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0f575ae0ae
Author | SHA1 | Date | |
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0f575ae0ae | |||
b738cf8dd8 | |||
32112a4591 | |||
b43c64fc7e | |||
aad2395a3a |
@ -1,7 +1,7 @@
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#!/usr/bin/env python
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# encoding: utf-8
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from .calculus import Expression, Integer, Decimal, render, Polynomial, Fraction#, random_list,
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from .calculus import Expression, render, random
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# Expression.set_render('tex')
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|
@ -12,7 +12,6 @@ Make calculus as a student
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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.
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>>> from mapytex.calculus import Expression
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>>> render.set_render("txt")
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>>> e = Expression.from_str("2x + 6 - 3x")
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>>> print(e)
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@ -27,16 +26,23 @@ Expression is the classe wich handle all calculus. It can randomly generate or i
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(2 - 3) * x + 6
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- x + 6
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Create random Expression
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========================
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>>> e = random.expression("{a} / {b} + {c} / {d}")
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>>> print(e) # doctest: +SKIP
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- 3 / - 10 + 3 / 5
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"""
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from .API import Expression, Integer, Decimal, render, Polynomial, Fraction
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#from .core import random_list
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from decimal import getcontext
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from .API import render, Expression
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#from decimal import getcontext
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from . import random
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#getcontext().prec = 2
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__all__ = ["Expression"]
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__all__ = ["render", "Expression", "random"]
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# -----------------------------
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@ -0,0 +1,19 @@
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from .list import list_generator as list
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from .expression import expression_generator as expression
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__all__ = ["list", "expression"]
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"""
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Generate random stuffs
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======================
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list_generator
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==============
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Generate random lists
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expression_generator
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====================
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Generate random Expression
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"""
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@ -8,10 +8,16 @@
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from random import choice
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import math
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EVAL_FUN = {**math.__dict__}
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def complete_variable_configs(variables, global_config:dict={}, configs:dict={})->dict:
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""" Completes variables configurations with the global configuration
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def complete_variable_configs(
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variables, global_config: dict = {}, configs: dict = {}
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) -> dict:
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"""Completes variables configurations with the global configuration
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:param variables: list of random variables to generate
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:param global_config: global parameters
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@ -26,7 +32,7 @@ def complete_variable_configs(variables, global_config:dict={}, configs:dict={})
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... "b": {"min_max": (-5, 0)},
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... "c": {"rejected": [2], "min_max": (0, 5)}
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... })
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>>> completed["a"] == {'rejected': [0, 1], 'min_max': (-10, 10)}
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>>> completed["a"] == {'rejected': [0, 1], 'min_max': (-10, 10)}
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True
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>>> completed["b"] == {'rejected': [], 'min_max': (-5, 0)}
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True
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@ -45,11 +51,14 @@ def complete_variable_configs(variables, global_config:dict={}, configs:dict={})
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complete_configs[variable] = dict(global_config, **configs[variable])
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return complete_configs
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def random_generator(
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variables:list[str], conditions:list[str]=[], global_config:dict={}, configs:dict={},
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)-> dict[str, int]:
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""" Generate random variables
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variables: list[str],
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conditions: list[str] = [],
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global_config: dict = {},
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configs: dict = {},
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) -> dict[str, int]:
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"""Generate random variables
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:param variables: list of random variables to generate
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:param conditions: condition over variables
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@ -57,8 +66,10 @@ def random_generator(
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:param configs: global parameters
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:return: dictionnary of generated variables
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In variables and configurations, you have access to all math module functions
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:example:
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>>> gene = random_generator(["a", "b"],
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>>> gene = random_generator(["a", "b"],
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... ["a > 0"],
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... {"rejected": [0], "min_max":(-10, 10)},
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... {"a": {"rejected": [0, 1]},
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@ -70,7 +81,7 @@ def random_generator(
