podpac.algorithm.Arange

class podpac.algorithm.Arange(**kwargs)[source]

Bases: podpac.core.algorithm.algorithm.Algorithm

A simple test node that gives each value in the output a number.

Methods

__init__(**kwargs)

Do not overwrite me

algorithm(inputs)

Uses np.arange to give each value in output a unique number

create_output_array(coords[, data])

Initialize an output data array

eval(coordinates[, output])

Evalutes this nodes using the supplied coordinates.

eval_group(group)

Evaluate the node for each of the coordinates in the group.

find_coordinates()

Get the available native coordinates for the inputs to the Node.

get_cache(key[, coordinates])

Get cached data for this node.

has_cache(key[, coordinates])

Check for cached data for this node.

init()

Overwrite this method if a node needs to do any additional initialization after the standard initialization.

put_cache(data, key[, coordinates, overwrite])

Cache data for this node.

rem_cache(key[, coordinates, mode, all_cache])

Clear cached data for this node.

Attributes

base_definition

Base node definition.

base_ref

Default pipeline node reference/name in pipeline node definitions

cache_ctrl

A trait whose value must be an instance of a specified class.

cache_output

A boolean (True, False) trait.

cache_update

A boolean (True, False) trait.

definition

Full pipeline definition for this node.

dtype

A trait which allows any value.

hash

json

definition for this node in json format

json_pretty

pipeline

Create a pipeline node from this node

style

A trait whose value must be an instance of a specified class.

units

A trait for unicode strings.

Members

__init__(**kwargs)

Do not overwrite me

algorithm(inputs)[source]

Uses np.arange to give each value in output a unique number

Parameters

inputs (dict) – Unused, should be empty for this algorithm.

Returns

A row-majored numbered array of the requested size.

Return type

UnitsDataArray