def __init__(self, # state instance
var_dict, # Dictionary that will hold variable instances
vis): # mayavi visualization instance
import eos
self.EOS = eos.ideal() # Methods for EOS constraints
self.var_dict = var_dict
self.vis = vis
self.vis.curve = None
self.curve_data = []
self.dispatch = { # Map GUI actions to methods
#(Moved, constant): Method,
('v', 'P'): self.vP,
('E', 'P'): self.EP,
('P', 'v'): self.vP,
('E', 'v'): self.Ev,
('P', 'E'): self.EP,
('v', 'E'): self.Ev,
('P', 'S'): self.PS,
('v', 'S'): self.vS,
('E', 'S'): self.ES
}
def __init__(
self, var_dict, vis # state instance # Dictionary that will hold variable instances
): # mayavi visualization instance
import eos
self.EOS = eos.ideal() # Methods for EOS constraints
self.var_dict = var_dict
self.vis = vis
self.vis.curve = None
self.curve_data = []
self.dispatch = { # Map GUI actions to methods
# (Moved, constant): Method,
("v", "P"): self.vP,
("E", "P"): self.EP,
("P", "v"): self.vP,
("E", "v"): self.Ev,
("P", "E"): self.EP,
("v", "E"): self.Ev,
("P", "S"): self.PS,
("v", "S"): self.vS,
("E", "S"): self.ES,
}
def __init__(self # Visualization
):
""" Calculate three 2-d arrays of values to describe EOS
surface and put the surface into self.scene
"""
import numpy as np
import eos
EOS = eos.ideal()
TA.HasTraits.__init__(self)
P, v = np.mgrid[1e10:4e10:20j, 1e-6:4e-6:20j]
P = P.T
v = v.T
E = np.empty(v.shape)
n_i,n_j = v.shape
for i in range(n_i):
for j in range(n_j):
E[i,j] = EOS.Pv2E(P[i,j],v[i,j])
self.ranges = []
for a in (P,v,E):
self.ranges += [a.min(),a.max()]
scale = lambda z: (z-z.min())/(z.max()-z.min())
ML.mesh(scale(P),scale(v),scale(E),figure=self.scene.mayavi_scene)
self.flag = False
def __init__(self # Visualization
):
""" Calculate three 2-d arrays of values to describe EOS
surface and put the surface into self.scene
"""
import numpy as np
import eos
EOS = eos.ideal()
TA.HasTraits.__init__(self)
P, v = np.mgrid[1e10:4e10:20j, 1e-6:4e-6:20j]
P = P.T
v = v.T
E = np.empty(v.shape)
n_i, n_j = v.shape
for i in range(n_i):
for j in range(n_j):
E[i, j] = EOS.Pv2E(P[i, j], v[i, j])
self.ranges = []
for a in (P, v, E):
self.ranges += [a.min(), a.max()]
scale = lambda z: (z - z.min()) / (z.max() - z.min())
ML.mesh(scale(P), scale(v), scale(E), figure=self.scene.mayavi_scene)
self.flag = False
def ideal_eos(self,): # state instance
import eos
self.EOS = eos.ideal()
def ideal_eos(self, # state instance
):
import eos
self.EOS = eos.ideal()