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True
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>>> gene["b"] < 0
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True
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>>> gene = random_generator(["a", "b"],
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>>> gene = random_generator(["a", "b"],
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... ["a % b == 0"],
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... {"rejected": [0, 1], "min_max":(-10, 10)}
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... )
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@ -81,9 +92,7 @@ def random_generator(
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>>> gene["a"] % gene["b"]
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0
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"""
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complete_scope = complete_variable_configs(
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variables, global_config, configs
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)
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complete_scope = complete_variable_configs(variables, global_config, configs)
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choices_list = {
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v: list(
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set(
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@ -101,9 +110,7 @@ def random_generator(
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generate_variable = {v: choice(choices_list[v]) for v in variables}
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while not all([eval(c, __builtins__, generate_variable) for c in conditions]):
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while not all([eval(c, EVAL_FUN, generate_variable) for c in conditions]):
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generate_variable = {v: choice(choices_list[v]) for v in variables}
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return generate_variable
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|
@ -1,6 +1,9 @@
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import math
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def extract_letters(words:list[str])->set[str]:
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""" Extracts unique letters from a list of words
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EVAL_FUN = {**math.__dict__}
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def extract_letters(words: list[str]) -> set[str]:
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"""Extracts unique letters from a list of words
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:param words: list of leafs
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:return: set of letters
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@ -18,18 +21,23 @@ def extract_letters(words:list[str])->set[str]:
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return letters
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def eval_words(words:list[str], values:dict[str,int]) -> dict[str, int]:
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""" Evaluate words replacing letters with values
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def eval_words(words: list[str], values: dict[str, int]) -> dict[str, int]:
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"""Evaluate words replacing letters with values
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:param words: list of words
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:param values: Dictionary of letters:value
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:return: Dictionary of evaluated words from generated values
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In words, you have access to all math module functions
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:example:
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>>> leafs = ["a", "a*k"]
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>>> generated_values = {"a":2, "k":3}
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>>> eval_words(leafs, generated_values)
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{'a': 2, 'a*k': 6}
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>>> leafs = ["exp(a)", "gcd(a, k)"]
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>>> generated_values = {"a":2, "k":3}
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>>> eval_words(leafs, generated_values)
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{'exp(a)': 7.38905609893065, 'gcd(a, k)': 1}
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"""
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return {word: eval(word, values) for word in words}
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return {word: eval(word, EVAL_FUN, values) for word in words}
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|
@ -16,38 +16,38 @@ __all__ = ["reject_random", "filter_random", "FilterRandom"]
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def reject_random(min_value=-10, max_value=10, rejected=[0, 1], accept_callbacks=[]):
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""" Generate a random integer with the rejection method
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"""Generate a random integer with the rejection method
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:param name: name of the Integer
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:param min_value: minimum value
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:param max_value: maximum value
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:param rejected: rejected values
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:param accept_callbacks: list of function for value rejection
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:param name: name of the Integer
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:param min_value: minimum value
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:param max_value: maximum value
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:param rejected: rejected values
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:param accept_callbacks: list of function for value rejection
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:example:
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>>> a = reject_random()
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>>> a not in [0, 1]
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True
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>>> a >= -10
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True
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>>> a <= 10
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True
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>>> a = reject_random(min_value=3, max_value=11, rejected=[5, 7])
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>>> a not in [5, 7]
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True
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>>> a >= 3
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True
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>>> a <= 11
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True
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>>> a = reject_random(accept_callbacks=[lambda x: x%2])
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>>> a%2
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1
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>>> random.seed(0)
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>>> reject_random()
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2
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>>> random.seed(1)
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>>> reject_random()
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-6
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:example:
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>>> a = reject_random()
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>>> a not in [0, 1]
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True
