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is itself a formula which may contain formulas and so on We don t have to concern ourselves with whitespace between tokens since we created a t_ignore regex which told the lexer to ignore (ie, skip) whitespace In this example, we could just as easily have created two separate functions, say, p_formula_forall() and p_formula_exists(), giving them one alternative of the BNF each and the same suite We chose to combine them and some of the others simply because they have the same suites Formulas in the BNF have three binary operators involving formulas Since these can be handled by the same suite, we have chosen to parse them using a single function and a BNF with alternatives

def p_formula_binary(p): """FORMULA : FORMULA IMPLIES FORMULA | FORMULA OR FORMULA | FORMULA AND FORMULA""" p[0] = [p[1], p[2], p[3]]

they are required, the programmer must code them explicitly by hand More details about reduction in OpenMP are given in the OpenMP specification [OMP]

The result, that is, the FORMULA stored in p[0], is simply a list containing the left operand, the operator, and the right operand This code says nothing about precedence and associativity and yet we know that IMPLIES is right-associative and that the other two are left-associative, and that IMPLIES has lower precedence than the others We will see how to handle these aspects once we have nished reviewing the parser s functions

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def p_formula_not(p): "FORMULA : NOT FORMULA" p[0] = [p[1], p[2]] def p_formula_boolean(p): """FORMULA : FALSE | TRUE""" p[0] = p[1] def p_formula_group(p): "FORMULA : LPAREN FORMULA RPAREN" p[0] = p[2] def p_formula_symbol(p): "FORMULA : SYMBOL" p[0] = p[1]

reference columns from one base table For example, let s assume that we have a view that returns customer data from two tables One table stores the customer s information, and the other holds the address data for that customer The definition of the customer_address view is as follows:

As much as possible, the syntax of OpenMP is expressed through compiler directives Certain features of the language, however, can only be handled with runtime library functions Of the functions within the runtime library, the most commonly used functions are the following

All these FORMULA alternatives are unary, but even though the suites for p_formula_boolean() and p_formula_symbol() are the same, we have given each one its own function since they are all logically different from each other One slightly surprising aspect of the p_formula_group() function is that we set its value to be p[1] rather than [p[1]] This works because we already use lists to

embody all the operators, so while it would be harmless to use a list here and might be essential for other parsers in this example it isn t necessary

def p_formula_equals(p): "FORMULA : TERM EQUALS TERM" p[0] = [p[1], p[2], p[3]]

omp_set_num_threads () takes an integer argument and requests that the operating system provide that number of threads in subsequent parallel regions

This is the part of the BNF that relates formulas and terms The implementation is straightforward, and we could have included this with the other binary operators since the function s suite is the same We chose to handle this separately purely because it is logically different from the other binary operators

CREATE VIEW customer_address AS SELECT customerfirst_name, customerlast_name, customerphone, addressaddress_line1, addresscity, addressstate, addresszip FROM customer JOIN address ON addresscustomer_id = customercustomer_id WHERE addresstype = 'home'

def p_term(p): """TERM : SYMBOL LPAREN TERMLIST RPAREN | SYMBOL""" p[0] = p[1] if len(p) == 2 else [p[1], p[3]] def p_termlist(p): """TERMLIST : TERM COMMA TERMLIST | TERM""" p[0] = p[1] if len(p) == 2 else [p[1], p[3]]

Figure A10 C program showing use of the most common runtime library functions #include <stdioh> #include <omph> int main() { int id, numb; omp_set num_threads(3); #pragma omp parallel private (id, numb) { id = omp_get thread_num(); numb = omp_getnum_threads(); printf(" I am thread %d out of %d \n",id,numb); } }

Terms can either be a single symbol or a symbol followed by a parenthesized term list (a comma-separated list of terms), and these two functions between them handle both cases

def p_error(p): if p is None: raise ValueError("Unknown error") raise ValueError("Syntax error, line {0}: {1}"format( plineno + 1, ptype))

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