def get_moran_drift(M, T):
k = M.shape[1]
if k == 2:
return wrightcore.create_moran_drift_rate_k2(M, T)
elif k == 3:
return wrightcore.create_moran_drift_rate_k3(M, T)
elif k == 4:
return wrightcore.create_moran_drift_rate_k4(M, T)
else:
raise NotImplementedError
def get_moran_drift(M, T):
k = M.shape[1]
if k == 2:
return wrightcore.create_moran_drift_rate_k2(M, T)
elif k == 3:
return wrightcore.create_moran_drift_rate_k3(M, T)
elif k == 4:
return wrightcore.create_moran_drift_rate_k4(M, T)
else:
raise NotImplementedError
def get_moran_drift(M, T):
#FIXME: this is dumb,
#FIXME: but I'm not sure how to use variable-dimension ndarrays in cython
k = M.shape[1]
if k == 2:
return wrightcore.create_moran_drift_rate_k2(M, T)
elif k == 3:
return wrightcore.create_moran_drift_rate_k3(M, T)
elif k == 4:
return wrightcore.create_moran_drift_rate_k4(M, T)
else:
raise NotImplementedError
def get_moran_drift(M, T):
#FIXME: this is dumb,
#FIXME: but I'm not sure how to use variable-dimension ndarrays in cython
k = M.shape[1]
if k == 2:
return wrightcore.create_moran_drift_rate_k2(M, T)
elif k == 3:
return wrightcore.create_moran_drift_rate_k3(M, T)
elif k == 4:
return wrightcore.create_moran_drift_rate_k4(M, T)
else:
raise NotImplementedError
