Commit6bd164f

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PyGAD 2.14.2

Some bug fixes when the gene_type parameter is nested. Thanks to Rainer Engel (https://www.linkedin.com/in/rainer-matthias-engel-5ba47a9) for opening a discussion to report this bug:ahmedfgad#43 (reply in thread)Rainer Engel (https://www.linkedin.com/in/rainer-matthias-engel-5ba47a9) helped a lot in suggesting new features and suggesting enhancements in 2.14.0 to 2.14.2 releases.

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Lines changed: 1 addition & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -1,3 +1,3 @@`
`1`	`1`	`from .pygadimport*# Relative import.`
`2`	`2`
`3`		`-__version__="2.14.1"`
	`3`	`+__version__="2.14.2"`

Lines changed: 4 additions & 4 deletions

Original file line number	Diff line number	Diff line change
`@@ -829,9 +829,9 @@ def initialize_population(self, low, high, allow_duplicate_genes, mutation_by_re`
`829`	`829`	`size=1),dtype=self.gene_type[gene_idx])[0]`
`830`	`830`	`self.population[sol_idx,gene_idx]=random.choice(self.gene_space[gene_idx])`
`831`	`831`	`eliftype(self.gene_space[gene_idx])isdict:`
`832`		`-self.population[sol_idx,gene_idx]=numpy.random.uniform(low=self.gene_space[gene_idx]['low'],`
`833`		`-high=self.gene_space[gene_idx]['high'],`
`834`		`-size=1)`
	`832`	`+self.population[sol_idx,gene_idx]=numpy.asarray(numpy.random.uniform(low=self.gene_space[gene_idx]['low'],`
	`833`	`+high=self.gene_space[gene_idx]['high'],`
	`834`	`+size=1),dtype=self.gene_type[gene_idx])[0]`
`835`	`835`	`eliftype(self.gene_space[gene_idx])==type(None):`
`836`	`836`	`self.gene_space[gene_idx]=numpy.asarray(numpy.random.uniform(low=low,`
`837`	`837`	`high=high,`
`@@ -853,7 +853,7 @@ def initialize_population(self, low, high, allow_duplicate_genes, mutation_by_re`
`853`	`853`	`self.population=numpy.asarray(numpy.random.uniform(low=self.gene_space['low'],`
`854`	`854`	`high=self.gene_space['high'],`
`855`	`855`	`size=self.pop_size),`
`856`		`-dtype=self.gene_type)# A NumPy array holding the initial population.`
	`856`	`+dtype=self.gene_type)# A NumPy array holding the initial population.`
`857`	`857`	`else:`
`858`	`858`	`self.population=numpy.asarray(numpy.random.choice(self.gene_space,`
`859`	`859`	`size=self.pop_size),`

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