def initfun_fixedlen(cls, f, n, domain=None):
nn = np.array(n)
if nn.size < 2:
funs = generate_funs(domain, Bndfun.initfun_fixedlen, {
'f': f,
'n': n
})
else:
domain = Domain(domain if domain is not None else prefs.domain)
if not nn.size == domain.size - 1: raise BadFunLengthArgument
funs = []
for interval, length in zip(domain.intervals, nn):
funs.append(Bndfun.initfun_fixedlen(f, interval, length))
return cls(funs)
def initfun_adaptive(cls, f, domain=DefaultPrefs.domain):
funs = generate_funs(domain, Bndfun.initfun_adaptive, [f])
return cls(funs)
def initidentity(cls, domain=DefaultPrefs.domain):
funs = generate_funs(domain, Bndfun.initidentity)
return cls(funs)
def initconst(cls, c, domain=DefaultPrefs.domain):
funs = generate_funs(domain, Bndfun.initconst, [c])
return cls(funs)
def initfun_adaptive(cls, f, domain=DefaultPrefs.domain):
funs = generate_funs(domain, Bndfun.initfun_adaptive, [f])
return cls(funs)
def initidentity(cls, domain=DefaultPrefs.domain):
funs = generate_funs(domain, Bndfun.initidentity)
return cls(funs)
def initconst(cls, c, domain=DefaultPrefs.domain):
funs = generate_funs(domain, Bndfun.initconst, [c])
return cls(funs)
def initfun_adaptive(cls, f, domain=None):
domain = domain if domain is not None else prefs.domain
funs = generate_funs(domain, Bndfun.initfun_adaptive, [f])
return cls(funs)
def initidentity(cls, domain=None):
domain = domain if domain is not None else prefs.domain
funs = generate_funs(domain, Bndfun.initidentity)
return cls(funs)
def initconst(cls, c, domain=None):
domain = domain if domain is not None else prefs.domain
funs = generate_funs(domain, Bndfun.initconst, [c])
return cls(funs)
def initfun_adaptive(cls, f, domain=None):
return cls(generate_funs(domain, Bndfun.initfun_adaptive, {'f': f}))
def initconst(cls, c, domain=None):
return cls(generate_funs(domain, Bndfun.initconst, {'c': c}))
def initidentity(cls, domain=None):
return cls(generate_funs(domain, Bndfun.initidentity))