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Commit e97c46a

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PyGAD 2.19.2 Release
PyGAD 2.19.2 Release Notes 1. Fix an issue when paralell processing was used where the elitism solutions' fitness values are not re-used. #160 (comment) 
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‎__init__.py

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from .pygad import * # Relative import.
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__version__ = "2.19.1"
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__version__ = "2.19.2"

‎pygad.py

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elitism_idx = self.last_generation_elitism_indices[elitism_idx]
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# Use the elitism's index to return its pre-calculated fitness value.
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fitness = self.previous_generation_fitness[elitism_idx]
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pop_fitness[sol_idx] = fitness
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# If the solutions are not saved (i.e. `save_solutions=False`), check if this solution is a parent from the previous generation and its fitness value is already calculated. If so, use the fitness value instead of calling the fitness function.
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# We cannot use the `numpy.where()` function directly because it does not support the `axis` parameter. This is why the `numpy.all()` function is used to match the solutions on axis=1.
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# elif (self.last_generation_parents is not None) and len(numpy.where(numpy.all(self.last_generation_parents == sol, axis=1))[0] > 0):

‎setup.py

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setuptools.setup(
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name="pygad",
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version="2.19.1",
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version="2.19.2",
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author="Ahmed Fawzy Gad",
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install_requires=["numpy", "matplotlib", "cloudpickle",],
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author_email="ahmed.f.gad@gmail.com",

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