} else if (userAgent.indexOf("Safari") >= 0) {
                        uaType = UserAgentType.SAFARI;
                    } else if (userAgent.indexOf("Opera") >= 0) {
                        uaType = UserAgentType.OPERA;
                    }
                }
                if (uaType == null) {
                    uaType = UserAgentType.OTHER;
                }

    }

    public void test_getUserAgentType_Opera() {
        getMockRequest().addHeader("user-agent", "Opera/9.80 (X11; U; Linux x86_64) Presto/2.9.181 Version/12.00");
        assertEquals(UserAgentType.OPERA, userAgentHelper.getUserAgentType());
    }

    public void test_getUserAgentType_OTHER() {
        getMockRequest().addHeader("user-agent", "Dummy");

            }
            break;
        case OPERA:
            if (isLocalFile) {
                url = url.replaceFirst("file:/+", systemProperties.getProperty("file.protocol.winlocal.opera", "file://"));
            } else {
                url = url.replaceFirst("file:/+", systemProperties.getProperty("file.protocol.opera", "file://"));
            }
            break;
        default:

    std::unordered_map<const Node*, std::vector<int>>* input_nodes)
    TF_EXCLUSIVE_LOCKS_REQUIRED(fn_body->mu) {
  input_tensors->reserve(ninputs);
  for (int i = 0; i < ninputs; ++i) {
    Node* node = inputs[i].oper ? &inputs[i].oper->node : nullptr;
    int idx = inputs[i].index;

    TF_RETURN_WITH_CONTEXT_IF_ERROR(
        fn_body->graph.IsValidOutputTensor(node, idx),

// Represents a specific input of an operation.
typedef struct TF_Input {
  TF_Operation* oper;
  int index;  // The index of the input within oper.
} TF_Input;

// Represents a specific output of an operation.
typedef struct TF_Output {
  TF_Operation* oper;
  int index;  // The index of the output within oper.
} TF_Output;

// TF_Function is a grouping of operations with defined inputs and outputs.

const char* TF_OperationName(TF_Operation* oper) {
  return oper->node.name().c_str();
}

const char* TF_OperationOpType(TF_Operation* oper) {
  return oper->node.type_string().c_str();
}

const char* TF_OperationDevice(TF_Operation* oper) {
  return oper->node.requested_device().c_str();
}

int TF_OperationNumOutputs(TF_Operation* oper) {
  return oper->node.num_outputs();
}

opencraft.hosting

// OpenResearch GmbH: https://openresearch.com/
// Submitted by Philipp Schmid <******@****.***>
orsites.com

// Opera Software, A.S.A.
// Submitted by Yngve Pettersen <yngve@opera.com>
operaunite.com

// Orange : https://www.orange.com
// Submitted by Alexandre Linte <******@****.***>
tech.orange

  bool found_neg = false;
  size_t pos = 0;
  TF_Operation* oper;
  while ((oper = TF_GraphNextOperation(graph, &pos)) != nullptr) {
    if (oper == feed) {
      EXPECT_FALSE(found_placeholder);
      found_placeholder = true;
    } else if (oper == three) {
      EXPECT_FALSE(found_scalar_const);
      found_scalar_const = true;
    } else if (oper == add) {
      EXPECT_FALSE(found_add);
      found_add = true;

		return nil, errExpectedBool
	}
	return FromBool(!b), nil
}

func (e *ConditionOperand) evalNode(r Record, tableAlias string) (*Value, error) {
	opVal, opErr := e.Operand.evalNode(r, tableAlias)
	if opErr != nil || e.ConditionRHS == nil {
		return opVal, opErr
	}

	// Need to evaluate the ConditionRHS
	switch {
	case e.ConditionRHS.Compare != nil:

bool GetGraphDef(TF_Graph* graph, tensorflow::GraphDef* graph_def);

bool GetNodeDef(TF_Operation* oper, tensorflow::NodeDef* node_def);

bool GetFunctionDef(TF_Function* func, tensorflow::FunctionDef* func_def);

bool GetAttrValue(TF_Operation* oper, const char* attr_name,
                  tensorflow::AttrValue* attr_value, TF_Status* s);