Uncomment unused functions

Uncomment functions to use in the future

Author: GuiMacielPereira

src/mvesuvio/analysis_reduction.py

@@ -785,39 +785,36 @@ def pseudoVoigt(self, x, sigma, gamma):
         return pseudo_voigt / norm
 
 
-    # When interface is updated, uncomment to change the way
-    # constraints are handled:
-
-    # def _get_parsed_constraints(self):
-    #
-    #     parsed_constraints = []
-    #
-    #     for constraint in  self._constraints:
-    #         constraint['fun'] = self._get_parsed_constraint_function(constraint['fun']) 
-    #
-    #         parsed_constraints.append(constraint)
-    #
-    #     return parsed_constraints
-    #
-    #
-    # def _get_parsed_constraint_function(self, function_string: str):
-    #
-    #     profile_order = [key for key in self._profiles.keys()]
-    #     attribute_order = ['intensity', 'width', 'center']
-    #
-    #     words = function_string.split(' ')
-    #     for i, word in enumerate(words):
-    #         if '.' in word:
-    #
-    #             try:    # Skip floats 
-    #                 float(word) 
-    #             except ValueError: 
-    #                 continue
-    #
-    #             profile, attribute = word
-    #             words[i] = f"pars[{profile_order.index(profile) + attribute_order.index(attribute)}]" 
-    #
-    #     return eval(f"lambda pars: {' '.join(words)}")
+    def _get_parsed_constraints(self):
+
+        parsed_constraints = []
+
+        for constraint in  self._constraints:
+            constraint['fun'] = self._get_parsed_constraint_function(constraint['fun']) 
+
+            parsed_constraints.append(constraint)
+
+        return parsed_constraints
+
+
+    def _get_parsed_constraint_function(self, function_string: str):
+
+        profile_order = [key for key in self._profiles.keys()]
+        attribute_order = ['intensity', 'width', 'center']
+
+        words = function_string.split(' ')
+        for i, word in enumerate(words):
+            if '.' in word:
+
+                try:    # Skip floats 
+                    float(word) 
+                except ValueError: 
+                    continue
+
+                profile, attribute = word
+                words[i] = f"pars[{profile_order.index(profile) + attribute_order.index(attribute)}]" 
+
+        return eval(f"lambda pars: {' '.join(words)}")
 
 
     def _replace_zero_columns_with_ncp_fit(self):