class_docstr: sklearn specific Array API compatibility wrapper
  
  This wrapper makes it possible for scikit-learn maintainers to
  deal with discrepancies between different implementations of the
  Python array API standard and its evolution over time.
  
  The Python array API standard specification:
  https://data-apis.org/array-api/latest/
  
  Documentation of the NumPy implementation:
  https://numpy.org/neps/nep-0047-array-api-standard.html
class_docstr_tok: ["sklearn","specific","Array","API","compatibility","wrapper","This","wrapper","makes","it","possible","for","scikit-learn","maintainers","to","deal","with","discrepancies","between","different","implementations","of","the","Python","array","API","standard","and","its","evolution","over","time",".","The","Python","array","API","standard","specification",":","https",":","\/\/data-apis.org\/array-api\/latest\/","Documentation","of","the","NumPy","implementation",":","https",":","\/\/numpy.org\/neps\/nep-0047-array-api-standard.html"]
code: def __init__(self, array_namespace):
      self._namespace = array_namespace
  
imports: import math
  from functools import wraps
  import numpy
  import scipy.special
  from .._config import get_config
  from .fixes import parse_version
label_desc: Use image node_id 1 to create a new _ArrayAPIWrapper object  with example: obj = _ArrayAPIWrapper(array_namespace)