code: def _blas_is_applicable(*args):
      
      if any(x.dtype != args[0].dtype for x in args[1:]):
          return False
      elif any(x.dtype not in _BLAS_DTYPES for x in args):
          return False
      elif not (all(x.flags.f_contiguous for x in args) or
                all(x.flags.c_contiguous for x in args)):
          return False
      elif any(x.size > np.iinfo('int32').max for x in args):
          # Temporary fix for 32 bit int overflow in BLAS
          # TODO: use chunking instead
          return False
      else:
          return True
docs: Whether BLAS routines can be applied or not.
  
      BLAS routines are available for single and double precision
      float or complex data only. If the arrays are non-contiguous,
      BLAS methods are usually slower, and array-writing routines do
      not work at all. Hence, only contiguous arrays are allowed.
  
      Parameters
      ----------
      x1,...,xN : `NumpyTensor`
          The tensors to be tested for BLAS conformity.
  
      Returns
      -------
      blas_is_applicable : bool
          ``True`` if all mentioned requirements are met, ``False`` otherwise.