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polyaxon/polyaxon | polyaxon/streams/consumers/consumers.py | Consumer.setup_exchange | def setup_exchange(self, exchange_name):
"""Setup the exchange on RabbitMQ by invoking the Exchange.Declare RPC
command. When it is complete, the on_exchange_declareok method will
be invoked by pika.
:param str|unicode exchange_name: The name of the exchange to declare
"""
... | python | def setup_exchange(self, exchange_name):
"""Setup the exchange on RabbitMQ by invoking the Exchange.Declare RPC
command. When it is complete, the on_exchange_declareok method will
be invoked by pika.
:param str|unicode exchange_name: The name of the exchange to declare
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polyaxon/polyaxon | polyaxon/streams/consumers/consumers.py | Consumer.setup_queue | def setup_queue(self, queue_name):
"""Setup the queue on RabbitMQ by invoking the Queue.Declare RPC
command. When it is complete, the on_queue_declareok method will
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:param str|unicode queue_name: The name of the queue to declare.
"""
_logger.debug('De... | python | def setup_queue(self, queue_name):
"""Setup the queue on RabbitMQ by invoking the Queue.Declare RPC
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polyaxon/polyaxon | polyaxon/streams/consumers/consumers.py | Consumer.on_queue_declareok | def on_queue_declareok(self, method_frame):
"""Method invoked by pika when the Queue.Declare RPC call made in
setup_queue has completed. In this method we will bind the queue
and exchange together with the routing key by issuing the Queue.Bind
RPC command. When this command is complete, ... | python | def on_queue_declareok(self, method_frame):
"""Method invoked by pika when the Queue.Declare RPC call made in
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polyaxon/polyaxon | polyaxon/streams/consumers/consumers.py | Consumer.on_consumer_cancelled | def on_consumer_cancelled(self, method_frame):
"""Invoked by pika when RabbitMQ sends a Basic.Cancel for a consumer
receiving messages.
:param pika.frame.Method method_frame: The Basic.Cancel frame
"""
_logger.info('Consumer was cancelled remotely, shutting down: %r', method_fra... | python | def on_consumer_cancelled(self, method_frame):
"""Invoked by pika when RabbitMQ sends a Basic.Cancel for a consumer
receiving messages.
:param pika.frame.Method method_frame: The Basic.Cancel frame
"""
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polyaxon/polyaxon | polyaxon/streams/consumers/consumers.py | Consumer.acknowledge_message | def acknowledge_message(self, delivery_tag):
"""Acknowledge the message delivery from RabbitMQ by sending a
Basic.Ack RPC method for the delivery tag.
:param int delivery_tag: The delivery tag from the Basic.Deliver frame
"""
_logger.debug('Acknowledging message %s', delivery_ta... | python | def acknowledge_message(self, delivery_tag):
"""Acknowledge the message delivery from RabbitMQ by sending a
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polyaxon/polyaxon | polyaxon/streams/consumers/consumers.py | Consumer.on_message | def on_message(self, unused_channel, basic_deliver, properties, body):
"""Invoked by pika when a message is delivered from RabbitMQ. The
channel is passed for your convenience. The basic_deliver object that
is passed in carries the exchange, routing key, delivery tag and
a redelivered fl... | python | def on_message(self, unused_channel, basic_deliver, properties, body):
"""Invoked by pika when a message is delivered from RabbitMQ. The
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polyaxon/polyaxon | polyaxon/streams/consumers/consumers.py | Consumer.stop_consuming | def stop_consuming(self):
"""Tell RabbitMQ that you would like to stop consuming by sending the
Basic.Cancel RPC command.
"""
if self._channel:
_logger.debug('Sending a Basic.Cancel RPC command to RabbitMQ')
self._channel.basic_cancel(self.on_cancelok, self._consu... | python | def stop_consuming(self):
"""Tell RabbitMQ that you would like to stop consuming by sending the
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"""
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polyaxon/polyaxon | polyaxon/streams/consumers/consumers.py | Consumer.open_channel | def open_channel(self):
"""Open a new channel with RabbitMQ by issuing the Channel.Open RPC
command. When RabbitMQ responds that the channel is open, the
on_channel_open callback will be invoked by pika.
"""
_logger.info('Creating a new channel')
self._connection.channel(... | python | def open_channel(self):
"""Open a new channel with RabbitMQ by issuing the Channel.Open RPC
command. When RabbitMQ responds that the channel is open, the
on_channel_open callback will be invoked by pika.
"""
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polyaxon/polyaxon | polyaxon/streams/consumers/consumers.py | Consumer.run | def run(self):
"""Run the example consumer by connecting to RabbitMQ and then
starting the IOLoop to block and allow the SelectConnection to operate.
"""
self._connection = self.connect()
self._connection.ioloop.start() | python | def run(self):
"""Run the example consumer by connecting to RabbitMQ and then
starting the IOLoop to block and allow the SelectConnection to operate.
"""
self._connection = self.connect()
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polyaxon/polyaxon | polyaxon/streams/consumers/consumers.py | Consumer.stop | def stop(self):
"""Cleanly shutdown the connection to RabbitMQ by stopping the consumer
with RabbitMQ. When RabbitMQ confirms the cancellation, on_cancelok
will be invoked by pika, which will then closing the channel and
connection. The IOLoop is started again because this method is invo... | python | def stop(self):
"""Cleanly shutdown the connection to RabbitMQ by stopping the consumer
with RabbitMQ. When RabbitMQ confirms the cancellation, on_cancelok
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polyaxon/polyaxon | polyaxon/action_manager/utils/email.py | render_mail_template | def render_mail_template(subject_template, body_template, context):
"""
Renders both the subject and body templates in the given context.
Returns a tuple (subject, body) of the result.
"""
try:
subject = strip_spaces(render_to_string(subject_template, context))
body = render_to_strin... | python | def render_mail_template(subject_template, body_template, context):
"""
Renders both the subject and body templates in the given context.
Returns a tuple (subject, body) of the result.
"""
try:
subject = strip_spaces(render_to_string(subject_template, context))
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polyaxon/polyaxon | polyaxon/action_manager/utils/email.py | send_mass_template_mail | def send_mass_template_mail(subject_template, body_template, recipients, context=None):
"""
Renders an email subject and body using the given templates and context,
then sends it to the given recipients list.
The emails are send one-by-one.
"""
if context:
subject, body = render_mail_te... | python | def send_mass_template_mail(subject_template, body_template, recipients, context=None):
"""
Renders an email subject and body using the given templates and context,
then sends it to the given recipients list.
The emails are send one-by-one.
"""
if context:
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polyaxon/polyaxon | polyaxon/action_manager/utils/email.py | send_mass_user_template_mail | def send_mass_user_template_mail(subject_template, body_template, users, context):
"""
Similar to `send_mass_template_mail` this function renders the given templates
into email subjects and bodies.
The emails are send one-by-one.
"""
message_tuples = []
for user in users:
context['u... | python | def send_mass_user_template_mail(subject_template, body_template, users, context):
"""
Similar to `send_mass_template_mail` this function renders the given templates
into email subjects and bodies.
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message_tuples = []
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polyaxon/polyaxon | polyaxon/libs/repos/git/__init__.py | checkout_commit | def checkout_commit(repo_path: str,
commit: Any = None) -> None: # pylint:disable=redefined-outer-name
"""Checkout to a specific commit.
If commit is None then checkout to master.
"""
commit = commit or 'master'
run_command(cmd='git checkout {}'.format(commit), data=None, locat... | python | def checkout_commit(repo_path: str,
commit: Any = None) -> None: # pylint:disable=redefined-outer-name
"""Checkout to a specific commit.
