32:I[196793,["/_next/static/chunks/075vy1fh16gh5.js?dpl=nogit-1790172947","/_next/static/chunks/060-i_62-vse1.js?dpl=nogit-1790172947","/_next/static/chunks/2epfhfe5im7r6.js?dpl=nogit-1790172947","/_next/static/chunks/2yhf9vq09dqoa.js?dpl=nogit-1790172947","/_next/static/chunks/0p4rexedanx97.js?dpl=nogit-1790172947","/_next/static/chunks/0u008gt6051u7.js?dpl=nogit-1790172947","/_next/static/chunks/1odwrcl12kfnl.js?dpl=nogit-1790172947","/_next/static/chunks/0zkcxwtbsqliz.js?dpl=nogit-1790172947","/_next/static/chunks/316m85d5s15pp.js?dpl=nogit-1790172947","/_next/static/chunks/2_itvjgqsumf8.js?dpl=nogit-1790172947","/_next/static/chunks/2wptr05dvvad-.js?dpl=nogit-1790172947","/_next/static/chunks/3r5hh4t0jf4es.js?dpl=nogit-1790172947","/_next/static/chunks/3ml3vooxhiupb.js?dpl=nogit-1790172947","/_next/static/chunks/1h4wccj42vygd.js?dpl=nogit-1790172947","/_next/static/chunks/12xoy6h_w_le6.js?dpl=nogit-1790172947","/_next/static/chunks/2os7nxouq91eq.js?dpl=nogit-1790172947","/_next/static/chunks/3ht89vb0p09bm.js?dpl=nogit-1790172947","/_next/static/chunks/3ocoqwe4aht_u.js?dpl=nogit-1790172947","/_next/static/chunks/32qmkt01ta8b2.js?dpl=nogit-1790172947","/_next/static/chunks/3jpl-42mbad5n.js?dpl=nogit-1790172947","/_next/static/chunks/1bbv7o2-m-0ni.js?dpl=nogit-1790172947","/_next/static/chunks/097slu7xaeast.js?dpl=nogit-1790172947","/_next/static/chunks/0shhrr8zrsvma.js?dpl=nogit-1790172947","/_next/static/chunks/0j1q2_fxvgx28.js?dpl=nogit-1790172947","/_next/static/chunks/14kf-an-d2n-e.js?dpl=nogit-1790172947","/_next/static/chunks/0v4byuex1x38h.js?dpl=nogit-1790172947","/_next/static/chunks/0mgw5qzpc_1eu.js?dpl=nogit-1790172947","/_next/static/chunks/09_ag440ieydu.js?dpl=nogit-1790172947","/_next/static/chunks/0gvj8_2lj8s8m.js?dpl=nogit-1790172947","/_next/static/chunks/04zr-wqafvwoa.js?dpl=nogit-1790172947","/_next/static/chunks/0llqhg6-bxn_b.js?dpl=nogit-1790172947","/_next/static/chunks/2ydqdr10ndcei.js?dpl=nogit-1790172947","/_next/static/chunks/1ku-vdy4ggo41.js?dpl=nogit-1790172947","/_next/static/chunks/2dx-vzwyw9a3g.js?dpl=nogit-1790172947","/_next/static/chunks/32i_8fssnjnil.js?dpl=nogit-1790172947","/_next/static/chunks/2eoustw-nfu98.js?dpl=nogit-1790172947","/_next/static/chunks/1oz24qjw4uq89.js?dpl=nogit-1790172947","/_next/static/chunks/0k-y_4mcfub-p.js?dpl=nogit-1790172947","/_next/static/chunks/0itrgb6vzmww0.js?dpl=nogit-1790172947","/_next/static/chunks/00ol_16j3a2oa.js?dpl=nogit-1790172947","/_next/static/chunks/0odk_0my0_b5-.js?dpl=nogit-1790172947","/_next/static/chunks/0dbk553rgd90s.js?dpl=nogit-1790172947","/_next/static/chunks/0aq3eylxphp57.js?dpl=nogit-1790172947","/_next/static/chunks/2srfni4gkx9g6.js?dpl=nogit-1790172947","/_next/static/chunks/3k8iy5tn80za8.js?dpl=nogit-1790172947","/_next/static/chunks/2hccrcvndngge.js?dpl=nogit-1790172947","/_next/static/chunks/3h4suq-9gmzwh.js?dpl=nogit-1790172947","/_next/static/chunks/12mv6p8rwcl5o.js?dpl=nogit-1790172947","/_next/static/chunks/1bt82o91jhwht.js?dpl=nogit-1790172947","/_next/static/chunks/1nnw6yom6-qhh.js?dpl=nogit-1790172947","/_next/static/chunks/2vg15qyptj-oc.js?dpl=nogit-1790172947","/_next/static/chunks/2_vtmw66zj1j7.js?dpl=nogit-1790172947","/_next/static/chunks/0ep4vrgb00zlb.js?dpl=nogit-1790172947","/_next/static/chunks/2s1hkstzlmj2o.js?dpl=nogit-1790172947","/_next/static/chunks/2wp4esku6l29e.js?dpl=nogit-1790172947","/_next/static/chunks/43ajf4ofaeu5y.js?dpl=nogit-1790172947","/_next/static/chunks/1lsxkfxy262n-.js?dpl=nogit-1790172947","/_next/static/chunks/0zg1om_k0m5zv.js?dpl=nogit-1790172947","/_next/static/chunks/1__39-dgg7p8-.js?dpl=nogit-1790172947","/_next/static/chunks/2gb4dscyul4eg.js?dpl=nogit-1790172947","/_next/static/chunks/1y5xmyjgu8grb.js?dpl=nogit-1790172947","/_next/static/chunks/2y341-r8ncizo.js?dpl=nogit-1790172947","/_next/static/chunks/0kpd0j3i_7yor.js?dpl=nogit-1790172947","/_next/static/chunks/1ksyn9m68446d.js?dpl=nogit-1790172947","/_next/static/chunks/0sf7rskx57j6y.js?dpl=nogit-1790172947","/_next/static/chunks/3wqp-h5xnebw9.js?dpl=nogit-1790172947","/_next/static/chunks/3ghbpnibq2fva.js?dpl=nogit-1790172947","/_next/static/chunks/30dopbgd1dkf9.js?dpl=nogit-1790172947"],"Gingerbread"] 34:I[647935,["/_next/static/chunks/075vy1fh16gh5.js?dpl=nogit-1790172947","/_next/static/chunks/060-i_62-vse1.js?dpl=nogit-1790172947","/_next/static/chunks/2epfhfe5im7r6.js?dpl=nogit-1790172947","/_next/static/chunks/2yhf9vq09dqoa.js?dpl=nogit-1790172947","/_next/static/chunks/0p4rexedanx97.js?dpl=nogit-1790172947","/_next/static/chunks/0u008gt6051u7.js?dpl=nogit-1790172947","/_next/static/chunks/1odwrcl12kfnl.js?dpl=nogit-1790172947","/_next/static/chunks/0zkcxwtbsqliz.js?dpl=nogit-1790172947","/_next/static/chunks/316m85d5s15pp.js?dpl=nogit-1790172947","/_next/static/chunks/2_itvjgqsumf8.js?dpl=nogit-1790172947","/_next/static/chunks/2wptr05dvvad-.js?dpl=nogit-1790172947","/_next/static/chunks/3r5hh4t0jf4es.js?dpl=nogit-1790172947","/_next/static/chunks/3ml3vooxhiupb.js?dpl=nogit-1790172947","/_next/static/chunks/1h4wccj42vygd.js?dpl=nogit-1790172947","/_next/static/chunks/12xoy6h_w_le6.js?dpl=nogit-1790172947","/_next/static/chunks/2os7nxouq91eq.js?dpl=nogit-1790172947","/_next/static/chunks/3ht89vb0p09bm.js?dpl=nogit-1790172947","/_next/static/chunks/3ocoqwe4aht_u.js?dpl=nogit-1790172947","/_next/static/chunks/32qmkt01ta8b2.js?dpl=nogit-1790172947","/_next/static/chunks/3jpl-42mbad5n.js?dpl=nogit-1790172947","/_next/static/chunks/1bbv7o2-m-0ni.js?dpl=nogit-1790172947","/_next/static/chunks/097slu7xaeast.js?dpl=nogit-1790172947","/_next/static/chunks/0shhrr8zrsvma.js?dpl=nogit-1790172947","/_next/static/chunks/0j1q2_fxvgx28.js?dpl=nogit-1790172947","/_next/static/chunks/14kf-an-d2n-e.js?dpl=nogit-1790172947","/_next/static/chunks/0v4byuex1x38h.js?dpl=nogit-1790172947","/_next/static/chunks/0mgw5qzpc_1eu.js?dpl=nogit-1790172947","/_next/static/chunks/09_ag440ieydu.js?dpl=nogit-1790172947","/_next/static/chunks/0gvj8_2lj8s8m.js?dpl=nogit-1790172947","/_next/static/chunks/04zr-wqafvwoa.js?dpl=nogit-1790172947","/_next/static/chunks/0llqhg6-bxn_b.js?dpl=nogit-1790172947","/_next/static/chunks/2ydqdr10ndcei.js?dpl=nogit-1790172947","/_next/static/chunks/1ku-vdy4ggo41.js?dpl=nogit-1790172947","/_next/static/chunks/2dx-vzwyw9a3g.js?dpl=nogit-1790172947","/_next/static/chunks/32i_8fssnjnil.js?dpl=nogit-1790172947","/_next/static/chunks/2eoustw-nfu98.js?dpl=nogit-1790172947","/_next/static/chunks/1oz24qjw4uq89.js?dpl=nogit-1790172947","/_next/static/chunks/0k-y_4mcfub-p.js?dpl=nogit-1790172947","/_next/static/chunks/0itrgb6vzmww0.js?dpl=nogit-1790172947","/_next/static/chunks/00ol_16j3a2oa.js?dpl=nogit-1790172947","/_next/static/chunks/0odk_0my0_b5-.js?dpl=nogit-1790172947","/_next/static/chunks/0dbk553rgd90s.js?dpl=nogit-1790172947","/_next/static/chunks/0aq3eylxphp57.js?dpl=nogit-1790172947","/_next/static/chunks/2srfni4gkx9g6.js?dpl=nogit-1790172947","/_next/static/chunks/3k8iy5tn80za8.js?dpl=nogit-1790172947","/_next/static/chunks/2hccrcvndngge.js?dpl=nogit-1790172947","/_next/static/chunks/3h4suq-9gmzwh.js?dpl=nogit-1790172947","/_next/static/chunks/12mv6p8rwcl5o.js?dpl=nogit-1790172947","/_next/static/chunks/1bt82o91jhwht.js?dpl=nogit-1790172947","/_next/static/chunks/1nnw6yom6-qhh.js?dpl=nogit-1790172947","/_next/static/chunks/2vg15qyptj-oc.js?dpl=nogit-1790172947","/_next/static/chunks/2_vtmw66zj1j7.js?dpl=nogit-1790172947","/_next/static/chunks/0ep4vrgb00zlb.js?dpl=nogit-1790172947","/_next/static/chunks/2s1hkstzlmj2o.js?dpl=nogit-1790172947","/_next/static/chunks/2wp4esku6l29e.js?dpl=nogit-1790172947","/_next/static/chunks/43ajf4ofaeu5y.js?dpl=nogit-1790172947","/_next/static/chunks/1lsxkfxy262n-.js?dpl=nogit-1790172947","/_next/static/chunks/0zg1om_k0m5zv.js?dpl=nogit-1790172947","/_next/static/chunks/1__39-dgg7p8-.js?dpl=nogit-1790172947","/_next/static/chunks/2gb4dscyul4eg.js?dpl=nogit-1790172947","/_next/static/chunks/1y5xmyjgu8grb.js?dpl=nogit-1790172947","/_next/static/chunks/2y341-r8ncizo.js?dpl=nogit-1790172947","/_next/static/chunks/0kpd0j3i_7yor.js?dpl=nogit-1790172947","/_next/static/chunks/1ksyn9m68446d.js?dpl=nogit-1790172947","/_next/static/chunks/0sf7rskx57j6y.js?dpl=nogit-1790172947","/_next/static/chunks/3wqp-h5xnebw9.js?dpl=nogit-1790172947","/_next/static/chunks/3ghbpnibq2fva.js?dpl=nogit-1790172947","/_next/static/chunks/30dopbgd1dkf9.js?dpl=nogit-1790172947"],"RecordResourceResume"] 35:I[830476,["/_next/static/chunks/075vy1fh16gh5.js?dpl=nogit-1790172947","/_next/static/chunks/060-i_62-vse1.js?dpl=nogit-1790172947","/_next/static/chunks/2epfhfe5im7r6.js?dpl=nogit-1790172947","/_next/static/chunks/2yhf9vq09dqoa.js?dpl=nogit-1790172947","/_next/static/chunks/0p4rexedanx97.js?dpl=nogit-1790172947","/_next/static/chunks/0u008gt6051u7.js?dpl=nogit-1790172947","/_next/static/chunks/1odwrcl12kfnl.js?dpl=nogit-1790172947","/_next/static/chunks/0zkcxwtbsqliz.js?dpl=nogit-1790172947","/_next/static/chunks/316m85d5s15pp.js?dpl=nogit-1790172947","/_next/static/chunks/2_itvjgqsumf8.js?dpl=nogit-1790172947","/_next/static/chunks/2wptr05dvvad-.js?dpl=nogit-1790172947","/_next/static/chunks/3r5hh4t0jf4es.js?dpl=nogit-1790172947","/_next/static/chunks/3ml3vooxhiupb.js?dpl=nogit-1790172947","/_next/static/chunks/1h4wccj42vygd.js?dpl=nogit-1790172947","/_next/static/chunks/12xoy6h_w_le6.js?dpl=nogit-1790172947","/_next/static/chunks/2os7nxouq91eq.js?dpl=nogit-1790172947","/_next/static/chunks/3ht89vb0p09bm.js?dpl=nogit-1790172947","/_next/static/chunks/3ocoqwe4aht_u.js?dpl=nogit-1790172947","/_next/static/chunks/32qmkt01ta8b2.js?dpl=nogit-1790172947","/_next/static/chunks/3jpl-42mbad5n.js?dpl=nogit-1790172947","/_next/static/chunks/1bbv7o2-m-0ni.js?dpl=nogit-1790172947","/_next/static/chunks/097slu7xaeast.js?dpl=nogit-1790172947","/_next/static/chunks/0shhrr8zrsvma.js?dpl=nogit-1790172947","/_next/static/chunks/0j1q2_fxvgx28.js?dpl=nogit-1790172947","/_next/static/chunks/14kf-an-d2n-e.js?dpl=nogit-1790172947","/_next/static/chunks/0v4byuex1x38h.js?dpl=nogit-1790172947","/_next/static/chunks/0mgw5qzpc_1eu.js?dpl=nogit-1790172947","/_next/static/chunks/09_ag440ieydu.js?dpl=nogit-1790172947","/_next/static/chunks/0gvj8_2lj8s8m.js?dpl=nogit-1790172947","/_next/static/chunks/04zr-wqafvwoa.js?dpl=nogit-1790172947","/_next/static/chunks/0llqhg6-bxn_b.js?dpl=nogit-1790172947","/_next/static/chunks/2ydqdr10ndcei.js?dpl=nogit-1790172947","/_next/static/chunks/1ku-vdy4ggo41.js?dpl=nogit-1790172947","/_next/static/chunks/2dx-vzwyw9a3g.js?dpl=nogit-1790172947","/_next/static/chunks/32i_8fssnjnil.js?dpl=nogit-1790172947","/_next/static/chunks/2eoustw-nfu98.js?dpl=nogit-1790172947","/_next/static/chunks/1oz24qjw4uq89.js?dpl=nogit-1790172947","/_next/static/chunks/0k-y_4mcfub-p.js?dpl=nogit-1790172947","/_next/static/chunks/0itrgb6vzmww0.js?dpl=nogit-1790172947","/_next/static/chunks/00ol_16j3a2oa.js?dpl=nogit-1790172947","/_next/static/chunks/0odk_0my0_b5-.js?dpl=nogit-1790172947","/_next/static/chunks/0dbk553rgd90s.js?dpl=nogit-1790172947","/_next/static/chunks/0aq3eylxphp57.js?dpl=nogit-1790172947","/_next/static/chunks/2srfni4gkx9g6.js?dpl=nogit-1790172947","/_next/static/chunks/3k8iy5tn80za8.js?dpl=nogit-1790172947","/_next/static