more typos fixed
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@ -122,7 +122,7 @@ def _check_chromosome_mutation_rate(population_method):
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def _check_gene_mutation_rate(individual_method):
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"""Checks if the gene mutation rate is a float between 0 and 1 before running."""
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@wraps(population_method)
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@wraps(individual_method)
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def new_method(ga, index):
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if not isinstance(ga.gene_mutation_rate, float):
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@ -140,7 +140,7 @@ def _check_gene_mutation_rate(individual_method):
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def _reset_fitness(individual_method):
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"""Resets the fitness value of the chromosome."""
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@wraps(population_method)
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@wraps(individual_method)
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def new_method(ga, chromosome):
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chromosome.fitness = None
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individual_method(ga, chromosome)
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@ -153,7 +153,7 @@ def _loop_random_mutations(individual_method):
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genes are mutated on the indexed chromosome."""
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# Change input to include the gene index being mutated.
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@wraps(population_method)
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@wraps(individual_method)
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def new_method(ga, chromosome):
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sample_space = range(len(chromosome))
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@ -197,7 +197,7 @@ def _add_by_fitness_goal(termination_method):
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pass
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# Check other termination methods
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return termination_impl(ga)
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return termination_method(ga)
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return new_method
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@ -213,7 +213,7 @@ def _add_by_generation_goal(termination_method):
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return False
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# Check other termination methods
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return termination_impl(ga)
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return termination_method(ga)
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return new_method
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@ -239,7 +239,7 @@ def _add_by_tolerance_goal(termination_method):
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pass
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# Check other termination methods
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return termination_impl(ga)
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return termination_method(ga)
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return new_method
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