Bug module 'numpy' has no attribute 'int'. Did you mean: 'inf'?

[JavaProgswing]

Traceback (most recent call last):
File "C:\Users\HP\Desktop\Programs\Python\Testing\test.py", line 1, in
import pygad
File "C:\Users\HP.virtualenvs\Testing-x9UQs_eI\lib\site-packages\pygad_init_.py", line 1, in
from .pygad import * # Relative import.
File "C:\Users\HP.virtualenvs\Testing-x9UQs_eI\lib\site-packages\pygad\pygad.py", line 9, in
class GA:
File "C:\Users\HP.virtualenvs\Testing-x9UQs_eI\lib\site-packages\pygad\pygad.py", line 11, in GA
supported_int_types = [int, numpy.int, numpy.int8, numpy.int16, numpy.int32, numpy.int64, numpy.uint, numpy.uint8, numpy.uint16, numpy.uint32, numpy.uint64]
File "C:\Users\HP.virtualenvs\Testing-x9UQs_eI\lib\site-packages\numpy_init_.py", line 284, in getattr
raise AttributeError("module {!r} has no attribute "
AttributeError: module 'numpy' has no attribute 'int'. Did you mean: 'inf'?

[BenoitMiquey]

Hi,

Can you give the steps to reproduce this bug ?

[JavaProgswing]

I actually tried a sample code in a pipenv and it gave me this error.

`
import pygad

Define the function to be optimized

def fitness_func(x):
return x**2

Set the number of variables (in this case, x) and the number of generations

num_variables = 1
num_generations = 100

Set the lower and upper bounds for x

lower_bound = [0]
upper_bound = [10]

Set the crossover and mutation rate

crossover_rate = 0.8
mutation_rate = 0.2

Create the PyGAD object

ga = pygad.GeneticAlgorithm(num_variables=num_variables,
num_generations=num_generations,
lower_bound=lower_bound,
upper_bound=upper_bound,
crossover_rate=crossover_rate,
mutation_rate=mutation_rate,
fitness_func=fitness_func)

Run the optimization

best_solution = ga.run()

Print the best solution

print(best_solution)
`

[julianbieber]

I think I had the same issue.
From what I understand, numpy 1.24.0 was released 3 days ago, and they removed some deprecated aliases, one of which is numpy.int.

https://github.com/numpy/numpy/releases/tag/v1.24.0:

The deprecation for the aliases np.object, np.bool, np.float,
np.complex, np.str, and np.int is expired (introduces NumPy
1.20). Some of these will now give a FutureWarning in addition to
raising an error since they will be mapped to the NumPy scalars in
the future.

By using a previous version of numpy I was able to work around the issue.

python3 -m pip install numpy==1.23.5

[EgorBlagov]

Here is the PR fixing the issue: #152

[connorfuhrman]

Had a similar issue and had to revert to numpy<=1.20. I then had troubles installing that version of numpy with Python > 3.9.

[uid89626]

Happened to me too on python 3.10.5 with numpy 1.24.1.
numpy.int and numpy.float seem removed. fix is to update pygad.py like
`class GA:

supported_int_types = [int, numpy.int8, numpy.int16, numpy.int32, numpy.int64, numpy.uint, numpy.uint8, numpy.uint16, numpy.uint32, numpy.uint64]
supported_float_types = [float, numpy.float16, numpy.float32, numpy.float64]

`

[johnosbb]

Same issue, using the reference code provided on the main page:

raise AttributeError("module {!r} has no attribute "

AttributeError: module 'numpy' has no attribute 'int'. Did you mean: 'inf'?

[ahmedfgad]

The issue is solved in this PR: #152

A new release will be pushed soon.