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b8d392f84453059a12f9169b84807a433e7e3a3d
theletterf/collectd-spark
spark_plugin.py
[ "Apache-2.0" ]
Python
rest_request
<not_specific>
def rest_request(self, url, path, *args, **kwargs): """ Makes REST call to Spark API endpoint """ url = url.rstrip("/") + "/" + path.lstrip("/") if args: for arg in args: url = url.rstrip("/") + "/" + arg.lstrip("/") if kwargs: que...
Makes REST call to Spark API endpoint
Makes REST call to Spark API endpoint
[ "Makes", "REST", "call", "to", "Spark", "API", "endpoint" ]
def rest_request(self, url, path, *args, **kwargs): url = url.rstrip("/") + "/" + path.lstrip("/") if args: for arg in args: url = url.rstrip("/") + "/" + arg.lstrip("/") if kwargs: query = "&".join(["{0}={1}".format(key, value) for key, value in kwargs.it...
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Makes REST call to Spark API endpoint
[ "Makes", "REST", "call", "to", "Spark", "API", "endpoint" ]
[ "\"\"\"\n Makes REST call to Spark API endpoint\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "url", "type": null }, { "param": "path", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "url", "type": null, "docstring": null, "docstring_tokens": []...
b8d392f84453059a12f9169b84807a433e7e3a3d
theletterf/collectd-spark
spark_plugin.py
[ "Apache-2.0" ]
Python
configure
<not_specific>
def configure(self, config_map): """ Configuration callback for collectd Args: config_map (dict): mapping of config name to value """ collectd.info("Configuring Spark Process Plugin ...") if "MasterPort" not in config_map and "WorkerPorts" not in config_map: ...
Configuration callback for collectd Args: config_map (dict): mapping of config name to value
Configuration callback for collectd Args: config_map (dict): mapping of config name to value
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def configure(self, config_map): collectd.info("Configuring Spark Process Plugin ...") if "MasterPort" not in config_map and "WorkerPorts" not in config_map: raise ValueError( "No port provided for metrics url - \ please provide key 'MasterPort' and/or 'Worker...
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Configuration callback for collectd Args: config_map (dict): mapping of config name to value
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[ "\"\"\"\n Configuration callback for collectd\n\n Args:\n config_map (dict): mapping of config name to value\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "config_map", "type": null } ]
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b8d392f84453059a12f9169b84807a433e7e3a3d
theletterf/collectd-spark
spark_plugin.py
[ "Apache-2.0" ]
Python
read
null
def read(self): """ Makes API calls for cluster level metrics related to master and worker nodes and posts them to SignalFx """ if self.master_port: master = self.metric_address + ":" + self.master_port master_resp = self.spark_agent.request_metric...
Makes API calls for cluster level metrics related to master and worker nodes and posts them to SignalFx
Makes API calls for cluster level metrics related to master and worker nodes and posts them to SignalFx
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def read(self): if self.master_port: master = self.metric_address + ":" + self.master_port master_resp = self.spark_agent.request_metrics(master, MASTER_PATH) master_metrics = self.get_metrics(master_resp, "master") self.post_metrics(master_metrics) if sel...
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Makes API calls for cluster level metrics related to master and worker nodes and posts them to SignalFx
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[ "\"\"\"\n Makes API calls for cluster level metrics\n related to master and worker nodes\n and posts them to SignalFx\n \"\"\"" ]
[ { "param": "self", "type": null } ]
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b8d392f84453059a12f9169b84807a433e7e3a3d
theletterf/collectd-spark
spark_plugin.py
[ "Apache-2.0" ]
Python
configure
null
def configure(self, config_map): """ Configuration callback for collectd Args: config_map (dict): mapping of config name to value """ collectd.info("Configuring Spark Application Plugin ...") required_keys = ("Cluster", "Master") for key in required_key...
Configuration callback for collectd Args: config_map (dict): mapping of config name to value
Configuration callback for collectd Args: config_map (dict): mapping of config name to value
[ "Configuration", "callback", "for", "collectd", "Args", ":", "config_map", "(", "dict", ")", ":", "mapping", "of", "config", "name", "to", "value" ]
def configure(self, config_map): collectd.info("Configuring Spark Application Plugin ...") required_keys = ("Cluster", "Master") for key in required_keys: if key not in config_map: raise ValueError("Missing required config setting: %s" % key) for key, value in...
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Configuration callback for collectd Args: config_map (dict): mapping of config name to value
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[ "\"\"\"\n Configuration callback for collectd\n\n Args:\n config_map (dict): mapping of config name to value\n \"\"\"" ]
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{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "config_map", "type": null, "docstring": null, "docstring_toke...
b8d392f84453059a12f9169b84807a433e7e3a3d
theletterf/collectd-spark
spark_plugin.py
[ "Apache-2.0" ]
Python
read
null
def read(self): """ Collect metrics from Spark API endpoints and send to SignalFx """ # Get all active apps in cluster apps = self._get_running_apps() # Get streaming metrics self._get_streaming_metrics(apps) # Get the job metrics self._get_job_...
Collect metrics from Spark API endpoints and send to SignalFx
Collect metrics from Spark API endpoints and send to SignalFx
[ "Collect", "metrics", "from", "Spark", "API", "endpoints", "and", "send", "to", "SignalFx" ]
def read(self): apps = self._get_running_apps() self._get_streaming_metrics(apps) self._get_job_metrics(apps) self._get_stage_metrics(apps) self._get_executor_metrics(apps) self.post_metrics() self.cleanup()
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Collect metrics from Spark API endpoints and send to SignalFx
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[ "\"\"\"\n Collect metrics from Spark API endpoints and send to SignalFx\n \"\"\"", "# Get all active apps in cluster", "# Get streaming metrics", "# Get the job metrics", "# Get the stage metrics", "# Get the executor metrics", "# Send metrics to SignalFx", "# clear metrics data structur...
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
b8d392f84453059a12f9169b84807a433e7e3a3d
theletterf/collectd-spark
spark_plugin.py
[ "Apache-2.0" ]
Python
_get_standalone_apps
<not_specific>
def _get_standalone_apps(self): """ Retrieve active applications for Spark standalone cluster Uses BeautifulSoup module to find driver URL mapped to the specific application. The driver URL is the API endpoint required to retrieve any application level metrics """ ...
Retrieve active applications for Spark standalone cluster Uses BeautifulSoup module to find driver URL mapped to the specific application. The driver URL is the API endpoint required to retrieve any application level metrics
Retrieve active applications for Spark standalone cluster Uses BeautifulSoup module to find driver URL mapped to the specific application. The driver URL is the API endpoint required to retrieve any application level metrics
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def _get_standalone_apps(self): resp = self.spark_agent.request_metrics(self.master, STANDALONE_STATE_PATH) apps = {} active_apps = {} if "activeapps" in resp: active_apps = resp["activeapps"] for app in active_apps: app_id = app.get("id") app_...
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Retrieve active applications for Spark standalone cluster Uses BeautifulSoup module to find driver URL mapped to the specific application.
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[ "\"\"\"\n Retrieve active applications for Spark standalone cluster\n\n Uses BeautifulSoup module to find driver URL mapped to the specific\n application. The driver URL is the API endpoint required to\n retrieve any application level metrics\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
b8d392f84453059a12f9169b84807a433e7e3a3d
theletterf/collectd-spark
spark_plugin.py
[ "Apache-2.0" ]
Python
_get_mesos_apps
<not_specific>
def _get_mesos_apps(self): """ Retrieve all applications corresponding to Spark mesos cluster """ resp = self.spark_agent.request_metrics(self.master, MESOS_MASTER_APP_PATH) apps = {} frameworks = {} if "frameworks" in resp: frameworks = resp["framewor...
Retrieve all applications corresponding to Spark mesos cluster
Retrieve all applications corresponding to Spark mesos cluster
[ "Retrieve", "all", "applications", "corresponding", "to", "Spark", "mesos", "cluster" ]
def _get_mesos_apps(self): resp = self.spark_agent.request_metrics(self.master, MESOS_MASTER_APP_PATH) apps = {} frameworks = {} if "frameworks" in resp: frameworks = resp["frameworks"] for app in frameworks: app_id = app.get("id") app_name = a...
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Retrieve all applications corresponding to Spark mesos cluster
[ "Retrieve", "all", "applications", "corresponding", "to", "Spark", "mesos", "cluster" ]
[ "\"\"\"\n Retrieve all applications corresponding to Spark mesos cluster\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
b8d392f84453059a12f9169b84807a433e7e3a3d
theletterf/collectd-spark
spark_plugin.py
[ "Apache-2.0" ]
Python
_get_yarn_apps
<not_specific>
def _get_yarn_apps(self): """ Retrieve all applications corresponding to Spark mesos cluster from yarn """ resp = self.spark_agent.request_metrics(self.master, YARN_MASTER_APP_PATH) apps = {} for app in resp.get("apps", {}).get("app", []): if app.get(...
Retrieve all applications corresponding to Spark mesos cluster from yarn
Retrieve all applications corresponding to Spark mesos cluster from yarn
[ "Retrieve", "all", "applications", "corresponding", "to", "Spark", "mesos", "cluster", "from", "yarn" ]
def _get_yarn_apps(self): resp = self.spark_agent.request_metrics(self.master, YARN_MASTER_APP_PATH) apps = {} for app in resp.get("apps", {}).get("app", []): if app.get("applicationType", "").upper() == "SPARK" and app.get("state", "").upper() == "RUNNING": app_id = ...
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Retrieve all applications corresponding to Spark mesos cluster from yarn
[ "Retrieve", "all", "applications", "corresponding", "to", "Spark", "mesos", "cluster", "from", "yarn" ]
[ "\"\"\"\n Retrieve all applications corresponding to Spark mesos cluster\n from yarn\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
b8d392f84453059a12f9169b84807a433e7e3a3d
theletterf/collectd-spark
spark_plugin.py
[ "Apache-2.0" ]
Python
_get_running_apps
<not_specific>
def _get_running_apps(self): """ Retrieve running applications in Spark based on cluster """ if not self.cluster_mode: collectd.info("Cluster mode not defined") return [] if self.cluster_mode == SPARK_STANDALONE_MODE: return self._get_standalon...
Retrieve running applications in Spark based on cluster
Retrieve running applications in Spark based on cluster
[ "Retrieve", "running", "applications", "in", "Spark", "based", "on", "cluster" ]
def _get_running_apps(self): if not self.cluster_mode: collectd.info("Cluster mode not defined") return [] if self.cluster_mode == SPARK_STANDALONE_MODE: return self._get_standalone_apps() elif self.cluster_mode == SPARK_MESOS_MODE: return self._ge...
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Retrieve running applications in Spark based on cluster
[ "Retrieve", "running", "applications", "in", "Spark", "based", "on", "cluster" ]
[ "\"\"\"\n Retrieve running applications in Spark based on cluster\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
b8d392f84453059a12f9169b84807a433e7e3a3d
theletterf/collectd-spark
spark_plugin.py
[ "Apache-2.0" ]
Python
_get_streaming_metrics
null
def _get_streaming_metrics(self, apps): """ Get streaming metrics corresponding to a streaming application Args: apps (dict): Mapping of application id to app name, user, and url endpoint for API call """ for app_id, (app_name, app_user, tracking_url...
Get streaming metrics corresponding to a streaming application Args: apps (dict): Mapping of application id to app name, user, and url endpoint for API call
Get streaming metrics corresponding to a streaming application Args: apps (dict): Mapping of application id to app name, user, and url endpoint for API call
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def _get_streaming_metrics(self, apps): for app_id, (app_name, app_user, tracking_url) in apps.items(): resp = self.spark_agent.request_metrics(tracking_url, APPS_ENDPOINT, app_id, "streaming/statistics") if not resp: continue dim = {"app_name": str(app_name),...
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Get streaming metrics corresponding to a streaming application Args: apps (dict): Mapping of application id to app name, user, and url endpoint for API call
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[ "\"\"\"\n Get streaming metrics corresponding to a streaming application\n\n Args:\n apps (dict): Mapping of application id to app name, user,\n and url endpoint for API call\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "apps", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "apps", "type": null, "docstring": null, "docstring_tokens": [...
b8d392f84453059a12f9169b84807a433e7e3a3d
theletterf/collectd-spark
spark_plugin.py
[ "Apache-2.0" ]
Python
_get_job_metrics
null
def _get_job_metrics(self, apps): """ Get job metrics corresponding to a running application Args: apps (dict): Mapping of application id to app name, user, and url endpoint for API call """ for app_id, (app_name, app_user, tracking_url) in apps.item...
Get job metrics corresponding to a running application Args: apps (dict): Mapping of application id to app name, user, and url endpoint for API call
Get job metrics corresponding to a running application Args: apps (dict): Mapping of application id to app name, user, and url endpoint for API call
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def _get_job_metrics(self, apps): for app_id, (app_name, app_user, tracking_url) in apps.items(): resp = self.spark_agent.request_metrics(tracking_url, APPS_ENDPOINT, app_id, "jobs", status="RUNNING") if not resp: continue dim = {"app_name": str(app_name), "us...
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Get job metrics corresponding to a running application Args: apps (dict): Mapping of application id to app name, user, and url endpoint for API call
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[ "\"\"\"\n Get job metrics corresponding to a running application\n\n Args:\n apps (dict): Mapping of application id to app name, user,\n and url endpoint for API call\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "apps", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "apps", "type": null, "docstring": null, "docstring_tokens": [...
b8d392f84453059a12f9169b84807a433e7e3a3d
theletterf/collectd-spark
spark_plugin.py
[ "Apache-2.0" ]
Python
_get_stage_metrics
null
def _get_stage_metrics(self, apps): """ Get stage metrics corresponding to a running application Args: apps (dict): Mapping of application id to app name, user, and url endpoint for API call """ for app_id, (app_name, app_user, tracking_url) in apps....
Get stage metrics corresponding to a running application Args: apps (dict): Mapping of application id to app name, user, and url endpoint for API call
Get stage metrics corresponding to a running application Args: apps (dict): Mapping of application id to app name, user, and url endpoint for API call
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def _get_stage_metrics(self, apps): for app_id, (app_name, app_user, tracking_url) in apps.items(): resp = self.spark_agent.request_metrics(tracking_url, APPS_ENDPOINT, app_id, "stages", status="ACTIVE") if not resp: continue dim = {"app_name": str(app_name), ...
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Get stage metrics corresponding to a running application Args: apps (dict): Mapping of application id to app name, user, and url endpoint for API call
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[ "\"\"\"\n Get stage metrics corresponding to a running application\n\n Args:\n apps (dict): Mapping of application id to app name, user,\n and url endpoint for API call\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "apps", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "apps", "type": null, "docstring": null, "docstring_tokens": [...
b8d392f84453059a12f9169b84807a433e7e3a3d
theletterf/collectd-spark
spark_plugin.py
[ "Apache-2.0" ]
Python
_update_driver_metrics
<not_specific>
def _update_driver_metrics(self, executor, exec_metrics, dim): """ Helper method to get driver specific metrics from executor endpoint Args: executor (dict): JSON response containing driver-specific metrics exec_metrics (dict): Mapping of metric name (key in JSON response) to ...
Helper method to get driver specific metrics from executor endpoint Args: executor (dict): JSON response containing driver-specific metrics exec_metrics (dict): Mapping of metric name (key in JSON response) to MetricRecord object to be sent by collectd ...
Helper method to get driver specific metrics from executor endpoint Args: executor (dict): JSON response containing driver-specific metrics exec_metrics (dict): Mapping of metric name (key in JSON response) to MetricRecord object to be sent by collectd dim (dict): Dictionary representing dimensions
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def _update_driver_metrics(self, executor, exec_metrics, dim): for key, (metric_type, metric_name) in metrics.SPARK_DRIVER_METRICS.items(): if key not in executor: continue metric_value = executor[key] mr = exec_metrics.get(metric_name, MetricRecord(metric_nam...
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Helper method to get driver specific metrics from executor endpoint Args: executor (dict): JSON response containing driver-specific metrics exec_metrics (dict): Mapping of metric name (key in JSON response) to MetricRecord object to be sent by collectd dim (dict): Dictionary representing dimensions
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[ "\"\"\"\n Helper method to get driver specific metrics from executor endpoint\n\n Args:\n executor (dict): JSON response containing driver-specific metrics\n exec_metrics (dict): Mapping of metric name (key in JSON response) to\n MetricRecord object to be sent...
[ { "param": "self", "type": null }, { "param": "executor", "type": null }, { "param": "exec_metrics", "type": null }, { "param": "dim", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "executor", "type": null, "docstring": null, "docstring_tokens...
b8d392f84453059a12f9169b84807a433e7e3a3d
theletterf/collectd-spark
spark_plugin.py
[ "Apache-2.0" ]
Python
_update_executor_metrics
<not_specific>
def _update_executor_metrics(self, executor, exec_metrics, dim): """ Helper method to get executor metrics Args: executor (dict): JSON response containing executor metrics exec_metrics (dict): Mapping of metric name (key in JSON response) to MetricRe...
Helper method to get executor metrics Args: executor (dict): JSON response containing executor metrics exec_metrics (dict): Mapping of metric name (key in JSON response) to MetricRecord object to be sent by collectd dim (dict): Dictionary representi...
Helper method to get executor metrics Args: executor (dict): JSON response containing executor metrics exec_metrics (dict): Mapping of metric name (key in JSON response) to MetricRecord object to be sent by collectd dim (dict): Dictionary representing dimensions
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def _update_executor_metrics(self, executor, exec_metrics, dim): for key, (metric_type, metric_name) in metrics.SPARK_EXECUTOR_METRICS.items(): if key not in executor: continue metric_value = executor[key] mr = exec_metrics.get(metric_name, MetricRecord(metric...
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Helper method to get executor metrics Args: executor (dict): JSON response containing executor metrics exec_metrics (dict): Mapping of metric name (key in JSON response) to MetricRecord object to be sent by collectd dim (dict): Dictionary representing dimensions
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[ "\"\"\"\n Helper method to get executor metrics\n\n Args:\n executor (dict): JSON response containing executor metrics\n exec_metrics (dict): Mapping of metric name (key in JSON response) to\n MetricRecord object to be sent by collectd\n dim (dict): Dic...
[ { "param": "self", "type": null }, { "param": "executor", "type": null }, { "param": "exec_metrics", "type": null }, { "param": "dim", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "executor", "type": null, "docstring": null, "docstring_tokens...
b8d392f84453059a12f9169b84807a433e7e3a3d
theletterf/collectd-spark
spark_plugin.py
[ "Apache-2.0" ]
Python
_get_executor_metrics
null
def _get_executor_metrics(self, apps): """ Get executor metrics corresponding to a running application Args: apps (dict): Mapping of application id to app name, user, and url endpoint for API call """ for app_id, (app_name, app_user, tracking_url) in...
