class_docstr: Convert a sequence of dense/sparse vectors into a streamed Gensim corpus object.
  
  See Also
  --------
  :func:`~gensim.matutils.corpus2csc`
      Convert corpus in Gensim format to `scipy.sparse.csc` matrix.
class_docstr_tok: ["Convert","a","sequence","of","dense\/sparse","vectors","into","a","streamed","Gensim","corpus","object",".","See","Also","--","--","--","--",":","func",":","`","~gensim.matutils.corpus2csc","`","Convert","corpus","in","Gensim","format","to","`","scipy.sparse.csc","`","matrix","."]
code: def __len__(self):
      return len(self.vecs)
  
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 Scipy2Corpus obj's underlying member method code with example usage: obj.__len__() and returns: len