NumPy 2.0 compatibility

[carlosal1015]

Some tests failed with recent NumPy 2.0

==> Making package: python-niaarm 0.3.11-1 (Fri Jul 26 10:16:21 2024)
==> Checking runtime dependencies...
==> Checking buildtime dependencies...
==> WARNING: Using existing $srcdir/ tree
==> Starting build()...
* Building wheel...
Successfully built niaarm-0.3.11-py3-none-any.whl
==> Starting check()...
===================================================================== test session starts ======================================================================
platform linux -- Python 3.12.4, pytest-8.3.1, pluggy-1.5.0
rootdir: /tmp/makepkg/python-niaarm/src/NiaARM-0.3.11
configfile: pyproject.toml
collected 26 items                                                                                                                                             

tests/test_cut_point.py FFF                                                                                                                              [ 11%]
tests/test_metrics.py ..............                                                                                                                     [ 65%]
tests/test_read_csv.py ..                                                                                                                                [ 73%]
tests/test_rule_building.py FFF                                                                                                                          [ 84%]
tests/test_text_mining.py FFF                                                                                                                            [ 96%]
tests/test_visualization.py .                                                                                                                            [100%]

=========================================================================== FAILURES ===========================================================================
_________________________________________________________________ TestCutPoint.test_cut_pointA _________________________________________________________________

self = <tests.test_cut_point.TestCutPoint testMethod=test_cut_pointA>

    def setUp(self):
        data = Dataset(
            os.path.join(os.path.dirname(__file__), "test_data", "wiki_test_case.csv")
        )
        self.features = data.features
>       self.oper = NiaARM(
            data.dimension, data.features, data.transactions, ("support",)
        )

tests/test_cut_point.py:17: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
niaarm/niaarm.py:73: in __init__
    self.best_fitness = np.NINF
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

attr = 'NINF'

    def __getattr__(attr):
        # Warn for expired attributes
        import warnings
    
        if attr == "linalg":
            import numpy.linalg as linalg
            return linalg
        elif attr == "fft":
            import numpy.fft as fft
            return fft
        elif attr == "dtypes":
            import numpy.dtypes as dtypes
            return dtypes
        elif attr == "random":
            import numpy.random as random
            return random
        elif attr == "polynomial":
            import numpy.polynomial as polynomial
            return polynomial
        elif attr == "ma":
            import numpy.ma as ma
            return ma
        elif attr == "ctypeslib":
            import numpy.ctypeslib as ctypeslib
            return ctypeslib
        elif attr == "exceptions":
            import numpy.exceptions as exceptions
            return exceptions
        elif attr == "testing":
            import numpy.testing as testing
            return testing
        elif attr == "matlib":
            import numpy.matlib as matlib
            return matlib
        elif attr == "f2py":
            import numpy.f2py as f2py
            return f2py
        elif attr == "typing":
            import numpy.typing as typing
            return typing
        elif attr == "rec":
            import numpy.rec as rec
            return rec
        elif attr == "char":
            import numpy.char as char
            return char
        elif attr == "array_api":
            raise AttributeError("`numpy.array_api` is not available from "
                                 "numpy 2.0 onwards")
        elif attr == "core":
            import numpy.core as core
            return core
        elif attr == "strings":
            import numpy.strings as strings
            return strings
        elif attr == "distutils":
            if 'distutils' in __numpy_submodules__:
                import numpy.distutils as distutils
                return distutils
            else:
                raise AttributeError("`numpy.distutils` is not available from "
                                     "Python 3.12 onwards")
    
        if attr in __future_scalars__:
            # And future warnings for those that will change, but also give
            # the AttributeError
            warnings.warn(
                f"In the future `np.{attr}` will be defined as the "
                "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
    
        if attr in __former_attrs__:
            raise AttributeError(__former_attrs__[attr])
    
        if attr in __expired_attributes__:
>           raise AttributeError(
                f"`np.{attr}` was removed in the NumPy 2.0 release. "
                f"{__expired_attributes__[attr]}"
            )
E           AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.

