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REFACT/ran
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18
.drone.yml
Normal file
18
.drone.yml
Normal file
@ -0,0 +1,18 @@
|
||||
kind: pipeline
|
||||
name: default
|
||||
|
||||
steps:
|
||||
- name: testing
|
||||
image: python
|
||||
commands:
|
||||
- pip install -r requirements.txt
|
||||
- pytest --doctest-modules ./mapytex/
|
||||
- name: Publish
|
||||
image: plugins/pypi
|
||||
settings:
|
||||
username:
|
||||
from_secret: pypi_username
|
||||
password:
|
||||
from_secret: pypi_password
|
||||
when:
|
||||
event: tag
|
2
.gitignore
vendored
2
.gitignore
vendored
@ -4,5 +4,7 @@ dist/
|
||||
build/
|
||||
*.egg-info/
|
||||
documentation/build/
|
||||
documentation/source/_build/
|
||||
cache/
|
||||
venv/
|
||||
.nox
|
||||
|
@ -1,4 +1,5 @@
|
||||
# Mapytex
|
||||
[![Build Status](https://drone.opytex.org/api/badges/lafrite/Mapytex/status.svg)](https://drone.opytex.org/lafrite/Mapytex)
|
||||
|
||||
Formal calculus with explanation python module and exercises creation tools.
|
||||
|
||||
|
@ -1,7 +1,7 @@
|
||||
#!/usr/bin/env python
|
||||
# encoding: utf-8
|
||||
|
||||
from .calculus import Expression#, Polynom, Fraction, random_str, txt, Equation
|
||||
from .calculus import Expression, render, random
|
||||
|
||||
# Expression.set_render('tex')
|
||||
|
||||
|
@ -84,19 +84,20 @@ x^7
|
||||
>>> e = Expression.from_str("1+2x^2+3x+4+5x")
|
||||
>>> e_simplified = e.simplify()
|
||||
>>> e_simplified
|
||||
<Quadratic 5 + 2x^2 + 8x>
|
||||
<Quadratic 2x^2 + 8x + 5>
|
||||
>>> for s in e_simplified.explain():
|
||||
... print(s)
|
||||
1 + 2x^2 + 3x + 4 + 5x
|
||||
1 + 2x^2 + 3x + 4 + 5x
|
||||
1 + 4 + 2x^2 + 3x + 5x
|
||||
5 + 2x^2 + (3 + 5) * x
|
||||
5 + 2x^2 + 8x
|
||||
2x^2 + 3x + 1 + 4 + 5x
|
||||
2x^2 + 3x + 5x + 1 + 4
|
||||
2x^2 + (3 + 5) * x + 5
|
||||
2x^2 + 8x + 5
|
||||
|
||||
|
||||
>>> e = Expression.from_str("(2x+3)^2")
|
||||
>>> e_simplified = e.simplify()
|
||||
>>> e_simplified
|
||||
<Quadratic 12x + 4x^2 + 9>
|
||||
<Quadratic 4x^2 + 12x + 9>
|
||||
>>> for s in e_simplified.explain():
|
||||
... print(s)
|
||||
(2x + 3)^2
|
||||
@ -105,26 +106,37 @@ x^7
|
||||
2 * 2 * x^(1 + 1) + 3 * 2 * x + 3 * 2 * x + 9
|
||||
6x + 6x + 4x^2 + 9
|
||||
(6 + 6) * x + 4x^2 + 9
|
||||
12x + 4x^2 + 9
|
||||
4x^2 + 12x + 9
|
||||
|
||||
>>> e = Expression.from_str("(2x-3)(-x+2)")
|
||||
>>> e_simplified = e.simplify()
|
||||
>>> e_simplified
|
||||
<Quadratic - 2x^2 + 7x - 6>
|
||||
>>> for s in e_simplified.explain():
|
||||
... print(s)
|
||||
(2x - 3)(- x + 2)
|
||||
(2x - 3)(- x + 2)
|
||||
2x(- x) + 2x * 2 - 3(- x) - 3 * 2
|
||||
2(- 1) * x^(1 + 1) + 2 * 2 * x - 3(- 1) * x - 6
|
||||
4x + 3x - 2x^2 - 6
|
||||
(4 + 3) * x - 2x^2 - 6
|
||||
- 2x^2 + 7x - 6
|
||||
"""
|
||||
|
||||
from .renders import render
|
||||
from .expression import Expression
|
||||
from .tokens import Token
|
||||
from .tokens.polynomial import Polynomial
|
||||
from .tokens.number import Integer, Decimal, Fraction
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
e = Expression.from_str("1+2/3/4/5")
|
||||
et = e._typing()
|
||||
print("typing")
|
||||
print(e._tree)
|
||||
e = et._order()
|
||||
print("order")
|
||||
print(e._tree)
|
||||
e = e._optimize()
|
||||
print("then optimize")
|
||||
print(e._tree)
|
||||
e = et._optimize()
|
||||
print("optimize without order")
|
||||
print(e._tree)
|
||||
e = Expression.from_str("(2x-3)(-x+2)")
|
||||
e_simplified = e.simplify()
|
||||
e_simplified
|
||||
for s in e_simplified.explain():
|
||||
print(s._tree.map_on_leaf(lambda x: type(x)))
|
||||
print(s)
|
||||
|
||||
# -----------------------------
|
||||
# Reglages pour 'vim'
|
||||
|
@ -10,11 +10,11 @@
|
||||
Expression
|
||||
|
||||
"""
|
||||
from functools import partial
|
||||
from ..core import AssocialTree, Tree, compute, typing, TypingError
|
||||
from ..core.random import extract_rdleaf, extract_rv, random_generator, compute_leafs, replace_rdleaf
|
||||
from ..core.MO import moify
|
||||
from .tokens import factory, Token
|
||||
from .renders import renders
|
||||
from .tokens import factory
|
||||
from .renders import render
|
||||
|
||||
|
||||
class Expression(object):
|
||||
@ -35,7 +35,6 @@ class Expression(object):
|
||||
14
|
||||
"""
|
||||
|
||||
RENDER = "txt"
|
||||
|
||||
def __init__(self, tree, ancestor=None):
|
||||
"""
|
||||
@ -43,39 +42,6 @@ class Expression(object):
|
||||
self._tree = tree
|
||||
self._ancestor = ancestor
|
||||
|
||||
@classmethod
|
||||
def set_render(cls, render):
|
||||
""" Define default render function
|
||||
|
||||
:param render: render name (txt or tex)
|
||||
|
||||
:example:
|
||||
>>> e = Expression.from_str("2+3*4")
|
||||
>>> print(e)
|
||||
2 + 3 * 4
|
||||
>>> e = Expression.from_str("2+3/4")
|
||||
>>> print(e)
|
||||
2 + 3 / 4
|
||||
>>> es = e.simplify()
|
||||
>>> print(es)
|
||||
11 / 4
|
||||
>>> Expression.set_render('tex')
|
||||
>>> Expression.RENDER
|
||||
'tex'
|
||||
>>> e = Expression.from_str("2+3*4")
|
||||
>>> print(e)
|
||||
2 + 3 \\times 4
|
||||
>>> e = Expression.from_str("2+3/4")
|
||||
>>> print(e)
|
||||
2 + \\frac{3}{4}
|
||||
>>> es = e.simplify()
|
||||
>>> print(es)
|
||||
\\frac{11}{4}
|
||||
>>> Expression.set_render('txt')
|
||||
"""
|
||||
Token.set_render(render)
|
||||
cls.RENDER = render
|
||||
|
||||
@classmethod
|
||||
def from_str(cls, string, typing=True):
|
||||
""" Initiate the expression from a string
|
||||
@ -95,67 +61,19 @@ class Expression(object):
|
||||
<Linear 2x + 1>
|
||||
>>> e = Expression.from_str("2x + 1 + 5x^2")
|
||||
>>> e
|
||||
<Quadratic 2x + 1 + 5x^2>
|
||||
<Quadratic 5x^2 + 2x + 1>
|
||||
>>> e = Expression.from_str("2x + 1 + 5x")
|
||||
>>> e
|
||||
<Exp: 2x + 1 + 5x>
|
||||
|
||||
"""
|
||||
t = Tree.from_str(string)
|
||||
if typing:
|
||||
return cls._post_precessing(t)
|
||||
return cls._post_processing(t)
|
||||
|
||||
return cls(t)
|
||||
|
||||
@classmethod
|
||||
def random(
|
||||
cls,
|
||||
template,
|
||||
conditions=[],
|
||||
rejected=[0],
|
||||
min_max=(-10, 10),
|
||||
variables_scope={},
|
||||
shuffle=False,
|
||||
):
|
||||
""" Initiate randomly the expression
|
||||
|
||||
:param template: the template of the expression
|
||||
:param conditions: conditions on randomly generate variable
|
||||
:param rejected: Values to reject for all random variables
|
||||
:param min_max: Min and max value for all random variables
|
||||
:param variables_scope: Dictionnary for each random varaibles to fic rejected and min_max
|
||||
:param shuffle: allowing to shuffle the tree
|
||||
:returns: TODO
|
||||
|
||||
:example:
|
||||
>>> Expression.random("{a}/{a*k}") # doctest: +SKIP
|
||||
<Exp: -3 / -15>
|
||||
>>> Expression.random("{a}/{a*k} - 3*{b}", variables_scope={'a':{'min_max':(10, 30)}}) # doctest: +SKIP
|
||||
<Exp: 18 / 108 - 3 * 9>
|
||||
>>> e = Expression.random("{a}*x + {b}*x + 3", ["a>b"], rejected=[0, 1])
|
||||
>>> ee = e.simplify()
|
||||
>>> print(e) # doctest: +SKIP
|
||||
10x - 6x + 3
|
||||
>>> print(ee) # doctest: +SKIP
|
||||
4x + 3
|
||||
|
||||
"""
|
||||
rd_t = Tree.from_str(template, random=True)
|
||||
leafs = extract_rdleaf(rd_t)
|
||||
rd_varia = extract_rv(leafs)
|
||||
generated = random_generator(
|
||||
rd_varia, conditions, rejected, min_max, variables_scope
|
||||
)
|
||||
computed = compute_leafs(leafs, generated)
|
||||
t = replace_rdleaf(rd_t, computed).map_on_leaf(moify)
|
||||
|
||||
if shuffle:
|
||||
raise NotImplemented("Can't suffle expression yet")
|
||||
|
||||
return cls._post_precessing(t)
|
||||
|
||||
@classmethod
|
||||
def _post_precessing(cls, t):
|
||||
def _post_processing(cls, t):
|
||||
""" Post process the tree by typing it """
|
||||
tt = cls(t)._typing()
|
||||
try:
|
||||
@ -164,10 +82,10 @@ class Expression(object):
|
||||
return cls(t)
|
||||
|
||||
def __str__(self):
|
||||
return renders[self.RENDER](self._tree)
|
||||
return render(self._tree)
|
||||
|
||||
def __repr__(self):
|
||||
return f"<Exp: {renders['txt'](self._tree)}>"
|
||||
return f"<Exp: {render(self._tree, 'txt')}>"
|
||||
|
||||
def _order(self, exclude_nodes=["*", "/", "**"]):
|
||||
""" Order the expression base on types
|
||||
@ -194,7 +112,8 @@ class Expression(object):
|
||||
return type(leaf)
|
||||
else:
|
||||
try:
|
||||
typed_leaf = typing(leaf.node, leaf.left_value, leaf.right_value)
|
||||
typed_leaf = typing(
|
||||
leaf.node, leaf.left_value, leaf.right_value)
|
||||
return typed_leaf.signature
|
||||
except (AttributeError, NotImplementedError, TypingError):
|
||||
return type(leaf)
|
||||
@ -334,15 +253,15 @@ class Expression(object):
|
||||
|
||||
comp_exp = opt_exp._compute()
|
||||
|
||||
if typed_exp == comp_exp:
|
||||
typed_exp.set_ancestor(self._ancestor)
|
||||
return typed_exp
|
||||
else:
|
||||
if typed_exp != comp_exp:
|
||||
comp_exp.set_ancestor(self)
|
||||
return comp_exp._simplify(optimize=optimize)
|
||||
|
||||
typed_exp.set_ancestor(self._ancestor)
|
||||
return typed_exp
|
||||
|
||||
def simplify(self, optimize=True):
|
||||
""" Compute as much as possible the expression
|
||||
""" Simplify the expression, keep the history and factory child
|
||||
|
||||
:param optimize: bool to optimize tree when it's possible
|
||||
:return: an expression
|
||||
@ -437,6 +356,65 @@ class Expression(object):
|
||||
else:
|
||||
yield self
|
||||
|
||||
def __call__(self, value):
|
||||
""" Call a Expression to evaluate itself on value
|
||||
|
||||
:param value: evaluate the Expression with this value
|
||||
:return: Expression simplified if the value is not a string with a length greater than 1.
|
||||
|
||||
:examples:
|
||||
>>> f = Expression.from_str("3*x^2 + 2x + 1")
|
||||
>>> for s in f(2).explain():
|
||||
... print(s)
|
||||
3 * 2^2 + 2 * 2 + 1
|
||||
3 * 4 + 4 + 1
|
||||
12 + 5
|
||||
17
|
||||
>>> f(f(2))
|
||||
<Integer 902>
|
||||
>>> f(17)
|
||||
<Integer 902>
|
||||
>>> f("n")
|
||||
<Quadratic 3n^2 + 2n + 1>
|
||||
>>> f("u_n")
|
||||
<Exp: 3u_n^2 + 2u_n + 1>
|
||||
>>> f(f)
|
||||
<Polynomial 27x^4 + 36x^3 + 36x^2 + 16x + 6>
|
||||
"""
|
||||
tree = self._tree
|
||||
variable = (set(tree.get_leafs(extract_variable)) - {None}).pop()
|
||||
|
||||
try:
|
||||
dest = value._mo
|
||||
except AttributeError:
|
||||
dest = moify(value)
|
||||
replace_var = partial(replace, origin=variable, dest=dest)
|
||||
tree = tree.map_on_leaf(replace_var)
|
||||
|
||||
if isinstance(value, str) and len(value) > 1:
|
||||
return Expression(tree)
|
||||
return Expression(tree).simplify()
|
||||
|
||||
|
||||
def extract_variable(leaf):
|
||||
try:
|
||||
return leaf.variable
|
||||
except AttributeError:
|
||||
return None
|
||||
|
||||
|
||||
def replace(leaf, origin, dest):
|
||||
""" Recursively replace origin to dest in leaf """
|
||||
try:
|
||||
leaf.tree
|
||||
except AttributeError:
|
||||
if leaf == origin:
|
||||
return dest
|
||||
return leaf
|
||||
|
||||
replace_var = partial(replace, origin=origin, dest=dest)
|
||||
return leaf.tree.map_on_leaf(replace_var)
|
||||
|
||||
|
||||
# -----------------------------
|
||||
# Reglages pour 'vim'
|
||||
|
@ -12,34 +12,59 @@ Expression
|
||||
"""
|
||||
from ..core import tree2txt, tree2tex
|
||||
|
||||
class Render(object):
|
||||
""" Object which render Expression or token """
|
||||
|
||||
def _txt(mo_tree):
|
||||
""" txt render for MOs or Trees"""
|
||||
def __init__(self, default="txt"):
|
||||
self._default = default
|
||||
self._render = default
|
||||
self.renders = {}
|
||||
|
||||
def register_render(self, name, func, attribute):
|
||||
""" register a render """
|
||||
try:
|
||||
return tree2txt(mo_tree)
|
||||
self.renders[name]
|
||||
except KeyError:
|
||||
self.renders[name] = {"name": name, "func": func, "attribute": attribute}
|
||||
else:
|
||||
raise ValueError("This render name already exists")
|
||||
|
||||
@property
|
||||
def render_name(self):
|
||||
return self._render
|
||||
|
||||
@property
|
||||
def render(self):
|
||||
return self.renders[self._render]
|
||||
|
||||
def __call__(self, mo_tree, tmp_render=''):
|
||||
if tmp_render:
|
||||
r = self.renders[tmp_render]
|
||||
else:
|
||||
r = self.render
|
||||
|
||||
try:
|
||||
return r["func"](mo_tree)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
try:
|
||||
return mo_tree.__txt__
|
||||
return getattr(mo_tree, r["attribute"])
|
||||
except AttributeError:
|
||||
return str(mo_tree)
|
||||
|
||||
|
||||
def _tex(mo_tree):
|
||||
""" Tex render for MOs or Trees"""
|
||||
try:
|
||||
return tree2tex(mo_tree)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
try:
|
||||
return mo_tree.__tex__
|
||||
except AttributeError:
|
||||
return str(mo_tree)
|
||||
def set_render(self, render):
|
||||
""" Define the render """
|
||||
if render in self.renders.keys():
|
||||
self._render = render
|
||||
else:
|
||||
raise ValueError("This render does not exists")
|
||||
|
||||
|
||||
renders = {"txt": _txt, "tex": _tex}
|
||||
|
||||
render = Render()
|
||||
render.register_render("txt", tree2txt, "__txt__")
|
||||
render.register_render("tex", tree2tex, "__tex__")
|
||||
|
||||
# -----------------------------
|
||||
# Reglages pour 'vim'
|
||||
|
@ -10,22 +10,163 @@
|
||||
Tokens represents MathObject at API level
|
||||
|
||||
"""
|
||||
from ...core.MO import MO, MOnumber, MOstr
|
||||
from ...core.MO import MO, MOnumber, MOstr, moify
|
||||
from ...core.MO.fraction import MOFraction
|
||||
from ...core.MO.monomial import MOstrPower, MOMonomial
|
||||
from ...core.MO.polynomial import MOpolynomial
|
||||
from decimal import Decimal as _Decimal
|
||||
|
||||
from .number import Integer, Decimal, Fraction
|
||||
from .polynomial import Polynomial, Linear, Quadratic
|
||||
|
||||
from functools import wraps
|
||||
from .token import Token
|
||||
|
||||
__all__ = ["factory"]
|
||||
|
||||
|
||||
def tokenify(mo, name="", ancestor=None):
|
||||
""" Transform a MO or a python builtin to the appropriate token
|
||||
|
||||
:param mo: the thing to turn into a Token
|
||||
:param name: a virtual name of the toke
|
||||
:param ancestor: its ancestor
|
||||
|
||||
:example:
|
||||
>>> a = MOnumber(2)
|
||||
>>> tokenify(a)
|
||||
<Integer 2>
|
||||
>>> tokenify(2)
|
||||
<Integer 2>
|
||||
>>> tokenify("x")
|
||||
<Linear x>
|
||||
>>> tokenify(_Decimal("2.2"))
|
||||
<Decimal 2.2>
|
||||
>>> tokenify("2.2")
|
||||
<Decimal 2.2>
|
||||
>>> tokenify(2.2)
|
||||
<Decimal 2.20000000000000017763568394002504646778106689453125>
|
||||
|
||||
tokenify is idempotent on "mo" parameter
|
||||
|
||||
>>> a = MOnumber(2)
|
||||
>>> ta = tokenify(a)
|
||||
>>> ta == tokenify(ta)
|
||||
True
|
||||
|
||||
"""
|
||||
if isinstance(mo, MO):
|
||||
return _tokenify(mo, name, ancestor)
|
||||
|
||||
if isinstance(mo, Token):
|
||||
if name == "":
|
||||
_name = mo.name
|
||||
else:
|
||||
