def test_runner_logger_use_elsewhere(self, args):
r = runner.Runner(args["network"],
args["AMQPURL"],
size=args["size"],
seed=args["seed"])
assert r.AMQPURL is not None
r._attach_data_collector("")
assert r.logger is not None
r.logger.debug("use elsewhere")
def mq_logger():
log_args = {
"size": 384,
"network": "intercept",
"AMQPURL":
"amqp://*****:*****@termite.rmq.cloudamqp.com/drdsfaew",
"seed": 19999,
}
r = runner.Runner(
log_args["network"],
log_args["AMQPURL"],
size=log_args["size"],
seed=log_args["seed"],
)
r._attach_data_collector("")
_mq_logger = r.logger
return _mq_logger
def setup_class(cls):
gc.enable()
importlib.reload(kernel_utils)
importlib.reload(kernel)
importlib.reload(PSKernel)
importlib.reload(pytorchKernel)
# importlib.reload(modelTester)
log_args = {
"size": 384,
"network": "intercept",
"AMQPURL":
"amqp://*****:*****@termite.rmq.cloudamqp.com/drdsfaew",
"seed": 19999,
}
r = runner.Runner(
log_args["network"],
log_args["AMQPURL"],
size=log_args["size"],
seed=log_args["seed"],
)
r._attach_data_collector("")
cls.logger = r.logger
cls.logger.debug("Good day~")
def test_runner_create(self, args):
r = runner.Runner(args["network"],
args["AMQPURL"],
size=args["size"],
seed=args["seed"])
assert r.AMQPURL is not None
from kaggle_runner.data_providers import provider
from kaggle_runner.kernels import PSKernel, kernel, pytorchKernel
from kaggle_runner.kernels.KernelRunningState import KernelRunningState
# from kernel import Kernel
from kaggle_runner.utils import kernel_utils
log_args = {
"size": 384,
"network": "intercept",
"AMQPURL":
"amqp://*****:*****@termite.rmq.cloudamqp.com/drdsfaew",
"seed": 19999,
}
r = runner.Runner(
log_args["network"],
log_args["AMQPURL"],
size=log_args["size"],
seed=log_args["seed"],
)
r._attach_data_collector("")
LOGGER = r.logger
@pytest.fixture(scope="session")
def args():
return {
"size": 384,
"network": "intercept",
"AMQPURL":
"amqp://*****:*****@termite.rmq.cloudamqp.com/drdsfaew",
"seed": 19999,
}