def main():
# Holds all the config values
container = Container()
#obtain configs in a list format
config = open(sys.argv[1]).read().splitlines()
parser.setup(container, config)
random.seed(container.seed)
# opening the log file
result_log = open(container.prob_log_file, 'w')
# initial formatting of the result log with Result Log at the top and the parameters underneath that
result_log.write("Result Log \n")
result_log.write("Random Seed = %s \n" % container.seed)
result_log.write(
"Parameters used = {'k': %s, 'd': %s, 'l': %s, 'n': %s, 'mu': %s, 'lambda': %s, 'p': %s, 'fitness evaluations': %s, 'number of runs': %s, 'problem solution location': '%s'}\n\n"
% (container.k, container.d, container.l, container.n, container.mu,
container.generations, container.p, container.fitness,
container.runs, container.prob_solution_file))
result_log.write(str(container.mu) + "\n")
threads = []
for run in range(1, container.runs + 1):
# Used in the result log
thread_name = run
# Spins up the number of runs wanted to be executed for the program
t = threading.Thread(name=thread_name,
target=evaluations,
args=(thread_name, container))
threads.append(t)
# Start all threads
for x in threads:
x.start()
# Wait for all of them to finish
for x in threads:
threads.remove(x)
x.join()
container.results.sort(key=itemgetter(0))
# Inputting the results into the result log
for res in container.results:
for i in range(len(res)):
if i == 0:
result_log.write("Run " + str(res[i]) + "\n")
else:
evalValue, averageValue, bestValue = res[i]
result_log.write(
str(evalValue) + " " + str("%.2f" % averageValue) + " " +
str(bestValue) + "\n")
result_log.write("\n")
result_log.close()
def __init__(self, debug=0, outputdir='.', printToStderr=True):
import parser as matrixparser
self.parser = matrixparser.setup(debug=debug, outputdir=outputdir)
self.lex = MatrixLexer()
self.lex.build(printToStderr=printToStderr, optimize=1,
lextab=os.path.join("MatrixParser.lextab"))
self.errorlog = []
self.debug = debug
self.lex.errors = matrixparser.errors
def __init__(self, debug=0, outputdir='.', printToStderr=True):
import parser as matrixparser
self.parser = matrixparser.setup(debug=debug, outputdir=outputdir)
self.lex = MatrixLexer()
self.lex.build(printToStderr=printToStderr,
optimize=1,
lextab=os.path.join("MatrixParser.lextab"))
self.errorlog = []
self.debug = debug
self.lex.errors = matrixparser.errors
lines = open('reservedWords.rwf', 'r').readlines()
rwTable = symbolTable()
for l in lines:
words = l.split()
lexeme = words[0].translate(None, '\"')
tokenType = words[1]
attribute = words[2]
token = {'lexeme': lexeme, 'tokenType': tokenType, 'attribute': attribute}
rwTable.insert(token)
#get an array of lines
if not os.path.isfile(sys.argv[1]):
print 'The file you tried to compile does not exist'
sys.exit()
lines = open(sys.argv[1], "r").readlines()
lines[-1] += '\x03'
listingFile = open('lineListing.txt', 'w')
tokenFile = open('tokenFile.txt', 'w')
tokenFile.write("line No.".center(10) + "Lexeme".ljust(17) \
+ "Token Type".ljust(15) + "attribute".ljust(40) + '\n')
lexer.setup(listingFile, tokenFile, lines, rwTable)
for l in lines:
lexer.feedLexer(l)
print "lexical analysis is complete"
parser.setup(lexer, rwTable, listingFile)
parser.parse()
