def __init__(self,
memory=10,
delay=0.001,
plot_initial=True,
plot_improvements_only=False,
ax=None,
legendloc=1):
"""Initialize component for plotting turbine locations
Parameters
----------
memory : int, optional
Number of previous iterations to remember
delay : float, optional
Time delay in seconds between plotting updates
plot_initial : bool, optional
Flag to plot the initial turbine locations
plot_improvements_only : bool, optional
Flag to plot only improvements in cost
ax : matplotlib axes, optional
Axes into which to make the plot
legendloc : int
Location of the legend in the plot
"""
ExplicitComponent.__init__(self)
self.delay = delay
self.plot_improvements_only = plot_improvements_only
self._ax = ax
self.memory = memory
self.delay = max([delay, 1e-6])
self.plot_initial = plot_initial
self.history = []
self.counter = 0
self.by_pass = False
self.legendloc = legendloc
def __init__(self, n_wt, xy_boundary=None, z_boundary=None, **kwargs):
sys.stderr.write(
"%s is deprecated. Use BoundaryConstraint from topfarm.constraint_components.boundary instead\n"
% self.__class__.__name__)
ExplicitComponent.__init__(self, **kwargs)
self.n_wt = n_wt
if xy_boundary is None:
self.xy_boundary = np.zeros((0, 2))
else:
self.xy_boundary = np.array(xy_boundary)
if z_boundary is None:
z_boundary = []
if len(z_boundary) > 0:
z_boundary = np.asarray(z_boundary)
assert z_boundary.shape[-1] == 2
if len(z_boundary.shape) == 1:
z_boundary = np.zeros((self.n_wt, 2)) + [z_boundary]
assert z_boundary.shape == (self.n_wt, 2)
assert np.all(z_boundary[:, 0] < z_boundary[:, 1])
self.z_boundary = z_boundary
def __init__(self, problem):
ExplicitComponent.__init__(self)
self.problem = problem
def __init__(self, problem, additional_inputs=[]):
ExplicitComponent.__init__(self)
self.problem = problem
self.additional_inputs = additional_inputs