Get executor metrics corresponding to a running application Args: apps (dict): Mapping of application id to app name, user, and url endpoint for API call
Get executor metrics corresponding to a running application Args: apps (dict): Mapping of application id to app name, user, and url endpoint for API call
[ "Get", "executor", "metrics", "corresponding", "to", "a", "running", "application", "Args", ":", "apps", "(", "dict", ")", ":", "Mapping", "of", "application", "id", "to", "app", "name", "user", "and", "url", "endpoint", "for", "API", "call" ]
def _get_executor_metrics(self, apps): for app_id, (app_name, app_user, tracking_url) in apps.items(): resp = self.spark_agent.request_metrics(tracking_url, APPS_ENDPOINT, app_id, "executors") if not resp: continue dim = {"app_name": str(app_name), "user": str...
[ "def", "_get_executor_metrics", "(", "self", ",", "apps", ")", ":", "for", "app_id", ",", "(", "app_name", ",", "app_user", ",", "tracking_url", ")", "in", "apps", ".", "items", "(", ")", ":", "resp", "=", "self", ".", "spark_agent", ".", "request_metric...
Get executor metrics corresponding to a running application Args: apps (dict): Mapping of application id to app name, user, and url endpoint for API call
[ "Get", "executor", "metrics", "corresponding", "to", "a", "running", "application", "Args", ":", "apps", "(", "dict", ")", ":", "Mapping", "of", "application", "id", "to", "app", "name", "user", "and", "url", "endpoint", "for", "API", "call" ]
[ "\"\"\"\n Get executor metrics corresponding to a running application\n\n Args:\n apps (dict): Mapping of application id to app name, user,\n and url endpoint for API call\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "apps", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "apps", "type": null, "docstring": null, "docstring_tokens": [...
b8d392f84453059a12f9169b84807a433e7e3a3d
theletterf/collectd-spark
spark_plugin.py
[ "Apache-2.0" ]
Python
_validate_master
<not_specific>
def _validate_master(cls, master): """ validate form of master url provided from config file Args: master (str): String representing master URL Returns: bool: True if master URL contains host and port as expected and False otherwise """ hos...
validate form of master url provided from config file Args: master (str): String representing master URL Returns: bool: True if master URL contains host and port as expected and False otherwise
validate form of master url provided from config file Args: master (str): String representing master URL True if master URL contains host and port as expected and False otherwise
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def _validate_master(cls, master): host, port = master.rsplit(":", 1) if host and port: try: port = int(port) except (ValueError, TypeError): return False return _validate_url(host) else: return False
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validate form of master url provided from config file Args: master (str): String representing master URL
[ "validate", "form", "of", "master", "url", "provided", "from", "config", "file", "Args", ":", "master", "(", "str", ")", ":", "String", "representing", "master", "URL" ]
[ "\"\"\"\n validate form of master url provided from config file\n\n Args:\n master (str): String representing master URL\n\n Returns:\n bool: True if master URL contains host and port as expected\n and False otherwise\n \"\"\"" ]
[ { "param": "cls", "type": null }, { "param": "master", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "cls", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "master", "type": null, "docstring": null, "docstring_tokens": ...
2036f90182fc82d14a660ed3db371b059bee2b61
giantas/remoteref
accounts/views.py
[ "MIT" ]
Python
register_user
<not_specific>
def register_user(request): """Create UserRegistrationForm, return form else validate and create CustomUser instance.""" if request.user.is_authenticated(): return HttpResponseRedirect(reverse('home_page')) if request.method == 'POST': form = UserRegistrationForm(request.POST, host=request....
Create UserRegistrationForm, return form else validate and create CustomUser instance.
Create UserRegistrationForm, return form else validate and create CustomUser instance.
[ "Create", "UserRegistrationForm", "return", "form", "else", "validate", "and", "create", "CustomUser", "instance", "." ]
def register_user(request): if request.user.is_authenticated(): return HttpResponseRedirect(reverse('home_page')) if request.method == 'POST': form = UserRegistrationForm(request.POST, host=request.get_host()) if form.is_valid(): username = form.cleaned_data.get('username') ...
[ "def", "register_user", "(", "request", ")", ":", "if", "request", ".", "user", ".", "is_authenticated", "(", ")", ":", "return", "HttpResponseRedirect", "(", "reverse", "(", "'home_page'", ")", ")", "if", "request", ".", "method", "==", "'POST'", ":", "fo...
Create UserRegistrationForm, return form else validate and create CustomUser instance.
[ "Create", "UserRegistrationForm", "return", "form", "else", "validate", "and", "create", "CustomUser", "instance", "." ]
[ "\"\"\"Create UserRegistrationForm, return form else validate and create CustomUser instance.\"\"\"" ]
[ { "param": "request", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "request", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
2036f90182fc82d14a660ed3db371b059bee2b61
giantas/remoteref
accounts/views.py
[ "MIT" ]
Python
login_user
<not_specific>
def login_user(request): """Validate user credentials and log in else display error.""" next_page = request.GET.get('next') if next_page: next_page = next_page.strip() if request.user.is_authenticated(): return HttpResponseRedirect(reverse('home_page')) if request.method == 'POST':...
Validate user credentials and log in else display error.
Validate user credentials and log in else display error.
[ "Validate", "user", "credentials", "and", "log", "in", "else", "display", "error", "." ]
def login_user(request): next_page = request.GET.get('next') if next_page: next_page = next_page.strip() if request.user.is_authenticated(): return HttpResponseRedirect(reverse('home_page')) if request.method == 'POST': form = UserLoginForm(data=request.POST) if form.is_v...
[ "def", "login_user", "(", "request", ")", ":", "next_page", "=", "request", ".", "GET", ".", "get", "(", "'next'", ")", "if", "next_page", ":", "next_page", "=", "next_page", ".", "strip", "(", ")", "if", "request", ".", "user", ".", "is_authenticated", ...
Validate user credentials and log in else display error.
[ "Validate", "user", "credentials", "and", "log", "in", "else", "display", "error", "." ]
[ "\"\"\"Validate user credentials and log in else display error.\"\"\"" ]
[ { "param": "request", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "request", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
2036f90182fc82d14a660ed3db371b059bee2b61
giantas/remoteref
accounts/views.py
[ "MIT" ]
Python
logout_user
<not_specific>
def logout_user(request): """Log out the user, return redirect response.""" if request.user.is_authenticated(): logout(request) messages.success(request, 'You have been logged out successfully.') return HttpResponseRedirect(reverse('home_page'))
Log out the user, return redirect response.
Log out the user, return redirect response.
[ "Log", "out", "the", "user", "return", "redirect", "response", "." ]
def logout_user(request): if request.user.is_authenticated(): logout(request) messages.success(request, 'You have been logged out successfully.') return HttpResponseRedirect(reverse('home_page'))
[ "def", "logout_user", "(", "request", ")", ":", "if", "request", ".", "user", ".", "is_authenticated", "(", ")", ":", "logout", "(", "request", ")", "messages", ".", "success", "(", "request", ",", "'You have been logged out successfully.'", ")", "return", "Ht...
Log out the user, return redirect response.
[ "Log", "out", "the", "user", "return", "redirect", "response", "." ]
[ "\"\"\"Log out the user, return redirect response.\"\"\"" ]
[ { "param": "request", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "request", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
2036f90182fc82d14a660ed3db371b059bee2b61
giantas/remoteref
accounts/views.py
[ "MIT" ]
Python
activate_user
<not_specific>
def activate_user(request, uidb64, token): """Validate link and mark user as active else return error and redirect response.""" if uidb64 is not None and token is not None: uid = force_text(urlsafe_base64_decode(uidb64)) user = CustomUser.objects.get(pk=uid) if default_token_generator.ch...
Validate link and mark user as active else return error and redirect response.
Validate link and mark user as active else return error and redirect response.
[ "Validate", "link", "and", "mark", "user", "as", "active", "else", "return", "error", "and", "redirect", "response", "." ]
def activate_user(request, uidb64, token): if uidb64 is not None and token is not None: uid = force_text(urlsafe_base64_decode(uidb64)) user = CustomUser.objects.get(pk=uid) if default_token_generator.check_token(user, token) and not user.is_active: user.is_active = True ...
[ "def", "activate_user", "(", "request", ",", "uidb64", ",", "token", ")", ":", "if", "uidb64", "is", "not", "None", "and", "token", "is", "not", "None", ":", "uid", "=", "force_text", "(", "urlsafe_base64_decode", "(", "uidb64", ")", ")", "user", "=", ...
Validate link and mark user as active else return error and redirect response.
[ "Validate", "link", "and", "mark", "user", "as", "active", "else", "return", "error", "and", "redirect", "response", "." ]
[ "\"\"\"Validate link and mark user as active else return error and redirect response.\"\"\"" ]
[ { "param": "request", "type": null }, { "param": "uidb64", "type": null }, { "param": "token", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "request", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "uidb64", "type": null, "docstring": null, "docstring_token...
aad9d4f1aac5dcf1e36db7435add9070af4ca96e
giantas/remoteref
debtinfo/models.py
[ "MIT" ]
Python
add_debtor
null
def add_debtor(sender, **kwargs): """Create a Debtor instance for a created Profile instance.""" profile = kwargs['instance'] if kwargs['created']: try: debtor = Debtor.objects.get(debtor=profile.debtor) except Debtor.DoesNotExist: debtor = Debtor.objects.create( ...
Create a Debtor instance for a created Profile instance.
Create a Debtor instance for a created Profile instance.
[ "Create", "a", "Debtor", "instance", "for", "a", "created", "Profile", "instance", "." ]
def add_debtor(sender, **kwargs): profile = kwargs['instance'] if kwargs['created']: try: debtor = Debtor.objects.get(debtor=profile.debtor) except Debtor.DoesNotExist: debtor = Debtor.objects.create( debtor=profile.debtor, id_number=profile.id_number, cel...
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Create a Debtor instance for a created Profile instance.
[ "Create", "a", "Debtor", "instance", "for", "a", "created", "Profile", "instance", "." ]
[ "\"\"\"Create a Debtor instance for a created Profile instance.\"\"\"" ]
[ { "param": "sender", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "sender", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
4bdd498cb7972e6f0d25522da97781163c15ece3
giantas/remoteref
debtinfo/views.py
[ "MIT" ]
Python
post
<not_specific>
def post(self, request, *args, **kwargs): """Validate form data and save to database, return response else return form.""" self.object = None self.form = self.get_form(self.form_class) if self.form.is_valid(): obj = self.form.save(commit=False) self.object = obj....
Validate form data and save to database, return response else return form.
Validate form data and save to database, return response else return form.
[ "Validate", "form", "data", "and", "save", "to", "database", "return", "response", "else", "return", "form", "." ]
def post(self, request, *args, **kwargs): self.object = None self.form = self.get_form(self.form_class) if self.form.is_valid(): obj = self.form.save(commit=False) self.object = obj.save() messages.success(request, 'Query successful! ') return Http...
[ "def", "post", "(", "self", ",", "request", ",", "*", "args", ",", "**", "kwargs", ")", ":", "self", ".", "object", "=", "None", "self", ".", "form", "=", "self", ".", "get_form", "(", "self", ".", "form_class", ")", "if", "self", ".", "form", "....
Validate form data and save to database, return response else return form.
[ "Validate", "form", "data", "and", "save", "to", "database", "return", "response", "else", "return", "form", "." ]
[ "\"\"\"Validate form data and save to database, return response else return form.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "request", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "request", "type": null, "docstring": null, "docstring_tokens"...
4bdd498cb7972e6f0d25522da97781163c15ece3
giantas/remoteref
debtinfo/views.py
[ "MIT" ]
Python
download_table
<not_specific>
def download_table(request): """Create Debtors list xlsx file, return download response.""" debtors = Debtor.objects.all() wb = openpyxl.Workbook(write_only=True) debtors_sheet = 'Debtors' wb.create_sheet(debtors_sheet) sheet = wb.get_sheet_by_name(debtors_sheet) sheet.append(['First Name',...
Create Debtors list xlsx file, return download response.
Create Debtors list xlsx file, return download response.
[ "Create", "Debtors", "list", "xlsx", "file", "return", "download", "response", "." ]
def download_table(request): debtors = Debtor.objects.all() wb = openpyxl.Workbook(write_only=True) debtors_sheet = 'Debtors' wb.create_sheet(debtors_sheet) sheet = wb.get_sheet_by_name(debtors_sheet) sheet.append(['First Name', 'Last Name', 'ID', 'Contact']) for details in debtors: ...
[ "def", "download_table", "(", "request", ")", ":", "debtors", "=", "Debtor", ".", "objects", ".", "all", "(", ")", "wb", "=", "openpyxl", ".", "Workbook", "(", "write_only", "=", "True", ")", "debtors_sheet", "=", "'Debtors'", "wb", ".", "create_sheet", ...
Create Debtors list xlsx file, return download response.
[ "Create", "Debtors", "list", "xlsx", "file", "return", "download", "response", "." ]
[ "\"\"\"Create Debtors list xlsx file, return download response.\"\"\"" ]
[ { "param": "request", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "request", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
4bdd498cb7972e6f0d25522da97781163c15ece3
giantas/remoteref
debtinfo/views.py
[ "MIT" ]
Python
search_fields
<not_specific>
def search_fields(query_string, field_list, model): """Initialise database search of the query provided.""" entry_query = get_query(query_string, field_list) found_entries = model.objects.filter(entry_query) return found_entries
Initialise database search of the query provided.
Initialise database search of the query provided.
[ "Initialise", "database", "search", "of", "the", "query", "provided", "." ]
def search_fields(query_string, field_list, model): entry_query = get_query(query_string, field_list) found_entries = model.objects.filter(entry_query) return found_entries
[ "def", "search_fields", "(", "query_string", ",", "field_list", ",", "model", ")", ":", "entry_query", "=", "get_query", "(", "query_string", ",", "field_list", ")", "found_entries", "=", "model", ".", "objects", ".", "filter", "(", "entry_query", ")", "return...
Initialise database search of the query provided.
[ "Initialise", "database", "search", "of", "the", "query", "provided", "." ]
[ "\"\"\"Initialise database search of the query provided.\"\"\"" ]
[ { "param": "query_string", "type": null }, { "param": "field_list", "type": null }, { "param": "model", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "query_string", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "field_list", "type": null, "docstring": null, "docstr...
b512978e7018d8e4048268817f3dc0949e421ff6
giantas/remoteref
accounts/forms.py
[ "MIT" ]
Python
email_token
null
def email_token(self, user): """Generate activation email and to user else write to file.""" token = default_token_generator.make_token(user) uid = urlsafe_base64_encode(force_bytes(user.pk)) subject = 'Account Activation - Enstitute' text_content = 'You have registered for an ac...
Generate activation email and to user else write to file.
Generate activation email and to user else write to file.
[ "Generate", "activation", "email", "and", "to", "user", "else", "write", "to", "file", "." ]
def email_token(self, user): token = default_token_generator.make_token(user) uid = urlsafe_base64_encode(force_bytes(user.pk)) subject = 'Account Activation - Enstitute' text_content = 'You have registered for an account with Enstitute.' activation_link = 'http://{0}/accounts/us...
[ "def", "email_token", "(", "self", ",", "user", ")", ":", "token", "=", "default_token_generator", ".", "make_token", "(", "user", ")", "uid", "=", "urlsafe_base64_encode", "(", "force_bytes", "(", "user", ".", "pk", ")", ")", "subject", "=", "'Account Activ...
Generate activation email and to user else write to file.
[ "Generate", "activation", "email", "and", "to", "user", "else", "write", "to", "file", "." ]
[ "\"\"\"Generate activation email and to user else write to file.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "user", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "user", "type": null, "docstring": null, "docstring_tokens": [...
75fedcdcc2a48d98ec72d83d5b2788dcdf589fea
m-kuhn/sqlfluff
src/sqlfluff/core/rules/std.py
[ "MIT" ]
Python
_eval
<not_specific>
def _eval(self, segment, raw_stack, **kwargs): """Incorrect indentation found in file.""" tab = "\t" space = " " correct_indent = ( space * self.tab_space_size if self.indent_unit == "space" else tab ) wrong_indent = ( tab if self.indent_unit == "s...
Incorrect indentation found in file.
Incorrect indentation found in file.
[ "Incorrect", "indentation", "found", "in", "file", "." ]
def _eval(self, segment, raw_stack, **kwargs): tab = "\t" space = " " correct_indent = ( space * self.tab_space_size if self.indent_unit == "space" else tab ) wrong_indent = ( tab if self.indent_unit == "space" else space * self.tab_space_size ) ...
[ "def", "_eval", "(", "self", ",", "segment", ",", "raw_stack", ",", "**", "kwargs", ")", ":", "tab", "=", "\"\\t\"", "space", "=", "\" \"", "correct_indent", "=", "(", "space", "*", "self", ".", "tab_space_size", "if", "self", ".", "indent_unit", "==", ...
Incorrect indentation found in file.
[ "Incorrect", "indentation", "found", "in", "file", "." ]
[ "\"\"\"Incorrect indentation found in file.\"\"\"", "# Ensure that the number of space indents is a multiple of tab_space_size", "# before attempting to convert spaces to tabs to avoid mixed indents", "# unless we are converted tabs to spaces (indent_unit = space)", "# Only attempt a fix at the start of a n...
[ { "param": "self", "type": null }, { "param": "segment", "type": null }, { "param": "raw_stack", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "segment", "type": null, "docstring": null, "docstring_tokens"...
75fedcdcc2a48d98ec72d83d5b2788dcdf589fea
m-kuhn/sqlfluff
src/sqlfluff/core/rules/std.py
[ "MIT" ]
Python
_eval
<not_specific>
def _eval(self, segment, **kwargs): """Blank line expected but not found after CTE definition.""" error_buffer = [] if segment.is_type("with_compound_statement"): # First we need to find all the commas, the end brackets, the # things that come after that and the blank lin...
Blank line expected but not found after CTE definition.
Blank line expected but not found after CTE definition.
[ "Blank", "line", "expected", "but", "not", "found", "after", "CTE", "definition", "." ]
def _eval(self, segment, **kwargs): error_buffer = [] if segment.is_type("with_compound_statement"): bracket_indices = [] for idx, seg in enumerate(segment.segments): if seg.is_type("end_bracket"): bracket_indices.append(idx) for br...
[ "def", "_eval", "(", "self", ",", "segment", ",", "**", "kwargs", ")", ":", "error_buffer", "=", "[", "]", "if", "segment", ".", "is_type", "(", "\"with_compound_statement\"", ")", ":", "bracket_indices", "=", "[", "]", "for", "idx", ",", "seg", "in", ...
