def main():
logger.info('Parsing Spec...')
spec = S.parse_file('example/simplestring.tyrell')
logger.info('Parsing succeeded')
logger.info('Building synthesizer...')
synthesizer = Synthesizer(
# enumerator=SmtEnumerator(spec, depth=3, loc=1), # plus(@param1, @param0) / plus(@param0, @param1)
enumerator=SmtEnumerator(
spec, depth=4,
loc=3), # plus(plus(@param0, const(_apple_)), @param1)
decider=ExampleConstraintDecider(
spec=spec,
interpreter=ToyInterpreter(),
examples=[
# Example(input=["a", "b"], output="ab"), # plus(@param0, @param1)
# Example(input=["b", "a"], output="ab"), # plus(@param1, @param0)
Example(input=["a", "b"], output="a_apple_b"),
],
))
logger.info('Synthesizing programs...')
prog = synthesizer.synthesize()
if prog is not None:
logger.info('Solution found: {}'.format(prog))
else:
logger.info('Solution not found!')
def main():
logger.info('Parsing Spec...')
spec = S.parse_file('example/toy.tyrell')
logger.info('Parsing succeeded')
logger.info('Building synthesizer...')
synthesizer = Synthesizer(
enumerator=SmtEnumerator(spec, depth=3, loc=2),
decider=ExampleConstraintDecider(
spec=spec,
interpreter=ToyInterpreter(),
examples=[
# we want to synthesize the program (x-y)*y (depth=3, loc=2)
# which is also equivalent to x*y-y*y (depth=3, loc=3)
Example(input=[4, 3], output=3),
Example(input=[6, 3], output=9),
Example(input=[1, 2], output=-2),
Example(input=[1, 1], output=0),
]))
logger.info('Synthesizing programs...')
prog = synthesizer.synthesize()
if prog is not None:
logger.info('Solution found: {}'.format(prog))
else:
logger.info('Solution not found!')
def cli(spec_file, verbosity):
'''
Parse the given Tyrell DSL spec file
'''
logger.setLevel(verbosity)
try:
tyrell_spec = S.parse_file(spec_file)
print_spec(tyrell_spec)
except (S.ParseError, S.ParseTreeProcessingError) as e:
logger.error('Spec parsing error: {}'.format(e))
def main():
global number
parser = argparse.ArgumentParser()
parser.add_argument('-i0', '--input0', type=str)
parser.add_argument('-o', '--output', type=str)
parser.add_argument('-l', '--length', type=int)
parser.add_argument('-d', '--depth', type=int)
parser.add_argument('-t', '--tyrellpath', type=str)
parser.add_argument('-m', '--plotmax', type=float)
args = parser.parse_args()
loc_val = args.length
depth = args.depth
# Input and Output must be in CSV format.
input0 = args.input0
output = args.output
# This is required by Ruben.
init_input_tbl('input0', input0)
init_tbl('output', output)
build_tab('output').max_input = args.plotmax
logger.info('Parsing Spec...')
spec = S.parse_file(args.tyrellpath)
logger.info('Parsing succeeded')
logger.info('Building synthesizer...')
r_interpreter = RInterpreter()
synthesizer = Synthesizer(
#loc: # of function productions
# enumerator=SmtEnumerator(spec, depth=2, loc=1),
# enumerator=SmtEnumerator(spec, depth=3, loc=2),
enumerator=SmtEnumerator(spec, depth=depth, loc=loc_val, evaluator=Evaluator(r_interpreter)),
decider=SmtBasicDecider(
spec=spec,
interpreter=r_interpreter,
examples=[
# Example(input=[DataFrame2(benchmark1_input)], output=benchmark1_output),
Example(input=['input0'], output='output'),
],
equal_output=eq_r
)
)
logger.info('Synthesizing programs...')
synthesizer.set_table(Table)
prog = synthesizer.synthesize()
logger.info('Number of candidates: {}'.format(number))
if prog is not None:
logger.info('Selected solution: {}'.format(prog))
else:
logger.info('Solution not found!')
