MemoryMetricTask¶

class lsst.verify.tasks.MemoryMetricTask(**kwargs)¶

Bases: lsst.verify.tasks.MetadataMetricTask

A Task that computes the maximum resident set size using metadata produced by the lsst.utils.timer.timeMethod decorator.

Parameters:	args kwargs Constructor parameters are the same as for `lsst.verify.tasks.MetricTask`.

Attributes Summary

canMultiprocess

Methods Summary

`emptyMetadata`()	Empty (clear) the metadata for this Task and all sub-Tasks.
`extractMetadata`(metadata, metadataKeys)	Read multiple keys from a metadata object.
`getAllSchemaCatalogs`()	Get schema catalogs for all tasks in the hierarchy, combining the results into a single dict.
`getFullMetadata`()	Get metadata for all tasks.
`getFullName`()	Get the task name as a hierarchical name including parent task names.
`getInputMetadataKeys`(config)	Get search strings for the metadata.
`getName`()	Get the name of the task.
`getResourceConfig`()	Return resource configuration for this task.
`getSchemaCatalogs`()	Get the schemas generated by this task.
`getTaskDict`()	Get a dictionary of all tasks as a shallow copy.
`makeField`(doc)	Make a `lsst.pex.config.ConfigurableField` for this task.
`makeMeasurement`(memory)	Compute a maximum resident set size measurement from metadata provided by `lsst.utils.timer.timeMethod`.
`makeSubtask`(name, **keyArgs)	Create a subtask as a new instance as the `name` attribute of this task.
`run`(metadata)	Compute a measurement from science task metadata.
`runQuantum`(butlerQC, inputRefs, outputRefs)	Do Butler I/O to provide in-memory objects for run.
`timer`(name, logLevel)	Context manager to log performance data for an arbitrary block of code.

Attributes Documentation

canMultiprocess = True¶

Methods Documentation

emptyMetadata() → None¶: Empty (clear) the metadata for this Task and all sub-Tasks.

static extractMetadata(metadata, metadataKeys)¶

Read multiple keys from a metadata object.

Parameters:	metadata : `lsst.pipe.base.TaskMetadata` A metadata object. metadataKeys : `dict` [`str`, `str`] Keys are arbitrary labels, values are metadata keys (or their substrings) in the format of `lsst.pipe.base.Task.getFullMetadata()`.
Returns:	metadataValues : `dict` [`str`, any] Keys are the same as for `metadataKeys`, values are the value of each metadata key, or `None` if no matching key was found.
Raises:	lsst.verify.tasks.MetricComputationError Raised if any metadata key string has more than one match in `metadata`.

getAllSchemaCatalogs() → Dict[str, Any]¶

Get schema catalogs for all tasks in the hierarchy, combining the results into a single dict.

Returns:	schemacatalogs : `dict` Keys are butler dataset type, values are a empty catalog (an instance of the appropriate `lsst.afw.table` Catalog type) for all tasks in the hierarchy, from the top-level task down through all subtasks.

Notes

This method may be called on any task in the hierarchy; it will return the same answer, regardless.

The default implementation should always suffice. If your subtask uses schemas the override Task.getSchemaCatalogs, not this method.

getFullMetadata() → lsst.pipe.base._task_metadata.TaskMetadata¶

Get metadata for all tasks.

Returns:	metadata : `TaskMetadata` The keys are the full task name. Values are metadata for the top-level task and all subtasks, sub-subtasks, etc.

Notes

The returned metadata includes timing information (if @timer.timeMethod is used) and any metadata set by the task. The name of each item consists of the full task name with . replaced by :, followed by . and the name of the item, e.g.:

topLevelTaskName:subtaskName:subsubtaskName.itemName

using : in the full task name disambiguates the rare situation that a task has a subtask and a metadata item with the same name.

getFullName() → str¶

Get the task name as a hierarchical name including parent task names.

Returns:	fullName : `str` The full name consists of the name of the parent task and each subtask separated by periods. For example: The full name of top-level task “top” is simply “top”. The full name of subtask “sub” of top-level task “top” is “top.sub”. The full name of subtask “sub2” of subtask “sub” of top-level task “top” is “top.sub.sub2”.

classmethod getInputMetadataKeys(config)¶

Get search strings for the metadata.

