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16 changed files with 247 additions and 136 deletions

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@ -1,7 +1,7 @@
#!/usr/bin/env python
# encoding: utf-8
from .calculus import Expression, Integer, Decimal, render, Polynomial, Fraction#, random_list,
from .calculus import Expression, render, random
# Expression.set_render('tex')

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@ -12,7 +12,6 @@ Make calculus as a student
Expression is the classe wich handle all calculus. It can randomly generate or import calculus, simplify them and explain them as a student would do.
>>> from mapytex.calculus import Expression
>>> render.set_render("txt")
>>> e = Expression.from_str("2x + 6 - 3x")
>>> print(e)
@ -27,16 +26,23 @@ Expression is the classe wich handle all calculus. It can randomly generate or i
(2 - 3) * x + 6
- x + 6
Create random Expression
========================
>>> e = random.expression("{a} / {b} + {c} / {d}")
>>> print(e) # doctest: +SKIP
- 3 / - 10 + 3 / 5
"""
from .API import Expression, Integer, Decimal, render, Polynomial, Fraction
#from .core import random_list
from decimal import getcontext
from .API import render, Expression
#from decimal import getcontext
from . import random
#getcontext().prec = 2
__all__ = ["Expression"]
__all__ = ["render", "Expression", "random"]
# -----------------------------

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@ -0,0 +1,19 @@
from .list import list_generator as list
from .expression import expression_generator as expression
__all__ = ["list", "expression"]
"""
Generate random stuffs
======================
list_generator
==============
Generate random lists
expression_generator
====================
Generate random Expression
"""

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@ -8,9 +8,15 @@
from random import choice
import math
EVAL_FUN = {**math.__dict__}
def complete_variable_configs(variables, global_config:dict={}, configs:dict={})->dict:
def complete_variable_configs(
variables, global_config: dict = {}, configs: dict = {}
) -> dict:
"""Completes variables configurations with the global configuration
:param variables: list of random variables to generate
@ -47,7 +53,10 @@ def complete_variable_configs(variables, global_config:dict={}, configs:dict={})
def random_generator(
variables:list[str], conditions:list[str]=[], global_config:dict={}, configs:dict={},
variables: list[str],
conditions: list[str] = [],
global_config: dict = {},
configs: dict = {},
) -> dict[str, int]:
"""Generate random variables
@ -57,6 +66,8 @@ def random_generator(
:param configs: global parameters
:return: dictionnary of generated variables
In variables and configurations, you have access to all math module functions
:example:
>>> gene = random_generator(["a", "b"],
... ["a > 0"],
@ -81,9 +92,7 @@ def random_generator(
>>> gene["a"] % gene["b"]
0
"""
complete_scope = complete_variable_configs(
variables, global_config, configs
)
complete_scope = complete_variable_configs(variables, global_config, configs)
choices_list = {
v: list(
set(
@ -101,9 +110,7 @@ def random_generator(
generate_variable = {v: choice(choices_list[v]) for v in variables}
while not all([eval(c, __builtins__, generate_variable) for c in conditions]):
while not all([eval(c, EVAL_FUN, generate_variable) for c in conditions]):
generate_variable = {v: choice(choices_list[v]) for v in variables}
return generate_variable

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@ -1,3 +1,6 @@
import math
EVAL_FUN = {**math.__dict__}
def extract_letters(words: list[str]) -> set[str]:
"""Extracts unique letters from a list of words
@ -25,11 +28,16 @@ def eval_words(words:list[str], values:dict[str,int]) -> dict[str, int]:
:param values: Dictionary of letters:value
:return: Dictionary of evaluated words from generated values
In words, you have access to all math module functions
:example:
>>> leafs = ["a", "a*k"]
>>> generated_values = {"a":2, "k":3}
>>> eval_words(leafs, generated_values)
{'a': 2, 'a*k': 6}
>>> leafs = ["exp(a)", "gcd(a, k)"]
>>> generated_values = {"a":2, "k":3}
>>> eval_words(leafs, generated_values)
{'exp(a)': 7.38905609893065, 'gcd(a, k)': 1}
"""
return {word: eval(word, values) for word in words}
return {word: eval(word, EVAL_FUN, values) for word in words}

