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@@ -56,15 +56,15 @@ export default function drawSpatialImageRegl(regl) {
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a_position: [
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0,
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0,
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0 + 2000,
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0 + 1921,
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0,
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0,
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0 + 2000,
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0,
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0 + 2000,
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0 + 2000,
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0 + 1921,
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0,
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0 + 2000,
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0 + 1921,
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0 + 2000,
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],
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},
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@@ -73,7 +73,8 @@ export default function drawSpatialImageRegl(regl) {
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projView: regl.prop("projView"),
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u_image: regl.prop("spatialImageAsTexture"),
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color: [1, 0, 0, 1],
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u_resolution: [2000, 2000],
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u_resolution: [1921, 2000],
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// translate:
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},
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count: 6,
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@@ -122,6 +122,7 @@ class Graph extends React.Component {
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positions[2 * i] = p[0];
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positions[2 * i + 1] = p[1];
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}
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console.log({ transformed: positions });
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return positions;
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});
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@@ -759,6 +760,7 @@ class Graph extends React.Component {
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const { positions, colors, flags, height, width } = asyncProps;
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this.cachedAsyncProps = asyncProps;
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const { pointBuffer, colorBuffer, flagBuffer } = this.state;
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console.log({ pos2: positions });
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let needToRenderCanvas = false;
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if (height !== prevAsyncProps?.height || width !== prevAsyncProps?.width) {
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@@ -420,7 +420,7 @@ def spatial_image_get(request, data_adaptor):
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return abort_and_log(HTTPStatus.BAD_REQUEST, f"spatial information does not contain requested resolution '{resolution}'")
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response_image = io.BytesIO()
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img = np.flipud(spatial[library_id]["images"][resolution])
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img = spatial[library_id]["images"][resolution]
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matplotlib.pyplot.imsave(response_image, img)
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response_image.seek(0)
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@@ -363,7 +363,10 @@ class DataAdaptor(metaclass=ABCMeta):
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print(f"scale {scale}, translate {translate}")
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normalized_layout = normalized_layout.astype(dtype=np.float32)
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A = embedding * 0.17011142
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A = np.column_stack([A[:, 0] / 1921, A[:, 1] / 2000])
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normalized_layout = A.astype(dtype=np.float32)
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return normalized_layout
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def layout_to_fbs_matrix(self, fields):
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