def test_or_conjunction(self):
self.assertRaises(TypeError, AndConjunction, "String1", "String2")
hp1 = CategoricalHyperparameter("input1", [0, 1])
hp2 = CategoricalHyperparameter("input2", [0, 1])
hp3 = CategoricalHyperparameter("input3", [0, 1])
hp4 = Constant("Or", "True")
cond1 = EqualsCondition(hp4, hp1, 1)
self.assertRaises(ValueError, OrConjunction, cond1)
cond2 = EqualsCondition(hp4, hp2, 1)
cond3 = EqualsCondition(hp4, hp3, 1)
andconj1 = OrConjunction(cond1, cond2)
andconj1_ = OrConjunction(cond1, cond2)
self.assertEqual(andconj1, andconj1_)
andconj2 = OrConjunction(cond2, cond3)
self.assertNotEqual(andconj1, andconj2)
andconj3 = OrConjunction(cond1, cond2, cond3)
self.assertEqual(
"(Or | input1 == 1 || Or | input2 == 1 || Or | "
"input3 == 1)", str(andconj3))
def test_or_conjunction(self):
self.assertRaises(TypeError, AndConjunction, "String1", "String2")
hp1 = CategoricalHyperparameter("input1", [0, 1])
hp2 = CategoricalHyperparameter("input2", [0, 1])
hp3 = CategoricalHyperparameter("input3", [0, 1])
hp4 = Constant("Or", "True")
cond1 = EqualsCondition(hp4, hp1, 1)
self.assertRaises(ValueError, OrConjunction, cond1)
cond2 = EqualsCondition(hp4, hp2, 1)
cond3 = EqualsCondition(hp4, hp3, 1)
andconj1 = OrConjunction(cond1, cond2)
andconj1_ = OrConjunction(cond1, cond2)
self.assertEqual(andconj1, andconj1_)
# Test setting vector idx
hyperparameter_idx = {
hp1.name: 0,
hp2.name: 1,
hp3.name: 2,
hp4.name: 3
}
andconj1.set_vector_idx(hyperparameter_idx)
self.assertEqual(andconj1.get_parents_vector(), [0, 1])
self.assertEqual(andconj1.get_children_vector(), [3, 3])
andconj2 = OrConjunction(cond2, cond3)
self.assertNotEqual(andconj1, andconj2)
andconj3 = OrConjunction(cond1, cond2, cond3)
self.assertEqual("(Or | input1 == 1 || Or | input2 == 1 || Or | "
"input3 == 1)", str(andconj3))
def _construct_or_condition(
condition: Dict,
cs: ConfigurationSpace,
) -> OrConjunction:
conditions = [
_construct_condition(cond, cs) for cond in condition['conditions']
]
return OrConjunction(*conditions)
def get_complete_configspace():
"""Creates a configspace that includes all kinds of parameters with
complicated values. The idea is to provide a configspace that can be
used to check modules using ConfigSpace as a dependency to check
compatibility with e.g. Constants, log-scale, etc.