_name = name
|
||||
if ancestor is None:
|
||||
_ancestor = mo._ancestor
|
||||
else:
|
||||
_ancestor = ancestor
|
||||
return _tokenify(mo._mo, _name, _ancestor)
|
||||
|
||||
return _tokenify(moify(mo), name, ancestor)
|
||||
|
||||
|
||||
def to_be_token(func):
|
||||
""" Decorator to ensure that the return value is a Token """
|
||||
@wraps(func)
|
||||
def wrapped(*args, **kwds):
|
||||
ans = func(*args, **kwds)
|
||||
try:
|
||||
return [tokenify(t) for t in ans]
|
||||
except TypeError:
|
||||
return tokenify(ans)
|
||||
return wrapped
|
||||
|
||||
|
||||
def _tokenify(mo, name="", ancestor=None):
|
||||
""" Transform a MO (from core) to the appropriate token (from API)
|
||||
|
||||
:example:
|
||||
>>> a = MOnumber(2)
|
||||
>>> _tokenify(a)
|
||||
<Integer 2>
|
||||
>>> a = MOnumber(2.5)
|
||||
>>> _tokenify(a)
|
||||
<Decimal 2.5>
|
||||
>>> a = MOFraction(2, 5)
|
||||
>>> _tokenify(a)
|
||||
<Fraction 2 / 5>
|
||||
>>> a = MOstr('x')
|
||||
>>> _tokenify(a)
|
||||
<Linear x>
|
||||
>>> a = MOstrPower('x', 2)
|
||||
>>> _tokenify(a)
|
||||
<Quadratic x^2>
|
||||
>>> a = MOstrPower('x', 3)
|
||||
>>> _tokenify(a)
|
||||
<Polynomial x^3>
|
||||
>>> a = MOMonomial(3, 'x', 1)
|
||||
>>> _tokenify(a)
|
||||
<Linear 3x>
|
||||
>>> a = MOMonomial(3, 'x', 2)
|
||||
>>> _tokenify(a)
|
||||
<Quadratic 3x^2>
|
||||
>>> a = MOMonomial(3, 'x', 3)
|
||||
>>> _tokenify(a)
|
||||
<Polynomial 3x^3>
|
||||
"""
|
||||
if isinstance(mo, MOnumber):
|
||||
if isinstance(mo.value, int):
|
||||
from .number import Integer
|
||||
|
||||
return Integer.from_mo(mo, name, ancestor)
|
||||
elif isinstance(mo.value, _Decimal):
|
||||
from .number import Decimal
|
||||
|
||||
return Decimal.from_mo(mo, name, ancestor)
|
||||
|
||||
raise TypeError(f"Can't build from MOnumber ({mo}) neither int nor decimal")
|
||||
|
||||
if isinstance(mo, MOFraction):
|
||||
if isinstance(mo._denominator, MOnumber) and isinstance(
|
||||
mo._numerator, MOnumber
|
||||
):
|
||||
from .number import Fraction
|
||||
|
||||
return Fraction.from_mo(mo, name, ancestor)
|
||||
|
||||
raise TypeError(
|
||||
f"Can't build from MOFraction ({mo}) numerator and denominator are not MOnumber"
|
||||
)
|
||||
|
||||
if isinstance(mo, (MOstr, MOstrPower, MOMonomial, MOpolynomial)):
|
||||
if not isinstance(mo._variable, (MOstr, str)):
|
||||
raise TypeError(
|
||||
f"Can't build Polynom over something else than a letter (got {mo._variable})"
|
||||
)
|
||||
if (
|
||||
isinstance(mo, MOstr)
|
||||
or (isinstance(mo, MOMonomial) and mo.power.value == 1)
|
||||
or (isinstance(mo, MOpolynomial) and mo.power.value == 1)
|
||||
):
|
||||
from .polynomial import Linear
|
||||
|
||||
return Linear.from_mo(mo, name, ancestor)
|
||||
elif (
|
||||
(isinstance(mo, MOstrPower) and mo.power.value == 2)
|
||||
or (isinstance(mo, MOMonomial) and mo.power.value == 2)
|
||||
or (isinstance(mo, MOpolynomial) and mo.power.value == 2)
|
||||
):
|
||||
from .polynomial import Quadratic
|
||||
|
||||
return Quadratic.from_mo(mo, name, ancestor)
|
||||
else:
|
||||
from .polynomial import Polynomial
|
||||
|
||||
return Polynomial.from_mo(mo, name, ancestor)
|
||||
|
||||
raise TypeError(f"{type(mo)} is unknown MathObject")
|
||||
|
||||
|
||||
def factory(exp, name="", ancestor=None):
|
||||
""" Transform a Expression with on MathObject (from core) to a appropriate token (from API)
|
||||
""" Transform a Expression with on single MathObject (from core) to a appropriate token (from API)
|
||||
|
||||
:example:
|
||||
>>> from ..expression import Expression
|
||||
@ -61,46 +202,7 @@ def factory(exp, name="", ancestor=None):
|
||||
if not isinstance(mo, MO):
|
||||
raise TypeError(f"Can't build Token from not computed Expression (got {mo})")
|
||||
|
||||
if isinstance(mo, MOnumber):
|
||||
if isinstance(mo.value, int):
|
||||
return Integer.from_mo(mo, name, ancestor)
|
||||
elif isinstance(mo.value, _Decimal):
|
||||
return Decimal.from_mo(mo, name, ancestor)
|
||||
|
||||
raise TypeError(f"Can't build from MOnumber ({mo}) neither int nor decimal")
|
||||
|
||||
elif isinstance(mo, MOFraction):
|
||||
if isinstance(mo._denominator, MOnumber) and isinstance(
|
||||
mo._numerator, MOnumber
|
||||
):
|
||||
return Fraction.from_mo(mo, name, ancestor)
|
||||
|
||||
raise TypeError(
|
||||
f"Can't build from MOFraction ({mo}) numerator and denominator are not MOnumber"
|
||||
)
|
||||
|
||||
elif isinstance(mo, (MOstr, MOstrPower, MOMonomial, MOpolynomial)):
|
||||
if not isinstance(mo._variable, (MOstr, str)):
|
||||
raise TypeError(
|
||||
f"Can't build Polynom over something else than a letter (got {mo._variable})"
|
||||
)
|
||||
if (
|
||||
isinstance(mo, MOstr)
|
||||
or (isinstance(mo, MOMonomial) and mo.power.value == 1)
|
||||
or (isinstance(mo, MOpolynomial) and mo.power.value == 1)
|
||||
):
|
||||
return Linear.from_mo(mo, name, ancestor)
|
||||
elif (
|
||||
(isinstance(mo, MOstrPower) and mo.power.value == 2)
|
||||
or (isinstance(mo, MOMonomial) and mo.power.value == 2)
|
||||
or (isinstance(mo, MOpolynomial) and mo.power.value == 2)
|
||||
):
|
||||
return Quadratic.from_mo(mo, name, ancestor)
|
||||
else:
|
||||
return Polynomial.from_mo(mo, name, ancestor)
|
||||
|
||||
else:
|
||||
raise TypeError(f"{type(mo)} is unknown MathObject")
|
||||
return _tokenify(mo, name, ancestor)
|
||||
|
||||
|
||||
# -----------------------------
|
||||
|
@ -13,11 +13,10 @@ Tokens representing interger and decimal
|
||||
from decimal import Decimal as _Decimal
|
||||
from .token import Token
|
||||
from ...core.arithmetic import gcd
|
||||
from ...core.random.int_gene import filter_random
|
||||
from ...core.MO import MO, MOnumber
|
||||
from ...core.MO.fraction import MOFraction
|
||||
|
||||
__all__ = ["Integer", "Decimal"]
|
||||
__all__ = ["Integer", "Decimal", "Fraction"]
|
||||
|
||||
|
||||
class Integer(Token):
|
||||
@ -53,23 +52,6 @@ class Integer(Token):
|
||||
|
||||
return cls(mo, name, ancestor)
|
||||
|
||||
@classmethod
|
||||
def random(
|
||||
cls, name="", min_value=-10, max_value=10, rejected=[0, 1], accept_callbacks=[]
|
||||
):
|
||||
""" Generate a random Integer
|
||||
|
||||
:param name: name of the Integer
|
||||
:param min_value: minimum value
|
||||
:param max_value: maximum value
|
||||
:param rejected: rejected values
|
||||
:param accept_callbacks: list of function for value acceptation
|
||||
|
||||
"""
|
||||
candidate = filter_random(min_value, max_value, rejected, accept_callbacks)
|
||||
|
||||
return Integer(candidate, name)
|
||||
|
||||
|
||||
class Decimal(Token):
|
||||
|
||||
@ -107,40 +89,10 @@ class Decimal(Token):
|
||||
|
||||
return cls(mo, name, ancestor)
|
||||
|
||||
@classmethod
|
||||
def random(
|
||||
cls,
|
||||
name="",
|
||||
min_value=-10,
|
||||
max_value=10,
|
||||
digits=2,
|
||||
rejected=[0, 1],
|
||||
reject_callbacks=[],
|
||||
):
|
||||
""" Generate a random Decimal
|
||||
|
||||
:param name: name of the Integer
|
||||
:param min_value: minimum value
|
||||
:param max_value: maximum value
|
||||
:param digits: digits after comas
|
||||
:param rejected: rejected values
|
||||
:param reject_callbacks: list of function for value rejection
|
||||
|
||||
"""
|
||||
conditions = [lambda x: x in rejected] + reject_callbacks
|
||||
|
||||
float_cand = (max_value - min_value) * random() + min_value
|
||||
candidate = _Decimal(f"{float_cand:.{digits}f}")
|
||||
while any(c(candidate) for c in conditions):
|
||||
float_cand = (max_value - min_value) * random() + min_value
|
||||
candidate = _Decimal(f"{float_cand:.{digits}f}")
|
||||
|
||||
return Decimal(candidate, name)
|
||||
|
||||
|
||||
class Fraction(Token):
|
||||
|
||||
""" Token representing a fraction
|
||||
""" Token representing a fraction of numbers
|
||||
|
||||
:example:
|
||||
>>> Fraction("3/4")
|
||||
@ -171,76 +123,92 @@ class Fraction(Token):
|
||||
|
||||
return cls(mo, name, ancestor)
|
||||
|
||||
@classmethod
|
||||
def random(
|
||||
cls,
|
||||
name="",
|
||||
fix_num="",
|
||||
min_num=-10,
|
||||
max_num=10,
|
||||
rejected_num=[0],
|
||||
accept_num_callbacks=[],
|
||||
fix_denom="",
|
||||
min_denom=-10,
|
||||
max_denom=10,
|
||||
rejected_denom=[0, 1, -1],
|
||||
accept_denom_callbacks=[],
|
||||
irreductible=False,
|
||||
not_integer=True,
|
||||
):
|
||||
""" Generate a random Fraction
|
||||
|
||||
:param name: Name of the fraction
|
||||
:param fix_num: if set, the numerator will get this value
|
||||
:param min_num: minimum value for the numerator
|
||||
:param max_num: maximum value for the numerator
|
||||
:param rejected_num: rejected values for the numerator
|
||||
:param accept_num_callbacks: list of function for numerator rejection
|
||||
:param fix_denom: if set, the denomerator will get this value
|
||||
:param min_denom: minimum value for the denominator
|
||||
:param max_denom: maximum value for the denominator
|
||||
:param rejected_denom: rejected values for the denominator
|
||||
:param accept_denom_callbacks: list of function for denomerator rejection
|
||||
:param irreductible: is the generated fraction necessary irreductible
|
||||
:param not_integer: can the generated fraction be egal to an interger
|
||||
"""
|
||||
if fix_num == "":
|
||||
num = filter_random(min_num, max_num, rejected_num, accept_num_callbacks)
|
||||
else:
|
||||
num = fix_num
|
||||
|
||||
if fix_denom == "":
|
||||
accept_callbacks = accept_denom_callbacks
|
||||
|
||||
if irreductible:
|
||||
|
||||
def prime_with_num(denom):
|
||||
return gcd(num, denom) == 1
|
||||
|
||||
accept_callbacks.append(prime_with_num)
|
||||
if not_integer:
|
||||
|
||||
def not_divise_num(denom):
|
||||
return num % denom != 0
|
||||
|
||||
accept_callbacks.append(not_divise_num)
|
||||
|
||||
denom = filter_random(
|
||||
min_denom, max_denom, rejected_denom, accept_callbacks
|
||||
)
|
||||
else:
|
||||
denom = fix_denom
|
||||
|
||||
frac = MOFraction(num, denom)
|
||||
return cls(frac, name)
|
||||
|
||||
@property
|
||||
def numerator(self):
|
||||
return self._mo.numerator
|
||||
""" Get numerator of the fraction
|
||||
|
||||
:example:
|
||||
>>> a = Fraction("3/4")
|
||||
>>> a.numerator
|
||||
<Integer 3>
|
||||
"""
|
||||
return Integer(self._mo.numerator)
|
||||
|
||||
@property
|
||||
def denominator(self):
|
||||
return self._mo.denominator
|
||||
""" Get denominator of the fraction
|
||||
|
||||
:example:
|
||||
>>> a = Fraction("3/4")
|
||||
>>> a.denominator
|
||||
<Integer 4>
|
||||
"""
|
||||
return Integer(self._mo.denominator)
|
||||
|
||||
@property
|
||||
def decimal(self):
|
||||
""" return decimal approximation of the fraction
|
||||
|
||||
:example:
|
||||
>>> f = Fraction("3/4")
|
||||
>>> f.decimal
|
||||
<Decimal 0.75>
|
||||
>>> f = Fraction("1/3")
|
||||
>>> f.decimal
|
||||
<Decimal 0.3333333333333333333333333333>
|
||||
"""
|
||||
return Decimal(self._mo._value)
|
||||
|
||||
@property
|
||||
def simplified(self):
|
||||
""" Get the irreductible version of self
|
||||
|
||||
:example:
|
||||
>>> f = Fraction("3/4")
|
||||
>>> f.simplified
|
||||
<Fraction 3 / 4>
|
||||
>>> f = Fraction("12/9")
|
||||
>>> f.simplified
|
||||
<Fraction 4 / 3>
|
||||
>>> f = Fraction("12/4")
|
||||
>>> f.simplified
|
||||
<Integer 3>
|
||||
|
||||
"""
|
||||
simplified = self._mo.simplified()
|
||||
|
||||
if isinstance(simplified, MOnumber):
|
||||
return Integer(simplified)
|
||||
|
||||
return Fraction(simplified)
|
||||
|
||||
def simplify(self):
|
||||
""" Itself or its simplified version
|
||||
|
||||
:example:
|
||||
>>> f = Fraction("12/8")
|
||||
>>> fs = f.simplify()
|
||||
>>> for i in fs.explain():
|
||||
... print(i)
|
||||
12 / 8
|
||||
3 / 2
|
||||
>>> f = Fraction("5/8")
|
||||
>>> fs = f.simplify()
|
||||
>>> for i in fs.explain():
|
||||
... print(i)
|
||||
5 / 8
|
||||
"""
|
||||
simplified = self.simplified
|
||||
try:
|
||||
if self.numerator == simplified.numerator:
|
||||
return self
|
||||
except AttributeError:
|
||||
pass
|
||||
|
||||
simplified._ancestor = self
|
||||
return simplified
|
||||
|
||||
|
||||
|
||||
|
||||
# -----------------------------
|
||||
|
@ -10,26 +10,33 @@
|
||||
Tokens representing polynomials functions
|
||||
|
||||
"""
|
||||
from ..expression import Expression
|
||||
from .token import Token
|
||||
from . import to_be_token
|
||||
from ...core.MO import MO
|
||||
from ...core.MO.atoms import moify
|
||||
from ...core.MO.polynomial import MOpolynomial
|
||||
|
||||
__all__ = ["Polynomial", "Quadratic", "Linear"]
|
||||
|
||||
|
||||
class Polynomial(Token):
|
||||
|
||||
""" Token representing a polynomial """
|
||||
""" Token representing a polynomial
|
||||
|
||||
:examples:
|
||||
>>> from ...core.MO.polynomial import MOpolynomial
|
||||
>>> P = Polynomial(MOpolynomial('x', [1, 2, 3]))
|
||||
>>> P
|
||||
<Polynomial 3x^2 + 2x + 1>
|
||||
"""
|
||||
|
||||
def __init__(self, a, name="", ancestor=None):
|
||||
""" Initiate Polynomial with a MO"""
|
||||
if not isinstance(a, MO):
|
||||
if isinstance(a, str):
|
||||
raise TypeError
|
||||
else:
|
||||
raise TypeError
|
||||
else:
|
||||
mo = a
|
||||
|
||||
Token.__init__(self, mo, name, ancestor)
|
||||
Token.__init__(self, a, name, ancestor)
|
||||
self._mathtype = "polynome"
|
||||
|
||||
@classmethod
|
||||
@ -38,48 +45,271 @@ class Polynomial(Token):
|
||||
return cls(mo, name, ancestor)
|
||||
|
||||
@classmethod
|
||||
def random(cls):
|
||||
raise NotImplemented
|
||||
def from_coefficients(cls, coefficients, variable_name="x", name=""):
|
||||
""" Initiate polynomial from list of coefficients
|
||||
|
||||
:examples:
|
||||
>>> P = Polynomial.from_coefficients([1, 2, 3])
|
||||
>>> P
|
||||
<Polynomial 3x^2 + 2x + 1>
|
||||
>>> P = Polynomial.from_coefficients([1, 2, -3])
|
||||
>>> P
|
||||
<Polynomial - 3x^2 + 2x + 1>
|
||||
>>> P = Polynomial.from_coefficients([1, 2, 3], "y")
|
||||
>>> P
|
||||
<Polynomial 3y^2 + 2y + 1>
|
||||
"""
|
||||
return cls(MOpolynomial(variable_name, coefficients), name)
|
||||
|
||||
@property
|
||||
def raw(self):
|
||||
raise NotImplementedError("Polynomial does not exists in python")
|
||||
|
||||
def __setitem__(self, key, item):
|
||||
""" Use Polynomial like if they were a dictionnary to set coefficients """
|
||||
pass
|
||||
raise NotImplementedError("Can't set coefficient of a polynomial")
|
||||
|
||||
@to_be_token
|
||||
def __getitem__(self, key):
|
||||
""" Use Polynomial like if they were a dictionnary to get coefficients """
|
||||
pass
|
||||
""" Use Polynomial like if they were a dictionnary to get coefficients
|
||||
|
||||
:examples:
|
||||
>>> from ...core.MO.polynomial import MOpolynomial
|
||||
>>> P = Polynomial(MOpolynomial('x', [1, 2, 3]))
|
||||
>>> P[0]
|
||||
<Integer 1>
|
||||
>>> P[1]
|
||||
<Integer 2>
|
||||
>>> P[2]
|
||||
<Integer 3>
|
||||
>>> P[3]
|
||||
Traceback (most recent call last):
|
||||
...
