arrivée/départ par définie par défaut si elle existe. Sinon, renvoie None.
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"""
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try:
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return TouchPosition.objects.get(is_default=True).id
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except TouchPosition.DoesNotExist:
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return None
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class Skill(Educative):
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"""
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Classe représentant une figure (un mouvement, un saut acrobatique). Elle hérite de la classe
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`Educative`.
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"""
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# SELECT * FROM `objective_skill`
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# WHERE educative_ptr_id NOT IN (
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# SELECT DISTINCT(from_educative_id) FROM `objective_educative_prerequisite`
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# )
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#
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# SELECT * FROM `objective_skill`, `objective_educative`
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# WHERE `objective_educative`.id = `objective_skill`.educative_ptr_id
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class Meta:
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verbose_name = "Skill"
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verbose_name_plural = "Skills"
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POSITION_CHOICES = (
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("0", "none"),
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("o", "tuck"),
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("c", "puck"),
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("<", "pike"),
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("L", "half pike"),
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("/", "straight"),
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("//", "straddle"),
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)
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ROTATION_CHOICES = (
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(0, "none"),
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(1, "frontward"),
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(2, "backward"),
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)
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position = models.CharField(max_length=2, choices=POSITION_CHOICES)
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departure = models.ForeignKey(
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TouchPosition,
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related_name="depart_of",
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default=get_default_position,
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verbose_name="Take-off position",
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on_delete=models.CASCADE,
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)
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landing = models.ForeignKey(
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TouchPosition,
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related_name="landing_of",
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default=get_default_position,
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verbose_name="Landing position",
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on_delete=models.CASCADE,
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)
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rotation_type = models.PositiveSmallIntegerField(
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choices=ROTATION_CHOICES, verbose_name="Type de rotation"
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)
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rotation = models.PositiveSmallIntegerField(verbose_name="¼ de rotation")
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twist = models.PositiveSmallIntegerField(verbose_name="½ Vrille")
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notation = models.CharField(max_length=10)
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simplified_notation = models.CharField(
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max_length=10, verbose_name="Notation simplifiée"
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)
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is_competitive = models.BooleanField(default=False)
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# importance = models.PositiveSmallIntegerField(default = 1)
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def __str__(self):
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return f"{self.long_label} ({self.notation})"
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class Routine(Educative):
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"""
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Classe représentant une combinaison de plusieurs figures. Elle hérite de la classe
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`Educative`. Cette classe permet donc de représenter toute combinaison de figures.
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Il existe 4 types de combinaison :
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- les combinaisons :
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* tout ensemble de plus d'un <Skill>
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* <Skill> liés par des "&"
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- les enchaînements :
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* ce sont des combinaisons particulière : les saut doivent être enchaînés.
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* Peu importe le nombre de <Skill>.
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* <Skill> liés par des "-"
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* is_routine = True
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- les enchaînements de compétition (série de compétition) :
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* ce sont des enchaûnements particuliers :
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* les sauts doivent être enchaînés,
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* au nombre de 10 (pas plus, pas moins),
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* composé que de <Skill> autorisés en compétition,
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* etc.
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* is_routine = True
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* is_competitive = True
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- les éducatifs (enchainements courts en vue d'apprendre une figure précise)
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"""
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class Meta:
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verbose_name = "Routine"
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verbose_name_plural = "Routines"
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jumps = models.ManyToManyField(
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Skill, through="RoutineSkill", verbose_name="routine"
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)
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is_active = models.BooleanField(default=True)
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is_routine = models.BooleanField(default=False)
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is_competitive = models.BooleanField(default=False)
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# def save(self, *args, **kwargs):
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# """Calcule les informations de qualité de l'intensité de entraînement et sauve les informations."""
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# super().save(*args, **kwargs)
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def __str__(self):
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return f"{self.long_label} ({self.short_label})"
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def inline_str(self):
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tmp_string = ""
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for skill in self.jumps.all():
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if self.is_routine:
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tmp_string = tmp_string + " - " + str(skill)
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else:
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tmp_string = tmp_string + " & " + str(skill)
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return tmp_string[3:]
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def compute_informations(self):
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"""Cette fonction a pour but d'assurer la cohérence des informations d'une combinaison.
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La fonction vérifie :
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- les âges pour les filles et garçons,
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- le rang,
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- le niveau,
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- la difficulté
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- si c'est une routine (série)
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- si c'est une routine (série) de compétition
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A chaque fois qu'on le peut, on garde les informations entrées par les utilisateurs
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néanmoins on vérifie qu'il n'a pas encodé n'importe quoi.