/usr/lib/python3.12/site-packages/numpy/__init__.py:397: AttributeError
________________________________________________________________ TestCutPointB.test_cut_pointB _________________________________________________________________

self = <tests.test_cut_point.TestCutPointB testMethod=test_cut_pointB>

    def setUp(self):
        data = Dataset(
            os.path.join(os.path.dirname(__file__), "test_data", "Abalone.csv")
        )
        self.features = data.features
>       self.oper = NiaARM(
            data.dimension, data.features, data.transactions, ("support",)
        )

tests/test_cut_point.py:69: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
niaarm/niaarm.py:73: in __init__
    self.best_fitness = np.NINF
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

attr = 'NINF'

    def __getattr__(attr):
        # Warn for expired attributes
        import warnings
    
        if attr == "linalg":
            import numpy.linalg as linalg
            return linalg
        elif attr == "fft":
            import numpy.fft as fft
            return fft
        elif attr == "dtypes":
            import numpy.dtypes as dtypes
            return dtypes
        elif attr == "random":
            import numpy.random as random
            return random
        elif attr == "polynomial":
            import numpy.polynomial as polynomial
            return polynomial
        elif attr == "ma":
            import numpy.ma as ma
            return ma
        elif attr == "ctypeslib":
            import numpy.ctypeslib as ctypeslib
            return ctypeslib
        elif attr == "exceptions":
            import numpy.exceptions as exceptions
            return exceptions
        elif attr == "testing":
            import numpy.testing as testing
            return testing
        elif attr == "matlib":
            import numpy.matlib as matlib
            return matlib
        elif attr == "f2py":
            import numpy.f2py as f2py
            return f2py
        elif attr == "typing":
            import numpy.typing as typing
            return typing
        elif attr == "rec":
            import numpy.rec as rec
            return rec
        elif attr == "char":
            import numpy.char as char
            return char
        elif attr == "array_api":
            raise AttributeError("`numpy.array_api` is not available from "
                                 "numpy 2.0 onwards")
        elif attr == "core":
            import numpy.core as core
            return core
        elif attr == "strings":
            import numpy.strings as strings
            return strings
        elif attr == "distutils":
            if 'distutils' in __numpy_submodules__:
                import numpy.distutils as distutils
                return distutils
            else:
                raise AttributeError("`numpy.distutils` is not available from "
                                     "Python 3.12 onwards")
    
        if attr in __future_scalars__:
            # And future warnings for those that will change, but also give
            # the AttributeError
            warnings.warn(
                f"In the future `np.{attr}` will be defined as the "
                "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
    
        if attr in __former_attrs__:
            raise AttributeError(__former_attrs__[attr])
    
        if attr in __expired_attributes__:
>           raise AttributeError(
                f"`np.{attr}` was removed in the NumPy 2.0 release. "
                f"{__expired_attributes__[attr]}"
            )
E           AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.

/usr/lib/python3.12/site-packages/numpy/__init__.py:397: AttributeError
________________________________________________________________ TestCutPointB.test_cut_pointC _________________________________________________________________

self = <tests.test_cut_point.TestCutPointB testMethod=test_cut_pointC>

    def setUp(self):
        data = Dataset(
            os.path.join(os.path.dirname(__file__), "test_data", "Abalone.csv")
        )
        self.features = data.features
>       self.oper = NiaARM(
            data.dimension, data.features, data.transactions, ("support",)
        )

tests/test_cut_point.py:69: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
niaarm/niaarm.py:73: in __init__
    self.best_fitness = np.NINF
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

attr = 'NINF'

    def __getattr__(attr):
        # Warn for expired attributes
        import warnings
    
        if attr == "linalg":
            import numpy.linalg as linalg
            return linalg
        elif attr == "fft":
            import numpy.fft as fft
            return fft
        elif attr == "dtypes":
            import numpy.dtypes as dtypes
            return dtypes
        elif attr == "random":
            import numpy.random as random
            return random
        elif attr == "polynomial":
            import numpy.polynomial as polynomial
            return polynomial
        elif attr == "ma":
            import numpy.ma as ma
            return ma
        elif attr == "ctypeslib":
            import numpy.ctypeslib as ctypeslib
            return ctypeslib
        elif attr == "exceptions":
            import numpy.exceptions as exceptions
            return exceptions
        elif attr == "testing":
            import numpy.testing as testing
            return testing
        elif attr == "matlib":
            import numpy.matlib as matlib
            return matlib
        elif attr == "f2py":
            import numpy.f2py as f2py
            return f2py
        elif attr == "typing":
            import numpy.typing as typing
            return typing
        elif attr == "rec":
            import numpy.rec as rec
            return rec
        elif attr == "char":
            import numpy.char as char
            return char
        elif attr == "array_api":
            raise AttributeError("`numpy.array_api` is not available from "
                                 "numpy 2.0 onwards")
        elif attr == "core":
            import numpy.core as core
            return core
        elif attr == "strings":
            import numpy.strings as strings
            return strings
        elif attr == "distutils":
            if 'distutils' in __numpy_submodules__:
                import numpy.distutils as distutils
                return distutils
            else:
                raise AttributeError("`numpy.distutils` is not available from "
                                     "Python 3.12 onwards")
    