|
||||
KeyError: 3
|
||||
"""
|
||||
return self._mo.coefficients[key]
|
||||
|
||||
def __call__(self, value):
|
||||
""" Call a Polynomial to evaluate itself on value """
|
||||
pass
|
||||
""" Call a Polynomial to evaluate itself on value
|
||||
|
||||
:examples:
|
||||
>>> from ...core.MO.polynomial import MOpolynomial
|
||||
>>> P = Polynomial(MOpolynomial('x', [1, 2, 3]))
|
||||
>>> for s in P(2).explain():
|
||||
... print(s)
|
||||
3 * 2^2 + 2 * 2 + 1
|
||||
3 * 4 + 4 + 1
|
||||
12 + 5
|
||||
17
|
||||
"""
|
||||
return Expression(self._mo.tree)(value)
|
||||
|
||||
def differentiate(self):
|
||||
""" Differentiate a polynome
|
||||
|
||||
:example:
|
||||
>>> from ...core.MO.polynomial import MOpolynomial
|
||||
>>> P = Polynomial(MOpolynomial('x', [1, 2, 3]))
|
||||
>>> P
|
||||
<Polynomial 3x^2 + 2x + 1>
|
||||
>>> P.differentiate()
|
||||
<Linear 6x + 2>
|
||||
>>> for s in P.differentiate().explain():
|
||||
... print(s)
|
||||
0 + 2 + 3 * 2x
|
||||
2 + 3 * 2 * x
|
||||
6x + 2
|
||||
"""
|
||||
return Expression(self._mo.differentiate()).simplify()
|
||||
|
||||
@property
|
||||
def roots(self):
|
||||
""" Get roots of the Polynomial """
|
||||
raise NotImplementedError("Can't compute roots not specific polynomial")
|
||||
|
||||
|
||||
class Linear(Polynomial):
|
||||
|
||||
""" Token representing a linear """
|
||||
""" Token representing a linear ax + b
|
||||
|
||||
:examples:
|
||||
>>> from ...core.MO.polynomial import MOpolynomial, MOMonomial
|
||||
>>> P = Linear(MOpolynomial('x', [1, 2]))
|
||||
>>> P
|
||||
<Linear 2x + 1>
|
||||
>>> P.a
|
||||
<Integer 2>
|
||||
>>> P.b
|
||||
<Integer 1>
|
||||
>>> P.differentiate()
|
||||
<Integer 2>
|
||||
>>> P.roots
|
||||
[<Integer - 2>]
|
||||
>>> for i in P.roots[0].explain():
|
||||
... print(i)
|
||||
- 2 / 1
|
||||
- 2
|
||||
|
||||
"""
|
||||
|
||||
def __init__(self, mo, name="", ancestor=None):
|
||||
""" Initiate Linear with MO
|
||||
|
||||
:examples:
|
||||
>>> from ...core.MO.polynomial import MOpolynomial, MOMonomial
|
||||
>>> P = Linear(MOpolynomial('x', [1, 2]))
|
||||
>>> P
|
||||
<Linear 2x + 1>
|
||||
>>> Q = Linear(MOMonomial(3, 'x', 1))
|
||||
>>> Q
|
||||
<Linear 3x>
|
||||
"""
|
||||
Polynomial.__init__(self, mo, name, ancestor)
|
||||
self._mathtype = "affine"
|
||||
|
||||
@classmethod
|
||||
def random(cls):
|
||||
raise NotImplemented
|
||||
@property
|
||||
@to_be_token
|
||||
def a(self):
|
||||
return self[1]
|
||||
|
||||
@property
|
||||
@to_be_token
|
||||
def b(self):
|
||||
return self[0]
|
||||
|
||||
@property
|
||||
@to_be_token
|
||||
def roots(self):
|
||||
""" Get the root of the polynomial
|
||||
|
||||
:examples:
|
||||
>>> from ...core.MO.polynomial import MOpolynomial, MOMonomial
|
||||
>>> P = Linear(MOpolynomial('x', [1, 2]))
|
||||
>>> P.roots
|
||||
[<Integer - 2>]
|
||||
>>> P = Linear(MOpolynomial('x', [2, 1]))
|
||||
>>> P.roots
|
||||
[<Fraction - 1 / 2>]
|
||||
>>> for i in P.roots[0].explain():
|
||||
... print(i)
|
||||
- 1 / 2
|
||||
>>> P = Linear(MOpolynomial('x', [10, 6]))
|
||||
>>> P.roots
|
||||
[<Fraction - 3 / 5>]
|
||||
>>> for i in P.roots[0].explain():
|
||||
... print(i)
|
||||
- 6 / 10
|
||||
- 3 / 5
|
||||
"""
|
||||
|
||||
try:
|
||||
return [Expression.from_str(f"-{self.a}/{self.b}").simplify()]
|
||||
except AttributeError:
|
||||
return [Expression.from_str(f"-{self.a}/{self.b}")]
|
||||
|
||||
|
||||
class Quadratic(Polynomial):
|
||||
|
||||
""" Token representing a quadratic """
|
||||
""" Token representing a quadratic ax^2 + bx + c
|
||||
|
||||
:examples:
|
||||
>>> from ...core.MO.polynomial import MOpolynomial
|
||||
>>> P = Quadratic(MOpolynomial('x', [1, 2, 3]))
|
||||
>>> P
|
||||
<Quadratic 3x^2 + 2x + 1>
|
||||
>>> P.a
|
||||
<Integer 3>
|
||||
>>> P.b
|
||||
<Integer 2>
|
||||
>>> P.c
|
||||
<Integer 1>
|
||||
>>> P.delta
|
||||
<Integer - 8>
|
||||
>>> for s in P.delta.explain():
|
||||
... print(s)
|
||||
2^2 - 4 * 3 * 1
|
||||
4 - 12 * 1
|
||||
4 - 12
|
||||
- 8
|
||||
>>> P.differentiate()
|
||||
<Linear 6x + 2>
|
||||
>>> P.roots
|
||||
[]
|
||||
|
||||
"""
|
||||
|
||||
def __init__(self, mo, name="", ancestor=None):
|
||||
""" Initiate Quadratic from MO
|
||||
|
||||
>>> from ...core.MO.polynomial import MOpolynomial
|
||||
>>> P = Quadratic(MOpolynomial('x', [1, 2, 3]))
|
||||
>>> P
|
||||
<Quadratic 3x^2 + 2x + 1>
|
||||
"""
|
||||
|
||||
Polynomial.__init__(self, mo, name, ancestor)
|
||||
self._mathtype = "polynome du 2nd degré"
|
||||
|
||||
@classmethod
|
||||
def random(cls):
|
||||
raise NotImplemented
|
||||
@property
|
||||
@to_be_token
|
||||
def a(self):
|
||||
try:
|
||||
return self[2]
|
||||
except KeyError:
|
||||
return 0
|
||||
|
||||
@property
|
||||
@to_be_token
|
||||
def b(self):
|
||||
try:
|
||||
return self[1]
|
||||
except KeyError:
|
||||
return 0
|
||||
|
||||
@property
|
||||
@to_be_token
|
||||
def c(self):
|
||||
try:
|
||||
return self[0]
|
||||
except KeyError:
|
||||
return 0
|
||||
|
||||
@property
|
||||
@to_be_token
|
||||
def delta(self):
|
||||
return Expression.from_str(f"{self.b}^2-4*{self.a}*{self.c}").simplify()
|
||||
|
||||
@property
|
||||
@to_be_token
|
||||
def roots(self):
|
||||
""" Roots of the polynom
|
||||
|
||||
:example:
|
||||
>>> from ...core.MO.polynomial import MOpolynomial
|
||||
>>> P = Quadratic(MOpolynomial('x', [1, 0, 1]))
|
||||
>>> P.roots
|
||||
[]
|
||||
>>> P = Quadratic(MOpolynomial('x', [4, -4, 1]))
|
||||
>>> P.roots
|
||||
[<Integer 2>]
|
||||
>>> P = Quadratic(MOpolynomial('x', [1, 0, -1]))
|
||||
>>> P.roots
|
||||
[<Integer - 1>, <Integer 1>]
|
||||
"""
|
||||
if self.delta._mo < 0:
|
||||
return []
|
||||
elif self.delta._mo == 0:
|
||||
# return [Expression.from_str(f"-{self.b}/(2*{self.a})").simplify()]
|
||||
return [round(eval(f"-{self.b}/(2*{self.a})"), 2)]
|
||||
else:
|
||||
from math import sqrt
|
||||
|
||||
roots = [
|
||||
str(eval(f"(-{self.b}-sqrt({self.delta}))/(2*{self.a})")),
|
||||
str(eval(f"(-{self.b}+sqrt({self.delta}))/(2*{self.a})")),
|
||||
]
|
||||
roots.sort()
|
||||
return roots
|
||||
|
||||
|
||||
# -----------------------------
|
||||
|
@ -10,33 +10,20 @@
|
||||
Tokens: practical envelop of math object
|
||||
|
||||
"""
|
||||
from ..renders import renders
|
||||
from ..renders import render
|
||||
from ...core.MO.atoms import moify
|
||||
|
||||
|
||||
class Token(object):
|
||||
|
||||
""" Token: practical envelop of an math object """
|
||||
|
||||
RENDER = "txt"
|
||||
|
||||
def __init__(self, mo, name="", ancestor=None):
|
||||
self._mo = mo
|
||||
self.name = name
|
||||
self._mathtype = None
|
||||
self._ancestor = ancestor
|
||||
|
||||
@classmethod
|
||||
def random(cls):
|
||||
raise NotImplemented
|
||||
|
||||
@classmethod
|
||||
def set_render(cls, render):
|
||||
""" Define default render function
|
||||
|
||||
:param render: render name (txt or tex)
|
||||
"""
|
||||
cls.RENDER = render
|
||||
|
||||
def explain(self):
|
||||
""" Yield every calculus step which have lead to self
|
||||
|
||||
@ -59,39 +46,39 @@ class Token(object):
|
||||
yield self
|
||||
|
||||
def __repr__(self):
|
||||
return f"<{self.__class__.__name__} {self.__txt__}>"
|
||||
try:
|
||||
return f"<{self.__class__.__name__} {render(self._mo._tree, 'txt')}>"
|
||||
except AttributeError:
|
||||
return f"<{self.__class__.__name__} {render(self._mo, 'txt')}>"
|
||||
|
||||
def __str__(self):
|
||||
if self.RENDER == "tex":
|
||||
return self.__tex__
|
||||
elif self.RENDER == "txt":
|
||||
return self.__txt__
|
||||
else:
|
||||
raise ValueError(f"Unknow render {self.RENDER}")
|
||||
|
||||
#return renders[self.RENDER](self._mo)
|
||||
try:
|
||||
return render(self._mo._tree)
|
||||
except AttributeError:
|
||||
return render(self._mo)
|
||||
|
||||
@property
|
||||
def __txt__(self):
|
||||
return self._mo.__txt__
|
||||
|
||||
@property
|
||||
def __tex__(self):
|
||||
return self._mo.__tex__
|
||||
def raw(self):
|
||||
""" Get python's raw forme of the token """
|
||||
return self._mo.content
|
||||
|
||||
def _operate(self, other, operation):
|
||||
""" Make a operation between 2 Tokens,
|
||||
a Token and en Expression ora
|
||||
a Token an a builtin type
|
||||
"""
|
||||
""" Make a operation between 2 Tokens """
|
||||
from ..expression import Expression
|
||||
from ...core import Tree
|
||||
from . import factory
|
||||
|
||||
if not isinstance(other, Token):
|
||||
try:
|
||||
_other = factory(other)
|
||||
except AttributeError:
|
||||
_other = factory(Expression(moify(other)))
|
||||
else:
|
||||
_other = other
|
||||
|
||||
if operation == '-':
|
||||
tree = Tree("+", self._mo, Tree("-", None, _other._mo))
|
||||
else:
|
||||
tree = Tree(operation, self._mo, _other._mo)
|
||||
return Expression(tree).simplify()
|
||||
|
||||
@ -109,6 +96,18 @@ class Token(object):
|
||||
... print(i)
|
||||
3 + 7
|
||||
10
|
||||
>>> a = Integer(3)
|
||||
>>> c = a + 7
|
||||
>>> c
|
||||
<Integer 10>
|
||||
>>> for i in c.explain():
|
||||
... print(i)
|
||||
3 + 7
|
||||
10
|
||||
>>> a = Integer(3)
|
||||
>>> c = a + "x"
|
||||
>>> c
|
||||
<Linear x + 3>
|
||||
>>> from .number import Fraction
|
||||
>>> a = Fraction("4/3")
|
||||
>>> b = Integer(7)
|
||||
@ -126,6 +125,32 @@ class Token(object):
|
||||
"""
|
||||
return self._operate(other, "+")
|
||||
|
||||
def __sub__(self, other):
|
||||
""" Subing 2 Tokens or a Token and a Expression
|
||||
|
||||
:example:
|
||||
>>> from .number import Integer
|
||||
>>> a = Integer(3)
|
||||
>>> b = Integer(7)
|
||||
>>> c = a - b
|
||||
>>> c
|
||||
<Integer - 4>
|
||||
>>> for i in c.explain():
|
||||
... print(i)
|
||||
3 - 7
|
||||
3 - 7
|
||||
- 4
|
||||
>>> a = Integer(3)
|
||||
>>> c = a - 7
|
||||
>>> c
|
||||
<Integer - 4>
|
||||
>>> a = Integer(3)
|
||||
>>> c = a - "x"
|
||||
>>> c
|
||||
<Linear - x + 3>
|
||||
"""
|
||||
return self._operate(other, "-")
|
||||
|
||||
def __mul__(self, other):
|
||||
""" Multiply 2 Tokens or a Token and a Expression
|
||||
|
||||
@ -140,6 +165,12 @@ class Token(object):
|
||||
... print(i)
|
||||
3 * 7
|
||||
21
|
||||
>>> c = a * 7
|
||||
>>> c
|
||||
<Integer 21>
|
||||
>>> c = a * "x"
|
||||
>>> c
|
||||
<Linear 3x>
|
||||
>>> from .number import Fraction
|
||||
>>> a = Fraction("4/3")
|
||||
>>> b = Integer(7)
|
||||
@ -167,6 +198,9 @@ class Token(object):
|
||||
>>> for i in c.explain():
|
||||
... print(i)
|
||||
3 / 7
|
||||
>>> c = a / 7
|
||||
>>> c
|
||||
<Fraction 3 / 7>
|
||||
>>> from .number import Fraction
|
||||
>>> a = Fraction("4/3")
|
||||
>>> b = Integer(7)
|
||||
@ -182,6 +216,128 @@ class Token(object):
|
||||
"""
|
||||
return self._operate(other, "/")
|
||||
|
||||
def __pow__(self, other):
|
||||
""" Token powered by an other
|
||||
|
||||
:example:
|
||||
>>> from .number import Integer
|
||||
>>> a = Integer(3)
|
||||
>>> b = Integer(7)
|
||||
>>> c = a ** b
|
||||
>>> c
|
||||
<Integer 2187>
|
||||
>>> c = a ** 7
|
||||
>>> c
|
||||
<Integer 2187>
|
||||
>>> from .number import Decimal
|
||||
>>> a = Decimal('2.3')
|
||||
>>> c = a ** 2
|
||||
>>> c
|
||||
<Decimal 5.29>
|
||||
"""
|
||||
|
||||
return self._operate(other, "^")
|
||||
|
||||
def _roperate(self, other, operation):
|
||||
""" Make a operation between 2 Tokens """
|
||||
from ..expression import Expression
|
||||
from ...core import Tree
|
||||
from . import factory
|
||||
|
||||
if not isinstance(other, Token):
|
||||
try:
|
||||
_other = factory(other)
|
||||
except AttributeError:
|
||||
_other = factory(Expression(moify(other)))
|
||||
else:
|
||||
_other = other
|
||||
if operation == '-':
|
||||
tree = Tree("+", _other._mo, Tree("-", None, self._mo))
|
||||
else:
|
||||
tree = Tree(operation, _other._mo, self._mo)
|
||||
return Expression(tree).simplify()
|
||||
|
||||
def __radd__(self, other):
|
||||
""" Adding 2 Tokens or a Token and a Expression
|
||||
|
||||
:example:
|
||||
>>> from .number import Integer
|
||||
>>> a = Integer(3)
|
||||
>>> c = 7 + a
|
||||
>>> c
|
||||
<Integer 10>
|
||||
>>> c = "x" + a
|
||||
>>> c
|
||||
<Linear x + 3>
|
||||
"""
|
||||
return self._roperate(other, "+")
|
||||
|
||||
def __rsub__(self, other):
|
||||
""" Subing 2 Tokens or a Token and a Expression
|
||||
|
||||
:example:
|
||||
>>> from .number import Integer
|
||||
>>> a = Integer(3)
|
||||
>>> c = 7 - a
|
||||
>>> c
|
||||
<Integer 4>
|
||||
>>> a = Integer(3)
|
||||
>>> c = "x" - a
|
||||
>>> c
|
||||
<Linear x - 3>
|
||||
"""
|
||||
return self._roperate(other, "-")
|
||||
|
||||
def __rmul__(self, other):
|
||||
""" Multiply 2 Tokens or a Token and a Expression
|
||||
|
||||
:example:
|
||||
>>> from .number import Integer
|
||||
>>> a = Integer(3)
|
||||
>>> c = 7 * a
|
||||
>>> c
|
||||
<Integer 21>
|
||||
>>> c = "x" * a
|
||||
>>> c
|
||||
<Linear 3x>
|
||||
"""
|
||||
return self._roperate(other, "*")
|
||||
|
||||
def __rtruediv__(self, other):
|
||||
""" Divising 2 Tokens or a Token and a Expression
|
||||
|
||||
:example:
|
||||
>>> from .number import Integer
|
||||
>>> a = Integer(3)
|
||||
>>> c = 7 / a
|
||||
>>> c
|
||||
<Fraction 7 / 3>
|
||||
"""
|
||||
return self._roperate(other, "/")
|
||||
|
||||
def _get_soul(self, other=None):
|
||||
""" Get the builtin soul of self or other """
|
||||
if isinstance(other, Token):
|
||||
return other._mo._value
|
||||
elif not other is None:
|
||||
return other
|
||||
return self._mo._value
|
||||
|
||||
def __eq__(self, other):
|
||||
return self._get_soul() == self._get_soul(other)
|
||||
|
||||
def __gt__(self, other):
|
||||
return self._get_soul() > self._get_soul(other)
|
||||
|
||||
def __lt__(self, other):
|
||||
return self._get_soul() < self._get_soul(other)
|
||||
|
||||
def __ge__(self, other):
|
||||
return self._get_soul() >= self._get_soul(other)
|
||||
|
||||
def __le__(self, other):
|
||||
return self._get_soul() <= self._get_soul(other)
|
||||
|
||||
|
||||
# -----------------------------
|
||||
# Reglages pour 'vim'
|
||||
|
@ -12,8 +12,7 @@ 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
|
||||
>>> Expression.set_render("txt")
|
||||
>>> render.set_render("txt")
|
||||
>>> e = Expression.from_str("2x + 6 - 3x")
|
||||
>>> print(e)
|
||||
2x + 6 - 3x
|
||||
@ -27,12 +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
|
||||
from .API import render, Expression
|
||||
#from decimal import getcontext
|
||||
from . import random
|
||||
|
||||
__all__ = ["Expression"]
|
||||
#getcontext().prec = 2
|
||||
|
||||
|
||||
__all__ = ["render", "Expression", "random"]
|
||||
|
||||
|
||||
# -----------------------------
|
||||
|
@ -26,6 +26,7 @@ def moify(token):
|
||||
except MOError:
|
||||
return token
|
||||
|
||||
|
||||
@coroutine
|
||||
def moify_cor(target):
|
||||
""" Coroutine which try to convert a parsed token into an MO
|
||||
@ -91,6 +92,12 @@ class MOnumber(Atom):
|
||||
>>> MOnumber(Decimal("-23.3"))
|
||||
<MOnumber -23.3>
|
||||
|
||||
Or directly passe a decimal string
|
||||
>>> MOnumber("23.3")
|
||||
<MOnumber 23.3>
|
||||
>>> MOnumber("-23.3")
|
||||
<MOnumber -23.3>
|
||||
|
||||
MOnumber initialisation is idempotent
|
||||
|
||||
>>> a = MOnumber(23)
|
||||
@ -100,7 +107,7 @@ class MOnumber(Atom):
|
||||
>>> MOnumber("a")
|
||||
Traceback (most recent call last):
|
||||
...
