def __init__(self,
dimension,
population,
passes_filename,
goals,
compiler,
benchmarks_directory,
working_set,
times,
tool,
verify_output):
"""Initialize the arguments.
Arguments
----------
dimension : int
The length of a sequence.
population : int
passes_filename : str
The file that describes the passes to use.
goals : dict
compiler : str
benchmarks_directory : str
working_set : int
The dataset to execute the benchmark.
times: int
Execution times
tool: str
Execution tool
verify_output: bool
The goal is valid only if the execution status is OK.
"""
first_key, last_key, passes_dict = IO.load_passes(passes_filename)
# When the goal is obtained during compile time
# and the dataset is not defined during compilation,
# we do not need the dataset.
self.__flags = self.PygmoFlags(first_key,
last_key,
passes_dict,
dimension,
population,
goals,
compiler,
benchmarks_directory,
working_set,
times,
tool,
verify_output)
def create_random_sequences(nof_sequences, minimum, maximum, factor, ssa,
shuffle, update_, repetition, original,
passes_filename):
"""Create N random sequences.
Arguments
----------
nof_sequences : int
The number of sequences.
minimum : int
The minimum and maximum length of the sequence.
maximum : int
The maximum length of the sequence.
factor : int
The times to appy to nof_sequences. (nof_sequences *= factor)
ssa : bool
Enable ssa?
shuffle : bool
Enable shuffle?
update : bool
Enable update?
repetition : bool
Enable repetition?
original : bool
Insert the orginal?
passes_filename : str
The yaml filename which describes the available passes.
Return
------
sequences : dict
A dictionary which contains N random sequences.
"""
if (not repetition) and (maximum > (maximum * 0.7)):
lg.error('adjust MAXIMUM lenght. MAXIMUM \
should be less than 70% of |PASSES|')
sys.exit(1)
if not (original or update_ or shuffle):
lg.error('Error: it is necessary to use at \
least one argument (-original, -update, -shuffle)')
sys.exit(1)
# Load the passes
first_key, last_key, passes = IO.load_passes(passes_filename)
counter = 0
sequences = {}
nof_sequences *= factor
while True:
# generate a sequence
seq = Sequence.create_random_sequence(first_key, last_key, passes,
minimum, maximum, repetition)
seq = Sequence.sanitize(seq)
if ssa:
seq = Sequence.mem2reg_first(seq)
if original:
if not Sequence.exist(seq, sequences):
sequences[counter] = {'seq': seq}
counter += 1
if counter >= nof_sequences:
break
if shuffle:
sseq = seq[:]
rn.shuffle(sseq)
sseq = Sequence.sanitize(sseq)
if not Sequence.exist(sseq, sequences):
sequences[counter] = {'seq': sseq}
counter += 1
if counter >= nof_sequences:
break
if update_:
seq = Sequence.update(seq)
seq = Sequence.sanitize(seq)
if not Sequence.exist(seq, sequences):
sequences[counter] = {'seq': seq}
counter += 1
if counter >= nof_sequences:
break
if shuffle:
seq = Sequence.update(seq)
seq = Sequence.sanitize(seq)
if not Sequence.exist(seq, sequences):
sequences[counter] = {'seq': seq}
counter += 1
if counter >= nof_sequences:
break
return sequences