        if attr in __future_scalars__:
            # And future warnings for those that will change, but also give
            # the AttributeError
            warnings.warn(
                f"In the future `np.{attr}` will be defined as the "
                "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
    
        if attr in __former_attrs__:
            raise AttributeError(__former_attrs__[attr])
    
        if attr in __expired_attributes__:
>           raise AttributeError(
                f"`np.{attr}` was removed in the NumPy 2.0 release. "
                f"{__expired_attributes__[attr]}"
            )
E           AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.

/usr/lib/python3.12/site-packages/numpy/__init__.py:397: AttributeError
________________________________________________________________ TestBuildRuleA.test_build_rule ________________________________________________________________

self = <tests.test_rule_building.TestBuildRuleA testMethod=test_build_rule>

    def setUp(self):
        data = Dataset(
            os.path.join(os.path.dirname(__file__), "test_data", "wiki_test_case.csv")
        )
        self.features = data.features
        self.transactions = data.transactions
>       self.oper = NiaARM(
            data.dimension, data.features, data.transactions, ("support",)
        )

tests/test_rule_building.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
niaarm/niaarm.py:73: in __init__
    self.best_fitness = np.NINF
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

attr = 'NINF'

    def __getattr__(attr):
        # Warn for expired attributes
        import warnings
    
        if attr == "linalg":
            import numpy.linalg as linalg
            return linalg
        elif attr == "fft":
            import numpy.fft as fft
            return fft
        elif attr == "dtypes":
            import numpy.dtypes as dtypes
            return dtypes
        elif attr == "random":
            import numpy.random as random
            return random
        elif attr == "polynomial":
            import numpy.polynomial as polynomial
            return polynomial
        elif attr == "ma":
            import numpy.ma as ma
            return ma
        elif attr == "ctypeslib":
            import numpy.ctypeslib as ctypeslib
            return ctypeslib
        elif attr == "exceptions":
            import numpy.exceptions as exceptions
            return exceptions
        elif attr == "testing":
            import numpy.testing as testing
            return testing
        elif attr == "matlib":
            import numpy.matlib as matlib
            return matlib
        elif attr == "f2py":
            import numpy.f2py as f2py
            return f2py
        elif attr == "typing":
            import numpy.typing as typing
            return typing
        elif attr == "rec":
            import numpy.rec as rec
            return rec
        elif attr == "char":
            import numpy.char as char
            return char
        elif attr == "array_api":
            raise AttributeError("`numpy.array_api` is not available from "
                                 "numpy 2.0 onwards")
        elif attr == "core":
            import numpy.core as core
            return core
        elif attr == "strings":
            import numpy.strings as strings
            return strings
        elif attr == "distutils":
            if 'distutils' in __numpy_submodules__:
                import numpy.distutils as distutils
                return distutils
            else:
                raise AttributeError("`numpy.distutils` is not available from "
                                     "Python 3.12 onwards")
    
        if attr in __future_scalars__:
            # And future warnings for those that will change, but also give
            # the AttributeError
            warnings.warn(
                f"In the future `np.{attr}` will be defined as the "
                "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
    
        if attr in __former_attrs__:
            raise AttributeError(__former_attrs__[attr])
    
        if attr in __expired_attributes__:
>           raise AttributeError(
                f"`np.{attr}` was removed in the NumPy 2.0 release. "
                f"{__expired_attributes__[attr]}"
            )
E           AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.

