order.config #

Definition of a data-taking campaign and the connection of its information to an analysis within a config.

Contents

order.config
- Class Campaign
- Class Config

Class Campaign#

class Campaign(*args, **kwargs)[source]#

Bases: order.unique.UniqueObject, order.mixins.CopyMixin, order.mixins.AuxDataMixin, order.mixins.TagMixin

Class that provides data that is subject to a campaign, i.e., a well-defined range of data-taking, detector alignment, MC production settings, datasets, etc. Common, generic information is available via dedicated attributes, specialized data can be stored as auxiliary data.

Arguments

ecm is the center-of-mass energy, bx the bunch-crossing. tags are forwarded to the TagMixin, aux to the AuxDataMixin, name and id to the UniqueObject constructor.

Copy behavior

copy()

All attributes are copied.

copy_shallow()

All attributs are copied except for contained datasets which are set to a default value instead.

Example

import order as od

c = od.Campaign(
    name="2017B",
    id=1,
    ecm=13,
    bx=25,
)

d = c.add_dataset("ttH", 1)

d in c.datasets
# -> True

d.campaign == c
# -> True

Members

ecm#

type: float

The center-of-mass energy in arbitrary units.

bx#

type: float

The bunch crossing in arbitrary units.

datasets#

type: UniqueObjectIndex (read-only)

The UniqueObjectIndex of child datasets.

Methods:

`add_dataset`(args, *kwargs)	Adds a child dataset to the `datasets` index and returns it.
`remove_dataset`(args, *kwargs)	Removes a child dataset from the `datasets` index and returns the removed object.
`clear_datasets`()	Removes all child datasets from the `datasets` index.
`extend_datasets`(objs)	Adds multiple child datasets to the `datasets` index and returns the added objects in a list.
`get_dataset`(obj[, default])	Returns a child dataset given by obj, which might be a name, id, or an instance from the `datasets` index.
`has_dataset`(obj)	Checks if the `datasets` index contains an obj which might be a name, id, or an instance.

Attributes:

`has_datasets`	Returns True when this dataset has child datasets, False otherwise.
`is_leaf_dataset`	Returns True when this dataset has no child datasets, False otherwise.

add_dataset(*args, **kwargs)[source]#: Adds a child dataset to the datasets index and returns it. See UniqueObjectIndex.add() for more info. Also sets the campaign of the added dataset to this instance.

remove_dataset(*args, **kwargs)[source]#: Removes a child dataset from the datasets index and returns the removed object. See UniqueObjectIndex.remove() for more info. Also resets the campaign of the added dataset.

clear_datasets()#: Removes all child datasets from the datasets index.

extend_datasets(objs)#: Adds multiple child datasets to the datasets index and returns the added objects in a list.

get_dataset(obj, default=no_default)#: Returns a child dataset given by obj, which might be a name, id, or an instance from the datasets index. When no dataset is found, default is returned when set. Otherwise, an error is raised.

has_dataset(obj)#: Checks if the datasets index contains an obj which might be a name, id, or an instance.

property has_datasets#: Returns True when this dataset has child datasets, False otherwise.

property is_leaf_dataset#: Returns True when this dataset has no child datasets, False otherwise.

Class Config#

class Config(*args, **kwargs)[source]#

Bases: order.unique.UniqueObject, order.mixins.CopyMixin, order.mixins.AuxDataMixin, order.mixins.TagMixin

Class holding analysis information that is related to a Campaign instance. Most of the analysis configuration happens here.

Besides references to the Analysis and Campaign instances it belongs to, it stores analysis datasets, processes, channels, categories, variables, and shifts in UniqueObjectIndex instances.

Arguments

datasets, processes, channels, categories, variables, and shifts are initialized from constructor arguments. name and id are forwarded to the UniqueObject constructor. name and id default to the values of the campaign instance. Specialized data such as integrated luminosities, triggers, etc, can be stored as auxiliary data aux, which are forwarded to the AuxDataMixin. tags are forwarded to the TagMixin.