If commit is None then checkout to master.
"""
commit = commit or 'master'
run_command(cmd='git checkout {}'.format(commit), data=None, locat... | [
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polyaxon/polyaxon | polyaxon/libs/archive.py | create_tarfile | def create_tarfile(files: List[str], tar_path: str) -> None:
"""Create a tar file based on the list of files passed"""
with tarfile.open(tar_path, "w:gz") as tar:
for f in files:
tar.add(f) | python | def create_tarfile(files: List[str], tar_path: str) -> None:
"""Create a tar file based on the list of files passed"""
with tarfile.open(tar_path, "w:gz") as tar:
for f in files:
tar.add(f) | [
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polyaxon/polyaxon | polyaxon/checks/rabbitmq.py | RabbitMQCheck.check | def check() -> Result:
"""Open and close the broker channel."""
try:
# Context to release connection
with Connection(conf.get('CELERY_BROKER_URL')) as conn:
conn.connect()
except ConnectionRefusedError:
return Result(message='Service unable to ... | python | def check() -> Result:
"""Open and close the broker channel."""
try:
# Context to release connection
with Connection(conf.get('CELERY_BROKER_URL')) as conn:
conn.connect()
except ConnectionRefusedError:
return Result(message='Service unable to ... | [
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polyaxon/polyaxon | polyaxon/hpsearch/search_managers/grid.py | GridSearchManager.get_suggestions | def get_suggestions(self, iteration_config=None):
"""Return a list of suggestions based on grid search.
Params:
matrix: `dict` representing the {hyperparam: hyperparam matrix config}.
n_suggestions: number of suggestions to make.
"""
matrix = self.hptuning_config... | python | def get_suggestions(self, iteration_config=None):
"""Return a list of suggestions based on grid search.
Params:
matrix: `dict` representing the {hyperparam: hyperparam matrix config}.
n_suggestions: number of suggestions to make.
"""
matrix = self.hptuning_config... | [
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polyaxon/polyaxon | polyaxon/hpsearch/search_managers/bayesian_optimization/optimizer.py | BOOptimizer._maximize | def _maximize(self):
""" Find argmax of the acquisition function."""
if not self.space.is_observations_valid():
return None
y_max = self.space.y.max()
self.utility_function.gaussian_process.fit(self.space.x, self.space.y)
return self.utility_function.max_compute(y_max... | python | def _maximize(self):
""" Find argmax of the acquisition function."""
if not self.space.is_observations_valid():
return None
y_max = self.space.y.max()
self.utility_function.gaussian_process.fit(self.space.x, self.space.y)
return self.utility_function.max_compute(y_max... | [
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polyaxon/polyaxon | polyaxon/db/models/pipelines.py | Pipeline.dag | def dag(self) -> Tuple[Dict, Dict]:
"""Construct the DAG of this pipeline based on the its operations and their downstream."""
from pipelines import dags
operations = self.operations.all().prefetch_related('downstream_operations')
def get_downstream(op):
return op.downstrea... | python | def dag(self) -> Tuple[Dict, Dict]:
"""Construct the DAG of this pipeline based on the its operations and their downstream."""
from pipelines import dags
operations = self.operations.all().prefetch_related('downstream_operations')
def get_downstream(op):
return op.downstrea... | [
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polyaxon/polyaxon | polyaxon/db/models/pipelines.py | Operation.get_countdown | def get_countdown(self, retries) -> int:
"""Calculate the countdown for a celery task retry."""
retry_delay = self.retry_delay
if self.retry_exponential_backoff:
return min(
max(2 ** retries, retry_delay), # Exp. backoff
self.max_retry_delay # The co... | python | def get_countdown(self, retries) -> int:
"""Calculate the countdown for a celery task retry."""
retry_delay = self.retry_delay
if self.retry_exponential_backoff:
return min(
max(2 ** retries, retry_delay), # Exp. backoff
self.max_retry_delay # The co... | [
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polyaxon/polyaxon | polyaxon/db/models/pipelines.py | Operation.get_run_params | def get_run_params(self) -> Dict:
"""Return the params to run the celery task."""
params = {}
if self.celery_queue:
params['queue'] = self.celery_queue
if self.timeout:
params['soft_time_limit'] = self.timeout
# We set also a hard time limit that will... | python | def get_run_params(self) -> Dict:
"""Return the params to run the celery task."""
params = {}
if self.celery_queue:
params['queue'] = self.celery_queue
if self.timeout:
params['soft_time_limit'] = self.timeout
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polyaxon/polyaxon | polyaxon/db/models/pipelines.py | RunModel.can_transition | def can_transition(self, status_from: str, status_to: str) -> bool:
"""Update the status of the current instance.
Returns:
boolean: if the instance is updated.
"""
if not self.STATUSES.can_transition(status_from=status_from, status_to=status_to):
_logger.info(
... | python | def can_transition(self, status_from: str, status_to: str) -> bool:
"""Update the status of the current instance.
Returns:
boolean: if the instance is updated.
"""
if not self.STATUSES.can_transition(status_from=status_from, status_to=status_to):
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polyaxon/polyaxon | polyaxon/db/models/pipelines.py | PipelineRun.dag | def dag(self) -> Tuple[Dict, Dict]:
"""Construct the DAG of this pipeline run
based on the its operation runs and their downstream.
"""
from pipelines import dags
operation_runs = self.operation_runs.all().prefetch_related('downstream_runs')
def get_downstream(op_run):
... | python | def dag(self) -> Tuple[Dict, Dict]:
"""Construct the DAG of this pipeline run
based on the its operation runs and their downstream.
"""
from pipelines import dags
operation_runs = self.operation_runs.all().prefetch_related('downstream_runs')
def get_downstream(op_run):
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polyaxon/polyaxon | polyaxon/db/models/pipelines.py | OperationRun.check_concurrency | def check_concurrency(self) -> bool:
"""Checks the concurrency of the operation run.
Checks the concurrency of the operation run
to validate if we can start a new operation run.
Returns:
boolean: Whether to start a new operation run or not.
"""
if not self.o... | python | def check_concurrency(self) -> bool:
"""Checks the concurrency of the operation run.
Checks the concurrency of the operation run
to validate if we can start a new operation run.
Returns:
boolean: Whether to start a new operation run or not.
"""
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polyaxon/polyaxon | polyaxon/db/models/pipelines.py | OperationRun.check_upstream_trigger | def check_upstream_trigger(self) -> bool:
"""Checks the upstream and the trigger rule."""
if self.operation.trigger_policy == TriggerPolicy.ONE_DONE:
return self.upstream_runs.filter(
status__status__in=self.STATUSES.DONE_STATUS).exists()
if self.operation.trigger_pol... | python | def check_upstream_trigger(self) -> bool:
"""Checks the upstream and the trigger rule."""
if self.operation.trigger_policy == TriggerPolicy.ONE_DONE:
return self.upstream_runs.filter(
status__status__in=self.STATUSES.DONE_STATUS).exists()
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polyaxon/polyaxon | polyaxon/db/models/pipelines.py | OperationRun.schedule_start | def schedule_start(self) -> bool:
"""Schedule the task: check first if the task can start:
1. we check that the task is still in the CREATED state.
2. we check that the upstream dependency is met.
3. we check that pipeline can start a new task;
i.e. we check the... | python | def schedule_start(self) -> bool:
"""Schedule the task: check first if the task can start:
1. we check that the task is still in the CREATED state.
2. we check that the upstream dependency is met.
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polyaxon/polyaxon | polyaxon/db/models/pipelines.py | OperationRun.start | def start(self) -> None:
"""Start the celery task of this operation."""
kwargs = self.celery_task_context
# Update we the operation run id
kwargs['operation_run_id'] = self.id # pylint:disable=unsupported-assignment-operation
async_result = celery_app.send_task(
sel... | python | def start(self) -> None:
"""Start the celery task of this operation."""
kwargs = self.celery_task_context
# Update we the operation run id
kwargs['operation_run_id'] = self.id # pylint:disable=unsupported-assignment-operation
async_result = celery_app.send_task(
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polyaxon/polyaxon | polyaxon/docker_images/image_info.py | get_experiment_image_info | def get_experiment_image_info(experiment: 'Experiment') -> Tuple[str, str]:
"""Return the image name and image tag for an experiment"""
project_name = experiment.project.name
repo_name = project_name
image_name = '{}/{}'.format(conf.get('REGISTRY_URI'), repo_name)
image_tag = experiment.code_refere... | python | def get_experiment_image_info(experiment: 'Experiment') -> Tuple[str, str]:
"""Return the image name and image tag for an experiment"""
project_name = experiment.project.name
repo_name = project_name
image_name = '{}/{}'.format(conf.get('REGISTRY_URI'), repo_name)
image_tag = experiment.code_refere... | [
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polyaxon/polyaxon | polyaxon/docker_images/image_info.py | get_job_image_info | def get_job_image_info(project: 'Project', job: Any) -> Tuple[str, str]:
"""Return the image name and image tag for a job"""
project_name = project.name
repo_name = project_name
image_name = '{}/{}'.format(conf.get('REGISTRY_URI'), repo_name)
try:
last_commit = project.repo.last_commit
... | python | def get_job_image_info(project: 'Project', job: Any) -> Tuple[str, str]:
"""Return the image name and image tag for a job"""
project_name = project.name
repo_name = project_name
image_name = '{}/{}'.format(conf.get('REGISTRY_URI'), repo_name)
try:
last_commit = project.repo.last_commit
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polyaxon/polyaxon | polyaxon/docker_images/image_info.py | get_notebook_image_info | def get_notebook_image_info(project: 'Project', job: Any) -> Tuple[str, str]:
"""Return the image name and image tag for a job"""
image_name, _ = get_job_image_info(project, job)
return image_name, LATEST_IMAGE_TAG | python | def get_notebook_image_info(project: 'Project', job: Any) -> Tuple[str, str]:
"""Return the image name and image tag for a job"""
image_name, _ = get_job_image_info(project, job)
return image_name, LATEST_IMAGE_TAG | [
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] | e1724f0756b1a42f9e7aa08a976584a84ef7f016 | https://github.com/polyaxon/polyaxon/blob/e1724f0756b1a42f9e7aa08a976584a84ef7f016/polyaxon/docker_images/image_info.py#L35-L38 | train | Return the image name and image tag for a job | Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL... |
polyaxon/polyaxon | polyaxon/hpsearch/iteration_managers/bayesian_optimization.py | BOIterationManager.create_iteration | def create_iteration(self, num_suggestions):
"""Create an iteration for the experiment group."""
from db.models.experiment_groups import ExperimentGroupIteration
iteration_config = self.experiment_group.iteration_config
if iteration_config is None:
iteration = 0
... | python | def create_iteration(self, num_suggestions):
"""Create an iteration for the experiment group."""
from db.models.experiment_groups import ExperimentGroupIteration
iteration_config = self.experiment_group.iteration_config
if iteration_config is None:
iteration = 0
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polyaxon/polyaxon | polyaxon/hpsearch/iteration_managers/bayesian_optimization.py | BOIterationManager.update_iteration | def update_iteration(self):
"""Update the last experiment group's iteration with experiment performance."""
iteration_config = self.get_iteration_config()
if not iteration_config:
return
experiments_metrics = self.experiment_group.get_experiments_metrics(
experime... | python | def update_iteration(self):
"""Update the last experiment group's iteration with experiment performance."""
iteration_config = self.get_iteration_config()
if not iteration_config:
return
experiments_metrics = self.experiment_group.get_experiments_metrics(
experime... | [
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polyaxon/polyaxon | polyaxon/hpsearch/search_managers/hyperband.py | HyperbandSearchManager.get_n_config_to_keep | def get_n_config_to_keep(self, n_suggestions, bracket_iteration):
"""Return the number of configs to keep and resume."""
n_configs = n_suggestions * (self.eta ** -bracket_iteration)
return int(n_configs / self.eta) | python | def get_n_config_to_keep(self, n_suggestions, bracket_iteration):
"""Return the number of configs to keep and resume."""
n_configs = n_suggestions * (self.eta ** -bracket_iteration)
return int(n_configs / self.eta) | [
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polyaxon/polyaxon | polyaxon/hpsearch/search_managers/hyperband.py | HyperbandSearchManager.get_n_config_to_keep_for_iteration | def get_n_config_to_keep_for_iteration(self, iteration, bracket_iteration):
"""Return the number of configs to keep for an iteration and iteration bracket.
This is just util function around `get_n_config_to_keep`
"""
bracket = self.get_bracket(iteration=iteration)
if bracket_ite... | python | def get_n_config_to_keep_for_iteration(self, iteration, bracket_iteration):
"""Return the number of configs to keep for an iteration and iteration bracket.
This is just util function around `get_n_config_to_keep`
"""
bracket = self.get_bracket(iteration=iteration)
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polyaxon/polyaxon | polyaxon/hpsearch/search_managers/hyperband.py | HyperbandSearchManager.get_n_resources_for_iteration | def get_n_resources_for_iteration(self, iteration, bracket_iteration):
"""Return the number of iterations to run for this barcket_i
This is just util function around `get_n_resources`
"""
bracket = self.get_bracket(iteration=iteration)
n_resources = self.get_resources(bracket=br... | python | def get_n_resources_for_iteration(self, iteration, bracket_iteration):
"""Return the number of iterations to run for this barcket_i
This is just util function around `get_n_resources`
"""
bracket = self.get_bracket(iteration=iteration)
n_resources = self.get_resources(bracket=br... | [
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polyaxon/polyaxon | polyaxon/hpsearch/search_managers/hyperband.py | HyperbandSearchManager.get_suggestions | def get_suggestions(self, iteration_config=None):
"""Return a list of suggestions/arms based on hyperband."""
if not iteration_config or not isinstance(iteration_config, HyperbandIterationConfig):
raise ValueError('Hyperband get suggestions requires an iteration.')
bracket = self.get... | python | def get_suggestions(self, iteration_config=None):
"""Return a list of suggestions/arms based on hyperband."""
if not iteration_config or not isinstance(iteration_config, HyperbandIterationConfig):
raise ValueError('Hyperband get suggestions requires an iteration.')
