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  "query": "\"building energy forecasting\" machine learning in:description,readme stars:>=10000"
311
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312
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313
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314
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315
  "query": "\"ride demand prediction\" machine learning in:description,readme stars:>=10000"
316
  },
317
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318
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319
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320
  "query": "\"smart grid state estimation\" machine learning in:description,readme stars:>=10000"
321
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322
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323
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324
  "cursor": null,
325
  "query": "\"traffic trajectory prediction\" machine learning in:description,readme stars:>=10000"
326
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327
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328
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329
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330
  "query": "\"wind power forecasting\" machine learning in:description,readme stars:>=10000"
331
  },
332
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333
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334
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335
  "query": "\"acoustic scene classification\" in:readme stars:>=10000"
336
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337
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338
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339
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340
  "query": "\"audio anomaly detection\" in:readme stars:>=10000"
341
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342
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343
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344
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345
  "query": "\"automatic speech recognition\" in:readme stars:>=10000"
346
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347
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348
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349
  "cursor": null,
350
  "query": "\"audio captioning\" in:readme stars:>=10000"
351
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352
  "audio-audio-classification": {
353
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354
  "cursor": null,
355
  "query": "\"audio classification\" in:readme stars:>=10000"
356
  },
357
  "audio-audio-question-answering": {
358
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359
  "cursor": null,
360
  "query": "\"audio question answering\" in:readme stars:>=10000"
361
  },
362
  "audio-audio-super-resolution": {
363
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364
  "cursor": null,
365
  "query": "\"audio super-resolution\" in:readme stars:>=10000"
366
  },
367
  "audio-generation": {
368
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369
  "cursor": null,
370
  "query": "\"audio generation\" in:readme stars:>=10000"
371
  },
372
  "audio-keyword-spotting": {
373
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374
  "cursor": null,
375
  "query": "\"keyword spotting\" audio in:readme stars:>=10000"
376
  },
377
  "audio-music-generation": {
378
- "complete": false,
379
  "cursor": null,
380
  "query": "\"music generation\" in:readme stars:>=10000"
381
  },
382
  "audio-music-information-retrieval": {
383
- "complete": false,
384
  "cursor": null,
385
  "query": "\"music information retrieval\" in:readme stars:>=10000"
386
  },
387
  "audio-music-recommendation": {
388
- "complete": false,
389
  "cursor": null,
390
  "query": "\"music recommendation\" in:readme stars:>=10000"
391
  },
392
  "audio-music-source-separation": {
393
- "complete": false,
394
  "cursor": null,
395
  "query": "\"music source separation\" in:readme stars:>=10000"
396
  },
397
  "audio-music-transcription": {
398
- "complete": false,
399
  "cursor": null,
400
  "query": "\"automatic music transcription\" in:readme stars:>=10000"
401
  },
402
  "audio-neural-codec": {
403
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404
  "cursor": null,
405
  "query": "\"neural audio codec\" in:readme stars:>=10000"
406
  },
407
  "audio-sound-event-detection": {
408
- "complete": false,
409
  "cursor": null,
410
  "query": "\"sound event detection\" in:readme stars:>=10000"
411
  },
412
  "audio-source-separation": {
