Changeset 4342fed0 in sasview for src/sas/sascalc/pr
- Timestamp:
- Apr 9, 2017 8:09:12 AM (8 years ago)
- Branches:
- master, ESS_GUI, ESS_GUI_Docs, ESS_GUI_batch_fitting, ESS_GUI_bumps_abstraction, ESS_GUI_iss1116, ESS_GUI_iss879, ESS_GUI_iss959, ESS_GUI_opencl, ESS_GUI_ordering, ESS_GUI_sync_sascalc, costrafo411, magnetic_scatt, release-4.2.2, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload
- Children:
- fca1f50
- Parents:
- 5b2b04d (diff), 45dffa69 (diff)
Note: this is a merge changeset, the changes displayed below correspond to the merge itself.
Use the (diff) links above to see all the changes relative to each parent. - git-author:
- Paul Butler <butlerpd@…> (04/09/17 08:09:12)
- git-committer:
- GitHub <noreply@…> (04/09/17 08:09:12)
- Location:
- src/sas/sascalc/pr
- Files:
-
- 4 edited
Legend:
- Unmodified
- Added
- Removed
-
src/sas/sascalc/pr/fit/AbstractFitEngine.py
r9a5097c r7432acb 190 190 if qmin == 0.0 and not np.isfinite(self.y[qmin]): 191 191 self.qmin = min(self.x[self.x != 0]) 192 elif qmin !=None:192 elif qmin is not None: 193 193 self.qmin = qmin 194 if qmax !=None:194 if qmax is not None: 195 195 self.qmax = qmax 196 196 # Determine the range needed in unsmeared-Q to cover … … 202 202 self._last_unsmeared_bin = len(self.x) - 1 203 203 204 if self.smearer !=None:204 if self.smearer is not None: 205 205 self._first_unsmeared_bin, self._last_unsmeared_bin = \ 206 206 self.smearer.get_bin_range(self.qmin, self.qmax) … … 294 294 295 295 ## fitting range 296 if qmin ==None:296 if qmin is None: 297 297 self.qmin = 1e-16 298 if qmax ==None:298 if qmax is None: 299 299 self.qmax = math.sqrt(x_max * x_max + y_max * y_max) 300 300 ## new error image for fitting purpose 301 if self.err_data ==None or self.err_data == []:301 if self.err_data is None or self.err_data == []: 302 302 self.res_err_data = np.ones(len(self.data)) 303 303 else: … … 318 318 Set smearer 319 319 """ 320 if smearer ==None:320 if smearer is None: 321 321 return 322 322 self.smearer = smearer … … 330 330 if qmin == 0.0: 331 331 self.qmin = 1e-16 332 elif qmin !=None:332 elif qmin is not None: 333 333 self.qmin = qmin 334 if qmax !=None:334 if qmax is not None: 335 335 self.qmax = qmax 336 336 self.radius = np.sqrt(self.qx_data**2 + self.qy_data**2) … … 357 357 return the residuals 358 358 """ 359 if self.smearer !=None:359 if self.smearer is not None: 360 360 fn.set_index(self.idx) 361 361 # Get necessary data from self.data and set the data for smearing … … 615 615 """ 616 616 """ 617 if self.pvec ==None and self.model is None and self.param_list is None:617 if self.pvec is None and self.model is None and self.param_list is None: 618 618 return "No results" 619 619 -
src/sas/sascalc/pr/fit/Loader.py
r959eb01 rac07a3a 34 34 def set_values(self): 35 35 """ Store the values loaded from file in local variables""" 36 if not self.filename ==None:36 if self.filename is not None: 37 37 input_f = open(self.filename, 'r') 38 38 buff = input_f.read() -
src/sas/sascalc/pr/invertor.py
r9c0f3c17 r45dffa69 162 162 return self.set_dmax(value) 163 163 elif name == 'q_min': 164 if value ==None:164 if value is None: 165 165 return self.set_qmin(-1.0) 166 166 return self.set_qmin(value) 167 167 elif name == 'q_max': 168 if value ==None:168 if value is None: 169 169 return self.set_qmax(-1.0) 170 170 return self.set_qmax(value) … … 395 395 Check q-value against user-defined range 396 396 """ 397 if not self.q_min ==None and q < self.q_min:397 if self.q_min is not None and q < self.q_min: 398 398 return False 399 if not self.q_max ==None and q > self.q_max:399 if self.q_max is not None and q > self.q_max: 400 400 return False 401 401 return True … … 658 658 file.write("#has_bck=0\n") 659 659 file.write("#alpha_estimate=%g\n" % self.suggested_alpha) 660 if not self.out ==None:660 if self.out is not None: 661 661 if len(self.out) == len(self.cov): 662 662 for i in range(len(self.out)): -
src/sas/sascalc/pr/num_term.py
r959eb01 r7432acb 67 67 self.alpha_list = [] 68 68 for k in range(self.nterm_min, self.nterm_max, 1): 69 if self.isquit_func !=None:69 if self.isquit_func is not None: 70 70 self.isquit_func() 71 71 best_alpha, message, _ = inver.estimate_alpha(k) … … 159 159 scale = None 160 160 min_err = 0.0 161 if not path ==None:161 if path is not None: 162 162 input_f = open(path, 'r') 163 163 buff = input_f.read() … … 171 171 err = float(toks[2]) 172 172 else: 173 if scale ==None:173 if scale is None: 174 174 scale = 0.05 * math.sqrt(test_y) 175 175 #scale = 0.05/math.sqrt(y)
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