/usr/lib/python3.12/site-packages/numpy/__init__.py:397: AttributeError
______________________________________________________________ TestBuildRuleA.test_threshold_move ______________________________________________________________

self = <tests.test_rule_building.TestBuildRuleA testMethod=test_threshold_move>

    def setUp(self):
        data = Dataset(
            os.path.join(os.path.dirname(__file__), "test_data", "wiki_test_case.csv")
        )
        self.features = data.features
        self.transactions = data.transactions
>       self.oper = NiaARM(
            data.dimension, data.features, data.transactions, ("support",)
        )

tests/test_rule_building.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
niaarm/niaarm.py:73: in __init__
    self.best_fitness = np.NINF
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

attr = 'NINF'

    def __getattr__(attr):
        # Warn for expired attributes
        import warnings
    
        if attr == "linalg":
            import numpy.linalg as linalg
            return linalg
        elif attr == "fft":
            import numpy.fft as fft
            return fft
        elif attr == "dtypes":
            import numpy.dtypes as dtypes
            return dtypes
        elif attr == "random":
            import numpy.random as random
            return random
        elif attr == "polynomial":
            import numpy.polynomial as polynomial
            return polynomial
        elif attr == "ma":
            import numpy.ma as ma
            return ma
        elif attr == "ctypeslib":
            import numpy.ctypeslib as ctypeslib
            return ctypeslib
        elif attr == "exceptions":
            import numpy.exceptions as exceptions
            return exceptions
        elif attr == "testing":
            import numpy.testing as testing
            return testing
        elif attr == "matlib":
            import numpy.matlib as matlib
            return matlib
        elif attr == "f2py":
            import numpy.f2py as f2py
            return f2py
        elif attr == "typing":
            import numpy.typing as typing
            return typing
        elif attr == "rec":
            import numpy.rec as rec
            return rec
        elif attr == "char":
            import numpy.char as char
            return char
        elif attr == "array_api":
            raise AttributeError("`numpy.array_api` is not available from "
                                 "numpy 2.0 onwards")
        elif attr == "core":
            import numpy.core as core
            return core
        elif attr == "strings":
            import numpy.strings as strings
            return strings
        elif attr == "distutils":
            if 'distutils' in __numpy_submodules__:
                import numpy.distutils as distutils
                return distutils
            else:
                raise AttributeError("`numpy.distutils` is not available from "
                                     "Python 3.12 onwards")
    
        if attr in __future_scalars__:
            # And future warnings for those that will change, but also give
            # the AttributeError
            warnings.warn(
                f"In the future `np.{attr}` will be defined as the "
                "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
    
        if attr in __former_attrs__:
            raise AttributeError(__former_attrs__[attr])
    
        if attr in __expired_attributes__:
>           raise AttributeError(
                f"`np.{attr}` was removed in the NumPy 2.0 release. "
                f"{__expired_attributes__[attr]}"
            )
E           AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.

/usr/lib/python3.12/site-packages/numpy/__init__.py:397: AttributeError
_____________________________________________________________ TestBuildRuleA.test_vector_position ______________________________________________________________

self = <tests.test_rule_building.TestBuildRuleA testMethod=test_vector_position>

    def setUp(self):
        data = Dataset(
            os.path.join(os.path.dirname(__file__), "test_data", "wiki_test_case.csv")
        )
        self.features = data.features
        self.transactions = data.transactions
>       self.oper = NiaARM(
            data.dimension, data.features, data.transactions, ("support",)
        )

tests/test_rule_building.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
niaarm/niaarm.py:73: in __init__
    self.best_fitness = np.NINF
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

attr = 'NINF'

    def __getattr__(attr):
        # Warn for expired attributes
        import warnings
    
        if attr == "linalg":
            import numpy.linalg as linalg
            return linalg
        elif attr == "fft":
            import numpy.fft as fft
            return fft
        elif attr == "dtypes":
            import numpy.dtypes as dtypes
            return dtypes
        elif attr == "random":
            import numpy.random as random
            return random
        elif attr == "polynomial":
            import numpy.polynomial as polynomial
            return polynomial
        elif attr == "ma":
            import numpy.ma as ma
            return ma
        elif attr == "ctypeslib":
            import numpy.ctypeslib as ctypeslib
            return ctypeslib
        elif attr == "exceptions":
            import numpy.exceptions as exceptions
            return exceptions
        elif attr == "testing":
            import numpy.testing as testing
            return testing
        elif attr == "matlib":
            import numpy.matlib as matlib
            return matlib
        elif attr == "f2py":
            import numpy.f2py as f2py
            return f2py
        elif attr == "typing":
            import numpy.typing as typing
            return typing
        elif attr == "rec":
            import numpy.rec as rec
            return rec
        elif attr == "char":
            import numpy.char as char
            return char
        elif attr == "array_api":
            raise AttributeError("`numpy.array_api` is not available from "
                                 "numpy 2.0 onwards")
        elif attr == "core":
            import numpy.core as core
            return core
        elif attr == "strings":
            import numpy.strings as strings
            return strings
        elif attr == "distutils":
            if 'distutils' in __numpy_submodules__:
                import numpy.distutils as distutils
                return distutils
            else:
                raise AttributeError("`numpy.distutils` is not available from "
                                     "Python 3.12 onwards")
    