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polyaxon/polyaxon | polyaxon/hpsearch/search_managers/hyperband.py | HyperbandSearchManager.should_reschedule | def should_reschedule(self, iteration, bracket_iteration):
"""Return a boolean to indicate if we need to reschedule another iteration."""
bracket = self.get_bracket(iteration=iteration)
if bracket_iteration < bracket:
# The bracket is still processing
return False
... | python | def should_reschedule(self, iteration, bracket_iteration):
"""Return a boolean to indicate if we need to reschedule another iteration."""
bracket = self.get_bracket(iteration=iteration)
if bracket_iteration < bracket:
# The bracket is still processing
return False
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polyaxon/polyaxon | polyaxon/hpsearch/search_managers/hyperband.py | HyperbandSearchManager.should_reduce_configs | def should_reduce_configs(self, iteration, bracket_iteration):
"""Return a boolean to indicate if we need to reschedule another bracket iteration."""
n_configs_to_keep = self.get_n_config_to_keep_for_iteration(
iteration=iteration, bracket_iteration=bracket_iteration)
return n_config... | python | def should_reduce_configs(self, iteration, bracket_iteration):
"""Return a boolean to indicate if we need to reschedule another bracket iteration."""
n_configs_to_keep = self.get_n_config_to_keep_for_iteration(
iteration=iteration, bracket_iteration=bracket_iteration)
return n_config... | [
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polyaxon/polyaxon | polyaxon/libs/resource_validation.py | validate_resource | def validate_resource(resource) -> None:
"""Validates a resource"""
if resource is not None and not isinstance(resource, dict):
raise ValidationError('The resource is not valid.')
if isinstance(resource, dict) and set(resource.keys()) <= {'requests', 'limits'}:
raise ValidationError(
... | python | def validate_resource(resource) -> None:
"""Validates a resource"""
if resource is not None and not isinstance(resource, dict):
raise ValidationError('The resource is not valid.')
if isinstance(resource, dict) and set(resource.keys()) <= {'requests', 'limits'}:
raise ValidationError(
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polyaxon/polyaxon | polyaxon/scheduler/spawners/templates/experiment_jobs/manager.py | ResourceManager.get_init_container | def get_init_container(self,
init_command,
init_args,
env_vars,
context_mounts,
persistence_outputs,
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"""Pod init container for sett... | python | def get_init_container(self,
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env_vars,
context_mounts,
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persistence_data):
"""Pod init container for sett... | [
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polyaxon/polyaxon | polyaxon/db/models/repos.py | RepoMixin.path | def path(self) -> str:
"""We need to nest the git path inside the project path to make it easier
to create docker images."""
return os.path.join(self.project_path, self.project.name) | python | def path(self) -> str:
"""We need to nest the git path inside the project path to make it easier
to create docker images."""
return os.path.join(self.project_path, self.project.name) | [
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polyaxon/polyaxon | polyaxon/db/models/repos.py | RepoMixin.last_commit | def last_commit(self) -> Tuple:
"""Returns a tuple (hash, and commit object)"""
from libs.repos import git
return git.get_last_commit(repo_path=self.path) | python | def last_commit(self) -> Tuple:
"""Returns a tuple (hash, and commit object)"""
from libs.repos import git
return git.get_last_commit(repo_path=self.path) | [
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polyaxon/polyaxon | polyaxon/scheduler/spawners/tensorboard_spawner.py | TensorboardSpawner.validate_stores_secrets_keys | def validate_stores_secrets_keys(stores_secrets):
"""Validates that we can only authenticate to one S3 and one GCS."""
stores = set([])
for store_secret in stores_secrets:
if store_secret['store'] in stores:
raise TensorboardValidation('Received an invalid store confi... | python | def validate_stores_secrets_keys(stores_secrets):
"""Validates that we can only authenticate to one S3 and one GCS."""
stores = set([])
for store_secret in stores_secrets:
if store_secret['store'] in stores:
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polyaxon/polyaxon | polyaxon/scheduler/spawners/tensorboard_spawner.py | TensorboardSpawner.get_stores_secrets_volumes | def get_stores_secrets_volumes(cls, stores_secrets):
"""Handles the case of GCS and S3 and create a volume with secret file."""
volumes = []
volume_mounts = []
for store_secret in stores_secrets:
store = store_secret['store']
if store in {GCS, S3}:
... | python | def get_stores_secrets_volumes(cls, stores_secrets):
"""Handles the case of GCS and S3 and create a volume with secret file."""
volumes = []
volume_mounts = []
for store_secret in stores_secrets:
store = store_secret['store']
if store in {GCS, S3}:
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polyaxon/polyaxon | polyaxon/scheduler/spawners/tensorboard_spawner.py | TensorboardSpawner.get_stores_secrets_command_args | def get_stores_secrets_command_args(cls, stores_secrets):
"""Create an auth command for S3 and GCS."""
commands = []
for store_secret in stores_secrets:
store = store_secret['store']
if store == GCS:
commands.append('export GOOGLE_APPLICATION_CREDENTIALS={... | python | def get_stores_secrets_command_args(cls, stores_secrets):
"""Create an auth command for S3 and GCS."""
commands = []
for store_secret in stores_secrets:
store = store_secret['store']
if store == GCS:
commands.append('export GOOGLE_APPLICATION_CREDENTIALS={... | [
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polyaxon/polyaxon | polyaxon/db/redis/ephemeral_tokens.py | RedisEphemeralTokens.make_token | def make_token(cls, ephemeral_token: 'RedisEphemeralTokens') -> str:
"""
Returns a token to be used x number of times to allow a user account to access
certain resource.
"""
value = ephemeral_token.key
if ephemeral_token.scope:
value += ''.join(ephemeral_token... | python | def make_token(cls, ephemeral_token: 'RedisEphemeralTokens') -> str:
"""
Returns a token to be used x number of times to allow a user account to access
certain resource.
"""
value = ephemeral_token.key
if ephemeral_token.scope:
value += ''.join(ephemeral_token... | [
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polyaxon/polyaxon | polyaxon/db/redis/ephemeral_tokens.py | RedisEphemeralTokens.check_token | def check_token(self, token: 'RedisEphemeralTokens') -> bool:
"""
Check that a token is correct for a given scope token.
"""
if self.get_state() is None: # Token expired
return False
correct_token = self.make_token(self)
self.clear()
return constant_... | python | def check_token(self, token: 'RedisEphemeralTokens') -> bool:
"""
Check that a token is correct for a given scope token.
"""
if self.get_state() is None: # Token expired
return False
correct_token = self.make_token(self)
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polyaxon/polyaxon | polyaxon/hpsearch/search_managers/bayesian_optimization/acquisition_function.py | UtilityFunction.max_compute | def max_compute(self, y_max, bounds, n_warmup=100000, n_iter=250):
"""A function to find the maximum of the acquisition function
It uses a combination of random sampling (cheap) and the 'L-BFGS-B' optimization method.
First by sampling `n_warmup` (1e5) points at random,
and then runnin... | python | def max_compute(self, y_max, bounds, n_warmup=100000, n_iter=250):
"""A function to find the maximum of the acquisition function
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polyaxon/polyaxon | polyaxon/api/filters.py | OrderingFilter.get_ordering | def get_ordering(self, request, queryset, view):
"""
Ordering is set by a comma delimited ?ordering=... query parameter.
The `ordering` query parameter can be overridden by setting
the `ordering_param` value on the OrderingFilter or by
specifying an `ORDERING_PARAM` value in the... | python | def get_ordering(self, request, queryset, view):
"""
Ordering is set by a comma delimited ?ordering=... query parameter.
The `ordering` query parameter can be overridden by setting
the `ordering_param` value on the OrderingFilter or by
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polyaxon/polyaxon | polyaxon/scheduler/spawners/templates/notebooks/manager.py | ResourceManager.get_init_container | def get_init_container(self,
init_command,
init_args,
env_vars,
context_mounts,
persistence_outputs,
persistence_data):
"""Pod init container for sett... | python | def get_init_container(self,
init_command,
init_args,
env_vars,
context_mounts,
persistence_outputs,
persistence_data):
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polyaxon/polyaxon | polyaxon/api/users/views.py | RegistrationView.get_activation_key | def get_activation_key(self, user):
"""
Generate the activation key which will be emailed to the user.
"""
return signing.dumps(
obj=getattr(user, user.USERNAME_FIELD),
salt=self.key_salt
) | python | def get_activation_key(self, user):
"""
Generate the activation key which will be emailed to the user.
"""
return signing.dumps(
obj=getattr(user, user.USERNAME_FIELD),
salt=self.key_salt
) | [
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polyaxon/polyaxon | polyaxon/api/users/views.py | RegistrationView.send_activation_email | def send_activation_email(self, user):
"""
Send the activation email. The activation key is the username,
signed using TimestampSigner.
"""
activation_key = self.get_activation_key(user)
context = self.get_email_context(activation_key)
context.update({
... | python | def send_activation_email(self, user):
"""
Send the activation email. The activation key is the username,
signed using TimestampSigner.
"""
activation_key = self.get_activation_key(user)
context = self.get_email_context(activation_key)
context.update({
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polyaxon/polyaxon | polyaxon/api/users/views.py | SimpleRegistrationView.create_inactive_user | def create_inactive_user(self, form):
"""Create the inactive user account and wait for validation from superuser"""
new_user = form.save(commit=False)
new_user.is_active = False
new_user.save()
return new_user | python | def create_inactive_user(self, form):
"""Create the inactive user account and wait for validation from superuser"""
new_user = form.save(commit=False)
new_user.is_active = False
new_user.save()
return new_user | [
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polyaxon/polyaxon | polyaxon/api/users/views.py | ActivationView.validate_key | def validate_key(self, activation_key):
"""
Verify that the activation key is valid and within the
permitted activation time window, returning the username if
valid or ``None`` if not.
"""
try:
username = signing.loads(
activation_key,
... | python | def validate_key(self, activation_key):
"""
Verify that the activation key is valid and within the
permitted activation time window, returning the username if
valid or ``None`` if not.
"""
try:
username = signing.loads(
activation_key,
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polyaxon/polyaxon | polyaxon/api/users/views.py | ActivationView.get_user | def get_user(self, username):
"""
Given the verified username, look up and return the
corresponding user account if it exists, or ``None`` if it
doesn't.
"""
User = get_user_model() # noqa
try:
user = User.objects.get(**{
User.USERNAM... | python | def get_user(self, username):
"""
Given the verified username, look up and return the
corresponding user account if it exists, or ``None`` if it
doesn't.
"""
User = get_user_model() # noqa
try:
user = User.objects.get(**{
User.USERNAM... | [
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polyaxon/polyaxon | polyaxon/api/users/views.py | ActivationView.get | def get(self, request, *args, **kwargs):
"""The base activation logic; subclasses should leave this method
alone and implement activate(), which is called from this method.
"""
activated_user = self.activate(*args, **kwargs)
if activated_user:
users_signals.user_activ... | python | def get(self, request, *args, **kwargs):
"""The base activation logic; subclasses should leave this method
alone and implement activate(), which is called from this method.
"""
activated_user = self.activate(*args, **kwargs)
if activated_user:
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polyaxon/polyaxon | polyaxon/scheduler/spawners/templates/resource_manager.py | BaseResourceManager.get_pod_container | def get_pod_container(self,
volume_mounts,
persistence_outputs=None,
persistence_data=None,
outputs_refs_jobs=None,
outputs_refs_experiments=None,
secret_refs=None,... | python | def get_pod_container(self,
volume_mounts,
persistence_outputs=None,
persistence_data=None,
outputs_refs_jobs=None,
outputs_refs_experiments=None,
secret_refs=None,... | [
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polyaxon/polyaxon | polyaxon/scheduler/spawners/templates/resource_manager.py | BaseResourceManager.get_sidecar_container | def get_sidecar_container(self, volume_mounts):
"""Pod sidecar container for task logs."""
return get_sidecar_container(
job_container_name=self.job_container_name,
sidecar_container_name=self.sidecar_container_name,
sidecar_docker_image=self.sidecar_docker_image,
... | python | def get_sidecar_container(self, volume_mounts):
"""Pod sidecar container for task logs."""
return get_sidecar_container(
job_container_name=self.job_container_name,
sidecar_container_name=self.sidecar_container_name,
sidecar_docker_image=self.sidecar_docker_image,
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polyaxon/polyaxon | polyaxon/scheduler/spawners/templates/resource_manager.py | BaseResourceManager.get_task_pod_spec | def get_task_pod_spec(self,
volume_mounts,
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outputs_refs_jobs=None,
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persistence_data=None,
outputs_refs_jobs=None,
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polyaxon/polyaxon | polyaxon/sso/wizard.py | IdentityWizard.validate_username | def validate_username(username):
"""
This validation step is done when we are sure the user
does not exit on the systems and we need to create a new user.
"""
try:
validate_slug(username)
except ValidationError:
username = slugify(username)
... | python | def validate_username(username):
"""
This validation step is done when we are sure the user
does not exit on the systems and we need to create a new user.
"""
try:
validate_slug(username)
except ValidationError:
username = slugify(username)
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polyaxon/polyaxon | polyaxon/action_manager/action.py | Action._prepare | def _prepare(cls, context: Dict) -> Dict:
"""This is where you should alter the context to fit the action.
Default behaviour will leave the context as it is.
"""
if not context and cls.raise_empty_context:
raise PolyaxonActionException('{} received invalid payload context.'.... | python | def _prepare(cls, context: Dict) -> Dict:
"""This is where you should alter the context to fit the action.
Default behaviour will leave the context as it is.
"""
if not context and cls.raise_empty_context:
raise PolyaxonActionException('{} received invalid payload context.'.... | [
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polyaxon/polyaxon | polyaxon/scheduler/tasks/experiments.py | copy_experiment | def copy_experiment(experiment):
"""If experiment is a restart, we should resume from last check point"""
try:
publisher.publish_experiment_job_log(
log_lines='Copying outputs from experiment `{}` into experiment `{}`'.format(
experiment.original_experiment.unique_name, exper... | python | def copy_experiment(experiment):
"""If experiment is a restart, we should resume from last check point"""
try:
publisher.publish_experiment_job_log(
log_lines='Copying outputs from experiment `{}` into experiment `{}`'.format(
experiment.original_experiment.unique_name, exper... | [
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polyaxon/polyaxon | polyaxon/event_manager/event_service.py | EventService.record | def record(self,
event_type: str,
event_data: Mapping = None,
instance: Any = None,
**kwargs) -> 'Event':
""" Validate and record an event.
>>> record('event.action', object_instance)
"""
if not self.is_setup:
retur... | python | def record(self,
event_type: str,
event_data: Mapping = None,
instance: Any = None,
**kwargs) -> 'Event':
""" Validate and record an event.
>>> record('event.action', object_instance)
"""
if not self.is_setup:
retur... | [
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polyaxon/polyaxon | polyaxon/dockerizer/dockerizer/initializer/generate.py | generate | def generate(job,
build_path: str,
from_image: str,
build_steps: Optional[List[str]] = None,
env_vars: Optional[List[Tuple[str, str]]] = None,
nvidia_bin: str = None,
set_lang_env: bool = True,
uid: int = None,
gid: ... | python | def generate(job,
build_path: str,
from_image: str,
build_steps: Optional[List[str]] = None,
env_vars: Optional[List[Tuple[str, str]]] = None,
nvidia_bin: str = None,
set_lang_env: bool = True,
uid: int = None,
gid: ... | [
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polyaxon/polyaxon | polyaxon/hpsearch/search_managers/random.py | RandomSearchManager.get_suggestions | def get_suggestions(self, iteration_config=None):
"""Return a list of suggestions based on random search.
Params:
matrix: `dict` representing the {hyperparam: hyperparam matrix config}.
n_suggestions: number of suggestions to make.
"""
matrix = self.hptuning_conf... | python | def get_suggestions(self, iteration_config=None):
"""Return a list of suggestions based on random search.
Params:
matrix: `dict` representing the {hyperparam: hyperparam matrix config}.
n_suggestions: number of suggestions to make.
"""
matrix = self.hptuning_conf... | [
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polyaxon/polyaxon | polyaxon/api/experiments/views.py | ExperimentMetricListView.get_serializer | def get_serializer(self, *args, **kwargs):
""" if an array is passed, set serializer to many """
if isinstance(kwargs.get('data', {}), list):
kwargs['many'] = True
return super().get_serializer(*args, **kwargs) | python | def get_serializer(self, *args, **kwargs):
""" if an array is passed, set serializer to many """
if isinstance(kwargs.get('data', {}), list):
kwargs['many'] = True
return super().get_serializer(*args, **kwargs) | [
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polyaxon/polyaxon | polyaxon/logs_handlers/tasks/log_handlers.py | logs_handle_experiment_job | def logs_handle_experiment_job(experiment_name: str,
experiment_uuid: str,
log_lines: Optional[Union[str, Iterable[str]]],
temp: bool = True) -> None:
"""Task handling for sidecars logs."""
handle_experiment_job_log(exp... | python | def logs_handle_experiment_job(experiment_name: str,
experiment_uuid: str,
log_lines: Optional[Union[str, Iterable[str]]],
temp: bool = True) -> None:
"""Task handling for sidecars logs."""
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polyaxon/polyaxon | polyaxon/logs_handlers/tasks/log_handlers.py | logs_handle_job | def logs_handle_job(job_uuid: str,
job_name: str,
log_lines: Optional[Union[str, Iterable[str]]],
temp: bool = True) -> None:
"""Task handling for sidecars logs."""
handle_job_logs(job_uuid=job_uuid,
job_name=job_name,
... | python | def logs_handle_job(job_uuid: str,
job_name: str,
log_lines: Optional[Union[str, Iterable[str]]],
temp: bool = True) -> None:
"""Task handling for sidecars logs."""
handle_job_logs(job_uuid=job_uuid,
job_name=job_name,
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polyaxon/polyaxon | polyaxon/logs_handlers/tasks/log_handlers.py | logs_handle_build_job | def logs_handle_build_job(job_uuid: str,
job_name: str,
log_lines: Optional[Union[str, Iterable[str]]],
temp: bool = True) -> None:
"""Task handling for sidecars logs."""
handle_build_job_logs(job_uuid=job_uuid,
... | python | def logs_handle_build_job(job_uuid: str,
job_name: str,
log_lines: Optional[Union[str, Iterable[str]]],
temp: bool = True) -> None:
"""Task handling for sidecars logs."""
handle_build_job_logs(job_uuid=job_uuid,
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polyaxon/polyaxon | polyaxon/hpsearch/iteration_managers/hyperband.py | HyperbandIterationManager.create_iteration | def create_iteration(self, num_suggestions=0):
"""Create an iteration for the experiment group."""
from db.models.experiment_groups import ExperimentGroupIteration
search_manager = self.experiment_group.search_manager
iteration_config = self.experiment_group.iteration_config
if... | python | def create_iteration(self, num_suggestions=0):
"""Create an iteration for the experiment group."""
from db.models.experiment_groups import ExperimentGroupIteration
search_manager = self.experiment_group.search_manager
iteration_config = self.experiment_group.iteration_config
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polyaxon/polyaxon | polyaxon/hpsearch/iteration_managers/hyperband.py | HyperbandIterationManager.get_reduced_configs | def get_reduced_configs(self):
"""Reduce the experiments to restart."""
iteration_config = self.experiment_group.iteration_config
if iteration_config is None:
logger.error(
'Experiment group `%s` attempt to update iteration, but has no iteration',
self... | python | def get_reduced_configs(self):
"""Reduce the experiments to restart."""
iteration_config = self.experiment_group.iteration_config
if iteration_config is None:
logger.error(
'Experiment group `%s` attempt to update iteration, but has no iteration',
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polyaxon/polyaxon | polyaxon/hpsearch/iteration_managers/hyperband.py | HyperbandIterationManager.reduce_configs | def reduce_configs(self):
"""Reduce the experiments to restart."""
experiment_ids = self.get_reduced_configs()
experiments = self.experiment_group.experiments.filter(id__in=experiment_ids)
self.create_iteration()
iteration_config = self.experiment_group.iteration_config
h... | python | def reduce_configs(self):
"""Reduce the experiments to restart."""
experiment_ids = self.get_reduced_configs()
experiments = self.experiment_group.experiments.filter(id__in=experiment_ids)
self.create_iteration()
iteration_config = self.experiment_group.iteration_config
h... | [
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polyaxon/polyaxon | polyaxon/db/models/projects.py | Project.all_experiment_groups | def all_experiment_groups(self):
"""
Similar to experiment_groups,
but uses the default manager to return archived experiments as well.
"""
from db.models.experiment_groups import ExperimentGroup
return ExperimentGroup.all.filter(project=self) | python | def all_experiment_groups(self):
"""
Similar to experiment_groups,
but uses the default manager to return archived experiments as well.
"""
from db.models.experiment_groups import ExperimentGroup
return ExperimentGroup.all.filter(project=self) | [
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polyaxon/polyaxon | polyaxon/db/models/projects.py | Project.all_jobs | def all_jobs(self):
"""
Similar to jobs,
but uses the default manager to return archived experiments as well.
"""
from db.models.jobs import Job
return Job.all.filter(project=self) | python | def all_jobs(self):
"""
Similar to jobs,
but uses the default manager to return archived experiments as well.
"""
from db.models.jobs import Job
return Job.all.filter(project=self) | [
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polyaxon/polyaxon | polyaxon/db/models/projects.py | Project.all_build_jobs | def all_build_jobs(self):
"""
Similar to build_jobs,
but uses the default manager to return archived experiments as well.
"""
from db.models.build_jobs import BuildJob
return BuildJob.all.filter(project=self) | python | def all_build_jobs(self):
"""
Similar to build_jobs,
but uses the default manager to return archived experiments as well.
"""
from db.models.build_jobs import BuildJob
return BuildJob.all.filter(project=self) | [
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polyaxon/polyaxon | polyaxon/db/models/projects.py | Project.all_notebook_jobs | def all_notebook_jobs(self):
"""
Similar to notebook_jobs,
but uses the default manager to return archived experiments as well.
"""
from db.models.notebooks import NotebookJob
return NotebookJob.all.filter(project=self) | python | def all_notebook_jobs(self):
"""
Similar to notebook_jobs,
but uses the default manager to return archived experiments as well.
"""
from db.models.notebooks import NotebookJob
return NotebookJob.all.filter(project=self) | [
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polyaxon/polyaxon | polyaxon/db/models/projects.py | Project.all_tensorboard_jobs | def all_tensorboard_jobs(self):
"""
Similar to tensorboard_jobs,
but uses the default manager to return archived experiments as well.
"""
from db.models.tensorboards import TensorboardJob
return TensorboardJob.all.filter(project=self) | python | def all_tensorboard_jobs(self):
"""
Similar to tensorboard_jobs,
but uses the default manager to return archived experiments as well.
"""
from db.models.tensorboards import TensorboardJob
return TensorboardJob.all.filter(project=self) | [
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polyaxon/polyaxon | polyaxon/db/models/experiment_groups.py | ExperimentGroup.all_experiments | def all_experiments(self):
"""
Similar to experiments,
but uses the default manager to return archived experiments as well.
"""
from db.models.experiments import Experiment
return Experiment.all.filter(experiment_group=self) | python | def all_experiments(self):
"""
Similar to experiments,
but uses the default manager to return archived experiments as well.
"""
from db.models.experiments import Experiment
return Experiment.all.filter(experiment_group=self) | [
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polyaxon/polyaxon | polyaxon/db/models/experiment_groups.py | ExperimentGroup.all_group_experiments | def all_group_experiments(self):
"""
Similar to group_experiments,
but uses the default manager to return archived experiments as well.
"""
from db.models.experiments import Experiment
if self.is_selection:
return Experiment.all.filter(selections=self)
... | python | def all_group_experiments(self):
"""
Similar to group_experiments,
but uses the default manager to return archived experiments as well.
"""
from db.models.experiments import Experiment
if self.is_selection:
return Experiment.all.filter(selections=self)
... | [
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polyaxon/polyaxon | polyaxon/pipelines/dags.py | get_dag | def get_dag(nodes, downstream_fn) -> Tuple[Dict, Dict]:
"""Return a dag representation of the nodes passed.
This is equally used for pipelines and pipeline runs.
Params:
nodes: an instance of `Operation` | `OperationRun` the nodes to represent en dag.
downstream_fn: a function that returns... | python | def get_dag(nodes, downstream_fn) -> Tuple[Dict, Dict]:
"""Return a dag representation of the nodes passed.
This is equally used for pipelines and pipeline runs.
Params:
nodes: an instance of `Operation` | `OperationRun` the nodes to represent en dag.
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polyaxon/polyaxon | polyaxon/pipelines/dags.py | get_independent_nodes | def get_independent_nodes(dag):
"""Get a list of all node in the graph with no dependencies."""
nodes = set(dag.keys())
dependent_nodes = set([node for downstream_nodes in dag.values() for node in downstream_nodes])
return set(nodes - dependent_nodes) | python | def get_independent_nodes(dag):
"""Get a list of all node in the graph with no dependencies."""
nodes = set(dag.keys())
dependent_nodes = set([node for downstream_nodes in dag.values() for node in downstream_nodes])
return set(nodes - dependent_nodes) | [
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polyaxon/polyaxon | polyaxon/pipelines/dags.py | get_orphan_nodes | def get_orphan_nodes(dag):
"""Get orphan nodes for given dag."""
independent_nodes = get_independent_nodes(dag)
return set([node for node in independent_nodes if not dag[node]]) | python | def get_orphan_nodes(dag):
"""Get orphan nodes for given dag."""
independent_nodes = get_independent_nodes(dag)
return set([node for node in independent_nodes if not dag[node]]) | [
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polyaxon/polyaxon | polyaxon/pipelines/dags.py | has_dependencies | def has_dependencies(node, dag):
"""Checks if the node has dependencies."""
for downstream_nodes in dag.values():
if node in downstream_nodes:
return True
return False | python | def has_dependencies(node, dag):
"""Checks if the node has dependencies."""
for downstream_nodes in dag.values():
if node in downstream_nodes:
return True
return False | [
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polyaxon/polyaxon | polyaxon/pipelines/dags.py | sort_topologically | def sort_topologically(dag):
"""Sort the dag breath first topologically.
Only the nodes inside the dag are returned, i.e. the nodes that are also keys.
Returns:
a topological ordering of the DAG.
Raises:
an error if this is not possible (graph is not valid).
"""
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"""Sort the dag breath first topologically.
Only the nodes inside the dag are returned, i.e. the nodes that are also keys.
Returns:
a topological ordering of the DAG.
Raises:
an error if this is not possible (graph is not valid).
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polyaxon/polyaxon | polyaxon/query/parser.py | parse_negation_operation | def parse_negation_operation(operation: str) -> Tuple[bool, str]:
"""Parse the negation modifier in an operation."""
_operation = operation.strip()
if not _operation:
raise QueryParserException('Operation is not valid: {}'.format(operation))
negation = False
if _operation[0] == '~':
... | python | def parse_negation_operation(operation: str) -> Tuple[bool, str]:
"""Parse the negation modifier in an operation."""
_operation = operation.strip()
if not _operation:
raise QueryParserException('Operation is not valid: {}'.format(operation))
negation = False
if _operation[0] == '~':
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polyaxon/polyaxon | polyaxon/query/parser.py | parse_comparison_operation | def parse_comparison_operation(operation: str) -> Tuple[Optional[str], str]:
"""Parse the comparision operator in an operation."""
_operation = operation.strip()
if not _operation:
raise QueryParserException('Operation is not valid: {}'.format(operation))
# Check inclusion comparison
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"""Parse the comparision operator in an operation."""
_operation = operation.strip()
if not _operation:
raise QueryParserException('Operation is not valid: {}'.format(operation))
# Check inclusion comparison
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polyaxon/polyaxon | polyaxon/query/parser.py | parse_datetime_operation | def parse_datetime_operation(operation: str) -> 'QueryOpSpec':
"""Parse datetime operations.
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* negation single value: start_date:~2014-10-10
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"""Parse datetime operations.
A datetime operation can one of the following:
* single value: start_date:2014-10-10, start_date:>2014-10-10, start_date:>=2014-10-10
* negation single value: start_date:~2014-10-10
* interval: start_da... | [
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polyaxon/polyaxon | polyaxon/query/parser.py | parse_scalar_operation | def parse_scalar_operation(operation: str) -> 'QueryOpSpec':
"""Parse scalar operations.
A scalar operation can one of the following:
* single value: start_date:12, metric1:>0.9, metric1:>=-0.12
* negation single value: metric1:~1112, metric1:~<1112 equivalent to metric1:>=1112
This parser does... | python | def parse_scalar_operation(operation: str) -> 'QueryOpSpec':
"""Parse scalar operations.
A scalar operation can one of the following:
* single value: start_date:12, metric1:>0.9, metric1:>=-0.12
* negation single value: metric1:~1112, metric1:~<1112 equivalent to metric1:>=1112
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polyaxon/polyaxon | polyaxon/query/parser.py | parse_expression | def parse_expression(expression: str) -> Tuple[str, str]:
"""Base parsing for expressions.
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`name:[modifier|operator]operation[*[operator]operation]`
So this parser just split the expression into: field name, operation.
"""
try:
_expressi... | python | def parse_expression(expression: str) -> Tuple[str, str]:
"""Base parsing for expressions.
Every expression must follow a basic format:
`name:[modifier|operator]operation[*[operator]operation]`
So this parser just split the expression into: field name, operation.
"""
try:
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polyaxon/polyaxon | polyaxon/query/parser.py | split_query | def split_query(query: str) -> List[str]:
"""Split a query into different expressions.
Example:
name:bla, foo:<=1
"""
try:
_query = query.strip()
except (ValueError, AttributeError):
raise QueryParserException('query is not valid, received instead {}'.format(query))
exp... | python | def split_query(query: str) -> List[str]:
"""Split a query into different expressions.
Example:
name:bla, foo:<=1
"""
try:
_query = query.strip()
except (ValueError, AttributeError):
raise QueryParserException('query is not valid, received instead {}'.format(query))
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polyaxon/polyaxon | polyaxon/query/parser.py | tokenize_query | def tokenize_query(query: str) -> Dict[str, Iterable]:
"""Tokenizes a standard search query in name: operations mapping.