Returns
-------
cs: ConfigurationSpace
cs containing all kinds of parameters
"""
cs = ConfigurationSpace()
hp = {}
# Add Constants for all allowed types ('int', 'float', 'string')
hp['alpha'] = Constant("alpha", 0.0001)
hp['tol'] = Constant("tol", '0.0001')
hp['verbose'] = Constant("verbose", 1)
# Add numericals
# Add Floats
hp['beta1'] = UniformFloatHyperparameter("beta1", 0.85, 0.95, log=False)
hp['power_t'] = NormalFloatHyperparameter("power_t", mu=0.5, sigma=0.1, log=False)
# Add Ints
hp['momentum'] = UniformIntegerHyperparameter("momentum", 0, 100, False)
hp['beta2'] = NormalIntegerHyperparameter("beta2", mu=1, sigma=0.001, log=False)
# Add Floats (log)
hp['learning_rate_init'] = UniformFloatHyperparameter("learning_rate_init", 0.0001, 0.1, log=True)
hp['random1'] = NormalFloatHyperparameter("NormalFloat", mu=0, sigma=1, default_value=1, log=True)
# Add Ints (log)
hp['random2'] = UniformIntegerHyperparameter("UniformInt", 2, 100, log=True)
hp['random3'] = NormalIntegerHyperparameter("NormalInt", mu=0, sigma=1, default_value=1, log=True)
# Add Categorical for allowed types
hp['activation'] = CategoricalHyperparameter('activation', choices=['identity', 'logistic', 'tanh', 'relu'])
hp['solver'] = CategoricalHyperparameter('solver', choices=[-2, 0, 2]) # corrresponds to: ‘lbfgs’, ‘sgd’, ‘adam’
hp['batch_size_auto'] = CategoricalHyperparameter('batch_size_auto', choices=[True, False])
hp['learning_rate'] = CategoricalHyperparameter('learning_rate', choices=[-0.5, 0.0, 0.5]) # corresponds to {‘constant’, ‘invscaling’, ‘adaptive’}
# Add Ordinal
hp['batch_size'] = OrdinalHyperparameter('batch_size', sequence=[32, 64.0, '128'])
for k, v in hp.items():
cs.add_hyperparameter(v)
# learning_rate only with sgd
c = InCondition(hp['learning_rate'], hp['solver'], [0])
c = EqualsCondition(hp['momentum'], hp['solver'], 0)
# learning_rate_init only with sgd or adam
cs.add_condition(OrConjunction(EqualsCondition(hp['learning_rate'], hp['solver'], 0), # sgd
EqualsCondition(hp['learning_rate'], hp['solver'], 2))) # adam
# batch_size only with not batch_size_auto
cs.add_condition(NotEqualsCondition(hp['batch_size'], hp['batch_size_auto'], True))
# complicated way for solver == sgd
#cs.add_condition(AndConjunction(LessThanCondition(hp['power_t'], hp['solver'], 1),
# GreaterThanCondition(hp['power_t'], hp['solver'], -1)))
# betas with adam
cs.add_condition(EqualsCondition(hp['beta1'], hp['solver'], 2))
cs.add_condition(EqualsCondition(hp['beta2'], hp['solver'], 2))
return cs
def _build_or_conjunction(conjunction: OrConjunction) -> Dict:
child = conjunction.get_descendant_literal_conditions()[0].child.name
cond_list = list()
for component in conjunction.components:
cond_list.append(_build_condition(component))
return {
'child': child,
'type': 'OR',
'conditions': cond_list,
}
def _build_or_conjunction(conjunction: OrConjunction) -> Dict:
child = conjunction.get_descendant_literal_conditions()[0].child.name
cond_list = list()
for component in conjunction.components:
cond_list.append(_build_condition(component))
return {
'child': child,
'type': 'OR',
'conditions': cond_list,
}
def test_or_conjunction(self):
self.assertRaises(TypeError, AndConjunction, "String1", "String2")
