/
numba_overloads.py
1571 lines (1182 loc) · 56.8 KB
/
numba_overloads.py
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import ctypes
import numba
import scipy.special as sc
from . import function_pointers
bytes_to_int_type = {
2: numba.types.int16,
4: numba.types.int32,
8: numba.types.int64
}
numba_long = bytes_to_int_type[ctypes.sizeof(ctypes.c_long)]
functions = {
'agm': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'bdtr[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'bdtr[long]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_long, ctypes.c_double),
'bdtrc[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'bdtrc[long]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_long, ctypes.c_double),
'bdtri[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'bdtri[long]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_long, ctypes.c_double),
'bdtrik': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'bdtrin': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'bei': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'beip': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'ber': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'berp': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'besselpoly': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'beta': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'betainc': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'betaincinv': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'betaln': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'binom': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'boxcox': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'boxcox1p': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'btdtr': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'btdtri': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'btdtria': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'btdtrib': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'cbrt': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'chdtr': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'chdtrc': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'chdtri': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'chdtriv': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'chndtr': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'chndtridf': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'chndtrinc': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'chndtrix': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'cosdg': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'cosm1': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'cotdg': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'dawsn[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'ellipe': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'ellipeinc': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'ellipkinc': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'ellipkm1': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'entr': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'erf[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'erfc[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'erfcx[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'erfi[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'eval_chebyc[double, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'eval_chebyc[long, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'eval_chebys[double, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'eval_chebys[long, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'eval_chebyt[double, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'eval_chebyt[long, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'eval_chebyu[double, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'eval_chebyu[long, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'eval_gegenbauer[double, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'eval_gegenbauer[long, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double, ctypes.c_double),
'eval_genlaguerre[double, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'eval_genlaguerre[long, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double, ctypes.c_double),
'eval_hermite': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'eval_hermitenorm': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'eval_jacobi[double, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'eval_jacobi[long, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'eval_laguerre[double, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'eval_laguerre[long, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'eval_legendre[double, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'eval_legendre[long, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'eval_sh_chebyt[double, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'eval_sh_chebyt[long, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'eval_sh_chebyu[double, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'eval_sh_chebyu[long, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'eval_sh_jacobi[double, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'eval_sh_jacobi[long, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'eval_sh_legendre[double, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'eval_sh_legendre[long, double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'exp1[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'exp10': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'exp2': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'expi[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'expit[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'expit[float]': ctypes.CFUNCTYPE(ctypes.c_float, ctypes.c_float),