|
||||
mapytex.calculus.core.MO.exceptions.MOError: ('The value of an MOnumber need to be a int, a float or a Decimal', "(got <class 'str'>)")
|
||||
mapytex.calculus.core.MO.exceptions.MOError: ('The value of an MOnumber need to be a int, a float, a Decimal or a decimal string', "(got <class 'str'>)")
|
||||
|
||||
Atoms specific property and methods
|
||||
|
||||
@ -117,15 +124,26 @@ class MOnumber(Atom):
|
||||
"""
|
||||
if isinstance(value, Atom) and isinstance(value.value, (int, Decimal, float)):
|
||||
Atom.__init__(self, value.value)
|
||||
elif isinstance(value, (int, Decimal)):
|
||||
Atom.__init__(self, value)
|
||||
elif isinstance(value, float):
|
||||
Atom.__init__(self, Decimal(value))
|
||||
elif isinstance(value, (float, Decimal)):
|
||||
if int(value) == value:
|
||||
Atom.__init__(self, int(value))
|
||||
else:
|
||||
Atom.__init__(self, Decimal(value))
|
||||
elif isinstance(value, int):
|
||||
Atom.__init__(self, value)
|
||||
else:
|
||||
try:
|
||||
v = float(value)
|
||||
except (ValueError, TypeError):
|
||||
raise MOError(
|
||||
"The value of an MOnumber need to be a int, a float or a Decimal",
|
||||
"The value of an MOnumber need to be a int, a float, a Decimal or a decimal string",
|
||||
f"(got {type(value)})",
|
||||
)
|
||||
else:
|
||||
if int(v) == v:
|
||||
Atom.__init__(self, int(v))
|
||||
else:
|
||||
Atom.__init__(self, Decimal(value))
|
||||
|
||||
self._signature = "scalar"
|
||||
|
||||
@ -154,7 +172,7 @@ class MOnumber(Atom):
|
||||
>>> MOnumber(-3).__tex__
|
||||
'- 3'
|
||||
"""
|
||||
if self.value > 0:
|
||||
if self.value >= 0:
|
||||
return str(self.value)
|
||||
|
||||
return f"- {abs(self.value)}"
|
||||
@ -166,6 +184,16 @@ class MOnumber(Atom):
|
||||
except AttributeError:
|
||||
return self.value < other
|
||||
|
||||
def differentiate(self):
|
||||
""" differentiate a number and get 0
|
||||
|
||||
:example:
|
||||
>>> a = MOnumber(3)
|
||||
>>> a.differentiate()
|
||||
<MOnumber 0>
|
||||
"""
|
||||
return MOnumber(0)
|
||||
|
||||
|
||||
class MOstr(Atom):
|
||||
|
||||
@ -231,7 +259,8 @@ class MOstr(Atom):
|
||||
f"An MOstr should be initiate with a single caracter string, got {val}"
|
||||
)
|
||||
if not val.isalpha():
|
||||
raise MOError(f"An MOstr should be initiate with a alpha string, got {val}")
|
||||
raise MOError(
|
||||
f"An MOstr should be initiate with a alpha string, got {val}")
|
||||
|
||||
Atom.__init__(self, val)
|
||||
|
||||
@ -260,6 +289,16 @@ class MOstr(Atom):
|
||||
def degree(self):
|
||||
return 1
|
||||
|
||||
def differentiate(self):
|
||||
""" differentiate a variable and get 1
|
||||
|
||||
:example:
|
||||
>>> a = MOstr("x")
|
||||
>>> a.differentiate()
|
||||
<MOnumber 1>
|
||||
"""
|
||||
return MOnumber(1)
|
||||
|
||||
|
||||
# -----------------------------
|
||||
# Reglages pour 'vim'
|
||||
|
@ -8,6 +8,9 @@
|
||||
|
||||
from mapytex.calculus.core.tree import Tree
|
||||
from .mo import Molecule, MO
|
||||
from .atoms import MOnumber
|
||||
from decimal import Decimal
|
||||
from ..arithmetic import gcd
|
||||
|
||||
__all__ = ["MOFraction"]
|
||||
|
||||
@ -31,10 +34,10 @@ class MOFraction(Molecule):
|
||||
>>> f = MOFraction(2, 3)
|
||||
>>> f
|
||||
<MOFraction 2 / 3>
|
||||
>>> print(f.__txt__)
|
||||
2 / 3
|
||||
>>> print(f.__tex__)
|
||||
\\frac{2}{3}
|
||||
>>> print(f.tree)
|
||||
/
|
||||
> 2
|
||||
> 3
|
||||
>>> print(f)
|
||||
2 / 3
|
||||
>>> f = MOFraction(2, 3, negative = True)
|
||||
@ -43,11 +46,13 @@ class MOFraction(Molecule):
|
||||
"""
|
||||
_numerator = MO.factory(numerator)
|
||||
_denominator = MO.factory(denominator)
|
||||
|
||||
base_tree = Tree("/", _numerator, _denominator)
|
||||
if negative:
|
||||
tree = Tree("-", None, base_tree)
|
||||
else:
|
||||
tree = base_tree
|
||||
|
||||
Molecule.__init__(self, tree)
|
||||
|
||||
self._numerator = _numerator
|
||||
@ -67,10 +72,61 @@ class MOFraction(Molecule):
|
||||
def denominator(self):
|
||||
return self._denominator
|
||||
|
||||
@property
|
||||
def _value(self):
|
||||
return Decimal(self._numerator._value) / Decimal(self._denominator._value)
|
||||
|
||||
def inverse(self):
|
||||
""" return the inverse fraction """
|
||||
return MOFraction(self._denominator, self._numerator, self.negative)
|
||||
|
||||
def differentiate(self):
|
||||
""" differentiate a fraction and get something!
|
||||
|
||||
:example:
|
||||
>>> a = MOFraction(2, 3)
|
||||
>>> a.differentiate()
|
||||
<MOnumber 0>
|
||||
"""
|
||||
d_num = self.numerator.differentiate()
|
||||
d_denom = self.denominator.differentiate()
|
||||
|
||||
if d_num == 0 and d_denom == 0:
|
||||
return MOnumber(0)
|
||||
else:
|
||||
raise NotImplementedError
|
||||
|
||||
def simplified(self):
|
||||
""" Simplified version of self
|
||||
|
||||
:examplex
|
||||
>>> f = MOFraction(2, 3)
|
||||
>>> f
|
||||
<MOFraction 2 / 3>
|
||||
>>> f.simplified()
|
||||
<MOFraction 2 / 3>
|
||||
>>> f = MOFraction(2, 6)
|
||||
>>> f
|
||||
<MOFraction 2 / 6>
|
||||
>>> f.simplified()
|
||||
<MOFraction 1 / 3>
|
||||
>>> f = MOFraction(32, 24)
|
||||
>>> f.simplified()
|
||||
<MOFraction 4 / 3>
|
||||
>>> f = MOFraction(32, 8)
|
||||
>>> f.simplified()
|
||||
<MOnumber 4>
|
||||
"""
|
||||
frac_gcd = gcd(self.numerator._value, self.denominator._value)
|
||||
new_num = self.numerator._value / frac_gcd
|
||||
new_denom = self.denominator._value / frac_gcd
|
||||
|
||||
if new_denom == 1:
|
||||
return MOnumber(new_num)
|
||||
|
||||
return MOFraction(new_num, new_denom)
|
||||
|
||||
|
||||
|
||||
# -----------------------------
|
||||
# Reglages pour 'vim'
|
||||
|
@ -57,20 +57,12 @@ class MO(ABC):
|
||||
pass
|
||||
|
||||
def __repr__(self):
|
||||
return f"<{self.__class__.__name__} {self.__txt__}>"
|
||||
return f"<{self.__class__.__name__} {self.__str__()}>"
|
||||
|
||||
@abstractmethod
|
||||
def __str__(self):
|
||||
pass
|
||||
|
||||
@abstractmethod
|
||||
def __txt__(self):
|
||||
pass
|
||||
|
||||
@abstractmethod
|
||||
def __tex__(self):
|
||||
pass
|
||||
|
||||
def __hash__(self):
|
||||
try:
|
||||
return self._tree.__hash__()
|
||||
@ -97,6 +89,9 @@ class MO(ABC):
|
||||
"""
|
||||
return self._signature
|
||||
|
||||
def differentiate(self):
|
||||
raise NotImplementedError
|
||||
|
||||
|
||||
class Atom(MO):
|
||||
|
||||
@ -158,21 +153,21 @@ class Molecule(MO):
|
||||
|
||||
It is a wrapping of tree
|
||||
|
||||
Its wrapping tree can be access throw .tree property
|
||||
Its wrapping tree can be access through .tree property
|
||||
"""
|
||||
|
||||
MAINOP = None
|
||||
|
||||
def __init__(self, value):
|
||||
def __init__(self, tree):
|
||||
""" Initiate the MO
|
||||
|
||||
It should be idempotent.
|
||||
|
||||
"""
|
||||
try:
|
||||
self._tree = value._tree
|
||||
self._tree = tree._tree
|
||||
except AttributeError:
|
||||
self._tree = value
|
||||
self._tree = tree
|
||||
|
||||
self.is_scalar = True
|
||||
self._signature = None
|
||||
@ -183,18 +178,10 @@ class Molecule(MO):
|
||||
|
||||
@property
|
||||
def content(self):
|
||||
return self._tree
|
||||
return self.tree
|
||||
|
||||
def __str__(self):
|
||||
return str(self.__txt__)
|
||||
|
||||
@property
|
||||
def __txt__(self):
|
||||
return tree2txt(self._tree)
|
||||
|
||||
@property
|
||||
def __tex__(self):
|
||||
return tree2tex(self._tree)
|
||||
return tree2txt(self.tree)
|
||||
|
||||
|
||||
# -----------------------------
|
||||
|
@ -31,10 +31,10 @@ class MOstrPower(Molecule):
|
||||
<MOstrPower x^2>
|
||||
>>> print(s)
|
||||
x^2
|
||||
>>> print(s.__txt__)
|
||||
x^2
|
||||
>>> print(s.__tex__)
|
||||
x^{2}
|
||||
>>> print(s.tree)
|
||||
^
|
||||
> x
|
||||
> 2
|
||||
>>> MOstrPower(3, 1)
|
||||
Traceback (most recent call last):
|
||||
...
|
||||
@ -59,7 +59,8 @@ class MOstrPower(Molecule):
|
||||
"""
|
||||
_variable = MO.factory(variable)
|
||||
if not isinstance(_variable, MOstr):
|
||||
raise MOError("The variable of a monomial should be convertible into MOstr")
|
||||
raise MOError(
|
||||
"The variable of a monomial should be convertible into MOstr")
|
||||
self._variable = _variable
|
||||
|
||||
_power = MO.factory(power)
|
||||
@ -111,6 +112,23 @@ class MOstrPower(Molecule):
|
||||
"""
|
||||
return f"monome{self.power}"
|
||||
|
||||
def differentiate(self):
|
||||
""" differentiate a MOstrPower and get a tree
|
||||
|
||||
:example:
|
||||
>>> a = MOstrPower('x', 3)
|
||||
>>> print(a.differentiate())
|
||||
*
|
||||
> 3
|
||||
> x^2
|
||||
"""
|
||||
if self._power > 2:
|
||||
return Tree(
|
||||
"*", self.power, MOstrPower(self.variable,
|
||||
self._power._value - 1)
|
||||
)
|
||||
return Tree("*", self.power, MOstr(self.variable))
|
||||
|
||||
|
||||
class MOMonomial(Molecule):
|
||||
|
||||
@ -131,22 +149,20 @@ class MOMonomial(Molecule):
|
||||
<MOMonomial 4x>
|
||||
>>> print(m)
|
||||
4x
|
||||
>>> print(m.__txt__)
|
||||
4x
|
||||
>>> print(m.__tex__)
|
||||
4x
|
||||
>>> print(m.tree)
|
||||
*
|
||||
> 4
|
||||
> x
|
||||
>>> x = MOstrPower('x', 2)
|
||||
>>> MOMonomial(4, x)
|
||||
<MOMonomial 4x^2>
|
||||
>>> m = MOMonomial(4, 'x')
|
||||
>>> m = MOMonomial(-1, 'x')
|
||||
>>> m
|
||||
<MOMonomial 4x>
|
||||
>>> print(m)
|
||||
4x
|
||||
>>> print(m.__txt__)
|
||||
4x
|
||||
>>> print(m.__tex__)
|
||||
4x
|
||||
<MOMonomial - x>
|
||||
>>> print(m.tree)
|
||||
-
|
||||
> None
|
||||
> x
|
||||
>>> MOMonomial(4, 'x', 1)
|
||||
<MOMonomial 4x>
|
||||
>>> MOMonomial(4, 'x', 2)
|
||||
@ -154,6 +170,13 @@ class MOMonomial(Molecule):
|
||||
>>> x2 = MOstrPower('x', 2)
|
||||
>>> MOMonomial(4, x2, 3)
|
||||
<MOMonomial 4x^6>
|
||||
>>> m = MOMonomial(-1, 'x', 2)
|
||||
>>> m
|
||||
<MOMonomial - x^2>
|
||||
>>> print(m.tree)
|
||||
-
|
||||
> None
|
||||
> x^2
|
||||
>>> MOMonomial(0, x)
|
||||
Traceback (most recent call last):
|
||||
...
|
||||
@ -183,34 +206,21 @@ class MOMonomial(Molecule):
|
||||
self._power = _power
|
||||
|
||||
try:
|
||||
if self._coefficient.value != 1:
|
||||
_tree = Tree("*", self._coefficient, self.strpower)
|
||||
else:
|
||||
if self.coefficient.value == 1:
|
||||
_tree = self.strpower
|
||||
else:
|
||||
_tree = Tree("*", self.coefficient, self.strpower)
|
||||
except AttributeError:
|
||||
_tree = Tree("*", self._coefficient, self.strpower)
|
||||
_tree = Tree("*", self.coefficient, self.strpower)
|
||||
|
||||
Molecule.__init__(self, _tree)
|
||||
|
||||
def __str__(self):
|
||||
if self._coefficient != -1:
|
||||
return super(MOMonomial, self).__str__()
|
||||
else:
|
||||
return "- " + self.strpower.__str__()
|
||||
|
||||
@property
|
||||
def __txt__(self):
|
||||
if self._coefficient != -1:
|
||||
return super(MOMonomial, self).__txt__
|
||||
else:
|
||||
return "- " + self.strpower.__txt__
|
||||
def tree(self):
|
||||
if self._coefficient == -1:
|
||||
return Tree("-", None, self.strpower)
|
||||
|
||||
@property
|
||||
def __tex__(self):
|
||||
if self._coefficient != -1:
|
||||
return super(MOMonomial, self).__tex__
|
||||
else:
|
||||
return "- " + self.strpower.__tex__
|
||||
return Tree("*", self.coefficient, self.strpower)
|
||||
|
||||
@property
|
||||
def coefficient(self):
|
||||
@ -258,6 +268,31 @@ class MOMonomial(Molecule):
|
||||
"""
|
||||
return f"monome{self.power}"
|
||||
|
||||
def differentiate(self):
|
||||
""" Differentiate a MOMonomial and get a tree
|
||||
|
||||
:example:
|
||||
>>> x = MOstr('x')
|
||||
>>> m = MOMonomial(4, x)
|
||||
>>> m
|
||||
<MOMonomial 4x>
|
||||
>>> print(m.differentiate())
|
||||
4
|
||||
>>> m = MOMonomial(4, 'x', 2)
|
||||
>>> m
|
||||
<MOMonomial 4x^2>
|
||||
>>> print(m.differentiate())
|
||||
*
|
||||
> 4
|
||||
> *
|
||||
| > 2
|
||||
| > x
|
||||
|
||||
"""
|
||||
if self.power == 1:
|
||||
return self.coefficient
|
||||
return Tree("*", self.coefficient, self.strpower.differentiate())
|
||||
|
||||
|
||||
# -----------------------------
|
||||
# Reglages pour 'vim'
|
||||
|
@ -6,6 +6,7 @@
|
||||
#
|
||||
# Distributed under terms of the MIT license.
|
||||
|
||||
from collections import OrderedDict
|
||||
from mapytex.calculus.core.tree import Tree
|
||||
from . import MO, MOstr
|
||||
from .mo import Molecule
|
||||
@ -57,8 +58,9 @@ class MOpolynomial(Molecule):
|
||||
raise TypeError("Coefs needs to be a dictionnary or a list")
|
||||
self._coefs = _coefs
|
||||
|
||||
monomials = {}
|
||||
for deg, coef in self._coefs.items():
|
||||
monomials = OrderedDict()
|
||||
for deg in sorted(self._coefs.keys()):
|
||||
coef = self._coefs[deg]
|
||||
if deg == 0:
|
||||
monomials[deg] = coef
|
||||
elif deg == 1 and coef == 1:
|
||||
@ -120,12 +122,34 @@ class MOpolynomial(Molecule):
|
||||
:example:
|
||||
>>> p = MOpolynomial('x', [1, 2, 3])
|
||||
>>> p.monomials
|
||||
{<MOnumber 0>: <MOnumber 1>, <MOnumber 1>: <MOMonomial 2x>, <MOnumber 2>: <MOMonomial 3x^2>}
|
||||
OrderedDict([(<MOnumber 0>, <MOnumber 1>), (<MOnumber 1>, <MOMonomial 2x>), (<MOnumber 2>, <MOMonomial 3x^2>)])
|
||||
>>> p.monomials.values()
|
||||
dict_values([<MOnumber 1>, <MOMonomial 2x>, <MOMonomial 3x^2>])
|
||||
odict_values([<MOnumber 1>, <MOMonomial 2x>, <MOMonomial 3x^2>])
|
||||
"""
|
||||
return self._monomials
|
||||
|
||||
def differentiate(self):
|
||||
""" Differentiate a MOMonomial and get a tree
|
||||
|
||||
:example:
|
||||
>>> p = MOpolynomial('x', [1, 2, 3])
|
||||
>>> print(p)
|
||||
3x^2 + 2x + 1
|
||||
>>> print(p.differentiate())
|
||||
+
|
||||
> 0
|
||||
> +
|
||||
| > 2
|
||||
| > *
|
||||
| | > 3
|
||||
| | > *
|
||||
| | | > 2
|
||||
| | | > x
|
||||
|
||||
"""
|
||||
monomials_d = [m.differentiate() for m in self.monomials.values()]
|
||||
return Tree.from_list("+", monomials_d)
|
||||
|
||||
|
||||
# -----------------------------
|
||||
# Reglages pour 'vim'
|
||||
|
@ -70,7 +70,8 @@ def compute_capacities(node):
|
||||
op = OPERATIONS[node]
|
||||
lines = [[node] + [mo.__name__ for mo in MOS]]
|
||||
for left_mo in MOS:
|
||||
lines.append([left_mo.__name__] + [(left_mo, i) in op.funcs for i in MOS])
|
||||
lines.append([left_mo.__name__] +
|
||||
[(left_mo, i) in op.funcs for i in MOS])
|
||||
return lines
|
||||
|
||||
|
||||
|
@ -70,6 +70,9 @@ def monumber_monumber(left, right):
|
||||
>>> b = MOnumber(6)
|
||||
>>> add(a, b)
|
||||
<MOnumber 10>
|
||||
>>> b = MOnumber('2.3')
|
||||
>>> add(a, b)
|
||||
<MOnumber 6.3>
|
||||
|
||||
"""
|
||||
return MO.factory(left.value + right.value)
|
||||
|
@ -1,246 +0,0 @@
|
||||
#! /usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
# vim:fenc=utf-8
|
||||
#
|
||||
# Copyright © 2017 lafrite <lafrite@Poivre>
|
||||
#
|
||||
# Distributed under terms of the MIT license.
|
||||
|
||||
"""
|
||||
Tools to extract random leafs, random variables, generate random values and
|
||||
fill new trees
|
||||
|
||||
Flow
|
||||
----
|
||||
|
||||
Tree with RdLeaf
|
||||
|
|
||||
| Extract rdLeaf
|
||||
|
|
||||
List of leafs to generate
|
||||
|
|
||||
| extract_rv
|
||||
|
|
||||
List random variables to generate
|
||||
|
|
||||
| Generate
|
||||
|
|
||||
Dictionnary of generated random variables
|
||||
|
|
||||
| Compute leafs
|
||||
|
|
||||
Dictionnary of computed leafs
|
||||
|
|
||||
| Replace
|
||||
|
|
||||
Tree with RdLeaf replaced by generated values
|
||||
|
||||
:example:
|
||||
|
||||
>>> from ..tree import Tree
|
||||
>>> rd_t = Tree("/", RdLeaf("a"), RdLeaf("a*k"))
|
||||
>>> print(rd_t)
|
||||
/
|
||||
> {a}
|
||||
> {a*k}
|
||||
>>> leafs = extract_rdleaf(rd_t)
|
||||
>>> leafs
|
||||
['a', 'a*k']
|
||||
>>> rd_varia = extract_rv(leafs)
|
||||
>>> rd_varia # doctest: +SKIP
|
||||
{'a', 'k'}
|
||||
>>> generated = random_generator(rd_varia, conditions=['a%2+1'])
|
||||
>>> generated # doctest: +SKIP
|
||||
{'a': 7, 'k': 4}
|
||||
>>> computed = compute_leafs(leafs, generated)
|
||||
>>> computed # doctest: +SKIP
|
||||
{'a': 7, 'a*k': 28}
|
||||
>>> replaced = replace_rdleaf(rd_t, computed)
|
||||
>>> print(replaced) # doctest: +SKIP
|
||||
/
|
||||
> 7
|
||||
> 28
|
||||
|
||||
"""
|
||||
|
||||
from random import choice
|
||||
from functools import reduce
|
||||
from .leaf import RdLeaf
|
||||
|
||||
|
||||
def extract_rdleaf(tree):
|
||||
""" Extract rdLeaf in a Tree
|
||||
|
||||
:example:
|
||||
>>> from ..tree import Tree
|
||||
>>> rd_t = Tree("+", RdLeaf("a"), RdLeaf("a*k"))
|
||||
>>> extract_rdleaf(rd_t)
|
||||
['a', 'a*k']
|
||||
>>> rd_t = Tree("+", RdLeaf("a"), 2)
|
||||
>>> extract_rdleaf(rd_t)
|
||||
['a']
|
||||
"""
|
||||
rd_leafs = []
|
||||
for leaf in tree.get_leafs():
|
||||
try:
|
||||
leaf.rdleaf
|
||||
except AttributeError:
|
||||
pass
|
||||
else:
|
||||
rd_leafs.append(leaf.name)
|
||||
return rd_leafs
|
||||
|
||||
|
||||
def extract_rv(leafs):
|
||||
""" Extract the set of random values from the leaf list
|
||||
|
||||
:param leafs: list of leafs
|
||||
:return: set of random values
|
||||
|
||||
:example:
|
||||
>>> leafs = ["a", "a*k"]
|
||||
>>> extract_rv(leafs) == {'a', 'k'}
|
||||
True
|
||||
"""
|
||||
rd_values = set()
|
||||
for leaf in leafs:
|
||||
for c in leaf:
|
||||
if c.isalpha():
|
||||
rd_values.add(c)
|
||||
return rd_values
|
||||
|
||||
|
||||
def compute_leafs(leafs, generated_values):
|
||||
""" Compute leafs from generated random values
|
||||
|
||||
:param generated_values: Dictionnary of name:generated value
|
||||
:param leafs: list of leafs
|
||||
:return: Dictionnary of evaluated leafs from generated values
|
||||
|
||||
:example:
|
||||
>>> leafs = ["a", "a*k"]
|
||||
>>> generated_values = {"a":2, "k":3}
|
||||
>>> compute_leafs(leafs, generated_values)
|
||||
{'a': 2, 'a*k': 6}
|
||||
"""
|
||||
return {leaf: eval(leaf, generated_values) for leaf in leafs}
|
||||
|
||||
|
||||
def replace_rdleaf(tree, computed_leafs):
|
||||
""" Replace RdLeaf by the corresponding computed value
|
||||
|
||||
>>> from ..tree import Tree
|
||||
>>> rd_t = Tree("+", RdLeaf("a"), RdLeaf("a*k"))
|
||||
>>> computed_leafs = {'a': 2, 'a*k': 6}
|
||||
>>> print(replace_rdleaf(rd_t, computed_leafs))
|
||||
+
|
||||
> 2
|
||||
> 6
|
||||
"""
|
||||
|
||||
def replace(leaf):
|
||||
try:
|
||||
return leaf.replace(computed_leafs)
|
||||
except AttributeError:
|
||||
return leaf
|
||||
|
||||
return tree.map_on_leaf(replace)
|
||||
|
||||
|
||||
def random_generator(
|
||||
rd_variables, conditions=[], rejected=[0], min_max=(-10, 10), variables_scope={}
|
||||
):
|
||||
""" Generate random variables
|
||||
|
||||
:param rd_variables: list of random variables to generate
|
||||
:param conditions: condition over variables
|
||||
:param rejected: Rejected values for the generator (default [0])
|
||||
:param min_max: (min, max) limits in between variables will be generated
|
||||
:param variables_scope: rejected and min_max define for individual variables
|
||||
:return: dictionnary of generated variables
|
||||
|
||||
:example:
|
||||
>>> gene = random_generator(["a", "b"],
|
||||
... ["a > 0"],
|
||||
... [0], (-10, 10),
|
||||
... {"a": {"rejected": [0, 1]},
|
||||
... "b": {"min_max": (-5, 0)}})
|
||||
>>> gene["a"] > 0
|
||||
True
|
||||
>>> gene["a"] != 0
|
||||
True
|
||||
>>> gene["b"] < 0
|
||||
True
|
||||
>>> gene = random_generator(["a", "b"],
|
||||
... ["a % b == 0"],
|
||||
... [0, 1], (-10, 10))
|
||||
>>> gene["a"] not in [0, 1]
|
||||
True
|
||||
>>> gene["b"] in list(range(-10, 11))
|
||||
True
|
||||
>>> gene["a"] % gene["b"]
|
||||
0
|
||||
"""
|
||||
complete_scope = build_variable_scope(
|
||||
rd_variables, rejected, min_max, variables_scope
|
||||
)
|
||||
choices_list = {
|
||||
v: list(
|
||||
set(
|
||||
range(
|
||||
complete_scope[v]["min_max"][0], complete_scope[v]["min_max"][1] + 1
|
||||
)
|
||||
).difference(complete_scope[v]["rejected"])
|
||||
)
|
||||
for v in rd_variables
|
||||
}
|
||||
|
||||
# quantity_choices = reduce(lambda x,y : x*y,
|
||||
# [len(choices_list[v]) for v in choices_list])
|
||||
# TODO: améliorer la méthode de rejet avec un cache |dim. mai 12 17:04:11 CEST 2019
|
||||
|
||||
generate_variable = {v: choice(choices_list[v]) for v in rd_variables}
|
||||
|
||||
while not all([eval(c, __builtins__, generate_variable) for c in conditions]):
|
||||
generate_variable = {v: choice(choices_list[v]) for v in rd_variables}
|
||||
|
||||
return generate_variable
|
||||
|
||||
|
||||
def build_variable_scope(rd_variables, rejected, min_max, variables_scope):
|
||||
""" Build variables scope from incomplete one
|
||||
|
||||
:param rd_variables: list of random variables to generate
|
||||
:param rejected: Rejected values for the generator
|
||||
:param min_max: (min, max) limits in between variables will be generated
|
||||
:param variables_scope: rejected and min_max define for individual variables
|
||||
:return: complete variable scope
|
||||
|
||||
:example:
|
||||
>>> completed = build_variable_scope(["a", "b", "c", "d"], [0], (-10, 10),
|
||||
... {"a": {"rejected": [0, 1]},
|
||||
... "b": {"min_max": (-5, 0)},
|
||||
... "c": {"rejected": [2], "min_max": (0, 5)}})
|
||||
>>> complete = {'a': {'rejected': [0, 1], 'min_max': (-10, 10)},
|
||||
... 'b': {'rejected': [0], 'min_max': (-5, 0)},
|
||||
... 'c': {'rejected': [2], 'min_max': (0, 5)},
|
||||
... 'd': {'rejected': [0], 'min_max': (-10, 10)}}
|
||||
>>> completed == complete
|
||||
True
|
||||
"""
|
||||
complete_scope = variables_scope.copy()
|
||||
for v in rd_variables:
|
||||
try:
|
||||
complete_scope[v]
|
||||
except KeyError:
|
||||
complete_scope[v] = {"rejected": rejected, "min_max": min_max}
|
||||
else:
|
||||
try:
|
||||
complete_scope[v]["rejected"]
|
||||
except KeyError:
|
||||
complete_scope[v]["rejected"] = rejected
|
||||
try:
|
||||
complete_scope[v]["min_max"]
|
||||
except KeyError:
|
||||
complete_scope[v]["min_max"] = min_max
|
||||
return complete_scope
|
@ -10,7 +10,7 @@
|
||||
Tree renders
|
||||
"""
|
||||
|
||||
__all__ = ["tree2txt"]
|
||||
__all__ = ["tree2txt", "tree2tex"]
|
||||
|
||||
from .tree2txt import tree2txt
|
||||
from .tree2tex import tree2tex
|
||||
|
@ -91,9 +91,11 @@ def mul2tex(left, right):
|
||||
'- 3x'
|
||||
>>> mul2tex(a, a)
|
||||
'x \\times x'
|
||||
>>> mul2tex(a, MO.factory(-3))
|
||||
'x(- 3)'
|
||||
"""
|
||||
left_ = render_with_parenthesis(left, "*")
|
||||
right_ = render_with_parenthesis(right, "*")
|
||||
right_ = render_with_parenthesis(right, "*", is_at_right=True)
|
||||
|
||||
display_time = True
|
||||
# if (right_[0].isalpha() and (left_.isnumeric() or left_.isdecimal())) or right_[
|
||||
@ -117,17 +119,17 @@ def div2tex(left, right):
|
||||
|
||||
>>> from ..MO import MO
|
||||
>>> div2tex(MO.factory(2), MO.factory(3))
|
||||
'\\frac{2}{3}'
|
||||
'\\dfrac{2}{3}'
|
||||
>>> from ..tree import Tree
|
||||
>>> t = Tree.from_str("1/2")
|
||||
>>> div2tex(t, MO.factory(3))
|
||||
'\\frac{\\frac{1}{2}}{3}'
|
||||
'\\dfrac{\\dfrac{1}{2}}{3}'
|
||||
>>> t = Tree.from_str("1+2")
|
||||
>>> div2tex(t, MO.factory(3))
|
||||
'\\frac{1 + 2}{3}'
|
||||
'\\dfrac{1 + 2}{3}'
|
||||
>>> t = Tree.from_str("1*2")
|
||||
>>> div2tex(MO.factory(3), t)
|
||||
'\\frac{3}{1 \\times 2}'
|
||||
'\\dfrac{3}{1 \\times 2}'
|
||||
"""
|
||||
try:
|
||||
left_ = tree2tex(left)
|
||||
@ -138,7 +140,7 @@ def div2tex(left, right):
|
||||
except (AttributeError, ValueError):
|
||||
right_ = right.__tex__
|
||||
|
||||
return "\\frac{" + left_ + "}{" + right_ + "}"
|
||||
return "\\dfrac{" + left_ + "}{" + right_ + "}"
|
||||
|
||||
|
||||
def pow2tex(left, right):
|
||||
@ -183,20 +185,17 @@ def pow2tex(left, right):
|
||||
return f"{left_}^{{{right_}}}"
|
||||
|
||||
|
||||
def render_with_parenthesis(subtree, operator):
|
||||
def render_with_parenthesis(subtree, operator, is_at_right=False):
|
||||
subtree_need_parenthesis = False
|
||||
try:
|
||||
subtree.node
|
||||
except AttributeError:
|
||||
try:
|
||||
if (
|
||||
OPERATORS[subtree.MAINOP]["precedence"]
|
||||
< OPERATORS[operator]["precedence"]
|
||||
):
|
||||
subtree_need_parenthesis = True
|
||||
except (AttributeError, KeyError):
|
||||
pass
|
||||
subtree_ = subtree.__tex__
|
||||
except AttributeError:
|
||||
subtree_ = str(subtree)
|
||||
if subtree_.startswith("-") and OPERATORS["-"]["precedence"] < OPERATORS[operator]["precedence"] and is_at_right:
|
||||
subtree_need_parenthesis = True
|
||||
else:
|
||||
if OPERATORS[subtree.node]["precedence"] < OPERATORS[operator]["precedence"]:
|
||||
subtree_need_parenthesis = True
|
||||
@ -207,7 +206,8 @@ def render_with_parenthesis(subtree, operator):
|
||||
return subtree_
|
||||
|
||||
|
||||
OPERATOR2TEX = {"+": plus2tex, "-": minus2tex, "*": mul2tex, "/": div2tex, "^": pow2tex}
|
||||
OPERATOR2TEX = {"+": plus2tex, "-": minus2tex,
|
||||
"*": mul2tex, "/": div2tex, "^": pow2tex}
|
||||
|
||||
|
||||
def tree2tex(tree):
|
||||
@ -227,8 +227,17 @@ def tree2tex(tree):
|
||||
from ..tree import Tree
|
||||
|
||||
if not isinstance(tree, Tree):
|
||||
raise ValueError(f"Can only render a Tree (got {type(tree).__name__}: {tree})")
|
||||
return OPERATOR2TEX[tree.node](tree.left_value, tree.right_value)
|
||||
raise ValueError(
|
||||
f"Can only render a Tree (got {type(tree).__name__}: {tree})")
|
||||
|
||||
def expand(leaf):
|
||||
try:
|
||||
return leaf.tree
|
||||
except AttributeError:
|
||||
return leaf
|
||||
expanded_tree = tree.map_on_leaf(expand)
|
||||
|
||||
return OPERATOR2TEX[expanded_tree.node](expanded_tree.left_value, expanded_tree.right_value)
|
||||
|
||||
|
||||
# -----------------------------
|
||||
|
@ -91,11 +91,13 @@ def mul2txt(left, right):
|
||||
'- 3x'
|
||||
>>> mul2txt(a, a)
|
||||
'x * x'
|
||||
>>> mul2txt(a, MO.factory(-3))
|
||||
'x(- 3)'
|
||||
"""
|
||||
display_time = True
|
||||
|
||||
left_ = render_with_parenthesis(left, "*")
|
||||
right_ = render_with_parenthesis(right, "*")
|
||||
right_ = render_with_parenthesis(right, "*", is_at_right=True)
|
||||
|
||||
if right_[0].isalpha():
|
||||
# TODO: C'est bien beurk en dessous... |ven. déc. 21 12:03:07 CET 2018
|
||||
@ -187,20 +189,22 @@ def pow2txt(left, right):
|
||||
return f"{left_}^{right_}"
|
||||
|
||||
|
||||
def render_with_parenthesis(subtree, operator):
|
||||
def tree_with_parenthesis(subtree, operator):
|
||||
""" Assuming the subtree is a tree, then have .node """
|
||||
pass
|
||||
|
||||
|
||||
def render_with_parenthesis(subtree, operator, is_at_right=False):
|
||||
subtree_need_parenthesis = False
|
||||
try:
|
||||
subtree.node
|
||||
except AttributeError:
|
||||
try:
|
||||
if (
|
||||
OPERATORS[subtree.MAINOP]["precedence"]
|
||||
< OPERATORS[operator]["precedence"]
|
||||
):
|
||||
subtree_need_parenthesis = True
|
||||
except (AttributeError, KeyError):
|
||||
pass
|
||||
subtree_ = subtree.__txt__
|
||||
except AttributeError:
|
||||
subtree_ = str(subtree)
|
||||
if subtree_.startswith("-") and OPERATORS["-"]["precedence"] < OPERATORS[operator]["precedence"] and is_at_right:
|
||||
subtree_need_parenthesis = True
|
||||
else:
|
||||
if OPERATORS[subtree.node]["precedence"] < OPERATORS[operator]["precedence"]:
|
||||
subtree_need_parenthesis = True
|
||||
@ -211,7 +215,8 @@ def render_with_parenthesis(subtree, operator):
|
||||
return subtree_
|
||||
|
||||
|
||||
OPERATOR2TXT = {"+": plus2txt, "-": minus2txt, "*": mul2txt, "/": div2txt, "^": pow2txt}
|
||||
OPERATOR2TXT = {"+": plus2txt, "-": minus2txt,
|
||||
"*": mul2txt, "/": div2txt, "^": pow2txt}
|
||||
|
||||
|
||||
def tree2txt(tree):
|
||||
@ -231,8 +236,17 @@ def tree2txt(tree):
|
||||
from ..tree import Tree
|
||||
|
||||
if not isinstance(tree, Tree):
|
||||
raise ValueError(f"Can only render a Tree (got {type(tree).__name__}: {tree})")
|
||||
return OPERATOR2TXT[tree.node](tree.left_value, tree.right_value)
|
||||
raise ValueError(
|
||||
f"Can only render a Tree (got {type(tree).__name__}: {tree})")
|
||||
|
||||
def expand(leaf):
|
||||
try:
|
||||
return leaf.tree
|
||||
except AttributeError:
|
||||
return leaf
|
||||
expanded_tree = tree.map_on_leaf(expand)
|
||||
|
||||
return OPERATOR2TXT[expanded_tree.node](expanded_tree.left_value, expanded_tree.right_value)
|
||||
|
||||
|
||||
# -----------------------------
|
||||
|
@ -15,7 +15,6 @@ from decimal import Decimal, InvalidOperation
|
||||
from .coroutine import *
|
||||
from .operator import is_operator
|
||||
from .MO import moify_cor
|
||||
from .random.leaf import look_for_rdleaf
|
||||
|
||||
__all__ = ["str2"]
|
||||
|
||||
@ -395,9 +394,7 @@ def missing_times(target):
|
||||
elif not is_operator(tok) and tok != ")":
|
||||
target_.send("*")
|
||||
|
||||
if isinstance(tok, int) or (
|
||||
isinstance(tok, str) and not is_operator(tok) and not tok == "("
|
||||
):
|
||||
if not ( is_operator(tok) or tok =="(" ):
|
||||
previous = tok
|
||||
|
||||
target_.send(tok)
|
||||
@ -482,7 +479,8 @@ def lookforNumbers(target):
|
||||
if current.replace("-", "", 1).isdigit():
|
||||
current += tok
|
||||
else:
|
||||
raise ParsingError(f"Can't build decimal with '{current}'")
|
||||
raise ParsingError(
|
||||
f"Can't build decimal with '{current}'")
|
||||
elif tok == "-":
|
||||
if current == "":
|
||||
current = tok
|
||||
@ -800,7 +798,8 @@ def str2(sink, convert_to_mo=True):
|
||||
operator_corout(missing_times(moify_cor(pparser(sink))))
|
||||
)
|
||||
else:
|
||||
str2_corout = lookforNumbers(operator_corout(missing_times(pparser(sink))))
|
||||
str2_corout = lookforNumbers(
|
||||
operator_corout(missing_times(pparser(sink))))
|
||||
|
||||
for i in expression.replace(" ", ""):
|
||||
str2_corout.send(i)
|
||||
@ -810,60 +809,7 @@ def str2(sink, convert_to_mo=True):
|
||||
|
||||
return pipeline
|
||||
|
||||
|
||||
def rdstr2(sink):
|
||||
""" Return a pipeline which parse random expression and with sink as endpoint
|
||||
|
||||
:example:
|
||||
>>> rdstr2list = rdstr2(list_sink)
|
||||
>>> rdstr2list("{a}+{a*b}-2")
|
||||
[<RdLeaf a>, '+', <RdLeaf a*b>, '+', <MOnumber - 2>]
|
||||
"""
|
||||
lfop = lookfor(is_operator)
|
||||
operator_corout = partial(concurent_broadcast, lookfors=[lfop])
|
||||
|
||||
def pipeline(expression):
|
||||
str2_corout = look_for_rdleaf(
|
||||
lookforNumbers(operator_corout(missing_times(moify_cor(pparser(sink)))))
|
||||
)
|
||||
|
||||
for i in expression.replace(" ", ""):
|
||||
str2_corout.send(i)
|
||||
a = str2_corout.throw(STOOOP)
|
||||
|
||||
return a
|
||||
|
||||
return pipeline
|
||||
|
||||
|
||||
def rdstr2(sink):
|
||||
""" Return a pipeline which parse random expression and with sink as endpoint
|
||||
|
||||
:example:
|
||||
>>> rdstr2list = rdstr2(list_sink)
|
||||
>>> rdstr2list("{a}+{a*b}-2")
|
||||
[<RdLeaf a>, '+', <RdLeaf a*b>, '+', <MOnumber - 2>]
|
||||
"""
|
||||
lfop = lookfor(is_operator)
|
||||
operator_corout = partial(concurent_broadcast, lookfors=[lfop])
|
||||
|
||||
def pipeline(expression):
|
||||
str2_corout = look_for_rdleaf(
|
||||
lookforNumbers(operator_corout(missing_times(moify_cor(pparser(sink)))))
|
||||
)
|
||||
|
||||
for i in expression.replace(" ", ""):
|
||||
str2_corout.send(i)
|
||||
a = str2_corout.throw(STOOOP)
|
||||
|
||||
return a
|
||||
|
||||
return pipeline
|
||||
|
||||
|
||||
str2nestedlist = str2(list_sink)
|
||||
|
||||
|
||||
# -----------------------------
|
||||
# Reglages pour 'vim'
|
||||
# vim:set autoindent expandtab tabstop=4 shiftwidth=4:
|
||||
|
@ -11,7 +11,7 @@ Tree class
|
||||
|
||||
from .tree_tools import to_nested_parenthesis, postfix_concatenate, show_tree
|
||||
from .coroutine import coroutine, STOOOP
|
||||
from .str2 import str2, rdstr2
|
||||
from .str2 import str2
|
||||
from .operator import OPERATORS, is_operator
|
||||
|
||||
__all__ = ["Tree", "MutableTree"]
|
||||
@ -51,7 +51,7 @@ class Tree:
|
||||
self.right_value = right_value
|
||||
|
||||
@classmethod
|
||||
def from_str(cls, expression, convert_to_mo=True, random=False):
|
||||
def from_str(cls, expression, convert_to_mo=True):
|
||||
""" Initiate a tree from an string expression
|
||||
|
||||
:example:
|
||||
@ -77,17 +77,8 @@ class Tree:
|
||||
> *
|
||||
| > 3
|
||||
| > n
|
||||
>>> t = Tree.from_str("2+{n}*x", random=True)
|
||||
>>> print(t)
|
||||
+
|
||||
> 2
|
||||
> *
|
||||
| > {n}
|
||||
| > x
|
||||
|
||||
|
||||
"""
|
||||
t = MutableTree.from_str(expression, convert_to_mo, random)
|
||||
t = MutableTree.from_str(expression, convert_to_mo)
|
||||
return cls.from_any_tree(t)
|
||||
|
||||
@classmethod
|
||||
@ -898,7 +889,7 @@ class MutableTree(Tree):
|
||||
self.right_value = right_value
|
||||
|
||||
@classmethod
|
||||
def from_str(cls, expression, convert_to_mo=True, random=False):
|
||||
def from_str(cls, expression, convert_to_mo=True):
|
||||
""" Initiate the MutableTree
|
||||
|
||||
:example:
|
||||
@ -954,12 +945,7 @@ class MutableTree(Tree):
|
||||
| | > 8
|
||||
| | > 3
|
||||
| > x
|
||||
|
||||
"""
|
||||
if random:
|
||||
str_2_mut_tree = rdstr2(cls.sink)
|
||||
return str_2_mut_tree(expression)
|
||||
else:
|
||||
str_2_mut_tree = str2(cls.sink, convert_to_mo)
|
||||
return str_2_mut_tree(expression)
|
||||
|
||||
|
@ -95,10 +95,10 @@ def moscalar_momonomial(left, right):
|
||||
>>> a = MOnumber(2)
|
||||
>>> b = MOMonomial(3, 'x', 4)
|
||||
>>> add(a, b)
|
||||
<MOpolynomial 2 + 3x^4>
|
||||
<MOpolynomial 3x^4 + 2>
|
||||
>>> a = MOFraction(1, 5)
|
||||
>>> add(a, b)
|
||||
<MOpolynomial 1 / 5 + 3x^4>
|
||||
<MOpolynomial 3x^4 + 1 / 5>
|
||||
"""
|
||||
return MOpolynomial(right.variable, {right.power: right.coefficient, 0: left})
|
||||
|
||||
@ -126,10 +126,10 @@ def moscalar_mopolynomial(left, right):
|
||||
>>> a = MOnumber(2)
|
||||
>>> b = MOpolynomial('x', [0, 2, 3])
|
||||
>>> add(a, b)
|
||||
<MOpolynomial 2 + 3x^2 + 2x>
|
||||
<MOpolynomial 3x^2 + 2x + 2>
|
||||
>>> a = MOFraction(1, 5)
|
||||
>>> add(a, b)
|
||||
<MOpolynomial 1 / 5 + 3x^2 + 2x>
|
||||
<MOpolynomial 3x^2 + 2x + 1 / 5>
|
||||
"""
|
||||
if 0 in right.coefficients.keys():
|
||||
raise NotImplementedError(
|
||||
@ -237,7 +237,7 @@ def mostr_mopolynomial(left, right):
|
||||
>>> a = MOstr("x")
|
||||
>>> b = MOpolynomial('x', [1, 0, 3])
|
||||
>>> add(a, b)
|
||||
<MOpolynomial x + 3x^2 + 1>
|
||||
<MOpolynomial 3x^2 + x + 1>
|
||||
"""
|
||||
if 1 in right.coefficients.keys():
|
||||
raise NotImplementedError("Polynomial with no constant, calculus to do")
|
||||
@ -255,7 +255,7 @@ def mopolynomial_mostr(left, right):
|
||||
>>> a = MOpolynomial('x', [1, 0, 3])
|
||||
>>> b = MOstr("x")
|
||||
>>> add(a, b)
|
||||
<MOpolynomial 3x^2 + 1 + x>
|
||||
<MOpolynomial 3x^2 + x + 1>
|
||||
"""
|
||||
if 1 in left.coefficients.keys():
|
||||
raise NotImplementedError("Polynomial with no constant, calculus to do")
|
||||
@ -272,7 +272,7 @@ def mostrpower_mopolynomial(left, right):
|
||||
>>> a = MOstrPower("x", 2)
|
||||
>>> b = MOpolynomial('x', [1, 2, 0, 4])
|
||||
>>> add(a, b)
|
||||
<MOpolynomial x^2 + 4x^3 + 2x + 1>
|
||||
<MOpolynomial 4x^3 + x^2 + 2x + 1>
|
||||
"""
|
||||
if left.power in right.coefficients.keys():
|
||||
raise NotImplementedError("Degree in common, need to compute")
|
||||
@ -290,7 +290,7 @@ def mopolynomial_mostrpower(left, right):
|
||||
>>> a = MOpolynomial('x', [1, 2, 0, 4])
|
||||
>>> b = MOstrPower("x", 2)
|
||||
>>> add(a, b)
|
||||
<MOpolynomial 4x^3 + 2x + 1 + x^2>
|
||||
<MOpolynomial 4x^3 + x^2 + 2x + 1>
|
||||
"""
|
||||
if right.power in left.coefficients.keys():
|
||||
raise NotImplementedError("Degree in common, need to compute")
|
||||
@ -307,7 +307,7 @@ def momonomial_mopolynomial(left, right):
|
||||
>>> a = MOMonomial(3, "x", 2)
|
||||
>>> b = MOpolynomial('x', [1, 2, 0, 4])
|
||||
>>> add(a, b)
|
||||
<MOpolynomial 3x^2 + 4x^3 + 2x + 1>
|
||||
<MOpolynomial 4x^3 + 3x^2 + 2x + 1>
|
||||
"""
|
||||
if left.power in right.coefficients.keys():
|
||||
raise NotImplementedError("Degree in common, need to compute")
|
||||
@ -325,7 +325,7 @@ def mopolynomial_momonomial(left, right):
|
||||
>>> a = MOpolynomial('x', [1, 2, 0, 4])
|
||||
>>> b = MOMonomial(3, "x", 2)
|
||||
>>> add(a, b)
|
||||
<MOpolynomial 4x^3 + 2x + 1 + 3x^2>
|
||||
<MOpolynomial 4x^3 + 3x^2 + 2x + 1>
|
||||
"""
|
||||
if right.power in left.coefficients.keys():
|
||||
raise NotImplementedError("Degree in common, need to compute")
|
||||
@ -342,9 +342,9 @@ def mopolynomial_mopolynomial(left, right):
|
||||
>>> a = MOpolynomial('x', [1, 0, 3])
|
||||
>>> b = MOpolynomial('x', [0, 2, 0, 4])
|
||||
>>> add(a, b)
|
||||
<MOpolynomial 3x^2 + 1 + 4x^3 + 2x>
|
||||
<MOpolynomial 4x^3 + 3x^2 + 2x + 1>
|
||||
>>> add(b, a)
|
||||
<MOpolynomial 4x^3 + 2x + 3x^2 + 1>
|
||||
<MOpolynomial 4x^3 + 3x^2 + 2x + 1>
|
||||
"""
|
||||
common_degree = set(left.monomials.keys()).intersection(right.monomials.keys())
|
||||
if common_degree:
|
||||
@ -361,7 +361,7 @@ def mostr_monomial(left, right):
|
||||
>>> a = MOstr('x')
|
||||
>>> b = MOMonomial(3, 'x', 4)
|
||||
>>> add(a, b)
|
||||
<MOpolynomial x + 3x^4>
|
||||
<MOpolynomial 3x^4 + x>
|
||||
"""
|
||||
if right.power == 1:
|
||||
raise NotImplementedError("Monomial is deg 1, need to compute")
|
||||
@ -391,7 +391,7 @@ def mostrpower_monomial(left, right):
|
||||
>>> a = MOstrPower('x', 2)
|
||||
>>> b = MOMonomial(3, 'x', 4)
|
||||
>>> add(a, b)
|
||||
<MOpolynomial x^2 + 3x^4>
|
||||
<MOpolynomial 3x^4 + x^2>
|
||||
"""
|
||||
if left.power == right.power:
|
||||
raise NotImplementedError(
|
||||
|
@ -15,6 +15,7 @@ from ..tree import Tree
|
||||
from ..MO import MO, MOnumber, MOstr
|
||||
from ..MO.fraction import MOFraction
|
||||
from ..MO.monomial import MOstrPower, MOMonomial
|
||||
from ..compute.filters import special_case
|
||||
|
||||
multiply_doc = """ Multiply MOs
|
||||
|
||||
@ -27,7 +28,38 @@ multiply_doc = """ Multiply MOs
|
||||
multiply = Dispatcher("multiply", doc=multiply_doc)
|
||||
|
||||
|
||||
def multiply_filter(left, right):
|
||||
""" Automatic multiply on MO
|
||||
|
||||
:param left: MO
|
||||
:param right: MO
|
||||
:returns: MO if it is a special case, nothing other wise
|
||||
"""
|
||||
try:
|
||||
if left == 0:
|
||||
return left
|
||||
except TypeError:
|
||||
pass
|
||||
try:
|
||||
if right == 0:
|
||||
return right
|
||||
except TypeError:
|
||||
pass
|
||||
|
||||
try:
|
||||
if left == 1:
|
||||
return right
|
||||
except TypeError:
|
||||
pass
|
||||
try:
|
||||
if right == 1:
|
||||
return left
|
||||
except TypeError:
|
||||
pass
|
||||
|
||||
|
||||
@multiply.register((MOnumber, MOFraction), MOstr)
|
||||
@special_case(multiply_filter)
|
||||
def moscalar_mostr(left, right):
|
||||
""" Multiply a scalar with a letter to create a MOMonomial
|
||||
|
||||
@ -43,6 +75,7 @@ def moscalar_mostr(left, right):
|
||||
|
||||
|
||||
@multiply.register(MOstr, (MOnumber, MOFraction))
|
||||
@special_case(multiply_filter)
|
||||
def mostr_moscalar(left, right):
|
||||
""" Multiply a scalar with a letter to create a MOMonomial
|
||||
|
||||
@ -58,6 +91,7 @@ def mostr_moscalar(left, right):
|
||||
|
||||
|
||||
@multiply.register((MOnumber, MOFraction), MOstrPower)
|
||||
@special_case(multiply_filter)
|
||||
def moscalar_mostrpower(left, right):
|
||||
""" Multiply a scalar with a MOstrPower
|
||||
|
||||
@ -65,12 +99,18 @@ def moscalar_mostrpower(left, right):
|
||||
>>> x = MOstrPower('x', 4)
|
||||
>>> multiply(a, x)
|
||||
<MOMonomial 4x^4>
|
||||
|
||||
>>> a = MOnumber(1)
|
||||
>>> x = MOstrPower('x', 4)
|
||||
>>> multiply(a, x)
|
||||
<MOstrPower x^4>
|
||||
"""
|
||||
# if left == 1:
|
||||
# return right
|
||||
return MOMonomial(left, right)
|
||||
|
||||
|
||||
@multiply.register(MOstrPower, (MOnumber, MOFraction))
|
||||
@special_case(multiply_filter)
|
||||
def mostrpower_moscalar(left, right):
|
||||
""" Multiply a MOstrPower with a scalar
|
||||
|
||||
|
19
mapytex/calculus/random/__init__.py
Normal file
19
mapytex/calculus/random/__init__.py
Normal file
@ -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
|
||||
"""