hp1 = CategoricalHyperparameter("input1", [0, 1])
hp2 = CategoricalHyperparameter("input2", [0, 1])
hp3 = CategoricalHyperparameter("input3", [0, 1])
hp4 = Constant("Or", "True")
cond1 = EqualsCondition(hp4, hp1, 1)
self.assertRaises(ValueError, OrConjunction, cond1)
cond2 = EqualsCondition(hp4, hp2, 1)
cond3 = EqualsCondition(hp4, hp3, 1)
andconj1 = OrConjunction(cond1, cond2)
andconj1_ = OrConjunction(cond1, cond2)
self.assertEqual(andconj1, andconj1_)
# Test setting vector idx
hyperparameter_idx = {
hp1.name: 0,
hp2.name: 1,
hp3.name: 2,
hp4.name: 3
}
andconj1.set_vector_idx(hyperparameter_idx)
self.assertEqual(andconj1.get_parents_vector(), [0, 1])
self.assertEqual(andconj1.get_children_vector(), [3, 3])
andconj2 = OrConjunction(cond2, cond3)
self.assertNotEqual(andconj1, andconj2)
andconj3 = OrConjunction(cond1, cond2, cond3)
self.assertEqual(
"(Or | input1 == 1 || Or | input2 == 1 || Or | "
"input3 == 1)", str(andconj3))
def test_write_OrConjunction_condition(self):
import numpy as np
expected = "lp '--lp ' c {mi,bo}\ntemp '--temp ' r (2.000000, 5.000000)\nls '--ls ' c {sa,ca,ny}| temp==3.0 || lp %in% c(bo)\n"
temp = UniformFloatHyperparameter("temp", np.exp(2), np.exp(5), log=True)
ls = CategoricalHyperparameter("ls", ["sa", "ca", "ny"], "sa")
lp = CategoricalHyperparameter("lp", ["mi", "bo"], "bo")
cs = ConfigurationSpace()
cs.add_hyperparameter(temp)
cs.add_hyperparameter(lp)
cs.add_hyperparameter(ls)
c1 = EqualsCondition(ls, temp, np.exp(3))
c2 = InCondition(ls, lp, ['bo'])
c3 = OrConjunction(c1, c2)
cs.add_condition(c3)
value = irace.write(cs)
self.assertEqual(expected, value)
def test_nested_conjunctions(self):
hp1 = CategoricalHyperparameter("input1", [0, 1])
hp2 = CategoricalHyperparameter("input2", [0, 1])
hp3 = CategoricalHyperparameter("input3", [0, 1])
hp4 = CategoricalHyperparameter("input4", [0, 1])
hp5 = CategoricalHyperparameter("input5", [0, 1])
hp6 = Constant("AND", "True")
cond1 = EqualsCondition(hp6, hp1, 1)
cond2 = EqualsCondition(hp6, hp2, 1)
cond3 = EqualsCondition(hp6, hp3, 1)
cond4 = EqualsCondition(hp6, hp4, 1)
cond5 = EqualsCondition(hp6, hp5, 1)
conj1 = AndConjunction(cond1, cond2)
conj2 = OrConjunction(conj1, cond3)
conj3 = AndConjunction(conj2, cond4, cond5)
# TODO: this does not look nice, And should depend on a large
# conjunction, there should not be many ANDs inside this string!
self.assertEqual("(((AND | input1 == 1 && AND | input2 == 1) || AND | "
"input3 == 1) && AND | input4 == 1 && AND | input5 "
"== 1)", str(conj3))
def test_read_new_configuration_space_complex_conditionals(self):
classi = OrdinalHyperparameter(
"classi",
[
"random_forest", "extra_trees", "k_nearest_neighbors",
"something"
],
)
knn_weights = CategoricalHyperparameter("knn_weights",
["uniform", "distance"])
weather = OrdinalHyperparameter(
"weather", ["sunny", "rainy", "cloudy", "snowing"])
temperature = CategoricalHyperparameter("temperature", ["high", "low"])
rain = CategoricalHyperparameter("rain", ["yes", "no"])
gloves = OrdinalHyperparameter("gloves",
["none", "yarn", "leather", "gortex"])
heur1 = CategoricalHyperparameter("heur1", ["off", "on"])
heur2 = CategoricalHyperparameter("heur2", ["off", "on"])
heur_order = CategoricalHyperparameter("heur_order",
