'XGBoosterFree' issues

[interseba5]

• Nuitka version, full Python version, flavor, OS, etc. as output by this command.

  python -m nuitka --version 0.9.6 Commercial: None Python: 3.9.6 (tags/v3.9.6:db3ff76, Jun 28 2021, 15:26:21) [MSC v.1929 64 bit (AMD64)] Flavor: Unknown Executable: C:\Python39\python.exe OS: Windows Arch: x86_64 WindowsRelease: 10

• How did you install Nuitka and Python

Installed using pip

• The specific PyPI names and versions pip 22.0.4 from c:\python39\lib\site-packages\pip (python 3.9)

  python -m pip freeze xgboost==1.6.0

• Also supply a Short, Self Contained, Correct, Example

  from numpy import asarray
  from pandas import read_csv
  from xgboost import XGBRegressor
  url = 'https://raw.githubusercontent.com/jbrownlee/Datasets/master/housing.csv'
  dataframe = read_csv(url, header=None)
  data = dataframe.values
  X, y = data[:, :-1], data[:, -1]
  model = XGBRegressor()
  model.fit(X, y)
  row = [0.00632,18.00,2.310,0,0.5380,6.5750,65.20,4.0900,1,296.0,15.30,396.90,4.98]
  new_data = asarray([row])
  yhat = model.predict(new_data)
  print('Predicted: %.3f' % yhat)

• Provide in your issue the Nuitka options used

  python -m nuitka --standalone --enable-plugin=numpy --nofollow-import-to=numba,matplotlib,sqlalchemy test.py

• Note if this is a regression

Don't know if this is a regression

Explanation

When i run the exe everithing goes as expected except that when the program close it prints this error:

Exception ignored in: <compiled_function Booster.__del__ at 0x0000022A9F804C70>
Traceback (most recent call last):
  File "C:\TEST~1.DIS\xgboost\core.py", line 1468, in __del__
AttributeError: 'NoneType' object has no attribute 'XGBoosterFree'

This happens with both the XGBRegressor class and the XGBClassifier class

The piece of code inside xgboost package that throw the exception is this: core.py

1466 def __del__(self) -> None:
1467        if hasattr(self, 'handle') and self.handle is not None:
1468            _check_call(_LIB.XGBoosterFree(self.handle))
1469            self.handle = None

So what is None is _LIB. _LIB is initialized with this call: core.py

188 _LIB = _load_lib()

Where load_lib is this: core.py

139 def _load_lib() -> ctypes.CDLL:
140     """Load xgboost Library."""
141     lib_paths = find_lib_path()
142     if not lib_paths:
143         # This happens only when building document.
144         return None  # type: ignore
...
157             lib = ctypes.cdll.LoadLibrary(lib_path) 
...
184     return lib

What is weird is that everithing works fine until the __del__ call, so _LIB can't be be None until there.

[kayhayen]

With 1.0 support for xgboost DLLs was added. You ought to try develop, it had been fixed there for a long time.

[interseba5]

I know that you fixed the old issue because I was the creator of the issue #1636. But the fix dont fix this issue, it only address the missing dll issue.

[kayhayen]

Ah, so you are claiming a new issue. Can you retry with 1.0, the deleted global variables could be a symtom of something that was hotfixed by 0.9.6 though.

[kayhayen]

Please run with --python-flag=-v and check for traces that indicate module releases, you will easily recognize them, they come in large quantity at program end. Also, please be more clear, when this happens exactly.

[interseba5]

I have tried with nuitka version 1.1rc1 and the issue is still present. The exception is printed when the program ends after the last line of code. This is the output of the traces:

training set generation
99.98
fitting
import cudf # considering responsibility (find_spec)
import cudf # denied responsibility
<CDLL 'C:\TEST~1.DIS\xgboost\lib\xgboost.dll', handle 7ff9ad940000 at 0x2068266acd0>
Predicted:9.881 Expected: 10.48 Error: 0.599
Loaded __main__
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# clear sys.path
# clear sys.argv
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# clear sys.last_type
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# cleanup[2] removing copy
# cleanup[2] removing dataclasses
# cleanup[2] removing gzip
# cleanup[2] removing mmap
# cleanup[2] removing zipfile
# cleanup[2] removing pandas.core.shared_docs
# cleanup[2] removing pandas.io.common
# cleanup[2] removing pandas.io.formats.format
# cleanup[2] removing pandas.core.describe
# cleanup[2] removing pandas.core.internals.construction
# cleanup[2] removing pandas.core.sample
# cleanup[2] removing pandas._libs.window
# cleanup[2] removing pandas._libs.window.aggregations
# cleanup[2] removing pandas._libs.window.indexers
# cleanup[2] removing pandas.core.indexers.objects
# cleanup[2] removing pandas.core.util.numba_
# cleanup[2] removing pandas.core.window.common
# cleanup[2] removing pandas.core.window.doc
# cleanup[2] removing pandas.core.window.numba_
# cleanup[2] removing pandas.core.window.online
# cleanup[2] removing pandas.core._numba
# cleanup[2] removing pandas.core._numba.executor
# cleanup[2] removing pandas.core.window.rolling
# cleanup[2] removing pandas.core.window.ewm
# cleanup[2] removing pandas.core.window.expanding
# cleanup[2] removing pandas.core.window
# cleanup[2] removing pandas.core.generic
# cleanup[2] removing pandas.core.reshape.util
# cleanup[2] removing pandas.core.reshape.melt
# cleanup[2] removing pandas._libs.reshape
# cleanup[2] removing pandas.core.indexes.accessors
# cleanup[2] removing pandas.arrays
# cleanup[2] removing pandas.core.tools.datetimes
# cleanup[2] removing pandas.io.formats.info
# cleanup[2] removing pandas.plotting._core
# cleanup[2] removing pandas.plotting._misc
# cleanup[2] removing pandas.plotting
# cleanup[2] removing pandas.core.series
# cleanup[2] removing pandas.core.frame
# cleanup[2] removing pandas.core.groupby.base
# cleanup[2] removing pandas._libs.groupby
# cleanup[2] removing pandas.core.groupby.numba_
# cleanup[2] removing pandas.core.groupby.categorical
# cleanup[2] removing pandas.core.groupby.grouper
# cleanup[2] removing pandas.core.groupby.ops
# cleanup[2] removing pandas.core.groupby.indexing
# cleanup[2] removing pandas.core.groupby.groupby
# cleanup[2] removing pandas.core.groupby.generic
# cleanup[2] removing pandas.core.groupby
# cleanup[2] removing pandas.core.api
# cleanup[2] removing pandas.tseries.api
# cleanup[2] removing pandas.core.computation.common
# cleanup[2] removing pandas.core.computation.align
# cleanup[2] removing pprint
# cleanup[2] removing pandas.compat.chainmap
# cleanup[2] removing pandas.core.computation.scope
# cleanup[2] removing pandas.core.computation.ops
# cleanup[2] removing pandas.core.computation.parsing
# cleanup[2] removing pandas.core.computation.expr
# cleanup[2] removing pandas.core.computation.engines
# cleanup[2] removing pandas.core.computation.eval
# cleanup[2] removing pandas.core.computation.api
# cleanup[2] removing pandas.core.reshape.merge
# cleanup[2] removing pandas.core.reshape.pivot
# cleanup[2] removing pandas.core.reshape.reshape
# cleanup[2] removing pandas.core.reshape.tile
# cleanup[2] removing pandas.core.reshape.api
# cleanup[2] removing pandas.api.extensions
# cleanup[2] removing pandas.api.indexers
# cleanup[2] removing pandas.core.dtypes.api
# cleanup[2] removing pandas.api.types
# cleanup[2] removing pandas.api
# cleanup[2] removing pandas.util._print_versions
# cleanup[2] removing pandas.io.clipboards
# cleanup[2] removing pandas._libs.parsers
# cleanup[2] removing pandas.io.excel._util
# cleanup[2] removing pandas.io.date_converters
# cleanup[2] removing pandas.io.parsers.base_parser
# cleanup[2] removing pandas.io.parsers.arrow_parser_wrapper
# cleanup[2] removing pandas.io.parsers.c_parser_wrapper
# cleanup[2] removing pandas.io.parsers.python_parser
# cleanup[2] removing pandas.io.parsers.readers
# cleanup[2] removing pandas.io.parsers
# cleanup[2] removing pandas.io.excel._odfreader
# cleanup[2] removing pandas.io.excel._openpyxl
# cleanup[2] removing pandas.io.excel._pyxlsb
# cleanup[2] removing pandas.io.excel._xlrd
# cleanup[2] removing pandas.io.excel._base
# cleanup[2] removing pandas._libs.json
# cleanup[2] removing pandas.io.formats._color_data
# cleanup[2] removing pandas.io.formats.css
# cleanup[2] removing pandas.io.formats.excel
# cleanup[2] removing pandas.io.excel._odswriter
# cleanup[2] removing pandas.io.excel._xlsxwriter
# cleanup[2] removing pandas.io.excel._xlwt
# cleanup[2] removing pandas.io.excel
# cleanup[2] removing pandas.io.feather_format
# cleanup[2] removing pandas.io.gbq
# cleanup[2] removing pandas.io.html
# cleanup[2] removing pandas.io.json._normalize
# cleanup[2] removing pandas.io.json._table_schema
# cleanup[2] removing pandas.io.json._json
# cleanup[2] removing pandas.io.json
# cleanup[2] removing pandas.io.orc
# cleanup[2] removing pandas.io.parquet
# cleanup[2] removing pandas.compat.pickle_compat
# cleanup[2] removing pandas.io.pickle
# cleanup[2] removing pandas.core.computation.pytables
# cleanup[2] removing pandas.io.pytables
# cleanup[2] removing pandas.io.sas.sasreader
# cleanup[2] removing pandas.io.sas
# cleanup[2] removing pandas.io.spss
# cleanup[2] removing pandas.io.sql
# cleanup[2] removing pandas.io.stata
# cleanup[2] removing pandas.io.xml
# cleanup[2] removing pandas.io.api
# cleanup[2] removing pandas._version
# cleanup[2] removing pandas
# cleanup[2] removing sklearn._config
# cleanup[2] removing sklearn._distributor_init
# cleanup[2] removing sklearn.__check_build._check_build
# cleanup[2] removing sklearn.__check_build
# cleanup[2] removing pkgutil
# cleanup[2] removing timeit
# cleanup[2] removing sklearn.utils.murmurhash
# cleanup[2] removing sklearn.utils.class_weight
# cleanup[2] removing sysconfig
# cleanup[2] removing pydoc
# cleanup[2] removing joblib.hashing
# cleanup[2] removing multiprocessing-preLoad
# cleanup[2] removing multiprocessing.process
# cleanup[2] removing multiprocessing.reduction
# cleanup[2] removing multiprocessing.context
# cleanup[2] removing __mp_main__
# cleanup[2] removing multiprocessing-postLoad
# cleanup[2] removing multiprocessing
# cleanup[2] removing multiprocessing.util
# cleanup[2] removing joblib.disk
# cleanup[2] removing joblib.logger
# cleanup[2] removing joblib.func_inspect
# cleanup[2] removing distutils
# destroy distutils
# cleanup[2] removing distutils.version
# cleanup[2] removing joblib.backports
# cleanup[2] removing joblib.compressor
# cleanup[2] removing joblib.numpy_pickle_utils
# cleanup[2] removing joblib.numpy_pickle_compat
# cleanup[2] removing joblib.numpy_pickle
# cleanup[2] removing joblib._store_backends
# cleanup[2] removing joblib.memory
# cleanup[2] removing _uuid
# cleanup[2] removing uuid
# cleanup[2] removing _queue
# cleanup[2] removing queue
# cleanup[2] removing tempfile
# cleanup[2] removing _multiprocessing
# cleanup[2] removing joblib._multiprocessing_helpers
# cleanup[2] removing joblib._deprecated_my_exceptions
# cleanup[2] removing joblib.my_exceptions
# cleanup[2] removing joblib.externals
# cleanup[2] removing concurrent
# destroy concurrent
# cleanup[2] removing concurrent.futures._base
# cleanup[2] removing concurrent.futures
# destroy concurrent.futures
# cleanup[2] removing joblib.externals.loky._base
# cleanup[2] removing