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=TensorType(dtype="float64", shape=(None,)),
          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=TensorType(dtype="float64", shape=(None,)),
          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=TensorType(dtype="float64", shape=(None,)),
          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=TensorType(dtype="float64", shape=(None,)),
              value=dict(),  # not an array by any stretch
              strict=False,
          )
          assert 0
      except TypeError:
          pass
  
file_path: pytensor/tests/compile/test_shared.py
imports: import numpy
  import pytest
  import pytensor.tensor
  from pytensor.compile.sharedvalue import SharedVariable, shared
  from pytensor.configdefaults import config
  from pytensor.link.c.type import generic
  from pytensor.misc.safe_asarray import _asarray
  from pytensor.tensor.type import TensorType, bscalar, bvector, dscalar, dvector, fscalar, fvector, iscalar, ivector, lscalar, lvector, wscalar, wvector
  from pytensor.utils import PYTHON_INT_BITWIDTH
label_desc: Use image node_id 3 for calling the TestSharedVariable obj's underlying member method code with example usage: obj.test_create_numpy_strict_false() without return types