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     each of the strings of the input language into all of its
     possible realization. In other words, upper is the composition
     of the input language with GEN. The lower network represents
     a constraint language that rules out some, maybe all of the
     outputs. The result of the lenient composition is a network that
     maps each input string to the outputs that meet the constraint
     if there are any, eliminating the outputs that violate the
     constraint. However, if none of the outputs of a given input
     meet the constraint, all of them remain. That is, lenient
     composition guarantees that every input has outputs. A set
     of ranked OT constraints can be implemented as a cascade of
     lenient compositions with the most higly ranked constraint on
     the top of the cascade. */

  NETptr close_sigma(NETptr net, ALPHABETptr new_symbols,
  		     int copy_p, int minimize_p);
  /* Error handling */

  void set_error_function(void (*fn)(const char *message,
				     const char *function_name,
                                     int code));

  void set_warning_function(void (*fn)(const char *message,