Commit788423d

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Bug fix when gene_type is nested.

Fix some bugs when the gene_type parameter is nested. Thanks to Rainer for opening a discussion (ahmedfgad#43) to report this bug:ahmedfgad#43 (reply in thread)

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pygad.py

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`‎pygad.py`

Lines changed: 17 additions & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -1578,12 +1578,16 @@ def mutation_randomly(self, offspring):`
`1578`	`1578`	`random_value=self.gene_type(random_value)`
`1579`	`1579`	`else:`
`1580`	`1580`	`random_value=self.gene_type[gene_idx](random_value)`
`1581`		`-# If the mutation_by_replacement attribute is False, then the random value is added to the gene value.`
	`1581`	`+iftype(random_value)isnumpy.ndarray:`
	`1582`	`+random_value=random_value[0]`
	`1583`	`+# If the mutation_by_replacement attribute is False, then the random value is added to the gene value.`
`1582`	`1584`	`else:`
`1583`	`1585`	`ifself.gene_type_single==True:`
`1584`	`1586`	`random_value=self.gene_type(offspring[offspring_idx,gene_idx]+random_value)`
`1585`	`1587`	`else:`
`1586`	`1588`	`random_value=self.gene_type[gene_idx](offspring[offspring_idx,gene_idx]+random_value)`
	`1589`	`+iftype(random_value)isnumpy.ndarray:`
	`1590`	`+random_value=random_value[0]`
`1587`	`1591`
`1588`	`1592`	`offspring[offspring_idx,gene_idx]=random_value`
`1589`	`1593`
`@@ -1621,12 +1625,16 @@ def mutation_probs_randomly(self, offspring):`
`1621`	`1625`	`random_value=self.gene_type(random_value)`
`1622`	`1626`	`else:`
`1623`	`1627`	`random_value=self.gene_type[gene_idx](random_value)`
	`1628`	`+iftype(random_value)isnumpy.ndarray:`
	`1629`	`+random_value=random_value[0]`
`1624`	`1630`	`# If the mutation_by_replacement attribute is False, then the random value is added to the gene value.`
`1625`	`1631`	`else:`
`1626`	`1632`	`ifself.gene_type_single==True:`
`1627`	`1633`	`random_value=self.gene_type(offspring[offspring_idx,gene_idx]+random_value)`
`1628`	`1634`	`else:`
`1629`	`1635`	`random_value=self.gene_type[gene_idx](offspring[offspring_idx,gene_idx]+random_value)`
	`1636`	`+iftype(random_value)isnumpy.ndarray:`
	`1637`	`+random_value=random_value[0]`
`1630`	`1638`
`1631`	`1639`	`offspring[offspring_idx,gene_idx]=random_value`
`1632`	`1640`
`@@ -1872,12 +1880,16 @@ def adaptive_mutation_randomly(self, offspring):`
`1872`	`1880`	`random_value=self.gene_type(random_value)`
`1873`	`1881`	`else:`
`1874`	`1882`	`random_value=self.gene_type[gene_idx](random_value)`
	`1883`	`+iftype(random_value)isnumpy.ndarray:`
	`1884`	`+random_value=random_value[0]`
`1875`	`1885`	`# If the mutation_by_replacement attribute is False, then the random value is added to the gene value.`
`1876`	`1886`	`else:`
`1877`	`1887`	`ifself.gene_type_single==True:`
`1878`	`1888`	`random_value=self.gene_type(offspring[offspring_idx,gene_idx]+random_value)`
`1879`	`1889`	`else:`
`1880`	`1890`	`random_value=self.gene_type[gene_idx](offspring[offspring_idx,gene_idx]+random_value)`
	`1891`	`+iftype(random_value)isnumpy.ndarray:`
	`1892`	`+random_value=random_value[0]`
`1881`	`1893`
`1882`	`1894`	`offspring[offspring_idx,gene_idx]=random_value`
`1883`	`1895`
`@@ -2011,12 +2023,16 @@ def adaptive_mutation_probs_randomly(self, offspring):`
`2011`	`2023`	`random_value=self.gene_type(random_value)`
`2012`	`2024`	`else:`
`2013`	`2025`	`random_value=self.gene_type[gene_idx](random_value)`
	`2026`	`+iftype(random_value)isnumpy.ndarray:`
	`2027`	`+random_value=random_value[0]`
`2014`	`2028`	`# If the mutation_by_replacement attribute is False, then the random value is added to the gene value.`
`2015`	`2029`	`else:`
`2016`	`2030`	`ifself.gene_type_single==True:`
`2017`	`2031`	`random_value=self.gene_type(offspring[offspring_idx,gene_idx]+random_value)`
`2018`	`2032`	`else:`
`2019`	`2033`	`random_value=self.gene_type[gene_idx](offspring[offspring_idx,gene_idx]+random_value)`
	`2034`	`+iftype(random_value)isnumpy.ndarray:`
	`2035`	`+random_value=random_value[0]`
`2020`	`2036`
`2021`	`2037`	`offspring[offspring_idx,gene_idx]=random_value`
`2022`	`2038`

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