First attempt at repartir_taches.py
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287
repartir_taches.py
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287
repartir_taches.py
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import yaml
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import argparse
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import csv
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from collections import defaultdict
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import typing as t
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from dataclasses import dataclass
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import random
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@dataclass
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class Task:
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name: str
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qualified_name: str
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descr: str
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notes: str
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time: str
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nb_groups: int
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assigned: t.Optional[list[int]] = None
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class Category(t.NamedTuple):
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name: str
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depth: int
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time: str
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tasks: list # of Category|Task, but mypy doesn't support recursive types
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intro: str
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def levenshtein_distance(s1, s2):
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"""Shamelessly stolen from https://stackoverflow.com/a/32558749"""
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if len(s1) > len(s2):
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s1, s2 = s2, s1
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distances = range(len(s1) + 1)
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for i2, c2 in enumerate(s2):
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distances_ = [i2 + 1]
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for i1, c1 in enumerate(s1):
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if c1 == c2:
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distances_.append(distances[i1])
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else:
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distances_.append(
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1 + min((distances[i1], distances[i1 + 1], distances_[-1]))
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)
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distances = distances_
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return distances[-1]
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class UnionFind:
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parent_of: list[int]
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_group_size: list[int]
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def __init__(self, elt_count: int):
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self.parent_of = list(range(elt_count))
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self._group_size = [1] * elt_count
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def root(self, elt: int) -> int:
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if self.parent_of[elt] == elt:
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return elt
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self.parent_of[elt] = self.root(self.parent_of[elt])
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return self.parent_of[elt]
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def union(self, elt1: int, elt2: int) -> None:
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elt1 = self.root(elt1)
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elt2 = self.root(elt2)
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if elt1 == elt2:
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return
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if self._group_size[elt1] > self._group_size[elt2]:
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self.union(elt2, elt1)
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else:
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self._group_size[elt2] += self._group_size[elt1]
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self._group_size[elt1] = 0
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self.parent_of[self.root(elt1)] = self.root(elt2)
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def group_size(self, elt: int) -> int:
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return self._group_size[self.root(elt)]
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class Config:
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tasks_path: str
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people_path: str
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choristes: list[str]
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ca: list[str]
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taches: Category
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env: dict[str, str]
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def __init__(self, tasks_path: str, people_path: str):
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self.tasks_path = tasks_path
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self.people_path = people_path
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self.choristes = []
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self.ca = []
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self.env = {}
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self._load_tasks()
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self._load_people()
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def _load_tasks(self) -> None:
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with open(self.tasks_path, "r") as h:
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raw_tasks = yaml.safe_load(h)
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assert "taches" in raw_tasks
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self.env = raw_tasks["env"]
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self.taches = Category(
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name="",
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depth=0,
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time="",
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intro="",
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tasks=list(map(self._load_task_cat, raw_tasks["taches"])),
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)
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self.ca = raw_tasks["CA"]
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def _load_task_cat(
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self, cat: dict[str, t.Any], depth: int = 1, qual: str = ""
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) -> Task | Category:
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if "cat" not in cat:
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return self._load_task(cat, qual)
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assert "taches" in cat
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nqual = cat["cat"]
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if qual:
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nqual = f"{qual} - {nqual}"
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return Category(
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name=cat["cat"],
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depth=depth,
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time=cat.get("heure", ""),
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intro=cat.get("intro", ""),
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tasks=list(
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map(
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lambda x: self._load_task_cat(x, depth=depth + 1, qual=nqual),
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cat["taches"],
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)
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),
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)
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def _load_task(self, task: dict[str, t.Any], qual: str) -> Task:
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for label in ("nom", "descr"):
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assert label in task
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qual_name = f'{qual}{" - " if qual else ""}{task["nom"]}'
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return Task(
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name=task["nom"],
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qualified_name=qual_name,
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descr=task["descr"].format(**self.env),
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notes=task.get("notes", ""),
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time=task.get("heure", ""),
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nb_groups=int(task.get("nb_groups", 1)),
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)
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def _load_people(self) -> None:
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with open(self.people_path, "r") as h:
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raw_people: list[dict[str, str]] = list(csv.DictReader(h))
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for key in "Nom", "Prénom":
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assert key in raw_people[0]
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raw_people.sort(key=lambda x: x["Prénom"])
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# Normalize
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def normalize(x: str) -> str:
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x = x.strip()
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if " " in x:
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return " ".join(map(normalize, x.split()))
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return x[0].upper() + x[1:].lower()
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for pers in raw_people:
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pers["Nom"] = normalize(pers["Nom"])
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pers["Prénom"] = normalize(pers["Prénom"])
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# Group by name proximity
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name_uf = UnionFind(len(raw_people))
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for id1, pers1 in enumerate(raw_people):
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for id2, pers2 in enumerate(raw_people):
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if (
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id1 < id2
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and levenshtein_distance(pers1["Prénom"], pers2["Prénom"]) <= 2
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):
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name_uf.union(id1, id2)
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_name_groups: dict[int, list[dict]] = defaultdict(list)
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for pers_id, pers in enumerate(raw_people):
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_name_groups[name_uf.root(pers_id)].append(pers)
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name_groups: list[list[dict]] = list(_name_groups.values())
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# Disambiguate names
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def make_short_name(pers: dict, disamb: int = 0) -> str:
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if disamb:
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return f"{pers['Prénom']} {pers['Nom'][:disamb]}."