Parameters:	config : `cls.ConfigClass` Configuration for this task.
Returns:	keys : `dict` A dictionary of keys, optionally prefixed by one or more tasks in the format of `lsst.pipe.base.Task.getFullMetadata()`. `"EndMemory"` The key for the memory usage at the end of the method (`str`). `"MetadataVersion"` The key for the task-level metadata version.

getName() → str¶

Get the name of the task.

Returns:	taskName : `str` Name of the task.

See also

Task.getAllSchemaCatalogs

Notes

Warning

Subclasses that use schemas must override this method. The default implementation returns an empty dict.

This method may be called at any time after the Task is constructed, which means that all task schemas should be computed at construction time, not when data is actually processed. This reflects the philosophy that the schema should not depend on the data.

Returning catalogs rather than just schemas allows us to save e.g. slots for SourceCatalog as well.

getTaskDict() → Dict[str, weakref.ReferenceType[lsst.pipe.base.task.Task]]¶

Get a dictionary of all tasks as a shallow copy.

Returns:	taskDict : `dict` Dictionary containing full task name: task object for the top-level task and all subtasks, sub-subtasks, etc.

classmethod makeField(doc: str) → lsst.pex.config.configurableField.ConfigurableField¶

Make a lsst.pex.config.ConfigurableField for this task.

Parameters:	doc : `str` Help text for the field.
Returns:	configurableField : `lsst.pex.config.ConfigurableField` A `ConfigurableField` for this task.

Examples

Provides a convenient way to specify this task is a subtask of another task.

Here is an example of use:

class OtherTaskConfig(lsst.pex.config.Config):
    aSubtask = ATaskClass.makeField("brief description of task")

makeMeasurement(memory)¶

Compute a maximum resident set size measurement from metadata provided by lsst.utils.timer.timeMethod.

Parameters:	memory : `dict` [`str`, any] A representation of the metadata passed to `run`. Each `dict` has the following keys: `"EndMemory"` The memory usage at the end of the method (`int` or `None`). `"MetadataVersion"` The version of the task metadata in which the value was stored (`int` or `None`). `None` is assumed to be version 0.
Returns:	measurement : `lsst.verify.Measurement` The maximum memory usage of the target method.
Raises:	lsst.verify.tasks.MetricComputationError Raised if the memory metadata are invalid. lsst.pipe.base.NoWorkFound Raised if no matching memory metadata found.

makeSubtask(name: str, **keyArgs) → None¶

Create a subtask as a new instance as the name attribute of this task.

Parameters:	name : `str` Brief name of the subtask. keyArgs Extra keyword arguments used to construct the task. The following arguments are automatically provided and cannot be overridden: “config”. “parentTask”.

Notes

The subtask must be defined by Task.config.name, an instance of ConfigurableField or RegistryField.

run(metadata)¶

Compute a measurement from science task metadata.

Parameters:	metadata : `lsst.pipe.base.TaskMetadata` A metadata object for the unit of science processing to use for this metric, or a collection of such objects if this task combines many units of processing into a single metric.
Returns:	result : `lsst.pipe.base.Struct` A `Struct` containing the following component: `measurement`: the value of the metric (`lsst.verify.Measurement` or `None`)
Raises:	lsst.verify.tasks.MetricComputationError Raised if the strings returned by `getInputMetadataKeys` match more than one key in any metadata object. lsst.pipe.base.NoWorkFound Raised if the metric is ill-defined or otherwise inapplicable. Typically this means that the pipeline step or option being measured was not run.

Notes

This implementation calls getInputMetadataKeys, then searches for matching keys in each metadata. It then passes the values of these keys (or None if no match) to makeMeasurement, and returns its result to the caller.

runQuantum(butlerQC, inputRefs, outputRefs)¶

Do Butler I/O to provide in-memory objects for run.

This specialization of runQuantum performs error-handling specific to MetricTasks.

timer(name: str, logLevel: int = 10) → Iterator[None]¶

Context manager to log performance data for an arbitrary block of code.

Parameters:	name : `str` Name of code being timed; data will be logged using item name: `Start` and `End`. logLevel A `logging` level constant.

Navigation

MemoryMetricTask¶