77import logging
88import math
99from bisect import insort
10+ from importlib .util import find_spec
1011from pathlib import Path
1112from typing import Any , Callable , Dict , List , NamedTuple
1213
@@ -677,7 +678,7 @@ def _stock_py_converters() -> List:
677678 priority = Priority .VERY_LOW ,
678679 ),
679680 ]
680- if _import_pandas ( required = False ):
681+ if find_spec ( "pandas" ):
681682 converters .append (
682683 Converter (
683684 name = "org.scijava.table.Table -> pandas.DataFrame" ,
@@ -716,7 +717,7 @@ def _stock_py_converters() -> List:
716717 ),
717718 ]
718719 )
719- if _import_numpy ( required = False ):
720+ if find_spec ( "numpy" ):
720721 converters .append (
721722 Converter (
722723 name = "primitive array -> numpy.ndarray" ,
@@ -803,16 +804,15 @@ def _jarray_shape(jarr):
803804 return shape
804805
805806
806- def _import_numpy (required = True ):
807+ def _import_numpy ():
807808 try :
808809 import numpy as np
809810
810811 return np
811812 except ImportError as e :
812- if required :
813- msg = "The NumPy library is missing (https://numpy.org/). "
814- msg += "Please install it before using this function."
815- raise RuntimeError (msg ) from e
813+ msg = "The NumPy library is missing (https://numpy.org/). "
814+ msg += "Please install it before using this function."
815+ raise RuntimeError (msg ) from e
816816
817817
818818######################################
@@ -838,16 +838,15 @@ def _convert_table(obj: Any):
838838 return None
839839
840840
841- def _import_pandas (required = True ):
841+ def _import_pandas ():
842842 try :
843843 import pandas as pd
844844
845845 return pd
846846 except ImportError as e :
847- if required :
848- msg = "The Pandas library is missing (http://pandas.pydata.org/). "
849- msg += "Please install it before using this function."
850- raise RuntimeError (msg ) from e
847+ msg = "The Pandas library is missing (http://pandas.pydata.org/). "
848+ msg += "Please install it before using this function."
849+ raise RuntimeError (msg ) from e
851850
852851
853852def _table_to_pandas (table ):
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