Feat: Remove references to random in API
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@ -13,10 +13,8 @@ Tokens representing interger and decimal
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from decimal import Decimal as _Decimal
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from .token import Token
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from ...core.arithmetic import gcd
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#from ...core.random.int_gene import filter_random
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from ...core.MO import MO, MOnumber
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from ...core.MO.fraction import MOFraction
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from random import random
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__all__ = ["Integer", "Decimal", "Fraction"]
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@ -54,23 +52,6 @@ class Integer(Token):
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return cls(mo, name, ancestor)
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@classmethod
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def random(
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cls, name="", min_value=-10, max_value=10, rejected=[0, 1], accept_callbacks=[]
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):
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""" Generate a random Integer
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:param name: name of the Integer
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:param min_value: minimum value
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:param max_value: maximum value
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:param rejected: rejected values
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:param accept_callbacks: list of function for value acceptation
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"""
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candidate = filter_random(min_value, max_value, rejected, accept_callbacks)
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return Integer(candidate, name)
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class Decimal(Token):
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@ -108,36 +89,6 @@ class Decimal(Token):
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return cls(mo, name, ancestor)
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@classmethod
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def random(
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cls,
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name="",
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min_value=-10,
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max_value=10,
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digits=2,
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rejected=[0, 1],
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reject_callbacks=[],
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):
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""" Generate a random Decimal
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:param name: name of the Integer
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:param min_value: minimum value
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:param max_value: maximum value
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:param digits: digits after comas
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:param rejected: rejected values
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:param reject_callbacks: list of function for value rejection
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"""
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conditions = [lambda x: x in rejected] + reject_callbacks
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float_cand = (max_value - min_value) * random() + min_value
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candidate = _Decimal(f"{float_cand:.{digits}f}")
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while any(c(candidate) for c in conditions):
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float_cand = (max_value - min_value) * random() + min_value
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candidate = _Decimal(f"{float_cand:.{digits}f}")
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return Decimal(candidate, name)
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class Fraction(Token):
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@ -172,69 +123,6 @@ class Fraction(Token):
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return cls(mo, name, ancestor)
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@classmethod
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def random(
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cls,
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name="",
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fix_num="",
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min_num=-10,
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max_num=10,
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rejected_num=[0],
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accept_num_callbacks=[],
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fix_denom="",
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min_denom=-10,
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max_denom=10,
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rejected_denom=[0, 1, -1],
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accept_denom_callbacks=[],
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irreductible=False,
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not_integer=True,
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):
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""" Generate a random Fraction
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:param name: Name of the fraction
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:param fix_num: if set, the numerator will get this value
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:param min_num: minimum value for the numerator
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:param max_num: maximum value for the numerator
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:param rejected_num: rejected values for the numerator
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:param accept_num_callbacks: list of function for numerator rejection
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:param fix_denom: if set, the denomerator will get this value
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:param min_denom: minimum value for the denominator
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:param max_denom: maximum value for the denominator
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:param rejected_denom: rejected values for the denominator
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:param accept_denom_callbacks: list of function for denomerator rejection
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:param irreductible: is the generated fraction necessary irreductible
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:param not_integer: can the generated fraction be egal to an interger
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"""
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if fix_num == "":
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num = filter_random(min_num, max_num, rejected_num, accept_num_callbacks)
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else:
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num = fix_num
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if fix_denom == "":
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accept_callbacks = accept_denom_callbacks
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if irreductible:
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def prime_with_num(denom):
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return gcd(num, denom) == 1
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accept_callbacks.append(prime_with_num)
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if not_integer:
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def not_divise_num(denom):
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return num % denom != 0
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accept_callbacks.append(not_divise_num)
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denom = filter_random(
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min_denom, max_denom, rejected_denom, accept_callbacks
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)
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else:
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denom = fix_denom
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frac = MOFraction(num, denom)
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return cls(frac, name)
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@property
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def numerator(self):
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""" Get numerator of the fraction
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@ -61,10 +61,6 @@ class Polynomial(Token):
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"""
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return cls(MOpolynomial(variable_name, coefficients), name)
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@classmethod
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def random(cls):
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raise NotImplementedError
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@property
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def raw(self):
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raise NotImplementedError("Polynomial does not exists in python")
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@ -171,10 +167,6 @@ class Linear(Polynomial):
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Polynomial.__init__(self, mo, name, ancestor)
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self._mathtype = "affine"
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@classmethod
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def random(cls):
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raise NotImplementedError
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@property
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@to_be_token
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def a(self):
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@ -258,10 +250,6 @@ class Quadratic(Polynomial):
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Polynomial.__init__(self, mo, name, ancestor)
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self._mathtype = "polynome du 2nd degré"
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@classmethod
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def random(cls):
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raise NotImplementedError
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@property
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@to_be_token
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def a(self):
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@ -24,14 +24,6 @@ class Token(object):
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self._mathtype = None
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self._ancestor = ancestor
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@classmethod
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def random(
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cls,
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family="integer",
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**kwds
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):
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raise NotImplemented
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def explain(self):
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""" Yield every calculus step which have lead to self
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