/chunks/2hccrcvndngge.js?dpl=nogit-1790172947","/_next/static/chunks/3h4suq-9gmzwh.js?dpl=nogit-1790172947","/_next/static/chunks/12mv6p8rwcl5o.js?dpl=nogit-1790172947","/_next/static/chunks/1bt82o91jhwht.js?dpl=nogit-1790172947","/_next/static/chunks/1nnw6yom6-qhh.js?dpl=nogit-1790172947","/_next/static/chunks/2vg15qyptj-oc.js?dpl=nogit-1790172947","/_next/static/chunks/2_vtmw66zj1j7.js?dpl=nogit-1790172947","/_next/static/chunks/0ep4vrgb00zlb.js?dpl=nogit-1790172947","/_next/static/chunks/2s1hkstzlmj2o.js?dpl=nogit-1790172947","/_next/static/chunks/2wp4esku6l29e.js?dpl=nogit-1790172947","/_next/static/chunks/43ajf4ofaeu5y.js?dpl=nogit-1790172947","/_next/static/chunks/1lsxkfxy262n-.js?dpl=nogit-1790172947","/_next/static/chunks/0zg1om_k0m5zv.js?dpl=nogit-1790172947","/_next/static/chunks/1__39-dgg7p8-.js?dpl=nogit-1790172947","/_next/static/chunks/2gb4dscyul4eg.js?dpl=nogit-1790172947","/_next/static/chunks/1y5xmyjgu8grb.js?dpl=nogit-1790172947","/_next/static/chunks/2y341-r8ncizo.js?dpl=nogit-1790172947","/_next/static/chunks/0kpd0j3i_7yor.js?dpl=nogit-1790172947","/_next/static/chunks/1ksyn9m68446d.js?dpl=nogit-1790172947","/_next/static/chunks/0sf7rskx57j6y.js?dpl=nogit-1790172947","/_next/static/chunks/3wqp-h5xnebw9.js?dpl=nogit-1790172947","/_next/static/chunks/3ghbpnibq2fva.js?dpl=nogit-1790172947","/_next/static/chunks/30dopbgd1dkf9.js?dpl=nogit-1790172947"],"FlashcardAccessBranch"] 36:I[315438,["/_next/static/chunks/075vy1fh16gh5.js?dpl=nogit-1790172947","/_next/static/chunks/060-i_62-vse1.js?dpl=nogit-1790172947","/_next/static/chunks/2epfhfe5im7r6.js?dpl=nogit-1790172947","/_next/static/chunks/2yhf9vq09dqoa.js?dpl=nogit-1790172947","/_next/static/chunks/0p4rexedanx97.js?dpl=nogit-1790172947","/_next/static/chunks/0u008gt6051u7.js?dpl=nogit-1790172947","/_next/static/chunks/1odwrcl12kfnl.js?dpl=nogit-1790172947","/_next/static/chunks/0zkcxwtbsqliz.js?dpl=nogit-1790172947","/_next/static/chunks/316m85d5s15pp.js?dpl=nogit-1790172947","/_next/static/chunks/2_itvjgqsumf8.js?dpl=nogit-1790172947","/_next/static/chunks/2wptr05dvvad-.js?dpl=nogit-1790172947","/_next/static/chunks/3r5hh4t0jf4es.js?dpl=nogit-1790172947","/_next/static/chunks/3ml3vooxhiupb.js?dpl=nogit-1790172947","/_next/static/chunks/1h4wccj42vygd.js?dpl=nogit-1790172947","/_next/static/chunks/12xoy6h_w_le6.js?dpl=nogit-1790172947","/_next/static/chunks/2os7nxouq91eq.js?dpl=nogit-1790172947","/_next/static/chunks/3ht89vb0p09bm.js?dpl=nogit-1790172947","/_next/static/chunks/3ocoqwe4aht_u.js?dpl=nogit-1790172947","/_next/static/chunks/32qmkt01ta8b2.js?dpl=nogit-1790172947","/_next/static/chunks/3jpl-42mbad5n.js?dpl=nogit-1790172947","/_next/static/chunks/1bbv7o2-m-0ni.js?dpl=nogit-1790172947","/_next/static/chunks/097slu7xaeast.js?dpl=nogit-1790172947","/_next/static/chunks/0shhrr8zrsvma.js?dpl=nogit-1790172947","/_next/static/chunks/0j1q2_fxvgx28.js?dpl=nogit-1790172947","/_next/static/chunks/14kf-an-d2n-e.js?dpl=nogit-1790172947","/_next/static/chunks/0v4byuex1x38h.js?dpl=nogit-1790172947","/_next/static/chunks/0mgw5qzpc_1eu.js?dpl=nogit-1790172947","/_next/static/chunks/09_ag440ieydu.js?dpl=nogit-1790172947","/_next/static/chunks/0gvj8_2lj8s8m.js?dpl=nogit-1790172947","/_next/static/chunks/04zr-wqafvwoa.js?dpl=nogit-1790172947","/_next/static/chunks/0llqhg6-bxn_b.js?dpl=nogit-1790172947","/_next/static/chunks/2ydqdr10ndcei.js?dpl=nogit-1790172947","/_next/static/chunks/1ku-vdy4ggo41.js?dpl=nogit-1790172947","/_next/static/chunks/2dx-vzwyw9a3g.js?dpl=nogit-1790172947","/_next/static/chunks/32i_8fssnjnil.js?dpl=nogit-1790172947","/_next/static/chunks/2eoustw-nfu98.js?dpl=nogit-1790172947","/_next/static/chunks/1oz24qjw4uq89.js?dpl=nogit-1790172947","/_next/static/chunks/0k-y_4mcfub-p.js?dpl=nogit-1790172947","/_next/static/chunks/0itrgb6vzmww0.js?dpl=nogit-1790172947","/_next/static/chunks/00ol_16j3a2oa.js?dpl=nogit-1790172947","/_next/static/chunks/0odk_0my0_b5-.js?dpl=nogit-1790172947","/_next/static/chunks/0dbk553rgd90s.js?dpl=nogit-1790172947","/_next/static/chunks/0aq3eylxphp57.js?dpl=nogit-1790172947","/_next/static/chunks/2srfni4gkx9g6.js?dpl=nogit-1790172947","/_next/static/chunks/3k8iy5tn80za8.js?dpl=nogit-1790172947","/_next/static/chunks/2hccrcvndngge.js?dpl=nogit-1790172947","/_next/static/chunks/3h4suq-9gmzwh.js?dpl=nogit-1790172947","/_next/static/chunks/12mv6p8rwcl5o.js?dpl=nogit-1790172947","/_next/static/chunks/1bt82o91jhwht.js?dpl=nogit-1790172947","/_next/static/chunks/1nnw6yom6-qhh.js?dpl=nogit-1790172947","/_next/static/chunks/2vg15qyptj-oc.js?dpl=nogit-1790172947","/_next/static/chunks/2_vtmw66zj1j7.js?dpl=nogit-1790172947","/_next/static/chunks/0ep4vrgb00zlb.js?dpl=nogit-1790172947","/_next/static/chunks/2s1hkstzlmj2o.js?dpl=nogit-1790172947","/_next/static/chunks/2wp4esku6l29e.js?dpl=nogit-1790172947","/_next/static/chunks/43ajf4ofaeu5y.js?dpl=nogit-1790172947","/_next/static/chunks/1lsxkfxy262n-.js?dpl=nogit-1790172947","/_next/static/chunks/0zg1om_k0m5zv.js?dpl=nogit-1790172947","/_next/static/chunks/1__39-dgg7p8-.js?dpl=nogit-1790172947","/_next/static/chunks/2gb4dscyul4eg.js?dpl=nogit-1790172947","/_next/static/chunks/1y5xmyjgu8grb.js?dpl=nogit-1790172947","/_next/static/chunks/2y341-r8ncizo.js?dpl=nogit-1790172947","/_next/static/chunks/0kpd0j3i_7yor.js?dpl=nogit-1790172947","/_next/static/chunks/1ksyn9m68446d.js?dpl=nogit-1790172947","/_next/static/chunks/0sf7rskx57j6y.js?dpl=nogit-1790172947","/_next/static/chunks/3wqp-h5xnebw9.js?dpl=nogit-1790172947","/_next/static/chunks/3ghbpnibq2fva.js?dpl=nogit-1790172947","/_next/static/chunks/30dopbgd1dkf9.js?dpl=nogit-1790172947"],"TopicFlashcardRunner"] 