def test_glpk_remove_variable(self):
var = self.model.variables[0]
self.assertEqual(
(self.model.constraints["M_atp_c"].expression - (
-1.0 * self.model.variables.R_ACKr - 1.0 * self.model.variables.R_ADK1 + 1.0 * self.model.variables.R_ATPS4r -
1.0 * self.model.variables.R_PGK - 1.0 * self.model.variables.R_SUCOAS - 59.81 * self.model.variables.R_Biomass_Ecoli_core_w_GAM -
1.0 * self.model.variables.R_GLNS - 1.0 * self.model.variables.R_GLNabc - 1.0 * self.model.variables.R_PFK -
1.0 * self.model.variables.R_PPCK - 1.0 * self.model.variables.R_PPS + 1.0 * self.model.variables.R_PYK -
1.0 * self.model.variables.R_ATPM
)).expand() - 0, 0
)
self.assertEqual(self.model.constraints["M_atp_c"].lb, 0)
self.assertEqual(self.model.constraints["M_atp_c"].ub, 0)
self.assertEqual(var.problem, self.model)
self.model.remove(var)
self.model.update()
self.assertEqual(
(self.model.constraints["M_atp_c"].expression - (
-1.0 * self.model.variables.R_ACKr - 1.0 * self.model.variables.R_ADK1 + 1.0 * self.model.variables.R_ATPS4r -
1.0 * self.model.variables.R_SUCOAS - 1.0 * self.model.variables.R_PGK -
1.0 * self.model.variables.R_GLNS - 1.0 * self.model.variables.R_GLNabc - 1.0 * self.model.variables.R_PFK -
1.0 * self.model.variables.R_PPCK - 1.0 * self.model.variables.R_PPS + 1.0 * self.model.variables.R_PYK -
1.0 * self.model.variables.R_ATPM
)).expand() - 0, 0
)
self.assertNotIn(var, self.model.variables.values())
self.assertEqual(glp_find_col(self.model.problem, var.name), 0)
self.assertEqual(var.problem, None)
def name(self, value):
old_name = getattr(self, "name", None)
super(Variable, Variable).name.fset(self, value)
_glpk_validate_id(value)
if getattr(self, 'problem', None) is not None:
glp_set_col_name(self.problem.problem,
glp_find_col(self.problem.problem, old_name),
str(value))
def name(self, value):
old_name = getattr(self, 'name', None)
self._name = value
if getattr(self, 'problem', None) is not None:
glp_set_col_name(self.problem.problem,
glp_find_col(self.problem.problem, old_name),
str(value))
self.problem.variables.update_key(old_name)
def name(self, value):
if len(value) > 256:
raise ValueError(
"GLPK does not support ID's longer than 256 characters")
if getattr(self, 'problem', None) is not None:
glp_set_col_name(self.problem.problem,
glp_find_col(self.problem.problem, self.name),
str(value))
super(Variable, Variable).name.fset(self, value)
def _index(self):
if self.problem is not None:
i = glp_find_col(self.problem.problem, str(self.name))
if i != 0:
return i
else:
raise IndexError(
"Could not determine column index for variable %s" % self)
else:
return None
def index(self):
if self.problem is not None:
i = glp_find_col(self.problem.problem, str(self.name))
if i != 0:
return i
else:
raise IndexError(
"Could not determine column index for variable %s" % self)
else:
return None
def test_glpk_remove_variable(self):
var = self.model.variables.values()[0]
self.assertEqual(self.model.constraints['M_atp_c'].__str__(
), 'M_atp_c: 0.0 <= -1.0*R_ACKr - 1.0*R_ADK1 + 1.0*R_ATPS4r - 1.0*R_PGK - 1.0*R_SUCOAS - 59.81*R_Biomass_Ecoli_core_w_GAM - 1.0*R_GLNS - 1.0*R_GLNabc - 1.0*R_PFK - 1.0*R_PPCK - 1.0*R_PPS + 1.0*R_PYK - 1.0*R_ATPM <= 0.0'
