*
     *    dX = U / Y
     *    dY = -U*X / Y^2 = (X/Y) * -U / Y = -U*Z / Y
     *
     */

    AbstractTensorHandle* upstream_grad = grad_outputs[0];
    AbstractTensorHandle* Y = forward_inputs_[1];
    AbstractTensorHandle* Z = forward_outputs_[0];

    // Calculate dX =  U / Y
    std::string name = "Div_Grad_X";
    TF_RETURN_IF_ERROR(

				}
			}
			if tok == scanner.EOF {
				p.errorf("unexpected EOF")
				return "", "", nil, false
			}
			// Split operands on comma. Also, the old syntax on x86 for a "register pair"
			// was AX:DX, for which the new syntax is DX, AX. Note the reordering.
			if tok == '\n' || tok == ';' || (nesting == 0 && (tok == ',' || tok == ':')) {
				if tok == ':' {
					// Remember this location so we can swap the operands below.

  op_tape_.erase(op_it);
}

// Terminology:
//
//  - op: a possibly composite operation, which has an entry in the tape
//  - target: dy in dx/dy
//  - source: dx in dx/dy
//  - tensor: one of the many inputs or outputs of an operation
//
// Below here we do the gradient algorithm. It works as follows:
//

        NewInternalScope(&g->graph, &status->status, &g->refiner)
            .NewSubScope(child_scope_name);

    if (dx != nullptr) {
      std::vector<tensorflow::Output> dx_arg = OutputsFromTFOutputs(dx, ny);
      status->status =
          AddSymbolicGradients(scope, y_arg, x_arg, dx_arg, &dy_arg);
    } else {
      status->status = AddSymbolicGradients(scope, y_arg, x_arg, &dy_arg);
    }

	for i := start; i <= number; i++ {
		if paddinglen == 0 {
			seq = append(seq, fmt.Sprintf("%x", i))
		} else {
			seq = append(seq, fmt.Sprintf(fmt.Sprintf("%%0%dx", paddinglen), i))
		}
	}
	return seq
}

func getSequences(start int, number int, paddinglen int) (seq []string) {
	for i := start; i <= number; i++ {
		if paddinglen == 0 {

        assertEquals(ConfigType.WEB, crawlingConfigHelper.getConfigType("WX"));
        assertEquals(ConfigType.FILE, crawlingConfigHelper.getConfigType("FX"));
        assertEquals(ConfigType.DATA, crawlingConfigHelper.getConfigType("DX"));
    }

    public void test_getCrawlingConfig() {
        crawlingConfigHelper.refresh();
        assertNull(crawlingConfigHelper.getCrawlingConfig(null));

  TF_Operation* y = Placeholder(graph_, s_, "y", TF_FLOAT);
  TF_Operation* xy = Mul(x, y, graph_, s_, "xy");
  TF_Output dxy_dx, dxy_dy;

  TF_Output outputs[1] = {{xy, 0}};
  TF_Output inputs[1] = {{x, 0}};
  TF_AddGradients(graph_, outputs, 1, inputs, 1, nullptr, s_, &dxy_dx);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

  inputs[0] = {y, 0};

		Endpoint: provider.Endpoint(),

		// "openid" is a required scope for OpenID Connect flows.
		Scopes: []string{oidc.ScopeOpenID, "groups"},
	}

	state := fmt.Sprintf("x%dx", time.Now().Unix())
	authCodeURL := oauth2Config.AuthCodeURL(state)
	// fmt.Printf("authcodeurl: %s\n", authCodeURL)

	var lastReq *http.Request
	checkRedirect := func(req *http.Request, via []*http.Request) error {