23:[["$","$L32",null,{"feature":"flashcards"}],"$L33",["$","$L34",null,{"href":"/a-level/computer-science/aqa/writing-functional-programs/flashcards","label":"Writing functional programs","subjectCode":"a_level_computer_science__aqa","surface":"flashcards"}],["$","$L35",null,{"runner":["$","div",null,{"className":"min-h-0 flex-1 overflow-hidden bg-background","children":["$","$L36",null,{"decks":[{"id":"2f71979e-416f-4e0d-812b-8b9690e63ae8","title":"Writing functional programs Flashcards","topicId":"1cea9c7b-1a29-5a9d-bd4c-d2b1181ba215","topicSlug":"writing-functional-programs","cards":[{"id":"b13e4a2c-fdc1-4968-9a5d-e1e82b0331ff","cardType":"basic","points":1,"front":"In functional programming, what is described instead of changing variables step by step?","back":"Transformations from inputs to outputs.","mcqOptions":[{"text":"Transformations from inputs to outputs.","correct":true,"explanation":"Functional programming focuses on describing how input data is transformed into output data, rather than specifying a sequence of variable changes and assignments."},{"text":"Instructions executed in a fixed sequence.","correct":false,"explanation":"A fixed sequence of instructions describes imperative programming, where commands update program state step by step. Functional programming instead describes transformations from inputs to outputs."},{"text":"Variables updated after each operation.","correct":false,"explanation":"Updating variables after each operation is the step-by-step state change typical of imperative programming. Functional programming instead describes transformations from inputs to outputs."},{"text":"Memory locations changed by assignments.","correct":false,"explanation":"Changing memory locations through assignments emphasises mutable state and imperative execution. Functional programming instead describes transformations from inputs to outputs."}]},{"id":"d2e16ee0-9671-4cbd-89eb-1a4d7d36dbe3","cardType":"cloze","points":null,"front":"A first-class function can be used as a [ ] and returned from [ ].","back":"A first-class function can be used as a value and returned from another function.","mcqOptions":[{"text":"A first-class function can be used as a value and returned from another function.","correct":true,"explanation":"A first-class function is treated like other values: it can be stored, passed as an argument, used in expressions, and returned by another function."},{"text":"A first-class function can be used as a variable and returned from another value.","correct":false,"explanation":"Functions can be stored in variables, but the defining property is that they are treated as values and can be returned from another function. A value cannot return a function."},{"text":"A first-class function can be used as a statement and returned from another function.","correct":false,"explanation":"A function may be called in a statement, but first-class status means it can be used as a value. It can then be returned from another function."},{"text":"A first-class function can be used as a value and returned from another value.","correct":false,"explanation":"The first blank correctly identifies functions as values, but a value does not return a function. The complete definition requires a function to be returned from another function."}]},{"id":"980e42e3-8347-4476-ba29-d3fa525e170b","cardType":"cloze","points":null,"front":"An anonymous function, or lambda, has [ ] and is useful when needed [ ].","back":"An anonymous function, or lambda, has no permanent name and is useful when needed once.","mcqOptions":[{"text":"An anonymous function, or lambda, has no permanent name and is useful when needed once.","correct":true,"explanation":"An anonymous function has no permanent identifier and is commonly created for a single immediate use, such as being passed directly to a higher-order function."},{"text":"An anonymous function, or lambda, has a permanent name and is useful when needed once.","correct":false,"explanation":"Giving a function a permanent name makes it named rather than anonymous. A lambda has no permanent name and is often useful when needed once."},{"text":"An anonymous function, or lambda, has no permanent name and is useful when needed repeatedly.","correct":false,"explanation":"A lambda can technically be reused, but this description misses the usual reason for using one in this context. It has no permanent name and is useful when needed once."},{"text":"An anonymous function, or lambda, has an automatically generated name and is useful when needed once.","correct":false,"explanation":"An automatically generated identifier would still give the function a name, conflicting with the definition of anonymous. The correct description is no permanent name and use when needed once."}]},{"id":"29d65916-c152-4b2f-a559-1dd35009bd17","cardType":"basic","points":1,"front":"What does x -> x * 2 return for input x?","back":"x * 2.","mcqOptions":[{"text":"x * 2.","correct":true,"explanation":"The arrow function takes x as its input and returns the expression on the right of the arrow, so its result is x * 2."},{"text":"x + 2.","correct":false,"explanation":"This adds two to the input rather than multiplying it by two. The expression after the arrow is x * 2, which is the function's returned result."},{"text":"x - 2.","correct":false,"explanation":"The minus operator would subtract two from x, but the function uses the multiplication operator. Therefore the returned expression is x * 2."