Perform pixel-shuffling on the input.
772875
def hybrid_forward(self, F, x):
        """"""
        # `transpose` doesn't support 8D, need other implementation
        f1, f2, f3 = self._factors
                                                              # (N, C*f1*f2*f3, D, H, W)
        x = F.reshape(x, (0, -4, -1, f1 * f2 * f3, 0, 0, 0))  # (N, C, f1*f2*f3, D, H, W)
        x = F.swapaxes(x, 2, 3)                               # (N, C, D, f1*f2*f3, H, W)
        x = F.reshape(x, (0, 0, 0, -4, f1, f2*f3, 0, 0))      # (N, C, D, f1, f2*f3, H, W)
        x = F.reshape(x, (0, 0, -3, 0, 0, 0))                 # (N, C, D*f1, f2*f3, H, W)
        x = F.swapaxes(x, 3, 4)                               # (N, C, D*f1, H, f2*f3, W)
        x = F.reshape(x, (0, 0, 0, 0, -4, f2, f3, 0))         # (N, C, D*f1, H, f2, f3, W)
        x = F.reshape(x, (0, 0, 0, -3, 0, 0))                 # (N, C, D*f1, H*f2, f3, W)
        x = F.swapaxes(x, 4, 5)                               # (N, C, D*f1, H*f2, W, f3)
        x = F.reshape(x, (0, 0, 0, 0, -3))                    # (N, C, D*f1, H*f2, W*f3)
        return x
501399
def shuffle(self):
        

        args = list(self)
        random.shuffle(args)

        self.clear()
        super(DogeDeque, self).__init__(args)
651315
def shuffle(seq, random=None):
    """
    if isinstance(seq, list):
        return ipshuffle(seq[:], random)
    elif isString(seq):
        # seq[0:0] == "" or  u""
        return seq[0:0].join(ipshuffle(list(seq)),random)
    else:
        return type(seq)(ipshuffle(list(seq),random))
309739
def next_frame_pixel_noise():
  """"""
  hparams = next_frame_basic_deterministic()
  hparams.add_hparam("video_modality_input_noise", 0.05)
  hparams.bottom["inputs"] = modalities.video_pixel_noise_bottom
  hparams.top["inputs"] = modalities.video_top
  return hparams
1155096
private static void shuffle(ArrayModifiableDBIDs ids, int ssize, int end, Random random) {
    ssize = ssize < end ? ssize : end; // Guard for choosing from tiny sets
    for(int i = 1; i < ssize; i++) {
      ids.swap(i - 1, i + random.nextInt(end - i));
    }
  }
532522
public static void flipHorizontal( GrayS32 input ) {
		int w2 = input.width/2;

		for( int y = 0; y < input.height; y++ ) {
			int index1 = input.getStartIndex() + y * input.getStride();
			int index2 = index1 + input.width-1;

			int end = index1 + w2;

			while( index1 < end ) {
				int tmp = input.data[index1];
				input.data[index1++] = input.data[index2];
				input.data[index2--] = (int)tmp;
			}
		}
	}
509935
def _random_crop(image, size):
  """"""
  bbox = tf.constant([0.0, 0.0, 1.0, 1.0], dtype=tf.float32, shape=[1, 1, 4])
  random_image, bbox = distorted_bounding_box_crop(
      image,
      bbox,
      min_object_covered=0.1,
      aspect_ratio_range=(3. / 4, 4. / 3.),
      area_range=(0.08, 1.0),
      max_attempts=1,
      scope=None)
  bad = _at_least_x_are_true(tf.shape(image), tf.shape(random_image), 3)

  image = tf.cond(
      bad, lambda: _center_crop(_do_scale(image, size), size),
      lambda: tf.image.resize_bicubic([random_image], [size, size])[0])
  return image
11350
function shuffle(v) {
  for (var j, x, i = v.length; i; j = parseInt(Math.random() * i), x = v[--i], v[i] = v[j], v[j] = x);
  return v;
}
447675
@Override
	public void process(GrayF32 input , GrayU8 output ) {
		inputPow2.reshape(input.width,input.height);
		inputMean.reshape(input.width,input.height);
		inputMeanPow2.reshape(input.width,input.height);
		inputPow2Mean.reshape(input.width,input.height);
		stdev.reshape(input.width,input.height);
		tmp.reshape(input.width,input.height);
		inputPow2.reshape(input.width,input.height);

		int radius = width.computeI(Math.min(input.width,input.height))/2;

		// mean of input image = E[X]
		BlurImageOps.mean(input, inputMean, radius, tmp, work);

