AttributeError: module 'numpy' has no attribute 'float128'

[hafez-ahmad]

sorry for opening another issue, I am using windows 10 and python 3.8

0% [==========>]100% | Elapsed Time: 0 s | Estimated Time: 0 s | Info: Init time |
0% [==========3]100% | Elapsed Time: 12 s | Estimated Time: 535 s | Info: # of E 2 |

AttributeError Traceback (most recent call last)
in
----> 1 negative_eddies=analyseddyzt(sla,lon,lat,0,1,1,levels,preferences=preferences
2 ,areamap=areamap,areaparms=checkarea,filters=filters
3 ,maskopt='contour',diagnostics=False,pprint=True)

c:\users\hafez\miniconda3\lib\site-packages\trackeddy-0.1-py3.8.egg\trackeddy\tracking.py in analyseddyzt(data, x, y, t0, t1, tstep, levels, areamap, mask, physics, eddycenter, preferences, checkgauss, areaparms, maskopt, mode, filters, timeanalysis, destdir, saveformat, diagnostics, plotdata, pprint, debug)
661 levels_scan = [levellist[ll], np.inf]
662
--> 663 eddies, check, numbereddies = scan_eddym(dataanomaly, x, y, levels_scan, ii
664 , areamap, mask=mask, destdir=destdir
665 , physics=physics, eddycenter=eddycenter, maskopt=maskopt \

c:\users\hafez\miniconda3\lib\site-packages\trackeddy-0.1-py3.8.egg\trackeddy\tracking.py in scan_eddym(data, lon, lat, levels, date, areamap, mask, destdir, physics, eddycenter, maskopt, preferences, mode, basemap, checkgauss, areaparms, usefullfit, diagnostics, plotdata, debug)
299 fixvalues = [lon_contour, lat_contour, extremvalue,
300 center_extrem[0], center_extrem[1]]
--> 301 gausssianfitp, R2 = fit2Dcurve(data_in_contour,
302 fixvalues,
303 level, initial_guess=initial_guess, date='', \

c:\users\hafez\miniconda3\lib\site-packages\trackeddy-0.1-py3.8.egg\trackeddy\geometryfunc.py in fit2Dcurve(var, values, level, initial_guess, date, mode, diagnostics)
520 #print("\n ----Fit----")
521 #pdb.set_trace()
--> 522 res = minimize(gaussian2Dresidual, initial_guess,args=(coords,varm),
523 method='SLSQP',options={'xtol': 1e-12, 'disp': False})
524 fitdict = res.x

c:\users\hafez\miniconda3\lib\site-packages\scipy\optimize_minimize.py in minimize(fun, x0, args, method, jac, hess, hessp, bounds, constraints, tol, callback, options)
623 return _minimize_cobyla(fun, x0, args, constraints, **options)
624 elif meth == 'slsqp':
--> 625 return _minimize_slsqp(fun, x0, args, jac, bounds,
626 constraints, callback=callback, **options)
627 elif meth == 'trust-constr':

c:\users\hafez\miniconda3\lib\site-packages\scipy\optimize\slsqp.py in _minimize_slsqp(func, x0, args, jac, bounds, constraints, maxiter, ftol, iprint, disp, eps, callback, finite_diff_rel_step, **unknown_options)
366
367 # ScalarFunction provides function and gradient evaluation
--> 368 sf = _prepare_scalar_function(func, x, jac=jac, args=args, epsilon=eps,
369 finite_diff_rel_step=finite_diff_rel_step,
370 bounds=new_bounds)

c:\users\hafez\miniconda3\lib\site-packages\scipy\optimize\optimize.py in _prepare_scalar_function(fun, x0, jac, args, bounds, epsilon, finite_diff_rel_step, hess)
259 # ScalarFunction caches. Reuse of fun(x) during grad
260 # calculation reduces overall function evaluations.
--> 261 sf = ScalarFunction(fun, x0, args, grad, hess,
262 finite_diff_rel_step, bounds, epsilon=epsilon)
263

c:\users\hafez\miniconda3\lib\site-packages\scipy\optimize_differentiable_functions.py in init(self, fun, x0, args, grad, hess, finite_diff_rel_step, finite_diff_bounds, epsilon)
74
75 self._update_fun_impl = update_fun
---> 76 self._update_fun()
77
78 # Gradient evaluation

c:\users\hafez\miniconda3\lib\site-packages\scipy\optimize_differentiable_functions.py in _update_fun(self)
164 def _update_fun(self):
165 if not self.f_updated:
--> 166 self._update_fun_impl()
167 self.f_updated = True
168

c:\users\hafez\miniconda3\lib\site-packages\scipy\optimize_differentiable_functions.py in update_fun()
71
72 def update_fun():
---> 73 self.f = fun_wrapped(self.x)
74
75 self._update_fun_impl = update_fun

c:\users\hafez\miniconda3\lib\site-packages\scipy\optimize_differentiable_functions.py in fun_wrapped(x)
68 def fun_wrapped(x):
69 self.nfev += 1
---> 70 return fun(x, *args)
71
72 def update_fun():

c:\users\hafez\miniconda3\lib\site-packages\trackeddy-0.1-py3.8.egg\trackeddy\geometryfunc.py in gaussian2Dresidual(popt, coords, varm)
459 def gaussian2Dresidual(popt, coords, varm):
460 g=twoD_Gaussian(coords,*popt).reshape(np.shape(varm))
--> 461 residual = np.exp(np.abs(np.float128(np.nanmean(abs(varm - g))))) - 1
462 #print('Residual:',np.nanmean(residual))
463 return residual

c:\users\hafez\miniconda3\lib\site-packages\numpy_init_.py in getattr(attr)
212 return Tester
213 else:
--> 214 raise AttributeError("module {!r} has no attribute "
215 "{!r}".format(name, attr))
216

AttributeError: module 'numpy' has no attribute 'float128'

[josuemtzmo]

Thanks for the info, I'm about to recode in a more modular way TrackEddy, so I will shift to float64 then.