},{"text":"x / 2.","correct":false,"explanation":"Division by two is a different operation from multiplication by two. Reading the operator correctly gives the returned expression x * 2."}]},{"id":"9cbb31f8-d2c5-4b32-936c-d3ba138d6d8f","cardType":"cloze","points":null,"front":"A function is higher-order if it takes a function as an [ ] or returns a function as a [ ].","back":"A function is higher-order if it takes a function as an argument or returns a function as a result.","mcqOptions":[{"text":"A function is higher-order if it takes a function as an argument or returns a function as a result.","correct":true,"explanation":"A higher-order function either accepts a function as an argument, returns a function as its result, or both. This allows functions to be combined and manipulated as data."},{"text":"A function is higher-order if it takes a function as an output or returns a function as a parameter.","correct":false,"explanation":"These roles are reversed: an output is produced, while a parameter or argument is supplied to a function. The correct terms are function as an argument and function as a result."},{"text":"A function is higher-order if it takes a function as an argument or returns a function as a parameter.","correct":false,"explanation":"A parameter is an input position, not something returned by a function. A higher-order function takes a function as an argument or returns one as a result."},{"text":"A function is higher-order if it takes a function as an operator or returns a function as a value.","correct":false,"explanation":"An operator performs an operation and is not the general term for a supplied function. The definition uses argument for the input function and result for the returned function."}]},{"id":"cf7c2f98-37e8-434b-8cec-c3cdf507e7ab","cardType":"basic","points":1,"front":"Why is applyTwice(f, x) higher-order?","back":"It takes f as a function argument.","mcqOptions":[{"text":"It takes f as a function argument.","correct":true,"explanation":"applyTwice is higher-order because it receives f, a function, as an argument. It can then apply that function to x more than once."},{"text":"It takes x as a function argument.","correct":false,"explanation":"In applyTwice(f, x), x is normally the data value being processed, not the function. The higher-order feature is taking f as a function argument."},{"text":"It returns f as a new function.","correct":false,"explanation":"The name applyTwice indicates that it applies f, rather than returning it as a new function. It is higher-order because it takes f as a function argument."},{"text":"It applies f only to a constant.","correct":false,"explanation":"The function is not higher-order because its input is constant; it is higher-order because a function is supplied as data. Specifically, it takes f as a function argument."}]},{"id":"ac9e3729-08a7-43c4-9c37-ce63a5848f9f","cardType":"basic","points":1,"front":"Why is makeAdder(n) higher-order?","back":"It returns a new function.","mcqOptions":[{"text":"It returns a new function.","correct":true,"explanation":"makeAdder(n) is higher-order because calling it produces another function, usually one that remembers n and adds it to a later argument."},{"text":"It returns a new value.","correct":false,"explanation":"Returning an ordinary value does not by itself make a function higher-order. makeAdder(n) is higher-order because it returns a new function."},{"text":"It takes a new function.","correct":false,"explanation":"This describes receiving a function as an argument, but makeAdder(n) receives n and creates a function. Its higher-order property is that it returns a new function."},{"text":"It changes a new variable.","correct":false,"explanation":"Changing a variable concerns mutable state and does not define a higher-order function. makeAdder(n) is higher-order because its result is a new function."}]},{"id":"3adf5885-071d-4762-a7b1-f6d8445e0987","cardType":"basic","points":2,"front":"Why are higher-order functions useful when processing data structures?","back":"They separate the operation from the processing method.","mcqOptions":[{"text":"They separate the operation from the processing method.","correct":true,"explanation":"Higher-order functions allow the operation, such as mapping or filtering, to be supplied separately from the general way the data structure is processed. This improves reuse and abstraction."},{"text":"They combine the operation with the processing method.","correct":false,"explanation":"Combining the operation with the processing method makes code more tied to one task and less reusable. Higher-order functions separate the operation from the processing method."},{"text":"They separate the data structure from the processing method.","correct":false,"explanation":"The data structure may be abstracted, but the key benefit described here is separating what operation is performed from how processing is carried out. The separated element is the operation."},{"text":"They separate the operation from the data values.","correct":false,"explanation":"Separating an operation from data values is not the specific abstraction being tested. Higher-order functions separate the operation from the processing method, allowing the method to be reused."}]},{"id":"5c3918ce-0ed7-4235-80d2-e6c60eee80b1","cardType":"cloze","points":null,"front":"map applies a supplied function to [ ] and returns a [ ].","back":"map applies a supplied function to every element and returns a new list.","mcqOptions":[{"text":"map applies a supplied function to every element and returns a new list.","correct":true,"explanation":"The mapping function transforms each element independently, producing a new list with one output element for every input element."