Merge ssh://git_opytex:/lafrite/recopytex into dev
This commit is contained in:
commit
1ffdd8676b
@ -2,16 +2,16 @@
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# encoding: utf-8
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NO_ST_COLUMNS = {
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"term": "Trimestre",
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"assessment": "Nom",
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"term": "Trimestre",
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"date": "Date",
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"exercise": "Exercice",
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"question": "Question",
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"competence": "Competence",
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"theme": "Domaine",
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"comment": "Commentaire",
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"score_rate": "Bareme",
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"is_leveled": "Est_nivele",
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"score_rate": "Bareme",
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}
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COLUMNS = {
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@ -50,7 +50,6 @@ def score_to_mark(x):
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f"The evaluation is out of range: {x[COLUMNS['score']]} at {x}"
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)
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return round(x[COLUMNS["score"]] * x[COLUMNS["score_rate"]] / 3, 2)
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#return round_half_point(x[COLUMNS["score"]] * x[COLUMNS["score_rate"]] / 3)
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if x[COLUMNS["score"]] > x[COLUMNS["score_rate"]]:
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raise ValueError(
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10
recopytex/scripts/config.py
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10
recopytex/scripts/config.py
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@ -0,0 +1,10 @@
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#!/usr/bin/env python
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# encoding: utf-8
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import yaml
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CONFIGPATH = "recoconfig.yml"
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with open(CONFIGPATH, "r") as configfile:
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config = yaml.load(configfile, Loader=yaml.FullLoader)
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160
recopytex/scripts/prepare_csv.py
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160
recopytex/scripts/prepare_csv.py
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@ -0,0 +1,160 @@
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#!/usr/bin/env python
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# encoding: utf-8
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import click
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from pathlib import Path
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from datetime import datetime
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from PyInquirer import prompt, print_json
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import pandas as pd
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import numpy as np
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from .config import config
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from ..config import NO_ST_COLUMNS
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class PromptAbortException(EOFError):
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def __init__(self, message, errors=None):
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# Call the base class constructor with the parameters it needs
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super(PromptAbortException, self).__init__("Abort questionnary", errors)
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def get_tribes(answers):
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""" List tribes based on subdirectory of config["source"] which have an "eleves.csv" file inside """
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return [
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p.name for p in Path(config["source"]).iterdir() if (p / "eleves.csv").exists()
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]
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def prepare_csv():
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items = new_eval()
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item = items[0]
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# item = {"tribe": "308", "date": datetime.today(), "assessment": "plop"}
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csv_output = (
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Path(config["source"])
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/ item["tribe"]
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/ f"{item['date']:%y%m%d}_{item['assessment']}.csv"
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)
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students = pd.read_csv(Path(config["source"]) / item["tribe"] / "eleves.csv")["Nom"]
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columns = list(NO_ST_COLUMNS.keys())
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items = [[it[c] for c in columns] for it in items]
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columns = list(NO_ST_COLUMNS.values())
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items_df = pd.DataFrame.from_records(items, columns=columns)
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for s in students:
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items_df[s] = np.nan
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items_df.to_csv(csv_output, index=False, date_format="%d/%m/%Y")
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click.echo(f"Saving csv file to {csv_output}")
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def new_eval(answers={}):
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click.echo(f"Préparation d'un nouveau devoir")
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eval_questions = [
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{"type": "input", "name": "assessment", "message": "Nom de l'évaluation",},
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{
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"type": "list",
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"name": "tribe",
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"message": "Classe concernée",
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"choices": get_tribes,
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},
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{
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"type": "input",
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"name": "date",
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"message": "Date du devoir (%y%m%d)",
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"default": datetime.today().strftime("%y%m%d"),
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"filter": lambda val: datetime.strptime(val, "%y%m%d"),
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},
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{
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"type": "list",
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"name": "term",
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"message": "Trimestre",
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"choices": ["1", "2", "3"],
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},
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]
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eval_ans = prompt(eval_questions)
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items = []
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add_exo = True
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while add_exo:
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ex_items = new_exercice(eval_ans)
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items += ex_items
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add_exo = prompt(
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[
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{
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"type": "confirm",
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"name": "add_exo",
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"message": "Ajouter un autre exercice",
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"default": True,
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}
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]
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)["add_exo"]
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return items
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def new_exercice(answers={}):
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exercise_questions = [
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{"type": "input", "name": "exercise", "message": "Nom de l'exercice"},
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]
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click.echo(f"Nouvel exercice")
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exercise_ans = prompt(exercise_questions, answers=answers)
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items = []
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add_item = True
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while add_item:
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try:
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item_ans = new_item(exercise_ans)
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except PromptAbortException:
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click.echo("Création de l'item annulée")
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else:
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items.append(item_ans)
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add_item = prompt(
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[
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{
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"type": "confirm",
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"name": "add_item",
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"message": f"Ajouter un autre item pour l'exercice {exercise_ans['exercise']}",
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"default": True,
