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ahmedfgadahmedfgad
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Fixes and more tests
1 parent 1c44692 commit 6b94152

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5 files changed

+497
-56
lines changed

5 files changed

+497
-56
lines changed

‎pygad/helper/unique.py‎

Lines changed: 35 additions & 35 deletions
Original file line numberDiff line numberDiff line change
@@ -53,7 +53,7 @@ def solve_duplicate_genes_randomly(self,
5353
else:
5454
temp_val = numpy.random.uniform(low=min_val,
5555
high=max_val,
56-
size=1)
56+
size=1)[0]
5757
if mutation_by_replacement:
5858
pass
5959
else:
@@ -69,7 +69,7 @@ def solve_duplicate_genes_randomly(self,
6969
else:
7070
temp_val = numpy.random.uniform(low=min_val,
7171
high=max_val,
72-
size=1)
72+
size=1)[0]
7373
if mutation_by_replacement:
7474
pass
7575
else:
@@ -229,7 +229,7 @@ def unique_int_gene_from_range(self,
229229
# Note that we already know that the data type is integer.
230230
all_gene_values = numpy.asarray(all_gene_values,
231231
gene_type[gene_index][0])
232-
232+
233233
values_to_select_from = list(set(all_gene_values) - set(solution))
234234

235235
if len(values_to_select_from) == 0:
@@ -347,12 +347,12 @@ def unique_gene_by_space(self,
347347

348348
value_from_space = numpy.random.uniform(low=low,
349349
high=high,
350-
size=1)
350+
size=1)[0]
351351
# TODO: Remove check for mutation_by_replacement when solving duplicates. Just replace the gene by the selected value from space.
352-
if self.mutation_by_replacement:
353-
pass
354-
else:
355-
value_from_space = solution[gene_idx] + value_from_space
352+
# if self.mutation_by_replacement:
353+
# pass
354+
# else:
355+
# value_from_space = solution[gene_idx] + value_from_space
356356
else:
357357
if gene_type[gene_idx][0] in pygad.GA.supported_int_types:
358358
if build_initial_pop == True:
@@ -378,12 +378,12 @@ def unique_gene_by_space(self,
378378

379379
value_from_space = numpy.random.uniform(low=low,
380380
high=high,
381-
size=1)
381+
size=1)[0]
382382
# TODO: Remove check for mutation_by_replacement when solving duplicates. Just replace the gene by the selected value from space.
383-
if self.mutation_by_replacement:
384-
pass
385-
else:
386-
value_from_space = solution[gene_idx] + value_from_space
383+
# if self.mutation_by_replacement:
384+
# pass
385+
# else:
386+
# value_from_space = solution[gene_idx] + value_from_space
387387

388388
elif type(curr_gene_space) is dict:
389389
if self.gene_type_single == True:
@@ -409,12 +409,12 @@ def unique_gene_by_space(self,
409409
else:
410410
value_from_space = numpy.random.uniform(low=curr_gene_space['low'],
411411
high=curr_gene_space['high'],
412-
size=1)
412+
size=1)[0]
413413
# TODO: Remove check for mutation_by_replacement when solving duplicates. Just replace the gene by the selected value from space.
414-
if self.mutation_by_replacement:
415-
pass
416-
else:
417-
value_from_space = solution[gene_idx] + value_from_space
414+
# if self.mutation_by_replacement:
415+
# pass
416+
# else:
417+
# value_from_space = solution[gene_idx] + value_from_space
418418
else:
419419
# Use index 0 to return the type from the list (e.g. [int, None] or [float, 2]).
420420
if gene_type[gene_idx][0] in pygad.GA.supported_int_types:
@@ -439,12 +439,12 @@ def unique_gene_by_space(self,
439439
else:
440440
value_from_space = numpy.random.uniform(low=curr_gene_space['low'],
441441
high=curr_gene_space['high'],
442-
size=1)
442+
size=1)[0]
443443
# TODO: Remove check for mutation_by_replacement when solving duplicates. Just replace the gene by the selected value from space.
444-
if self.mutation_by_replacement:
445-
pass
446-
else:
447-
value_from_space = solution[gene_idx] + value_from_space
444+
# if self.mutation_by_replacement:
445+
# pass
446+
# else:
447+
# value_from_space = solution[gene_idx] + value_from_space
448448

449449
else:
450450
# Selecting a value randomly based on the current gene's space in the 'gene_space' attribute.
@@ -503,12 +503,12 @@ def unique_gene_by_space(self,
503503
else:
504504
value_from_space = numpy.random.uniform(low=self.gene_space['low'],
505505
high=self.gene_space['high'],
506-
size=1)
506+
size=1)[0]
507507
# TODO: Remove check for mutation_by_replacement when solving duplicates. Just replace the gene by the selected value from space.
508-
if self.mutation_by_replacement:
509-
pass
510-
else:
511-
value_from_space = solution[gene_idx] + value_from_space
508+
# if self.mutation_by_replacement:
509+
# pass
510+
# else:
511+
# value_from_space = solution[gene_idx] + value_from_space
512512
else:
513513
if gene_type[gene_idx][0] in pygad.GA.supported_int_types:
514514
if 'step' in self.gene_space.keys():
@@ -533,12 +533,12 @@ def unique_gene_by_space(self,
533533
else:
534534
value_from_space = numpy.random.uniform(low=self.gene_space['low'],
535535
high=self.gene_space['high'],
536-
size=1)
536+
size=1)[0]
537537
# TODO: Remove check for mutation_by_replacement when solving duplicates. Just replace the gene by the selected value from space.
538-
if self.mutation_by_replacement:
539-
pass
540-
else:
541-
value_from_space = solution[gene_idx] + value_from_space
538+
# if self.mutation_by_replacement:
539+
# pass
540+
# else:
541+
# value_from_space = solution[gene_idx] + value_from_space
542542

543543
else:
544544
# If the space type is not of type dict, then a value is randomly selected from the gene_space attribute.
@@ -562,7 +562,7 @@ def unique_gene_by_space(self,
562562

563563
value_from_space = numpy.random.uniform(low=low,
564564
high=high,
565-
size=1)
565+
size=1)[0]
566566

567567
# Similar to the round_genes() method in the pygad module,
568568
# Create a round_gene() method to round a single gene.
@@ -722,7 +722,7 @@ def unpack_gene_space(self,
722722
for idx in none_indices:
723723
random_value = numpy.random.uniform(low=self.random_mutation_min_val,
724724
high=self.random_mutation_max_val,
725-
size=1)
725+
size=1)[0]
726726
gene_space_unpacked[space_idx][idx] = random_value
727727

728728
if self.gene_type_single == True: # self.gene_type_single

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