runpy
# cleanup[2] removing multiprocessing.spawn
# cleanup[2] removing multiprocessing.popen_spawn_win32
# cleanup[2] removing multiprocessing.connection
# cleanup[2] removing joblib.externals.loky.backend.compat_win32
# cleanup[2] removing joblib.externals.loky.backend.compat
# cleanup[2] removing joblib.externals.loky.backend.process
# cleanup[2] removing joblib.externals.loky.backend.context
# cleanup[2] removing multiprocessing.synchronize
# cleanup[2] removing joblib.externals.loky.backend
# cleanup[2] removing joblib.externals.loky.backend._win_reduction
# cleanup[2] removing joblib.externals.cloudpickle.compat
# cleanup[2] removing joblib.externals.cloudpickle.cloudpickle
# cleanup[2] removing joblib.externals.cloudpickle.cloudpickle_fast
# cleanup[2] removing joblib.externals.cloudpickle
# cleanup[2] removing joblib.externals.loky.backend.reduction
# cleanup[2] removing multiprocessing.queues
# cleanup[2] removing joblib.externals.loky.backend.queues
# cleanup[2] removing psutil._common
# cleanup[2] removing psutil._compat
# cleanup[2] removing psutil._psutil_windows
# cleanup[2] removing psutil._pswindows
# cleanup[2] removing psutil
# cleanup[2] removing joblib.externals.loky.backend.utils
# cleanup[2] removing joblib.externals.loky.initializers
# cleanup[2] removing concurrent.futures.process
# cleanup[2] removing joblib.externals.loky.process_executor
# cleanup[2] removing joblib.externals.loky.reusable_executor
# cleanup[2] removing joblib.externals.loky.cloudpickle_wrapper
# cleanup[2] removing joblib.externals.loky
# cleanup[2] removing joblib.externals.loky.backend.spawn
# cleanup[2] removing joblib.externals.loky.backend.resource_tracker
# cleanup[2] removing joblib._memmapping_reducer
# cleanup[2] removing multiprocessing.pool
# cleanup[2] removing joblib.pool
# cleanup[2] removing joblib.executor
# cleanup[2] removing joblib._parallel_backends
# cleanup[2] removing joblib.parallel
# cleanup[2] removing joblib
# cleanup[2] removing sklearn.utils._joblib
# cleanup[2] removing sklearn.exceptions
# cleanup[2] removing sklearn.utils.deprecation
# cleanup[2] removing scipy.spatial._ckdtree
# cleanup[2] removing scipy.spatial._kdtree
# cleanup[2] removing scipy._lib.messagestream
# cleanup[2] removing scipy.spatial._qhull
# cleanup[2] removing scipy.spatial._voronoi
# cleanup[2] removing scipy.spatial._spherical_voronoi
# cleanup[2] removing scipy._lib.decorator
# cleanup[2] removing scipy.spatial._plotutils
# cleanup[2] removing scipy.linalg._fblas
# cleanup[2] removing scipy.linalg.blas
# cleanup[2] removing scipy.linalg._flapack
# cleanup[2] removing scipy.linalg.lapack
# cleanup[2] removing scipy.linalg._misc
# cleanup[2] removing scipy.linalg._cythonized_array_utils
# cleanup[2] removing scipy.linalg._flinalg
# cleanup[2] removing scipy.linalg._flinalg_py
# cleanup[2] removing scipy.linalg._decomp
# cleanup[2] removing scipy.linalg._decomp_svd
# cleanup[2] removing scipy.linalg._solve_toeplitz
# cleanup[2] removing scipy.linalg._basic
# cleanup[2] removing scipy.linalg._decomp_lu
# cleanup[2] removing scipy.linalg._decomp_ldl
# cleanup[2] removing scipy.linalg._decomp_cholesky
# cleanup[2] removing scipy.linalg._decomp_qr
# cleanup[2] removing scipy.linalg._decomp_qz
# cleanup[2] removing scipy.linalg._decomp_schur
# cleanup[2] removing scipy.linalg._decomp_polar
# cleanup[2] removing scipy.linalg._special_matrices
# cleanup[2] removing scipy.linalg._expm_frechet
# cleanup[2] removing scipy.linalg._matfuncs_sqrtm_triu
# cleanup[2] removing scipy.linalg._matfuncs_sqrtm
# cleanup[2] removing scipy.linalg._matfuncs
# cleanup[2] removing scipy.linalg._solvers
# cleanup[2] removing scipy.linalg._procrustes
# cleanup[2] removing scipy.linalg.cython_blas
# cleanup[2] removing scipy.linalg.cython_lapack
# cleanup[2] removing scipy.linalg._decomp_update
# cleanup[2] removing scipy.linalg._sketches
# cleanup[2] removing scipy.linalg._decomp_cossin
# cleanup[2] removing scipy.linalg.decomp
# cleanup[2] removing scipy.linalg.decomp_cholesky
# cleanup[2] removing scipy.linalg.decomp_lu
# cleanup[2] removing scipy.linalg.decomp_qr
# cleanup[2] removing scipy.linalg.decomp_svd
# cleanup[2] removing scipy.linalg.decomp_schur
# cleanup[2] removing scipy.linalg.basic
# cleanup[2] removing scipy.linalg.misc
# cleanup[2] removing scipy.linalg.special_matrices
# cleanup[2] removing scipy.linalg.flinalg
# cleanup[2] removing scipy.linalg.matfuncs
# cleanup[2] removing scipy.linalg
# cleanup[2] removing scipy.spatial._procrustes
# cleanup[2] removing scipy.spatial._distance_wrap
# cleanup[2] removing scipy.spatial._hausdorff
# cleanup[2] removing scipy.special._sf_error
# cleanup[2] removing scipy.special._ufuncs_cxx
# cleanup[2] removing scipy.special._ufuncs
# cleanup[2] removing scipy.special._specfun
# cleanup[2] removing scipy.special._orthogonal
# cleanup[2] removing scipy.special._comb
# cleanup[2] removing scipy.special._basic
# cleanup[2] removing scipy.special._logsumexp
# cleanup[2] removing scipy.special._spfun_stats
# cleanup[2] removing scipy.special._ellip_harm_2
# cleanup[2] removing scipy.special._ellip_harm
# cleanup[2] removing scipy.special._lambertw
# cleanup[2] removing scipy.special._spherical_bessel
# cleanup[2] removing scipy.special._add_newdocs
# cleanup[2] removing scipy.special.add_newdocs
# cleanup[2] removing scipy.special.basic
# cleanup[2] removing scipy.special.orthogonal
# cleanup[2] removing scipy.special.specfun
# cleanup[2] removing scipy.special.sf_error
# cleanup[2] removing scipy.special.spfun_stats
# cleanup[2] removing scipy.special
# cleanup[2] removing scipy.spatial._distance_pybind
# cleanup[2] removing scipy.spatial.distance
# cleanup[2] removing scipy.spatial._geometric_slerp
# cleanup[2] removing scipy.spatial.ckdtree
# cleanup[2] removing scipy.spatial.kdtree
# cleanup[2] removing scipy.spatial.qhull
# cleanup[2] removing scipy.constants._codata
# cleanup[2] removing scipy.constants._constants
# cleanup[2] removing scipy.constants.codata
# cleanup[2] removing scipy.constants.constants
# cleanup[2] removing scipy.constants
# cleanup[2] removing scipy.spatial.transform._rotation_groups
# cleanup[2] removing scipy.spatial.transform._rotation
# cleanup[2] removing scipy.spatial.transform._rotation_spline
# cleanup[2] removing scipy.spatial.transform.rotation
# cleanup[2] removing scipy.spatial.transform
# cleanup[2] removing scipy.spatial
# cleanup[2] removing scipy.ndimage._ni_support
# cleanup[2] removing scipy.ndimage._nd_image
# cleanup[2] removing scipy._lib.doccer
# cleanup[2] removing scipy.ndimage._ni_docstrings
# cleanup[2] removing scipy.ndimage._filters
# cleanup[2] removing scipy.ndimage._fourier
# cleanup[2] removing scipy.ndimage._interpolation
# cleanup[2] removing _ni_label
# cleanup[2] removing scipy.ndimage._ni_label
# cleanup[2] removing scipy.ndimage._morphology
# cleanup[2] removing scipy.ndimage._measurements
# cleanup[2] removing scipy.ndimage.filters
# cleanup[2] removing scipy.ndimage.fourier
# cleanup[2] removing scipy.ndimage.interpolation
# cleanup[2] removing scipy.ndimage.measurements
# cleanup[2] removing scipy.ndimage.morphology
# cleanup[2] removing scipy.ndimage
# cleanup[2] removing scipy.stats._distr_params
# cleanup[2] removing scipy.sparse.linalg._isolve._iterative
# cleanup[2] removing scipy.sparse.linalg._interface
# cleanup[2] removing scipy.sparse.linalg._isolve.utils
# cleanup[2] removing scipy._lib._threadsafety
# cleanup[2] removing scipy.sparse.linalg._isolve.iterative
# cleanup[2] removing scipy.sparse.linalg._isolve.minres
# cleanup[2] removing scipy.sparse.linalg._isolve._gcrotmk
# cleanup[2] removing scipy.sparse.linalg._isolve.lgmres