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>>> a >= -10
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True
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>>> a <= 10
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True
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>>> a = reject_random(min_value=3, max_value=11, rejected=[5, 7])
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>>> a not in [5, 7]
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True
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>>> a >= 3
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True
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>>> a <= 11
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True
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>>> a = reject_random(accept_callbacks=[lambda x: x%2])
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>>> a%2
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1
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>>> random.seed(0)
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>>> reject_random()
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2
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>>> random.seed(1)
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>>> reject_random()
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-6
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"""
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conditions = [lambda x: x not in rejected] + accept_callbacks
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@ -60,38 +60,38 @@ def reject_random(min_value=-10, max_value=10, rejected=[0, 1], accept_callbacks
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def filter_random(min_value=-10, max_value=10, rejected=[0, 1], accept_callbacks=[]):
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""" Generate a random integer by filtering then choosing a candidate
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"""Generate a random integer by filtering then choosing a candidate
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:param name: name of the Integer
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:param min_value: minimum value
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:param max_value: maximum value
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:param rejected: rejected values
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:param accept_callbacks: list of function for value rejection
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:param name: name of the Integer
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:param min_value: minimum value
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:param max_value: maximum value
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:param rejected: rejected values
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:param accept_callbacks: list of function for value rejection
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:example:
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>>> a = filter_random()
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>>> a not in [0, 1]
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True
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>>> a >= -10
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True
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>>> a <= 10
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True
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>>> a = filter_random(min_value=3, max_value=11, rejected=[5, 7])
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>>> a not in [5, 7]
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True
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>>> a >= 3
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True
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>>> a <= 11
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True
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>>> a = filter_random(accept_callbacks=[lambda x: x%2])
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>>> a%2
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1
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>>> random.seed(0)
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>>> filter_random()
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-7
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>>> random.seed(1)
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>>> filter_random()
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6
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:example:
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>>> a = filter_random()
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>>> a not in [0, 1]
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True
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>>> a >= -10
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True
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>>> a <= 10
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True
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>>> a = filter_random(min_value=3, max_value=11, rejected=[5, 7])
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>>> a not in [5, 7]
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True
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>>> a >= 3
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True
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>>> a <= 11
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True
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>>> a = filter_random(accept_callbacks=[lambda x: x%2])
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>>> a%2
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1
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>>> random.seed(0)
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>>> filter_random()
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-7
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>>> random.seed(1)
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>>> filter_random()
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6
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"""
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candidates = set(range(min_value, max_value + 1))
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candidates = {c for c in candidates if c not in rejected}
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@ -111,8 +111,7 @@ def filter_random(min_value=-10, max_value=10, rejected=[0, 1], accept_callbacks
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class FilterRandom(object):
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""" Integer random generator which filter then choose candidate
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"""
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"""Integer random generator which filter then choose candidate"""
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# 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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@ -133,7 +132,7 @@ class FilterRandom(object):
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}
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def add_candidates(self, low, high):
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""" Add candidates between low and high to _candidates """
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"""Add candidates between low and high to _candidates"""
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if low < self._min:
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self._min = low
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useless_low = False
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@ -157,11 +156,11 @@ class FilterRandom(object):
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)
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def candidates(self, min_value=-10, max_value=10):
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""" Return candidates between min_value and max_value """
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"""Return candidates between min_value and max_value"""
