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@mrh335
Description
I am running the example on how to use TQDM. I have used this successfully in a prior version and installation, but when running my previous code or the example code, I receive the error:
File C:\ProgramData\Anaconda3\envs\pygad_2_2_0-2\Lib\site-packages\cloudpickle\cloudpickle.py:1245 in dump
return super().dump(obj)
TypeError: cannot pickle '_hashlib.HMAC' object
Pygad version 3.1.0 and also tried 3.2.0
This is the code that was run returning this result.
import pygad
import numpy
import tqdm
equation_inputs = [4,-2,3.5]
desired_output = 44
def fitness_func(ga_instance, solution, solution_idx):
output = numpy.sum(solution * equation_inputs)
fitness = 1.0 / (numpy.abs(output - desired_output) + 0.000001)
return fitness
def on_generation_progress(ga):
pbar.update(1)
num_generations = 100
with tqdm.tqdm(total=num_generations) as pbar:
ga_instance = pygad.GA(num_generations=num_generations,
sol_per_pop=5,
num_parents_mating=2,
num_genes=len(equation_inputs),
fitness_func=fitness_func,
on_generation=on_generation_progress)
ga_instance.run()
ga_instance.plot_result()
ga_instance.save("test")