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.