Feat: random variable generator done!

This commit is contained in:
Bertrand Benjamin 2019-05-12 16:58:36 +02:00
parent d94beef79a
commit 295677045b

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@ -49,6 +49,7 @@ Tree with RdLeaf replaced by generated values
"""
from random import choice
from .leaf import RdLeaf
def extract_rdleaf(tree):
@ -124,3 +125,95 @@ def replace_rdleaf(tree, computed_leafs):
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}
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
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