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return [c for c in self._candidates if (c > min_value and c < max_value)]
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def __call__(self, min_value=-10, max_value=10):
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""" Randomly choose on candidate """
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"""Randomly choose on candidate"""
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self.add_candidates(min_value, max_value)
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return random.choice(self.candidates(min_value, max_value))
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|
@ -14,7 +14,7 @@ from ...core.coroutine import coroutine, STOOOP
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@coroutine
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def look_for_rdleaf(target):
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""" Coroutine which look to "{...}" which are RdLeaf
|
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"""Coroutine which look to "{...}" which are RdLeaf
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|
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:example:
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>>> from ...core.str2 import list_sink
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@ -53,9 +53,7 @@ def look_for_rdleaf(target):
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|
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class RdLeaf:
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""" Random leaf
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|
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"""
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"""Random leaf"""
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def __init__(self, name):
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self._name = name
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|
@ -4,8 +4,9 @@ from .grammar import extract_letters, eval_words
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from .generate import random_generator
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from .str2 import rdstr2
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|
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|
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class RandomTree(MutableTree):
|
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""" MutableTree that accept {a} syntax for random generation
|
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"""MutableTree that accept {a} syntax for random generation
|
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|
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:example:
|
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>>> t = RandomTree()
|
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@ -15,7 +16,7 @@ class RandomTree(MutableTree):
|
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|
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@classmethod
|
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def from_str(cls, expression):
|
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""" Initiate a random tree from a string that need to be parsed
|
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"""Initiate a random tree from a string that need to be parsed
|
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|
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:exemple:
|
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>>> t = RandomTree.from_str("{b}*x+{c}")
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@ -40,7 +41,7 @@ class RandomTree(MutableTree):
|
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|
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@property
|
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def random_leaves(self) -> list[str]:
|
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""" Get list of random leaves
|
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"""Get list of random leaves
|
||||
|
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:example:
|
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>>> from .leaf import RdLeaf
|
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@ -61,10 +62,9 @@ class RandomTree(MutableTree):
|
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rd_leafs.append(leaf.name)
|
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return rd_leafs
|
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|
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|
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@property
|
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def random_value(self) -> set[str]:
|
||||
""" Get set of random values to generate
|
||||
"""Get set of random values to generate
|
||||
|
||||
:example:
|
||||
>>> from .leaf import RdLeaf
|
||||
@ -77,9 +77,8 @@ class RandomTree(MutableTree):
|
||||
"""
|
||||
return extract_letters(self.random_leaves)
|
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|
||||
|
||||
def eval_random_leaves(self, leaves_value:dict[str, int]):
|
||||
""" Given random leaves value get the tree
|
||||
def eval_random_leaves(self, leaves_value: dict[str, int]):
|
||||
"""Given random leaves value get the tree
|
||||
|
||||
:example:
|
||||
>>> from .leaf import RdLeaf
|
||||
@ -93,21 +92,27 @@ class RandomTree(MutableTree):
|
||||
> 2
|
||||
> 6
|
||||
"""
|
||||
|
||||
def replace(leaf):
|
||||
try:
|
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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:
|
||||
""" Generate a random version of self
|
||||
|
||||
def generate(
|
||||
self, conditions: list[str] = [], global_config: dict = {}, configs: dict = {}
|
||||
) -> Tree:
|
||||
"""Generate a random version of self
|
||||
|
||||
:param conditions: list of conditions
|
||||
:param config: global configuration for generated values
|
||||
: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)
|
||||
|
@ -1,13 +1,19 @@
|
||||
|
||||
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
|
||||
"""Return a pipeline which parse random expression and with sink as endpoint
|
||||
|
||||
:example:
|
||||
>>> from ...core.str2 import list_sink
|
||||
@ -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
|
||||
|
||||
|
@ -2,12 +2,18 @@ from ..API.expression import Expression
|
||||
from .core.random_tree import RandomTree
|
||||
|
||||
DEFAUTL_CONFIG = {
|
||||
"rejected": [0, 1],
|
||||
"min_max": (-10, 10),
|
||||
}
|
||||
"rejected": [0, 1],
|
||||
"min_max": (-10, 10),
|
||||
}
|
||||
|
||||
def expression_generator(template:str, conditions:list[str]=[], global_config:dict={}, configs:dict={}):
|
||||
""" Generate a random expression
|
||||
|
||||
def expression_generator(
|
||||
template: str,
|
||||
conditions: list[str] = [],
|
||||
global_config: dict = {},
|
||||
configs: dict = {},
|
||||
):
|
||||
"""Generate a random expression
|
||||
|
||||
:param template: the template of the expression
|
||||
:param conditions: conditions on randomly generate variable
|
||||
@ -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)
|
||||
|
@ -13,12 +13,18 @@ from .core.generate import random_generator
|
||||
from .core.grammar import extract_letters, eval_words
|
||||
|
||||
DEFAUTL_CONFIG = {
|
||||
"rejected": [0],
|
||||
"min_max": (-10, 10),
|
||||
}
|
||||
"rejected": [0],
|
||||
"min_max": (-10, 10),
|
||||
}
|
||||
|
||||
def list_generator(var_list:list[str], conditions:list[str]=[], global_config:dict={}, configs:dict={})->list[int]:
|
||||
""" Generate random computed values from the list
|
||||
|
||||
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")
|
||||
:param conditions: condition over variables
|
||||
@ -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]
|
||||
|
@ -1,6 +0,0 @@
|
||||
import pytest
|
||||
import mapytex
|
||||
|
||||
def test_random_function():
|
||||
assert 1 == 1
|
||||
#mapytex.random("{a}")
|
@ -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")
|
||||
|
55
test/calculus/random/test_list_generator.py
Normal file
55
test/calculus/random/test_list_generator.py
Normal file
@ -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
|
||||
|
Loading…
Reference in New Issue
Block a user