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task 1 correction
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@ -277,7 +277,7 @@ def calculate_label_representatives(fd_collection, label, feature_model):
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img_fds[feature_model]
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).flatten() # get the specific feature model's feature vector
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for img_fds in fd_collection.find(
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{"true_label": label, "$mod": [2,0]}
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{"true_label": label, "image_id": {"$mod": [2,0]}}
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) # repeat for all images
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]
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