graphpype.nodes.graph_stats.ShuffleMatrix

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

Compute randomisation of matrix, keeping the same distribution

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

Inputs:

original_matrix_file:
type = File, exists=True, desc=’original matrix in npy format’, mandatory=True
seed:
type = Int, default = -1, desc=’value for seed’, mandatory=True, usedefault = True

Outputs:

shuffled_matrix_file:

type = File, exists=True, desc=’shuffled matrix in npy format’, 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 ShuffleMatrixInputSpec
load_inputs_from_json(json_file[, overwrite]) A convenient way to load pre-set inputs from a JSON file.
output_spec alias of ShuffleMatrixOutputSpec
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