Feat: return value for random_list
continuous-integration/drone/push Build is passing Details
continuous-integration/drone/tag Build is passing Details

This commit is contained in:
Bertrand Benjamin 2020-08-20 20:50:54 +02:00
parent f767aa390c
commit 0cadc6734e
2 changed files with 17 additions and 9 deletions

View File

@ -71,7 +71,7 @@ This function ignores tree structure and works with lists
{'a': -8, 'a*b': -40, 'b': 5, 'c': 4}
"""
__all__ = ["generator"]
__all__ = ["list_generator"]
from random import choice
from functools import reduce
@ -256,7 +256,7 @@ def build_variable_scope(rd_variables, rejected, min_max, variables_scope):
return complete_scope
def list_generator(var_list, conditions=[], rejected=[0], min_max=(-10, 10), variables_scope={}):
def list_generator(var_list, conditions=[], rejected=[0], min_max=(-10, 10), variables_scope={}, dictionnary=False):
""" Generate random computed values from the list
:param rd_variables: list of random variables to generate (can be computed value - "a*b")
@ -264,17 +264,25 @@ def list_generator(var_list, conditions=[], rejected=[0], min_max=(-10, 10), var
: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
:param dictionnary: the return value will be a dictionnary with var_list as keys (default False)
:return: dictionnary of generated variables
:example:
>>> values = list_generator(["a", "a*b", "b", "c"])
>>> values # doctest: +SKIP
>>> values["a"] * values["b"] == values["a*b"]
>>> 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
>>> values["a*b"] # doctest: +SKIP
>>> values["a"] * values["b"] # doctest: +SKIP
>>> ab # doctest: +SKIP
-20
>>> a, b # doctest: +SKIP
5, -4
>>> list_generator(["a", "a*b", "b", "c"], dictionnary=True) # doctest: +SKIP
{'a': -3, 'a*b': 18, 'b': -6, 'c': -4}
"""
rv = extract_rv(var_list)
rv_gen = random_generator(rv, conditions, rejected, min_max, variables_scope)
generated = compute_leafs(var_list, rv_gen)
return generated
if dictionnary:
return generated
return [generated[v] for v in var_list]

View File

@ -7,7 +7,7 @@ except ImportError:
setup(
name="mapytex",
version="2.3.1",
version="2.3.2",
description="Computing like a student",
author="Benjamin Bertrand",
author_email="programming@opytex.org",