["heur1then2", "heur2then1"])
gloves_condition = OrConjunction(
EqualsCondition(gloves, rain, "yes"),
EqualsCondition(gloves, temperature, "low"))
heur_condition = AndConjunction(
EqualsCondition(heur_order, heur1, "on"),
EqualsCondition(heur_order, heur2, "on"))
and_conjunction = AndConjunction(
NotEqualsCondition(knn_weights, classi, "extra_trees"),
EqualsCondition(knn_weights, classi, "random_forest"))
Cl_condition = OrConjunction(
EqualsCondition(knn_weights, classi, "k_nearest_neighbors"),
and_conjunction, EqualsCondition(knn_weights, classi, "something"))
and1 = AndConjunction(EqualsCondition(temperature, weather, "rainy"),
EqualsCondition(temperature, weather, "cloudy"))
and2 = AndConjunction(
EqualsCondition(temperature, weather, "sunny"),
NotEqualsCondition(temperature, weather, "snowing"))
another_condition = OrConjunction(and1, and2)
complex_conditional_space = ConfigurationSpace()
complex_conditional_space.add_hyperparameter(classi)
complex_conditional_space.add_hyperparameter(knn_weights)
complex_conditional_space.add_hyperparameter(weather)
complex_conditional_space.add_hyperparameter(temperature)
complex_conditional_space.add_hyperparameter(rain)
complex_conditional_space.add_hyperparameter(gloves)
complex_conditional_space.add_hyperparameter(heur1)
complex_conditional_space.add_hyperparameter(heur2)
complex_conditional_space.add_hyperparameter(heur_order)
complex_conditional_space.add_condition(gloves_condition)
complex_conditional_space.add_condition(heur_condition)
complex_conditional_space.add_condition(Cl_condition)
complex_conditional_space.add_condition(another_condition)
complex_cs = list()
complex_cs.append(
"classi ordinal {random_forest,extra_trees,k_nearest_neighbors, something} "
"[random_forest]")
complex_cs.append(
"knn_weights categorical {uniform, distance} [uniform]")
complex_cs.append(
"weather ordinal {sunny, rainy, cloudy, snowing} [sunny]")
complex_cs.append("temperature categorical {high, low} [high]")
complex_cs.append("rain categorical { yes, no } [yes]")
complex_cs.append(
"gloves ordinal { none, yarn, leather, gortex } [none]")
complex_cs.append("heur1 categorical { off, on } [off]")
complex_cs.append("heur2 categorical { off, on } [off]")
complex_cs.append(
"heur_order categorical { heur1then2, heur2then1 } [heur1then2]")
complex_cs.append("gloves | rain == yes || temperature == low")
complex_cs.append("heur_order | heur1 == on && heur2 == on")
complex_cs.append(
"knn_weights | classi == k_nearest_neighbors || "
"classi != extra_trees && classi == random_forest || classi == something"
)
complex_cs.append(
"temperature | weather == rainy && weather == cloudy || "
"weather == sunny && weather != snowing")
cs_new = pcs_new.read(complex_cs)
self.assertEqual(cs_new, complex_conditional_space)
def read(pcs_string, debug=False):
"""
Reads in a :py:class:`~ConfigSpace.configuration_space.ConfigurationSpace`
definition from a pcs file.
Example
-------
>>> from ConfigSpace.read_and_write import pcs_new
>>> with open('configspace.pcs', 'r') as fh:
>>> restored_conf = pcs_new.read(fh)
Parameters
----------
pcs_string : str
ConfigSpace definition in pcs format
debug : bool
Provides debug information. Defaults to False.
