Feat: clean repository

bopytex/__init__.py

@@ -1,10 +1,6 @@
 #!/usr/bin/env python
 # encoding: utf-8
 
-
-#from .bopytex import subject_metadatas, crazy_feed, pdfjoin
-
-
 # -----------------------------
 # Reglages pour 'vim'
 # vim:set autoindent expandtab tabstop=4 shiftwidth=4:

bopytex/filters.py

@@ -1,33 +0,0 @@
-#!/usr/bin/env python
-# encoding: utf-8
-
-"""
-Custom filter for Bopytex
-"""
-
-__all__ = ["do_calculus"]
-
-def do_calculus(steps, name="A", sep="=", end="", joining=" \\\\ \n"):
-    """Display properly the calculus
-
-    Generate this form string:
-    "name & sep & a_step end joining"
-
-    :param steps: list of steps
-    :returns: latex string ready to be endbeded
-
-
-    """
-
-    ans = joining.join([
-        name + " & "
-        + sep + " & "
-        + str(s) + end for s in steps
-        ])
-    return ans
-
-
-# -----------------------------
-# Reglages pour 'vim'
-# vim:set autoindent expandtab tabstop=4 shiftwidth=4:
-# cursor: 16 del

bopytex/lib/pythagore.py

@@ -1,38 +0,0 @@
-#!/usr/bin/env python
-# encoding: utf-8
-
-from random import randint
-
-def pythagore_triplet(v_min = 1, v_max = 10):
-    """Random pythagore triplet generator
-
-    :param v_min: minimum in randint
-    :param v_max: max in randint
-    :returns: (a,b,c) such that a^2 + b^2 = c^2
-
-    """
-    u = randint(v_min,v_max)
-    v = randint(v_min,v_max)
-    while v == u:
-        v = randint(v_min,v_max)
-
-    u, v = max(u,v), min(u,v)
-
-    return (u**2-v**2 , 2*u*v, u**2 + v**2)
-
-if __name__ == '__main__':
-    print(pythagore_triplet())
-
-    for j in range(1,10):
-        for i in range(j,10):
-            print((i**2-j**2 , 2*i*j, i**2 + j**2))
-
-
-
-
-
-
-# -----------------------------
-# Reglages pour 'vim'
-# vim:set autoindent expandtab tabstop=4 shiftwidth=4:
-# cursor: 16 del 

bopytex/macros/poly2Deg.tex

@@ -1,33 +0,0 @@
-\Block{macro solveEquation(P)}
-
-    On commence par calculer le discriminant de $P(x) = \Var{P}$.
-    \begin{eqnarray*}
-        \Delta & = & b^2-4ac \\
-        \Var{P.delta.explain()|calculus(name="\\Delta")}
-    \end{eqnarray*}
-
-    \Block{if P.delta > 0}
-    comme $\Delta = \Var{P.delta} > 0$ donc $P$ a deux racines
-
-    \begin{eqnarray*}
-        x_1 & = & \frac{-b - \sqrt{\Delta}}{2a} =  \frac{\Var{-P.b} - \sqrt{\Var{P.delta}}}{2 \times \Var{P.a}} = \Var{P.roots()[0] } \\
-        x_2 & = & \frac{-b + \sqrt{\Delta}}{2a} =  \frac{\Var{-P.b} + \sqrt{\Var{P.delta}}}{2 \times \Var{P.a}} = \Var{P.roots()[1] }
-    \end{eqnarray*}
-
-    Les solutions de l'équation $\Var{P} = 0$ sont donc $\mathcal{S} = \left\{ \Var{P.roots()[0]}; \Var{P.roots()[1]} \right\}$
-
-    \Block{elif P.delta == 0}
-    Comme $\Delta = 0$ donc $P$ a une racine
-
-    \begin{eqnarray*}
-        x_1 = \frac{-b}{2a} = \frac{-\Var{P.b}}{2\times \Var{P.a}} = \Var{P.roots()[0]} \\
-    \end{eqnarray*}
-
-    La solution de $\Var{P} = 0$ est donc $\mathcal{S} = \left\{ \Var{P.roots()[0]}\right\}$
-
-    \Block{else}
-    Alors $\Delta = \Var{P.delta} < 0$ donc $P$ n'a pas de racine donc l'équation $\Var{P} = 0$ n'a pas de solution.
-
-    \Block{endif}
-
-\Block{endmacro}

examples/tpl_add_fraction.tex

@@ -1,19 +0,0 @@
-% vim:ft=tex:
-%
-\documentclass[12pt]{article}
-
-\begin{document}
-
-\section{Ajouts de fractions}
-
-Adding two fractions
-%- set e = Expression.random("{a} / {b} + {c} / {k*b}", ["b > 1", "k>1"])
-\[
-    A = \Var{e}
-\]
-Solution 
-\[
-    \Var{e.simplify().explain() | join('=')}
-\]
-
-\end{document}

test/students.csv

@@ -1,6 +0,0 @@
-nom,classe,elo
-Bob,1ST,1000
-Pipo,1ST,1300
-Popi,1ST,100
-Boule,1ST,4000
-Bill,1ST,1300

test/templates/tpl_test.tex

@@ -1,22 +0,0 @@
-\documentclass[12pt]{article}
-\usepackage[utf8x]{inputenc}
-\usepackage[francais]{babel}
-\usepackage[T1]{fontenc}
-\usepackage{amssymb}
-\usepackage{amsmath}
-\usepackage{amsfonts}
-
-
-\title{
-    Tests
-}
-\author{
-    Benjamin Bertrand
-}
-
-\begin{document}
-\maketitle
-
-
-
-\end{document}

