module 'numpy' has no attribute 'int'. about deep-forest HOT 5 CLOSED

Hi Karl, my solution is to download the source code from this repo and run python setup.py install to build the package from scratch. Hope it works for you too :)

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I also met another error:
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/numpy/init.py", line 320, in getattr
raise AttributeError("module {!r} has no attribute "
AttributeError: module 'numpy' has no attribute 'bool'

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Hi, I've just encountered exactly the same error after pip install deep-forest in a python=3.8 environment. I was able to fix the np.int error manually but the np.bool error seems to be hard to fix from user side.
I have also tried the following:

1. downgrade numpy to 1.19 (<1.20), but the following error would occur:

ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject

2. build from scratch with python setup.py install, but the following error would occur:

Error compiling Cython file:
------------------------------------------------------------
...
    if not is_samples_sorted[0]:
        n_samples = end - start
        memcpy(sorted_samples + start, samples + start,
               n_samples * sizeof(SIZE_t))
        qsort(sorted_samples + start, n_samples, sizeof(SIZE_t),
              compare_SIZE_t)
              ^
------------------------------------------------------------

deepforest/tree/_splitter.pyx:1040:14: Cannot assign type 'int (const void *, const void *) except? -1 nogil' to 'int (*)(const void *, const void *) noexcept nogil'. Exception values are incompatible. Suggest adding 'noexcept' to type 'int (const void *, const void *) except? -1 nogil'.

Is there any way to solve this since this issue has been recently closed as completed? Thanks in advance!

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Solved by reinstalling cpython==0.29.14 and building from scratch.

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Hi, I've just encountered exactly the same error after pip install deep-forest in a python=3.8 environment. I was able to fix the np.int error manually but the np.bool error seems to be hard to fix from user side. I have also tried the following:

1. downgrade numpy to 1.19 (<1.20), but the following error would occur:

ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject

2. build from scratch with python setup.py install, but the following error would occur:

Error compiling Cython file:
------------------------------------------------------------
...
    if not is_samples_sorted[0]:
        n_samples = end - start
        memcpy(sorted_samples + start, samples + start,
               n_samples * sizeof(SIZE_t))
        qsort(sorted_samples + start, n_samples, sizeof(SIZE_t),
              compare_SIZE_t)
              ^
------------------------------------------------------------

deepforest/tree/_splitter.pyx:1040:14: Cannot assign type 'int (const void *, const void *) except? -1 nogil' to 'int (*)(const void *, const void *) noexcept nogil'. Exception values are incompatible. Suggest adding 'noexcept' to type 'int (const void *, const void *) except? -1 nogil'.

Is there any way to solve this since this issue has been recently closed as completed? Thanks in advance!

could you please share your solution to the np.int error ? I'm getting the same issue:

AttributeError: module 'numpy' has no attribute 'int'.
`np.int` was a deprecated alias for the builtin `int`. To avoid this error in existing code, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:

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