Returns
-------
:py:class:`~ConfigSpace.configuration_space.ConfigurationSpace`
The restored ConfigurationSpace object
"""
configuration_space = ConfigurationSpace()
conditions = []
forbidden = []
# some statistics
ct = 0
cont_ct = 0
cat_ct = 0
ord_ct = 0
line_ct = 0
for line in pcs_string:
line_ct += 1
if "#" in line:
# It contains a comment
pos = line.find("#")
line = line[:pos]
# Remove quotes and whitespaces at beginning and end
line = line.replace('"', "").replace("'", "")
line = line.strip()
if "|" in line:
# It's a condition
try:
c = pp_condition.parseString(line)
conditions.append(c)
except pyparsing.ParseException:
raise NotImplementedError("Could not parse condition: %s" %
line)
continue
if "}" not in line and "]" not in line:
continue
if line.startswith("{") and line.endswith("}"):
forbidden.append(line)
continue
if len(line.strip()) == 0:
continue
ct += 1
param = None
create = {
"int": UniformIntegerHyperparameter,
"float": UniformFloatHyperparameter,
"categorical": CategoricalHyperparameter,
"ordinal": OrdinalHyperparameter
}
try:
param_list = pp_cont_param.parseString(line)
name = param_list[0]
if param_list[1] == 'integer':
paramtype = 'int'
elif param_list[1] == 'real':
paramtype = 'float'
else:
paramtype = None
if paramtype in ['int', 'float']:
log = param_list[10:]
param_list = param_list[:10]
if len(log) > 0:
log = log[0]
lower = float(param_list[3])
upper = float(param_list[5])
log_on = True if "log" in log else False
default_value = float(param_list[8])
param = create[paramtype](name=name,
lower=lower,
upper=upper,
q=None,
log=log_on,
default_value=default_value)
cont_ct += 1
except pyparsing.ParseException:
pass
try:
if "categorical" in line:
param_list = pp_cat_param.parseString(line)
name = param_list[0]
choices = [choice for choice in param_list[3:-4:2]]
default_value = param_list[-2]
param = create["categorical"](name=name,
choices=choices,
default_value=default_value)
cat_ct += 1
elif "ordinal" in line:
param_list = pp_ord_param.parseString(line)
name = param_list[0]
sequence = [seq for seq in param_list[3:-4:2]]
default_value = param_list[-2]
param = create["ordinal"](name=name,
sequence=sequence,
default_value=default_value)
ord_ct += 1
except pyparsing.ParseException:
pass
if param is None:
raise NotImplementedError("Could not parse: %s" % line)
configuration_space.add_hyperparameter(param)
for clause in forbidden:
param_list = pp_forbidden_clause.parseString(clause)
tmp_list = []
clause_list = []
for value in param_list[1:]:
if len(tmp_list) < 3:
tmp_list.append(value)
else:
# So far, only equals is supported by SMAC
if tmp_list[1] == '=':
# TODO maybe add a check if the hyperparameter is
# actually in the configuration space
clause_list.append(
ForbiddenEqualsClause(
configuration_space.get_hyperparameter(
tmp_list[0]), tmp_list[2]))
else:
raise NotImplementedError()
tmp_list = []
configuration_space.add_forbidden_clause(
ForbiddenAndConjunction(*clause_list))
conditions_per_child = OrderedDict()
for condition in conditions:
child_name = condition[0]
if child_name not in conditions_per_child:
conditions_per_child[child_name] = list()
conditions_per_child[child_name].append(condition)
for child_name in conditions_per_child:
for condition in conditions_per_child[child_name]:
condition = condition[2:]
condition = ' '.join(condition)
if '||' in str(condition):
ors = []
# 1st case we have a mixture of || and &&
if '&&' in str(condition):
ors_combis = []
for cond_parts in str(condition).split('||'):
condition = str(cond_parts).split('&&')
# if length is 1 it must be or
if len(condition) == 1:
element_list = condition[0].split()
ors_combis.append(
condition_specification(
child_name, element_list,
configuration_space))
else:
# now taking care of ands
ands = []
for and_part in condition:
element_list = [
element for part in condition
for element in and_part.split()
]
ands.append(
condition_specification(
child_name, element_list,
configuration_space))
ors_combis.append(AndConjunction(*ands))
mixed_conjunction = OrConjunction(*ors_combis)
configuration_space.add_condition(mixed_conjunction)
else:
# 2nd case: we only have ors
for cond_parts in str(condition).split('||'):
element_list = [
element for element in cond_parts.split()
]
ors.append(
condition_specification(child_name, element_list,
configuration_space))
or_conjunction = OrConjunction(*ors)
configuration_space.add_condition(or_conjunction)
else:
# 3rd case: we only have ands
if '&&' in str(condition):
ands = []
for cond_parts in str(condition).split('&&'):
element_list = [
element for element in cond_parts.split()
]
ands.append(
condition_specification(child_name, element_list,
configuration_space))
and_conjunction = AndConjunction(*ands)
configuration_space.add_condition(and_conjunction)
else:
# 4th case: we have a normal condition
element_list = [element for element in condition.split()]
normal_condition = condition_specification(
child_name, element_list, configuration_space)
configuration_space.add_condition(normal_condition)
return configuration_space
def read(pcs_string, debug=False):
"""
Read in a :py:class:`~ConfigSpace.configuration_space.ConfigurationSpace`
definition from a pcs file.