|
65
mapytex/calculus/random/core/__init__.py
Normal file
65
mapytex/calculus/random/core/__init__.py
Normal file
@ -0,0 +1,65 @@
|
||||
#! /usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
# vim:fenc=utf-8
|
||||
#
|
||||
# Copyright © 2017 lafrite <lafrite@Poivre>
|
||||
#
|
||||
# Distributed under terms of the MIT license.
|
||||
|
||||
"""
|
||||
Tools to extract random leaves, random variables, generate random values and
|
||||
fill new trees
|
||||
|
||||
Flow
|
||||
----
|
||||
|
||||
Tree with RdLeaf
|
||||
|
|
||||
| Extract rdLeaf
|
||||
|
|
||||
List of leaves to generate
|
||||
|
|
||||
| extract_rv
|
||||
|
|
||||
List random variables to generate
|
||||
|
|
||||
| Generate
|
||||
|
|
||||
Dictionnary of generated random variables
|
||||
|
|
||||
| Compute leaves
|
||||
|
|
||||
Dictionnary of computed leaves
|
||||
|
|
||||
| Replace
|
||||
|
|
||||
Tree with RdLeaf replaced by generated values
|
||||
|
||||
:example:
|
||||
|
||||
>>> from .random_tree import RandomTree
|
||||
>>> from .leaf import RdLeaf
|
||||
>>> from .generate import random_generator
|
||||
>>> from .grammar import extract_letters, eval_words
|
||||
>>> rd_t = RandomTree("/", RdLeaf("a"), RdLeaf("a*k"))
|
||||
>>> print(rd_t)
|
||||
/
|
||||
> {a}
|
||||
> {a*k}
|
||||
>>> leaves = rd_t.random_leaves
|
||||
>>> leaves = ['a', 'a*k']
|
||||
>>> rd_varia = extract_letters(leaves)
|
||||
>>> sorted(list(rd_varia))
|
||||
['a', 'k']
|
||||
>>> generated = random_generator(rd_varia, conditions=['a%2+1'], global_config={"min_max": (-10, 10), "rejected":[0, 1]})
|
||||
>>> generated # doctest: +SKIP
|
||||
{'a': 7, 'k': 4}
|
||||
>>> computed = eval_words(leaves, generated)
|
||||
>>> computed # doctest: +SKIP
|
||||
{'a': 7, 'a*k': 28}
|
||||
>>> replaced = rd_t.eval_random_leaves(computed)
|
||||
>>> print(replaced) # doctest: +SKIP
|
||||
/
|
||||
> 7
|
||||
> 28
|
||||
"""
|
116
mapytex/calculus/random/core/generate.py
Normal file
116
mapytex/calculus/random/core/generate.py
Normal file
@ -0,0 +1,116 @@
|
||||
#! /usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
# vim:fenc=utf-8
|
||||
#
|
||||
# Copyright © 2017 lafrite <lafrite@Poivre>
|
||||
#
|
||||
# Distributed under terms of the MIT license.
|
||||
|
||||
|
||||
from random import choice
|
||||
import math
|
||||
|
||||
EVAL_FUN = {**math.__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
|
||||
:param global_config: global parameters
|
||||
:param configs: global parameters
|
||||
:return: complete variable scope
|
||||
|
||||
:example:
|
||||
>>> completed = complete_variable_configs(["a", "b", "c", "d"],
|
||||
... global_config={"rejected": [], "min_max": (-10, 10)},
|
||||
... configs={
|
||||
... "a": {"rejected": [0, 1]},
|
||||
... "b": {"min_max": (-5, 0)},
|
||||
... "c": {"rejected": [2], "min_max": (0, 5)}
|
||||
... })
|
||||
>>> completed["a"] == {'rejected': [0, 1], 'min_max': (-10, 10)}
|
||||
True
|
||||
>>> completed["b"] == {'rejected': [], 'min_max': (-5, 0)}
|
||||
True
|
||||
>>> completed['c'] == {'rejected': [2], 'min_max': (0, 5)}
|
||||
True
|
||||
>>> completed['d'] == {'rejected': [], 'min_max': (-10, 10)}
|
||||
True
|
||||
"""
|
||||
complete_configs = configs.copy()
|
||||
for variable in variables:
|
||||
try:
|
||||
complete_configs[variable]
|
||||
except KeyError:
|
||||
complete_configs[variable] = global_config
|
||||
else:
|
||||
complete_configs[variable] = dict(global_config, **configs[variable])
|
||||
return complete_configs
|
||||
|
||||
|
||||
def random_generator(
|
||||
variables: list[str],
|
||||
conditions: list[str] = [],
|
||||
global_config: dict = {},
|
||||
configs: dict = {},
|
||||
) -> dict[str, int]:
|
||||
"""Generate random variables
|
||||
|
||||
:param variables: list of random variables to generate
|
||||
:param conditions: condition over variables
|
||||
:param global_config: global parameters
|
||||
: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"],
|
||||
... {"rejected": [0], "min_max":(-10, 10)},
|
||||
... {"a": {"rejected": [0, 1]},
|
||||
... "b": {"min_max": (-5, 0)},
|
||||
... })
|
||||
>>> gene["a"] > 0
|
||||
True
|
||||
>>> gene["a"] != 0
|
||||
True
|
||||
>>> gene["b"] < 0
|
||||
True
|
||||
>>> gene = random_generator(["a", "b"],
|
||||
... ["a % b == 0"],
|
||||
... {"rejected": [0, 1], "min_max":(-10, 10)}
|
||||
... )
|
||||
>>> gene["a"] not in [0, 1]
|
||||
True
|
||||
>>> gene["b"] in list(range(-10, 11))
|
||||
True
|
||||
>>> gene["a"] % gene["b"]
|
||||
0
|
||||
"""
|
||||
complete_scope = complete_variable_configs(variables, global_config, configs)
|
||||
choices_list = {
|
||||
v: list(
|
||||
set(
|
||||
range(
|
||||
complete_scope[v]["min_max"][0], complete_scope[v]["min_max"][1] + 1
|
||||
)
|
||||
).difference(complete_scope[v]["rejected"])
|
||||
)
|
||||
for v in variables
|
||||
}
|
||||
|
||||
# quantity_choices = reduce(lambda x,y : x*y,
|
||||
# [len(choices_list[v]) for v in choices_list])
|
||||
# TODO: améliorer la méthode de rejet avec un cache |dim. mai 12 17:04:11 CEST 2019
|
||||
|
||||
generate_variable = {v: choice(choices_list[v]) for v in variables}
|
||||
|
||||
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
|
43
mapytex/calculus/random/core/grammar.py
Normal file
43
mapytex/calculus/random/core/grammar.py
Normal file
@ -0,0 +1,43 @@
|
||||
import math
|
||||
|
||||
EVAL_FUN = {**math.__dict__}
|
||||
|
||||
def extract_letters(words: list[str]) -> set[str]:
|
||||
"""Extracts unique letters from a list of words
|
||||
|
||||
:param words: list of leafs
|
||||
:return: set of letters
|
||||
|
||||
:example:
|
||||
>>> leafs = ["a", "a*k"]
|
||||
>>> extract_letters(leafs) == {'a', 'k'}
|
||||
True
|
||||
"""
|
||||
letters = set()
|
||||
for word in words:
|
||||
for c in word:
|
||||
if c.isalpha():
|
||||
letters.add(c)
|
||||
return letters
|
||||
|
||||
|
||||
def eval_words(words: list[str], values: dict[str, int]) -> dict[str, int]:
|
||||
"""Evaluate words replacing letters with values
|
||||
|
||||
:param words: list of words
|
||||
: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, EVAL_FUN, values) for word in words}
|
@ -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
|
||||
|
@ -9,7 +9,7 @@
|
||||
"""
|
||||
|
||||
"""
|
||||
from ..coroutine import *
|
||||
from ...core.coroutine import coroutine, STOOOP
|
||||
|
||||
|
||||
@coroutine
|
||||
@ -17,7 +17,7 @@ def look_for_rdleaf(target):
|
||||
"""Coroutine which look to "{...}" which are RdLeaf
|
||||
|
||||
:example:
|
||||
>>> from ..str2 import list_sink
|
||||
>>> from ...core.str2 import list_sink
|
||||
>>> str2list = look_for_rdleaf(list_sink)
|
||||
>>> for i in "{a}+{a*b}-2":
|
||||
... str2list.send(i)
|
||||
@ -53,9 +53,7 @@ def look_for_rdleaf(target):
|
||||
|
||||
|
||||
class RdLeaf:
|
||||
""" Random leaf
|
||||
|
||||
"""
|
||||
"""Random leaf"""
|
||||
|
||||
def __init__(self, name):
|
||||
self._name = name
|
118
mapytex/calculus/random/core/random_tree.py
Normal file
118
mapytex/calculus/random/core/random_tree.py
Normal file
@ -0,0 +1,118 @@
|
||||
from ...core.tree import MutableTree, Tree
|
||||
from ...core.MO import moify
|
||||
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
|
||||
|
||||
:example:
|
||||
>>> t = RandomTree()
|
||||
>>> type(t)
|
||||
<class 'mapytex.calculus.random.core.random_tree.RandomTree'>
|
||||
"""
|
||||
|
||||
@classmethod
|
||||
def from_str(cls, expression):
|
||||
"""Initiate a random tree from a string that need to be parsed
|
||||
|
||||
:exemple:
|
||||
>>> t = RandomTree.from_str("{b}*x+{c}")
|
||||
>>> print(t)
|
||||
+
|
||||
> *
|
||||
| > {b}
|
||||
| > x
|
||||
> {c}
|
||||
>>> t = RandomTree.from_str("{a}*({b}*x+{c})")
|
||||
>>> print(t)
|
||||
*
|
||||
> {a}
|
||||
> +
|
||||
| > *
|
||||
| | > {b}
|
||||
| | > x
|
||||
| > {c}
|
||||
"""
|
||||
str_2_mut_tree = rdstr2(cls.sink)
|
||||
return str_2_mut_tree(expression)
|
||||
|
||||
@property
|
||||
def random_leaves(self) -> list[str]:
|
||||
"""Get list of random leaves
|
||||
|
||||
:example:
|
||||
>>> from .leaf import RdLeaf
|
||||
>>> random_tree = RandomTree("+", RdLeaf("a"), RdLeaf("a*k"))
|
||||
>>> random_tree.random_leaves
|
||||
['a', 'a*k']
|
||||
>>> random_tree = RandomTree("+", RdLeaf("a"), 2)
|
||||
>>> random_tree.random_leaves
|
||||
['a']
|
||||
"""
|
||||
rd_leafs = []
|
||||
for leaf in self.get_leafs():
|
||||
try:
|
||||
leaf.rdleaf
|
||||
except AttributeError:
|
||||
pass
|
||||
else:
|
||||
rd_leafs.append(leaf.name)
|
||||
return rd_leafs
|
||||
|
||||
@property
|
||||
def random_value(self) -> set[str]:
|
||||
"""Get set of random values to generate
|
||||
|
||||
:example:
|
||||
>>> from .leaf import RdLeaf
|
||||
>>> random_tree = RandomTree("+", RdLeaf("a"), RdLeaf("a*k"))
|
||||
>>> random_tree.random_value == {'a', 'k'}
|
||||
True
|
||||
>>> random_tree = RandomTree("+", RdLeaf("a"), 2)
|
||||
>>> random_tree.random_value
|
||||
{'a'}
|
||||
"""
|
||||
return extract_letters(self.random_leaves)
|
||||
|
||||
def eval_random_leaves(self, leaves_value: dict[str, int]):
|
||||
"""Given random leaves value get the tree
|
||||
|
||||
:example:
|
||||
>>> from .leaf import RdLeaf
|
||||
>>> rd_t = RandomTree("+", RdLeaf("a"), RdLeaf("a*k"))
|
||||
>>> leaves_values = {'a': 2, 'a*k': 6}
|
||||
>>> t = rd_t.eval_random_leaves(leaves_values)
|
||||
>>> type(t)
|
||||
<class 'mapytex.calculus.core.tree.Tree'>
|
||||
>>> print(t)
|
||||
+
|
||||
> 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:
|
||||
"""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
|
||||
)
|
||||
leaves = eval_words(self.random_leaves, generated_values)
|
||||
return self.eval_random_leaves(leaves)
|
40
mapytex/calculus/random/core/str2.py
Normal file
40
mapytex/calculus/random/core/str2.py
Normal file
@ -0,0 +1,40 @@
|
||||
from ...core.operator import is_operator
|
||||
from functools import partial
|
||||
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
|
||||
|
||||
:example:
|
||||
>>> from ...core.str2 import list_sink
|
||||
>>> rdstr2list = rdstr2(list_sink)
|
||||
>>> rdstr2list("{a}+{a*b}-2")
|
||||
[<RdLeaf a>, '+', <RdLeaf a*b>, '+', <MOnumber -2>]
|
||||
>>> rdstr2list("{a}({b}x+{c})")
|
||||
[<RdLeaf a>, '*', [<RdLeaf b>, '*', <MOstr x>, '+', <RdLeaf c>]]
|
||||
"""
|
||||
lfop = lookfor(is_operator)
|
||||
operator_corout = partial(concurent_broadcast, lookfors=[lfop])
|
||||
|
||||
def pipeline(expression):
|
||||
str2_corout = look_for_rdleaf(
|
||||
lookforNumbers(operator_corout(missing_times(moify_cor(pparser(sink)))))
|
||||
)
|
||||
|
||||
for i in expression.replace(" ", ""):
|
||||
str2_corout.send(i)
|
||||
a = str2_corout.throw(STOOOP)
|
||||
|
||||
return a
|
||||
|
||||
return pipeline
|
43
mapytex/calculus/random/expression.py
Normal file
43
mapytex/calculus/random/expression.py
Normal file
@ -0,0 +1,43 @@
|
||||
from ..API.expression import Expression
|
||||
from .core.random_tree import RandomTree
|
||||
|
||||
DEFAUTL_CONFIG = {
|
||||
"rejected": [0, 1],
|
||||
"min_max": (-10, 10),
|
||||
}
|
||||
|
||||
|
||||
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
|
||||
:param global_config: configuration for all variables
|
||||
:param configs: configuration for each variables
|
||||
:return: Expression or Token generated
|
||||
|
||||
:example:
|
||||
>>> e = expression_generator("{a}/{a*k}")
|
||||
>>> e # doctest: +SKIP
|
||||
<Exp: -3 / -15>
|
||||
>>> e = expression_generator("{a}/{a*k} - 3*{b}", configs={'a':{'min_max':(10, 30)}})
|
||||
>>> e # doctest: +SKIP
|
||||
<Exp: 18 / 108 - 3 * 9>
|
||||
>>> e = expression_generator("{a}*x + {b}*x + 3", conditions=["a>b"], global_config={"rejected":[0, 1]})
|
||||
>>> print(e) # doctest: +SKIP
|
||||
10x - 6x + 3
|
||||
>>> ee = e.simplify()
|
||||
>>> print(ee) # doctest: +SKIP
|
||||
4x + 3
|
||||
|
||||
"""
|
||||
rd_tree = RandomTree.from_str(template)
|
||||
generated_tree = rd_tree.generate(
|
||||
conditions, dict(DEFAUTL_CONFIG, **global_config), configs
|
||||
)
|
||||
return Expression._post_processing(generated_tree)
|
64
mapytex/calculus/random/list.py
Normal file
64
mapytex/calculus/random/list.py
Normal file
@ -0,0 +1,64 @@
|
||||
"""
|
||||
List generator
|
||||
--------------
|
||||
|
||||
This function ignores tree structure and works with lists
|
||||
|
||||
>>> values = list_generator(["a", "a*b", "b", "c"], conditions=["b%c==1"])
|
||||
>>> values # doctest: +SKIP
|
||||
{'a': -8, 'a*b': -40, 'b': 5, 'c': 4}
|
||||
"""
|
||||
|
||||
from .core.generate import random_generator
|
||||
from .core.grammar import extract_letters, eval_words
|
||||
|
||||
DEFAUTL_CONFIG = {
|
||||
"rejected": [0],
|
||||
"min_max": (-10, 10),
|
||||
}
|
||||
|
||||
|
||||
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
|
||||
:param global_config: configuration for all variables
|
||||
:param configs: configuration for each variables
|
||||
:return: list of generated variables
|
||||
|
||||
:example:
|
||||
>>> a, ab, b, c = list_generator(["a", "a*b", "b", "c"])
|
||||
>>> a, ab, b, c # doctest: +SKIP
|
||||
(5, -20, -4, -3)
|
||||
>>> a * b == ab
|
||||
True
|
||||
>>> ab # doctest: +SKIP
|
||||
-20
|
||||
>>> a, b # doctest: +SKIP
|
||||
5, -4
|
||||