},{"text":"map applies a supplied function to the first element and returns a new list.","correct":false,"explanation":"This confuses mapping with processing a single item. map applies the function to every element and collects all the results in a new list."},{"text":"map applies a supplied function to every element and returns the original list.","correct":false,"explanation":"This assumes that mapping modifies and returns the input list. In functional programming, map produces a new list containing the transformed elements."},{"text":"map applies a supplied function to matching elements and returns a new list.","correct":false,"explanation":"Selecting only elements that meet a condition describes filter, not map. A mapping function is applied to every element to produce a new list."}]},{"id":"98ab37af-f3b7-4147-ae98-9087df8817d7","cardType":"basic","points":1,"front":"What is map(x -> x * 2, [1, 2, 3])?","back":"[2, 4, 6].","mcqOptions":[{"text":"[2, 4, 6].","correct":true,"explanation":"The function multiplies each input element by 2, so 1 becomes 2, 2 becomes 4, and 3 becomes 6."},{"text":"[1, 2, 3].","correct":false,"explanation":"This leaves the input unchanged instead of applying the function. Multiplying each element by 2 produces [2, 4, 6]."},{"text":"[2, 4].","correct":false,"explanation":"This incorrectly omits the result for the third element. map preserves list length, so transforming all three inputs produces [2, 4, 6]."},{"text":"[1, 4, 9].","correct":false,"explanation":"These values come from squaring each element rather than multiplying it by 2. The supplied function therefore produces [2, 4, 6]."}]},{"id":"29c6e2d1-ac36-4411-9197-a1fb84a795ca","cardType":"basic","points":1,"front":"What happens to list length after map?","back":"It stays the same.","mcqOptions":[{"text":"It stays the same.","correct":true,"explanation":"A mapping operation produces exactly one output for each input element, so the new list contains the same number of elements as the original."},{"text":"It always becomes shorter.","correct":false,"explanation":"This confuses map with filter, which can remove elements. Mapping produces one result per input, so the list length stays the same."},{"text":"It always becomes longer.","correct":false,"explanation":"A standard map does not add extra elements. Each input corresponds to exactly one output, so the length stays the same."},{"text":"It changes unpredictably.","correct":false,"explanation":"The output length is determined directly by the input length, not by the transformed values. One output per input means the length stays the same."}]},{"id":"3c6f60b8-4291-4827-b37d-989d754238e6","cardType":"cloze","points":null,"front":"A predicate returns a Boolean value: [ ] or [ ].","back":"A predicate returns a Boolean value: TRUE or FALSE.","mcqOptions":[{"text":"A predicate returns a Boolean value: TRUE or FALSE.","correct":true,"explanation":"A predicate tests a condition and returns one of the two Boolean truth values, allowing operations such as filter to decide whether an element qualifies."},{"text":"A predicate returns a Boolean value: TRUE or NULL.","correct":false,"explanation":"This confuses a missing value with a Boolean result. A predicate must report whether its condition holds by returning either TRUE or FALSE."},{"text":"A predicate returns a Boolean value: FALSE or NULL.","correct":false,"explanation":"NULL represents an absent or undefined value rather than the positive outcome of a test. A predicate returns either TRUE or FALSE."},{"text":"A predicate returns a Boolean value: YES or NO.","correct":false,"explanation":"YES and NO are informal words rather than the Boolean values specified here. Predicates return the formal truth values TRUE or FALSE."}]},{"id":"4ad2be19-f0fc-4659-b8a0-108b1b8931ab","cardType":"basic","points":1,"front":"What is filter(x -> x >= 10, [3, 8, 10, 15])?","back":"[10, 15].","mcqOptions":[{"text":"[10, 15].","correct":true,"explanation":"The predicate keeps values greater than or equal to 10. Both 10 and 15 satisfy it, while 3 and 8 do not."},{"text":"[3, 8].","correct":false,"explanation":"This reverses the comparison and keeps values below 10. The predicate is greater than or equal to 10, so the result is [10, 15]."},{"text":"[15].","correct":false,"explanation":"This treats the condition as strictly greater than 10 and wrongly excludes 10. Because the operator is >=, the result is [10, 15]."},{"text":"[3, 8, 10, 15].","correct":false,"explanation":"This keeps every input value without testing the predicate. Only 10 and 15 are greater than or equal to 10, giving [10, 15]."}]},{"id":"25cda8fe-b9c4-415e-8d02-b31fa2a6ef6f","cardType":"basic","points":1,"front":"Compared with map, what may filter do to list length?","back":"It may make the list shorter.","mcqOptions":[{"text":"It may make the list shorter.","correct":true,"explanation":"A filter discards elements whose predicate result is FALSE, so its output may contain fewer elements than the input, unlike map."},{"text":"It may make the list longer.","correct":false,"explanation":"Filtering can only retain or discard existing elements; it cannot create additional ones. It may therefore make the list shorter, but never longer."},{"text":"It always keeps the list unchanged.","correct":false,"explanation":"This describes the length behaviour of map, not filter. Elements failing the predicate are removed, so filtering may make the list shorter."