from pandas import Series, DataFrame
from minpower.config import user_config
from minpower import powersystems, schedule, solve
from minpower.generators import Generator
from minpower.optimization import value, OptimizationError
import nose
from nose.tools import istest, with_setup, raises, set_trace
from nose.tools import eq_ as assert_equal
import logging
logging.basicConfig(level=logging.CRITICAL,
format='%(levelname)s: %(message)s')
default_config = user_config.copy()
def get_duals():
user_config.duals = True
def reset_config():
# note - can't set a new user_config, because it would be a local variable
# instead, we update it with the defaults
# this only works if we aren't adding anything extra to the user_config
user_config.update(default_config)
try:
assert (user_config == default_config)
except:
print DataFrame(
dict(config=Series(user_config), default=Series(default_config)))
from minpower import powersystems, schedule, solve
from minpower.generators import Generator
from minpower.optimization import value, OptimizationError
import nose
from nose.tools import istest, with_setup, raises, set_trace
from nose.tools import eq_ as assert_equal
import logging
logging.basicConfig(
level=logging.CRITICAL,
format='%(levelname)s: %(message)s')
default_config = user_config.copy()
def get_duals():
user_config.duals = True
def reset_config():
# note - can't set a new user_config, because it would be a local variable
# instead, we update it with the defaults
# this only works if we aren't adding anything extra to the user_config
user_config.update(default_config)
try:
assert(user_config == default_config)
except:
print DataFrame(dict(