        if attr in __future_scalars__:
            # And future warnings for those that will change, but also give
            # the AttributeError
            warnings.warn(
                f"In the future `np.{attr}` will be defined as the "
                "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
    
        if attr in __former_attrs__:
            raise AttributeError(__former_attrs__[attr])
    
        if attr in __expired_attributes__:
>           raise AttributeError(
                f"`np.{attr}` was removed in the NumPy 2.0 release. "
                f"{__expired_attributes__[attr]}"
            )
E           AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.

/usr/lib/python3.12/site-packages/numpy/__init__.py:397: AttributeError
________________________________________________________________ TestTextMining.test_cut_point _________________________________________________________________

self = <tests.test_text_mining.TestTextMining testMethod=test_cut_point>

    def setUp(self):
        nltk.download("punkt")
        nltk.download("stopwords")
        ds_path = os.path.join(
            os.path.dirname(__file__), "test_data", "artm_test_dataset.json"
        )
        df = pd.read_json(ds_path, orient="records")
        documents = df["text"].tolist()
        self.corpus = Corpus.from_list(documents)
>       self.problem = NiaARTM(
            5,
            self.corpus.terms(),
            self.corpus.tf_idf_matrix(),
            ("support", "confidence", "aws"),
        )

tests/test_text_mining.py:21: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
niaarm/text.py:339: in __init__
    super().__init__(max_terms + 1, terms, transactions, metrics, logging)
niaarm/niaarm.py:73: in __init__
    self.best_fitness = np.NINF
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

attr = 'NINF'

    def __getattr__(attr):
        # Warn for expired attributes
        import warnings
    
        if attr == "linalg":
            import numpy.linalg as linalg
            return linalg
        elif attr == "fft":
            import numpy.fft as fft
            return fft
        elif attr == "dtypes":
            import numpy.dtypes as dtypes
            return dtypes
        elif attr == "random":
            import numpy.random as random
            return random
        elif attr == "polynomial":
            import numpy.polynomial as polynomial
            return polynomial
        elif attr == "ma":
            import numpy.ma as ma
            return ma
        elif attr == "ctypeslib":
            import numpy.ctypeslib as ctypeslib
            return ctypeslib
        elif attr == "exceptions":
            import numpy.exceptions as exceptions
            return exceptions
        elif attr == "testing":
            import numpy.testing as testing
            return testing
        elif attr == "matlib":
            import numpy.matlib as matlib
            return matlib
        elif attr == "f2py":
            import numpy.f2py as f2py
            return f2py
        elif attr == "typing":
            import numpy.typing as typing
            return typing
        elif attr == "rec":
            import numpy.rec as rec
            return rec
        elif attr == "char":
            import numpy.char as char
            return char
        elif attr == "array_api":
            raise AttributeError("`numpy.array_api` is not available from "
                                 "numpy 2.0 onwards")
        elif attr == "core":
            import numpy.core as core
            return core
        elif attr == "strings":
            import numpy.strings as strings
            return strings
        elif attr == "distutils":
            if 'distutils' in __numpy_submodules__:
                import numpy.distutils as distutils
                return distutils
            else:
                raise AttributeError("`numpy.distutils` is not available from "
                                     "Python 3.12 onwards")
    
        if attr in __future_scalars__:
            # And future warnings for those that will change, but also give
            # the AttributeError
            warnings.warn(
                f"In the future `np.{attr}` will be defined as the "
                "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
    
        if attr in __former_attrs__:
            raise AttributeError(__former_attrs__[attr])
    
        if attr in __expired_attributes__:
>           raise AttributeError(
                f"`np.{attr}` was removed in the NumPy 2.0 release. "
                f"{__expired_attributes__[attr]}"
            )
E           AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.