Example
-------
.. testsetup:: pcs_new_test
from ConfigSpace import ConfigurationSpace
import ConfigSpace.hyperparameters as CSH
from ConfigSpace.read_and_write import pcs_new
cs = ConfigurationSpace()
cs.add_hyperparameter(CSH.CategoricalHyperparameter('a', choices=[1, 2, 3]))
with open('configspace.pcs_new', 'w') as f:
f.write(pcs_new.write(cs))
.. doctest:: pcs_new_test
>>> from ConfigSpace.read_and_write import pcs_new
>>> with open('configspace.pcs_new', 'r') as fh:
... deserialized_conf = pcs_new.read(fh)
Parameters
----------
pcs_string : str
ConfigSpace definition in pcs format
debug : bool
Provides debug information. Defaults to False.
Returns
-------
:py:class:`~ConfigSpace.configuration_space.ConfigurationSpace`
The deserialized ConfigurationSpace object
"""
configuration_space = ConfigurationSpace()
conditions = []
forbidden = []
# some statistics
ct = 0
cont_ct = 0
cat_ct = 0
ord_ct = 0
line_ct = 0
for line in pcs_string:
line_ct += 1
if "#" in line:
# It contains a comment
pos = line.find("#")
line = line[:pos]
# Remove quotes and whitespaces at beginning and end
line = line.replace('"', "").replace("'", "")
line = line.strip()
if "|" in line:
# It's a condition
try:
c = pp_condition.parseString(line)
conditions.append(c)
except pyparsing.ParseException:
raise NotImplementedError("Could not parse condition: %s" %
line)
continue
if "}" not in line and "]" not in line:
continue
if line.startswith("{") and line.endswith("}"):
forbidden.append(line)
continue
if len(line.strip()) == 0:
continue
ct += 1
param = None
create = {
"int": UniformIntegerHyperparameter,
"float": UniformFloatHyperparameter,
"categorical": CategoricalHyperparameter,
"ordinal": OrdinalHyperparameter
}
try:
param_list = pp_cont_param.parseString(line)
name = param_list[0]
if param_list[1] == 'integer':
paramtype = 'int'
elif param_list[1] == 'real':
paramtype = 'float'
else:
paramtype = None
if paramtype in ['int', 'float']:
log = param_list[10:]
param_list = param_list[:10]
if len(log) > 0:
log = log[0]
lower = float(param_list[3])
upper = float(param_list[5])
log_on = True if "log" in log else False
default_value = float(param_list[8])
param = create[paramtype](name=name,
lower=lower,
upper=upper,
q=None,
log=log_on,
default_value=default_value)
cont_ct += 1
except pyparsing.ParseException:
pass
try:
if "categorical" in line:
param_list = pp_cat_param.parseString(line)
name = param_list[0]
choices = [choice for choice in param_list[3:-4:2]]
default_value = param_list[-2]
param = create["categorical"](
name=name,
choices=choices,
default_value=default_value,
)
cat_ct += 1
elif "ordinal" in line:
param_list = pp_ord_param.parseString(line)
name = param_list[0]
sequence = [seq for seq in param_list[3:-4:2]]
default_value = param_list[-2]
param = create["ordinal"](
name=name,
sequence=sequence,
default_value=default_value,
)
ord_ct += 1
except pyparsing.ParseException:
pass
if param is None:
raise NotImplementedError("Could not parse: %s" % line)
configuration_space.add_hyperparameter(param)
for clause in forbidden:
param_list = pp_forbidden_clause.parseString(clause)
tmp_list = []
clause_list = []
for value in param_list[1:]:
if len(tmp_list) < 3:
tmp_list.append(value)
else:
# So far, only equals is supported by SMAC
if tmp_list[1] == '=':
hp = configuration_space.get_hyperparameter(tmp_list[0])