) # noqa: E501
self.assertEqual(var.problem, self.model)
self.model.remove(var)
self.model.update()
self.assertEqual(self.model.constraints['M_atp_c'].__str__(
), 'M_atp_c: 0.0 <= -1.0*R_ACKr - 1.0*R_ADK1 + 1.0*R_ATPS4r - 1.0*R_PGK - 1.0*R_SUCOAS - 1.0*R_GLNS - 1.0*R_GLNabc - 1.0*R_PFK - 1.0*R_PPCK - 1.0*R_PPS + 1.0*R_PYK - 1.0*R_ATPM <= 0.0'
) # noqa: E501
self.assertNotIn(var, self.model.variables.values())
self.assertEqual(glp_find_col(self.model.problem, var.name), 0)
self.assertEqual(var.problem, None)
def test_glpk_remove_variable(self):
var = self.model.variables[0]
self.assertEqual(
(self.model.constraints["M_atp_c"].expression -
(-1.0 * self.model.variables.R_ACKr - 1.0 *
self.model.variables.R_ADK1 + 1.0 * self.model.variables.R_ATPS4r
- 1.0 * self.model.variables.R_PGK -
1.0 * self.model.variables.R_SUCOAS -
59.81 * self.model.variables.R_Biomass_Ecoli_core_w_GAM - 1.0 *
self.model.variables.R_GLNS - 1.0 * self.model.variables.R_GLNabc
- 1.0 * self.model.variables.R_PFK - 1.0 *
self.model.variables.R_PPCK - 1.0 * self.model.variables.R_PPS +
1.0 * self.model.variables.R_PYK -
1.0 * self.model.variables.R_ATPM)).expand() - 0, 0)
self.assertEqual(self.model.constraints["M_atp_c"].lb, 0)
self.assertEqual(self.model.constraints["M_atp_c"].ub, 0)
self.assertEqual(var.problem, self.model)
self.model.remove(var)
self.model.update()
self.assertEqual(
(self.model.constraints["M_atp_c"].expression -
(-1.0 * self.model.variables.R_ACKr - 1.0 *
self.model.variables.R_ADK1 + 1.0 * self.model.variables.R_ATPS4r
- 1.0 * self.model.variables.R_SUCOAS - 1.0 *
self.model.variables.R_PGK - 1.0 * self.model.variables.R_GLNS -
1.0 * self.model.variables.R_GLNabc - 1.0 *
self.model.variables.R_PFK - 1.0 * self.model.variables.R_PPCK -
1.0 * self.model.variables.R_PPS +
1.0 * self.model.variables.R_PYK -
1.0 * self.model.variables.R_ATPM)).expand() - 0, 0)
self.assertNotIn(var, self.model.variables.values())
self.assertEqual(glp_find_col(self.model.problem, var.name), 0)
self.assertEqual(var.problem, None)
def name(self, value):
if getattr(self, 'problem', None) is not None:
glp_set_col_name(self.problem.problem,
glp_find_col(self.problem.problem, self.name),
str(value))
super(Variable, Variable).name.fset(self, value)
def name(self, value):
old_name = getattr(self, 'name', None)
self._name = value
if getattr(self, 'problem', None) is not None:
glp_set_col_name(self.problem.problem, glp_find_col(self.problem.problem, old_name), str(value))
self.problem.variables.update_key(old_name)
def name(self, value):
if getattr(self, 'problem', None) is not None:
glp_set_col_name(self.problem.problem, glp_find_col(self.problem.problem, self.name), str(value))
super(Variable, Variable).name.fset(self, value)
def name(self, value):
old_name = getattr(self, "name", None)
super(Variable, Variable).name.fset(self, value)
_glpk_validate_id(value)
if getattr(self, 'problem', None) is not None:
glp_set_col_name(self.problem.problem, glp_find_col(self.problem.problem, old_name), str(value))