'expm1[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'expn[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'expn[long]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'exprel': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'fdtr': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'fdtrc': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'fdtri': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'fdtridfd': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'gamma[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'gammainc': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'gammaincc': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'gammainccinv': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'gammaincinv': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'gammaln': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'gammasgn': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'gdtr': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'gdtrc': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'gdtria': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'gdtrib': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'gdtrix': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'huber': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'hyp0f1[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'hyp1f1[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'hyp2f1[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'hyperu': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'i0': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'i0e': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'i1': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'i1e': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'inv_boxcox': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'inv_boxcox1p': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'it2struve0': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'itmodstruve0': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'itstruve0': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'iv[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'ive[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'j0': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'j1': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'jv[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'jve[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'k0': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'k0e': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'k1': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'k1e': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'kei': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'keip': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'ker': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'kerp': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'kl_div': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'kn[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'kn[long]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'kolmogi': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'kolmogorov': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'kv[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'kve[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'log1p[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'log_ndtr[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'loggamma[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'logit[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'logit[float]': ctypes.CFUNCTYPE(ctypes.c_float, ctypes.c_float),
'lpmv': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'mathieu_a': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'mathieu_b': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'modstruve': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'nbdtr[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'nbdtr[long]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_long, ctypes.c_double),
'nbdtrc[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'nbdtrc[long]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_long, ctypes.c_double),
'nbdtri[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'nbdtri[long]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_long, ctypes.c_double),
'nbdtrik': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'nbdtrin': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'ncfdtr': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'ncfdtri': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'ncfdtridfd': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'ncfdtridfn': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'ncfdtrinc': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'nctdtr': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'nctdtridf': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'nctdtrinc': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'nctdtrit': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'ndtr[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'ndtri': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'nrdtrimn': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'nrdtrisd': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'obl_cv': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'owens_t': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'pdtr[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'pdtr[long]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'pdtrc[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'pdtrc[long]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'pdtri[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'pdtri[long]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'pdtrik': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'poch': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'pro_cv': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'pseudo_huber': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'psi[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'radian': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double, ctypes.c_double),