>>> a, ab, b, c = list_generator(["a", "a*b", "b", "c"], conditions=["a-b==0"])
|
||||
>>> a - b == 0
|
||||
True
|
||||
>>> a, ab, b, c = list_generator(["a", "a*b", "b", "c"], global_config={"rejected": [2, 3, 5, 7]})
|
||||
>>> a not in [2, 3, 5, 7]
|
||||
True
|
||||
>>> b not in [2, 3, 5, 7]
|
||||
True
|
||||
>>> c not in [2, 3, 5, 7]
|
||||
True
|
||||
>>> a, ab, b, c = list_generator(["a", "a*b", "b", "c"], configs={"a": {"rejected": [2, 3, 5, 7]}})
|
||||
>>> a not in [2, 3, 5, 7]
|
||||
True
|
||||
"""
|
||||
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]
|
@ -18,6 +18,7 @@ def random_pythagore(v_min = 1, v_max = 10, nbr_format = lambda x : x) :
|
||||
formated_triplet = [nbr_format(i) for i in triplet]
|
||||
return formated_triplet
|
||||
|
||||
|
||||
# -----------------------------
|
||||
# Reglages pour 'vim'
|
||||
# vim:set autoindent expandtab tabstop=4 shiftwidth=4:
|
||||
|
@ -32,11 +32,17 @@ class Dataset(list):
|
||||
"""
|
||||
|
||||
@classmethod
|
||||
def random(cls, length, data_name="Valeurs",
|
||||
distrib="gauss", rd_args=(0, 1),
|
||||
def random(
|
||||
cls,
|
||||
length,
|
||||
data_name="Valeurs",
|
||||
distrib="gauss",
|
||||
rd_args=(0, 1),
|
||||
nbr_format=lambda x: round(x, 2),
|
||||
v_min=None, v_max=None,
|
||||
exact_mean=None):
|
||||
v_min=None,
|
||||
v_max=None,
|
||||
exact_mean=None,
|
||||
):
|
||||
""" Generate a random list of value
|
||||
|
||||
:param length: length of the dataset
|
||||
@ -47,11 +53,9 @@ class Dataset(list):
|
||||
:param v_max: maximum accepted value
|
||||
:param exact_mean: if set, the last generated number will be create in order that the computed mean is exacly equal to "exact_mean"
|
||||
"""
|
||||
data = random_generator(length,
|
||||
distrib, rd_args,
|
||||
nbr_format,
|
||||
v_min, v_max,
|
||||
exact_mean)
|
||||
data = random_generator(
|
||||
length, distrib, rd_args, nbr_format, v_min, v_max, exact_mean
|
||||
)
|
||||
|
||||
return cls(data, data_name=data_name)
|
||||
|
||||
@ -120,7 +124,8 @@ class Dataset(list):
|
||||
self.quartile(1),
|
||||
self.quartile(2),
|
||||
self.quartile(3),
|
||||
max(self))
|
||||
max(self),
|
||||
)
|
||||
|
||||
@number_factory
|
||||
def quartile(self, quartile=1):
|
||||
@ -173,18 +178,21 @@ class Dataset(list):
|
||||
""" Latex code to display dataset as a tabular """
|
||||
d_per_line = self.effectif_total() // nbr_lines
|
||||
d_last_line = self.effectif_total() % d_per_line
|
||||
splited_data = [self[x:x + d_per_line]
|
||||
for x in range(0, self.effectif_total(), d_per_line)]
|
||||
splited_data = [
|
||||
self[x : x + d_per_line]
|
||||
for x in range(0, self.effectif_total(), d_per_line)
|
||||
]
|
||||
# On ajoute les éléments manquant pour la dernière line
|
||||
if d_last_line:
|
||||
splited_data[-1] += [' '] * (d_per_line - d_last_line)
|
||||
splited_data[-1] += [" "] * (d_per_line - d_last_line)
|
||||
|
||||
# Construction du tableau
|
||||
latex = "\\begin{{tabular}}{{|c|*{{{nbr_col}}}{{c|}}}} \n".format(
|
||||
nbr_col=d_per_line)
|
||||
nbr_col=d_per_line
|
||||
)
|
||||
latex += "\t\t \hline \n"
|
||||
|
||||
d_lines = [' & '.join(map(str, l)) for l in splited_data]
|
||||
d_lines = [" & ".join(map(str, l)) for l in splited_data]
|
||||
latex += " \\\\ \n \\hline \n".join(d_lines)
|
||||
|
||||
latex += " \\\\ \n \\hline \n"
|
||||
|
@ -6,6 +6,7 @@ from functools import wraps
|
||||
|
||||
def number_factory(fun):
|
||||
""" Decorator which format returned value """
|
||||
|
||||
@wraps(fun)
|
||||
def wrapper(*args, **kwargs):
|
||||
ans = fun(*args, **kwargs)
|
||||
@ -16,6 +17,7 @@ def number_factory(fun):
|
||||
return round(ans, 2)
|
||||
except AttributeError:
|
||||
return ans
|
||||
|
||||
return wrapper
|
||||
|
||||
|
||||
|
@ -4,11 +4,15 @@
|
||||
from random import randint, uniform, gauss, choice
|
||||
|
||||
|
||||
def random_generator(length,
|
||||
distrib=gauss, rd_args=(0, 1),
|
||||
def random_generator(
|
||||
length,
|
||||
distrib=gauss,
|
||||
rd_args=(0, 1),
|
||||
nbr_format=lambda x: round(x, 2),
|
||||
v_min=None, v_max=None,
|
||||
exact_mean=None):
|
||||
v_min=None,
|
||||
v_max=None,
|
||||
exact_mean=None,
|
||||
):
|
||||
""" Generate a random list of value
|
||||
|
||||
:param length: length of the dataset
|
||||
@ -19,12 +23,18 @@ def random_generator(length,
|
||||
:param v_max: maximum accepted value
|
||||
:param exact_mean: if set, the last generated number will be create in order that the computed mean is exacly equal to "exact_mean"
|
||||
|
||||
>>> random_generator(10)
|
||||
>>> random_generator(10, distrib = uniform, rd_args = (5, 10))
|
||||
>>> random_generator(10, distrib = "uniform", rd_args = (5, 10))
|
||||
>>> random_generator(10, v_min = 0)
|
||||
>>> random_generator(10, exact_mean = 0)
|
||||
>>> random_generator(10, distrib = gauss, rd_args = (50,20), nbr_format = int)
|
||||
>>> random_generator(10) # doctest: +SKIP
|
||||
[-0.76, 0.46, 0.19, 0.08, -1.13, -0.5, 0.47, -2.11, 0.16, -1.05]
|
||||
>>> random_generator(10, distrib = uniform, rd_args = (5, 10)) # doctest: +SKIP
|
||||
[9.01, 5.32, 5.59, 8.8, 7.36, 6.9, 6.05, 7.44, 9.47, 6.95]
|
||||
>>> random_generator(10, distrib = "uniform", rd_args = (5, 10)) # doctest: +SKIP
|
||||
[7.85, 9.01, 5.32, 5.59, 8.8, 7.36, 6.9, 6.05, 7.44, 9.47]
|
||||
>>> random_generator(10, v_min = 0) # doctest: +SKIP
|
||||
[0.46, 0.19, 0.08, 0.47, 0.16, 0.87, 0.17, 1.79, 0.19, 1.12]
|
||||
>>> random_generator(10, exact_mean = 0) # doctest: +SKIP
|
||||
[-0.76, 0.46, 0.19, 0.08, -1.13, -0.5, 0.47, -2.11, 0.16, 3.14]
|
||||
>>> random_generator(10, distrib = gauss, rd_args = (50,20), nbr_format = int) # doctest: +SKIP
|
||||
[34, 59, 53, 51, 27, 40, 59, 7, 53, 28]
|
||||
|
||||
"""
|
||||
# if exact_mean is set, we create automaticaly only length-1 value
|
||||
@ -47,7 +57,8 @@ def random_generator(length,
|
||||
"gauss": gauss,
|
||||
"uniform": uniform,
|
||||
"randint": randint,
|
||||
"choice": choice}
|
||||
"choice": choice,
|
||||
}
|
||||
try:
|
||||
distrib(*rd_args)
|
||||
except TypeError:
|
||||
@ -67,11 +78,13 @@ def random_generator(length,
|
||||
last_v = nbr_format((length + 1) * exact_mean - sum(data))
|
||||
if not validate(last_v):
|
||||
raise ValueError(
|
||||
"Can't build the last value. Conflict between v_min/v_max and exact_mean")
|
||||
"Can't build the last value. Conflict between v_min/v_max and exact_mean"
|
||||
)
|
||||
data.append(last_v)
|
||||
|
||||
return data
|
||||
|
||||
|
||||
# -----------------------------
|
||||
# Reglages pour 'vim'
|
||||
# vim:set autoindent expandtab tabstop=4 shiftwidth=4:
|
||||
|
@ -12,9 +12,11 @@ from .dataset import Dataset
|
||||
from itertools import chain
|
||||
from .number_tools import number_factory
|
||||
|
||||
|
||||
def flatten_list(l):
|
||||
return list(chain(*l))
|
||||
|
||||
|
||||
class WeightedDataset(dict):
|
||||
""" A weighted dataset with statistics and latex rendering methods
|
||||
|
||||
@ -37,11 +39,8 @@ class WeightedDataset(dict):
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
datas=[],
|
||||
data_name="Valeurs",
|
||||
weights=[],
|
||||
weight_name="Effectifs"):
|
||||
self, datas=[], data_name="Valeurs", weights=[], weight_name="Effectifs"
|
||||
):
|
||||
"""
|
||||
Initiate the WeightedDataset
|
||||
"""
|
||||
@ -109,11 +108,13 @@ class WeightedDataset(dict):
|
||||
(1, 3, 4, 5, 5)
|
||||
|
||||
"""
|
||||
return (min(self.keys()),
|
||||
return (
|
||||
min(self.keys()),
|
||||
self.quartile(1),
|
||||
self.quartile(2),
|
||||
self.quartile(3),
|
||||
max(self.keys()))
|
||||
max(self.keys()),
|
||||
)
|
||||
|
||||
@number_factory
|
||||
def quartile(self, quartile=1):
|
||||
@ -146,8 +147,9 @@ class WeightedDataset(dict):
|
||||
position = self.posi_quartile(quartile) - 1
|
||||
expanded_values = flatten_list([v * [k] for (k, v) in self.items()])
|
||||
if position.is_integer():
|
||||
return (expanded_values[int(position)] +
|
||||
expanded_values[int(position) + 1]) / 2
|
||||
return (
|
||||
expanded_values[int(position)] + expanded_values[int(position) + 1]
|
||||
) / 2
|
||||
else:
|
||||
return expanded_values[ceil(position)]
|
||||
|
||||
@ -167,7 +169,8 @@ class WeightedDataset(dict):
|
||||
def tabular_latex(self):
|
||||
""" Latex code to display dataset as a tabular """
|
||||
latex = "\\begin{{tabular}}{{|c|*{{{nbr_col}}}{{c|}}}} \n".format(
|
||||
nbr_col=len(self.keys()))
|
||||
nbr_col=len(self.keys())
|
||||
)
|
||||
latex += "\t \hline \n"
|
||||
data_line = "\t {data_name} ".format(data_name=self.data_name)
|
||||
weight_line = "\t {weight_name} ".format(weight_name=self.weight_name)
|
||||
|
35
noxfile.py
Normal file
35
noxfile.py
Normal file
@ -0,0 +1,35 @@
|
||||
#!/usr/bin/env python
|
||||
|
||||
|
||||
import nox
|
||||
|
||||
|
||||
@nox.session
|
||||
def lint(session):
|
||||
session.install("black")
|
||||
session.run("black", "mapytex", "noxfile.py", "setup.py")
|
||||
|
||||
|
||||
@nox.session
|
||||
def test(session):
|
||||
session.install("-r", "requirements.txt")
|
||||
session.install("pytest")
|
||||
session.run("pytest", "mapytex")
|
||||
|
||||
|
||||
@nox.session
|
||||
def docs(session):
|
||||
"""Build the documentation."""
|
||||
session.run("rm", "-rf", "documentation/_build", external=True)
|
||||
session.install("sphinx", "sphinx-autobuild", "sphinx_rtd_theme")
|
||||
session.install(".")
|
||||
session.cd("documentation/source")
|
||||
sphinx_args = ["-b", "html", "-W", "-d", "_build/doctrees", ".", "_build/html"]
|
||||
|
||||
if not session.interactive:
|
||||
sphinx_cmd = "sphinx-build"
|
||||
else:
|
||||
sphinx_cmd = "sphinx-autobuild"
|
||||
sphinx_args.insert(0, "--open-browser")
|
||||
|
||||
session.run(sphinx_cmd, *sphinx_args)
|
@ -21,6 +21,6 @@ pyparsing==2.3.0
|
||||
pytest==3.10.1
|
||||
simplegeneric==0.8.1
|
||||
six==1.11.0
|
||||
tabulate==0.8.2
|
||||
tabulate==0.8.7
|
||||
traitlets==4.3.2
|
||||
wcwidth==0.1.7
|
||||
|
17
setup.py
17
setup.py
@ -6,17 +6,14 @@ except ImportError:
|
||||
from distutils.core import setup
|
||||
|
||||
setup(
|
||||
name='mapytex',
|
||||
version='2.1',
|
||||
description='Computing like a student',
|
||||
author='Benjamin Bertrand',
|
||||
author_email='programming@opytex.org',
|
||||
url='http://git.opytex.org/lafrite/Mapytex',
|
||||
name="mapytex",
|
||||
version="2.3.2",
|
||||
description="Computing like a student",
|
||||
author="Benjamin Bertrand",
|
||||
author_email="programming@opytex.org",
|
||||
url="http://git.opytex.org/lafrite/Mapytex",
|
||||
# packages=['mapytex'],
|
||||
packages=find_packages(),
|
||||
include_package_data=True,
|
||||
install_requires=[
|
||||
'multipledispatch',
|
||||
'tabulate',
|
||||
],
|
||||
install_requires=["multipledispatch", "tabulate"],
|
||||
)
|
||||
|
0
test/__init__.py
Normal file
0
test/__init__.py
Normal file
0
test/calculus/__init__.py
Normal file
0
test/calculus/__init__.py
Normal file
31
test/calculus/core/test_render.py
Normal file
31
test/calculus/core/test_render.py
Normal file
@ -0,0 +1,31 @@
|
||||
import mapytex
|
||||
|
||||
def test_default_render():
|
||||
assert mapytex.render.render_name == "txt"
|
||||
|
||||
def test_default_rending():
|
||||
e = mapytex.Expression("2*3")
|
||||
assert str(e) == "2*3"
|
||||
|
||||
def test_changing_render():
|
||||
assert mapytex.render.render_name == "txt"
|
||||
mapytex.render.set_render("tex")
|
||||
assert mapytex.render.render_name == "tex"
|
||||
mapytex.render.set_render("txt")
|
||||
assert mapytex.render.render_name == "txt"
|
||||
|
||||
|
||||
def test_changing_rending():
|
||||
e = mapytex.Expression.from_str("2*3")
|
||||
f = mapytex.Expression.from_str("2/3")
|
||||
assert str(e) == "2 * 3"
|
||||
assert str(f) == "2 / 3"
|
||||
mapytex.render.set_render("tex")
|
||||
assert str(e) == "2 \\times 3"
|
||||
assert str(f) == "\\dfrac{2}{3}"
|
||||
mapytex.render.set_render("txt")
|
||||
assert str(e) == "2 * 3"
|
||||
assert str(f) == "2 / 3"
|
||||
|
||||
|
||||
|
0
test/calculus/random/__init__.py
Normal file
0
test/calculus/random/__init__.py
Normal file
15
test/calculus/random/test_expression_generator.py
Normal file
15
test/calculus/random/test_expression_generator.py
Normal file
@ -0,0 +1,15 @@
|
||||
import mapytex
|
||||
|
||||
def test_generate_expression():
|
||||
random_expression = mapytex.random.expression("{a}+{b}")
|
||||
assert type(random_expression).__name__ == "Expression"
|
||||
random_expression = mapytex.random.expression("{a}/{b}")
|
||||
assert type(random_expression).__name__ == "Fraction"
|
||||
|
||||
def test_generate_expression_calculus():
|
||||
random_expression = mapytex.random.expression("{a}+{a*b}")
|
||||
assert type(random_expression).__name__ == "Expression"
|
||||
random_expression = mapytex.random.expression("{a}/{a*b}", global_config={"min_max": (2, 10)})
|
||||
assert type(random_expression).__name__ == "Fraction"
|
||||
assert random_expression.numerator / random_expression.denominator <= 1
|
||||
|
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, cos = mapytex.random.list(["a", "b", "exp(a)", "cos(b)"])
|
||||
assert math.exp(a) == exp
|
||||
assert math.cos(b) == cos
|
||||
|
||||
|
||||
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