graphpype.nodes.graph_stats.SwapLists¶

class graphpype.nodes.graph_stats.SwapLists(from_file=None, resource_monitor=None, ignore_exception=False, **inputs)[source]¶

Exchange lists of files in a random fashion (based on seed value) Typically, cor_mat, coords -> 2, or Z_list, node_corres and labels -> 3

If seed = -1, no swap is done (keep original values)

Inputs:

list_of_lists:

type = List of List of List of Files, exists=True, desc=’list of all correlation matrice files (in npy format) for each subject’, mandatory=True

seed:

type = Int, default = -1, desc=’value for seed’, mandatory=True, usedefault = True

Outputs:

permut_lists_of_lists:

type = List of List of List of Files ,exists=True, desc=’swapped list of all correlation matrice files (in npy format) for each subject’, mandatory=True

Attributes:	always_run Should the interface be always run even if the inputs were not changed? Only applies to interfaces being run within a workflow context. can_resume Defines if the interface can reuse partial results after interruption. version interfaces should implement a version property

Methods

aggregate_outputs([runtime, needed_outputs])	Collate expected outputs and check for existence
help([returnhelp])	Prints class help
input_spec	alias of SwapListsInputSpec
load_inputs_from_json(json_file[, overwrite])	A convenient way to load pre-set inputs from a JSON file.
output_spec	alias of SwapListsOutputSpec
run([cwd, ignore_exception])	Execute this interface.
save_inputs_to_json(json_file)	A convenient way to save current inputs to a JSON file.

__init__(from_file=None, resource_monitor=None, ignore_exception=False, **inputs)¶

Subclasses must implement __init__

Methods

__init__([from_file, resource_monitor, …])	Subclasses must implement __init__
aggregate_outputs([runtime, needed_outputs])	Collate expected outputs and check for existence
help([returnhelp])	Prints class help
load_inputs_from_json(json_file[, overwrite])	A convenient way to load pre-set inputs from a JSON file.
run([cwd, ignore_exception])	Execute this interface.
save_inputs_to_json(json_file)	A convenient way to save current inputs to a JSON file.

Attributes

always_run	Should the interface be always run even if the inputs were not changed? Only applies to interfaces being run within a workflow context.
can_resume	Defines if the interface can reuse partial results after interruption.
references_
resource_monitor
version	interfaces should implement a version property