},{"text":"It always makes the list shorter.","correct":false,"explanation":"This overlooks the case where every element satisfies the predicate. Filtering may make the list shorter, but its length remains unchanged when all elements pass."}]},{"id":"25bf7a51-a1c3-40fd-8ef9-1e3c1f21a3e0","cardType":"cloze","points":null,"front":"reduce/fold repeatedly applies a [ ] to reduce a list to a [ ].","back":"reduce/fold repeatedly applies a combining function to reduce a list to a single value.","mcqOptions":[{"text":"reduce/fold repeatedly applies a combining function to reduce a list to a single value.","correct":true,"explanation":"Each fold step combines the accumulator with another list element. Repeating this process across the list ultimately produces one accumulated value."},{"text":"reduce/fold repeatedly applies a mapping function to reduce a list to a single value.","correct":false,"explanation":"A mapping function transforms each element separately and normally produces another list. A fold instead uses a combining function to produce a single accumulated value."},{"text":"reduce/fold repeatedly applies a combining function to reduce a list to a new list.","correct":false,"explanation":"This mistakes folding for an operation such as map. A standard fold repeatedly combines elements and the accumulator to produce a single value."},{"text":"reduce/fold repeatedly applies a predicate to reduce a list to a filtered list.","correct":false,"explanation":"Applying a predicate to retain selected elements describes filter. A fold repeatedly applies a combining function and reduces the list to a single value."}]},{"id":"09950b48-5df6-4e14-b9db-3219eeb44cb1","cardType":"basic","points":1,"front":"After each fold step, where is the result built up so far stored?","back":"In the accumulator.","mcqOptions":[{"text":"In the accumulator.","correct":true,"explanation":"The accumulator carries the partial result from one fold step to the next, allowing the final result to be built progressively across the list."},{"text":"In the input list.","correct":false,"explanation":"This assumes the original list is modified during folding. The partial result is stored separately in the accumulator and updated after each step."},{"text":"In the predicate.","correct":false,"explanation":"A predicate evaluates a condition and returns a Boolean; it does not store a running result. During a fold, that result is held in the accumulator."},{"text":"In the output list.","correct":false,"explanation":"This confuses folding with list-producing operations such as map. A fold builds its result in an accumulator, usually ending with a single value."}]},{"id":"ae87e37b-b5fe-432a-bc2c-c316202a0111","cardType":"basic","points":1,"front":"For summing numbers with a fold, what is the usual starting accumulator?","back":"0.","mcqOptions":[{"text":"0.","correct":true,"explanation":"Zero is the additive identity, so beginning with it does not alter the total as each number is added by the fold."},{"text":"1.","correct":false,"explanation":"One is the identity value for multiplication, not addition. A summing fold normally starts with 0, the additive identity, to avoid increasing the total."},{"text":"-1.","correct":false,"explanation":"Starting at negative one introduces an unwanted offset, making the final sum one too small. A summing fold usually starts with 0."},{"text":"None.","correct":false,"explanation":"A null value cannot normally be added directly to the items and may cause a type error. The standard numerical accumulator for summation is 0."}]},{"id":"8365d1b0-d5e8-43cd-92e3-b76da11441fc","cardType":"basic","points":1,"front":"Fold [4, 7, 2] using accumulator + item from 0. What is the result?","back":"13.","mcqOptions":[{"text":"13.","correct":true,"explanation":"Starting from 0, the fold calculates 0 + 4 + 7 + 2, giving a final accumulator value of 13."},{"text":"9.","correct":false,"explanation":"This results from omitting the first item, 4, and adding only 7 + 2. A complete fold includes every item, producing 13."},{"text":"11.","correct":false,"explanation":"This is the subtotal after processing 4 and 7, but it omits the final item, 2. Processing all three values gives 13."},{"text":"17.","correct":false,"explanation":"This double-counts the first item by effectively starting at 4 and then adding the entire list. Starting from 0 gives 13."}]},{"id":"4d962436-bce0-4f35-af46-593a7abb02da","cardType":"basic","points":1,"front":"When can changing fold direction or item order change the result?","back":"When the operation is not order-independent.","mcqOptions":[{"text":"When the operation is not order-independent.","correct":true,"explanation":"Operations such as subtraction and division depend on operand order, so reversing the fold direction or rearranging items can produce a different result."},{"text":"When the operation is always order-independent.","correct":false,"explanation":"Order-independent operations are unaffected by rearrangement. Results can change when the operation is not order-independent, as with subtraction or division."},{"text":"When the accumulator is initialised to zero.","correct":false,"explanation":"The starting accumulator alone does not determine whether order matters. Direction or ordering changes results when the operation is not order-independent."},{"text":"When every item is the same data type.","correct":false,"explanation":"Matching data types makes items compatible with an operation but does not make that operation order-independent. Subtraction can still produce different results when reordered."