/usr/lib/python3.12/site-packages/numpy/__init__.py:397: AttributeError
--------------------------------------------------------------------- Captured stderr call ---------------------------------------------------------------------
[nltk_data] Downloading package punkt to /home/aur/nltk_data...
[nltk_data]   Package punkt is already up-to-date!
[nltk_data] Downloading package stopwords to /home/aur/nltk_data...
[nltk_data]   Package stopwords is already up-to-date!
_________________________________________________________________ TestTextMining.test_metrics __________________________________________________________________

self = <tests.test_text_mining.TestTextMining testMethod=test_metrics>

    def setUp(self):
        nltk.download("punkt")
        nltk.download("stopwords")
        ds_path = os.path.join(
            os.path.dirname(__file__), "test_data", "artm_test_dataset.json"
        )
        df = pd.read_json(ds_path, orient="records")
        documents = df["text"].tolist()
        self.corpus = Corpus.from_list(documents)
>       self.problem = NiaARTM(
            5,
            self.corpus.terms(),
            self.corpus.tf_idf_matrix(),
            ("support", "confidence", "aws"),
        )

tests/test_text_mining.py:21: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
niaarm/text.py:339: in __init__
    super().__init__(max_terms + 1, terms, transactions, metrics, logging)
niaarm/niaarm.py:73: in __init__
    self.best_fitness = np.NINF
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

attr = 'NINF'

    def __getattr__(attr):
        # Warn for expired attributes
        import warnings
    
        if attr == "linalg":
            import numpy.linalg as linalg
            return linalg
        elif attr == "fft":
            import numpy.fft as fft
            return fft
        elif attr == "dtypes":
            import numpy.dtypes as dtypes
            return dtypes
        elif attr == "random":
            import numpy.random as random
            return random
        elif attr == "polynomial":
            import numpy.polynomial as polynomial
            return polynomial
        elif attr == "ma":
            import numpy.ma as ma
            return ma
        elif attr == "ctypeslib":
            import numpy.ctypeslib as ctypeslib
            return ctypeslib
        elif attr == "exceptions":
            import numpy.exceptions as exceptions
            return exceptions
        elif attr == "testing":
            import numpy.testing as testing
            return testing
        elif attr == "matlib":
            import numpy.matlib as matlib
            return matlib
        elif attr == "f2py":
            import numpy.f2py as f2py
            return f2py
        elif attr == "typing":
            import numpy.typing as typing
            return typing
        elif attr == "rec":
            import numpy.rec as rec
            return rec
        elif attr == "char":
            import numpy.char as char
            return char
        elif attr == "array_api":
            raise AttributeError("`numpy.array_api` is not available from "
                                 "numpy 2.0 onwards")
        elif attr == "core":
            import numpy.core as core
            return core
        elif attr == "strings":
            import numpy.strings as strings
            return strings
        elif attr == "distutils":
            if 'distutils' in __numpy_submodules__:
                import numpy.distutils as distutils
                return distutils
            else:
                raise AttributeError("`numpy.distutils` is not available from "
                                     "Python 3.12 onwards")
    
        if attr in __future_scalars__:
            # And future warnings for those that will change, but also give
            # the AttributeError
            warnings.warn(
                f"In the future `np.{attr}` will be defined as the "
                "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
    
        if attr in __former_attrs__:
            raise AttributeError(__former_attrs__[attr])
    
        if attr in __expired_attributes__:
>           raise AttributeError(
                f"`np.{attr}` was removed in the NumPy 2.0 release. "
                f"{__expired_attributes__[attr]}"
            )
E           AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.

/usr/lib/python3.12/site-packages/numpy/__init__.py:397: AttributeError
--------------------------------------------------------------------- Captured stderr call ---------------------------------------------------------------------
[nltk_data] Downloading package punkt to /home/aur/nltk_data...
[nltk_data]   Package punkt is already up-to-date!
[nltk_data] Downloading package stopwords to /home/aur/nltk_data...
[nltk_data]   Package stopwords is already up-to-date!
______________________________________________________________ TestTextMining.test_rule_building _______________________________________________________________

