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I'm trying to create an ICNS (including a 1024x1024 image) programmatically. Currently I'm creating an NSImage , then I create CGImageRef objects with the appropriate resolution, finally I'm adding them to an icon by using CGImageDestinationAddImage() . Peter Hosey has helped me create '@2x' images already, but the sizes of the images don't wanna be set. This is the code (still a bit messy, sourcefile represents the path to the image) : NSSize sizes[10]; sizes[0] = NSMakeSize(1024,1024); sizes[1] = NSMakeSize(512,512); sizes[2] = NSMakeSize(512,512); sizes[3] = NSMakeSize(256,256); sizes[4] =

I think the title is pretty self-explanatory, now... I have been looking for a way of limiting the size of files uploaded in Alfresco 4.2.c through Share. I'm surprised there isn't any mechanism provided out-of-the-box, looks to me a pretty basic feature. After some investigation the only way I see to make it possible is by implementing custom policy or behavior, according to what's discussed here: http://forums.alfresco.com/forum/developer-discussions/web-content-services/limit-file-upload-size-34d-10272011-1416 Do anybody knows any other (simpler) approaches? EDIT: As Andreas Steffan

In windows lets say i'm using the recv function to receive data from a socket. I'm curious how big would an optimal buffer be? I could make it 1024 bytes or I could make it 51200 bytes, or bigger. I'm wondering which one would be better for performance. This doesn't only apply to the recv function, lets say im reading a large text file, do i want a very large buffer, or a smaller buffer? THe operating system performs its own buffering, so the size of your buffer does not really matter. the performance penalty lies in the function call: a 1 byte buffer will be inefficient because it will

[转载]PyTorch中permute的用法 来源： https://blog.csdn.net/york1996/article/details/81876886 permute(dims) 将tensor的维度换位。 参数：参数是一系列的整数，代表原来张量的维度。比如三维就有0，1，2这些dimension。 例： import torch import numpy as np a=np.array([[[1,2,3],[4,5,6]]]) unpermuted=torch.tensor(a) print(unpermuted.size()) # ——> torch.Size([1, 2, 3]) permuted=unpermuted.permute(2,0,1) print(permuted.size()) # ——> torch.Size([3, 1, 2]) 再比如图片img的size比如是（28，28，3）就可以利用img.permute(2,0,1)得到一个size为（3，28，28）的tensor。 利用这个函数permute（0，2，1）可以把Tensor([[[1,2,3],[4,5,6]]]) 转换成 tensor([[[1., 4.], [2., 5.], [3., 6.]]]) 如果使用view，可以得到 tensor([[[1., 2.], [3.,

I searched for 2 hours now, but it's still not clear if it's possible or not in OL3. I would like my icons to be fixed size (not to the screen, but to the image map I'm using). I mean, it should cover the same area even if I'm zoomed out, and not covering the half of the map (like I was using a circle polygon, but I have complex Icons so I have to use it as point features). Is there any solution to it? Like in QGIS: MAP UNITS. I already have these: var jelekStyle = function(feature, resolution) { if(feature.get('tipus')=== 'falu') { icon = '00_ikonok/falu.png', size = [115, 233], scale = 0.05,

I would like to monitor the basic quality of the figures produced in R on individual pages such as byte size of each page, ... I can now do only quality assurance of average pages, see the following chapter about it. I think there must be something builtin for the task than average measures. Code which produces 4 pages in Rplots.pdf where I would like to know the byte size of each page in an output here; any other statistics of the page outputs is also welcome; you can get the basic memory monitoring by objects here but I would like it to correspond to the outputs in PDF # https://stat.ethz.ch