class_docstr: Perform approximate comparisons where the expected value is numpy array.
class_docstr_tok: ["Perform","approximate","comparisons","where","the","expected","value","is","numpy","array","."]
code: def __eq__(self, actual):
      import numpy as np
  
      # self.expected is supposed to always be an array here
  
      if not np.isscalar(actual):
          try:
              actual = np.asarray(actual)
          except:  # noqa
              raise TypeError(
                  "cannot compare '{}' to numpy.ndarray".format(actual)
              )
  
      if (
          not np.isscalar(actual)
          and actual.shape != self.expected.shape
      ):
          return False
  
      return ApproxBase.__eq__(self, actual)
  
imports: from __future__ import absolute_import
  import math
  import pprint
  import sys
  import warnings
  from decimal import Decimal
  from numbers import Number
  from more_itertools.more import always_iterable
  from six.moves import filterfalse
  from six.moves import zip
  import _pytest._code
  from _pytest import deprecated
  from _pytest.compat import isclass
  from _pytest.compat import Iterable
  from _pytest.compat import Mapping
  from _pytest.compat import Sized
  from _pytest.compat import STRING_TYPES
  from _pytest.outcomes import fail
label_desc: Use image node_id 2 for calling the ApproxNumpy obj's underlying member method code with example usage: obj.__eq__(actual) and returns: ApproxBase, False