fixed package update

Author: oliverchampion

src/standardized/TCML_TechnionIIT_SLS.py

@@ -86,7 +86,7 @@ def ivim_fit(self, signals, bvalues, **kwargs):
         initial_guess = initial_guess[[0, 2, 1, 3]]
 
 
-        fit_results = self.fit_least_squares(1 ,np.array(signals)[:,np.newaxis],bvalues, bounds,initial_guess,self.thresholds)
+        fit_results = self.fit_least_squares(np.array(signals)[:,np.newaxis],bvalues, bounds,initial_guess,self.thresholds)
 
         results = {}
         results["D"] = fit_results[0]

src/standardized/TCML_TechnionIIT_lsqBOBYQA.py

@@ -80,7 +80,7 @@ def ivim_fit(self, signals, bvalues, **kwargs):
         initial_guess = np.array(self.initial_guess)
         initial_guess = initial_guess[[0, 2, 1, 3]]
 
-        fit_results = self.fit_least_squares(1 ,bvalues, np.array(signals)[:,np.newaxis], bounds, initial_guess)
+        fit_results = self.fit_least_squares(bvalues, np.array(signals)[:,np.newaxis], bounds, initial_guess)
 
         results = {}
         results["D"] = fit_results[0]

src/standardized/TCML_TechnionIIT_lsqlm.py

@@ -71,7 +71,7 @@ def ivim_fit(self, signals, bvalues, **kwargs):
         bvalues=np.array(bvalues)
         initial_guess = np.array(self.initial_guess)
         initial_guess = initial_guess[[0, 2, 1, 3]]
-        fit_results = self.fit_least_squares(1 ,bvalues, np.array(signals)[:,np.newaxis], initial_guess)
+        fit_results = self.fit_least_squares(bvalues, np.array(signals)[:,np.newaxis], initial_guess)
 
         results = {}
         results["D"] = fit_results[0]

src/standardized/TCML_TechnionIIT_lsqtrf.py

@@ -79,7 +79,7 @@ def ivim_fit(self, signals, bvalues, **kwargs):
         bounds=[bounds[0][[0, 2, 1, 3]], bounds[1][[0, 2, 1, 3]]]
         initial_guess = np.array(self.initial_guess)
         initial_guess = initial_guess[[0, 2, 1, 3]]
-        fit_results = self.fit_least_squares(1 ,bvalues, np.array(signals)[:,np.newaxis], bounds,initial_guess)
+        fit_results = self.fit_least_squares(bvalues, np.array(signals)[:,np.newaxis], bounds,initial_guess)
 
         results = {}
         results["D"] = fit_results[0]