From 7b42ac30b6667a163fa7beae09a04aec06e42d9e Mon Sep 17 00:00:00 2001
From: Sue Ann Koay <koay@princeton.edu>
Date: Wed, 21 Sep 2016 12:38:19 -0400
Subject: [PATCH] Added required dependencies.

---
 .gitignore    |  3 +++
 MovieSlider.m |  2 +-
 rebin.m       | 36 ++++++++++++++++++++++++++++++++++++
 3 files changed, 40 insertions(+), 1 deletion(-)
 create mode 100644 .gitignore
 create mode 100644 rebin.m

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..05ee704
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,3 @@
+#ignore thumbnails created by windows
+Thumbs.db
+*.asv
diff --git a/MovieSlider.m b/MovieSlider.m
index 7173327..59c433b 100644
--- a/MovieSlider.m
+++ b/MovieSlider.m
@@ -442,7 +442,7 @@ function setContrast(obj, contrast)
         saturation          = MovieSlider.CONTRAST_RANGE(obj.contrastIndex);
         sel                 = [1, 1 + find(diff(obj.pixelCDF) ~= 0)];
         
-        iValue              = binarySearch(obj.pixelCDF(sel), [saturation, 1-saturation], 0, 0.5);
+        iValue              = interp1(obj.pixelCDF(sel), 1:numel(sel), [saturation, 1-saturation], 'linear', 'extrap');
         obj.pixelRange      = obj.pixelValue([1 end]);
         inRange             = iValue > 1 & iValue < numel(sel);
         iValue              = iValue(inRange);
diff --git a/rebin.m b/rebin.m
new file mode 100644
index 0000000..21abbdf
--- /dev/null
+++ b/rebin.m
@@ -0,0 +1,36 @@
+function rebinned = rebin(data, grouping, dimensions, aggregateFcn, varargin)
+
+  if nargin < 3 || isempty(dimensions)
+    [~,dimensions]          = max(size(data));
+  end
+  if nargin < 4 || isempty(aggregateFcn)
+    aggregateFcn            = @mean;
+  end
+  
+  for dim = dimensions
+    original                = size(data);
+    standardized            = [ prod(original(1:dim-1))               ...
+                              , original(dim)                         ...
+                              , prod(original(dim+1:end))             ...
+                              ];
+    data                    = reshape(data, standardized);
+
+    numGroups               = ceil(original(dim) / grouping);
+    if islogical(data)
+      rebinned              = false(standardized(1), numGroups, standardized(end));
+    elseif isinteger(data)
+      rebinned              = zeros(standardized(1), numGroups, standardized(end), 'like', data);
+    else
+      rebinned              = nan(standardized(1), numGroups, standardized(end), 'like', data);
+    end
+    iSource                 = 1;
+    for iGroup = 1:numGroups
+      rebinned(:,iGroup,:)  = aggregateFcn(data(:,iSource:min(iSource+grouping-1, end),:), 2, varargin{:});
+      iSource               = iSource + grouping;
+    end
+    rebinned                = reshape(rebinned, [original(1:dim-1), numGroups, original(dim+1:end)]);
+    
+    data                    = rebinned;
+  end
+  
+end