code: def ger_c_code(A, a, x, y, Z, fail, params):
      return (
          """
  
      int elemsize ;
  
      if (PyArray_NDIM(%(A)s) != 2)
      {PyErr_SetString(PyExc_NotImplementedError, "rank(A) != 2"); %(fail)s;}
      if (PyArray_NDIM(%(x)s) != 1)
      {PyErr_SetString(PyExc_NotImplementedError, "rank(x) != 1"); %(fail)s;}
      if (PyArray_NDIM(%(y)s) != 1)
      {PyErr_SetString(PyExc_NotImplementedError, "rank(y) != 1"); %(fail)s;}
      if (PyArray_NDIM(%(a)s) != 0)
      {PyErr_SetString(PyExc_NotImplementedError, "rank(a) != 0"); %(fail)s;}
  
      if (PyArray_DESCR(%(A)s)->type_num != PyArray_DESCR(%(x)s)->type_num)
      { PyErr_SetString(PyExc_TypeError, "A vs. x"); %(fail)s; }
      if (PyArray_DESCR(%(A)s)->type_num != PyArray_DESCR(%(y)s)->type_num)
      { PyErr_SetString(PyExc_TypeError, "A vs. y"); %(fail)s; }
  
      if (PyArray_DIMS(%(A)s)[0] != PyArray_DIMS(%(x)s)[0])
      {
          PyErr_SetString(PyExc_ValueError,
                          "Shape mismatch: A.shape[0] != x.shape[0]");
          %(fail)s;
      }
      if (PyArray_DIMS(%(A)s)[1] != PyArray_DIMS(%(y)s)[0])
      {
          PyErr_SetString(PyExc_ValueError,
                          "Shape mismatch: A.shape[1] != y.shape[0]");
          %(fail)s;
      }
  
      if  (PyArray_DESCR(%(A)s)->type_num == NPY_DOUBLE) { elemsize = 8; }
      else if (PyArray_DESCR(%(A)s)->type_num == NPY_FLOAT) { elemsize = 4;}
      else
      {
          PyErr_SetString(PyExc_NotImplementedError, "complex CGer");
          %(fail)s;
      }
  
      // copy A if !self.destructive or A is fully strided
      if (!%(params)s->destructive
          || (PyArray_STRIDES(%(A)s)[0] < 0)
          || (PyArray_STRIDES(%(A)s)[1] < 0)
          || ((PyArray_STRIDES(%(A)s)[0] != elemsize)
              && (PyArray_STRIDES(%(A)s)[1] != elemsize)))
      {
          npy_intp dims[2];
          dims[0] = PyArray_DIMS(%(A)s)[0];
          dims[1] = PyArray_DIMS(%(A)s)[1];
  
          if ((NULL == %(Z)s)
              || (PyArray_DIMS(%(Z)s)[0] != PyArray_DIMS(%(A)s)[0])
              || (PyArray_DIMS(%(Z)s)[1] != PyArray_DIMS(%(A)s)[1])
              || (PyArray_STRIDES(%(Z)s)[0] < 0)
              || (PyArray_STRIDES(%(Z)s)[1] < 0)
              || ((PyArray_STRIDES(%(Z)s)[0] != elemsize)
                  && (PyArray_STRIDES(%(Z)s)[1] != elemsize)))
          {
              Py_XDECREF(%(Z)s);
              %(Z)s = (PyArrayObject*) PyArray_SimpleNew(2, dims,
                                                         PyArray_TYPE(%(A)s));
              if(!%(Z)s) {
                  PyErr_SetString(PyExc_MemoryError,
                                  "failed to alloc ger output");
                  %(fail)s
              }
          }
          if (%(Z)s == %(A)s)
          {
              PyErr_SetString(PyExc_AssertionError, "%(Z)s != %(A)s");
              %(fail)s
          }
          if (PyArray_DESCR(%(Z)s)->type_num == NPY_FLOAT)
          {
              float * zoutdata = (float*)PyArray_DATA(%(Z)s);
              const float * zdata = (float*)PyArray_DATA(%(A)s);
              const float * xdata = (float*)PyArray_DATA(%(x)s);
              const float * ydata = (float*)PyArray_DATA(%(y)s);
              const float * adata = (float*)PyArray_DATA(%(a)s);
              const float alpha = adata[0];
              float tmp, xx;
              int Ai = PyArray_STRIDES(%(A)s)[0]/sizeof(float);
              int Aj = PyArray_STRIDES(%(A)s)[1]/sizeof(float);
              int Zi = PyArray_STRIDES(%(Z)s)[0]/sizeof(float);
              int Zj = PyArray_STRIDES(%(Z)s)[1]/sizeof(float);
              int xi = PyArray_STRIDES(%(x)s)[0]/sizeof(float);
              int yj = PyArray_STRIDES(%(y)s)[0]/sizeof(float);
              for (int i = 0; i < dims[0]; ++i)
              {
                  xx = alpha * xdata[xi * i];
                  for (int j = 0; j < dims[1]; ++j)
                  {
                      tmp = zdata[Ai*i+Aj*j];
                      tmp += xx * ydata[yj * j];
                      zoutdata[Zi*i+Zj*j] = tmp;
                  }
              }
          }
          else if (PyArray_DESCR(%(Z)s)->type_num == NPY_DOUBLE)
          {
              double * zoutdata = (double*) PyArray_DATA(%(Z)s);
              const double * zdata = (double*)PyArray_DATA(%(A)s);
              const double * xdata = (double*)PyArray_DATA(%(x)s);
              const double * ydata = (double*)PyArray_DATA(%(y)s);
              const double * adata = (double*)PyArray_DATA(%(a)s);
              const double alpha = adata[0];
              double tmp, xx;
  
              int Ai = PyArray_STRIDES(%(A)s)[0]/sizeof(double);
              int Aj = PyArray_STRIDES(%(A)s)[1]/sizeof(double);
              int Zi = PyArray_STRIDES(%(Z)s)[0]/sizeof(double);
              int Zj = PyArray_STRIDES(%(Z)s)[1]/sizeof(double);
              int xi = PyArray_STRIDES(%(x)s)[0]/sizeof(double);
              int yj = PyArray_STRIDES(%(y)s)[0]/sizeof(double);
              for (int i = 0; i < dims[0]; ++i)
              {
                  xx = alpha * xdata[xi * i];
                  for (int j = 0; j < dims[1]; ++j)
                  {
                      tmp = zdata[Ai*i+Aj*j];
                      tmp += xx * ydata[yj * j];
                      zoutdata[Zi*i+Zj*j] = tmp;
                  }
              }
          }
          else
          {
              PyErr_SetString(PyExc_AssertionError,
                              "neither float nor double dtype");
              %(fail)s
          }
      }
      else
      {
          if (%(Z)s != %(A)s)
          {
              if (%(Z)s) { Py_DECREF(%(Z)s); }
              %(Z)s = %(A)s;
              Py_INCREF(%(Z)s);
          }
          npy_intp dims[2];
          dims[0] = PyArray_DIMS(%(A)s)[0];
          dims[1] = PyArray_DIMS(%(A)s)[1];
          if ((dims[0] * dims[1]) < 100000)
          {
              if (PyArray_DESCR(%(Z)s)->type_num == NPY_FLOAT)
              {
                  float * zoutdata = (float*)PyArray_DATA(%(Z)s);
                  const float * xdata = (float*)PyArray_DATA(%(x)s);
                  const float * ydata = (float*)PyArray_DATA(%(y)s);
                  const float * adata = (float*)PyArray_DATA(%(a)s);
                  const float alpha = adata[0];
                  float tmp, axi;
                  int Zi = PyArray_STRIDES(%(Z)s)[0]/sizeof(float);
                  int Zj = PyArray_STRIDES(%(Z)s)[1]/sizeof(float);
                  int xi = PyArray_STRIDES(%(x)s)[0]/sizeof(float);
                  int yj = PyArray_STRIDES(%(y)s)[0]/sizeof(float);
                  for (int i = 0; i < dims[0]; ++i)
                  {
                      axi = alpha * xdata[xi * i];
                      for (int j = 0; j < dims[1]; ++j)
                      {
                          zoutdata[Zi*i+Zj*j] += axi * ydata[yj * j];
                      }
                  }
              }
              else if (PyArray_DESCR(%(Z)s)->type_num == NPY_DOUBLE)
              {
                  double * zoutdata = (double*) PyArray_DATA(%(Z)s);
                  const double * xdata = (double*)PyArray_DATA(%(x)s);
                  const double * ydata = (double*)PyArray_DATA(%(y)s);
                  const double * adata = (double*)PyArray_DATA(%(a)s);
                  const double alpha = adata[0];
                  double tmp, axi;
  
                  int Zi = PyArray_STRIDES(%(Z)s)[0]/sizeof(double);
                  int Zj = PyArray_STRIDES(%(Z)s)[1]/sizeof(double);
                  int xi = PyArray_STRIDES(%(x)s)[0]/sizeof(double);
                  int yj = PyArray_STRIDES(%(y)s)[0]/sizeof(double);
                  for (int i = 0; i < dims[0]; ++i)
                  {
                      axi = alpha * xdata[xi * i];
                      for (int j = 0; j < dims[1]; ++j)
                      {
                          zoutdata[Zi*i+Zj*j] += axi * ydata[yj * j];
                      }
                  }
              }
          }
          else
          {
              int Nz0 = PyArray_DIMS(%(Z)s)[0];
              int Nz1 = PyArray_DIMS(%(Z)s)[1];
              int Sx = PyArray_STRIDES(%(x)s)[0] / elemsize;
              int Sy = PyArray_STRIDES(%(y)s)[0] / elemsize;
  