Copy behavior

copy()

The campaign and analysis attributes are carried over as references, all remaining attributes are copied. Note that the copied config is also registered in the analysis.

copy_shallow()

All attributs are copied except for the analysis and campaign, as well as contained datasets, processes, channels, variables and shifts which are set to default values instead.

Example

import order as od

analysis = od.Analysis("ttH", 1)
campaign = od.Campaign("data_taking_2018", 1)

# add the campaign to the analysis, which returns a new config
cfg = analysis.add_config(campaign)

cfg.name, cfg.id
# -> "data_taking_2019", 1

# start configuration
cfg.add_dataset(campaign.get_dataset("ttH_bb"))

cfg.add_process("ttH_bb", 1, xsecs={13: 0.5071})

bb = cfg.add_channel("bb", 1)

bb.add_category("eq6j_eq4b")

cfg.add_variable("jet1_px", expression="jet1_pt * cos(jet1_phi)")

cfg.add_shift("pdf_up", type=Shift.SHAPE)
...

# at some point you might want to create a second config
# with other values for that campaign, e.g. for sub-measurements
cfg2 = analysis.add_config(campaign, name="sf_meausurement", id=2)
...

Members

campaign#

type: Campaign (read-only)

The Campaign instance this config belongs to.

analysis#

type: Analysis (read-only)

The Analysis instance this config belongs to. When set, this config is added to the index of configs of the analysis object.

shifts#

type: UniqueObjectIndex (read-only)

The UniqueObjectIndex of child shifts.

variables#

type: UniqueObjectIndex (read-only)

The UniqueObjectIndex of child variables.

categories#

type: UniqueObjectIndex (read-only)

The UniqueObjectIndex of child categories.

channels#

type: UniqueObjectIndex (read-only)

The UniqueObjectIndex of child channels.

processes#

type: UniqueObjectIndex (read-only)

The UniqueObjectIndex of child processes.

datasets#

type: UniqueObjectIndex (read-only)

The UniqueObjectIndex of child datasets.

Methods:

`add_category`(args, *kwargs)	Adds a child category to the `categories` index and returns it.
`add_channel`(args, *kwargs)	Adds a child channel to the `channels` index and returns it.
`add_dataset`(args, *kwargs)	Adds a child dataset to the `datasets` index and returns it.
`add_process`(args, *kwargs)	Adds a child process to the `processes` index and returns it.
`add_shift`(args, *kwargs)	Adds a child shift to the `shifts` index and returns it.
`add_variable`(args, *kwargs)	Adds a child variable to the `variables` index and returns it.
`clear_categories`()	Removes all child categories from the `categories` index.
`clear_channels`()	Removes all child channels from the `channels` index.
`clear_datasets`()	Removes all child datasets from the `datasets` index.
`clear_processes`()	Removes all child processes from the `processes` index.
`clear_shifts`()	Removes all child shifts from the `shifts` index.
`clear_variables`()	Removes all child variables from the `variables` index.
`copy`(args, *kwargs[, _specs, _skip])	Creates a copy of this instance and returns it.
`extend_categories`(objs)	Adds multiple child categories to the `categories` index and returns the added objects in a list.
`extend_channels`(objs)	Adds multiple child channels to the `channels` index and returns the added objects in a list.
`extend_datasets`(objs)	Adds multiple child datasets to the `datasets` index and returns the added objects in a list.
`extend_processes`(objs)	Adds multiple child processes to the `processes` index and returns the added objects in a list.
`extend_shifts`(objs)	Adds multiple child shifts to the `shifts` index and returns the added objects in a list.
`extend_variables`(objs)	Adds multiple child variables to the `variables` index and returns the added objects in a list.
`get_category`(obj[, deep, default])	Returns a child category given by obj, which might be a name, id, or an instance from the `categories` index.
`get_channel`(obj[, deep, default])	Returns a child channel given by obj, which might be a name, id, or an instance from the `channels` index.
`get_dataset`(obj[, default])	Returns a child dataset given by obj, which might be a name, id, or an instance from the `datasets` index.
`get_leaf_categories`()	Returns all child categories from the `categories` index that have no child categories themselves in a recursive fashion.
`get_leaf_channels`()	Returns all child channels from the `channels` index that have no child channels themselves in a recursive fashion.
`get_leaf_processes`()	Returns all child processes from the `processes` index that have no child processes themselves in a recursive fashion.
`get_process`(obj[, deep, default])	Returns a child process given by obj, which might be a name, id, or an instance from the `processes` index.
`get_shift`(obj[, default])	Returns a child shift given by obj, which might be a name, id, or an instance from the `shifts` index.
`get_variable`(obj[, default])	Returns a child variable given by obj, which might be a name, id, or an instance from the `variables` index.
`has_category`(obj[, deep])	Checks if the `categories` index contains an obj which might be a name, id, or an instance.
`has_channel`(obj[, deep])	Checks if the `channels` index contains an obj which might be a name, id, or an instance.
`has_dataset`(obj)	Checks if the `datasets` index contains an obj which might be a name, id, or an instance.
`has_process`(obj[, deep])	Checks if the `processes` index contains an obj which might be a name, id, or an instance.
`has_shift`(obj)	Checks if the `shifts` index contains an obj which might be a name, id, or an instance.
`has_variable`(obj)	Checks if the `variables` index contains an obj which might be a name, id, or an instance.
`remove_category`(obj[, silent])	Removes a child category given by obj, which might be a name, id, or an instance from the `categories` index and returns the removed object.
`remove_channel`(obj[, silent])	Removes a child channel given by obj, which might be a name, id, or an instance from the `channels` index and returns the removed object.
`remove_dataset`(obj[, silent])	Removes a child dataset given by obj, which might be a name, id, or an instance from the `datasets` index and returns the removed object.
`remove_process`(obj[, silent])	Removes a child process given by obj, which might be a name, id, or an instance from the `processes` index and returns the removed object.
`remove_shift`(obj[, silent])	Removes a child shift given by obj, which might be a name, id, or an instance from the `shifts` index and returns the removed object.
`remove_variable`(obj[, silent])	Removes a child variable given by obj, which might be a name, id, or an instance from the `variables` index and returns the removed object.
`walk_categories`([algo, depth_first, ...])	Walks through the `categories` index and per iteration, yields a child category, its depth relative to this category, and its child categories in a list that can be modified to alter the walking.
`walk_channels`([algo, depth_first, include_self])	Walks through the `channels` index and per iteration, yields a child channel, its depth relative to this channel, and its child channels in a list that can be modified to alter the walking.
`walk_processes`([algo, depth_first, include_self])	Walks through the `processes` index and per iteration, yields a child process, its depth relative to this process, and its child processes in a list that can be modified to alter the walking.

Attributes:

`has_categories`	Returns True when this category has child categories, False otherwise.
`has_channels`	Returns True when this channel has child channels, False otherwise.
`has_datasets`	Returns True when this dataset has child datasets, False otherwise.
`has_processes`	Returns True when this process has child processes, False otherwise.
`has_shifts`	Returns True when this shift has child shifts, False otherwise.
`has_variables`	Returns True when this variable has child variables, False otherwise.
`is_leaf_category`	Returns True when this category has no child categories, False otherwise.
`is_leaf_channel`	Returns True when this channel has no child channels, False otherwise.
`is_leaf_dataset`	Returns True when this dataset has no child datasets, False otherwise.
`is_leaf_process`	Returns True when this process has no child processes, False otherwise.
`is_leaf_shift`	Returns True when this shift has no child shifts, False otherwise.
`is_leaf_variable`	Returns True when this variable has no child variables, False otherwise.

add_category(*args, **kwargs)#: Adds a child category to the categories index and returns it. See UniqueObjectIndex.add() for more info.

add_channel(*args, **kwargs)#: Adds a child channel to the channels index and returns it. See UniqueObjectIndex.add() for more info.

add_dataset(*args, **kwargs)#: Adds a child dataset to the datasets index and returns it. See UniqueObjectIndex.add() for more info.

add_process(*args, **kwargs)#: Adds a child process to the processes index and returns it. See UniqueObjectIndex.add() for more info.

add_shift(*args, **kwargs)#: Adds a child shift to the shifts index and returns it. See UniqueObjectIndex.add() for more info.

add_variable(*args, **kwargs)#: Adds a child variable to the variables index and returns it. See UniqueObjectIndex.add() for more info.

clear_categories()#: Removes all child categories from the categories index.

clear_channels()#: Removes all child channels from the channels index.

clear_datasets()#: Removes all child datasets from the datasets index.

clear_processes()#: Removes all child processes from the processes index.

clear_shifts()#: Removes all child shifts from the shifts index.

clear_variables()#: Removes all child variables from the variables index.

copy(*args, **kwargs, _specs=None, _skip=None)[source]#: Creates a copy of this instance and returns it. All args and kwargs are converted to named arguments (based on the init signature) and set as attributes of the created copy. Additional specifications per attribute are taken from copy_specs or _specs if set. _skip can be a sequence of source attribute names that should be skipped.

extend_categories(objs)#: Adds multiple child categories to the categories index and returns the added objects in a list.

extend_channels(objs)#: Adds multiple child channels to the channels index and returns the added objects in a list.

extend_datasets(objs)#: Adds multiple child datasets to the datasets index and returns the added objects in a list.

extend_processes(objs)#: Adds multiple child processes to the processes index and returns the added objects in a list.

extend_shifts(objs)#: Adds multiple child shifts to the shifts index and returns the added objects in a list.

extend_variables(objs)#: Adds multiple child variables to the variables index and returns the added objects in a list.

get_category(obj, deep=True, default=no_default)#: Returns a child category given by obj, which might be a name, id, or an instance from the categories index. If deep is True, the lookup is recursive through potentially nested child categories. When no category is found, default is returned when set. Otherwise, an error is raised.

get_channel(obj, deep=True, default=no_default)#: Returns a child channel given by obj, which might be a name, id, or an instance from the channels index. If deep is True, the lookup is recursive through potentially nested child channels. When no channel is found, default is returned when set. Otherwise, an error is raised.

get_dataset(obj, default=no_default)#: Returns a child dataset given by obj, which might be a name, id, or an instance from the datasets index. When no dataset is found, default is returned when set. Otherwise, an error is raised.

get_leaf_categories()#: Returns all child categories from the categories index that have no child categories themselves in a recursive fashion. Possible duplicates due to nested structures are removed.

get_leaf_channels()#: Returns all child channels from the channels index that have no child channels themselves in a recursive fashion. Possible duplicates due to nested structures are removed.

get_leaf_processes()#: Returns all child processes from the processes index that have no child processes themselves in a recursive fashion. Possible duplicates due to nested structures are removed.

get_process(obj, deep=True, default=no_default)#: Returns a child process given by obj, which might be a name, id, or an instance from the processes index. If deep is True, the lookup is recursive through potentially nested child processes. When no process is found, default is returned when set. Otherwise, an error is raised.

get_shift(obj, default=no_default)#: Returns a child shift given by obj, which might be a name, id, or an instance from the shifts index. When no shift is found, default is returned when set. Otherwise, an error is raised.

get_variable(obj, default=no_default)#: Returns a child variable given by obj, which might be a name, id, or an instance from the variables index. When no variable is found, default is returned when set. Otherwise, an error is raised.

property has_categories#: Returns True when this category has child categories, False otherwise.

has_category(obj, deep=True)#: Checks if the categories index contains an obj which might be a name, id, or an instance. If deep is True, the lookup is recursive through potentially nested child categories.

has_channel(obj, deep=True)#: Checks if the channels index contains an obj which might be a name, id, or an instance. If deep is True, the lookup is recursive through potentially nested child channels.

property has_channels#: Returns True when this channel has child channels, False otherwise.

has_dataset(obj)#: Checks if the datasets index contains an obj which might be a name, id, or an instance.

property has_datasets#: Returns True when this dataset has child datasets, False otherwise.

has_process(obj, deep=True)#: Checks if the processes index contains an obj which might be a name, id, or an instance. If deep is True, the lookup is recursive through potentially nested child processes.

property has_processes#: Returns True when this process has child processes, False otherwise.

