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more stricter renaming in swig files to follow language naming convention

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lperron@google.com
2012-01-21 17:15:03 +00:00
parent 1a05d382dd
commit ddae0d3014
153 changed files with 1392 additions and 1354 deletions
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16
python/linear_programming.py
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@@ -25,7 +25,7 @@ def RunLinearExampleNaturalLanguageAPI(optimization_problem_type):
"""Example of simple linear program with natural language API."""
solver = pywraplp.Solver('RunLinearExampleNaturalLanguageAPI',
optimization_problem_type)
infinity = solver.infinity()
infinity = solver.Infinity()
# x1, x2 and x3 are continuous non-negative variables.
x1 = solver.NumVar(0.0, infinity, 'x1')
x2 = solver.NumVar(0.0, infinity, 'x2')
@@ -45,7 +45,7 @@ def RunLinearExampleCppStyleAPI(optimization_problem_type):
"""Example of simple linear program with the C++ style API."""
solver = pywraplp.Solver('RunLinearExampleCppStyle',
optimization_problem_type)
infinity = solver.infinity()
infinity = solver.Infinity()
# x1, x2 and x3 are continuous non-negative variables.
x1 = solver.NumVar(0.0, infinity, 'x1')
x2 = solver.NumVar(0.0, infinity, 'x2')
@@ -88,23 +88,23 @@ def SolveAndPrint(solver, variable_list, constraint_list):
# The problem has an optimal solution.
assert result_status == pywraplp.Solver.OPTIMAL
print 'Problem solved in %f milliseconds' % solver.wall_time()
print 'Problem solved in %f milliseconds' % solver.WallTime()
# The objective value of the solution.
print 'Optimal objective value = %f' % solver.objective_value()
print 'Optimal objective value = %f' % solver.ObjectiveValue()
# The value of each variable in the solution.
for variable in variable_list:
print '%s = %f' % (variable.name(), variable.solution_value())
print '%s = %f' % (variable.name(), variable.SolutionValue())
print 'Advanced usage:'
print 'Problem solved in %d iterations' % solver.iterations()
print 'Problem solved in %d iterations' % solver.Iterations()
for variable in variable_list:
print '%s: reduced cost = %f' % (variable.name(), variable.reduced_cost())
print '%s: reduced cost = %f' % (variable.name(), variable.ReducedCost())
for i, constraint in enumerate(constraint_list):
print ('constraint %d: dual value = %f\n'
' activity = %f' %
(i, constraint.dual_value(), constraint.activity()))
(i, constraint.DualValue(), constraint.Activity()))
def Announce(solver, api_type):