a t¼DfÌã @svddlmZddlZddlmZzddlmZWneefyFYn0ddl m Z ddl m Z dd„Z d d d „ZdS) é)Ú annotationsN)Úglob©Úimread)ÚArray)ÚtokenizecCs|dS)N)N.©)Úxrrú]/nfs/NAS7/SABIOD/METHODE/ermites/ermites_venv/lib/python3.9/site-packages/dask/array/image.pyÚadd_leading_dimensionsr cs܈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) aPRead 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. Each separate image file will be treated as an individual chunk. zNo files found under name %sz imread-%srcs"g|]}ˆ|fdtˆjƒ‘qS))r)ÚlenÚshape)Ú.0Úi)ÚnameÚsamplerr Ú <ózimread..csg|]}tˆˆ|fff‘qSr©r ©rÚfn)rÚ preprocessrr r>scsg|]}tˆ|ff‘qSrrrrrr rBr)écss|] }|fVqdS)Nr)rÚdrrr Ú Erzimread..)Ú sk_imreadÚsortedrÚ ValueErrorrÚmapÚosÚpathÚgetmtimeÚranger ÚdictÚzipÚtupler rZdtype)ÚfilenamerrÚ filenamesÚkeysÚvaluesZdskÚchunksr)rrrrr rs"    ÿ"r)NN)Ú __future__rrrZ skimage.iorrÚAttributeErrorÚ ImportErrorZdask.array.corerZ dask.baserr rrrr Ús