has_shift(obj)#: Checks if the shifts index contains an obj which might be a name, id, or an instance.

property has_shifts#: Returns True when this shift has child shifts, False otherwise.

has_variable(obj)#: Checks if the variables index contains an obj which might be a name, id, or an instance.

property has_variables#: Returns True when this variable has child variables, False otherwise.

property is_leaf_category#: Returns True when this category has no child categories, False otherwise.

property is_leaf_channel#: Returns True when this channel has no child channels, False otherwise.

property is_leaf_dataset#: Returns True when this dataset has no child datasets, False otherwise.

property is_leaf_process#: Returns True when this process has no child processes, False otherwise.

property is_leaf_shift#: Returns True when this shift has no child shifts, False otherwise.

property is_leaf_variable#: Returns True when this variable has no child variables, False otherwise.

remove_category(obj, silent=False)#: Removes a child category given by obj, which might be a name, id, or an instance from the categories index and returns the removed object. Unless silent is True, an error is raised if the object was not found. See UniqueObjectIndex.remove() for more info.

remove_channel(obj, silent=False)#: Removes a child channel given by obj, which might be a name, id, or an instance from the channels index and returns the removed object. Unless silent is True, an error is raised if the object was not found. See UniqueObjectIndex.remove() for more info.

remove_dataset(obj, silent=False)#: Removes a child dataset given by obj, which might be a name, id, or an instance from the datasets index and returns the removed object. Unless silent is True, an error is raised if the object was not found. See UniqueObjectIndex.remove() for more info.

remove_process(obj, silent=False)#: Removes a child process given by obj, which might be a name, id, or an instance from the processes index and returns the removed object. Unless silent is True, an error is raised if the object was not found. See UniqueObjectIndex.remove() for more info.

remove_shift(obj, silent=False)#: Removes a child shift given by obj, which might be a name, id, or an instance from the shifts index and returns the removed object. Unless silent is True, an error is raised if the object was not found. See UniqueObjectIndex.remove() for more info.

remove_variable(obj, silent=False)#: Removes a child variable given by obj, which might be a name, id, or an instance from the variables index and returns the removed object. Unless silent is True, an error is raised if the object was not found. See UniqueObjectIndex.remove() for more info.

walk_categories(algo='bfs', depth_first=False, include_self=False)#

Walks through the categories index and per iteration, yields a child category, its depth relative to this category, and its child categories in a list that can be modified to alter the walking.

The traversal order is defined by algo which allows different values (more info):

"bfs": Breadth-first search.

"dfs_preorder": Pre-order depth-first search.

"dfs_postorder": Post-order depth-first search.

"dfs": Alias for "dfs_preorder".

"dfs_pre": Alias for "dfs_preorder".

"dfs_post": Alias for "dfs_postorder".

When include_self is True, this category instance is yielded as well with a depth of 0.

walk_channels(algo='bfs', depth_first=False, include_self=False)#

Walks through the channels index and per iteration, yields a child channel, its depth relative to this channel, and its child channels in a list that can be modified to alter the walking.

The traversal order is defined by algo which allows different values (more info):

"bfs": Breadth-first search.

"dfs_preorder": Pre-order depth-first search.

"dfs_postorder": Post-order depth-first search.

"dfs": Alias for "dfs_preorder".

"dfs_pre": Alias for "dfs_preorder".

"dfs_post": Alias for "dfs_postorder".

When include_self is True, this channel instance is yielded as well with a depth of 0.

walk_processes(algo='bfs', depth_first=False, include_self=False)#

Walks through the processes index and per iteration, yields a child process, its depth relative to this process, and its child processes in a list that can be modified to alter the walking.

The traversal order is defined by algo which allows different values (more info):

"bfs": Breadth-first search.

"dfs_preorder": Pre-order depth-first search.

"dfs_postorder": Post-order depth-first search.

"dfs": Alias for "dfs_preorder".

"dfs_pre": Alias for "dfs_preorder".

"dfs_post": Alias for "dfs_postorder".

When include_self is True, this process instance is yielded as well with a depth of 0.

order.config

Contents

order.config#

Class Campaign#

Class Config#

order.config #