def test_summarylogger_can_write_to_stdout(self, capsys, simple_chromosomes, simple_evaluation_function):
logger = SummaryLogger(target=None, stdout=True)
pop = Population(chromosomes=range(10),
eval_function=lambda x: x)
pop.evaluate()
logger.log(pop)
logger.log(pop)
read_stdout = [line for line in capsys.readouterr().out.split('\n') if line != '']
assert len(read_stdout) == 2
def test_two_populations_can_use_same_logger(self, tmpdir, capsys):
log_file = tmpdir.join('log.txt')
logger = SummaryLogger(target=log_file, stdout=True)
pop1 = Population(chromosomes=list(range(10)),
eval_function=lambda x: x,
logger=logger)
pop2 = Population(chromosomes=list(range(10)),
eval_function=lambda x: x,
logger=logger)
evo = (Evolution().survive(fraction=0.5).breed(
parent_picker=pick_random,
combiner=lambda mom, dad: (mom + dad) + 1,
n_parents=2).log(foo="dino"))
_ = pop1.evolve(evolution=evo, n=5)
_ = pop2.evolve(evolution=evo, n=5)
# two evolutions have now been applied, lets check the output!
with open(log_file, "r") as f:
read_file = [item.replace("\n", "") for item in f.readlines()]
# print(read_file)
# size of the log should be appropriate
assert len(read_file) == 10
# dino needs to be in every single line
assert all(['dino' in row for row in read_file])
# check characteristics of stoud
read_stdout = [
line for line in capsys.readouterr().out.split('\n') if line != ''
]
assert len(read_stdout) == 10
assert all(['dino' in row for row in read_stdout])
def test_summarylogger_works_via_evolution(self, tmpdir, capsys):
log_file = tmpdir.join('log.txt')
logger = SummaryLogger(target=log_file, stdout=True)
pop = Population(chromosomes=list(range(10)),
eval_function=lambda x: x,
logger=logger)
evo = (Evolution().survive(fraction=0.5).breed(
parent_picker=pick_random,
combiner=lambda mom, dad: (mom + dad) / 2 +
(random.random() - 0.5),
n_parents=2).log(foo='bar'))
_ = pop.evolve(evolution=evo, n=5)
# check characteristics of the file
with open(log_file, "r") as f:
read_file = [item.replace("\n", "") for item in f.readlines()]
# size of the log should be appropriate
assert len(read_file) == 5
# bar needs to be in every single line
assert all(['bar' in row for row in read_file])
# check characteristics of stoud
read_stdout = [
line for line in capsys.readouterr().out.split('\n') if line != ''
]
assert len(read_stdout) == 5
assert all(['bar' in row for row in read_stdout])
def test_summarylogger_can_accept_kwargs(self, tmpdir, simple_chromosomes,
simple_evaluation_function):
log_file = tmpdir.join('log.txt')
logger = SummaryLogger(target=log_file, stdout=False)
pop = Population(chromosomes=simple_chromosomes,
eval_function=simple_evaluation_function,
logger=logger)
# lets make a first simple log
pop.log(foo="bar", buzz="meh")
with open(log_file, "r") as f:
read_lines = f.readlines()
assert len(read_lines) == 1
first_line = read_lines[0]
assert "bar" in first_line
assert "meh" in first_line
last_entry = first_line.split(",")
assert len(last_entry) == 6
# lets log another one
pop.log(buzz="moh")
with open(log_file, "r") as f:
read_lines = f.readlines()
assert len(read_lines) == 2
first_line = read_lines[-1]
assert "moh" in first_line
last_entry = first_line.split(",")
assert len(last_entry) == 5
def test_every_mechanic_in_evolution_log(self, tmpdir, capsys):
log_file = tmpdir.join('log.txt')
logger = SummaryLogger(target=log_file, stdout=True)
pop = Population(chromosomes=list(range(10)), eval_function=lambda x: x)
evo = (Evolution()
.survive(fraction=0.5)
.breed(parent_picker=pick_random,
combiner=lambda mom, dad: (mom + dad) + 1,
n_parents=2)
.evaluate()
.callback(logger.log, every=2))
pop.evolve(evolution=evo, n=100)
with open(log_file, "r") as f:
read_file = [item.replace("\n", "") for item in f.readlines()]
assert len(read_file) == 50
# check characteristics of stoud
read_stdout = [line for line in capsys.readouterr().out.split('\n') if line != '']
assert len(read_stdout) == 50
def test_summarylogger_can_write_file_without_stdout(
self, tmpdir, capsys, simple_chromosomes,
simple_evaluation_function):
log_file = tmpdir.join('log.txt')
logger = SummaryLogger(target=log_file, stdout=False)
pop = Population(chromosomes=range(10),
eval_function=lambda x: x,
logger=logger)
# we should see that a file was created with an appropriate number of rows
pop.log()
with open(log_file, "r") as f:
assert len(f.readlines()) == 1
# we should see that a file was created with an appropriate number of rows
pop.log()
with open(log_file, "r") as f:
assert len(f.readlines()) == 2
read_stdout = [
line for line in capsys.readouterr().out.split('\n') if line != ''
]
# there should be nothing printed
assert len(read_stdout) == 0