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@ -111,8 +111,7 @@ def filter_random(min_value=-10, max_value=10, rejected=[0, 1], accept_callbacks
class FilterRandom(object):
""" Integer random generator which filter then choose candidate
"""
"""Integer random generator which filter then choose candidate"""
# TODO: Faire un cache pour éviter de reconstruire les listes à chaque fois |ven. déc. 21 19:07:42 CET 2018

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@ -53,9 +53,7 @@ def look_for_rdleaf(target):
class RdLeaf:
""" Random leaf
"""
"""Random leaf"""
def __init__(self, name):
self._name = name

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@ -4,6 +4,7 @@ from .grammar import extract_letters, eval_words
from .generate import random_generator
from .str2 import rdstr2
class RandomTree(MutableTree):
"""MutableTree that accept {a} syntax for random generation
@ -61,7 +62,6 @@ class RandomTree(MutableTree):
rd_leafs.append(leaf.name)
return rd_leafs
@property
def random_value(self) -> set[str]:
"""Get set of random values to generate
@ -77,7 +77,6 @@ class RandomTree(MutableTree):
"""
return extract_letters(self.random_leaves)
def eval_random_leaves(self, leaves_value: dict[str, int]):
"""Given random leaves value get the tree
@ -93,14 +92,18 @@ class RandomTree(MutableTree):
> 2
> 6
"""
def replace(leaf):
try:
return leaf.replace(leaves_value)
except AttributeError:
return leaf
return self.map_on_leaf(replace).map_on_leaf(moify)
def generate(self, conditions:list[str]=[], global_config:dict={} , configs:dict={}) -> Tree:
def generate(
self, conditions: list[str] = [], global_config: dict = {}, configs: dict = {}
) -> Tree:
"""Generate a random version of self
:param conditions: list of conditions
@ -108,6 +111,8 @@ class RandomTree(MutableTree):
:param configs: specific configuration for each generated values
"""
generated_values = random_generator(self.random_value, conditions, global_config, configs)
generated_values = random_generator(
self.random_value, conditions, global_config, configs
)
leaves = eval_words(self.random_leaves, generated_values)
return self.eval_random_leaves(leaves)

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@ -1,11 +1,17 @@
from ...core.operator import is_operator
from functools import partial
from ...core.str2 import concurent_broadcast, lookforNumbers, pparser, missing_times, lookfor
from ...core.str2 import (
concurent_broadcast,
lookforNumbers,
pparser,
missing_times,
lookfor,
)
from ...core.coroutine import STOOOP
from ...core.MO import moify_cor
from .leaf import look_for_rdleaf
def rdstr2(sink):
"""Return a pipeline which parse random expression and with sink as endpoint
@ -22,8 +28,7 @@ def rdstr2(sink):
def pipeline(expression):
str2_corout = look_for_rdleaf(
lookforNumbers(operator_corout(
missing_times(moify_cor(pparser(sink)))))
lookforNumbers(operator_corout(missing_times(moify_cor(pparser(sink)))))
)
for i in expression.replace(" ", ""):
@ -33,4 +38,3 @@ def rdstr2(sink):
return a
return pipeline

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@ -6,7 +6,13 @@ DEFAUTL_CONFIG = {
"min_max": (-10, 10),
}
def expression_generator(template:str, conditions:list[str]=[], global_config:dict={}, configs:dict={}):
def expression_generator(
template: str,
conditions: list[str] = [],
global_config: dict = {},
configs: dict = {},
):
"""Generate a random expression
:param template: the template of the expression
@ -31,5 +37,7 @@ def expression_generator(template:str, conditions:list[str]=[], global_config:di
"""
rd_tree = RandomTree.from_str(template)
generated_tree = rd_tree.generate(conditions, dict(DEFAUTL_CONFIG, **global_config), configs)
generated_tree = rd_tree.generate(
conditions, dict(DEFAUTL_CONFIG, **global_config), configs
)
return Expression._post_processing(generated_tree)