test/test_bopytex.py

@@ -1,212 +0,0 @@
-#!/usr/bin/env python
-# encoding: utf-8
-
-
-import pytest
-import os
-from pathlib import Path
-from shutil import copyfile
-from bopytex.bopytex import produce_and_compile, subject_metadatas
-
-SNIPPETS_PATH = Path("snippets/")
-TEST_PATH = Path("test")
-TEST_TEMPLATE_PATH = TEST_PATH / "templates/"
-
-
-@pytest.fixture
-def prepare_test_template(tmp_path):
-    """ Create a tmp directory, copy snippets inside
-
-    return tmp directory name
-    """
-    tmp = tmp_path
-    snippets = TEST_TEMPLATE_PATH.glob("tpl_*.tex")
-    for s in snippets:
-        copyfile(s, tmp / s.name)
-    csvs = TEST_PATH.glob("*.csv")
-    for s in csvs:
-        copyfile(s, tmp / s.name)
-
-    prev_dir = Path.cwd()
-    os.chdir(tmp)
-    yield tmp
-    os.chdir(prev_dir)
-
-
-@pytest.fixture
-def prepare_snippets(tmp_path):
-    """ Create a tmp directory, copy snippets inside
-
-    return tmp directory name
-    """
-    tmp = tmp_path
-    snippets = SNIPPETS_PATH.glob("tpl_*.tex")
-    for s in snippets:
-        copyfile(s, tmp / s.name)
-
-    prev_dir = Path.cwd()
-    os.chdir(tmp)
-    yield tmp
-    os.chdir(prev_dir)
-
-
-def test_produce_and_compile_base(prepare_test_template):
-    test_tpl = list(Path(".").glob("tpl_*.tex"))
-    assert [tpl.name for tpl in test_tpl] == ["tpl_test.tex"]
-    for tpl in test_tpl:
-        produce_and_compile(
-            {
-                "template": tpl,
-                "working_dir": None,
-                "only_corr": False,
-                "students_csv": None,
-                "number_subjects": 1,
-                "dirty": False,
-                "no_compile": False,
-                "no_join": False,
-                "corr": False,
-                "crazy": False,
-            }
-        )
-
-
-def test_produce_and_compile_csv(prepare_test_template):
-    test_tpl = Path(".").glob("tpl_*.tex")
-    for tpl in test_tpl:
-        options = {
-            "template": tpl,
-            "working_dir": None,
-            "only_corr": False,
-            "students_csv": "students.csv",
-            "number_subjects": 1,
-            "dirty": False,
-            "no_compile": False,
-            "no_join": False,
-            "corr": False,
-            "crazy": False,
-        }
-        # produce_and_compile(options)
-
-
-def test_metadatas(prepare_test_template):
-    test_tpl = Path(".").glob("tpl_*.tex")
-    for tpl in test_tpl:
-        options = {
-            "template": tpl,
-            "working_dir": None,
-            "only_corr": False,
-            "students_csv": "students.csv",
-            "number_subjects": 1,
-            "dirty": False,
-            "no_compile": False,
-            "no_join": False,
-            "corr": False,
-            "crazy": False,
-        }
-        metadatas = subject_metadatas(options)
-        meta = [
-            {
-                "num": "01",
-                "nom": "Bob",
-                "classe": "1ST",
-                "elo": "1000",
-                "texfile": "01_test.tex",
-                "template": "tpl_test.tex",
-                "directory": ".",
-            },
-            {
-                "num": "02",
-                "nom": "Pipo",
-                "classe": "1ST",
-                "elo": "1300",
-                "texfile": "02_test.tex",
-                "template": "tpl_test.tex",
-                "directory": ".",
-            },
-            {
-                "num": "03",
-                "nom": "Popi",
-                "classe": "1ST",
-                "elo": "100",
-                "texfile": "03_test.tex",
-                "template": "tpl_test.tex",
-                "directory": ".",
-            },
-            {
-                "num": "04",
-                "nom": "Boule",
-                "classe": "1ST",
-                "elo": "4000",
-                "texfile": "04_test.tex",
-                "template": "tpl_test.tex",
-                "directory": ".",
-            },
-            {
-                "num": "05",
-                "nom": "Bill",
-                "classe": "1ST",
-                "elo": "1300",
-                "texfile": "05_test.tex",
-                "template": "tpl_test.tex",
-                "directory": ".",
-            },
-        ]
-        assert metadatas == meta
-
-
-def test_pdfjoin_current_directory(prepare_test_template):
-    wdir = prepare_test_template
-    pass
-
-
-def test_pdfjoin_deep_directory():
-    pass
-
-
-def test_pdfjoin_dont_remove():
-    pass
-
-
-def test_subject_names():
-    pass
-
-
-def test_feed_texfiles():
-    pass
-
-
-def test_tex2pdf_current_directory():
-    pass
-
-
-def test_tex2pdf_deep_directory():
-    pass
-
-
-def test_activate_solution():
-    pass
-
-
-# def test_snippets(prepare_snippets):
-#    snippets = list(Path(".").glob("tpl_*.tex"))
-#    for tpl in snippets:
-#        produce_and_compile(
-#            {
-#                "template": tpl,
-#                "working_dir": None,
-#                "only_corr": False,
-#                "students_csv": None,
-#                "number_subjects": 1,
-#                "dirty": False,
-#                "no_compile": False,
-#                "no_join": False,
-#                "corr": False,
-#                "crazy": False,
-#            }
-#        )
-
-
-# -----------------------------
-# Reglages pour 'vim'
-# vim:set autoindent expandtab tabstop=4 shiftwidth=4:
-# cursor: 16 del