Import tslearn.clustering AttributeError: 'NoneType' object has no attribute 'split'

[aidenblake2]

Describe the bug
Not able to import "TimeSeriesKMeans" from tslearn.clustering. It is resulting in following error message:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-2-1244b8a78c7e> in <module>
      2 import pandas as pd
      3 import matplotlib.pyplot as plt
----> 4 from tslearn.clustering import TimeSeriesKMeans
      5 from tslearn.clustering import silhouette_score

~\anaconda3\lib\site-packages\tslearn\clustering\__init__.py in <module>
      6  details.
      7 """
----> 8 from .kshape import KShape
      9 from .utils import (EmptyClusterError, silhouette_score,
     10                     TimeSeriesCentroidBasedClusteringMixin)

~\anaconda3\lib\site-packages\tslearn\clustering\kshape.py in <module>
      7 from sklearn.utils import check_array
      8 from sklearn.utils.validation import check_is_fitted
----> 9 from tslearn.preprocessing import TimeSeriesScalerMeanVariance
     10 from tslearn.utils import to_time_series_dataset, check_dims
     11 from tslearn.metrics import cdist_normalized_cc, y_shifted_sbd_vec

~\anaconda3\lib\site-packages\tslearn\preprocessing\__init__.py in <module>
      4 """
      5 
----> 6 from .preprocessing import (
      7     TimeSeriesScalerMeanVariance,
      8     TimeSeriesScalerMinMax,

~\anaconda3\lib\site-packages\tslearn\preprocessing\preprocessing.py in <module>
      6 import warnings
      7 
----> 8 from tslearn.utils import (to_time_series_dataset, check_equal_size, ts_size,
      9                            check_dims)
     10 from tslearn.bases import TimeSeriesBaseEstimator

~\anaconda3\lib\site-packages\tslearn\utils\__init__.py in <module>
      3 """
      4 
----> 5 from .utils import (
      6     check_dims,
      7     check_equal_size,

~\anaconda3\lib\site-packages\tslearn\utils\utils.py in <module>
     14 
     15 try:
---> 16     from sklearn.utils.estimator_checks import _NotAnArray as NotAnArray
     17 except ImportError:  # Old sklearn versions
     18     from sklearn.utils.estimator_checks import NotAnArray

~\anaconda3\lib\site-packages\sklearn\utils\estimator_checks.py in <module>
     16 from .. import config_context
     17 from ._param_validation import Interval
---> 18 from ._testing import _get_args
     19 from ._testing import assert_raise_message
     20 from ._testing import assert_array_equal

~\anaconda3\lib\site-packages\sklearn\utils\_testing.py in <module>
    398     fails_if_pypy = pytest.mark.xfail(IS_PYPY, reason="not compatible with PyPy")
    399     fails_if_unstable_openblas = pytest.mark.xfail(
--> 400         _in_unstable_openblas_configuration(),
    401         reason="OpenBLAS is unstable for this configuration",
    402     )

~\anaconda3\lib\site-packages\sklearn\utils\__init__.py in _in_unstable_openblas_configuration()
     88     import scipy  # noqa
     89 
---> 90     modules_info = threadpool_info()
     91 
     92     open_blas_used = any(info["internal_api"] == "openblas" for info in modules_info)

~\anaconda3\lib\site-packages\sklearn\utils\fixes.py in threadpool_info()
    148         return controller.info()
    149     else:
--> 150         return threadpoolctl.threadpool_info()
    151 
    152 

~\anaconda3\lib\site-packages\threadpoolctl.py in threadpool_info()
    122     In addition, each module may contain internal_api specific entries.
    123     """
--> 124     return _ThreadpoolInfo(user_api=_ALL_USER_APIS).todicts()
    125 
    126 

~\anaconda3\lib\site-packages\threadpoolctl.py in __init__(self, user_api, prefixes, modules)
    338 
    339             self.modules = []
--> 340             self._load_modules()
    341             self._warn_if_incompatible_openmp()
    342         else:

~\anaconda3\lib\site-packages\threadpoolctl.py in _load_modules(self)
    371             self._find_modules_with_dyld()
    372         elif sys.platform == "win32":
--> 373             self._find_modules_with_enum_process_module_ex()
    374         else:
    375             self._find_modules_with_dl_iterate_phdr()

~\anaconda3\lib\site-packages\threadpoolctl.py in _find_modules_with_enum_process_module_ex(self)
    483 
    484                 # Store the module if it is supported and selected
--> 485                 self._make_module_from_path(filepath)
    486         finally:
    487             kernel_32.CloseHandle(h_process)

~\anaconda3\lib\site-packages\threadpoolctl.py in _make_module_from_path(self, filepath)
    513             if prefix in self.prefixes or user_api in self.user_api:
    514                 module_class = globals()[module_class]
--> 515                 module = module_class(filepath, prefix, user_api, internal_api)
    516                 self.modules.append(module)
    517 

~\anaconda3\lib\site-packages\threadpoolctl.py in __init__(self, filepath, prefix, user_api, internal_api)
    604         self.internal_api = internal_api
    605         self._dynlib = ctypes.CDLL(filepath, mode=_RTLD_NOLOAD)
--> 606         self.version = self.get_version()
    607         self.num_threads = self.get_num_threads()
    608         self._get_extra_info()

~\anaconda3\lib\site-packages\threadpoolctl.py in get_version(self)
    644                              lambda: None)
    645         get_config.restype = ctypes.c_char_p
--> 646         config = get_config().split()
    647         if config[0] == b"OpenBLAS":
    648             return config[1].decode("utf-8")

AttributeError: 'NoneType' object has no attribute 'split'

To Reproduce
from tslearn.clustering import TimeSeriesKMeans

Expected behavior
import tslearn.clustering without any error message

Environment (please complete the following information):

• OS: Windows 10
• tslearn version 0.5.3

[csuxx58]

upgrade threadpoolctl