Blank line expected but not found after CTE definition.
[ "Blank", "line", "expected", "but", "not", "found", "after", "CTE", "definition", "." ]
[ "\"\"\"Blank line expected but not found after CTE definition.\"\"\"", "# First we need to find all the commas, the end brackets, the", "# things that come after that and the blank lines in between.", "# Find all the closing brackets. They are our anchor points.", "# Work through each point and deal with it...
[ { "param": "self", "type": null }, { "param": "segment", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "segment", "type": null, "docstring": null, "docstring_tokens"...
eb3f7fd734568c9e35d988d674e5a47a88c899cb
stefmolin/python-data-viz-workshop
notebooks/utils.py
[ "MIT" ]
Python
run_env_check
null
def run_env_check(): """Check that the packages we need are installed and the Python version is correct.""" # read in the environment file and process versions with open('../environment.yml', 'r') as file: env = yaml.safe_load(file) requirements = {} for req in env['dependencies']: ...
Check that the packages we need are installed and the Python version is correct.
Check that the packages we need are installed and the Python version is correct.
[ "Check", "that", "the", "packages", "we", "need", "are", "installed", "and", "the", "Python", "version", "is", "correct", "." ]
def run_env_check(): with open('../environment.yml', 'r') as file: env = yaml.safe_load(file) requirements = {} for req in env['dependencies']: pkg, version = req.split('=') if '-' in pkg: continue requirements[pkg.split('::')[-1]] = version print('Using Pytho...
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Check that the packages we need are installed and the Python version is correct.
[ "Check", "that", "the", "packages", "we", "need", "are", "installed", "and", "the", "Python", "version", "is", "correct", "." ]
[ "\"\"\"Check that the packages we need are installed and the Python version is correct.\"\"\"", "# read in the environment file and process versions", "# check the python version", "# check the requirements" ]
[]
{ "returns": [], "raises": [], "params": [], "outlier_params": [], "others": [] }
b404b396b84282068d0bb01eba273b6fad6f1563
nlevitt/cdxj-indexer
cdxj_indexer/postquery.py
[ "Apache-2.0" ]
Python
post_query_extract
<not_specific>
def post_query_extract(mime, length, stream): """ Extract a url-encoded form POST/PUT from stream content length, return None Attempt to decode application/x-www-form-urlencoded or multipart/*, otherwise read whole block and b64encode """ post_query = b'' try: length = int(lengt...
Extract a url-encoded form POST/PUT from stream content length, return None Attempt to decode application/x-www-form-urlencoded or multipart/*, otherwise read whole block and b64encode
Extract a url-encoded form POST/PUT from stream content length, return None Attempt to decode application/x-www-form-urlencoded or multipart, otherwise read whole block and b64encode
[ "Extract", "a", "url", "-", "encoded", "form", "POST", "/", "PUT", "from", "stream", "content", "length", "return", "None", "Attempt", "to", "decode", "application", "/", "x", "-", "www", "-", "form", "-", "urlencoded", "or", "multipart", "otherwise", "rea...
def post_query_extract(mime, length, stream): post_query = b'' try: length = int(length) except (ValueError, TypeError): return if length <= 0: return while length > 0: buff = stream.read(length) length -= len(buff) if not buff: break ...
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Extract a url-encoded form POST/PUT from stream content length, return None Attempt to decode application/x-www-form-urlencoded or multipart/*, otherwise read whole block and b64encode
[ "Extract", "a", "url", "-", "encoded", "form", "POST", "/", "PUT", "from", "stream", "content", "length", "return", "None", "Attempt", "to", "decode", "application", "/", "x", "-", "www", "-", "form", "-", "urlencoded", "or", "multipart", "/", "*", "othe...
[ "\"\"\"\n Extract a url-encoded form POST/PUT from stream\n content length, return None\n Attempt to decode application/x-www-form-urlencoded or multipart/*,\n otherwise read whole block and b64encode\n \"\"\"" ]
[ { "param": "mime", "type": null }, { "param": "length", "type": null }, { "param": "stream", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "mime", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "length", "type": null, "docstring": null, "docstring_tokens":...
f965d8750bab9b09820eb8bf193d753b6a16e50f
Kyle-Tran/Game-of-Life
project/main.py
[ "MIT" ]
Python
conway_game
null
def conway_game(colorList, random): """ Creates field for Conway's Game of Life """ #################### # Initialize field # #################### screen = pygame.display.set_mode((1280, 720), pygame.RESIZABLE) # screen = pygame.display.set_mode(size_monitor, pygame.RESIZABLE) scree...
Creates field for Conway's Game of Life
Creates field for Conway's Game of Life
[ "Creates", "field", "for", "Conway", "'", "s", "Game", "of", "Life" ]
def conway_game(colorList, random): screen = pygame.display.set_mode((1280, 720), pygame.RESIZABLE) screen.fill(black) conway.update(colorList[0], colorList[1], surface=screen) conway.transition() if random == "y" or random == "Y": conway.random_field() generation = 0 while True: ...
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Creates field for Conway's Game of Life
[ "Creates", "field", "for", "Conway", "'", "s", "Game", "of", "Life" ]
[ "\"\"\"\n Creates field for Conway's Game of Life\n \"\"\"", "####################", "# Initialize field #", "####################", "# screen = pygame.display.set_mode(size_monitor, pygame.RESIZABLE)", "#############", "# Game Loop #", "#############", "# Continually iterates through generati...
[ { "param": "colorList", "type": null }, { "param": "random", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "colorList", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "random", "type": null, "docstring": null, "docstring_tok...
f965d8750bab9b09820eb8bf193d753b6a16e50f
Kyle-Tran/Game-of-Life
project/main.py
[ "MIT" ]
Python
rps_game
null
def rps_game(colorList, random): """ Creates field for ternary/quinary multi-state world """ #################### # Initialize field # #################### screen = pygame.display.set_mode((1280, 720), pygame.RESIZABLE) # screen = pygame.display.set_mode(size_monitor, pygame.RESIZABLE) ...
Creates field for ternary/quinary multi-state world
Creates field for ternary/quinary multi-state world
[ "Creates", "field", "for", "ternary", "/", "quinary", "multi", "-", "state", "world" ]
def rps_game(colorList, random): screen = pygame.display.set_mode((1280, 720), pygame.RESIZABLE) screen.fill(black) rps.update(colorList[0], colorList[1], colorList[2], colorList[3], colorList[4], surface=screen) rps.transition() if random == "y" or random == "Y": rps.random_field() gene...
[ "def", "rps_game", "(", "colorList", ",", "random", ")", ":", "screen", "=", "pygame", ".", "display", ".", "set_mode", "(", "(", "1280", ",", "720", ")", ",", "pygame", ".", "RESIZABLE", ")", "screen", ".", "fill", "(", "black", ")", "rps", ".", "...
Creates field for ternary/quinary multi-state world
[ "Creates", "field", "for", "ternary", "/", "quinary", "multi", "-", "state", "world" ]
[ "\"\"\"\n Creates field for ternary/quinary multi-state world\n \"\"\"", "####################", "# Initialize field #", "####################", "# screen = pygame.display.set_mode(size_monitor, pygame.RESIZABLE)", "#############", "# Game Loop #", "#############", "# Continually iterates thro...
[ { "param": "colorList", "type": null }, { "param": "random", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "colorList", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "random", "type": null, "docstring": null, "docstring_tok...
f965d8750bab9b09820eb8bf193d753b6a16e50f
Kyle-Tran/Game-of-Life
project/main.py
[ "MIT" ]
Python
langtons_ant
null
def langtons_ant(): """ Creates field for Langton's ant """ #################### # Initialize field # #################### # screen = pygame.display.set_mode((1280, 720), pygame.RESIZABLE) screen = pygame.display.set_mode(size_monitor, pygame.RESIZABLE) screen.fill(black) langto...
Creates field for Langton's ant
Creates field for Langton's ant
[ "Creates", "field", "for", "Langton", "'", "s", "ant" ]
def langtons_ant(): screen = pygame.display.set_mode(size_monitor, pygame.RESIZABLE) screen.fill(black) langton.reset(screen) langton.transition(screen) generation = 0 while True: pygame.display.set_caption( "Langston's Ant - Generation " + str(generation)) keys = pyg...
[ "def", "langtons_ant", "(", ")", ":", "screen", "=", "pygame", ".", "display", ".", "set_mode", "(", "size_monitor", ",", "pygame", ".", "RESIZABLE", ")", "screen", ".", "fill", "(", "black", ")", "langton", ".", "reset", "(", "screen", ")", "langton", ...
Creates field for Langton's ant
[ "Creates", "field", "for", "Langton", "'", "s", "ant" ]
[ "\"\"\"\n Creates field for Langton's ant\n \"\"\"", "####################", "# Initialize field #", "####################", "# screen = pygame.display.set_mode((1280, 720), pygame.RESIZABLE)", "#############", "# Game Loop #", "#############", "# clock.tick(fps) # Comment out for fastest per...
[]
{ "returns": [], "raises": [], "params": [], "outlier_params": [], "others": [] }
7ead05d3f9b40123d5b838866a8a290b3a4e5104
Kyle-Tran/Game-of-Life
project/grid.py
[ "MIT" ]
Python
update
null
def update(self, dead, live, surface): """ Updates cells color correlating to dead or live """ for x in range(self.rows): for y in range(self.columns): x_pos, y_pos = x * self.scale, y * self.scale if self.curr_array[x][y] == 1: ...
Updates cells color correlating to dead or live
Updates cells color correlating to dead or live
[ "Updates", "cells", "color", "correlating", "to", "dead", "or", "live" ]
def update(self, dead, live, surface): for x in range(self.rows): for y in range(self.columns): x_pos, y_pos = x * self.scale, y * self.scale if self.curr_array[x][y] == 1: pygame.draw.rect(surface, live, [x_pos...
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Updates cells color correlating to dead or live
[ "Updates", "cells", "color", "correlating", "to", "dead", "or", "live" ]
[ "\"\"\"\n Updates cells color correlating to dead or live\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "dead", "type": null }, { "param": "live", "type": null }, { "param": "surface", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "dead", "type": null, "docstring": null, "docstring_tokens": [...
7ead05d3f9b40123d5b838866a8a290b3a4e5104
Kyle-Tran/Game-of-Life
project/grid.py
[ "MIT" ]
Python
click
null
def click(self, pos): """ Clicking on cell will change it's state from dead to live or vice versa """ x, y = int(pos[0] / self.scale), int(pos[1] / self.scale) if self.curr_array[x][y] == 1: self.curr_array[x][y] = 0 else: self.curr_array[x][y] = 1
Clicking on cell will change it's state from dead to live or vice versa
Clicking on cell will change it's state from dead to live or vice versa
[ "Clicking", "on", "cell", "will", "change", "it", "'", "s", "state", "from", "dead", "to", "live", "or", "vice", "versa" ]
def click(self, pos): x, y = int(pos[0] / self.scale), int(pos[1] / self.scale) if self.curr_array[x][y] == 1: self.curr_array[x][y] = 0 else: self.curr_array[x][y] = 1
[ "def", "click", "(", "self", ",", "pos", ")", ":", "x", ",", "y", "=", "int", "(", "pos", "[", "0", "]", "/", "self", ".", "scale", ")", ",", "int", "(", "pos", "[", "1", "]", "/", "self", ".", "scale", ")", "if", "self", ".", "curr_array",...
Clicking on cell will change it's state from dead to live or vice versa
[ "Clicking", "on", "cell", "will", "change", "it", "'", "s", "state", "from", "dead", "to", "live", "or", "vice", "versa" ]
[ "\"\"\"\n Clicking on cell will change it's state from dead to live or vice versa\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "pos", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "pos", "type": null, "docstring": null, "docstring_tokens": []...
7ead05d3f9b40123d5b838866a8a290b3a4e5104
Kyle-Tran/Game-of-Life
project/grid.py
[ "MIT" ]
Python
reset
null
def reset(self): """ Clears entire field to all dead cells """ for x in range(self.rows): for y in range(self.columns): self.curr_array[x][y] = 0
Clears entire field to all dead cells
Clears entire field to all dead cells
[ "Clears", "entire", "field", "to", "all", "dead", "cells" ]
def reset(self): for x in range(self.rows): for y in range(self.columns): self.curr_array[x][y] = 0
[ "def", "reset", "(", "self", ")", ":", "for", "x", "in", "range", "(", "self", ".", "rows", ")", ":", "for", "y", "in", "range", "(", "self", ".", "columns", ")", ":", "self", ".", "curr_array", "[", "x", "]", "[", "y", "]", "=", "0" ]
Clears entire field to all dead cells
[ "Clears", "entire", "field", "to", "all", "dead", "cells" ]
[ "\"\"\"\n Clears entire field to all dead cells\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
7ead05d3f9b40123d5b838866a8a290b3a4e5104
Kyle-Tran/Game-of-Life
project/grid.py
[ "MIT" ]
Python
click
null
def click(self, pos, choice): """ Clicking on cell will change it's state to choice of color currently pressed (1-5) Default is white """ x, y = int(pos[0] / self.scale), int(pos[1] / self.scale) self.curr_array[x][y] = choice
Clicking on cell will change it's state to choice of color currently pressed (1-5) Default is white
Clicking on cell will change it's state to choice of color currently pressed (1-5) Default is white
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def click(self, pos, choice): x, y = int(pos[0] / self.scale), int(pos[1] / self.scale) self.curr_array[x][y] = choice
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Clicking on cell will change it's state to choice of color currently pressed (1-5) Default is white
[ "Clicking", "on", "cell", "will", "change", "it", "'", "s", "state", "to", "choice", "of", "color", "currently", "pressed", "(", "1", "-", "5", ")", "Default", "is", "white" ]
[ "\"\"\"\n Clicking on cell will change it's state to choice of color currently pressed (1-5)\n Default is white\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "pos", "type": null }, { "param": "choice", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "pos", "type": null, "docstring": null, "docstring_tokens": []...
7ead05d3f9b40123d5b838866a8a290b3a4e5104
Kyle-Tran/Game-of-Life
project/grid.py
[ "MIT" ]
Python
transition
null
def transition(self, surface): """ Updates cells colors on field between each transition """ ant_xpos, ant_ypos = self.ant[0], self.ant[1] ant_xcoord, ant_ycoord = ant_xpos * self.scale, ant_ypos * self.scale if self.curr_array[ant_xpos][ant_ypos] == -1: # curr cell is ...
Updates cells colors on field between each transition
Updates cells colors on field between each transition
[ "Updates", "cells", "colors", "on", "field", "between", "each", "transition" ]
def transition(self, surface): ant_xpos, ant_ypos = self.ant[0], self.ant[1] ant_xcoord, ant_ycoord = ant_xpos * self.scale, ant_ypos * self.scale if self.curr_array[ant_xpos][ant_ypos] == -1: self.curr_array[ant_xpos][ant_ypos] = 0 self.rotate(self.rules[0]) ...
[ "def", "transition", "(", "self", ",", "surface", ")", ":", "ant_xpos", ",", "ant_ypos", "=", "self", ".", "ant", "[", "0", "]", ",", "self", ".", "ant", "[", "1", "]", "ant_xcoord", ",", "ant_ycoord", "=", "ant_xpos", "*", "self", ".", "scale", ",...
Updates cells colors on field between each transition
[ "Updates", "cells", "colors", "on", "field", "between", "each", "transition" ]
[ "\"\"\"\n Updates cells colors on field between each transition\n \"\"\"", "# curr cell is white (default)", "# change cell to first color", "# rotate direction based on first rule", "# Update color of cell ant is currently on", "# Move ant forward in current direction", "# Draw ant on tha...
[ { "param": "self", "type": null }, { "param": "surface", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "surface", "type": null, "docstring": null, "docstring_tokens"...
7ead05d3f9b40123d5b838866a8a290b3a4e5104
Kyle-Tran/Game-of-Life
project/grid.py
[ "MIT" ]
Python
move
null
def move(self): """ Changes ant's current location to cell 1 away in it's current direction """ x, y = self.ant[0], self.ant[1] # Stitches field for when ant is at edge addx, addy = (x + 1) % self.rows, (y+1) % self.columns minusx, minusy = (x - 1) % self.rows, (y...
Changes ant's current location to cell 1 away in it's current direction
Changes ant's current location to cell 1 away in it's current direction
[ "Changes", "ant", "'", "s", "current", "location", "to", "cell", "1", "away", "in", "it", "'", "s", "current", "direction" ]
def move(self): x, y = self.ant[0], self.ant[1] addx, addy = (x + 1) % self.rows, (y+1) % self.columns minusx, minusy = (x - 1) % self.rows, (y - 1) % self.columns if self.direction == "N": self.ant = (x, minusy) elif self.direction == "E": self.ant = (add...
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Changes ant's current location to cell 1 away in it's current direction
[ "Changes", "ant", "'", "s", "current", "location", "to", "cell", "1", "away", "in", "it", "'", "s", "current", "direction" ]
[ "\"\"\"\n Changes ant's current location to cell 1 away in it's current direction\n \"\"\"", "# Stitches field for when ant is at edge" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
7ead05d3f9b40123d5b838866a8a290b3a4e5104
Kyle-Tran/Game-of-Life
project/grid.py
[ "MIT" ]
Python
rotate
null
def rotate(self, rule): """ Changes current direction based on rule """ if rule == "R": if self.direction == "N": self.direction = "E" elif self.direction == "E": self.direction = "S" elif self.direction == "S": ...
Changes current direction based on rule
Changes current direction based on rule
[ "Changes", "current", "direction", "based", "on", "rule" ]
def rotate(self, rule): if rule == "R": if self.direction == "N": self.direction = "E" elif self.direction == "E": self.direction = "S" elif self.direction == "S": self.direction = "W" elif self.direction == "W": ...
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Changes current direction based on rule
[ "Changes", "current", "direction", "based", "on", "rule" ]
[ "\"\"\"\n Changes current direction based on rule\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "rule", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "rule", "type": null, "docstring": null, "docstring_tokens": [...
7ead05d3f9b40123d5b838866a8a290b3a4e5104
Kyle-Tran/Game-of-Life
project/grid.py
[ "MIT" ]
Python
click
null
def click(self, pos, direction, surface): """ Clicking on cell spawns ant in specified direction """ x, y = int(pos[0] / self.scale), int(pos[1] / self.scale) prev_x, prev_y = self.ant[0] * self.scale, self.ant[1] * self.scale new_x, new_y = x * self.scale, y * self.scale...
