o Nrf†ã@s$ddlZddlZddlZdd„ZdS)éNc Csji}t|ƒr/t ¡t dd¡tt |¡ƒ}tt |¡ƒ}Wdƒn1s)wYntj}tj}t  |¡s<|nd|d<t  |¡sG|nd|d<t  d¡j }t  d¡j }t  t  |¡¡dk}t|jƒ}|d kro|jd nd }|} |dkr{| ¡} |s¡||kr¡||kr¡||kr¡||kr¡| t |  d¡¡ d ¡|dd œ¡|S| t |  d ¡¡ d ¡|d d œ¡|S)aÀ Format raw vector data into a more structured tile containing either float16 or float32 data along with a dtype to differentiate between the two. Parameters ---------- tile_data_array: np.array An array of values Returns ------- tile_data: {'dense': str, 'dtype': str} The tile data reformatted to use float16 or float32 as the datatype. The dtype indicates which format is chosen. Úignorez All-NaN (slice|axis) encounteredNÚNaNZ min_valueZ max_valueZfloat16réézutf-8)ZdenseÚsizeZdtypeZfloat32)ÚlenÚwarningsÚcatch_warningsÚfilterwarningsÚfloatÚnpZnanmaxZnanminÚnanÚisnanZfinfoÚminÚmaxÚsumÚshapeÚflattenÚupdateÚbase64Ú b64encodeZastypeÚdecode) ÚdataZ tile_dataZ max_denseZ min_denseZmin_f16Zmax_f16Zhas_nanZn_dimrÚfdata©rú]/var/www/html/software/conda/envs/catlas/lib/python3.10/site-packages/clodius/tiles/format.pyÚformat_dense_tilesP  ü€   ÿýÿøýÿr)rrÚnumpyr rrrrrÚs