def testProgressStr(self):
trials = []
for i in range(5):
t = Mock()
if i == 0:
t.status = "TERMINATED"
elif i == 1:
t.status = "PENDING"
else:
t.status = "RUNNING"
t.trial_id = "%05d" % i
t.local_dir = "/foo"
t.location = "here"
t.config = {"a": i, "b": i * 2}
t.evaluated_params = t.config
t.last_result = {"config": {"a": i, "b": i * 2}}
t.__str__ = lambda self: self.trial_id
trials.append(t)
prog1 = trial_progress_str(trials, ["a", "b"], fmt="psql", max_rows=3)
print(prog1)
assert prog1 == EXPECTED_RESULT_1
prog2 = trial_progress_str(trials, ["a", "b"],
fmt="psql",
max_rows=None)
print(prog2)
assert prog2 == EXPECTED_RESULT_2
def testProgressStr(self):
trials = []
for i in range(5):
t = Mock()
if i == 0:
t.status = "TERMINATED"
elif i == 1:
t.status = "PENDING"
else:
t.status = "RUNNING"
t.trial_id = "%05d" % i
t.local_dir = "/foo"
t.location = "here"
t.config = {"a": i, "b": i * 2, "n": {"k": [i, 2 * i]}}
t.evaluated_params = {
"a": i,
"b": i * 2,
"n/k/0": i,
"n/k/1": 2 * i
}
t.last_result = {
"config": {
"a": i,
"b": i * 2,
"n": {
"k": [i, 2 * i]
}
},
"metric_1": i / 2,
"metric_2": i / 4
}
t.__str__ = lambda self: self.trial_id
trials.append(t)
# One metric, two parameters
prog1 = trial_progress_str(trials, ["metric_1"], ["a", "b"],
fmt="psql",
max_rows=3)
print(prog1)
assert prog1 == EXPECTED_RESULT_1
# No metric, all parameters
prog2 = trial_progress_str(trials, [], None, fmt="psql", max_rows=None)
print(prog2)
assert prog2 == EXPECTED_RESULT_2
# Both metrics, one parameter, all with custom representation
prog3 = trial_progress_str(trials, {
"metric_1": "Metric 1",
"metric_2": "Metric 2"
}, {"a": "A"},
fmt="psql",
max_rows=3)
print(prog3)
assert prog3 == EXPECTED_RESULT_3
# Current best trial
best1 = best_trial_str(trials[1], "metric_1")
assert best1 == EXPECTED_BEST_1
def debug_string(self, delim="\n"):
messages = [
self._scheduler_alg.debug_string(),
self.trial_executor.debug_string(),
trial_progress_str(self.get_trials()),
]
return delim.join(messages)
def debug_string(self, delim="\n"):
result_keys = [
list(t.last_result) for t in self.get_trials() if t.last_result
]
metrics = set().union(*result_keys)
messages = [
self._scheduler_alg.debug_string(),
self.trial_executor.debug_string(),
trial_progress_str(self.get_trials(), metrics),
]
return delim.join(messages)
def debug_string(self, delim="\n"):
from ray.tune.progress_reporter import trial_progress_str
result_keys = [
list(t.last_result) for t in self.get_trials() if t.last_result
]
metrics = set().union(*result_keys)
messages = [
self._scheduler_alg.debug_string(),
self.trial_executor.debug_string(),
trial_progress_str(self.get_trials(), metrics, force_table=True),
]
return delim.join(messages)
def testMaxLen(self):
trials = []
for i in range(5):
t = Mock()
t.status = "TERMINATED"
t.trial_id = "%05d" % i
t.local_dir = "/foo"
t.location = "here"
t.config = {"verylong" * 20: i}
t.evaluated_params = {"verylong" * 20: i}
t.last_result = {"some_metric": "evenlonger" * 100}
t.__str__ = lambda self: self.trial_id
trials.append(t)
progress_str = trial_progress_str(trials,
metric_columns=["some_metric"],
force_table=True)
assert any(len(row) <= 90 for row in progress_str.split("\n"))