Clicking on cell spawns ant in specified direction
Clicking on cell spawns ant in specified direction
[ "Clicking", "on", "cell", "spawns", "ant", "in", "specified", "direction" ]
def click(self, pos, direction, surface): x, y = int(pos[0] / self.scale), int(pos[1] / self.scale) prev_x, prev_y = self.ant[0] * self.scale, self.ant[1] * self.scale new_x, new_y = x * self.scale, y * self.scale if self.ant != (-1, -1): self.curr_array[self.ant[0], self.a...
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Clicking on cell spawns ant in specified direction
[ "Clicking", "on", "cell", "spawns", "ant", "in", "specified", "direction" ]
[ "\"\"\"\n Clicking on cell spawns ant in specified direction\n \"\"\"", "# There is an ant on the field currently", "# make sure previous cell where ant was can still update later", "# by making that cell empty (white)", "# On clicking, deletes previous ant", "# Creates new ant in specified ...
[ { "param": "self", "type": null }, { "param": "pos", "type": null }, { "param": "direction", "type": null }, { "param": "surface", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "pos", "type": null, "docstring": null, "docstring_tokens": []...
7ead05d3f9b40123d5b838866a8a290b3a4e5104
Kyle-Tran/Game-of-Life
project/grid.py
[ "MIT" ]
Python
reset
null
def reset(self, surface): """ Clears entire field to all dead cells """ for x in range(self.rows): for y in range(self.columns): x_pos, y_pos = x * self.scale, y * self.scale self.curr_array[x][y] = -1 # initial field array to all empty (-1) ...
Clears entire field to all dead cells
Clears entire field to all dead cells
[ "Clears", "entire", "field", "to", "all", "dead", "cells" ]
def reset(self, surface): for x in range(self.rows): for y in range(self.columns): x_pos, y_pos = x * self.scale, y * self.scale self.curr_array[x][y] = -1 pygame.draw.rect(surface, (255, 255, 255), [x_pos, y_pos, sel...
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Clears entire field to all dead cells
[ "Clears", "entire", "field", "to", "all", "dead", "cells" ]
[ "\"\"\"\n Clears entire field to all dead cells\n \"\"\"", "# initial field array to all empty (-1)" ]
[ { "param": "self", "type": null }, { "param": "surface", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "surface", "type": null, "docstring": null, "docstring_tokens"...
340edf12856b6d5bd37c0efe3a8dc56df31b0b0d
tanayz/Kaggle
Search_result/srr3.py
[ "Apache-2.0" ]
Python
confusion_matrix
<not_specific>
def confusion_matrix(rater_a, rater_b, min_rating=None, max_rating=None): """ Returns the confusion matrix between rater's ratings """ assert(len(rater_a) == len(rater_b)) if min_rating is None: min_rating = min(rater_a + rater_b) if max_rating is None: max_rating = max(rater_a +...
Returns the confusion matrix between rater's ratings
Returns the confusion matrix between rater's ratings
[ "Returns", "the", "confusion", "matrix", "between", "rater", "'", "s", "ratings" ]
def confusion_matrix(rater_a, rater_b, min_rating=None, max_rating=None): assert(len(rater_a) == len(rater_b)) if min_rating is None: min_rating = min(rater_a + rater_b) if max_rating is None: max_rating = max(rater_a + rater_b) num_ratings = int(max_rating - min_rating + 1) conf_mat...
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Returns the confusion matrix between rater's ratings
[ "Returns", "the", "confusion", "matrix", "between", "rater", "'", "s", "ratings" ]
[ "\"\"\"\n Returns the confusion matrix between rater's ratings\n \"\"\"" ]
[ { "param": "rater_a", "type": null }, { "param": "rater_b", "type": null }, { "param": "min_rating", "type": null }, { "param": "max_rating", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "rater_a", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "rater_b", "type": null, "docstring": null, "docstring_toke...
340edf12856b6d5bd37c0efe3a8dc56df31b0b0d
tanayz/Kaggle
Search_result/srr3.py
[ "Apache-2.0" ]
Python
histogram
<not_specific>
def histogram(ratings, min_rating=None, max_rating=None): """ Returns the counts of each type of rating that a rater made """ if min_rating is None: min_rating = min(ratings) if max_rating is None: max_rating = max(ratings) num_ratings = int(max_rating - min_rating + 1) hist_...
Returns the counts of each type of rating that a rater made
Returns the counts of each type of rating that a rater made
[ "Returns", "the", "counts", "of", "each", "type", "of", "rating", "that", "a", "rater", "made" ]
def histogram(ratings, min_rating=None, max_rating=None): if min_rating is None: min_rating = min(ratings) if max_rating is None: max_rating = max(ratings) num_ratings = int(max_rating - min_rating + 1) hist_ratings = [0 for x in range(num_ratings)] for r in ratings: hist_rat...
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Returns the counts of each type of rating that a rater made
[ "Returns", "the", "counts", "of", "each", "type", "of", "rating", "that", "a", "rater", "made" ]
[ "\"\"\"\n Returns the counts of each type of rating that a rater made\n \"\"\"" ]
[ { "param": "ratings", "type": null }, { "param": "min_rating", "type": null }, { "param": "max_rating", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "ratings", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "min_rating", "type": null, "docstring": null, "docstring_t...
340edf12856b6d5bd37c0efe3a8dc56df31b0b0d
tanayz/Kaggle
Search_result/srr3.py
[ "Apache-2.0" ]
Python
quadratic_weighted_kappa
<not_specific>
def quadratic_weighted_kappa(y, y_pred): """ Calculates the quadratic weighted kappa axquadratic_weighted_kappa calculates the quadratic weighted kappa value, which is a measure of inter-rater agreement between two raters that provide discrete numeric ratings. Potential values range from -1 (re...
Calculates the quadratic weighted kappa axquadratic_weighted_kappa calculates the quadratic weighted kappa value, which is a measure of inter-rater agreement between two raters that provide discrete numeric ratings. Potential values range from -1 (representing complete disagreement) to 1 (represen...
Calculates the quadratic weighted kappa axquadratic_weighted_kappa calculates the quadratic weighted kappa value, which is a measure of inter-rater agreement between two raters that provide discrete numeric ratings. Potential values range from -1 (representing complete disagreement) to 1 (representing complete agreeme...
[ "Calculates", "the", "quadratic", "weighted", "kappa", "axquadratic_weighted_kappa", "calculates", "the", "quadratic", "weighted", "kappa", "value", "which", "is", "a", "measure", "of", "inter", "-", "rater", "agreement", "between", "two", "raters", "that", "provide...
def quadratic_weighted_kappa(y, y_pred): rater_a = y rater_b = y_pred min_rating=None max_rating=None rater_a = np.array(rater_a, dtype=int) rater_b = np.array(rater_b, dtype=int) assert(len(rater_a) == len(rater_b)) if min_rating is None: min_rating = min(min(rater_a), min(rater...
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Calculates the quadratic weighted kappa axquadratic_weighted_kappa calculates the quadratic weighted kappa value, which is a measure of inter-rater agreement between two raters that provide discrete numeric ratings.
[ "Calculates", "the", "quadratic", "weighted", "kappa", "axquadratic_weighted_kappa", "calculates", "the", "quadratic", "weighted", "kappa", "value", "which", "is", "a", "measure", "of", "inter", "-", "rater", "agreement", "between", "two", "raters", "that", "provide...
[ "\"\"\"\n Calculates the quadratic weighted kappa\n axquadratic_weighted_kappa calculates the quadratic weighted kappa\n value, which is a measure of inter-rater agreement between two raters\n that provide discrete numeric ratings. Potential values range from -1\n (representing complete disagreement...
[ { "param": "y", "type": null }, { "param": "y_pred", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "y", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "y_pred", "type": null, "docstring": null, "docstring_tokens": []...
863c10766382759f8d32de8b5fa83e85c697b32b
tanayz/Kaggle
HB_ML_Challenge/test_xgboost.py
[ "Apache-2.0" ]
Python
AMS
<not_specific>
def AMS(s, b): ''' Approximate median significance: s = true positive rate b = false positive rate ''' assert s >= 0 assert b >= 0 bReg = 10. return np.sqrt(2.0 * ((s + b + bReg) * np.log(1 + s / (b + bReg)) - s))
Approximate median significance: s = true positive rate b = false positive rate
Approximate median significance: s = true positive rate b = false positive rate
[ "Approximate", "median", "significance", ":", "s", "=", "true", "positive", "rate", "b", "=", "false", "positive", "rate" ]
def AMS(s, b): assert s >= 0 assert b >= 0 bReg = 10. return np.sqrt(2.0 * ((s + b + bReg) * np.log(1 + s / (b + bReg)) - s))
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Approximate median significance: s = true positive rate b = false positive rate
[ "Approximate", "median", "significance", ":", "s", "=", "true", "positive", "rate", "b", "=", "false", "positive", "rate" ]
[ "'''\n Approximate median significance:\n s = true positive rate\n b = false positive rate\n '''" ]
[ { "param": "s", "type": null }, { "param": "b", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "s", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "b", "type": null, "docstring": null, "docstring_tokens": [], ...
8d9b3417674f0e53d5809a6e1d47fbcec1359e50
tanayz/Kaggle
SAM/model.py
[ "Apache-2.0" ]
Python
print_GridCV_scores
null
def print_GridCV_scores(gs_clf, export_file): '''Exports a CSV of the GridCV scores. gs_clf: A GridSearchCV object which has been fitted export_file: A file path Example output (file content): mean,std,feat__words__ngram_range,feat__words__stop_words,clf__alpha 0.56805074971164937,0.0082019735998974941,"(1, 2)"...
Exports a CSV of the GridCV scores. gs_clf: A GridSearchCV object which has been fitted export_file: A file path Example output (file content): mean,std,feat__words__ngram_range,feat__words__stop_words,clf__alpha 0.56805074971164937,0.0082019735998974941,"(1, 2)",english,0.0001 0.57189542483660127,0.00663847238...
Exports a CSV of the GridCV scores. gs_clf: A GridSearchCV object which has been fitted export_file: A file path
[ "Exports", "a", "CSV", "of", "the", "GridCV", "scores", ".", "gs_clf", ":", "A", "GridSearchCV", "object", "which", "has", "been", "fitted", "export_file", ":", "A", "file", "path" ]
def print_GridCV_scores(gs_clf, export_file): with open(export_file, 'w') as outfile: csvwriter = csv.writer(outfile, delimiter=',') header = ["mean","std"] param_names = [param for param in gs_clf.param_grid] header.extend(param_names) csvwriter.writerow(header) for config in gs_clf.grid_scores_: mean ...
[ "def", "print_GridCV_scores", "(", "gs_clf", ",", "export_file", ")", ":", "with", "open", "(", "export_file", ",", "'w'", ")", "as", "outfile", ":", "csvwriter", "=", "csv", ".", "writer", "(", "outfile", ",", "delimiter", "=", "','", ")", "header", "="...
Exports a CSV of the GridCV scores.
[ "Exports", "a", "CSV", "of", "the", "GridCV", "scores", "." ]
[ "'''Exports a CSV of the GridCV scores.\n\n\tgs_clf: A GridSearchCV object which has been fitted\n\texport_file: A file path\n\n\tExample output (file content):\n\tmean,std,feat__words__ngram_range,feat__words__stop_words,clf__alpha\n\t0.56805074971164937,0.0082019735998974941,\"(1, 2)\",english,0.0001\n\t0.5718954...
[ { "param": "gs_clf", "type": null }, { "param": "export_file", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "gs_clf", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "export_file", "type": null, "docstring": null, "docstring_t...
4e17dafcfcb857d9164a0d21cf8b3a0f6ac2f5b5
tanayz/Kaggle
HB_ML_Challenge/xgboostR/wrapper/xgboost.py
[ "Apache-2.0" ]
Python
update
null
def update(self, dtrain, it): """ update dtrain: the training DMatrix it: current iteration number """ assert isinstance(dtrain, DMatrix) xglib.XGBoosterUpdateOneIter(self.handle, it, dtrain.handle)
update dtrain: the training DMatrix it: current iteration number
update dtrain: the training DMatrix it: current iteration number
[ "update", "dtrain", ":", "the", "training", "DMatrix", "it", ":", "current", "iteration", "number" ]
def update(self, dtrain, it): assert isinstance(dtrain, DMatrix) xglib.XGBoosterUpdateOneIter(self.handle, it, dtrain.handle)
[ "def", "update", "(", "self", ",", "dtrain", ",", "it", ")", ":", "assert", "isinstance", "(", "dtrain", ",", "DMatrix", ")", "xglib", ".", "XGBoosterUpdateOneIter", "(", "self", ".", "handle", ",", "it", ",", "dtrain", ".", "handle", ")" ]
update dtrain: the training DMatrix it: current iteration number
[ "update", "dtrain", ":", "the", "training", "DMatrix", "it", ":", "current", "iteration", "number" ]
[ "\"\"\"\n update\n dtrain: the training DMatrix\n it: current iteration number\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "dtrain", "type": null }, { "param": "it", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "dtrain", "type": null, "docstring": null, "docstring_tokens":...
4e17dafcfcb857d9164a0d21cf8b3a0f6ac2f5b5
tanayz/Kaggle
HB_ML_Challenge/xgboostR/wrapper/xgboost.py
[ "Apache-2.0" ]
Python
predict
<not_specific>
def predict(self, data, output_margin=False): """ predict with data data: the dmatrix storing the input output_margin: whether output raw margin value that is untransformed """ length = ctypes.c_ulong() preds = xglib.XGBoosterPredict(self.handle, data.hand...
predict with data data: the dmatrix storing the input output_margin: whether output raw margin value that is untransformed
predict with data data: the dmatrix storing the input output_margin: whether output raw margin value that is untransformed
[ "predict", "with", "data", "data", ":", "the", "dmatrix", "storing", "the", "input", "output_margin", ":", "whether", "output", "raw", "margin", "value", "that", "is", "untransformed" ]
def predict(self, data, output_margin=False): length = ctypes.c_ulong() preds = xglib.XGBoosterPredict(self.handle, data.handle, int(output_margin), ctypes.byref(length)) return ctypes2numpy(preds, length.value, 'float32')
[ "def", "predict", "(", "self", ",", "data", ",", "output_margin", "=", "False", ")", ":", "length", "=", "ctypes", ".", "c_ulong", "(", ")", "preds", "=", "xglib", ".", "XGBoosterPredict", "(", "self", ".", "handle", ",", "data", ".", "handle", ",", ...
predict with data data: the dmatrix storing the input output_margin: whether output raw margin value that is untransformed
[ "predict", "with", "data", "data", ":", "the", "dmatrix", "storing", "the", "input", "output_margin", ":", "whether", "output", "raw", "margin", "value", "that", "is", "untransformed" ]
[ "\"\"\"\n predict with data\n data: the dmatrix storing the input\n output_margin: whether output raw margin value that is untransformed\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "data", "type": null }, { "param": "output_margin", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "data", "type": null, "docstring": null, "docstring_tokens": [...
4e17dafcfcb857d9164a0d21cf8b3a0f6ac2f5b5
tanayz/Kaggle
HB_ML_Challenge/xgboostR/wrapper/xgboost.py
[ "Apache-2.0" ]
Python
train
<not_specific>
def train(params, dtrain, num_boost_round = 10, evals = [], obj=None, feval=None): """ train a booster with given paramaters """ bst = Booster(params, [dtrain]+[ d[0] for d in evals ] ) if obj == None: for i in range(num_boost_round): bst.update( dtrain, i ) if len(evals) != ...
train a booster with given paramaters
train a booster with given paramaters
[ "train", "a", "booster", "with", "given", "paramaters" ]
def train(params, dtrain, num_boost_round = 10, evals = [], obj=None, feval=None): bst = Booster(params, [dtrain]+[ d[0] for d in evals ] ) if obj == None: for i in range(num_boost_round): bst.update( dtrain, i ) if len(evals) != 0: sys.stderr.write(evaluate(bst, ...
[ "def", "train", "(", "params", ",", "dtrain", ",", "num_boost_round", "=", "10", ",", "evals", "=", "[", "]", ",", "obj", "=", "None", ",", "feval", "=", "None", ")", ":", "bst", "=", "Booster", "(", "params", ",", "[", "dtrain", "]", "+", "[", ...
train a booster with given paramaters
[ "train", "a", "booster", "with", "given", "paramaters" ]
[ "\"\"\" train a booster with given paramaters \"\"\"", "# try customized objective function" ]
[ { "param": "params", "type": null }, { "param": "dtrain", "type": null }, { "param": "num_boost_round", "type": null }, { "param": "evals", "type": null }, { "param": "obj", "type": null }, { "param": "feval", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "params", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "dtrain", "type": null, "docstring": null, "docstring_tokens...
32a599c86dd7359a9e354303582e8fb7e22c27f5
tanayz/Kaggle
Search_result/autocrct.py
[ "Apache-2.0" ]
Python
autocorrect_query
<not_specific>
def autocorrect_query(query,train=None,test=None,cutoff=0.8,warning_on=True): """ autocorrect a query based on the training set """ if train is None: train = pd.read_csv('../input/train.csv').fillna('') if test is None: test = pd.read_csv('../input/test.csv').fillna('') train_data = train.values[train['query...
autocorrect a query based on the training set
autocorrect a query based on the training set
[ "autocorrect", "a", "query", "based", "on", "the", "training", "set" ]
def autocorrect_query(query,train=None,test=None,cutoff=0.8,warning_on=True): if train is None: train = pd.read_csv('../input/train.csv').fillna('') if test is None: test = pd.read_csv('../input/test.csv').fillna('') train_data = train.values[train['query'].values==query,:] test_data = test.values[test['query']...
[ "def", "autocorrect_query", "(", "query", ",", "train", "=", "None", ",", "test", "=", "None", ",", "cutoff", "=", "0.8", ",", "warning_on", "=", "True", ")", ":", "if", "train", "is", "None", ":", "train", "=", "pd", ".", "read_csv", "(", "'../input...
autocorrect a query based on the training set
[ "autocorrect", "a", "query", "based", "on", "the", "training", "set" ]
[ "\"\"\"\n\tautocorrect a query based on the training set\n\t\"\"\"" ]
[ { "param": "query", "type": null }, { "param": "train", "type": null }, { "param": "test", "type": null }, { "param": "cutoff", "type": null }, { "param": "warning_on", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "query", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "train", "type": null, "docstring": null, "docstring_tokens":...
6d877d2ab315221a0b73422bf521da6205df28fe
OssianEriksson/autonomous-twizy
twizy_description/src/twizy_description/robot_description.py
[ "Apache-2.0" ]
Python
shear_matrix
<not_specific>
def shear_matrix(striu): """Convert a 3x3 matrix representation of shear to a 4x4 representation :striu: A 3x3 shear matrix :return: A 4x4 shear matrix """ S = np.identity(4) S[:3, :3] = striu2mat(striu) return S
Convert a 3x3 matrix representation of shear to a 4x4 representation :striu: A 3x3 shear matrix :return: A 4x4 shear matrix
Convert a 3x3 matrix representation of shear to a 4x4 representation
[ "Convert", "a", "3x3", "matrix", "representation", "of", "shear", "to", "a", "4x4", "representation" ]
def shear_matrix(striu): S = np.identity(4) S[:3, :3] = striu2mat(striu) return S
[ "def", "shear_matrix", "(", "striu", ")", ":", "S", "=", "np", ".", "identity", "(", "4", ")", "S", "[", ":", "3", ",", ":", "3", "]", "=", "striu2mat", "(", "striu", ")", "return", "S" ]
Convert a 3x3 matrix representation of shear to a 4x4 representation
[ "Convert", "a", "3x3", "matrix", "representation", "of", "shear", "to", "a", "4x4", "representation" ]
[ "\"\"\"Convert a 3x3 matrix representation of shear to a 4x4 representation\n\n :striu: A 3x3 shear matrix\n\n :return: A 4x4 shear matrix\n \"\"\"" ]
[ { "param": "striu", "type": null } ]
{ "returns": [ { "docstring": "A 4x4 shear matrix", "docstring_tokens": [ "A", "4x4", "shear", "matrix" ], "type": null } ], "raises": [], "params": [ { "identifier": "striu", "type": null, "docstring": null, "docstring_...
6d877d2ab315221a0b73422bf521da6205df28fe
OssianEriksson/autonomous-twizy
twizy_description/src/twizy_description/robot_description.py
[ "Apache-2.0" ]
Python
xyz_rpy
<not_specific>
def xyz_rpy(transformation): """Decompose a transformation matrix into translation and euler angles :param transformation: A 4x4 transformation matrix :return: A tuple of (x, y, z, r, p, y) where (x, y, z) are coordinates of a cartesian translation and (r, p, y) are roll, pitch, yaw applied in ...
Decompose a transformation matrix into translation and euler angles :param transformation: A 4x4 transformation matrix :return: A tuple of (x, y, z, r, p, y) where (x, y, z) are coordinates of a cartesian translation and (r, p, y) are roll, pitch, yaw applied in that order around fixed axis ...
Decompose a transformation matrix into translation and euler angles
[ "Decompose", "a", "transformation", "matrix", "into", "translation", "and", "euler", "angles" ]
def xyz_rpy(transformation): T, R, _, _ = decompose44(transformation) return (T[0], T[1], T[2]), mat2euler(R)
[ "def", "xyz_rpy", "(", "transformation", ")", ":", "T", ",", "R", ",", "_", ",", "_", "=", "decompose44", "(", "transformation", ")", "return", "(", "T", "[", "0", "]", ",", "T", "[", "1", "]", ",", "T", "[", "2", "]", ")", ",", "mat2euler", ...
Decompose a transformation matrix into translation and euler angles
[ "Decompose", "a", "transformation", "matrix", "into", "translation", "and", "euler", "angles" ]
[ "\"\"\"Decompose a transformation matrix into translation and euler angles\n\n :param transformation: A 4x4 transformation matrix\n\n :return: A tuple of (x, y, z, r, p, y) where (x, y, z) are coordinates of a\n cartesian translation and (r, p, y) are roll, pitch, yaw applied in\n that order aro...
[ { "param": "transformation", "type": null } ]
{ "returns": [ { "docstring": "A tuple of (x, y, z, r, p, y) where (x, y, z) are coordinates of a\ncartesian translation and (r, p, y) are roll, pitch, yaw applied in\nthat order around fixed axis", "docstring_tokens": [ "A", "tuple", "of", "(", "x", "y"...
6d877d2ab315221a0b73422bf521da6205df28fe
OssianEriksson/autonomous-twizy
twizy_description/src/twizy_description/robot_description.py
[ "Apache-2.0" ]
Python
connect_joint
null
def connect_joint(self, joint): """Connect a joint (as a child) to this link""" joint.parent = self self.children.append(joint)
Connect a joint (as a child) to this link
Connect a joint (as a child) to this link
[ "Connect", "a", "joint", "(", "as", "a", "child", ")", "to", "this", "link" ]
def connect_joint(self, joint): joint.parent = self self.children.append(joint)
[ "def", "connect_joint", "(", "self", ",", "joint", ")", ":", "joint", ".", "parent", "=", "self", "self", ".", "children", ".", "append", "(", "joint", ")" ]
Connect a joint (as a child) to this link
[ "Connect", "a", "joint", "(", "as", "a", "child", ")", "to", "this", "link" ]
[ "\"\"\"Connect a joint (as a child) to this link\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "joint", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "joint", "type": null, "docstring": null, "docstring_tokens": ...
6d877d2ab315221a0b73422bf521da6205df28fe
OssianEriksson/autonomous-twizy
twizy_description/src/twizy_description/robot_description.py
[ "Apache-2.0" ]
Python
connect_link
null
def connect_link(self, link, trans): """Connect a link (as a child) to this link""" # Create a new joint to sit between this link and the provided link joint = _URDFJoint('fixed', trans) self.connect_joint(joint) joint.connect_link(link)
Connect a link (as a child) to this link
Connect a link (as a child) to this link
[ "Connect", "a", "link", "(", "as", "a", "child", ")", "to", "this", "link" ]
def connect_link(self, link, trans): joint = _URDFJoint('fixed', trans) self.connect_joint(joint) joint.connect_link(link)
[ "def", "connect_link", "(", "self", ",", "link", ",", "trans", ")", ":", "joint", "=", "_URDFJoint", "(", "'fixed'", ",", "trans", ")", "self", ".", "connect_joint", "(", "joint", ")", "joint", ".", "connect_link", "(", "link", ")" ]
Connect a link (as a child) to this link
[ "Connect", "a", "link", "(", "as", "a", "child", ")", "to", "this", "link" ]
[ "\"\"\"Connect a link (as a child) to this link\"\"\"", "# Create a new joint to sit between this link and the provided link" ]
[ { "param": "self", "type": null }, { "param": "link", "type": null }, { "param": "trans", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "link", "type": null, "docstring": null, "docstring_tokens": [...
6d877d2ab315221a0b73422bf521da6205df28fe
OssianEriksson/autonomous-twizy
twizy_description/src/twizy_description/robot_description.py
[ "Apache-2.0" ]
Python
xml
null
def xml(self, doc, robot): """Represent this link and all its children as xml""" link = doc.createElement('link') link.setAttribute('name', self.name) if len(self.visuals) > 0: for visual in self.visuals: visual.xml(doc, link) robot.appendChild(link...
Represent this link and all its children as xml
Represent this link and all its children as xml
[ "Represent", "this", "link", "and", "all", "its", "children", "as", "xml" ]
def xml(self, doc, robot): link = doc.createElement('link') link.setAttribute('name', self.name) if len(self.visuals) > 0: for visual in self.visuals: visual.xml(doc, link) robot.appendChild(link) for child in self.children: child.xml(doc, ...
[ "def", "xml", "(", "self", ",", "doc", ",", "robot", ")", ":", "link", "=", "doc", ".", "createElement", "(", "'link'", ")", "link", ".", "setAttribute", "(", "'name'", ",", "self", ".", "name", ")", "if", "len", "(", "self", ".", "visuals", ")", ...
Represent this link and all its children as xml
[ "Represent", "this", "link", "and", "all", "its", "children", "as", "xml" ]
[ "\"\"\"Represent this link and all its children as xml\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "doc", "type": null }, { "param": "robot", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "doc", "type": null, "docstring": null, "docstring_tokens": []...
6d877d2ab315221a0b73422bf521da6205df28fe
OssianEriksson/autonomous-twizy
twizy_description/src/twizy_description/robot_description.py
[ "Apache-2.0" ]
Python
connect_joint
null
def connect_joint(self, joint): """Connect a joint (as a child) to this joint""" # Create a new link to sit between this joint and the provided joint link = _URDFLink() self.connect_link(link) link.connect_joint(joint)
Connect a joint (as a child) to this joint
Connect a joint (as a child) to this joint
[ "Connect", "a", "joint", "(", "as", "a", "child", ")", "to", "this", "joint" ]
def connect_joint(self, joint): link = _URDFLink() self.connect_link(link) link.connect_joint(joint)
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Connect a joint (as a child) to this joint
[ "Connect", "a", "joint", "(", "as", "a", "child", ")", "to", "this", "joint" ]
[ "\"\"\"Connect a joint (as a child) to this joint\"\"\"", "# Create a new link to sit between this joint and the provided joint" ]
[ { "param": "self", "type": null }, { "param": "joint", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "joint", "type": null, "docstring": null, "docstring_tokens": ...
6d877d2ab315221a0b73422bf521da6205df28fe
OssianEriksson/autonomous-twizy
twizy_description/src/twizy_description/robot_description.py
[ "Apache-2.0" ]
Python
connect_link
null
def connect_link(self, link, trans=np.identity(4)): """Connect a link (as a child) to this joint""" self.name = f'{link.name}_joint' # If the relative position/rotation of the provided link is zero we can # connect the link directly to this joint, otherwise we need another # li...
Connect a link (as a child) to this joint
Connect a link (as a child) to this joint
[ "Connect", "a", "link", "(", "as", "a", "child", ")", "to", "this", "joint" ]
def connect_link(self, link, trans=np.identity(4)): self.name = f'{link.name}_joint' if np.allclose(xyz_rpy(trans), 0): self.child = link else: joint_link = _URDFLink(f'{self.name}_link') joint_link.connect_link(link, trans) self.child = joint_link
[ "def", "connect_link", "(", "self", ",", "link", ",", "trans", "=", "np", ".", "identity", "(", "4", ")", ")", ":", "self", ".", "name", "=", "f'{link.name}_joint'", "if", "np", ".", "allclose", "(", "xyz_rpy", "(", "trans", ")", ",", "0", ")", ":"...
Connect a link (as a child) to this joint
[ "Connect", "a", "link", "(", "as", "a", "child", ")", "to", "this", "joint" ]
[ "\"\"\"Connect a link (as a child) to this joint\"\"\"", "# If the relative position/rotation of the provided link is zero we can", "# connect the link directly to this joint, otherwise we need another", "# link to sit right where this joint ends which then connects to the", "# provided link through another...
[ { "param": "self", "type": null }, { "param": "link", "type": null }, { "param": "trans", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "link", "type": null, "docstring": null, "docstring_tokens": [...
6d877d2ab315221a0b73422bf521da6205df28fe
OssianEriksson/autonomous-twizy
twizy_description/src/twizy_description/robot_description.py
[ "Apache-2.0" ]
Python
connect_visual
null
def connect_visual(self, visual): """Connect a visual element (as a child) to this joint""" link = _URDFLink() self.connect_link(link) link.connect_visual(visual)
Connect a visual element (as a child) to this joint
Connect a visual element (as a child) to this joint
[ "Connect", "a", "visual", "element", "(", "as", "a", "child", ")", "to", "this", "joint" ]
def connect_visual(self, visual): link = _URDFLink() self.connect_link(link) link.connect_visual(visual)
[ "def", "connect_visual", "(", "self", ",", "visual", ")", ":", "link", "=", "_URDFLink", "(", ")", "self", ".", "connect_link", "(", "link", ")", "link", ".", "connect_visual", "(", "visual", ")" ]
Connect a visual element (as a child) to this joint
[ "Connect", "a", "visual", "element", "(", "as", "a", "child", ")", "to", "this", "joint" ]
[ "\"\"\"Connect a visual element (as a child) to this joint\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "visual", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "visual", "type": null, "docstring": null, "docstring_tokens":...
6d877d2ab315221a0b73422bf521da6205df28fe
OssianEriksson/autonomous-twizy
twizy_description/src/twizy_description/robot_description.py
[ "Apache-2.0" ]
Python
xml
null
def xml(self, doc, robot): """Represent this joint and all its children as xml""" # A joint is only valid if it has both a parent and a child if self.parent and self.child: joint = doc.createElement('joint') joint.setAttribute('type', self.type) joint.setAttr...
Represent this joint and all its children as xml
Represent this joint and all its children as xml
[ "Represent", "this", "joint", "and", "all", "its", "children", "as", "xml" ]
def xml(self, doc, robot): if self.parent and self.child: joint = doc.createElement('joint') joint.setAttribute('type', self.type) joint.setAttribute('name', self.name) parent = doc.createElement('parent') parent.setAttribute('link', self.parent.name) ...
[ "def", "xml", "(", "self", ",", "doc", ",", "robot", ")", ":", "if", "self", ".", "parent", "and", "self", ".", "child", ":", "joint", "=", "doc", ".", "createElement", "(", "'joint'", ")", "joint", ".", "setAttribute", "(", "'type'", ",", "self", ...
Represent this joint and all its children as xml
[ "Represent", "this", "joint", "and", "all", "its", "children", "as", "xml" ]
[ "\"\"\"Represent this joint and all its children as xml\"\"\"", "# A joint is only valid if it has both a parent and a child" ]
[ { "param": "self", "type": null }, { "param": "doc", "type": null }, { "param": "robot", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "doc", "type": null, "docstring": null, "docstring_tokens": []...
6d877d2ab315221a0b73422bf521da6205df28fe
OssianEriksson/autonomous-twizy
twizy_description/src/twizy_description/robot_description.py
[ "Apache-2.0" ]
Python
xml
null
def xml(self, doc, link): """Represent this visual element as xml""" # Extract scale and shear from transformation _, _, Z, S = decompose44(self.trans) z = np.mean(Z) meta = _URDFVisual.meta[self.node.name] if not meta.non_uniform_scale and not np.allclose(Z, z): ...
Represent this visual element as xml
Represent this visual element as xml
[ "Represent", "this", "visual", "element", "as", "xml" ]
def xml(self, doc, link): _, _, Z, S = decompose44(self.trans) z = np.mean(Z) meta = _URDFVisual.meta[self.node.name] if not meta.non_uniform_scale and not np.allclose(Z, z): raise ValueError('Non uniform scale not supported for node ' f'{self.nod...
[ "def", "xml", "(", "self", ",", "doc", ",", "link", ")", ":", "_", ",", "_", ",", "Z", ",", "S", "=", "decompose44", "(", "self", ".", "trans", ")", "z", "=", "np", ".", "mean", "(", "Z", ")", "meta", "=", "_URDFVisual", ".", "meta", "[", "...
Represent this visual element as xml
[ "Represent", "this", "visual", "element", "as", "xml" ]
[ "\"\"\"Represent this visual element as xml\"\"\"", "# Extract scale and shear from transformation" ]
[ { "param": "self", "type": null }, { "param": "doc", "type": null }, { "param": "link", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "doc", "type": null, "docstring": null, "docstring_tokens": []...
6d877d2ab315221a0b73422bf521da6205df28fe
OssianEriksson/autonomous-twizy
twizy_description/src/twizy_description/robot_description.py
[ "Apache-2.0" ]
Python
proto_str
<not_specific>
def proto_str(self, name, fields=[], header=''): """Generate a PROTO string representation of this node tree :param name: Name of the PROTO (must be the same as an eventual file name according to webots specifications) :type name: str :param fields: List of field definitions...
Generate a PROTO string representation of this node tree :param name: Name of the PROTO (must be the same as an eventual file name according to webots specifications) :type name: str :param fields: List of field definitions for the generated PROTO, one list element might...
Generate a PROTO string representation of this node tree
[ "Generate", "a", "PROTO", "string", "representation", "of", "this", "node", "tree" ]
def proto_str(self, name, fields=[], header=''): out = _IndentedOutput() out.write('#VRML_SIM R2021a utf8') for line in header.split('\n'): out.write(('' if not line or line.isspace() else '# ') + line) out.write(f'PROTO {name} [') for field in fields: out...
[ "def", "proto_str", "(", "self", ",", "name", ",", "fields", "=", "[", "]", ",", "header", "=", "''", ")", ":", "out", "=", "_IndentedOutput", "(", ")", "out", ".", "write", "(", "'#VRML_SIM R2021a utf8'", ")", "for", "line", "in", "header", ".", "sp...
Generate a PROTO string representation of this node tree
[ "Generate", "a", "PROTO", "string", "representation", "of", "this", "node", "tree" ]
[ "\"\"\"Generate a PROTO string representation of this node tree\n\n :param name: Name of the PROTO (must be the same as an eventual file\n name according to webots specifications)\n :type name: str\n :param fields: List of field definitions for the generated PROTO, one\n l...
[ { "param": "self", "type": null }, { "param": "name", "type": null }, { "param": "fields", "type": null }, { "param": "header", "type": null } ]
{ "returns": [ { "docstring": "A PROTO string representation of this node and it's children", "docstring_tokens": [ "A", "PROTO", "string", "representation", "of", "this", "node", "and", "it", "'", "s", "ch...
6d877d2ab315221a0b73422bf521da6205df28fe
OssianEriksson/autonomous-twizy
twizy_description/src/twizy_description/robot_description.py
[ "Apache-2.0" ]
Python
translation
<not_specific>
def translation(self): """4x4 translanslation matrix of this node relative to its parent""" t = self.fields.get('translation', '').split() if len(t) != 3 or t[0] == 'IS': return np.identity(4) return translation_matrix([float(a) for a in t])
4x4 translanslation matrix of this node relative to its parent
4x4 translanslation matrix of this node relative to its parent
[ "4x4", "translanslation", "matrix", "of", "this", "node", "relative", "to", "its", "parent" ]
def translation(self): t = self.fields.get('translation', '').split() if len(t) != 3 or t[0] == 'IS': return np.identity(4) return translation_matrix([float(a) for a in t])
[ "def", "translation", "(", "self", ")", ":", "t", "=", "self", ".", "fields", ".", "get", "(", "'translation'", ",", "''", ")", ".", "split", "(", ")", "if", "len", "(", "t", ")", "!=", "3", "or", "t", "[", "0", "]", "==", "'IS'", ":", "retur...
4x4 translanslation matrix of this node relative to its parent
[ "4x4", "translanslation", "matrix", "of", "this", "node", "relative", "to", "its", "parent" ]
[ "\"\"\"4x4 translanslation matrix of this node relative to its parent\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
6d877d2ab315221a0b73422bf521da6205df28fe
OssianEriksson/autonomous-twizy
twizy_description/src/twizy_description/robot_description.py
[ "Apache-2.0" ]
Python
rotation
<not_specific>
def rotation(self): """4x4 rotation matrix of this node relative to its parent""" r = self.fields.get('rotation', '').split() if len(r) != 4 or r[0] == 'IS': return np.identity(4) return axangle2aff([float(a) for a in r[:3]], float(r[3]))
4x4 rotation matrix of this node relative to its parent
4x4 rotation matrix of this node relative to its parent
[ "4x4", "rotation", "matrix", "of", "this", "node", "relative", "to", "its", "parent" ]
def rotation(self): r = self.fields.get('rotation', '').split() if len(r) != 4 or r[0] == 'IS': return np.identity(4) return axangle2aff([float(a) for a in r[:3]], float(r[3]))
[ "def", "rotation", "(", "self", ")", ":", "r", "=", "self", ".", "fields", ".", "get", "(", "'rotation'", ",", "''", ")", ".", "split", "(", ")", "if", "len", "(", "r", ")", "!=", "4", "or", "r", "[", "0", "]", "==", "'IS'", ":", "return", ...
4x4 rotation matrix of this node relative to its parent
[ "4x4", "rotation", "matrix", "of", "this", "node", "relative", "to", "its", "parent" ]
[ "\"\"\"4x4 rotation matrix of this node relative to its parent\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
6d877d2ab315221a0b73422bf521da6205df28fe
OssianEriksson/autonomous-twizy
twizy_description/src/twizy_description/robot_description.py
[ "Apache-2.0" ]
Python
scale
<not_specific>
def scale(self): """4x4 scale matrix of this node relative to its parent""" s = self.fields.get('scale', '').split() if len(s) != 3 or s[0] == 'IS': return np.identity(4) return scale_matrix([float(a) for a in s])
4x4 scale matrix of this node relative to its parent
4x4 scale matrix of this node relative to its parent
[ "4x4", "scale", "matrix", "of", "this", "node", "relative", "to", "its", "parent" ]
def scale(self): s = self.fields.get('scale', '').split() if len(s) != 3 or s[0] == 'IS': return np.identity(4) return scale_matrix([float(a) for a in s])
[ "def", "scale", "(", "self", ")", ":", "s", "=", "self", ".", "fields", ".", "get", "(", "'scale'", ",", "''", ")", ".", "split", "(", ")", "if", "len", "(", "s", ")", "!=", "3", "or", "s", "[", "0", "]", "==", "'IS'", ":", "return", "np", ...
4x4 scale matrix of this node relative to its parent
[ "4x4", "scale", "matrix", "of", "this", "node", "relative", "to", "its", "parent" ]
[ "\"\"\"4x4 scale matrix of this node relative to its parent\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
6d877d2ab315221a0b73422bf521da6205df28fe
OssianEriksson/autonomous-twizy
twizy_description/src/twizy_description/robot_description.py
[ "Apache-2.0" ]
Python
urdf_str
<not_specific>
def urdf_str(self, name, base='base_link', transformation=np.identity(4), header=''): """Generate a URDF string representation of this node tree :param name: Name of the robot :type name: str :param base: Name of the base link in the URDF representation :type ba...
Generate a URDF string representation of this node tree :param name: Name of the robot :type name: str :param base: Name of the base link in the URDF representation :type base: str :param transformation: A 4x4 transformation matrix to apply to the robot before genera...
Generate a URDF string representation of this node tree
[ "Generate", "a", "URDF", "string", "representation", "of", "this", "node", "tree" ]
def urdf_str(self, name, base='base_link', transformation=np.identity(4), header=''): _URDFLink.index, _URDFJoint.index = 0, 0 base_link = _URDFLink(base) self._urdf(transformation, base_link) doc = minidom.Document() if header: doc.appendChild(doc.cr...
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Generate a URDF string representation of this node tree
[ "Generate", "a", "URDF", "string", "representation", "of", "this", "node", "tree" ]
[ "\"\"\"Generate a URDF string representation of this node tree\n\n :param name: Name of the robot\n :type name: str\n :param base: Name of the base link in the URDF representation\n :type base: str\n :param transformation: A 4x4 transformation matrix to apply to the\n r...
[ { "param": "self", "type": null }, { "param": "name", "type": null }, { "param": "base", "type": null }, { "param": "transformation", "type": null }, { "param": "header", "type": null } ]
{ "returns": [ { "docstring": "A URDF string representation of this node and it's children", "docstring_tokens": [ "A", "URDF", "string", "representation", "of", "this", "node", "and", "it", "'", "s", "chil...
10e42e6cad8ffb84235cb27facd63ee90087fb62
OssianEriksson/autonomous-twizy
twizy_bringup/src/twizy_bringup/twizyparam.py
[ "Apache-2.0" ]
Python
_traverse_dict
null
def _traverse_dict(d, callback): """Calls a callback for every key-value pair in d recursively :param d: A dictionary to traverse :type d: list :param callback: A callback accepting a dictionary, key and value as arguments :type callback: callable """ kv = d.copy().items() if i...
Calls a callback for every key-value pair in d recursively :param d: A dictionary to traverse :type d: list :param callback: A callback accepting a dictionary, key and value as arguments :type callback: callable
Calls a callback for every key-value pair in d recursively
[ "Calls", "a", "callback", "for", "every", "key", "-", "value", "pair", "in", "d", "recursively" ]
def _traverse_dict(d, callback): kv = d.copy().items() if isinstance(d, dict) else enumerate(d.copy()) for k, v in kv: for a in (k, v): if isinstance(a, (dict, list)): _traverse_dict(a, callback) callback(d, k, v)
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Calls a callback for every key-value pair in d recursively
[ "Calls", "a", "callback", "for", "every", "key", "-", "value", "pair", "in", "d", "recursively" ]
[ "\"\"\"Calls a callback for every key-value pair in d recursively\n \n :param d: A dictionary to traverse\n :type d: list\n :param callback: A callback accepting a dictionary, key and value as\n arguments\n :type callback: callable\n \"\"\"" ]
[ { "param": "d", "type": null }, { "param": "callback", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "d", "type": null, "docstring": "A dictionary to traverse", "docstring_tokens": [ "A", "dictionary", "to", "traverse" ], "default": null, "is_optional": null }, { ...
10e42e6cad8ffb84235cb27facd63ee90087fb62
OssianEriksson/autonomous-twizy
twizy_bringup/src/twizy_bringup/twizyparam.py
[ "Apache-2.0" ]
Python
parse
<not_specific>
def parse(path): """Parse a YAML file The following extra tags are supported: * !eval: Evaluates a Python expression * !include: Includes another YAML file by path * !variable: A variable to be used in !eval expressions :param path: Path to a YAML file :type path: str :return: A ...
Parse a YAML file The following extra tags are supported: * !eval: Evaluates a Python expression * !include: Includes another YAML file by path * !variable: A variable to be used in !eval expressions :param path: Path to a YAML file :type path: str :return: A parsed YAML object where...
Parse a YAML file The following extra tags are supported. !eval: Evaluates a Python expression !include: Includes another YAML file by path !variable: A variable to be used in !eval expressions
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def parse(path): text = Path(path).read_text() text = re.sub(r'^( *)<< *:', r'\1!merge :', text, flags=re.M) parsed = yaml.load(text, yaml.SafeLoader) def extract_variables(root, k, v): if isinstance(k, _Variable): del root[k] variables[k.name] = v elif isinstance...
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Parse a YAML file The following extra tags are supported:
[ "Parse", "a", "YAML", "file", "The", "following", "extra", "tags", "are", "supported", ":" ]
[ "\"\"\"Parse a YAML file\n\n The following extra tags are supported:\n\n * !eval: Evaluates a Python expression\n * !include: Includes another YAML file by path\n * !variable: A variable to be used in !eval expressions\n\n :param path: Path to a YAML file\n :type path: str\n \n :return: A pa...
[ { "param": "path", "type": null } ]
{ "returns": [ { "docstring": "A parsed YAML object where the tags defined above have been\nexpanded", "docstring_tokens": [ "A", "parsed", "YAML", "object", "where", "the", "tags", "defined", "above", "have", "bee...
7add2eaa6a6ac4391ab449d9230e5f07def6d409
OssianEriksson/autonomous-twizy
twizy_description/src/twizy_description/collada_node.py
[ "Apache-2.0" ]
Python
terminate
<not_specific>
def terminate(a): """Flattens a matrix of coordinates terminating each tuple with -1 :param a: A matrix where each row represents a tuple of coordinates :return: A flat list where each row in the input matrix follows after the next, but where every row has been term...
Flattens a matrix of coordinates terminating each tuple with -1 :param a: A matrix where each row represents a tuple of coordinates :return: A flat list where each row in the input matrix follows after the next, but where every row has been terminated with -1 to...
Flattens a matrix of coordinates terminating each tuple with -1
[ "Flattens", "a", "matrix", "of", "coordinates", "terminating", "each", "tuple", "with", "-", "1" ]
def terminate(a): return np.hstack((a, np.full((a.shape[0], 1), -1))).flatten()
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Flattens a matrix of coordinates terminating each tuple with -1
[ "Flattens", "a", "matrix", "of", "coordinates", "terminating", "each", "tuple", "with", "-", "1" ]
[ "\"\"\"Flattens a matrix of coordinates terminating each tuple with -1\n\n :param a: A matrix where each row represents a tuple of coordinates\n\n :return: A flat list where each row in the input matrix follows\n after the next, but where every row has been terminated with -1\n ...
[ { "param": "a", "type": null } ]
{ "returns": [ { "docstring": "A flat list where each row in the input matrix follows\nafter the next, but where every row has been terminated with -1\nto separate out rows", "docstring_tokens": [ "A", "flat", "list", "where", "each", "row", "in"...
5276d49a54af25320f230dd2201ecfd1856ce82a
BeenzSyed/tempest
tempest/common/utils/linux/remote_client.py
[ "Apache-2.0" ]
Python
validate_authentication
null
def validate_authentication(self): """Validate ssh connection and authentication This method raises an Exception when the validation fails. """ self.ssh_client.test_connection_auth()
Validate ssh connection and authentication This method raises an Exception when the validation fails.
Validate ssh connection and authentication This method raises an Exception when the validation fails.
[ "Validate", "ssh", "connection", "and", "authentication", "This", "method", "raises", "an", "Exception", "when", "the", "validation", "fails", "." ]
def validate_authentication(self): self.ssh_client.test_connection_auth()
[ "def", "validate_authentication", "(", "self", ")", ":", "self", ".", "ssh_client", ".", "test_connection_auth", "(", ")" ]
Validate ssh connection and authentication This method raises an Exception when the validation fails.
[ "Validate", "ssh", "connection", "and", "authentication", "This", "method", "raises", "an", "Exception", "when", "the", "validation", "fails", "." ]
[ "\"\"\"Validate ssh connection and authentication\n This method raises an Exception when the validation fails.\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
ec873213636ba804a7e8c3c5a3c6f201b633472d
BeenzSyed/tempest
tempest/api/baremetal/base.py
[ "Apache-2.0" ]
Python
creates
<not_specific>
def creates(resource): """Decorator that adds resources to the appropriate cleanup list.""" def decorator(f): @functools.wraps(f) def wrapper(cls, *args, **kwargs): result = f(cls, *args, **kwargs) body = result[resource] if 'uuid' in body: c...
Decorator that adds resources to the appropriate cleanup list.
Decorator that adds resources to the appropriate cleanup list.
[ "Decorator", "that", "adds", "resources", "to", "the", "appropriate", "cleanup", "list", "." ]
def creates(resource): def decorator(f): @functools.wraps(f) def wrapper(cls, *args, **kwargs): result = f(cls, *args, **kwargs) body = result[resource] if 'uuid' in body: cls.created_objects[resource].add(body['uuid']) return result ...
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Decorator that adds resources to the appropriate cleanup list.
[ "Decorator", "that", "adds", "resources", "to", "the", "appropriate", "cleanup", "list", "." ]
[ "\"\"\"Decorator that adds resources to the appropriate cleanup list.\"\"\"" ]
[ { "param": "resource", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "resource", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
ec873213636ba804a7e8c3c5a3c6f201b633472d
BeenzSyed/tempest
tempest/api/baremetal/base.py
[ "Apache-2.0" ]
Python
tearDownClass
null
def tearDownClass(cls): """Ensure that all created objects get destroyed.""" try: for resource, uuids in cls.created_objects.iteritems(): delete_method = getattr(cls.client, 'delete_%s' % resource) for u in uuids: delete_method(u, ignore_e...
Ensure that all created objects get destroyed.
Ensure that all created objects get destroyed.
[ "Ensure", "that", "all", "created", "objects", "get", "destroyed", "." ]
def tearDownClass(cls): try: for resource, uuids in cls.created_objects.iteritems(): delete_method = getattr(cls.client, 'delete_%s' % resource) for u in uuids: delete_method(u, ignore_errors=exc.NotFound) finally: super(BaseBar...
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Ensure that all created objects get destroyed.
[ "Ensure", "that", "all", "created", "objects", "get", "destroyed", "." ]
[ "\"\"\"Ensure that all created objects get destroyed.\"\"\"" ]
[ { "param": "cls", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "cls", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
ec873213636ba804a7e8c3c5a3c6f201b633472d
BeenzSyed/tempest
tempest/api/baremetal/base.py
[ "Apache-2.0" ]
Python
create_chassis
<not_specific>
def create_chassis(cls, description=None, expect_errors=False): """ Wrapper utility for creating test chassis. :param description: A description of the chassis. if not supplied, a random value will be generated. :return: Created chassis. """ description = de...
Wrapper utility for creating test chassis. :param description: A description of the chassis. if not supplied, a random value will be generated. :return: Created chassis.
Wrapper utility for creating test chassis.
[ "Wrapper", "utility", "for", "creating", "test", "chassis", "." ]
def create_chassis(cls, description=None, expect_errors=False): description = description or data_utils.rand_name('test-chassis-') resp, body = cls.client.create_chassis(description=description) return {'chassis': body, 'response': resp}
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Wrapper utility for creating test chassis.
[ "Wrapper", "utility", "for", "creating", "test", "chassis", "." ]
[ "\"\"\"\n Wrapper utility for creating test chassis.\n\n :param description: A description of the chassis. if not supplied,\n a random value will be generated.\n :return: Created chassis.\n\n \"\"\"" ]
[ { "param": "cls", "type": null }, { "param": "description", "type": null }, { "param": "expect_errors", "type": null } ]
{ "returns": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "raises": [], "params": [ { "identifier": "cls", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null ...
ec873213636ba804a7e8c3c5a3c6f201b633472d
BeenzSyed/tempest
tempest/api/baremetal/base.py
[ "Apache-2.0" ]
Python
create_node
<not_specific>
def create_node(cls, chassis_id, cpu_arch='x86', cpu_num=8, storage=1024, memory=4096, driver='fake'): """ Wrapper utility for creating test baremetal nodes. :param cpu_arch: CPU architecture of the node. Default: x86. :param cpu_num: Number of CPUs. Default: 8. ...
Wrapper utility for creating test baremetal nodes. :param cpu_arch: CPU architecture of the node. Default: x86. :param cpu_num: Number of CPUs. Default: 8. :param storage: Disk size. Default: 1024. :param memory: Available RAM. Default: 4096. :return: Created node. ...
Wrapper utility for creating test baremetal nodes.
[ "Wrapper", "utility", "for", "creating", "test", "baremetal", "nodes", "." ]
def create_node(cls, chassis_id, cpu_arch='x86', cpu_num=8, storage=1024, memory=4096, driver='fake'): resp, body = cls.client.create_node(chassis_id, cpu_arch=cpu_arch, cpu_num=cpu_num, storage=storage, ...
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Wrapper utility for creating test baremetal nodes.
[ "Wrapper", "utility", "for", "creating", "test", "baremetal", "nodes", "." ]
[ "\"\"\"\n Wrapper utility for creating test baremetal nodes.\n\n :param cpu_arch: CPU architecture of the node. Default: x86.\n :param cpu_num: Number of CPUs. Default: 8.\n :param storage: Disk size. Default: 1024.\n :param memory: Available RAM. Default: 4096.\n :return: ...
[ { "param": "cls", "type": null }, { "param": "chassis_id", "type": null }, { "param": "cpu_arch", "type": null }, { "param": "cpu_num", "type": null }, { "param": "storage", "type": null }, { "param": "memory", "type": null }, { "param": "d...
{ "returns": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "raises": [], "params": [ { "identifier": "cls", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null ...
ec873213636ba804a7e8c3c5a3c6f201b633472d
BeenzSyed/tempest
tempest/api/baremetal/base.py
[ "Apache-2.0" ]
Python
create_port
<not_specific>
def create_port(cls, node_id, address=None): """ Wrapper utility for creating test ports. :param address: MAC address of the port. If not supplied, a random value will be generated. :return: Created port. """ address = address or data_utils.rand_mac_address(...
Wrapper utility for creating test ports. :param address: MAC address of the port. If not supplied, a random value will be generated. :return: Created port.
Wrapper utility for creating test ports.
[ "Wrapper", "utility", "for", "creating", "test", "ports", "." ]
def create_port(cls, node_id, address=None): address = address or data_utils.rand_mac_address() resp, body = cls.client.create_port(address=address, node_id=node_id) return {'port': body, 'response': resp}
[ "def", "create_port", "(", "cls", ",", "node_id", ",", "address", "=", "None", ")", ":", "address", "=", "address", "or", "data_utils", ".", "rand_mac_address", "(", ")", "resp", ",", "body", "=", "cls", ".", "client", ".", "create_port", "(", "address",...
Wrapper utility for creating test ports.
[ "Wrapper", "utility", "for", "creating", "test", "ports", "." ]
[ "\"\"\"\n Wrapper utility for creating test ports.\n\n :param address: MAC address of the port. If not supplied, a random\n value will be generated.\n :return: Created port.\n\n \"\"\"" ]
[ { "param": "cls", "type": null }, { "param": "node_id", "type": null }, { "param": "address", "type": null } ]
{ "returns": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "raises": [], "params": [ { "identifier": "cls", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null ...
ec873213636ba804a7e8c3c5a3c6f201b633472d
BeenzSyed/tempest
tempest/api/baremetal/base.py
[ "Apache-2.0" ]
Python
delete_chassis
<not_specific>
def delete_chassis(cls, chassis_id): """ Deletes a chassis having the specified UUID. :param uuid: The unique identifier of the chassis. :return: Server response. """ resp, body = cls.client.delete_chassis(chassis_id) if chassis_id in cls.created_objects['chas...
Deletes a chassis having the specified UUID. :param uuid: The unique identifier of the chassis. :return: Server response.
Deletes a chassis having the specified UUID.
[ "Deletes", "a", "chassis", "having", "the", "specified", "UUID", "." ]
def delete_chassis(cls, chassis_id): resp, body = cls.client.delete_chassis(chassis_id) if chassis_id in cls.created_objects['chassis']: cls.created_objects['chassis'].remove(chassis_id) return resp
[ "def", "delete_chassis", "(", "cls", ",", "chassis_id", ")", ":", "resp", ",", "body", "=", "cls", ".", "client", ".", "delete_chassis", "(", "chassis_id", ")", "if", "chassis_id", "in", "cls", ".", "created_objects", "[", "'chassis'", "]", ":", "cls", "...