}]},{"id":"448aa95b-dd77-4142-a3fd-7456afbb9492","cardType":"cloze","points":null,"front":"In a pipeline, one operation’s output becomes the [ ] to the [ ].","back":"In a pipeline, one operation’s output becomes the input to the next operation.","mcqOptions":[{"text":"In a pipeline, one operation’s output becomes the input to the next operation.","correct":true,"explanation":"A functional pipeline connects operations in sequence, passing each stage’s result directly into the following stage for further processing."},{"text":"In a pipeline, one operation’s output becomes the result to the previous operation.","correct":false,"explanation":"Data normally flows forwards rather than backwards through a pipeline. Each operation’s output supplies the input to the next operation."},{"text":"In a pipeline, one operation’s output becomes the input to the previous operation.","correct":false,"explanation":"Although the output is used as input, it is passed forwards to the next operation, not returned to the previous operation."},{"text":"In a pipeline, one operation’s output becomes the output to the next operation.","correct":false,"explanation":"The value produced by one stage enters the following stage before that stage generates its own output. It therefore becomes the next operation’s input."}]},{"id":"3b9fb8b7-458d-4055-bb20-df695084ec57","cardType":"basic","points":3,"front":"What is the usual simple functional pipeline order?","back":"

filter selects data
map transforms data
fold/reduce combines data

","mcqOptions":[{"text":"

filter selects data
map transforms data
fold/reduce combines data

","correct":true,"explanation":"A typical pipeline first retains relevant values, then applies a transformation to each retained value, and finally combines them into one result."},{"text":"

filter transforms data
map selects data
fold/reduce combines data

","correct":false,"explanation":"This swaps the purposes of the first two higher-order functions. Filtering selects values, mapping transforms each value, and folding combines the resulting values."},{"text":"

filter selects data
fold/reduce transforms data
map combines data

","correct":false,"explanation":"This confuses mapping with reduction. After filtering selects data, mapping transforms individual values and folding combines them into an accumulated result."},{"text":"

map selects data
filter transforms data
fold/reduce combines data

","correct":false,"explanation":"Mapping does not normally decide which values remain, and filtering does not transform them. The usual sequence is filter, map, then fold/reduce."}]},{"id":"05e7b323-790e-443b-a8a7-a035a775fec9","cardType":"basic","points":1,"front":"In the scores pipeline, what is left after filtering score >= 60 from [42, 76, 58, 91, 63]?","back":"[76, 91, 63].","mcqOptions":[{"text":"[76, 91, 63].","correct":true,"explanation":"The values 76, 91, and 63 all meet the inclusive threshold of at least 60; 42 and 58 do not."},{"text":"[76, 91].","correct":false,"explanation":"This incorrectly excludes 63, perhaps by treating the threshold as 70. Since 63 >= 60, the filtered list is [76, 91, 63]."},{"text":"[42, 58].","correct":false,"explanation":"This reverses the comparison and keeps scores below 60. The condition retains scores at least 60, giving [76, 91, 63]."},{"text":"[76, 58, 91, 63].","correct":false,"explanation":"This wrongly includes 58, which is two below the threshold. Only values greater than or equal to 60 remain: [76, 91, 63]."}]},{"id":"7f9292d4-1fad-4177-abb2-a650c5dbda4f","cardType":"basic","points":1,"front":"What is map(score -> score + 2, [76, 91, 63])?","back":"[78, 93, 65].","mcqOptions":[{"text":"[78, 93, 65].","correct":true,"explanation":"The map applies the same function to every item, adding 2 to produce 78, 93, and 65 respectively."},{"text":"[76, 91, 63].","correct":false,"explanation":"This leaves the input unchanged and therefore fails to apply the mapping function. Adding 2 to each value produces [78, 93, 65]."},{"text":"[77, 92, 64].","correct":false,"explanation":"This adds only 1 to each score instead of the specified 2. Applying the given transformation produces [78, 93, 65]."},{"text":"[80, 95, 67].","correct":false,"explanation":"This applies the increase twice, adding 4 to each input. The function is applied once per item, giving [78, 93, 65]."}]},{"id":"44778bc7-6e84-4467-ae9b-0e08f783bd9d","cardType":"basic","points":1,"front":"What is the final total after folding [78, 93, 65] with addition from 0?","back":"236.","mcqOptions":[{"text":"236.","correct":true,"explanation":"The fold begins at 0 and adds every value: 0 + 78 + 93 + 65 = 236."},{"text":"158.","correct":false,"explanation":"This adds only 93 and 65, omitting the first value, 78. Including every item gives a total of 236."},{"text":"171.","correct":false,"explanation":"This is the subtotal after adding 78 and 93, but it omits 65. The complete fold produces 236."},{"text":"314.","correct":false,"explanation":"This double-counts 78, adding it to the correct total a second time. Each list item is processed once, so the result is 236."}]}]}],"examCountdown":{"examDate":"2027-06-07","paperLabel":"Paper 1"},"heading":"Writing functional programs","title":"Writing functional programs Flashcards","topbar":{"backHref":"/a-level/computer-science/aqa/flashcards"},"topicSidebar":"$L37"}]}],"topicId":"1cea9c7b-1a29-5a9d-bd4c-d2b1181ba215","walled":"$L38"}],"$L39","$L3a"]