_gen_alignment_data(dtype=<class 'numpy.float32'>, type='binary', max_size=24)

Parameters

dtype : dtype

data type to produce

type : string

'unary': create data for unary operations, creates one input

and output array

'binary': create data for unary operations, creates two input

and output array

max_size : integer

maximum size of data to produce

Returns

if type is 'unary' yields one output, one input array and a message

containing information on the data

if type is 'binary' yields one output array, two input array and a message

containing information on the data

generator producing data with different alignment and offsets to test simd vectorization

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them

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GitHub : /numpy/testing/_private/utils.py#1853
type: <class 'function'>
Commit: