dpr/models/biencoder.py [182:198]:
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            if shuffle:
                random.shuffle(neg_ctxs)
                random.shuffle(hard_neg_ctxs)

            if hard_neg_fallback and len(hard_neg_ctxs) == 0:
                hard_neg_ctxs = neg_ctxs[0:num_hard_negatives]

            neg_ctxs = neg_ctxs[0:num_other_negatives]
            hard_neg_ctxs = hard_neg_ctxs[0:num_hard_negatives]

            all_ctxs = [positive_ctx] + neg_ctxs + hard_neg_ctxs
            hard_negatives_start_idx = 1
            hard_negatives_end_idx = 1 + len(hard_neg_ctxs)

            current_ctxs_len = len(ctx_tensors)

            sample_ctxs_tensors = [
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dpr/models/biencoder.py [280:296]:
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            if shuffle:
                random.shuffle(neg_ctxs)
                random.shuffle(hard_neg_ctxs)

            if hard_neg_fallback and len(hard_neg_ctxs) == 0:
                hard_neg_ctxs = neg_ctxs[0:num_hard_negatives]

            neg_ctxs = neg_ctxs[0:num_other_negatives]
            hard_neg_ctxs = hard_neg_ctxs[0:num_hard_negatives]

            all_ctxs = [positive_ctx] + neg_ctxs + hard_neg_ctxs
            hard_negatives_start_idx = 1
            hard_negatives_end_idx = 1 + len(hard_neg_ctxs)

            current_ctxs_len = len(ctx_tensors)

            sample_ctxs_tensors = [
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