backwards compatibility

[HPicatto]

It mentions that numpy>=1.21 should work. In my case:

>>> np.__version__
'1.26.4'

but the example in readme rises this error:

Python 3.11.0 | packaged by conda-forge | (main, Jan 14 2023, 12:27:40) [GCC 11.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy as np
>>> np.__version__
'1.26.4'
>>> import sklearn as sc
>>> sc.__version__
'1.5.2'
>>> import numba 
>>> numba.__version__
'0.60.0'
>>> import tqdm
>>> tqdm.__version__
'4.67.1'
>>> import evoc
/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/evoc/float_nndescent.py:292: NumbaTypeSafetyWarning: unsafe cast from uint64 to int64. Precision may be lost.
  points = point_indices[i]
>>> from sklearn.datasets import make_blobs
>>> 
>>> data, _ = make_blobs(n_samples=100_000, n_features=1024, centers=100)
>>> 
>>> clusterer = evoc.EVoC()
>>> cluster_labels = clusterer.fit_predict(data)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/evoc/clustering.py", line 531, in fit_predict
    evoc_clusters(
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/evoc/clustering.py", line 362, in evoc_clusters
    cluster_layers, membership_strengths = build_cluster_layers(
                                           ^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/evoc/clustering.py", line 45, in build_cluster_layers
    new_tree = condense_tree(uncondensed_tree, base_min_cluster_size)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/dispatcher.py", line 442, in _compile_for_args
    raise e
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/dispatcher.py", line 375, in _compile_for_args
    return_val = self.compile(tuple(argtypes))
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/dispatcher.py", line 905, in compile
    cres = self._compiler.compile(args, return_type)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/dispatcher.py", line 80, in compile
    status, retval = self._compile_cached(args, return_type)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/dispatcher.py", line 94, in _compile_cached
    retval = self._compile_core(args, return_type)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/dispatcher.py", line 107, in _compile_core
    cres = compiler.compile_extra(self.targetdescr.typing_context,
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/compiler.py", line 744, in compile_extra
    return pipeline.compile_extra(func)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/compiler.py", line 438, in compile_extra
    return self._compile_bytecode()
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/compiler.py", line 506, in _compile_bytecode
    return self._compile_core()
           ^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/compiler.py", line 481, in _compile_core
    raise e
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/compiler.py", line 472, in _compile_core
    pm.run(self.state)
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/compiler_machinery.py", line 364, in run
    raise e
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/compiler_machinery.py", line 356, in run
    self._runPass(idx, pass_inst, state)
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/compiler_lock.py", line 35, in _acquire_compile_lock
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/compiler_machinery.py", line 311, in _runPass
    mutated |= check(pss.run_pass, internal_state)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/compiler_machinery.py", line 273, in check
    mangled = func(compiler_state)
              ^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/typed_passes.py", line 112, in run_pass
    typemap, return_type, calltypes, errs = type_inference_stage(
                                            ^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/typed_passes.py", line 93, in type_inference_stage
    errs = infer.propagate(raise_errors=raise_errors)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/typeinfer.py", line 1083, in propagate
    errors = self.constraints.propagate(self)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/typeinfer.py", line 182, in propagate
    raise e
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/typeinfer.py", line 160, in propagate
    constraint(typeinfer)
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/typeinfer.py", line 725, in __call__
    attrty = typeinfer.context.resolve_getattr(ty, self.attr)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/typing/context.py", line 283, in resolve_getattr
    attrty = self.resolve_module_constants(typ, attr)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numba/core/typing/context.py", line 348, in resolve_module_constants
    attrval = getattr(typ.pymod, attr)
              ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/picatto/ascii/research-space/.pixi/envs/research-cuda/lib/python3.11/site-packages/numpy/__init__.py", line 324, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations. Did you mean: 'bool_'?

adding the np.bool_ will solve the issue If you give me permissions to create new branches I can create a PR to solve this. I've tested that it works with most recent numpy version and also '1.26.4' which should be as current specification