ó ¦–Õ\c@`s¢ddlmZmZmZddlmZddlZyddlmZWne e fk renXddl m Z ddl mZd „Zddd „ZdS( i(tabsolute_importtdivisiontprint_function(tglobN(timreadi(tArrayi(ttokenizecC`s|dS(N.(N.(tNone(tx((s/lib/python2.7/site-packages/dask/array/image.pytadd_leading_dimensionsc C`sh|p t}tt|ƒƒ}|s7td|ƒ‚ndt|ttjj|ƒƒ}||dƒ}|r~||ƒ}ngt t |ƒƒD]#}||fdt |j ƒ^q‘}|rīg|D]}t |||fff^qĒ} n%g|D]}t ||ff^qõ} t t|| ƒƒ} dt |ƒftd„|j Dƒƒ} t| || |jƒS(sA 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 sNo files found under name %ss imread-%siics`s|]}|fVqdS(N((t.0td((s/lib/python2.7/site-packages/dask/array/image.pys Es(i(i(t sk_imreadtsortedRt ValueErrorRtmaptostpathtgetmtimetrangetlentshapeR tdicttzipttupleRtdtype( tfilenameRt preprocesst filenamestnametsampletitkeystfntvaluestdsktchunks((s/lib/python2.7/site-packages/dask/array/image.pyRs" "<+"*(t __future__RRRRRt skimage.ioRR tAttributeErrort ImportErrortcoreRtbaseRR R(((s/lib/python2.7/site-packages/dask/array/image.pyts