		// standard deviation = sqrt( E[X^2] + E[X]^2)
		PixelMath.pow2(input, inputPow2);
		BlurImageOps.mean(inputPow2,inputPow2Mean,radius,tmp, work);
		PixelMath.pow2(inputMean,inputMeanPow2);
		PixelMath.subtract(inputPow2Mean, inputMeanPow2, stdev);
		PixelMath.sqrt(stdev, stdev);

		float R = ImageStatistics.max(stdev);

		if( down ) {
			BoofConcurrency.loopFor(0, input.height, y -> {
				int i = y * stdev.width;
				int indexIn = input.startIndex + y * input.stride;
				int indexOut = output.startIndex + y * output.stride;

				for (int x = 0; x < input.width; x++, i++) {
					// threshold = mean.*(1 + k * ((deviation/R)-1));
					float threshold = inputMean.data[i] * (1.0f + k * (stdev.data[i] / R - 1.0f));
					output.data[indexOut++] = (byte) (input.data[indexIn++] <= threshold ? 1 : 0);
				}
			});
		} else {
			BoofConcurrency.loopFor(0, input.height, y -> {
				int i = y * stdev.width;
				int indexIn = input.startIndex + y * input.stride;
				int indexOut = output.startIndex + y * output.stride;

				for (int x = 0; x < input.width; x++, i++) {
					// threshold = mean.*(1 + k * ((deviation/R)-1));
					float threshold = inputMean.data[i] * (1.0f + k * (stdev.data[i] / R - 1.0f));
					output.data[indexOut++] = (byte) (input.data[indexIn++] >= threshold ? 1 : 0);
				}
			});
		}
	}
936329
public static byte[] shuffle(byte[] input){
		for(int i=0; i<input.length; i++){
			int i2 = input[i];
			if(i2 < 0)
				i2 = 127 + Math.abs(i2);
			input[i] = shuffle[i2];
			//result of more shuffles could just be mapped to the first
//			i2 = input[i];
//			if(i2 < 0)
//				i2 = 127 + Math.abs(i2);
//			input[i] = (byte) shuffle2[i2];
//			i2 = input[i];
//			if(i2 < 0)
//				i2 = 127 + Math.abs(i2);
//			input[i] = (byte) shuffle3[i2];
		}
		return input;
	}
674378
def shuffle(self, times=1):
        
        for _ in xrange(times):
            random.shuffle(self.cards)
557434
public void reprocessInput() {
		if ( inputMethod == InputMethod.VIDEO ) {
			openVideo(true,inputFilePath);
		} else if( inputMethod == InputMethod.IMAGE ) {
			BufferedImage buff = inputStreams.get(0).getBufferedImage();
			openImage(true,new File(inputFilePath).getName(),buff);// TODO still does a pointless image conversion
		} else if( inputMethod == InputMethod.IMAGE_SET ) {
			openImageSet(inputFileSet);
		}
	}
838396
public static void addUniform(GrayS32 input, Random rand , int min , int max) {
		int range = max-min;

		int[] data = input.data;

		for (int y = 0; y < input.height; y++) {
			int index = input.getStartIndex() + y * input.getStride();
			for (int x = 0; x < input.width; x++) {
				int value = (data[index] ) + rand.nextInt(range)+min;
				data[index++] =  value;
			}
		}
	}
46417
def shuffle(self, random=None):
		""""""
		random_.shuffle(self._list, random=random)
		for i, elem in enumerate(self._list):
			self._dict[elem] = i
455008
public static void shuffle(long[] array) {
        for (int i = array.length - 1; i > 0; i--) {
            int j = Prng.nextInt(i + 1);
            // Swap array[i] and array[j]
            long tmp = array[i];
            array[i] = array[j];
            array[j] = tmp;
        }
    }
1002839
public static void shuffle(int[] intArray) {
		int swapPlace = -1;

		for(int i = 0; i < intArray.length; i++) {
			swapPlace = (int) (Math.random() * (intArray.length - 1 ));
			XORSwap.swap(intArray, i, swapPlace);
		}
	}
794835
private void update(I image) {
		computeCurrToInit_PixelTran();

		// only process a cropped portion to speed up processing
		RectangleLength2D_I32 box = DistortImageOps.boundBox(image.width, image.height,
				stitchedImage.width, stitchedImage.height,work, tranCurrToWorld);

		int x0 = box.x0;
		int y0 = box.y0;
		int x1 = box.x0 + box.width;
		int y1 = box.y0 + box.height;

		distorter.setModel(tranWorldToCurr);
		distorter.apply(image, stitchedImage,x0,y0,x1,y1);
	}