'rel_entr': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'rgamma[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'round': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'sindg': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'smirnov[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'smirnov[long]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'smirnovi[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'smirnovi[long]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'spence[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'stdtr': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'stdtridf': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'stdtrit': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'struve': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'tandg': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'tklmbda': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'xlog1py[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'xlogy[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'y0': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'y1': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double),
'yn[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'yn[long]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_long, ctypes.c_double),
'yv[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'yve[double]': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double, ctypes.c_double),
'zetac': ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_double)
}
def get_scalar_function(name):
signature = functions[name]
pointer = function_pointers.functions[name]
return signature(pointer)
@numba.extending.overload(sc.agm)
def agm(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('agm')
return lambda *args: f(*args)
@numba.extending.overload(sc.bdtr)
def bdtr(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('bdtr[double]')
return lambda *args: f(*args)
if args == (numba_long, numba_long, numba.types.float64,):
f = get_scalar_function('bdtr[long]')
return lambda *args: f(*args)
@numba.extending.overload(sc.bdtrc)
def bdtrc(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('bdtrc[double]')
return lambda *args: f(*args)
if args == (numba_long, numba_long, numba.types.float64,):
f = get_scalar_function('bdtrc[long]')
return lambda *args: f(*args)
@numba.extending.overload(sc.bdtri)
def bdtri(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('bdtri[double]')
return lambda *args: f(*args)
if args == (numba_long, numba_long, numba.types.float64,):
f = get_scalar_function('bdtri[long]')
return lambda *args: f(*args)
@numba.extending.overload(sc.bdtrik)
def bdtrik(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('bdtrik')
return lambda *args: f(*args)
@numba.extending.overload(sc.bdtrin)
def bdtrin(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('bdtrin')
return lambda *args: f(*args)
@numba.extending.overload(sc.bei)
def bei(*args):
if args == (numba.types.float64,):
f = get_scalar_function('bei')
return lambda *args: f(*args)
@numba.extending.overload(sc.beip)
def beip(*args):
if args == (numba.types.float64,):
f = get_scalar_function('beip')
return lambda *args: f(*args)
@numba.extending.overload(sc.ber)
def ber(*args):
if args == (numba.types.float64,):
f = get_scalar_function('ber')
return lambda *args: f(*args)
@numba.extending.overload(sc.berp)
def berp(*args):
if args == (numba.types.float64,):
f = get_scalar_function('berp')
return lambda *args: f(*args)
@numba.extending.overload(sc.besselpoly)
def besselpoly(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('besselpoly')
return lambda *args: f(*args)
@numba.extending.overload(sc.beta)
def beta(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('beta')
return lambda *args: f(*args)
@numba.extending.overload(sc.betainc)
def betainc(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('betainc')
return lambda *args: f(*args)
@numba.extending.overload(sc.betaincinv)
def betaincinv(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('betaincinv')
return lambda *args: f(*args)
@numba.extending.overload(sc.betaln)
def betaln(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('betaln')
return lambda *args: f(*args)
@numba.extending.overload(sc.binom)
def binom(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('binom')
return lambda *args: f(*args)
@numba.extending.overload(sc.boxcox)
def boxcox(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('boxcox')
return lambda *args: f(*args)
@numba.extending.overload(sc.boxcox1p)
def boxcox1p(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('boxcox1p')
return lambda *args: f(*args)
@numba.extending.overload(sc.btdtr)
def btdtr(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('btdtr')
return lambda *args: f(*args)
@numba.extending.overload(sc.btdtri)
def btdtri(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('btdtri')
return lambda *args: f(*args)
@numba.extending.overload(sc.btdtria)
def btdtria(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('btdtria')
return lambda *args: f(*args)
@numba.extending.overload(sc.btdtrib)
def btdtrib(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('btdtrib')
return lambda *args: f(*args)
@numba.extending.overload(sc.cbrt)
def cbrt(*args):
if args == (numba.types.float64,):
f = get_scalar_function('cbrt')
return lambda *args: f(*args)
@numba.extending.overload(sc.chdtr)
def chdtr(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('chdtr')
return lambda *args: f(*args)
@numba.extending.overload(sc.chdtrc)
def chdtrc(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('chdtrc')
return lambda *args: f(*args)
@numba.extending.overload(sc.chdtri)
def chdtri(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('chdtri')
return lambda *args: f(*args)
@numba.extending.overload(sc.chdtriv)
def chdtriv(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('chdtriv')
return lambda *args: f(*args)
@numba.extending.overload(sc.chndtr)
def chndtr(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('chndtr')
return lambda *args: f(*args)
@numba.extending.overload(sc.chndtridf)
def chndtridf(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('chndtridf')
return lambda *args: f(*args)
@numba.extending.overload(sc.chndtrinc)
def chndtrinc(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('chndtrinc')
return lambda *args: f(*args)
@numba.extending.overload(sc.chndtrix)
def chndtrix(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('chndtrix')
return lambda *args: f(*args)
@numba.extending.overload(sc.cosdg)
def cosdg(*args):
if args == (numba.types.float64,):
