class_docstr: Convert a matrix in scipy.sparse format into a streaming Gensim corpus.
  
  See Also
  --------
  :func:`~gensim.matutils.corpus2csc`
      Convert gensim corpus format to `scipy.sparse.csc` matrix
  :class:`~gensim.matutils.Dense2Corpus`
      Convert dense matrix to gensim corpus.
class_docstr_tok: ["Convert","a","matrix","in","scipy.sparse","format","into","a","streaming","Gensim","corpus",".","See","Also","--","--","--","--",":","func",":","`","~gensim.matutils.corpus2csc","`","Convert","gensim","corpus","format","to","`","scipy.sparse.csc","`","matrix",":","class",":","`","~gensim.matutils.Dense2Corpus","`","Convert","dense","matrix","to","gensim","corpus","."]
code: def __len__(self):
      return self.sparse.shape[1]
  
imports: from __future__ import with_statement
  import logging
  import math
  from gensim import utils
  import numpy
  import scipy.sparse
  from scipy.stats import entropy
  from scipy.linalg import get_blas_funcs, triu
  from scipy.linalg.lapack import get_lapack_funcs
  from scipy.special import psi
label_desc: Use image node_id 3 for calling the Sparse2Corpus obj's underlying member method code with example usage: obj.__len__() and returns: self