Closed carlosal1015 closed 4 months ago
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
Some tests failed with recent NumPy 2.0