Adapt counts
to new h5 file format
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@ -70,9 +70,12 @@ def read_detector_data(filepath, cami_meta=None):
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with h5py.File(filepath, "r") as h5f:
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counts = h5f["/entry1/area_detector2/data"][:].astype(np.float64)
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# reshape images (counts) to a correct shape (2006 issue)
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n, cols, rows = counts.shape
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counts = counts.reshape(n, rows, cols)
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if "/entry1/experiment_identifier" in h5f: # old format
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# reshape images (counts) to a correct shape (2006 issue)
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counts = counts.reshape(n, rows, cols)
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else:
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counts = counts.swapaxes(1, 2)
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scan = {"counts": counts, "counts_err": np.sqrt(np.maximum(counts, 1))}
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scan["original_filename"] = filepath
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