B ÛT•\ßã @s€ddlmZmZmZddlmZddlZyddlmZWne e fk rPYnXddl m Z ddl mZd d „Zd d d „ZdS)é)Úabsolute_importÚdivisionÚprint_function)ÚglobN)Úimreadé)ÚArrayé)ÚtokenizecCs|dS)N)N.©)Úxr r ú/lib/python3.7/site-packages/dask/array/image.pyÚadd_leading_dimensionsrcs܈pt‰tt|ƒƒ}|s$td|ƒ‚dt|ttjj|ƒƒ‰ˆ|dƒ‰ˆrTˆˆƒ‰‡‡fdd„t t |ƒƒDƒ}ˆrŠ‡‡fdd„|Dƒ}n‡fdd„|Dƒ}t t ||ƒƒ}dt |ƒft d d „ˆjDƒƒ}t|ˆ|ˆjƒS) aA Read a stack of images into a dask array Parameters ---------- filename: string A globstring like 'myfile.*.png' imread: function (optional) Optionally provide custom imread function. Function should expect a filename and produce a numpy array. Defaults to ``skimage.io.imread``. preprocess: function (optional) Optionally provide custom function to preprocess the image. Function should expect a numpy array for a single image. Examples -------- >>> from dask.array.image import imread >>> im = imread('2015-*-*.png') # doctest: +SKIP >>> im.shape # doctest: +SKIP (365, 1000, 1000, 3) Returns ------- Dask array of all images stacked along the first dimension. All images will be treated as individual chunks zNo files found under name %sz imread-%srcs"g|]}ˆ|fdtˆjƒ‘qS))r)ÚlenÚshape)Ú.0Úi)ÚnameÚsampler r ú <szimread..csg|]}tˆˆ|fff‘qSr )r)rÚfn)rÚ preprocessr r r>scsg|]}tˆ|ff‘qSr )r)rr)rr r rAs)rcss|] }|fVqdS)Nr )rÚdr r r ú Eszimread..)Ú sk_imreadÚsortedrÚ ValueErrorr ÚmapÚosÚpathÚgetmtimeÚrangerÚdictÚzipÚtuplerrZdtype)ÚfilenamerrÚ filenamesÚkeysÚvaluesZdskZchunksr )rrrrr rs"      "r)NN)Z __future__rrrrrZ skimage.iorrÚAttributeErrorÚ ImportErrorZcorerÚbaser rr r r r Ús