              /* create appropriate strides for Z, if it is a row or column matrix.
               * In that case, the value of the stride does not really matter, but
               * some versions of BLAS insist that:
               *  - they are not smaller than the number of elements in the array,
               *  - they are not 0.
               */
              int Sz0 = (Nz0 > 1) ? (PyArray_STRIDES(%(Z)s)[0] / elemsize) : (Nz1 + 1);
              int Sz1 = (Nz1 > 1) ? (PyArray_STRIDES(%(Z)s)[1] / elemsize) : (Nz0 + 1);
  
              dtype_%(x)s* x_data = (dtype_%(x)s*) PyArray_DATA(%(x)s);
              dtype_%(y)s* y_data = (dtype_%(y)s*) PyArray_DATA(%(y)s);
              // gemv expects pointers to the beginning of memory arrays,
              // but numpy provides provides a pointer to the first element,
              // so when the stride is negative, we need to get the last one.
              if (Sx < 0)
                  x_data += (Nz0 - 1) * Sx;
              if (Sy < 0)
                  y_data += (Nz1 - 1) * Sy;
  
              if (PyArray_STRIDES(%(Z)s)[0] == elemsize)
              {
                  if (PyArray_DESCR(%(Z)s)->type_num == NPY_FLOAT)
                  {
                      float alpha = ((dtype_%(a)s*)PyArray_DATA(%(a)s))[0];
                      sger_(&Nz0, &Nz1, &alpha,
                          (float*)x_data, &Sx,
                          (float*)y_data, &Sy,
                          (float*)(PyArray_DATA(%(Z)s)), &Sz1);
                  }
                  else if (PyArray_DESCR(%(Z)s)->type_num == NPY_DOUBLE)
                  {
                      double alpha = ((dtype_%(a)s*)PyArray_DATA(%(a)s))[0];
                      dger_(&Nz0, &Nz1, &alpha,
                          (double*)x_data, &Sx,
                          (double*)y_data, &Sy,
                          (double*)(PyArray_DATA(%(Z)s)), &Sz1);
  
  
                  }
                  else {
                      PyErr_SetString(PyExc_NotImplementedError,
                                      "not float nor double");
                      %(fail)s
                  }
              }
              else if (PyArray_STRIDES(%(Z)s)[1] == elemsize)
              {
                  if (PyArray_DESCR(%(Z)s)->type_num == NPY_FLOAT)
                  {
                      float alpha = ((dtype_%(a)s*)(PyArray_DATA(%(a)s)))[0];
                      sger_(&Nz1, &Nz0, &alpha,
                          (float*)y_data, &Sy,
                          (float*)x_data, &Sx,
                          (float*)(PyArray_DATA(%(Z)s)), &Sz0);
                  }
                  else if (PyArray_DESCR(%(Z)s)->type_num == NPY_DOUBLE)
                  {
                      double alpha = ((dtype_%(a)s*)PyArray_DATA(%(a)s))[0];
                      dger_(&Nz1, &Nz0, &alpha,
                          (double*)y_data, &Sy,
                          (double*)x_data, &Sx,
                          (double*)(PyArray_DATA(%(Z)s)), &Sz0);
                  }
                  else
                  {
                      PyErr_SetString(PyExc_NotImplementedError,
                                      "not float nor double");
                      %(fail)s
                  }
              }
              else
              {
                  PyErr_SetString(PyExc_AssertionError,
                      "A is a double-strided matrix, and should have been copied "
                      "into a memory-contiguous one.");
                  %(fail)s
              }
          }
      }
  
      """
          % locals()
      )
  
imports: from __future__ import absolute_import, print_function, division
  from theano import config
  from theano.gof.params_type import ParamsType
  from theano.scalar import bool
  from theano.tensor.opt import in2out
  from theano.tensor.blas import ldflags, blas_header_text, blas_header_version
  from theano.tensor.blas import blas_optdb, optdb, local_optimizer
  from theano.tensor.blas import Ger, ger, ger_destructive
  from theano.tensor.blas import Gemv, gemv_inplace, gemv_no_inplace
  from theano.tensor import basic
label_desc: Use image node_id 1 for calling a global function with example usage: ger_c_code(A, a, x, y, Z, fail, params) and returns: unknown