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"""
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rank = 0
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level = 0
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age_boy_with_help = 0
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age_girl_with_help = 0
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age_boy_without_help = 0
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age_girl_without_help = 0
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age_boy_chained = 0
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age_girl_chained = 0
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age_boy_masterised = 0
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age_girl_masterised = 0
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difficulty = 0
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# is_routine = False
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is_competitive = True
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print(self.is_competitive)
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print(self.is_routine)
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for skill_link in self.skill_links.all():
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skill = skill_link.skill
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difficulty += skill.difficulty
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level = max(skill.level, level)
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rank = max(skill.rank + 1, rank)
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if not skill.is_competitive:
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is_competitive = False
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# Age boy computing
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age_boy_with_help = max_even_if_none(
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skill.age_boy_with_help, age_boy_with_help
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)
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age_boy_without_help = max_even_if_none(
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skill.age_boy_without_help, age_boy_without_help
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)
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age_boy_chained = max_even_if_none(skill.age_boy_chained, age_boy_chained)
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age_boy_masterised = max_even_if_none(
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skill.age_boy_masterised, age_boy_masterised
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)
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# Age girl computing
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age_girl_with_help = max_even_if_none(
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skill.age_girl_with_help, age_girl_with_help
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)
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age_girl_without_help = max_even_if_none(
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skill.age_girl_without_help, age_girl_without_help
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)
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age_girl_chained = max_even_if_none(
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skill.age_girl_chained, age_girl_chained
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)
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age_girl_masterised = max_even_if_none(
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skill.age_girl_masterised, age_girl_masterised
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)
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if self.skill_links.all().count() != 10:
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is_competitive = False
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self.is_competitive = is_competitive
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self.difficulty = difficulty
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self.level = max(self.level, level)
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self.rank = max(self.rank, rank)
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self.age_boy_with_help = max(self.age_boy_with_help, age_boy_with_help)
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self.age_boy_without_help = max(self.age_boy_without_help, age_boy_without_help)
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self.age_boy_chained = max(self.age_boy_chained, age_boy_chained)
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self.age_boy_masterised = max(self.age_boy_masterised, age_boy_masterised)
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self.age_girl_with_help = max(self.age_girl_with_help, age_girl_with_help)
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self.age_girl_without_help = max(
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self.age_girl_without_help, age_girl_without_help
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)
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self.age_girl_chained = max(self.age_girl_chained, age_girl_chained)
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self.age_girl_masterised = max(self.age_girl_masterised, age_girl_masterised)
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self.save()
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def contains_basic_jumps(self):
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"""
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Renvoie True si la série contient au moins un saut de base, False sinon.
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"""
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return self.skill_links.filter(skill__notation__in=["//", "<", "o"]).exists()
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def contains_basic_fall(self):
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"""
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Renvoie True si la série contient au moins un tomber de base, False sinon.
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"""
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return self.skill_links.filter(
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skill__landing__long_label__in=["Assis", "Dos", "Ventre"]
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).exists()
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def contains_basic_salto(self):
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"""
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Renvoie True si la série contient au moins un salto/barani de base,
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False sinon.
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"""
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return self.skill_links.filter(
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Q(skill__notation__icontains=".41") | Q(skill__notation__icontains="4.-")
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).exists()
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def contains_basic_three_quarters(self):
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"""
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Renvoie True si la série contient au moins un 3/4 de salto, False sinon.
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"""
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return self.skill_links.filter(
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Q(skill__notation__icontains=".3") | Q(skill__notation__icontains="3.")
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).exists()
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def contains_basic_twist(self):
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"""
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Renvoie True si la série contient au moins une vrille de base, False sinon.
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"""
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return self.skill_links.filter(
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Q(skill__notation__icontains=".43") | Q(skill__notation__icontains="4.2")
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).exists()
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def contains_double(self):
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"""
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Renvoie True si la série contient au moins un double, False sinon.
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"""
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return self.skill_links.filter(
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Q(skill__notation__icontains=".8") | Q(skill__notation__icontains="8.")
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).exists()
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def contains_triple(self):
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"""
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Renvoie True si la série contient au moins un triple, False sinon.
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"""
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return self.skill_links.filter(
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Q(skill__notation__icontains=".12") | Q(skill__notation__icontains="12.")
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).exists()
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class RoutineSkill(models.Model):
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"""
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Classe de liaison permettant de liée une figure à une série. (relation n-n)
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"""
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class Meta:
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ordering = ("rank",)
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routine = models.ForeignKey(
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Routine, on_delete=models.CASCADE, default=None, related_name="skill_links"
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)
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skill = models.ForeignKey(
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Skill, on_delete=models.CASCADE, default=None, related_name="routine_links"
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)
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rank = models.PositiveSmallIntegerField()
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def __str__(self):
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return f"{self.rank} - {self.routine.short_label} : {self.skill.short_label}"
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