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else:
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return pers["Prénom"]
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self.choristes = []
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for grp in name_groups:
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if len(grp) == 1:
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self.choristes.append(make_short_name(grp[0]))
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else:
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req_letters = 1
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while req_letters < 100: # safeguard
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short_names = list(
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map(lambda x: make_short_name(x, req_letters), grp)
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)
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if len(set(short_names)) == len(short_names):
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# No clashes
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self.choristes += short_names
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break
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req_letters += 1
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self.choristes.sort()
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def constituer_groupes(choristes: list[str]) -> list[list[str]]:
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"""Répartir aléatoirement les gens en groupes"""
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TAILLE_GROUPE: int = 4
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nb_choristes = len(choristes)
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groupes: list[list[str]] = []
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random.shuffle(choristes)
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pos = 0
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for _ in range(nb_choristes // TAILLE_GROUPE):
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groupes.append(choristes[pos : pos + TAILLE_GROUPE])
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pos += TAILLE_GROUPE
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reste = choristes[pos:]
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if len(reste) == TAILLE_GROUPE - 1:
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groupes.append(reste)
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else:
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for gid, pers in enumerate(reste):
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groupes[gid].append(pers)
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for groupe in groupes:
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groupe.sort()
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random.shuffle(groupes)
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return groupes
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def assigner_taches(task: Category | Task, group_count: int, cur_group: int = 0) -> int:
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"""Assigne les tâches aux groupes (round-robin)"""
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if isinstance(task, Task):
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task.assigned = list(
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map(
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lambda x: x % group_count,
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range(cur_group, cur_group + task.nb_groups),
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)
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)
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return (cur_group + task.nb_groups) % group_count
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for subtask in task.tasks:
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cur_group = assigner_taches(subtask, group_count, cur_group)
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return cur_group
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def export_short(config: Config, groupes: list[list[str]]) -> str:
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"""Exporte la liste des tâches au format court (pour vérification)"""
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def export_taskcat(grp: Task | Category) -> str:
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if isinstance(grp, Task):
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return f'* {grp.qualified_name}: {", ".join(map(lambda x: str(x+1), grp.assigned))}'
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out = "\n" + "#" * (2 + grp.depth) + f" {grp.name}"
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if grp.time:
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out += f" ({grp.time})"
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out += "\n\n"
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if grp.intro:
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out += grp.intro + "\n\n"
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out += "\n".join(map(export_taskcat, grp.tasks))
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return out
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out = "## Groupes\n\n"
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for g_id, group in enumerate(groupes):
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out += f"* Groupe {g_id+1} : " + ", ".join(group) + "\n"
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out += "\n## Tâches\n"
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out += "\n".join(map(export_taskcat, config.taches.tasks))
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return out
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def export_latex(config: Config, groupes: list[list[str]]) -> str:
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"""Exporter la liste des tâches en LaTeX (à insérer dans un template)"""
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def main():
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parser = argparse.ArgumentParser("Répartition des tâches")
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parser.add_argument("taches", help="Fichier yaml contenant les tâches")
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parser.add_argument("choristes", help="Fichier CSV contenant les choristes")
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args = parser.parse_args()
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config = Config(args.taches, args.choristes)
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if __name__ == "__main__":
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main()
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