f = get_scalar_function('cosdg')
return lambda *args: f(*args)
@numba.extending.overload(sc.cosm1)
def cosm1(*args):
if args == (numba.types.float64,):
f = get_scalar_function('cosm1')
return lambda *args: f(*args)
@numba.extending.overload(sc.cotdg)
def cotdg(*args):
if args == (numba.types.float64,):
f = get_scalar_function('cotdg')
return lambda *args: f(*args)
@numba.extending.overload(sc.dawsn)
def dawsn(*args):
if args == (numba.types.float64,):
f = get_scalar_function('dawsn[double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.ellipe)
def ellipe(*args):
if args == (numba.types.float64,):
f = get_scalar_function('ellipe')
return lambda *args: f(*args)
@numba.extending.overload(sc.ellipeinc)
def ellipeinc(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('ellipeinc')
return lambda *args: f(*args)
@numba.extending.overload(sc.ellipkinc)
def ellipkinc(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('ellipkinc')
return lambda *args: f(*args)
@numba.extending.overload(sc.ellipkm1)
def ellipkm1(*args):
if args == (numba.types.float64,):
f = get_scalar_function('ellipkm1')
return lambda *args: f(*args)
@numba.extending.overload(sc.entr)
def entr(*args):
if args == (numba.types.float64,):
f = get_scalar_function('entr')
return lambda *args: f(*args)
@numba.extending.overload(sc.erf)
def erf(*args):
if args == (numba.types.float64,):
f = get_scalar_function('erf[double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.erfc)
def erfc(*args):
if args == (numba.types.float64,):
f = get_scalar_function('erfc[double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.erfcx)
def erfcx(*args):
if args == (numba.types.float64,):
f = get_scalar_function('erfcx[double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.erfi)
def erfi(*args):
if args == (numba.types.float64,):
f = get_scalar_function('erfi[double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.eval_chebyc)
def eval_chebyc(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_chebyc[double, double]')
return lambda *args: f(*args)
if args == (numba_long, numba.types.float64,):
f = get_scalar_function('eval_chebyc[long, double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.eval_chebys)
def eval_chebys(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_chebys[double, double]')
return lambda *args: f(*args)
if args == (numba_long, numba.types.float64,):
f = get_scalar_function('eval_chebys[long, double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.eval_chebyt)
def eval_chebyt(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_chebyt[double, double]')
return lambda *args: f(*args)
if args == (numba_long, numba.types.float64,):
f = get_scalar_function('eval_chebyt[long, double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.eval_chebyu)
def eval_chebyu(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_chebyu[double, double]')
return lambda *args: f(*args)
if args == (numba_long, numba.types.float64,):
f = get_scalar_function('eval_chebyu[long, double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.eval_gegenbauer)
def eval_gegenbauer(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_gegenbauer[double, double]')
return lambda *args: f(*args)
if args == (numba_long, numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_gegenbauer[long, double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.eval_genlaguerre)
def eval_genlaguerre(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_genlaguerre[double, double]')
return lambda *args: f(*args)
if args == (numba_long, numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_genlaguerre[long, double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.eval_hermite)
def eval_hermite(*args):
if args == (numba_long, numba.types.float64,):
f = get_scalar_function('eval_hermite')
return lambda *args: f(*args)
@numba.extending.overload(sc.eval_hermitenorm)
def eval_hermitenorm(*args):
if args == (numba_long, numba.types.float64,):
f = get_scalar_function('eval_hermitenorm')
return lambda *args: f(*args)
@numba.extending.overload(sc.eval_jacobi)
def eval_jacobi(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_jacobi[double, double]')
return lambda *args: f(*args)
if args == (numba_long, numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_jacobi[long, double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.eval_laguerre)
def eval_laguerre(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_laguerre[double, double]')
return lambda *args: f(*args)
if args == (numba_long, numba.types.float64,):
f = get_scalar_function('eval_laguerre[long, double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.eval_legendre)
def eval_legendre(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_legendre[double, double]')
return lambda *args: f(*args)
if args == (numba_long, numba.types.float64,):
f = get_scalar_function('eval_legendre[long, double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.eval_sh_chebyt)
def eval_sh_chebyt(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_sh_chebyt[double, double]')
return lambda *args: f(*args)
if args == (numba_long, numba.types.float64,):
f = get_scalar_function('eval_sh_chebyt[long, double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.eval_sh_chebyu)
def eval_sh_chebyu(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_sh_chebyu[double, double]')
return lambda *args: f(*args)
if args == (numba_long, numba.types.float64,):
f = get_scalar_function('eval_sh_chebyu[long, double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.eval_sh_jacobi)
def eval_sh_jacobi(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_sh_jacobi[double, double]')
return lambda *args: f(*args)
if args == (numba_long, numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_sh_jacobi[long, double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.eval_sh_legendre)
def eval_sh_legendre(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('eval_sh_legendre[double, double]')
return lambda *args: f(*args)
if args == (numba_long, numba.types.float64,):
f = get_scalar_function('eval_sh_legendre[long, double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.exp1)
def exp1(*args):
if args == (numba.types.float64,):