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}
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]
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)["add_item"]
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return items
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def new_item(answers={}):
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item_questions = [
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{"type": "input", "name": "question", "message": "Nom de l'item",},
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{"type": "input", "name": "comment", "message": "Commentaire",},
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{
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"type": "list",
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"name": "competence",
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"message": "Competence",
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"choices": ["Cher", "Rep", "Mod", "Rai", "Cal", "Com"],
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},
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{"type": "input", "name": "theme", "message": "Domaine",},
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{
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"type": "confirm",
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"name": "is_leveled",
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"message": "Évaluation par niveau",
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"default": True,
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},
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{"type": "input", "name": "score_rate", "message": "Bareme"},
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{
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"type": "confirm",
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"name": "correct",
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"message": "Tout est correct?",
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"default": True,
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},
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]
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click.echo(f"Nouvelle question pour l'exercice {answers['exercise']}")
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item_ans = prompt(item_questions, answers=answers)
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if item_ans["correct"]:
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return item_ans
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raise PromptAbortException("Abort item creation")
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@ -39,7 +39,7 @@ def setup():
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@cli.command()
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def new_exam():
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""" Create new exam csv file """
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"""Create new exam csv file"""
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exam = Exam(**prompt_exam())
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if exam.path(".yml").exists():
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@ -112,7 +112,7 @@ def report(csv_file):
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try:
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date = datetime.strptime(date, "%y%m%d")
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except ValueError:
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date = None
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date = datetime.today().strptime(date, "%y%m%d")
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tribe = str(tribe_dir).split("/")[-1]
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@ -1,4 +1,77 @@
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pandas
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click
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papermill
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prompt_toolkit
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ansiwrap==0.8.4
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appdirs==1.4.3
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attrs==19.1.0
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backcall==0.1.0
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black==19.10b0
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bleach==3.1.0
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certifi==2019.6.16
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chardet==3.0.4
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Click==7.0
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colorama==0.4.1
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cycler==0.10.0
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decorator==4.4.0
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defusedxml==0.6.0
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entrypoints==0.3
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future==0.17.1
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idna==2.8
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importlib-resources==1.0.2
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ipykernel==5.1.3
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ipython==7.11.1
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ipython-genutils==0.2.0
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ipywidgets==7.5.1
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jedi==0.15.2
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Jinja2==2.10.3
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jsonschema==3.2.0
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jupyter==1.0.0
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jupyter-client==5.3.4
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jupyter-console==6.1.0
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jupyter-core==4.6.1
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jupytex==0.0.3
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kiwisolver==1.1.0
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Markdown==3.1.1
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MarkupSafe==1.1.1
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matplotlib==3.1.2
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mistune==0.8.4
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nbconvert==5.6.1
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nbformat==5.0.3
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notebook==6.0.3
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numpy==1.18.1
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pandas==0.25.3
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pandocfilters==1.4.2
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papermill==1.2.1
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parso==0.5.2
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pathspec==0.7.0
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pexpect==4.8.0
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pickleshare==0.7.5
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prometheus-client==0.7.1
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prompt-toolkit==1.0.14
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ptyprocess==0.6.0
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Pygments==2.5.2
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PyInquirer==1.0.3
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pyparsing==2.4.6
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pyrsistent==0.15.7
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python-dateutil==2.8.0
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pytz==2019.3
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PyYAML==5.3
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pyzmq==18.1.1
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qtconsole==4.6.0
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-e git+git_opytex:/lafrite/recopytex.git@7e026bedb24c1ca8bef3b71b3d63f8b0d6916e81#egg=Recopytex
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regex==2020.1.8
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requests==2.22.0
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scipy==1.4.1
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Send2Trash==1.5.0
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six==1.12.0
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tenacity==6.0.0
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terminado==0.8.3
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testpath==0.4.4
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textwrap3==0.9.2
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toml==0.10.0
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tornado==6.0.3
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tqdm==4.41.1
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traitlets==4.3.2
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typed-ast==1.4.1
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urllib3==1.25.8
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wcwidth==0.1.8
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webencodings==0.5.1
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widgetsnbextension==3.5.1
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7
setup.py
7
setup.py
@ -5,7 +5,7 @@ from setuptools import setup, find_packages
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setup(
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name='Recopytex',
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version='0.1',
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version='1.1.1',
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description='Assessment analysis',
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author='Benjamin Bertrand',
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author_email='',
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@ -13,6 +13,11 @@ setup(
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include_package_data=True,
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install_requires=[
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'Click',
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'pandas',
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'numpy',
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'papermill',
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'pyyaml',
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'PyInquirer',
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],
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entry_points='''
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[console_scripts]
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