Deletes a chassis having the specified UUID.
[ "Deletes", "a", "chassis", "having", "the", "specified", "UUID", "." ]
[ "\"\"\"\n Deletes a chassis having the specified UUID.\n\n :param uuid: The unique identifier of the chassis.\n :return: Server response.\n\n \"\"\"" ]
[ { "param": "cls", "type": null }, { "param": "chassis_id", "type": null } ]
{ "returns": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "raises": [], "params": [ { "identifier": "cls", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null ...
ec873213636ba804a7e8c3c5a3c6f201b633472d
BeenzSyed/tempest
tempest/api/baremetal/base.py
[ "Apache-2.0" ]
Python
delete_node
<not_specific>
def delete_node(cls, node_id): """ Deletes a node having the specified UUID. :param uuid: The unique identifier of the node. :return: Server response. """ resp, body = cls.client.delete_node(node_id) if node_id in cls.created_objects['node']: cls.c...
Deletes a node having the specified UUID. :param uuid: The unique identifier of the node. :return: Server response.
Deletes a node having the specified UUID.
[ "Deletes", "a", "node", "having", "the", "specified", "UUID", "." ]
def delete_node(cls, node_id): resp, body = cls.client.delete_node(node_id) if node_id in cls.created_objects['node']: cls.created_objects['node'].remove(node_id) return resp
[ "def", "delete_node", "(", "cls", ",", "node_id", ")", ":", "resp", ",", "body", "=", "cls", ".", "client", ".", "delete_node", "(", "node_id", ")", "if", "node_id", "in", "cls", ".", "created_objects", "[", "'node'", "]", ":", "cls", ".", "created_obj...
Deletes a node having the specified UUID.
[ "Deletes", "a", "node", "having", "the", "specified", "UUID", "." ]
[ "\"\"\"\n Deletes a node having the specified UUID.\n\n :param uuid: The unique identifier of the node.\n :return: Server response.\n\n \"\"\"" ]
[ { "param": "cls", "type": null }, { "param": "node_id", "type": null } ]
{ "returns": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "raises": [], "params": [ { "identifier": "cls", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null ...
ec873213636ba804a7e8c3c5a3c6f201b633472d
BeenzSyed/tempest
tempest/api/baremetal/base.py
[ "Apache-2.0" ]
Python
delete_port
<not_specific>
def delete_port(cls, port_id): """ Deletes a port having the specified UUID. :param uuid: The unique identifier of the port. :return: Server response. """ resp, body = cls.client.delete_port(port_id) if port_id in cls.created_objects['port']: cls.c...
Deletes a port having the specified UUID. :param uuid: The unique identifier of the port. :return: Server response.
Deletes a port having the specified UUID.
[ "Deletes", "a", "port", "having", "the", "specified", "UUID", "." ]
def delete_port(cls, port_id): resp, body = cls.client.delete_port(port_id) if port_id in cls.created_objects['port']: cls.created_objects['port'].remove(port_id) return resp
[ "def", "delete_port", "(", "cls", ",", "port_id", ")", ":", "resp", ",", "body", "=", "cls", ".", "client", ".", "delete_port", "(", "port_id", ")", "if", "port_id", "in", "cls", ".", "created_objects", "[", "'port'", "]", ":", "cls", ".", "created_obj...
Deletes a port having the specified UUID.
[ "Deletes", "a", "port", "having", "the", "specified", "UUID", "." ]
[ "\"\"\"\n Deletes a port having the specified UUID.\n\n :param uuid: The unique identifier of the port.\n :return: Server response.\n\n \"\"\"" ]
[ { "param": "cls", "type": null }, { "param": "port_id", "type": null } ]
{ "returns": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "raises": [], "params": [ { "identifier": "cls", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null ...
f8c762c6291c4e52bf4b12fe67a05b672670d821
BeenzSyed/tempest
tempest/services/compute/v3/json/flavors_client.py
[ "Apache-2.0" ]
Python
create_flavor
<not_specific>
def create_flavor(self, name, ram, vcpus, disk, flavor_id, **kwargs): """Creates a new flavor or instance type.""" post_body = { 'name': name, 'ram': ram, 'vcpus': vcpus, 'disk': disk, 'id': flavor_id, } if kwargs.get('ephemeral...
Creates a new flavor or instance type.
Creates a new flavor or instance type.
[ "Creates", "a", "new", "flavor", "or", "instance", "type", "." ]
def create_flavor(self, name, ram, vcpus, disk, flavor_id, **kwargs): post_body = { 'name': name, 'ram': ram, 'vcpus': vcpus, 'disk': disk, 'id': flavor_id, } if kwargs.get('ephemeral'): post_body['ephemeral'] = kwargs.get('...
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Creates a new flavor or instance type.
[ "Creates", "a", "new", "flavor", "or", "instance", "type", "." ]
[ "\"\"\"Creates a new flavor or instance type.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "name", "type": null }, { "param": "ram", "type": null }, { "param": "vcpus", "type": null }, { "param": "disk", "type": null }, { "param": "flavor_id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "name", "type": null, "docstring": null, "docstring_tokens": [...
f8c762c6291c4e52bf4b12fe67a05b672670d821
BeenzSyed/tempest
tempest/services/compute/v3/json/flavors_client.py
[ "Apache-2.0" ]
Python
update_flavor_extra_spec
<not_specific>
def update_flavor_extra_spec(self, flavor_id, key, **kwargs): """Update specified extra Specs of the mentioned flavor and key.""" resp, body = self.put('flavors/%s/flavor-extra-specs/%s' % (flavor_id, key), json.dumps(kwargs), self.headers) ...
Update specified extra Specs of the mentioned flavor and key.
Update specified extra Specs of the mentioned flavor and key.
[ "Update", "specified", "extra", "Specs", "of", "the", "mentioned", "flavor", "and", "key", "." ]
def update_flavor_extra_spec(self, flavor_id, key, **kwargs): resp, body = self.put('flavors/%s/flavor-extra-specs/%s' % (flavor_id, key), json.dumps(kwargs), self.headers) body = json.loads(body) return resp, body
[ "def", "update_flavor_extra_spec", "(", "self", ",", "flavor_id", ",", "key", ",", "**", "kwargs", ")", ":", "resp", ",", "body", "=", "self", ".", "put", "(", "'flavors/%s/flavor-extra-specs/%s'", "%", "(", "flavor_id", ",", "key", ")", ",", "json", ".", ...
Update specified extra Specs of the mentioned flavor and key.
[ "Update", "specified", "extra", "Specs", "of", "the", "mentioned", "flavor", "and", "key", "." ]
[ "\"\"\"Update specified extra Specs of the mentioned flavor and key.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "flavor_id", "type": null }, { "param": "key", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "flavor_id", "type": null, "docstring": null, "docstring_token...
f8c762c6291c4e52bf4b12fe67a05b672670d821
BeenzSyed/tempest
tempest/services/compute/v3/json/flavors_client.py
[ "Apache-2.0" ]
Python
list_flavor_access
<not_specific>
def list_flavor_access(self, flavor_id): """Gets flavor access information given the flavor id.""" resp, body = self.get('flavors/%s/flavor-access' % flavor_id, self.headers) body = json.loads(body) return resp, body['flavor_access']
Gets flavor access information given the flavor id.
Gets flavor access information given the flavor id.
[ "Gets", "flavor", "access", "information", "given", "the", "flavor", "id", "." ]
def list_flavor_access(self, flavor_id): resp, body = self.get('flavors/%s/flavor-access' % flavor_id, self.headers) body = json.loads(body) return resp, body['flavor_access']
[ "def", "list_flavor_access", "(", "self", ",", "flavor_id", ")", ":", "resp", ",", "body", "=", "self", ".", "get", "(", "'flavors/%s/flavor-access'", "%", "flavor_id", ",", "self", ".", "headers", ")", "body", "=", "json", ".", "loads", "(", "body", ")"...
Gets flavor access information given the flavor id.
[ "Gets", "flavor", "access", "information", "given", "the", "flavor", "id", "." ]
[ "\"\"\"Gets flavor access information given the flavor id.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "flavor_id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "flavor_id", "type": null, "docstring": null, "docstring_token...
f8c762c6291c4e52bf4b12fe67a05b672670d821
BeenzSyed/tempest
tempest/services/compute/v3/json/flavors_client.py
[ "Apache-2.0" ]
Python
add_flavor_access
<not_specific>
def add_flavor_access(self, flavor_id, tenant_id): """Add flavor access for the specified tenant.""" post_body = { 'add_tenant_access': { 'tenant_id': tenant_id } } post_body = json.dumps(post_body) resp, body = self.post('flavors/%s/action...
Add flavor access for the specified tenant.
Add flavor access for the specified tenant.
[ "Add", "flavor", "access", "for", "the", "specified", "tenant", "." ]
def add_flavor_access(self, flavor_id, tenant_id): post_body = { 'add_tenant_access': { 'tenant_id': tenant_id } } post_body = json.dumps(post_body) resp, body = self.post('flavors/%s/action' % flavor_id, post_body, s...
[ "def", "add_flavor_access", "(", "self", ",", "flavor_id", ",", "tenant_id", ")", ":", "post_body", "=", "{", "'add_tenant_access'", ":", "{", "'tenant_id'", ":", "tenant_id", "}", "}", "post_body", "=", "json", ".", "dumps", "(", "post_body", ")", "resp", ...
Add flavor access for the specified tenant.
[ "Add", "flavor", "access", "for", "the", "specified", "tenant", "." ]
[ "\"\"\"Add flavor access for the specified tenant.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "flavor_id", "type": null }, { "param": "tenant_id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "flavor_id", "type": null, "docstring": null, "docstring_token...
f8c762c6291c4e52bf4b12fe67a05b672670d821
BeenzSyed/tempest
tempest/services/compute/v3/json/flavors_client.py
[ "Apache-2.0" ]
Python
remove_flavor_access
<not_specific>
def remove_flavor_access(self, flavor_id, tenant_id): """Remove flavor access from the specified tenant.""" post_body = { 'remove_tenant_access': { 'tenant_id': tenant_id } } post_body = json.dumps(post_body) resp, body = self.post('flavors...
Remove flavor access from the specified tenant.
Remove flavor access from the specified tenant.
[ "Remove", "flavor", "access", "from", "the", "specified", "tenant", "." ]
def remove_flavor_access(self, flavor_id, tenant_id): post_body = { 'remove_tenant_access': { 'tenant_id': tenant_id } } post_body = json.dumps(post_body) resp, body = self.post('flavors/%s/action' % flavor_id, post_b...
[ "def", "remove_flavor_access", "(", "self", ",", "flavor_id", ",", "tenant_id", ")", ":", "post_body", "=", "{", "'remove_tenant_access'", ":", "{", "'tenant_id'", ":", "tenant_id", "}", "}", "post_body", "=", "json", ".", "dumps", "(", "post_body", ")", "re...
Remove flavor access from the specified tenant.
[ "Remove", "flavor", "access", "from", "the", "specified", "tenant", "." ]
[ "\"\"\"Remove flavor access from the specified tenant.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "flavor_id", "type": null }, { "param": "tenant_id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "flavor_id", "type": null, "docstring": null, "docstring_token...
e796f9bc06e9034732d4a623250cc2a199c8131f
BeenzSyed/tempest
tempest/services/object_storage/account_client.py
[ "Apache-2.0" ]
Python
list_account_metadata
<not_specific>
def list_account_metadata(self): """ HEAD on the storage URL Returns all account metadata headers """ headers = {"X-Storage-Token": self.token} resp, body = self.head('', headers=headers) return resp, body
HEAD on the storage URL Returns all account metadata headers
HEAD on the storage URL Returns all account metadata headers
[ "HEAD", "on", "the", "storage", "URL", "Returns", "all", "account", "metadata", "headers" ]
def list_account_metadata(self): headers = {"X-Storage-Token": self.token} resp, body = self.head('', headers=headers) return resp, body
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HEAD on the storage URL Returns all account metadata headers
[ "HEAD", "on", "the", "storage", "URL", "Returns", "all", "account", "metadata", "headers" ]
[ "\"\"\"\n HEAD on the storage URL\n Returns all account metadata headers\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
e796f9bc06e9034732d4a623250cc2a199c8131f
BeenzSyed/tempest
tempest/services/object_storage/account_client.py
[ "Apache-2.0" ]
Python
create_account_metadata
<not_specific>
def create_account_metadata(self, metadata, metadata_prefix='X-Account-Meta-'): """Creates an account metadata entry.""" headers = {} for key in metadata: headers[metadata_prefix + key] = metadata[key] resp, body = self.post('', headers=header...
Creates an account metadata entry.
Creates an account metadata entry.
[ "Creates", "an", "account", "metadata", "entry", "." ]
def create_account_metadata(self, metadata, metadata_prefix='X-Account-Meta-'): headers = {} for key in metadata: headers[metadata_prefix + key] = metadata[key] resp, body = self.post('', headers=headers, body=None) return resp, body
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Creates an account metadata entry.
[ "Creates", "an", "account", "metadata", "entry", "." ]
[ "\"\"\"Creates an account metadata entry.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "metadata", "type": null }, { "param": "metadata_prefix", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "metadata", "type": null, "docstring": null, "docstring_tokens...
e796f9bc06e9034732d4a623250cc2a199c8131f
BeenzSyed/tempest
tempest/services/object_storage/account_client.py
[ "Apache-2.0" ]
Python
delete_account_metadata
<not_specific>
def delete_account_metadata(self, metadata, metadata_prefix='X-Remove-Account-Meta-'): """ Deletes an account metadata entry. """ headers = {"X-Storage-Token": self.token} for item in metadata: headers[metadata_prefix + item] = 'x' ...
Deletes an account metadata entry.
Deletes an account metadata entry.
[ "Deletes", "an", "account", "metadata", "entry", "." ]
def delete_account_metadata(self, metadata, metadata_prefix='X-Remove-Account-Meta-'): headers = {"X-Storage-Token": self.token} for item in metadata: headers[metadata_prefix + item] = 'x' resp, body = self.post('', headers=headers, body=None) ...
[ "def", "delete_account_metadata", "(", "self", ",", "metadata", ",", "metadata_prefix", "=", "'X-Remove-Account-Meta-'", ")", ":", "headers", "=", "{", "\"X-Storage-Token\"", ":", "self", ".", "token", "}", "for", "item", "in", "metadata", ":", "headers", "[", ...
Deletes an account metadata entry.
[ "Deletes", "an", "account", "metadata", "entry", "." ]
[ "\"\"\"\n Deletes an account metadata entry.\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "metadata", "type": null }, { "param": "metadata_prefix", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "metadata", "type": null, "docstring": null, "docstring_tokens...
e796f9bc06e9034732d4a623250cc2a199c8131f
BeenzSyed/tempest
tempest/services/object_storage/account_client.py
[ "Apache-2.0" ]
Python
request
<not_specific>
def request(self, method, url, headers=None, body=None): """A simple HTTP request interface.""" self.http_obj = http.ClosingHttp() if headers is None: headers = {} if self.base_url is None: self._set_auth() req_url = "%s/%s" % (self.base_url, url) ...
A simple HTTP request interface.
A simple HTTP request interface.
[ "A", "simple", "HTTP", "request", "interface", "." ]
def request(self, method, url, headers=None, body=None): self.http_obj = http.ClosingHttp() if headers is None: headers = {} if self.base_url is None: self._set_auth() req_url = "%s/%s" % (self.base_url, url) self._log_request(method, req_url, headers, bod...
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A simple HTTP request interface.
[ "A", "simple", "HTTP", "request", "interface", "." ]
[ "\"\"\"A simple HTTP request interface.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "method", "type": null }, { "param": "url", "type": null }, { "param": "headers", "type": null }, { "param": "body", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "method", "type": null, "docstring": null, "docstring_tokens":...
5e90cd6a630cc4d1e8a6843c1a30c3c26ab4036a
BeenzSyed/tempest
tempest/services/baremetal/v1/base_v1.py
[ "Apache-2.0" ]
Python
create_node
<not_specific>
def create_node(self, chassis_id, **kwargs): """ Create a baremetal node with the specified parameters. :param cpu_arch: CPU architecture of the node. Default: x86_64. :param cpu_num: Number of CPUs. Default: 8. :param storage: Disk size. Default: 1024. :param memory: Av...
Create a baremetal node with the specified parameters. :param cpu_arch: CPU architecture of the node. Default: x86_64. :param cpu_num: Number of CPUs. Default: 8. :param storage: Disk size. Default: 1024. :param memory: Available RAM. Default: 4096. :param driver: Drive...
Create a baremetal node with the specified parameters.
[ "Create", "a", "baremetal", "node", "with", "the", "specified", "parameters", "." ]
def create_node(self, chassis_id, **kwargs): node = {'chassis_uuid': chassis_id, 'properties': {'cpu_arch': kwargs.get('cpu_arch', 'x86_64'), 'cpu_num': kwargs.get('cpu_num', 8), 'storage': kwargs.get('storage', 1024), ...
[ "def", "create_node", "(", "self", ",", "chassis_id", ",", "**", "kwargs", ")", ":", "node", "=", "{", "'chassis_uuid'", ":", "chassis_id", ",", "'properties'", ":", "{", "'cpu_arch'", ":", "kwargs", ".", "get", "(", "'cpu_arch'", ",", "'x86_64'", ")", "...
Create a baremetal node with the specified parameters.
[ "Create", "a", "baremetal", "node", "with", "the", "specified", "parameters", "." ]
[ "\"\"\"\n Create a baremetal node with the specified parameters.\n\n :param cpu_arch: CPU architecture of the node. Default: x86_64.\n :param cpu_num: Number of CPUs. Default: 8.\n :param storage: Disk size. Default: 1024.\n :param memory: Available RAM. Default: 4096.\n :p...
[ { "param": "self", "type": null }, { "param": "chassis_id", "type": null } ]
{ "returns": [ { "docstring": "A tuple with the server response and the created node.", "docstring_tokens": [ "A", "tuple", "with", "the", "server", "response", "and", "the", "created", "node", "." ], "...
5e90cd6a630cc4d1e8a6843c1a30c3c26ab4036a
BeenzSyed/tempest
tempest/services/baremetal/v1/base_v1.py
[ "Apache-2.0" ]
Python
create_chassis
<not_specific>
def create_chassis(self, **kwargs): """ Create a chassis with the specified parameters. :param description: The description of the chassis. Default: test-chassis :return: A tuple with the server response and the created chassis. """ chassis = {'description':...
