Skip to content
GitLab
Commit f313f4a2 authored by Marco Selig's avatar Marco Selig
Browse files

glitches fixed; callable spec and implicit power indexing fully operational.

parent 2f6d4a97
Hide whitespace changes
Inline Side-by-side
nifty_core.py
View file @ f313f4a2
......@@ -700,27 +700,39 @@ class random(object):
return [key,mean,dev,var]
elif(key=="syn"):
size = kwargs.get("size",None)
kpack = None
## explicit power indices
if("pindex" in kwargs)and("kindex" in kwargs):
kpack = [kwargs.get("pindex"),kwargs.get("kindex")]
size = len(kpack[1])
else:
kindex = kwargs.get("kindex")
if(kindex is None):
spec = domain.enforce_power(kwargs.get("spec",1),size=kwargs.get("size",None))
kpack = None
else:
spec = domain.enforce_power(kwargs.get("spec",1),size=len(kindex),kindex=kindex)
pindex = kwargs.get("pindex",None)
if(pindex is None):
kpack = None
else:
kpack = [pindex,kindex]
## implicit power indices
else:
try:
domain.set_power_indices(**kwargs)
except:
if("codomain" in kwargs):
codomain = kwargs.get("codomain")
codomain = kwargs.get("codomain",None)
if(codomain is None):
spec = domain.enforce_power(kwargs.get("spec",1),size=kwargs.get("size",None))
kpack = None
else:
domain.check_codomain(codomain)
codomain.set_power_indices(**kwargs)
kpack = [codomain.power_indices.get("pindex"),codomain.power_indices.get("kindex")]
size = len(kpack[1])
kindex = codomain.power_indices.get("kindex")
spec = domain.enforce_power(kwargs.get("spec",1),size=len(kindex),kindex=kindex,codomain=codomain)
kpack = [codomain.power_indices.get("pindex"),kindex]
else:
kpack = [domain.power_indixes.get("pindex"),domain.power_indixes.get("kindex")]
size = len(kpack[1])
return [key,domain.enforce_power(kwargs.get("spec",1),size=size),kpack]
kindex = domain.power_indixes.get("kindex")
spec = domain.enforce_power(kwargs.get("spec",1),size=len(kindex),kindex=kindex)
kpack = [domain.power_indixes.get("pindex"),kindex]
return [key,spec,kpack]
elif(key=="uni"):
if("vmin" in kwargs):
......@@ -2386,21 +2398,21 @@ class rg_space(space):
if(size is None)or(callable(spec)):
## explicit kindex
if("kindex" in kwargs):
kindex = kwargs.get("kindex")
## quick kindex
elif(self.fourier)and(not hasattr(self,"power_indices"))and(len(kwargs)==0):
kindex = gp.nklength(gp.nkdict(self.para[:(np.size(self.para)-1)//2],self.vol,fourier=True))
## implicit kindex
else:
try:
self.set_power_indices(**kwargs)
except:
codomain = kwargs.get("codomain",self.get_codomain())
codomain.set_power_indices(**kwargs)
kindex = codomain.power_indices.get("kindex")
kindex = kwargs.get("kindex",None)
if(kindex is None):
## quick kindex
if(self.fourier)and(not hasattr(self,"power_indices"))and(len(kwargs)==0):
kindex = gp.nklength(gp.nkdict(self.para[:(np.size(self.para)-1)//2],self.vol,fourier=True))
## implicit kindex
else:
kindex = self.power_indices.get("kindex")
try:
self.set_power_indices(**kwargs)
except:
codomain = kwargs.get("codomain",self.get_codomain())
codomain.set_power_indices(**kwargs)
kindex = codomain.power_indices.get("kindex")
else:
kindex = self.power_indices.get("kindex")
size = len(kindex)
if(isinstance(spec,field)):
......@@ -2954,17 +2966,20 @@ class rg_space(space):
Smoothed array.
"""
x = self.enforce_shape(np.array(x,dtype=self.datatype))
naxes = (np.size(self.para)-1)//2
## check sigma
if(sigma==0):
return x
elif(sigma==-1):
about.infos.cprint("INFO: invalid sigma reset.")
sigma = 1.5*np.max(self.vol) ## sqrt(2)*max(dist)
if(self.fourier):
sigma = 1.5/np.min(self.para[:naxes]*self.vol) ## sqrt(2)*max(dist)
else:
sigma = 1.5*np.max(self.vol) ## sqrt(2)*max(dist)
elif(sigma<0):
raise ValueError(about._errors.cstring("ERROR: invalid sigma."))
## smooth
naxes = (np.size(self.para)-1)//2
Gx = gs.smooth_field(x,self.fourier,self.para[-naxes:].astype(np.bool).tolist(),bool(self.para[naxes]==1),self.vol,smooth_length=sigma)
## check complexity
if(not self.para[naxes]): ## purely real
......@@ -3025,10 +3040,9 @@ class rg_space(space):
if(not self.fourier):
x = self.calc_weight(x,power=1)
## explicit power indices
if("pindex" in kwargs)and("kindex" in kwargs)and("rho" in kwargs):
pindex,kindex,rho = kwargs.get("pindex"),kwargs.get("kindex"),kwargs.get("rho")
else:
pindex,kindex,rho = kwargs.get("pindex",None),kwargs.get("kindex",None),kwargs.get("rho",None)
## implicit power indices
if(pindex is None)or(kindex is None)or(rho is None):
try:
self.set_power_indices(**kwargs)
except:
......@@ -3121,10 +3135,9 @@ class rg_space(space):
ax0 = fig.add_axes([0.12,0.12,0.82,0.76])
## explicit kindex
if("kindex" in kwargs):
xaxes = kwargs.get("kindex")
xaxes = kwargs.get("kindex",None)
## implicit kindex
else:
if(xaxes is None):
try:
self.set_power_indices(**kwargs)
except:
......@@ -3151,11 +3164,11 @@ class rg_space(space):
if(isinstance(other[ii],field)):
other[ii] = other[ii].power(**kwargs)
else:
other[ii] = self.enforce_power(other[ii],size=np.size(xaxes))
other[ii] = self.enforce_power(other[ii],size=np.size(xaxes),kindex=xaxes)
elif(isinstance(other,field)):
other = [other.power(**kwargs)]
else:
other = [self.enforce_power(other,size=np.size(xaxes))]
other = [self.enforce_power(other,size=np.size(xaxes),kindex=xaxes)]
imax = max(1,len(other)-1)
for ii in range(len(other)):
ax0.loglog(xaxes[1:],(xaxes**norm*other[ii])[1:],color=[max(0.0,1.0-(2*ii/imax)**2),0.5*((2*ii-imax)/imax)**2,max(0.0,1.0-(2*(ii-imax)/imax)**2)],label="graph "+str(ii+1),linestyle='-',linewidth=1.0,zorder=-ii)
......
Supports Markdown
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment