class_docstr: Tests for the load_and_remap_matrix() op.
  
  (Specifically focused on the max_rows_in_memory arg and its effects on
  TensorBundle's BundleReader and TensorSlice logic).
docstr: Tests loading normal var as a single slice.
  
  (When the specified max_rows_in_memory is larger than the number of rows)
docstr_tok: ["Tests","loading","normal","var","as","a","single","slice",".","(","When","the","specified","max_rows_in_memory","is","larger","than","the","number","of","rows",")"]
code: def test_loading_rows_less_than_max_rows(self):
      """Tests loading normal var as a single slice.
  
      (When the specified max_rows_in_memory is larger than the number of rows)
      """
      self._test_loading_variable_with_max_rows(
          np_value=np.reshape(list(range(0, 36)), (9, 4)),
          partitioner=None,
          # 10 > 9.
          max_rows_in_memory=10,
      )
  
imports: import os
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gen_checkpoint_ops
  from tensorflow.python.ops import partitioned_variables
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import flags
  from tensorflow.python.platform import test
  from tensorflow.python.training import saver
label_desc: Use image node_id 4 for calling the LoadAndRemapMatrixWithMaxRowsTest obj's underlying member method code with example usage: obj.test_loading_rows_less_than_max_rows() without return types