Example:
moo:bla, foo:~<=1, foo:ll..ff
{
'moo': ['bla'],
'foo': ['~<=1', 'll..ff']
}
"""
expressions = split_query(query)
name_operat... | python | def tokenize_query(query: str) -> Dict[str, Iterable]:
"""Tokenizes a standard search query in name: operations mapping.
Example:
moo:bla, foo:~<=1, foo:ll..ff
{
'moo': ['bla'],
'foo': ['~<=1', 'll..ff']
}
"""
expressions = split_query(query)
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polyaxon/polyaxon | polyaxon/query/parser.py | parse_field | def parse_field(field: str) -> Tuple[str, Optional[str]]:
"""Parses fields with underscores, and return field and suffix.
Example:
foo => foo, None
metric.foo => metric, foo
"""
_field = field.split('.')
_field = [f.strip() for f in _field]
if len(_field) == 1 and _field[0]:
... | python | def parse_field(field: str) -> Tuple[str, Optional[str]]:
"""Parses fields with underscores, and return field and suffix.
Example:
foo => foo, None
metric.foo => metric, foo
"""
_field = field.split('.')
_field = [f.strip() for f in _field]
if len(_field) == 1 and _field[0]:
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polyaxon/polyaxon | polyaxon/pipelines/utils.py | set_op_upstreams | def set_op_upstreams(op_run, op):
"""Set the upstream operations for operation run."""
# We get a list of all upstream ops or the current op
upstream_ops = op.upstream_operations.values_list('id', flat=True)
# We get latest op runs for the upstream_ops
latest_op_runs = OperationRun.objects.filter(id... | python | def set_op_upstreams(op_run, op):
"""Set the upstream operations for operation run."""
# We get a list of all upstream ops or the current op
upstream_ops = op.upstream_operations.values_list('id', flat=True)
# We get latest op runs for the upstream_ops
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] | e1724f0756b1a42f9e7aa08a976584a84ef7f016 | https://github.com/polyaxon/polyaxon/blob/e1724f0756b1a42f9e7aa08a976584a84ef7f016/polyaxon/pipelines/utils.py#L7-L16 | train | Set the upstream operations for an operation run. | Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL... |
polyaxon/polyaxon | polyaxon/pipelines/utils.py | set_topological_dag_upstreams | def set_topological_dag_upstreams(dag, ops, op_runs, runs_by_ops):
"""Set the upstream runs for the operation runs in the dag following the topological sort."""
sorted_ops = dags.sort_topologically(dag=dag)
for op_id in sorted_ops:
op_run_id = runs_by_ops[op_id]
op_run = op_runs[op_run_id]
... | python | def set_topological_dag_upstreams(dag, ops, op_runs, runs_by_ops):
"""Set the upstream runs for the operation runs in the dag following the topological sort."""
sorted_ops = dags.sort_topologically(dag=dag)
for op_id in sorted_ops:
op_run_id = runs_by_ops[op_id]
op_run = op_runs[op_run_id]
... | [
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polyaxon/polyaxon | polyaxon/pipelines/utils.py | create_pipeline_run | def create_pipeline_run(pipeline, context_by_op):
"""Create a pipeline run/instance."""
pipeline_run = PipelineRun.objects.create(pipeline=pipeline)
dag, ops = pipeline.dag
# Go trough the operation and create operation runs and the upstreams
op_runs = {}
runs_by_ops = {}
for op_id in dag.ke... | python | def create_pipeline_run(pipeline, context_by_op):
"""Create a pipeline run/instance."""
pipeline_run = PipelineRun.objects.create(pipeline=pipeline)
dag, ops = pipeline.dag
# Go trough the operation and create operation runs and the upstreams
op_runs = {}
runs_by_ops = {}
for op_id in dag.ke... | [
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polyaxon/polyaxon | polyaxon/k8s_events_handlers/tasks/statuses.py | k8s_events_handle_experiment_job_statuses | def k8s_events_handle_experiment_job_statuses(self: 'celery_app.task', payload: Dict) -> None:
"""Experiment jobs statuses"""
details = payload['details']
job_uuid = details['labels']['job_uuid']
logger.debug('handling events status for job_uuid: %s, status: %s',
job_uuid, payload['stat... | python | def k8s_events_handle_experiment_job_statuses(self: 'celery_app.task', payload: Dict) -> None:
"""Experiment jobs statuses"""
details = payload['details']
job_uuid = details['labels']['job_uuid']
logger.debug('handling events status for job_uuid: %s, status: %s',
job_uuid, payload['stat... | [
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polyaxon/polyaxon | polyaxon/k8s_events_handlers/tasks/statuses.py | k8s_events_handle_job_statuses | def k8s_events_handle_job_statuses(self: 'celery_app.task', payload: Dict) -> None:
"""Project jobs statuses"""
details = payload['details']
job_uuid = details['labels']['job_uuid']
job_name = details['labels']['job_name']
project_name = details['labels'].get('project_name')
logger.debug('handli... | python | def k8s_events_handle_job_statuses(self: 'celery_app.task', payload: Dict) -> None:
"""Project jobs statuses"""
details = payload['details']
job_uuid = details['labels']['job_uuid']
job_name = details['labels']['job_name']
project_name = details['labels'].get('project_name')
logger.debug('handli... | [
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polyaxon/polyaxon | polyaxon/k8s_events_handlers/tasks/statuses.py | k8s_events_handle_plugin_job_statuses | def k8s_events_handle_plugin_job_statuses(self: 'celery_app.task', payload: Dict) -> None:
"""Project Plugin jobs statuses"""
details = payload['details']
app = details['labels']['app']
job_uuid = details['labels']['job_uuid']
job_name = details['labels']['job_name']
project_name = details['labe... | python | def k8s_events_handle_plugin_job_statuses(self: 'celery_app.task', payload: Dict) -> None:
"""Project Plugin jobs statuses"""
details = payload['details']
app = details['labels']['app']
job_uuid = details['labels']['job_uuid']
job_name = details['labels']['job_name']
project_name = details['labe... | [
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polyaxon/polyaxon | polyaxon/k8s_events_handlers/tasks/statuses.py | k8s_events_handle_build_job_statuses | def k8s_events_handle_build_job_statuses(self: 'celery_app.task', payload: Dict) -> None:
"""Project Plugin jobs statuses"""
details = payload['details']
app = details['labels']['app']
job_uuid = details['labels']['job_uuid']
job_name = details['labels']['job_name']
project_name = details['label... | python | def k8s_events_handle_build_job_statuses(self: 'celery_app.task', payload: Dict) -> None:
"""Project Plugin jobs statuses"""
details = payload['details']
app = details['labels']['app']
job_uuid = details['labels']['job_uuid']
job_name = details['labels']['job_name']
project_name = details['label... | [
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polyaxon/polyaxon | polyaxon/scheduler/spawners/templates/sidecars.py | get_sidecar_container | def get_sidecar_container(job_container_name,
sidecar_container_name,
sidecar_docker_image,
sidecar_docker_image_pull_policy,
namespace,
sidecar_config,
sidecar_arg... | python | def get_sidecar_container(job_container_name,
sidecar_container_name,
sidecar_docker_image,
sidecar_docker_image_pull_policy,
namespace,
sidecar_config,
sidecar_arg... | [
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] | e1724f0756b1a42f9e7aa08a976584a84ef7f016 | https://github.com/polyaxon/polyaxon/blob/e1724f0756b1a42f9e7aa08a976584a84ef7f016/polyaxon/scheduler/spawners/templates/sidecars.py#L38-L61 | train | Return a pod sidecar container. | Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL... |
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