self = <tests.test_text_mining.TestTextMining testMethod=test_rule_building>

    def setUp(self):
        nltk.download("punkt")
        nltk.download("stopwords")
        ds_path = os.path.join(
            os.path.dirname(__file__), "test_data", "artm_test_dataset.json"
        )
        df = pd.read_json(ds_path, orient="records")
        documents = df["text"].tolist()
        self.corpus = Corpus.from_list(documents)
>       self.problem = NiaARTM(
            5,
            self.corpus.terms(),
            self.corpus.tf_idf_matrix(),
            ("support", "confidence", "aws"),
        )

tests/test_text_mining.py:21: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
niaarm/text.py:339: in __init__
    super().__init__(max_terms + 1, terms, transactions, metrics, logging)
niaarm/niaarm.py:73: in __init__
    self.best_fitness = np.NINF
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

attr = 'NINF'

    def __getattr__(attr):
        # Warn for expired attributes
        import warnings
    
        if attr == "linalg":
            import numpy.linalg as linalg
            return linalg
        elif attr == "fft":
            import numpy.fft as fft
            return fft
        elif attr == "dtypes":
            import numpy.dtypes as dtypes
            return dtypes
        elif attr == "random":
            import numpy.random as random
            return random
        elif attr == "polynomial":
            import numpy.polynomial as polynomial
            return polynomial
        elif attr == "ma":
            import numpy.ma as ma
            return ma
        elif attr == "ctypeslib":
            import numpy.ctypeslib as ctypeslib
            return ctypeslib
        elif attr == "exceptions":
            import numpy.exceptions as exceptions
            return exceptions
        elif attr == "testing":
            import numpy.testing as testing
            return testing
        elif attr == "matlib":
            import numpy.matlib as matlib
            return matlib
        elif attr == "f2py":
            import numpy.f2py as f2py
            return f2py
        elif attr == "typing":
            import numpy.typing as typing
            return typing
        elif attr == "rec":
            import numpy.rec as rec
            return rec
        elif attr == "char":
            import numpy.char as char
            return char
        elif attr == "array_api":
            raise AttributeError("`numpy.array_api` is not available from "
                                 "numpy 2.0 onwards")
        elif attr == "core":
            import numpy.core as core
            return core
        elif attr == "strings":
            import numpy.strings as strings
            return strings
        elif attr == "distutils":
            if 'distutils' in __numpy_submodules__:
                import numpy.distutils as distutils
                return distutils
            else:
                raise AttributeError("`numpy.distutils` is not available from "
                                     "Python 3.12 onwards")
    
        if attr in __future_scalars__:
            # And future warnings for those that will change, but also give
            # the AttributeError
            warnings.warn(
                f"In the future `np.{attr}` will be defined as the "
                "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
    
        if attr in __former_attrs__:
            raise AttributeError(__former_attrs__[attr])
    
        if attr in __expired_attributes__:
>           raise AttributeError(
                f"`np.{attr}` was removed in the NumPy 2.0 release. "
                f"{__expired_attributes__[attr]}"
            )
E           AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.

/usr/lib/python3.12/site-packages/numpy/__init__.py:397: AttributeError
--------------------------------------------------------------------- Captured stderr call ---------------------------------------------------------------------
[nltk_data] Downloading package punkt to /home/aur/nltk_data...
[nltk_data]   Package punkt is already up-to-date!
[nltk_data] Downloading package stopwords to /home/aur/nltk_data...
[nltk_data]   Package stopwords is already up-to-date!
=================================================================== short test summary info ====================================================================
FAILED tests/test_cut_point.py::TestCutPoint::test_cut_pointA - AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.
FAILED tests/test_cut_point.py::TestCutPointB::test_cut_pointB - AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.
FAILED tests/test_cut_point.py::TestCutPointB::test_cut_pointC - AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.
FAILED tests/test_rule_building.py::TestBuildRuleA::test_build_rule - AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.
FAILED tests/test_rule_building.py::TestBuildRuleA::test_threshold_move - AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.
FAILED tests/test_rule_building.py::TestBuildRuleA::test_vector_position - AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.
FAILED tests/test_text_mining.py::TestTextMining::test_cut_point - AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.
FAILED tests/test_text_mining.py::TestTextMining::test_metrics - AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.
FAILED tests/test_text_mining.py::TestTextMining::test_rule_building - AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.
================================================================= 9 failed, 17 passed in 2.98s =================================================================
==> ERROR: A failure occurred in check().
    Aborting...
 -> error making: python-niaarm-exit status 4
 -> Failed to install the following packages. Manual intervention is required:
python-niaarm - exit status 4