code: def create_variable(
      self,
      feature_column,
      name,
      shape,
      dtype=None,
      trainable=True,
      use_resource=True,
      initializer=None,
  ):
      if feature_column not in self._all_variables:
          self._all_variables[feature_column] = {}
      var_dict = self._all_variables[feature_column]
      if name in var_dict:
          return var_dict[name]
      else:
          var = variable_scope.get_variable(
              name=name,
              shape=shape,
              dtype=dtype,
              trainable=self._trainable and trainable,
              use_resource=use_resource,
              initializer=initializer,
          )
          var_dict[name] = var
          return var
  
imports: import copy
  from absl.testing import parameterized
  from tensorflow.python.client import session
  from tensorflow.python.feature_column import feature_column_lib
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import lookup_ops
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.tpu import feature_column_v2
  from tensorflow.python.tpu import tpu_function
label_desc: Use image node_id 2 for calling the _TestStateManager obj's underlying member method code with example usage: obj.create_variable(feature_column, name, shape, dtype, trainable, use_resource, initializer) and returns: var_dict, var