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program_generator.py
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program_generator.py
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import string
import io
from contextlib import redirect_stdout
from random import choice, random, randint
from data import encode_sequences, dense_to_one_hot
GO_SYMBOL = 'G'
PAD_SYMBOL = '_'
LETTERS = string.digits + string.ascii_lowercase + ' +-=():<>\n'
SYMBOLS = [GO_SYMBOL, PAD_SYMBOL] + list(LETTERS)
#SYMBOLS = [PAD_SYMBOL, GO_SYMBOL] + list(LETTERS)
SYMBOL_TO_IDX = dict((l, i) for i, l in enumerate(SYMBOLS))
INPUT_SEQ_LEN = 70
OUTPUT_SEQ_LEN = 6
MAX_NUM_LENGTH = 2
MAX_PROGRAM_LENGTH = 3
COMPARATORS = ('<', '>')
OPERATORS = ('+', '-')
VARIABLE_NAMES = list('abcdefgh')
def if_operation(variables, nesting, difficulty):
compare_variable = choice(list(variables))
comparator = choice(COMPARATORS)
compare_value = random_digit(difficulty)
code = 'if {0}{1}{2}:'.format(compare_variable,
comparator,
compare_value)
nesting += 1
return code, nesting
def assign_operation(variables, nesting, num_len):
variable = choice(VARIABLE_NAMES)
variables.add(variable)
value = random_digit(num_len)
code = '{0}={1}'.format(variable, value)
return code, nesting
def add_or_sub_operation(variables, nesting, num_len):
variable = choice(list(variables))
operator = choice(OPERATORS)
value = random_digit(num_len)
if random() < 0.5:
code = '{0}{1}={2}'.format(variable, operator, value)
else:
variable2 = choice(list(variables))
code = '{0}={1}{2}{3}'.format(variable, variable2, operator, value)
return code, nesting
def print_operation(variables, nesting, num_len):
operator = choice(OPERATORS)
code = 'print({0})'.format(operator.join(list(variables)))
return code, nesting
OPERATIONS = (add_or_sub_operation, if_operation, assign_operation)
def generate_program(num_len, length):
variables = set()
nesting = 0
lines = []
lines.append(assign_operation(variables, nesting, num_len)[0])
if length > 0:
num_lines = randint(1, length)
for i in range(num_lines):
if num_lines <= 1:
operation = add_or_sub_operation
elif nesting == 0:
operation = choice(OPERATIONS)
else:
operation = choice((add_or_sub_operation, if_operation))
code, new_nesting = operation(variables, nesting, num_len)
lines.append(''.join([' '] * nesting) + code)
if nesting == new_nesting and random() < 0.5:
nesting -= 1
nesting = new_nesting
if nesting > 0:
code, new_nesting = add_or_sub_operation(variables, nesting, num_len)
lines.append(''.join([' '] * nesting) + code)
lines.append(print_operation(variables, nesting, num_len)[0])
return '\n'.join(lines)
def random_digit(difficulty):
size = 10 ** randint(1, difficulty)
if difficulty > 1:
return randint(-size, size)
else:
return randint(0, size)
class ProgramGenerator():
def __init__(self, batch_size, program_length=1, num_len=1):
self.program_length = program_length
self.num_len = num_len
self.num_len_was_last_inc = False
self.batch_size = batch_size
def generate_program(self, hash_mod=None):
if hash_mod is None:
program = generate_program(num_len=self.num_len,
length=self.program_length)
else:
program_hash = None
while program_hash != hash_mod:
program = generate_program(num_len=self.num_len,
length=self.program_length)
program_hash = hash(program) % 2
return program
def increase_difficulty(self):
if self.has_max_difficulty():
return
# Alternate between increasing program length and number length
if self.num_len_was_last_inc:
if self.num_len < MAX_PROGRAM_LENGTH:
self.program_length += 1
self.num_len_was_last_inc = False
else:
if self.num_len < MAX_NUM_LENGTH:
self.num_len += 1
self.num_len_was_last_inc = True
print("Difficulty:", self.num_len, self.program_length)
def has_max_difficulty(self):
return self.num_len >= MAX_NUM_LENGTH and \
self.program_length >= MAX_PROGRAM_LENGTH
def difficulty(self):
return (self.num_len, self.program_length)
def next_batch(self, validation=False):
programs = [self.generate_program(hash_mod=0 if validation else 1)
for _ in range(self.batch_size)]
# Execute the programs to get the targets
results = []
for program in programs:
with io.StringIO() as buf, redirect_stdout(buf):
exec(program)
results.append(buf.getvalue()[:-1])
input_sequences = encode_sequences(programs,
symbol_to_idx=SYMBOL_TO_IDX,
sequence_len=INPUT_SEQ_LEN,
#go_symbol=GO_SYMBOL,
pad_symbol=PAD_SYMBOL,
pad_beginning=True,
reverse=True)
input_sequences = dense_to_one_hot(input_sequences,
num_classes=len(SYMBOL_TO_IDX))
target_sequences = encode_sequences(results,
symbol_to_idx=SYMBOL_TO_IDX,
sequence_len=OUTPUT_SEQ_LEN,
go_symbol=None,
pad_beginning=False,
pad_symbol=PAD_SYMBOL)
target_sequences = dense_to_one_hot(target_sequences,
num_classes=len(SYMBOL_TO_IDX))
return input_sequences, target_sequences