code: def test_create_numpy_strict_false(self):
      # here the value is perfect, and we're not strict about it,
      # so creation should work
      SharedVariable(
          name="u",
          type=Tensor(broadcastable=[False], dtype="float64"),
          value=np.asarray([1.0, 2.0]),
          strict=False,
      )
  
      # here the value is castable, and we're not strict about it,
      # so creation should work
      SharedVariable(
          name="u",
          type=Tensor(broadcastable=[False], dtype="float64"),
          value=[1.0, 2.0],
          strict=False,
      )
  
      # here the value is castable, and we're not strict about it,
      # so creation should work
      SharedVariable(
          name="u",
          type=Tensor(broadcastable=[False], dtype="float64"),
          value=[1, 2],  # different dtype and not a numpy array
          strict=False,
      )
  
      # here the value is not castable, and we're not strict about it,
      # this is beyond strictness, it must fail
      try:
          SharedVariable(
              name="u",
              type=Tensor(broadcastable=[False], dtype="float64"),
              value=dict(),  # not an array by any stretch
              strict=False,
          )
          assert 0
      except TypeError:
          pass
  
file_path: Theano/theano/compile/tests/test_shared.py
imports: from __future__ import absolute_import, print_function, division
  import numpy
  import unittest
  import theano
  from theano.tensor import Tensor, TensorType
  from theano.compile.sharedvalue import shared
  from theano.compile.sharedvalue import SharedVariable
  from theano.compile.sharedvalue import generic
label_desc: Use image node_id 3 for calling the Test_SharedVariable obj's underlying member method code with example usage: obj.test_create_numpy_strict_false() without return types