# cleanup[2] removing scipy.sparse.linalg._isolve.lsqr
# cleanup[2] removing scipy.sparse.linalg._isolve.lsmr
# cleanup[2] removing scipy.sparse.linalg._isolve.tfqmr
# cleanup[2] removing scipy.sparse.linalg._isolve
# cleanup[2] removing scipy.sparse.linalg._dsolve._superlu
# cleanup[2] removing scipy.sparse.linalg._dsolve.linsolve
# cleanup[2] removing scipy.sparse.linalg._dsolve._add_newdocs
# cleanup[2] removing scipy.sparse.linalg._dsolve
# cleanup[2] removing scipy.sparse.linalg._eigen.arpack._arpack
# cleanup[2] removing scipy.sparse.linalg._eigen.arpack.arpack
# cleanup[2] removing scipy.sparse.linalg._eigen.arpack
# cleanup[2] removing scipy.sparse.linalg._eigen.lobpcg.lobpcg
# cleanup[2] removing scipy.sparse.linalg._eigen.lobpcg
# cleanup[2] removing scipy.sparse.linalg._eigen._svds
# cleanup[2] removing scipy.sparse.linalg._eigen
# cleanup[2] removing scipy.sparse.linalg._expm_multiply
# cleanup[2] removing scipy.sparse.linalg._matfuncs
# cleanup[2] removing scipy.sparse.linalg._onenormest
# cleanup[2] removing scipy.sparse.linalg._norm
# cleanup[2] removing scipy.sparse.linalg.isolve
# cleanup[2] removing scipy.sparse.linalg.dsolve
# cleanup[2] removing scipy.sparse.linalg.interface
# cleanup[2] removing scipy.sparse.linalg.eigen
# cleanup[2] removing scipy.sparse.linalg.matfuncs
# cleanup[2] removing scipy.sparse.linalg
# cleanup[2] removing scipy.optimize._minpack2
# cleanup[2] removing scipy.optimize._linesearch
# cleanup[2] removing scipy.optimize._group_columns
# cleanup[2] removing scipy.optimize._numdiff
# cleanup[2] removing scipy.optimize._hessian_update_strategy
# cleanup[2] removing scipy.optimize._differentiable_functions
# cleanup[2] removing scipy.optimize._optimize
# cleanup[2] removing scipy.optimize._trustregion
# cleanup[2] removing scipy.optimize._trustregion_dogleg
# cleanup[2] removing scipy.optimize._trustregion_ncg
# cleanup[2] removing scipy.optimize._trlib._trlib
# cleanup[2] removing scipy.optimize._trlib
# cleanup[2] removing scipy.optimize._trustregion_krylov
# cleanup[2] removing scipy.optimize._trustregion_exact
# cleanup[2] removing numpy.testing
# cleanup[2] removing scipy.optimize._constraints
# cleanup[2] removing scipy.optimize._trustregion_constr.projections
# cleanup[2] removing scipy.optimize._trustregion_constr.qp_subproblem
# cleanup[2] removing scipy.optimize._trustregion_constr.equality_constrained_sqp
# cleanup[2] removing scipy.optimize._trustregion_constr.canonical_constraint
# cleanup[2] removing scipy.optimize._trustregion_constr.tr_interior_point
# cleanup[2] removing scipy.optimize._trustregion_constr.report
# cleanup[2] removing scipy.optimize._trustregion_constr.minimize_trustregion_constr
# cleanup[2] removing scipy.optimize._trustregion_constr
# cleanup[2] removing scipy.optimize._lbfgsb
# cleanup[2] removing scipy.optimize._lbfgsb_py
# cleanup[2] removing _moduleTNC
# cleanup[2] removing scipy.optimize._moduleTNC
# cleanup[2] removing scipy.optimize._tnc
# cleanup[2] removing scipy.optimize._cobyla
# cleanup[2] removing scipy.optimize._cobyla_py
# cleanup[2] removing scipy.optimize._slsqp
# cleanup[2] removing scipy.optimize._slsqp_py
# cleanup[2] removing scipy.optimize._minimize
# cleanup[2] removing scipy.optimize._minpack
# cleanup[2] removing scipy.optimize._lsq.common
# cleanup[2] removing scipy.optimize._lsq.trf
# cleanup[2] removing scipy.optimize._lsq.dogbox
# cleanup[2] removing scipy.optimize._lsq.least_squares
# cleanup[2] removing scipy.optimize._lsq.givens_elimination
# cleanup[2] removing scipy.optimize._lsq.trf_linear
# cleanup[2] removing scipy.optimize._lsq.bvls
# cleanup[2] removing scipy.optimize._lsq.lsq_linear
# cleanup[2] removing scipy.optimize._lsq
# cleanup[2] removing scipy.optimize._minpack_py
# cleanup[2] removing scipy.optimize._spectral
# cleanup[2] removing scipy.optimize._nonlin
# cleanup[2] removing scipy.optimize._root
# cleanup[2] removing scipy.optimize._zeros
# cleanup[2] removing scipy.optimize._zeros_py
# cleanup[2] removing scipy.optimize._root_scalar
# cleanup[2] removing scipy.optimize.__nnls
# cleanup[2] removing scipy.optimize._nnls
# cleanup[2] removing scipy.optimize._basinhopping
# cleanup[2] removing scipy.optimize._highs
# cleanup[2] removing scipy.optimize._highs.cython.src._highs_wrapper
# cleanup[2] removing scipy.optimize._highs._highs_wrapper
# cleanup[2] removing scipy.optimize._highs.cython.src._highs_constants
# cleanup[2] removing scipy.optimize._highs._highs_constants
# cleanup[2] removing scipy.optimize._linprog_highs
# cleanup[2] removing scipy.linalg._interpolative
# cleanup[2] removing scipy.linalg._interpolative_backend
# cleanup[2] removing scipy.linalg.interpolative
# cleanup[2] removing scipy.optimize._remove_redundancy
# cleanup[2] removing scipy.optimize._linprog_util
# cleanup[2] removing scipy.optimize._linprog_ip
# cleanup[2] removing scipy.optimize._linprog_simplex
# cleanup[2] removing scipy.optimize._bglu_dense
# cleanup[2] removing scipy.optimize._linprog_rs
# cleanup[2] removing scipy.optimize._linprog_doc
# cleanup[2] removing scipy.optimize._linprog
# cleanup[2] removing scipy.optimize._lsap_module
# cleanup[2] removing scipy.optimize._lsap
# cleanup[2] removing scipy.optimize._differentialevolution
# cleanup[2] removing scipy.optimize._shgo_lib
# cleanup[2] removing scipy.optimize._shgo_lib.triangulation
# cleanup[2] removing scipy.optimize._shgo
# cleanup[2] removing scipy.optimize._dual_annealing
# cleanup[2] removing scipy.optimize._qap
# cleanup[2] removing scipy.optimize.cobyla
# cleanup[2] removing scipy.optimize.lbfgsb
# cleanup[2] removing scipy.optimize.linesearch
# cleanup[2] removing scipy.optimize.minpack
# cleanup[2] removing scipy.optimize.minpack2
# cleanup[2] removing scipy.optimize.moduleTNC
# cleanup[2] removing scipy.optimize.nonlin
# cleanup[2] removing scipy.optimize.optimize
# cleanup[2] removing scipy.optimize.slsqp
# cleanup[2] removing scipy.optimize.tnc
# cleanup[2] removing scipy.optimize.zeros
# cleanup[2] removing scipy.optimize
# cleanup[2] removing scipy.integrate._quadrature
# cleanup[2] removing scipy.integrate._odepack
# cleanup[2] removing scipy.integrate._odepack_py
# cleanup[2] removing scipy.integrate._quadpack
# cleanup[2] removing scipy.integrate._quadpack_py
# cleanup[2] removing scipy.integrate._vode
# cleanup[2] removing scipy.integrate._dop
# cleanup[2] removing scipy.integrate._lsoda
# cleanup[2] removing scipy.integrate._ode
# cleanup[2] removing scipy.integrate._bvp
# cleanup[2] removing scipy.integrate._ivp.common
# cleanup[2] removing scipy.integrate._ivp.base
# cleanup[2] removing scipy.integrate._ivp.bdf
# cleanup[2] removing scipy.integrate._ivp.radau
# cleanup[2] removing scipy.integrate._ivp.dop853_coefficients
# cleanup[2] removing scipy.integrate._ivp.rk
# cleanup[2] removing scipy.integrate._ivp.lsoda
# cleanup[2] removing scipy.integrate._ivp.ivp
# cleanup[2] removing scipy.integrate._ivp
# cleanup[2] removing scipy.integrate._quad_vec
# cleanup[2] removing scipy.integrate.dop
# cleanup[2] removing scipy.integrate.lsoda
# cleanup[2] removing scipy.integrate.vode
# cleanup[2] removing scipy.integrate.odepack
# cleanup[2] removing scipy.integrate.quadpack
# cleanup[2] removing scipy.integrate
# cleanup[2] removing scipy.misc._common
# cleanup[2] removing scipy.misc.common
# cleanup[2] removing scipy.misc._doccer
# cleanup[2] removing scipy.misc.doccer
# cleanup[2] removing scipy.misc
# cleanup[2] removing scipy.stats._constants
# cleanup[2] removing scipy.stats._distn_infrastructure
# cleanup[2] removing scipy.interpolate._fitpack
# cleanup[2] removing scipy.interpolate.dfitpack
# cleanup[2] removing