Changeset 1344 for framspy

Timestamp:

08/11/25 18:23:04 (7 days ago)

Author:

Maciej Komosinski

Message:

Cosmetic

Location:

framspy

Files:

• FramsticksEvolution.py (modified) (4 diffs)
• dissimilarity/density_distribution.py (modified) (1 diff)
• frams-test.py (modified) (1 diff)

framspy/FramsticksEvolution.py

@@ -38 +38 @@
                 print('Problem "%s" so could not evaluate genotype "%s", hence assigned it a special ("infeasible solution") fitness value: %s' % (str(e), genotype, FITNESS_CRITERIA_INFEASIBLE_SOLUTION))
         if valid:
-                default_evaluation_data['numgenocharacters'] = len(genotype)  # for consistent constraint checking below
+                default_evaluation_data['numgenocharacters'] = len(genotype)  # add one new key to the dictionary for consistent constraint checking below
                 valid &= genotype_within_constraint(genotype, default_evaluation_data, 'numparts', parsed_args.max_numparts)
                 valid &= genotype_within_constraint(genotype, default_evaluation_data, 'numjoints', parsed_args.max_numjoints)
@@ -139 +139 @@
         parser.add_argument('-pxov', type=float, default=0.2, help="Probability of crossover, default: 0.2")
         parser.add_argument('-hof_size', type=int, default=10, help="Number of genotypes in Hall of Fame. Default: 10.")
-        parser.add_argument('-hof_savefile', required=False, help='If set, Hall of Fame will be saved in Framsticks file format (recommended extension *.gen).')
+        parser.add_argument('-hof_savefile', required=False, help='If set, Hall of Fame will be saved in the Framsticks file format (recommended extension *.gen).')
 
         parser.add_argument('-max_numparts', type=int, default=None, help="Maximum number of Parts. Default: no limit")
@@ -173 +173 @@
 
         # random.seed(123)  # see FramsticksLib.DETERMINISTIC below, set to True if you want full determinism
-        FramsticksLib.DETERMINISTIC = False  # must be set before FramsticksLib() constructor call
+        FramsticksLib.DETERMINISTIC = False  # must be set before the FramsticksLib() constructor call
         parsed_args = parseArguments()
         print("Argument values:", ", ".join(['%s=%s' % (arg, getattr(parsed_args, arg)) for arg in vars(parsed_args)]))
@@ -193 +193 @@
                 print(ind.fitness, '\t<--\t', ind[0])
         if parsed_args.hof_savefile is not None:
-                save_genotypes(parsed_args.hof_savefile, OPTIMIZATION_CRITERIA, hof)
+                save_genotypes(parsed_args.hof_savefile, OPTIMIZATION_CRITERIA, hof) # saves a *.gen file, convenient for loading into Framsticks. Otherwise, you can save the HOF in any file format you need.
 
 

framspy/dissimilarity/density_distribution.py

@@ -139 +139 @@
 
         Returns (frequency):
-           signature np.array(,dtype=np.float64): returns signatuere np.array of coefficients
+           signature np.array(,dtype=np.float64): returns signature np.array of coefficients
         Returns (distribution):
-           signature [np.array(,dtype=np.float64),np.array(,dtype=np.float64)]: returns signatuere [np.array of points, np.array of weights]
+           signature [np.array(,dtype=np.float64),np.array(,dtype=np.float64)]: returns signature [np.array of points, np.array of weights]
         """
         edges_x,edges_y,edges_z = edges3

framspy/frams-test.py

@@ -114 +114 @@
 np.set_printoptions(formatter={'int': lambda x: ('.' if x == 0 else str(x // 18))})  # print zeros as dots, x//18 to fit a larger range into a single digit
 print(matrix)
-np.set_printoptions()  # avoids straange python errors: frams.py, line 48, in __del__ AttributeError: 'NoneType' object has no attribute 'extFree'
+np.set_printoptions()  # without this line, due to interaction with numpy and the order of object destruction, finalizers of some ExtValue objects are called AFTER c_api becomes None (when the script finishes, Python 3.12.3), leading to the inability to call extFree() in frams.py, in __del__() - hence that finalizer is now additionally protected against c_api being None.
+
 
 #