`numpy.testing._private.utils:_gen_alignment_data`

Signature

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

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

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

: 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