scipy.interpolate._fitpack_impl
# cleanup[2] removing scipy.interpolate._bspl
# cleanup[2] removing scipy.interpolate._bsplines
# cleanup[2] removing scipy.interpolate._fitpack_py
# cleanup[2] removing scipy.interpolate._polyint
# cleanup[2] removing scipy.interpolate._ppoly
# cleanup[2] removing scipy.interpolate._fitpack2
# cleanup[2] removing scipy.interpolate.interpnd
# cleanup[2] removing scipy.interpolate._interpolate
# cleanup[2] removing scipy.interpolate._rbf
# cleanup[2] removing scipy.interpolate._rbfinterp_pythran
# cleanup[2] removing scipy.interpolate._rbfinterp
# cleanup[2] removing scipy.interpolate._cubic
# cleanup[2] removing scipy.interpolate._ndgriddata
# cleanup[2] removing scipy.interpolate._pade
# cleanup[2] removing scipy.interpolate.fitpack
# cleanup[2] removing scipy.interpolate.fitpack2
# cleanup[2] removing scipy.interpolate.interpolate
# cleanup[2] removing scipy.interpolate.ndgriddata
# cleanup[2] removing scipy.interpolate.polyint
# cleanup[2] removing scipy.interpolate.rbf
# cleanup[2] removing scipy.interpolate
# cleanup[2] removing scipy.special.cython_special
# cleanup[2] removing scipy.stats._stats
# cleanup[2] removing scipy.stats._tukeylambda_stats
# cleanup[2] removing scipy.stats._ksstats
# cleanup[2] removing beta_ufunc
# cleanup[2] removing scipy.stats._boost.beta_ufunc
# cleanup[2] removing binom_ufunc
# cleanup[2] removing scipy.stats._boost.binom_ufunc
# cleanup[2] removing nbinom_ufunc
# cleanup[2] removing scipy.stats._boost.nbinom_ufunc
# cleanup[2] removing hypergeom_ufunc
# cleanup[2] removing scipy.stats._boost.hypergeom_ufunc
# cleanup[2] removing scipy.stats._boost
# cleanup[2] removing scipy.stats._continuous_distns
# cleanup[2] removing scipy.stats._biasedurn
# cleanup[2] removing scipy.stats._discrete_distns
# cleanup[2] removing scipy.stats._entropy
# cleanup[2] removing scipy.stats.distributions
# cleanup[2] removing scipy._lib._bunch
# cleanup[2] removing scipy.stats._stats_mstats_common
# cleanup[2] removing scipy.stats._mstats_basic
# cleanup[2] removing scipy.stats._common
# cleanup[2] removing scipy.stats._wilcoxon_data
# cleanup[2] removing scipy._lib._docscrape
# cleanup[2] removing scipy.stats._axis_nan_policy
# cleanup[2] removing scipy.stats._bootstrap
# cleanup[2] removing scipy.stats._hypotests_pythran
# cleanup[2] removing scipy.stats._hypotests
# cleanup[2] removing scipy.stats._stats_py
# cleanup[2] removing scipy.stats._variation
# cleanup[2] removing scipy.stats._statlib
# cleanup[2] removing scipy.stats._relative_risk
# cleanup[2] removing scipy.stats._crosstab
# cleanup[2] removing scipy.stats.contingency
# cleanup[2] removing scipy.stats._morestats
# cleanup[2] removing scipy.stats._binomtest
# cleanup[2] removing scipy.stats._binned_statistic
# cleanup[2] removing scipy.stats._mvn
# cleanup[2] removing scipy.stats._kde
# cleanup[2] removing scipy.stats._mstats_extras
# cleanup[2] removing scipy.stats.mstats
# cleanup[2] removing scipy.stats._sobol
# cleanup[2] removing scipy.stats._qmc_cy
# cleanup[2] removing scipy.stats._qmc
# cleanup[2] removing scipy.stats.qmc
# cleanup[2] removing scipy.stats._multivariate
# cleanup[2] removing scipy.stats._unuran
# cleanup[2] removing scipy.stats._unuran.unuran_wrapper
# cleanup[2] removing scipy.stats._rvs_sampling
# cleanup[2] removing scipy.stats._page_trend_test
# cleanup[2] removing scipy.stats._mannwhitneyu
# cleanup[2] removing scipy.stats.biasedurn
# cleanup[2] removing scipy.stats.kde
# cleanup[2] removing scipy.stats.morestats
# cleanup[2] removing scipy.stats.mstats_basic
# cleanup[2] removing scipy.stats.mstats_extras
# cleanup[2] removing scipy.stats.mvn
# cleanup[2] removing scipy.stats.statlib
# cleanup[2] removing scipy.stats.stats
# cleanup[2] removing scipy.stats
# cleanup[2] removing ctypes.util
# cleanup[2] removing threadpoolctl
# cleanup[2] removing sklearn.externals
# cleanup[2] removing sklearn.externals._packaging
# cleanup[2] removing sklearn.externals._packaging._structures
# cleanup[2] removing sklearn.externals._packaging.version
# cleanup[2] removing sklearn.utils.fixes
# cleanup[2] removing html.entities
# cleanup[2] removing html
# cleanup[2] removing sklearn.utils._estimator_html_repr
# cleanup[2] removing sklearn.utils.validation
# cleanup[2] removing sklearn.utils._bunch
# cleanup[2] removing sklearn.utils
# cleanup[2] removing sklearn.utils._tags
# cleanup[2] removing sklearn.base
# cleanup[2] removing sklearn.utils._openmp_helpers
# cleanup[2] removing sklearn.utils._show_versions
# cleanup[2] removing sklearn
# cleanup[2] removing sklearn.utils.metaestimators
# cleanup[2] removing sklearn.preprocessing._function_transformer
# cleanup[2] removing sklearn.utils._logistic_sigmoid
# cleanup[2] removing _cython_0_29_28
# destroy _cython_0_29_28
# cleanup[2] removing sklearn.utils.sparsefuncs_fast
# cleanup[2] removing sklearn.utils.extmath
# cleanup[2] removing sklearn.utils.sparsefuncs
# cleanup[2] removing sklearn.utils._mask
# cleanup[2] removing sklearn.utils._encode
# cleanup[2] removing sklearn.preprocessing._encoders
# cleanup[2] removing sklearn.preprocessing._data
# cleanup[2] removing array
# cleanup[2] removing sklearn.utils.multiclass
# cleanup[2] removing sklearn.preprocessing._label
# cleanup[2] removing sklearn.preprocessing._discretization
# cleanup[2] removing sklearn.utils.stats
# cleanup[2] removing sklearn.preprocessing._csr_polynomial_expansion
# cleanup[2] removing sklearn.preprocessing._polynomial
# cleanup[2] removing sklearn.preprocessing
# cleanup[2] removing sklearn.model_selection._split
# cleanup[2] removing sklearn.metrics._base
# cleanup[2] removing sklearn.metrics._ranking
# cleanup[2] removing sklearn.metrics._classification
# cleanup[2] removing sklearn.utils._typedefs
# cleanup[2] removing sklearn.utils._readonly_array_wrapper
# cleanup[2] removing sklearn.metrics._dist_metrics
# cleanup[2] removing sklearn.metrics.cluster._expected_mutual_info_fast
# cleanup[2] removing sklearn.metrics.cluster._supervised
# cleanup[2] removing sklearn.utils._cython_blas
# cleanup[2] removing sklearn.utils._heap
# cleanup[2] removing sklearn.utils._sorting
# cleanup[2] removing sklearn.utils._vector_sentinel
# cleanup[2] removing sklearn.metrics._pairwise_distances_reduction
# cleanup[2] removing sklearn.metrics._pairwise_fast
# cleanup[2] removing sklearn.metrics.pairwise
# cleanup[2] removing sklearn.metrics.cluster._unsupervised
# cleanup[2] removing sklearn.metrics.cluster._bicluster
# cleanup[2] removing sklearn.metrics.cluster
# cleanup[2] removing sklearn.metrics._regression
# cleanup[2] removing sklearn.metrics._scorer
# cleanup[2] removing sklearn.metrics._plot
# cleanup[2] removing sklearn.metrics._plot.base
# cleanup[2] removing sklearn.metrics._plot.det_curve
# cleanup[2] removing sklearn.metrics._plot.roc_curve
# cleanup[2] removing sklearn.metrics._plot.precision_recall_curve
# cleanup[2] removing sklearn.metrics._plot.confusion_matrix
# cleanup[2] removing sklearn.metrics
# cleanup[2] removing sklearn.model_selection._validation
# cleanup[2] removing sklearn.utils._random
# cleanup[2] removing sklearn.utils.random
# cleanup[2] removing sklearn.model_selection._search
# cleanup[2] removing sklearn.model_selection
# cleanup[2] removing email
# cleanup[2] removing email.errors
# cleanup[2] removing email.quoprimime
# cleanup[2] removing email.base64mime
# cleanup[2] removing quopri
# destroy quopri
# cleanup[2] removing email.encoders
# cleanup[2] removing email.charset
# cleanup[2] removing email.header
# cleanup[2] removing email._parseaddr
# cleanup[2] removing email.utils
# cleanup[2] removing email._policybase
# cleanup[2] removing email.feedparser
# cleanup[2] removing email.parser
# cleanup[2] removing pkg_resources.extern
# cleanup[2] removing pkg_resources._vendor
# cleanup[2] removing win32api
# cleanup[2] removing pywintypes
# cleanup[2] removing pythoncom
# cleanup[2] removing win32com.gen_py
# cleanup[2] removing win32com
# cleanup[2] removing win32com.shell
# cleanup[2] removing pkg_resources._vendor.appdirs
# cleanup[2] removing pkg_resources.extern.appdirs
# cleanup[2] removing pkg_resources._vendor.packaging.__about__
# cleanup[2] removing pkg_resources._vendor.packaging
# cleanup[2] removing pkg_resources.extern.packaging
# cleanup[2] removing pkg_resources._vendor.packaging._structures
# cleanup[2] removing pkg_resources._vendor.packaging._typing
# cleanup[2] removing pkg_resources._vendor.packaging.version
# cleanup[2] removing pkg_resources.extern.packaging.version
# cleanup[2] removing pkg_resources._vendor.packaging._compat
# cleanup[2] removing pkg_resources._vendor.packaging.utils
# cleanup[2] removing pkg_resources._vendor.packaging.specifiers
# cleanup[2] removing pkg_resources.extern.packaging.specifiers
# cleanup[2] removing pkg_resources._vendor.pyparsing
# cleanup[2] removing pkg_resources.extern.pyparsing
# cleanup[2] removing pkg_resources._vendor.packaging.markers
# cleanup[2] removing pkg_resources._vendor.packaging.requirements
# cleanup[2] removing pkg_resources.extern.packaging.requirements
# cleanup[2] removing pkg_resources.extern.packaging.markers
# cleanup[2] removing pkg_resources
# cleanup[2] removing xgboost.compat
# cleanup[2] removing xgboost.libpath
# cleanup[2] removing xgboost._typing
# cleanup[2] removing xgboost.core
# cleanup[2] removing xgboost.rabit
# cleanup[2] removing xgboost.callback
# cleanup[2] removing xgboost.training
# cleanup[2] removing gettext
# destroy gettext
# cleanup[2] removing argparse
# cleanup[2] removing xgboost.tracker
# cleanup[2] removing xgboost.config
# cleanup[2] removing xgboost.data
# cleanup[2] removing xgboost.sklearn
# cleanup[2] removing xgboost.dask
# cleanup[2] removing xgboost.plotting
# cleanup[2] removing encodings.ascii
# cleanup[2] removing xgboost
# destroy base64
# destroy _contextvars
# destroy concurrent.futures.process
# cleanup[3] wiping xgboost
# cleanup[3] wiping encodings.ascii
# cleanup[3] wiping xgboost.plotting
# cleanup[3] wiping xgboost.dask
# destroy dask.dataframe
# destroy dask.array
# destroy dask.delayed
# destroy dask
# destroy dask.distributed
# cleanup[3] wiping xgboost.sklearn
# cleanup[3] wiping xgboost.data
# destroy distutils.version
# cleanup[3] wiping xgboost.config
# cleanup[3] wiping xgboost.tracker
# destroy argparse
# cleanup[3] wiping xgboost.training
# cleanup[3] wiping xgboost.callback
# cleanup[3] wiping xgboost.rabit
# cleanup[3] wiping xgboost.core
# cleanup[3] wiping xgboost._typing
# cleanup[3] wiping xgboost.libpath
# cleanup[3] wiping xgboost.compat
# cleanup[3] wiping pkg_resources
# destroy pkg_resources._vendor
# destroy pkg_resources.extern
# cleanup[3] wiping pkg_resources.extern.packaging.markers
# cleanup[3] wiping pkg_resources.extern.packaging.requirements
# cleanup[3] wiping pkg_resources._vendor.packaging.requirements
# cleanup[3] wiping pkg_resources._vendor.packaging.markers
# cleanup[3] wiping pkg_resources.extern.pyparsing
# destroy sre_constants
# cleanup[3] wiping pkg_resources._vendor.pyparsing
# cleanup[3] wiping pkg_resources.extern.packaging.specifiers
# cleanup[3] wiping pkg_resources._vendor.packaging.specifiers
# cleanup[3] wiping pkg_resources._vendor.packaging.utils
# cleanup[3] wiping pkg_resources._vendor.packaging._compat
# cleanup[3] wiping pkg_resources.extern.packaging.version
# cleanup[3] wiping pkg_resources._vendor.packaging.version
# cleanup[3] wiping pkg_resources._vendor.packaging._typing
# cleanup[3] wiping pkg_resources._vendor.packaging._structures
# cleanup[3] wiping pkg_resources.extern.packaging
# destroy pkg_resources._vendor.packaging._structures
# destroy pkg_resources._vendor.packaging._typing
# destroy pkg_resources._vendor.packaging._compat
# destroy pkg_resources._vendor.packaging.__about__
# destroy pkg_resources._vendor.packaging.version
# destroy pkg_resources._vendor.packaging.utils
# destroy pkg_resources._vendor.packaging.specifiers
# destroy pkg_resources._vendor.packaging.markers
# destroy pkg_resources._vendor.packaging.requirements
# cleanup[3] wiping pkg_resources._vendor.packaging
# cleanup[3] wiping pkg_resources.extern.appdirs
# cleanup[3] wiping pkg_resources._vendor.appdirs
# cleanup[3] wiping win32com.shell
# cleanup[3] wiping win32com
# destroy win32com.gen_py
# cleanup[3] wiping pythoncom
# cleanup[3] wiping pywintypes
# cleanup[3] wiping win32api
# cleanup[3] wiping email.parser
# cleanup[3] wiping email.feedparser
# cleanup[3] wiping email._policybase
# cleanup[3] wiping email.utils
# cleanup[3] wiping email._parseaddr
# cleanup[3] wiping email.header
# cleanup[3] wiping email.charset
# destroy email
# cleanup[3] wiping email.encoders
# cleanup[3] wiping email.base64mime
# cleanup[3] wiping email.quoprimime
# cleanup[3] wiping email.errors
# cleanup[3] wiping sklearn.model_selection
# cleanup[3] wiping sklearn.model_selection._search
# cleanup[3] wiping sklearn.utils.random
# cleanup[3] wiping sklearn.utils._random
# cleanup[3] wiping sklearn.model_selection._validation
# cleanup[3] wiping sklearn.metrics
# cleanup[3] wiping sklearn.metrics._plot.confusion_matrix
# cleanup[3] wiping sklearn.metrics._plot.precision_recall_curve
# cleanup[3] wiping sklearn.metrics._plot.roc_curve
# cleanup[3] wiping sklearn.metrics._plot.det_curve
# cleanup[3] wiping sklearn.metrics._plot.base
# cleanup[3] wiping sklearn.metrics._plot
# cleanup[3] wiping sklearn.metrics._scorer
# cleanup[3] wiping sklearn.metrics._regression
# cleanup[3] wiping sklearn.metrics.cluster
# cleanup[3] wiping sklearn.metrics.cluster._bicluster
# cleanup[3] wiping sklearn.metrics.cluster._unsupervised
# cleanup[3] wiping sklearn.metrics.pairwise
# cleanup[3] wiping sklearn.metrics._pairwise_fast
# cleanup[3] wiping sklearn.metrics._pairwise_distances_reduction
# cleanup[3] wiping sklearn.utils._vector_sentinel
# cleanup[3] wiping sklearn.utils._sorting
# cleanup[3] wiping sklearn.utils._heap
# cleanup[3] wiping sklearn.utils._cython_blas
# cleanup[3] wiping sklearn.metrics.cluster._supervised
# cleanup[3] wiping sklearn.metrics.cluster._expected_mutual_info_fast
# cleanup[3] wiping sklearn.metrics._dist_metrics
# cleanup[3] wiping sklearn.utils._readonly_array_wrapper
# cleanup[3] wiping sklearn.utils._typedefs
# cleanup[3] wiping sklearn.metrics._classification
# cleanup[3] wiping sklearn.metrics._ranking
# cleanup[3] wiping sklearn.metrics._base
# cleanup[3] wiping sklearn.model_selection._split
# cleanup[3] wiping sklearn.preprocessing
# cleanup[3] wiping sklearn.preprocessing._polynomial
# cleanup[3] wiping sklearn.preprocessing._csr_polynomial_expansion
# cleanup[3] wiping sklearn.utils.stats
# cleanup[3] wiping sklearn.preprocessing._discretization
# cleanup[3] wiping sklearn.preprocessing._label
# cleanup[3] wiping sklearn.utils.multiclass
# cleanup[3] wiping array
# destroy array
# cleanup[3] wiping sklearn.preprocessing._data
# cleanup[3] wiping sklearn.preprocessing._encoders
# cleanup[3] wiping sklearn.utils._encode
# cleanup[3] wiping sklearn.utils._mask
# cleanup[3] wiping sklearn.utils.sparsefuncs
# cleanup[3] wiping sklearn.utils.extmath
# cleanup[3] wiping sklearn.utils.sparsefuncs_fast
# cleanup[3] wiping sklearn.utils._logistic_sigmoid
# cleanup[3] wiping sklearn.preprocessing._function_transformer
# cleanup[3] wiping sklearn.utils.metaestimators
# cleanup[3] wiping sklearn
