def canonical_form(self, compute_values=True):
"""Build a canonical representation of the body of
this constraints"""
from pyomo.repn.standard_repn import \
StandardRepn
variables = []
coefficients = []
constant = 0
for v, c in self.terms:
if v.is_expression_type():
v = v.expr
if not v.fixed:
variables.append(v)
if compute_values:
coefficients.append(value(c))
else:
coefficients.append(c)
else:
if compute_values:
constant += value(c) * v()
else:
constant += c * v
repn = StandardRepn()
repn.linear_vars = tuple(variables)
repn.linear_coefs = tuple(coefficients)
repn.constant = constant
return repn
def canonical_form(self, compute_values=True):
"""Build a canonical representation of the body of
this constraints"""
comp = self.parent_component()
index = self._index
data = comp._A_data
indices = comp._A_indices
indptr = comp._A_indptr
x = comp._x
variables = []
coefficients = []
constant = 0
for p in xrange(indptr[index], indptr[index + 1]):
v = x[indices[p]]
c = data[p]
if not v.fixed:
variables.append(v)
if compute_values:
coefficients.append(value(c))
else:
coefficients.append(c)
else:
if compute_values:
constant += value(c) * v.value
else:
constant += c * v
repn = StandardRepn()
repn.linear_vars = tuple(variables)
repn.linear_coefs = tuple(coefficients)
repn.constant = constant
return repn
def canonical_form(self, compute_values=True):
"""Build a canonical representation of the body of
this constraints"""
from pyomo.repn.standard_repn import \
StandardRepn
variables = []
coefficients = []
constant = 0
for v, c in self.terms:
if v.is_expression_type():
v = v.expr
if not v.fixed:
variables.append(v)
if compute_values:
coefficients.append(value(c))
else:
coefficients.append(c)
else:
if compute_values:
constant += value(c) * v()
else:
constant += c * v
repn = StandardRepn()
repn.linear_vars = tuple(variables)
repn.linear_coefs = tuple(coefficients)
repn.constant = constant
return repn
def canonical_form(self, compute_values=True):
"""Build a canonical representation of the body of
this constraints"""
from pyomo.repn.standard_repn import StandardRepn
variables = []
coefficients = []
constant = 0
for v, c in self.terms:
# we call float to get rid of the numpy type
c = float(c)
if not v.fixed:
variables.append(v)
coefficients.append(c)
else:
if compute_values:
constant += c * v()
else:
constant += c * v
repn = StandardRepn()
repn.linear_vars = tuple(variables)
repn.linear_coefs = tuple(coefficients)
repn.constant = constant
return repn
def canonical_form(self, compute_values=True):
"""Build a canonical representation of the body of
this constraints"""
from pyomo.repn.standard_repn import StandardRepn
variables = []
coefficients = []
constant = 0
for v, c in self.terms:
# we call float to get rid of the numpy type
c = float(c)
if not v.fixed:
variables.append(v)
coefficients.append(c)
else:
if compute_values:
constant += c * v()
else:
constant += c * v
repn = StandardRepn()
repn.linear_vars = tuple(variables)
repn.linear_coefs = tuple(coefficients)
repn.constant = constant
return repn