if isinstance(hp, NumericalHyperparameter):
if isinstance(hp, IntegerHyperparameter):
forbidden_value = int(tmp_list[2])
elif isinstance(hp, FloatHyperparameter):
forbidden_value = float(tmp_list[2])
else:
raise NotImplementedError
if forbidden_value < hp.lower or forbidden_value > hp.upper:
raise ValueError(
f'forbidden_value is set out of the bound, it needs to'
f' be set between [{hp.lower}, {hp.upper}]'
f' but its value is {forbidden_value}')
elif isinstance(
hp,
(CategoricalHyperparameter, OrdinalHyperparameter)):
hp_values = hp.choices if isinstance(hp, CategoricalHyperparameter)\
else hp.sequence
forbidden_value_in_hp_values = tmp_list[2] in hp_values
if forbidden_value_in_hp_values:
forbidden_value = tmp_list[2]
else:
raise ValueError(
f'forbidden_value is set out of the allowed value '
f'sets, it needs to be one member from {hp_values} '
f'but its value is {forbidden_value}')
else:
raise ValueError('Unsupported Hyperparamter sorts')
clause_list.append(
ForbiddenEqualsClause(
configuration_space.get_hyperparameter(
tmp_list[0]), forbidden_value))
else:
raise NotImplementedError()
tmp_list = []
configuration_space.add_forbidden_clause(
ForbiddenAndConjunction(*clause_list))
conditions_per_child = OrderedDict()
for condition in conditions:
child_name = condition[0]
if child_name not in conditions_per_child:
conditions_per_child[child_name] = list()
conditions_per_child[child_name].append(condition)
for child_name in conditions_per_child:
for condition in conditions_per_child[child_name]:
condition = condition[2:]
condition = ' '.join(condition)
if '||' in str(condition):
ors = []
# 1st case we have a mixture of || and &&
if '&&' in str(condition):
ors_combis = []
for cond_parts in str(condition).split('||'):
condition = str(cond_parts).split('&&')
# if length is 1 it must be or
if len(condition) == 1:
element_list = condition[0].split()
ors_combis.append(
condition_specification(
child_name,
element_list,
configuration_space,
))
else:
# now taking care of ands
ands = []
for and_part in condition:
element_list = [
element for part in condition
for element in and_part.split()
]
ands.append(
condition_specification(
child_name,
element_list,
configuration_space,
))
ors_combis.append(AndConjunction(*ands))
mixed_conjunction = OrConjunction(*ors_combis)
configuration_space.add_condition(mixed_conjunction)
else:
# 2nd case: we only have ors
for cond_parts in str(condition).split('||'):
element_list = [
element for element in cond_parts.split()
]
ors.append(
condition_specification(
child_name,
element_list,
configuration_space,
))
or_conjunction = OrConjunction(*ors)
configuration_space.add_condition(or_conjunction)
else:
# 3rd case: we only have ands
if '&&' in str(condition):
ands = []
for cond_parts in str(condition).split('&&'):
element_list = [
element for element in cond_parts.split()
]
ands.append(
condition_specification(
child_name,
element_list,
configuration_space,
))
and_conjunction = AndConjunction(*ands)
configuration_space.add_condition(and_conjunction)
else:
# 4th case: we have a normal condition
element_list = [element for element in condition.split()]
normal_condition = condition_specification(
child_name,
element_list,
configuration_space,
)
configuration_space.add_condition(normal_condition)
return configuration_space