Create a chassis with the specified parameters. :param description: The description of the chassis. Default: test-chassis :return: A tuple with the server response and the created chassis.
Create a chassis with the specified parameters.
[ "Create", "a", "chassis", "with", "the", "specified", "parameters", "." ]
def create_chassis(self, **kwargs): chassis = {'description': kwargs.get('description', 'test-chassis')} return self._create_request('chassis', 'chassis', chassis)
[ "def", "create_chassis", "(", "self", ",", "**", "kwargs", ")", ":", "chassis", "=", "{", "'description'", ":", "kwargs", ".", "get", "(", "'description'", ",", "'test-chassis'", ")", "}", "return", "self", ".", "_create_request", "(", "'chassis'", ",", "'...
Create a chassis with the specified parameters.
[ "Create", "a", "chassis", "with", "the", "specified", "parameters", "." ]
[ "\"\"\"\n Create a chassis with the specified parameters.\n\n :param description: The description of the chassis.\n Default: test-chassis\n :return: A tuple with the server response and the created chassis.\n\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [ { "docstring": "A tuple with the server response and the created chassis.", "docstring_tokens": [ "A", "tuple", "with", "the", "server", "response", "and", "the", "created", "chassis", "." ], ...
5e90cd6a630cc4d1e8a6843c1a30c3c26ab4036a
BeenzSyed/tempest
tempest/services/baremetal/v1/base_v1.py
[ "Apache-2.0" ]
Python
create_port
<not_specific>
def create_port(self, node_id, **kwargs): """ Create a port with the specified parameters. :param node_id: The ID of the node which owns the port. :param address: MAC address of the port. Default: 01:23:45:67:89:0A. :return: A tuple with the server response and the created port....
Create a port with the specified parameters. :param node_id: The ID of the node which owns the port. :param address: MAC address of the port. Default: 01:23:45:67:89:0A. :return: A tuple with the server response and the created port.
Create a port with the specified parameters.
[ "Create", "a", "port", "with", "the", "specified", "parameters", "." ]
def create_port(self, node_id, **kwargs): port = {'address': kwargs.get('address', '01:23:45:67:89:0A'), 'node_uuid': node_id} return self._create_request('ports', 'port', port)
[ "def", "create_port", "(", "self", ",", "node_id", ",", "**", "kwargs", ")", ":", "port", "=", "{", "'address'", ":", "kwargs", ".", "get", "(", "'address'", ",", "'01:23:45:67:89:0A'", ")", ",", "'node_uuid'", ":", "node_id", "}", "return", "self", ".",...
Create a port with the specified parameters.
[ "Create", "a", "port", "with", "the", "specified", "parameters", "." ]
[ "\"\"\"\n Create a port with the specified parameters.\n\n :param node_id: The ID of the node which owns the port.\n :param address: MAC address of the port. Default: 01:23:45:67:89:0A.\n :return: A tuple with the server response and the created port.\n\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "node_id", "type": null } ]
{ "returns": [ { "docstring": "A tuple with the server response and the created port.", "docstring_tokens": [ "A", "tuple", "with", "the", "server", "response", "and", "the", "created", "port", "." ], "...
5e90cd6a630cc4d1e8a6843c1a30c3c26ab4036a
BeenzSyed/tempest
tempest/services/baremetal/v1/base_v1.py
[ "Apache-2.0" ]
Python
delete_node
<not_specific>
def delete_node(self, uuid): """ Deletes a node having the specified UUID. :param uuid: The unique identifier of the node. :return: A tuple with the server response and the response body. """ return self._delete_request('nodes', uuid)
Deletes a node having the specified UUID. :param uuid: The unique identifier of the node. :return: A tuple with the server response and the response body.
Deletes a node having the specified UUID.
[ "Deletes", "a", "node", "having", "the", "specified", "UUID", "." ]
def delete_node(self, uuid): return self._delete_request('nodes', uuid)
[ "def", "delete_node", "(", "self", ",", "uuid", ")", ":", "return", "self", ".", "_delete_request", "(", "'nodes'", ",", "uuid", ")" ]
Deletes a node having the specified UUID.
[ "Deletes", "a", "node", "having", "the", "specified", "UUID", "." ]
[ "\"\"\"\n Deletes a node having the specified UUID.\n\n :param uuid: The unique identifier of the node.\n :return: A tuple with the server response and the response body.\n\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "uuid", "type": null } ]
{ "returns": [ { "docstring": "A tuple with the server response and the response body.", "docstring_tokens": [ "A", "tuple", "with", "the", "server", "response", "and", "the", "response", "body", "." ], ...
5e90cd6a630cc4d1e8a6843c1a30c3c26ab4036a
BeenzSyed/tempest
tempest/services/baremetal/v1/base_v1.py
[ "Apache-2.0" ]
Python
delete_chassis
<not_specific>
def delete_chassis(self, uuid): """ Deletes a chassis having the specified UUID. :param uuid: The unique identifier of the chassis. :return: A tuple with the server response and the response body. """ return self._delete_request('chassis', uuid)
Deletes a chassis having the specified UUID. :param uuid: The unique identifier of the chassis. :return: A tuple with the server response and the response body.
Deletes a chassis having the specified UUID.
[ "Deletes", "a", "chassis", "having", "the", "specified", "UUID", "." ]
def delete_chassis(self, uuid): return self._delete_request('chassis', uuid)
[ "def", "delete_chassis", "(", "self", ",", "uuid", ")", ":", "return", "self", ".", "_delete_request", "(", "'chassis'", ",", "uuid", ")" ]
Deletes a chassis having the specified UUID.
[ "Deletes", "a", "chassis", "having", "the", "specified", "UUID", "." ]
[ "\"\"\"\n Deletes a chassis having the specified UUID.\n\n :param uuid: The unique identifier of the chassis.\n :return: A tuple with the server response and the response body.\n\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "uuid", "type": null } ]
{ "returns": [ { "docstring": "A tuple with the server response and the response body.", "docstring_tokens": [ "A", "tuple", "with", "the", "server", "response", "and", "the", "response", "body", "." ], ...
5e90cd6a630cc4d1e8a6843c1a30c3c26ab4036a
BeenzSyed/tempest
tempest/services/baremetal/v1/base_v1.py
[ "Apache-2.0" ]
Python
delete_port
<not_specific>
def delete_port(self, uuid): """ Deletes a port having the specified UUID. :param uuid: The unique identifier of the port. :return: A tuple with the server response and the response body. """ return self._delete_request('ports', uuid)
Deletes a port having the specified UUID. :param uuid: The unique identifier of the port. :return: A tuple with the server response and the response body.
Deletes a port having the specified UUID.
[ "Deletes", "a", "port", "having", "the", "specified", "UUID", "." ]
def delete_port(self, uuid): return self._delete_request('ports', uuid)
[ "def", "delete_port", "(", "self", ",", "uuid", ")", ":", "return", "self", ".", "_delete_request", "(", "'ports'", ",", "uuid", ")" ]
Deletes a port having the specified UUID.
[ "Deletes", "a", "port", "having", "the", "specified", "UUID", "." ]
[ "\"\"\"\n Deletes a port having the specified UUID.\n\n :param uuid: The unique identifier of the port.\n :return: A tuple with the server response and the response body.\n\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "uuid", "type": null } ]
{ "returns": [ { "docstring": "A tuple with the server response and the response body.", "docstring_tokens": [ "A", "tuple", "with", "the", "server", "response", "and", "the", "response", "body", "." ], ...
f568488563efb954b2e65dc1f665e97004e282cb
BeenzSyed/tempest
tempest/services/compute/v3/xml/flavors_client.py
[ "Apache-2.0" ]
Python
create_flavor
<not_specific>
def create_flavor(self, name, ram, vcpus, disk, flavor_id, **kwargs): """Creates a new flavor or instance type.""" flavor = Element("flavor", xmlns=XMLNS_V3, ram=ram, vcpus=vcpus, disk=disk, ...
Creates a new flavor or instance type.
Creates a new flavor or instance type.
[ "Creates", "a", "new", "flavor", "or", "instance", "type", "." ]
def create_flavor(self, name, ram, vcpus, disk, flavor_id, **kwargs): flavor = Element("flavor", xmlns=XMLNS_V3, ram=ram, vcpus=vcpus, disk=disk, id=flavor_id, na...
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Creates a new flavor or instance type.
[ "Creates", "a", "new", "flavor", "or", "instance", "type", "." ]
[ "\"\"\"Creates a new flavor or instance type.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "name", "type": null }, { "param": "ram", "type": null }, { "param": "vcpus", "type": null }, { "param": "disk", "type": null }, { "param": "flavor_id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "name", "type": null, "docstring": null, "docstring_tokens": [...
f568488563efb954b2e65dc1f665e97004e282cb
BeenzSyed/tempest
tempest/services/compute/v3/xml/flavors_client.py
[ "Apache-2.0" ]
Python
update_flavor_extra_spec
<not_specific>
def update_flavor_extra_spec(self, flavor_id, key, **kwargs): """Update extra Specs details of the mentioned flavor and key.""" doc = Document() for (k, v) in kwargs.items(): element = Element(k) doc.append(element) value = Text(v) element.append(v...
Update extra Specs details of the mentioned flavor and key.
Update extra Specs details of the mentioned flavor and key.
[ "Update", "extra", "Specs", "details", "of", "the", "mentioned", "flavor", "and", "key", "." ]
def update_flavor_extra_spec(self, flavor_id, key, **kwargs): doc = Document() for (k, v) in kwargs.items(): element = Element(k) doc.append(element) value = Text(v) element.append(value) resp, body = self.put('flavors/%s/flavor-extra-specs/%s' % ...
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Update extra Specs details of the mentioned flavor and key.
[ "Update", "extra", "Specs", "details", "of", "the", "mentioned", "flavor", "and", "key", "." ]
[ "\"\"\"Update extra Specs details of the mentioned flavor and key.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "flavor_id", "type": null }, { "param": "key", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "flavor_id", "type": null, "docstring": null, "docstring_token...
f568488563efb954b2e65dc1f665e97004e282cb
BeenzSyed/tempest
tempest/services/compute/v3/xml/flavors_client.py
[ "Apache-2.0" ]
Python
list_flavor_access
<not_specific>
def list_flavor_access(self, flavor_id): """Gets flavor access information given the flavor id.""" resp, body = self.get('flavors/%s/flavor-access' % str(flavor_id), self.headers) body = self._parse_array(etree.fromstring(body)) return resp, body
Gets flavor access information given the flavor id.
Gets flavor access information given the flavor id.
[ "Gets", "flavor", "access", "information", "given", "the", "flavor", "id", "." ]
def list_flavor_access(self, flavor_id): resp, body = self.get('flavors/%s/flavor-access' % str(flavor_id), self.headers) body = self._parse_array(etree.fromstring(body)) return resp, body
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Gets flavor access information given the flavor id.
[ "Gets", "flavor", "access", "information", "given", "the", "flavor", "id", "." ]
[ "\"\"\"Gets flavor access information given the flavor id.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "flavor_id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "flavor_id", "type": null, "docstring": null, "docstring_token...
f568488563efb954b2e65dc1f665e97004e282cb
BeenzSyed/tempest
tempest/services/compute/v3/xml/flavors_client.py
[ "Apache-2.0" ]
Python
add_flavor_access
<not_specific>
def add_flavor_access(self, flavor_id, tenant_id): """Add flavor access for the specified tenant.""" doc = Document() server = Element("add_tenant_access") doc.append(server) server.add_attr("tenant_id", tenant_id) resp, body = self.post('flavors/%s/action' % str(flavor_i...
Add flavor access for the specified tenant.
Add flavor access for the specified tenant.
[ "Add", "flavor", "access", "for", "the", "specified", "tenant", "." ]
def add_flavor_access(self, flavor_id, tenant_id): doc = Document() server = Element("add_tenant_access") doc.append(server) server.add_attr("tenant_id", tenant_id) resp, body = self.post('flavors/%s/action' % str(flavor_id), str(doc), self.headers)...
[ "def", "add_flavor_access", "(", "self", ",", "flavor_id", ",", "tenant_id", ")", ":", "doc", "=", "Document", "(", ")", "server", "=", "Element", "(", "\"add_tenant_access\"", ")", "doc", ".", "append", "(", "server", ")", "server", ".", "add_attr", "(", ...
Add flavor access for the specified tenant.
[ "Add", "flavor", "access", "for", "the", "specified", "tenant", "." ]
[ "\"\"\"Add flavor access for the specified tenant.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "flavor_id", "type": null }, { "param": "tenant_id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "flavor_id", "type": null, "docstring": null, "docstring_token...
f568488563efb954b2e65dc1f665e97004e282cb
BeenzSyed/tempest
tempest/services/compute/v3/xml/flavors_client.py
[ "Apache-2.0" ]
Python
remove_flavor_access
<not_specific>
def remove_flavor_access(self, flavor_id, tenant_id): """Remove flavor access from the specified tenant.""" doc = Document() server = Element("remove_tenant_access") doc.append(server) server.add_attr("tenant_id", tenant_id) resp, body = self.post('flavors/%s/action' % st...
Remove flavor access from the specified tenant.
Remove flavor access from the specified tenant.
[ "Remove", "flavor", "access", "from", "the", "specified", "tenant", "." ]
def remove_flavor_access(self, flavor_id, tenant_id): doc = Document() server = Element("remove_tenant_access") doc.append(server) server.add_attr("tenant_id", tenant_id) resp, body = self.post('flavors/%s/action' % str(flavor_id), str(doc), self.he...
[ "def", "remove_flavor_access", "(", "self", ",", "flavor_id", ",", "tenant_id", ")", ":", "doc", "=", "Document", "(", ")", "server", "=", "Element", "(", "\"remove_tenant_access\"", ")", "doc", ".", "append", "(", "server", ")", "server", ".", "add_attr", ...
Remove flavor access from the specified tenant.
[ "Remove", "flavor", "access", "from", "the", "specified", "tenant", "." ]
[ "\"\"\"Remove flavor access from the specified tenant.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "flavor_id", "type": null }, { "param": "tenant_id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "flavor_id", "type": null, "docstring": null, "docstring_token...
7b0b08c53283d021becb3001d8d7683c677f0919
BeenzSyed/tempest
tempest/scenario/manager.py
[ "Apache-2.0" ]
Python
status_timeout
null
def status_timeout(self, things, thing_id, expected_status, error_status='ERROR', not_found_exception=nova_exceptions.NotFound): """ Given a thing and an expected status, do a loop, sleeping for a configurable amount of time, checking for the ...
Given a thing and an expected status, do a loop, sleeping for a configurable amount of time, checking for the expected status to show. At any time, if the returned status of the thing is ERROR, fail out.
Given a thing and an expected status, do a loop, sleeping for a configurable amount of time, checking for the expected status to show. At any time, if the returned status of the thing is ERROR, fail out.
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def status_timeout(self, things, thing_id, expected_status, error_status='ERROR', not_found_exception=nova_exceptions.NotFound): self._status_timeout(things, thing_id, expected_status=expected_status, error_s...
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Given a thing and an expected status, do a loop, sleeping for a configurable amount of time, checking for the expected status to show.
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[ "\"\"\"\n Given a thing and an expected status, do a loop, sleeping\n for a configurable amount of time, checking for the\n expected status to show. At any time, if the returned\n status of the thing is ERROR, fail out.\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "things", "type": null }, { "param": "thing_id", "type": null }, { "param": "expected_status", "type": null }, { "param": "error_status", "type": null }, { "param": "not_found_exception", "type": null ...
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "things", "type": null, "docstring": null, "docstring_tokens":...
7b0b08c53283d021becb3001d8d7683c677f0919
BeenzSyed/tempest
tempest/scenario/manager.py
[ "Apache-2.0" ]
Python
delete_timeout
null
def delete_timeout(self, things, thing_id, error_status='ERROR', not_found_exception=nova_exceptions.NotFound): """ Given a thing, do a loop, sleeping for a configurable amount of time, checking for the deleted status to show. At any time, if...
Given a thing, do a loop, sleeping for a configurable amount of time, checking for the deleted status to show. At any time, if the returned status of the thing is ERROR, fail out.
Given a thing, do a loop, sleeping for a configurable amount of time, checking for the deleted status to show. At any time, if the returned status of the thing is ERROR, fail out.
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def delete_timeout(self, things, thing_id, error_status='ERROR', not_found_exception=nova_exceptions.NotFound): self._status_timeout(things, thing_id, allow_notfound=True, error_s...
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Given a thing, do a loop, sleeping for a configurable amount of time, checking for the deleted status to show.
[ "Given", "a", "thing", "do", "a", "loop", "sleeping", "for", "a", "configurable", "amount", "of", "time", "checking", "for", "the", "deleted", "status", "to", "show", "." ]
[ "\"\"\"\n Given a thing, do a loop, sleeping\n for a configurable amount of time, checking for the\n deleted status to show. At any time, if the returned\n status of the thing is ERROR, fail out.\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "things", "type": null }, { "param": "thing_id", "type": null }, { "param": "error_status", "type": null }, { "param": "not_found_exception", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "things", "type": null, "docstring": null, "docstring_tokens":...
7b0b08c53283d021becb3001d8d7683c677f0919
BeenzSyed/tempest
tempest/scenario/manager.py
[ "Apache-2.0" ]
Python
_create_subnet
<not_specific>
def _create_subnet(self, network, namestart='subnet-smoke-'): """ Create a subnet for the given network within the cidr block configured for tenant networks. """ cfg = self.config.network tenant_cidr = netaddr.IPNetwork(cfg.tenant_network_cidr) result = None ...
Create a subnet for the given network within the cidr block configured for tenant networks.
Create a subnet for the given network within the cidr block configured for tenant networks.
[ "Create", "a", "subnet", "for", "the", "given", "network", "within", "the", "cidr", "block", "configured", "for", "tenant", "networks", "." ]
def _create_subnet(self, network, namestart='subnet-smoke-'): cfg = self.config.network tenant_cidr = netaddr.IPNetwork(cfg.tenant_network_cidr) result = None for subnet_cidr in tenant_cidr.subnet(cfg.tenant_network_mask_bits): body = dict( subnet=dict( ...
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Create a subnet for the given network within the cidr block configured for tenant networks.
[ "Create", "a", "subnet", "for", "the", "given", "network", "within", "the", "cidr", "block", "configured", "for", "tenant", "networks", "." ]
[ "\"\"\"\n Create a subnet for the given network within the cidr block\n configured for tenant networks.\n \"\"\"", "# Repeatedly attempt subnet creation with sequential cidr", "# blocks until an unallocated block is found." ]
[ { "param": "self", "type": null }, { "param": "network", "type": null }, { "param": "namestart", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "network", "type": null, "docstring": null, "docstring_tokens"...