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merge upstream changes from neuroglancer main #12
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…ndering with unequal chunk sizes (google#632) * fix: pass correct chunk size to 3D histogram * feat: more accurately distribute samples in 3D into chunks for histogram calculation * fix: remove discard in 3D histogram for display purposes this means the histogram now reflects the underlying data more * refactor: cleaner var names and sum * refactor: clearer variable naming for histogram instances * fix: formatting
…rlHash (google#644) without a maxWait value, debounce can cause important state changes to be lost if there is high rate of state change between the important change and a page reload mouse movement causes state changes and is probably the main reason this can happen
TensorStore encodes chunks of shape (x_size, y_size, z_size, c_size) with width=x_size*y_size, height=z_size, while cloud-volume uses width=x_size, height=y_size*z_size. With this change, Neuroglancer will accept any width/height as long as `width * height = x_size * y_size * s_zize`. This loose checking was already used for the JPEG format. Fixes google/tensorstore#196
* fix: correct deletion of old queries * feat(framerate): framerate fixes when application errors occur * feat: store the frame number with the delta * refactor: easier management of the query pool
…en hovering inside the ikonate svg with a default title (google#633)
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