birddlmZddlZddlmZ ddlmZddl m Z ddl m Z dZ d dZy#eef$rYwxYw) ) annotationsN)glob)imread)Array)tokenizec |dS)N)N.)xs K/home/cdr/jupyterlab/.venv/lib/python3.12/site-packages/dask/array/image.pyadd_leading_dimensionr s Y<c|xst}tt|}|std|zdt |t t jj|z}||d}|r||}tt|Dcgc]}||fdt|jzz!}}|r|Dcgc]}t|||fff} }n|Dcgc] }t||ff} }tt|| } dt|zftd|jDz} t!| || |j"Scc}wcc}wcc}w)aPRead a stack of images into a dask array Parameters ---------- filename: string A globstring like 'myfile.*.png' imread: function (optional) Optionally provide custom imread function. Function should expect a filename and produce a numpy array. Defaults to ``skimage.io.imread``. preprocess: function (optional) Optionally provide custom function to preprocess the image. Function should expect a numpy array for a single image. Examples -------- >>> from dask.array.image import imread >>> im = imread('2015-*-*.png') # doctest: +SKIP >>> im.shape # doctest: +SKIP (365, 1000, 1000, 3) Returns ------- Dask array of all images stacked along the first dimension. Each separate image file will be treated as an individual chunk. zNo files found under name %sz imread-%sr)r)c3"K|]}|f yw)Nr ).0ds r zimread..Es-Iqqd-Is ) sk_imreadsortedr ValueErrorrmapospathgetmtimerangelenshaper dictziptuplerdtype) filenamer preprocess filenamesnamesampleikeysfnvaluesdskchunkss r rrsI< yFtH~&I 7(BCC )S1A1A9-MN ND IaL !FF#:?I:O PQT1Is6<<00 0 PD PJS DF "Z&"$> ?  CLLB(62,7LL s4 !CS^# %-IFLL-I(I IF dFFLL 11 Q Ms $D=7EE)NN) __future__rrr skimage.iorrAttributeError ImportErrordask.array.corer dask.baserr r r r r3sA"  ."42  $  s ,66