sys.stderr.flush()
def main():
##### Input-output constraint
benchmark1_input = robjects.r('''
dat <- read.table(text="
round var1 var2 nam val
round1 22 33 foo 0.16912201
round2 11 44 foo 0.18570826
round1 22 33 bar 0.12410581
round2 11 44 bar 0.03258235
", header=T)
dat
''')
benchmark1_output = robjects.r('''
dat2 <- read.table(text="
nam val_round1 val_round2 var1_round1 var1_round2 var2_round1 var2_round2
bar 0.1241058 0.03258235 22 11 33 44
foo 0.1691220 0.18570826 22 11 33 44
", header=T)
dat2
''')
logger.info('Parsing Spec...')
spec = S.parse_file('example/morpheus.tyrell')
logger.info('Parsing succeeded')
logger.info('Building synthesizer...')
synthesizer = Synthesizer(
#loc: # of function productions
# enumerator=SmtEnumerator(spec, depth=2, loc=1),
# enumerator=SmtEnumerator(spec, depth=3, loc=2),
enumerator=SmtEnumerator(spec, depth=4, loc=3),
decider=ExampleConstraintDecider(
spec=spec,
interpreter=MorpheusInterpreter(),
examples=[
# Example(input=[DataFrame2(benchmark1_input)], output=benchmark1_output),
Example(input=['dat'], output='dat2'),
],
equal_output=eq_r
)
)
logger.info('Synthesizing programs...')
prog = synthesizer.synthesize()
if prog is not None:
logger.info('Solution found: {}'.format(prog))
else:
logger.info('Solution not found!')
def main(seed):
global conn
conn = create_connection("squares.db")
# c = conn.cursor()
# benchmark1_input = ""
# c.execute("select * from faculty;")
# rows = c.fetchall()
# for r in rows:
# # print(str(r))
# benchmark1_input += str(r)
# print(benchmark1_input)
benchmark1_output = ""
c = conn.cursor()
c.execute("SELECT fid, fname FROM faculty natural join class;")
rows = c.fetchall()
for r in rows:
benchmark1_output += str(r)
# print(r)
# print(benchmark1_output)
logger.info('Parsing Spec...')
spec = S.parse_file('example/squares.tyrell')
logger.info('Parsing succeeded')
logger.info('Building synthesizer...')
synthesizer = Synthesizer(
#loc: # of function productions
# enumerator=SmtEnumerator(spec, depth=2, loc=1),
# enumerator=SmtEnumerator(spec, depth=3, loc=2),
enumerator=SmtEnumerator(spec, depth=4, loc=3),
# enumerator=RandomEnumerator(
# spec, max_depth=4, seed=seed),
decider=ExampleConstraintDecider(
spec=spec,
interpreter=SquaresInterpreter(),
examples=[
Example(input=None, output=benchmark1_output),
],
equal_output=eq_r
)
)
logger.info('Synthesizing programs...')
prog = synthesizer.synthesize()
if prog is not None:
logger.info('Solution found: {}'.format(prog))
else:
logger.info('Solution not found!')
conn.close()
def main():
parser = argparse.ArgumentParser()
parser.add_argument('-i0', '--input0', type=str)
parser.add_argument('-i1', '--input1', type=str)
parser.add_argument('-o', '--output', type=str)
parser.add_argument('-l', '--length', type=int)
args = parser.parse_args()
loc_val = args.length
# Input and Output must be in CSV format.
input0 = args.input0
input1 = args.input1
output = args.output
# This is required by Ruben.
depth_val = loc_val + 1
print(input0, input1, output, loc_val)
init_tbl('input0', input0)
#FIXME: ignore the second input table for now.
init_tbl('output', output)
logger.info('Parsing Spec...')
spec = S.parse_file('example/morpheus.tyrell')
logger.info('Parsing succeeded')
# Reading the n-gram model.
sketches = [line.strip() for line in open("./ngram.txt", 'r')]
logger.info('Building synthesizer...')
synthesizer = Synthesizer(
#loc: # of function productions
enumerator=BidirectEnumerator(spec,
depth=depth_val,
loc=loc_val,
sk_queue=sketches),
decider=ExampleConstraintPruningDecider(
spec=spec,
interpreter=MorpheusInterpreter(),
examples=[
# Example(input=[DataFrame2(benchmark1_input)], output=benchmark1_output),
Example(input=['input0'], output='output'),
],
equal_output=eq_r))
logger.info('Synthesizing programs...')
prog = synthesizer.synthesize()
if prog is not None:
logger.info('Solution found: {}'.format(prog))
else:
logger.info('Solution not found!')
def main():
logger.info('Parsing Spec...')
spec = S.parse_file('example/deepcoder.tyrell')
logger.info('Parsing succeeded')
logger.info('Building synthesizer...')
synthesizer = Synthesizer(
enumerator=SmtEnumerator(spec, depth=5, loc=5),
decider=ExampleConstraintDecider(
spec=spec,
interpreter=DeepCoderInterpreter(),
examples=[
Example(input=[[6, 2, 4, 7, 9], [5, 3, 6, 1, 0]], output=27),
],
# equal_output=eq_deepcoder
))
logger.info('Synthesizing programs...')
prog = synthesizer.synthesize()
if prog is not None:
logger.info('Solution found: {}'.format(prog))
else:
logger.info('Solution not found!')
enumerator = SmtEnumerator(spec, depth=depth, loc=loc)
decider = ExampleConstraintDecider(spec=spec,
interpreter=Interpreter(),
examples=make_examples(examples))
return enumerator, decider
def exhaustive(spec, max_depth, examples):
enumerator = ExhaustiveEnumerator(spec, max_depth)
decider = ExampleDecider(Interpreter(), make_examples(examples))
return enumerator, decider
spec = parse_file('example/outsystems.tyrell')
examples = [
(["John", "Doe"], 'doejohn'),
# (["John ", " Doe"], 'doejohn'),
# ([" John ", " Doe "], 'doejohn'),
# (["Jane", "Smith"], 'smithjane'),
# (["Jane ", " Smith"], 'smithjane'),
# ([" Jane ", " Smith "], 'smithjane'),
]
def smt_main(spec):
# for loc in range(1, 6): # bug
synthesize(*smt(spec, depth=6, loc=4, examples=examples))
def synthesize(inputs, output, oracle_output, prune, extra_consts):
global full_table
full_table = oracle_output
logger.setLevel('INFO')
""" synthesizer table transformation programs from input-output examples
Args:
inputs: a list of input tables (represented as a list of named tuples)
output: a symbolic table (of class symbolic.SymTable)
full_output: the oracle output table, the task would need to generalize to it
extra_consts: extra constants provided to the solver
Returns:
a list of transformation programs s.t. p(inputs) = output
"""
#print("output table:\n", output)
#print("input table:\n", inputs[0])
loc_val = 2
output_data = json.dumps(output.instantiate())
full_data = json.dumps(oracle_output.instantiate())
input_data = json.dumps(inputs[0], default=default)
init_tbl_json_str('input0', input_data)
init_tbl_json_str('output', output_data)
# if prune == 'morpheus':
# init_tbl_json_str('output', full_data)
# else:
# init_tbl_json_str('output', output_data)
print(robjects.r('input0'))
print(robjects.r('output'))
depth_val = loc_val + 1
logger.info('Parsing spec ...')
# provide additional string constants to the solver
grammar_base = "dsl/tidyverse.tyrell.base"
grammar_file = "dsl/__tidyverse__.tyrell"
synth_utils.update_search_grammar(extra_consts, grammar_base, grammar_file)
spec = S.parse_file(grammar_file)
logger.info('Parsing succeeded')
logger.info('Building synthesizer ...')
global iter_num
iter_num = 0
for loc in range(1, loc_val + 1):
eq_fun = subset_eq
if prune == 'none':
eq_fun = proj_eq
enumerator = BidirectEnumerator(spec, depth=loc + 1, loc=loc)
decider = BidirectionalDecider(spec=spec,
interpreter=MorpheusInterpreter(),
examples=[
Example(input=['input0'],
output='output'),
],
prune=prune,
equal_output=eq_fun)
if prune == 'morpheus':
enumerator = SmtEnumerator(spec, depth=loc + 1, loc=loc)
decider = ExampleConstraintPruningDecider(
spec=spec,
interpreter=MorpheusInterpreter(),
examples=[
# Example(input=[DataFrame2(benchmark1_input)], output=benchmark1_output),
Example(input=['input0'], output='output'),
],
equal_output=eq_fun)
synthesizer = Synthesizer(enumerator=enumerator, decider=decider)
logger.info('Synthesizing programs ...')
prog = synthesizer.synthesize()
if prog is not None:
logger.info('Solution found: {}'.format(prog))
return [prog]
else:
logger.info('Solution not found!')
return []