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@ -17,7 +17,13 @@ DEFAUTL_CONFIG = {
"min_max": (-10, 10),
}
def list_generator(var_list:list[str], conditions:list[str]=[], global_config:dict={}, configs:dict={})->list[int]:
def list_generator(
template: list[str],
conditions: list[str] = [],
global_config: dict = {},
configs: dict = {},
) -> list[int]:
"""Generate random computed values from the list
:param rd_variables: list of random variables to generate (can be computed value - "a*b")
@ -50,7 +56,9 @@ def list_generator(var_list:list[str], conditions:list[str]=[], global_config:di
>>> a not in [2, 3, 5, 7]
True
"""
rv = extract_letters(var_list)
rv_gen = random_generator(rv, conditions, dict(DEFAUTL_CONFIG, **global_config), configs)
generated = eval_words(var_list, rv_gen)
return [generated[v] for v in var_list]
rv = extract_letters(template)
rv_gen = random_generator(
rv, conditions, dict(DEFAUTL_CONFIG, **global_config), configs
)
generated = eval_words(template, rv_gen)
return [generated[v] for v in template]

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@ -1,6 +0,0 @@
import pytest
import mapytex
def test_random_function():
assert 1 == 1
#mapytex.random("{a}")

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@ -17,7 +17,7 @@ def test_changing_render():
def test_changing_rending():
e = mapytex.Expression.from_str("2*3")
f = mapytex.Fraction("2/3")
f = mapytex.Expression.from_str("2/3")
assert str(e) == "2 * 3"
assert str(f) == "2 / 3"
mapytex.render.set_render("tex")

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@ -0,0 +1,55 @@
import mapytex
def test_generate_list():
random_list = mapytex.random.list(["a", "b"])
assert len(random_list) == 2
random_list = mapytex.random.list(["a", "b", "c"])
assert len(random_list) == 3
random_list = mapytex.random.list(["a", "b", "a", "b"])
assert random_list[0] == random_list[2]
assert random_list[1] == random_list[3]
def test_generate_list_calculus():
random_list = mapytex.random.list(["a", "b", "a+b"])
assert random_list[0] + random_list[1] == random_list[2]
random_list = mapytex.random.list(["a", "b", "a-b"])
assert random_list[0] - random_list[1] == random_list[2]
random_list = mapytex.random.list(["a", "b", "a*b"])
assert random_list[0] * random_list[1] == random_list[2]
random_list = mapytex.random.list(["a", "b", "a/b"])
assert random_list[0] / random_list[1] == random_list[2]
def test_generate_list_calculus_math():
import math
a, b, gcd = mapytex.random.list(["a", "b", "gcd(a, b)"])
assert math.gcd(a, b) == gcd
a, b, exp, log = mapytex.random.list(["a", "b", "exp(a)", "log(b)"])
assert math.exp(a) == exp
assert math.log(b) == log
def test_generate_list_conditions():
a, b = mapytex.random.list(["a", "b"], conditions=["a + b == 10"])
assert a + b == 10
a, b = mapytex.random.list(["a", "b"], conditions=["a * b > 0", "a + b == 10"])
assert a + b == 10
assert a * b > 0
def test_generate_list_conditions_math():
import math
a, b = mapytex.random.list(["a", "b"], conditions=["gcd(a, b) == 3"])
assert math.gcd(a, b) == 3
def test_generate_list_global_config():
global_config = {"rejected": [0, 1, 2, 3]}
a, = mapytex.random.list(["a"], global_config=global_config)
assert a not in global_config["rejected"]
global_config = {"min_max": (20, 30)}
a, = mapytex.random.list(["a"], global_config=global_config)
assert a >= 20
assert a <= 30