code: def sparse_constructor(
      value,
      name=None,
      strict=False,
      allow_downcast=None,
      borrow=False,
      format=None,
  ):
      """
      SharedVariable Constructor for SparseType.
  
      writeme
  
      """
      if not isinstance(value, scipy.sparse.spmatrix):
          raise TypeError(
              "Expected a sparse matrix in the sparse shared variable constructor. Received: ",
              value.__class__,
          )
  
      if format is None:
          format = value.format
      type = SparseType(format=format, dtype=value.dtype)
      if not borrow:
          value = copy.deepcopy(value)
      return SparseTensorSharedVariable(
          type=type,
          value=value,
          name=name,
          strict=strict,
          allow_downcast=allow_downcast,
      )
  
file_path: Theano/theano/sparse/sharedvar.py
imports: from __future__ import absolute_import, print_function, division
  import copy
  import scipy.sparse
  from theano.compile import shared_constructor, SharedVariable
  from theano.sparse.basic import SparseType, _sparse_py_operators
label_desc: Use image node_id 1 for calling a global function with example usage: sparse_constructor(value, name, strict, allow_downcast, borrow, format) and returns: SparseTensorSharedVariable