# destroy random
# cleanup[3] wiping sklearn.utils._show_versions
# cleanup[3] wiping sklearn.utils._openmp_helpers
# cleanup[3] wiping sklearn.base
# cleanup[3] wiping sklearn.utils._tags
# cleanup[3] wiping sklearn.utils
# destroy timeit
# cleanup[3] wiping sklearn.utils._bunch
# cleanup[3] wiping sklearn.utils.validation
# cleanup[3] wiping sklearn.utils._estimator_html_repr
# destroy html
# cleanup[3] wiping html.entities
# cleanup[3] wiping sklearn.utils.fixes
# cleanup[3] wiping sklearn.externals._packaging.version
# cleanup[3] wiping sklearn.externals._packaging._structures
# cleanup[3] wiping sklearn.externals._packaging
# cleanup[3] wiping sklearn.externals
# cleanup[3] wiping threadpoolctl
# cleanup[3] wiping ctypes.util
# cleanup[3] wiping scipy.stats
# cleanup[3] wiping scipy.stats.stats
# cleanup[3] wiping scipy.stats.statlib
# cleanup[3] wiping scipy.stats.mvn
# cleanup[3] wiping scipy.stats.mstats_extras
# cleanup[3] wiping scipy.stats.mstats_basic
# cleanup[3] wiping scipy.stats.morestats
# cleanup[3] wiping scipy.stats.kde
# cleanup[3] wiping scipy.stats.biasedurn
# cleanup[3] wiping scipy.stats._mannwhitneyu
# cleanup[3] wiping scipy.stats._page_trend_test
# cleanup[3] wiping scipy.stats._rvs_sampling
# cleanup[3] wiping scipy.stats._unuran.unuran_wrapper
# cleanup[3] wiping scipy.stats._unuran
# cleanup[3] wiping scipy.stats._multivariate
# cleanup[3] wiping scipy.stats.qmc
# cleanup[3] wiping scipy.stats._qmc
# cleanup[3] wiping scipy.stats._qmc_cy
# cleanup[3] wiping scipy.stats._sobol
# cleanup[3] wiping scipy.stats.mstats
# cleanup[3] wiping scipy.stats._mstats_extras
# cleanup[3] wiping scipy.stats._kde
# cleanup[3] wiping scipy.stats._mvn
# cleanup[3] wiping scipy.stats._binned_statistic
# cleanup[3] wiping scipy.stats._binomtest
# cleanup[3] wiping scipy.stats._morestats
# cleanup[3] wiping scipy.stats.contingency
# cleanup[3] wiping scipy.stats._crosstab
# cleanup[3] wiping scipy.stats._relative_risk
# cleanup[3] wiping scipy.stats._statlib
# cleanup[3] wiping scipy.stats._variation
# cleanup[3] wiping scipy.stats._stats_py
# cleanup[3] wiping scipy.stats._hypotests
# cleanup[3] wiping scipy.stats._hypotests_pythran
# cleanup[3] wiping scipy.stats._bootstrap
# cleanup[3] wiping scipy.stats._axis_nan_policy
# cleanup[3] wiping scipy._lib._docscrape
# cleanup[3] wiping scipy.stats._wilcoxon_data
# cleanup[3] wiping scipy.stats._common
# cleanup[3] wiping scipy.stats._mstats_basic
# cleanup[3] wiping scipy.stats._stats_mstats_common
# cleanup[3] wiping scipy._lib._bunch
# cleanup[3] wiping scipy.stats.distributions
# cleanup[3] wiping scipy.stats._entropy
# cleanup[3] wiping scipy.stats._discrete_distns
# cleanup[3] wiping scipy.stats._biasedurn
# cleanup[3] wiping scipy.stats._continuous_distns
# cleanup[3] wiping scipy.stats._boost
# cleanup[3] wiping scipy.stats._boost.hypergeom_ufunc
# cleanup[3] wiping hypergeom_ufunc
# cleanup[3] wiping scipy.stats._boost.nbinom_ufunc
# cleanup[3] wiping nbinom_ufunc
# cleanup[3] wiping scipy.stats._boost.binom_ufunc
# cleanup[3] wiping binom_ufunc
# cleanup[3] wiping scipy.stats._boost.beta_ufunc
# cleanup[3] wiping beta_ufunc
# cleanup[3] wiping scipy.stats._ksstats
# cleanup[3] wiping scipy.stats._tukeylambda_stats
# cleanup[3] wiping scipy.stats._stats
# cleanup[3] wiping scipy.special.cython_special
# cleanup[3] wiping scipy.interpolate
# cleanup[3] wiping scipy.interpolate.rbf
# cleanup[3] wiping scipy.interpolate.polyint
# cleanup[3] wiping scipy.interpolate.ndgriddata
# cleanup[3] wiping scipy.interpolate.interpolate
# cleanup[3] wiping scipy.interpolate.fitpack2
# cleanup[3] wiping scipy.interpolate.fitpack
# cleanup[3] wiping scipy.interpolate._pade
# cleanup[3] wiping scipy.interpolate._ndgriddata
# cleanup[3] wiping scipy.interpolate._cubic
# cleanup[3] wiping scipy.interpolate._rbfinterp
# cleanup[3] wiping scipy.interpolate._rbfinterp_pythran
# cleanup[3] wiping scipy.interpolate._rbf
# cleanup[3] wiping scipy.interpolate._interpolate
# cleanup[3] wiping scipy.interpolate.interpnd
# cleanup[3] wiping scipy.interpolate._fitpack2
# cleanup[3] wiping scipy.interpolate._ppoly
# cleanup[3] wiping scipy.interpolate._polyint
# cleanup[3] wiping scipy.interpolate._fitpack_py
# cleanup[3] wiping scipy.interpolate._bsplines
# cleanup[3] wiping scipy.interpolate._bspl
# cleanup[3] wiping scipy.interpolate._fitpack_impl
# cleanup[3] wiping scipy.interpolate.dfitpack
# cleanup[3] wiping scipy.interpolate._fitpack
# cleanup[3] wiping scipy.stats._distn_infrastructure
# cleanup[3] wiping scipy.stats._constants
# cleanup[3] wiping scipy.misc
# cleanup[3] wiping scipy.misc.doccer
# cleanup[3] wiping scipy.misc._doccer
# cleanup[3] wiping scipy.misc.common
# cleanup[3] wiping scipy.misc._common
# cleanup[3] wiping scipy.integrate
# cleanup[3] wiping scipy.integrate.quadpack
# cleanup[3] wiping scipy.integrate.odepack
# cleanup[3] wiping scipy.integrate.vode
# cleanup[3] wiping scipy.integrate.lsoda
# cleanup[3] wiping scipy.integrate.dop
# cleanup[3] wiping scipy.integrate._quad_vec
# cleanup[3] wiping scipy.integrate._ivp
# cleanup[3] wiping scipy.integrate._ivp.ivp
# cleanup[3] wiping scipy.integrate._ivp.lsoda
# cleanup[3] wiping scipy.integrate._ivp.rk
# cleanup[3] wiping scipy.integrate._ivp.dop853_coefficients
# cleanup[3] wiping scipy.integrate._ivp.radau
# cleanup[3] wiping scipy.integrate._ivp.bdf
# cleanup[3] wiping scipy.integrate._ivp.base
# cleanup[3] wiping scipy.integrate._ivp.common
# cleanup[3] wiping scipy.integrate._bvp
# cleanup[3] wiping scipy.integrate._ode
# cleanup[3] wiping scipy.integrate._lsoda
# cleanup[3] wiping scipy.integrate._dop
# cleanup[3] wiping scipy.integrate._vode
# cleanup[3] wiping scipy.integrate._quadpack_py
# cleanup[3] wiping scipy.integrate._quadpack
# cleanup[3] wiping scipy.integrate._odepack_py
# cleanup[3] wiping scipy.integrate._odepack
# cleanup[3] wiping scipy.integrate._quadrature
# cleanup[3] wiping scipy.optimize
# cleanup[3] wiping scipy.optimize.zeros
# cleanup[3] wiping scipy.optimize.tnc
# cleanup[3] wiping scipy.optimize.slsqp
# cleanup[3] wiping scipy.optimize.optimize
# cleanup[3] wiping scipy.optimize.nonlin
# cleanup[3] wiping scipy.optimize.moduleTNC
# cleanup[3] wiping scipy.optimize.minpack2
# cleanup[3] wiping scipy.optimize.minpack
# cleanup[3] wiping scipy.optimize.linesearch
# cleanup[3] wiping scipy.optimize.lbfgsb
# cleanup[3] wiping scipy.optimize.cobyla
# cleanup[3] wiping scipy.optimize._qap
# cleanup[3] wiping scipy.optimize._dual_annealing
# cleanup[3] wiping scipy.optimize._shgo
# cleanup[3] wiping scipy.optimize._shgo_lib.triangulation
# cleanup[3] wiping scipy.optimize._shgo_lib
# cleanup[3] wiping scipy.optimize._differentialevolution
# cleanup[3] wiping scipy.optimize._lsap
# cleanup[3] wiping scipy.optimize._lsap_module
# cleanup[3] wiping scipy.optimize._linprog
# cleanup[3] wiping scipy.optimize._linprog_doc
# cleanup[3] wiping scipy.optimize._linprog_rs
# cleanup[3] wiping scipy.optimize._bglu_dense
# cleanup[3] wiping scipy.optimize._linprog_simplex
# cleanup[3] wiping scipy.optimize._linprog_ip
# cleanup[3] wiping scipy.optimize._linprog_util
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None
Exception ignored in: <compiled_function Booster.__del__ at 0x0000020682686C70>
Traceback (most recent call last):
  File "C:\TEST~1.DIS\xgboost\core.py", line 1469, in __del__
AttributeError: 'NoneType' object has no attribute 'XGBoosterFree'
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# destroy csv
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# destroy dataclasses
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Where the interesting part is this:

...
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None
Exception ignored in: <compiled_function Booster.__del__ at 0x0000020682686C70>
Traceback (most recent call last):
  File "C:\TEST~1.DIS\xgboost\core.py", line 1469, in __del__
AttributeError: 'NoneType' object has no attribute 'XGBoosterFree'
# cleanup[3] wiping multiprocessing.context
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...

[kayhayen]

This may only be an incompatibility, where Nuitka outputs this, and CPython does not. When shutting down, what happens in Python is that module variables are all assigned to None and when things become disconnected, their __del__ may run, but not find the globals intact. Therefore, generally a __del__ ought to never depend on them.

In case, these do important stuff, as a developer, you ought to want to see that your cleanup code is not working, so generally supressing these during shutdown is not necessarily a good idea. In principle what ought to work is --python-flag=no_warnings which will do that. Let me know if that helps the case.

[kayhayen]

Did you have a change to try the flag I mentioned?

[interseba5]

Hi, in these days i cant test It buy whitin a week i will have an answer

[interseba5]

I have compiled it using this command:

 python -m nuitka --standalone --enable-plugin=numpy --nofollow-import-to=numba,matplotlib,sqlalchemy --python-flag=no_warnings test.py

but unfortunately again i obtain the exception message

[interseba5]

i have manage to eliminate the warning by manually delling the model like this:

...
yhat = model.predict(new_data)
print('Predicted: %.3f' % yhat)
del model

[kayhayen]

Closing for lack of feedback. I might add a test on __del__ warnings, after program end, but this issue has failed to produce an example.

[kayhayen]

A new issue should be reported if anything else comes up related to the package.