f = get_scalar_function('exp1[double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.exp10)
def exp10(*args):
if args == (numba.types.float64,):
f = get_scalar_function('exp10')
return lambda *args: f(*args)
@numba.extending.overload(sc.exp2)
def exp2(*args):
if args == (numba.types.float64,):
f = get_scalar_function('exp2')
return lambda *args: f(*args)
@numba.extending.overload(sc.expi)
def expi(*args):
if args == (numba.types.float64,):
f = get_scalar_function('expi[double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.expit)
def expit(*args):
if args == (numba.types.float64,):
f = get_scalar_function('expit[double]')
return lambda *args: f(*args)
if args == (numba.types.float32,):
f = get_scalar_function('expit[float]')
return lambda *args: f(*args)
@numba.extending.overload(sc.expm1)
def expm1(*args):
if args == (numba.types.float64,):
f = get_scalar_function('expm1[double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.expn)
def expn(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('expn[double]')
return lambda *args: f(*args)
if args == (numba_long, numba.types.float64,):
f = get_scalar_function('expn[long]')
return lambda *args: f(*args)
@numba.extending.overload(sc.exprel)
def exprel(*args):
if args == (numba.types.float64,):
f = get_scalar_function('exprel')
return lambda *args: f(*args)
@numba.extending.overload(sc.fdtr)
def fdtr(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('fdtr')
return lambda *args: f(*args)
@numba.extending.overload(sc.fdtrc)
def fdtrc(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('fdtrc')
return lambda *args: f(*args)
@numba.extending.overload(sc.fdtri)
def fdtri(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('fdtri')
return lambda *args: f(*args)
@numba.extending.overload(sc.fdtridfd)
def fdtridfd(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('fdtridfd')
return lambda *args: f(*args)
@numba.extending.overload(sc.gamma)
def gamma(*args):
if args == (numba.types.float64,):
f = get_scalar_function('gamma[double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.gammainc)
def gammainc(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('gammainc')
return lambda *args: f(*args)
@numba.extending.overload(sc.gammaincc)
def gammaincc(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('gammaincc')
return lambda *args: f(*args)
@numba.extending.overload(sc.gammainccinv)
def gammainccinv(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('gammainccinv')
return lambda *args: f(*args)
@numba.extending.overload(sc.gammaincinv)
def gammaincinv(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('gammaincinv')
return lambda *args: f(*args)
@numba.extending.overload(sc.gammaln)
def gammaln(*args):
if args == (numba.types.float64,):
f = get_scalar_function('gammaln')
return lambda *args: f(*args)
@numba.extending.overload(sc.gammasgn)
def gammasgn(*args):
if args == (numba.types.float64,):
f = get_scalar_function('gammasgn')
return lambda *args: f(*args)
@numba.extending.overload(sc.gdtr)
def gdtr(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('gdtr')
return lambda *args: f(*args)
@numba.extending.overload(sc.gdtrc)
def gdtrc(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('gdtrc')
return lambda *args: f(*args)
@numba.extending.overload(sc.gdtria)
def gdtria(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('gdtria')
return lambda *args: f(*args)
@numba.extending.overload(sc.gdtrib)
def gdtrib(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('gdtrib')
return lambda *args: f(*args)
@numba.extending.overload(sc.gdtrix)
def gdtrix(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('gdtrix')
return lambda *args: f(*args)
@numba.extending.overload(sc.huber)
def huber(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('huber')
return lambda *args: f(*args)
@numba.extending.overload(sc.hyp0f1)
def hyp0f1(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('hyp0f1[double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.hyp1f1)
def hyp1f1(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('hyp1f1[double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.hyp2f1)
def hyp2f1(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('hyp2f1[double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.hyperu)
def hyperu(*args):
if args == (numba.types.float64, numba.types.float64, numba.types.float64,):
f = get_scalar_function('hyperu')
return lambda *args: f(*args)
@numba.extending.overload(sc.i0)
def i0(*args):
if args == (numba.types.float64,):
f = get_scalar_function('i0')
return lambda *args: f(*args)
@numba.extending.overload(sc.i0e)
def i0e(*args):
if args == (numba.types.float64,):
f = get_scalar_function('i0e')
return lambda *args: f(*args)
@numba.extending.overload(sc.i1)
def i1(*args):
if args == (numba.types.float64,):
f = get_scalar_function('i1')
return lambda *args: f(*args)
@numba.extending.overload(sc.i1e)
def i1e(*args):
if args == (numba.types.float64,):
f = get_scalar_function('i1e')
return lambda *args: f(*args)
@numba.extending.overload(sc.inv_boxcox)
def inv_boxcox(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('inv_boxcox')
return lambda *args: f(*args)
@numba.extending.overload(sc.inv_boxcox1p)
def inv_boxcox1p(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('inv_boxcox1p')
return lambda *args: f(*args)
@numba.extending.overload(sc.it2struve0)
def it2struve0(*args):
if args == (numba.types.float64,):
f = get_scalar_function('it2struve0')
return lambda *args: f(*args)
@numba.extending.overload(sc.itmodstruve0)
def itmodstruve0(*args):
if args == (numba.types.float64,):
f = get_scalar_function('itmodstruve0')
return lambda *args: f(*args)
@numba.extending.overload(sc.itstruve0)
def itstruve0(*args):
if args == (numba.types.float64,):
f = get_scalar_function('itstruve0')
return lambda *args: f(*args)
@numba.extending.overload(sc.iv)
def iv(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('iv[double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.ive)
def ive(*args):
if args == (numba.types.float64, numba.types.float64,):
f = get_scalar_function('ive[double]')
return lambda *args: f(*args)
@numba.extending.overload(sc.j0)
def j0(*args):
if args == (numba.types.float64,):
f = get_scalar_function('j0')