413
- "complete": false,
414
  "cursor": null,
415
  "query": "\"audio source separation\" in:readme stars:>=10000"
416
  },
417
  "audio-speaker-diarization": {
418
- "complete": false,
419
  "cursor": null,
420
  "query": "\"speaker diarization\" in:readme stars:>=10000"
421
  },
422
  "audio-speaker-verification": {
423
- "complete": false,
424
  "cursor": null,
425
  "query": "\"speaker verification\" in:readme stars:>=10000"
426
  },
427
  "audio-speech-emotion-recognition": {
428
- "complete": false,
429
  "cursor": null,
430
  "query": "\"speech emotion recognition\" in:readme stars:>=10000"
431
  },
432
  "audio-speech-enhancement": {
433
- "complete": false,
434
  "cursor": null,
435
  "query": "\"speech enhancement\" in:readme stars:>=10000"
436
  },
437
  "audio-speech-synthesis": {
438
- "complete": false,
439
  "cursor": null,
440
  "query": "\"speech synthesis\" in:readme stars:>=10000"
441
  },
442
  "audio-speech-to-text": {
443
- "complete": false,
444
  "cursor": null,
445
  "query": "\"speech to text\" in:readme stars:>=10000"
446
  },
447
  "audio-speech-translation": {
448
- "complete": false,
449
  "cursor": null,
450
  "query": "\"speech translation\" in:readme stars:>=10000"
451
  },
452
  "audio-text-to-audio": {
453
- "complete": false,
454
  "cursor": null,
455
  "query": "\"text to audio\" in:readme stars:>=10000"
456
  },
457
  "audio-text-to-speech": {
458
  "complete": false,
459
- "cursor": null,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
460
  "query": "\"text to speech\" in:readme stars:>=10000"
461
  },
462
  "audio-voice-conversion": {
463
- "complete": false,
464
  "cursor": null,
465
  "query": "\"voice conversion\" in:readme stars:>=10000"
466
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467
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468
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469
  "cursor": null,
470
  "query": "\"cell atlas\" in:description,readme stars:>=10000"
471
  },
472
  "bio.chemical-biology": {
473
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474
  "cursor": null,
475
  "query": "\"protein function prediction\" in:description,readme stars:>=10000"
476
  },
477
  "bio.crispr": {
478
- "complete": false,
479
  "cursor": null,
480
  "query": "\"CRISPR screen\" in:description,readme stars:>=10000"
481
  },
482
  "bio.dna-language-models": {
483
- "complete": false,
484
  "cursor": null,
485
  "query": "\"DNA language model\" in:description stars:>=10000"
486
  },
487
  "bio.gene-regulatory-networks": {
488
- "complete": false,
489
  "cursor": null,
490
  "query": "\"gene regulatory network\" in:description,readme stars:>=10000"
491
  },
492
  "bio.genome-assembly": {
493
- "complete": false,
494
  "cursor": null,
495
  "query": "\"genome assembly\" \"neural network\" in:description,readme stars:>=10000"
496
  },
497
  "bio.genomics": {
498
- "complete": false,
499
  "cursor": null,
500
  "query": "\"genomics\" in:description stars:>=10000"
501
  },
502
  "bio.inverse-folding": {
503
- "complete": false,
504
  "cursor": null,
505
  "query": "\"inverse folding\" in:readme stars:>=10000"
506
  },
507
  "bio.metagenomics": {
508
- "complete": false,
509
  "cursor": null,
510
  "query": "\"metagenomic classification\" in:description,readme stars:>=10000"
511
  },
512
  "bio.microbiome": {
513
- "complete": false,
514
  "cursor": null,
515
  "query": "\"microbiome\" \"machine learning\" in:description,readme stars:>=10000"
516
  },
517
  "bio.microscopy-cell-analysis": {
518
- "complete": false,
519
  "cursor": null,
520
  "query": "\"cell segmentation\" microscopy in:description,readme stars:>=10000"
521
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522
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523
- "complete": false,
524
  "cursor": null,
525
  "query": "\"molecular dynamics\" in:description stars:>=10000"
526
  },
527
  "bio.molecular-force-fields": {
528
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529
  "cursor": null,
530
  "query": "\"machine learning force field\" in:readme stars:>=10000"
531
  },
532
  "bio.phylogenetics": {
533
- "complete": false,
534
  "cursor": null,
535
  "query": "\"phylogenetics\" in:description stars:>=10000"
536
  },
537
  "bio.protein-design": {
538
- "complete": false,
539
  "cursor": null,
540
  "query": "\"protein design\" in:description stars:>=10000"
541
  },
542
  "bio.protein-folding": {
543
- "complete": false,
544
  "cursor": null,
545
  "query": "\"protein folding\" in:readme stars:>=10000"
546
  },
547
  "bio.protein-interactions": {
548
- "complete": false,
549
  "cursor": null,
550
  "query": "\"protein-protein interaction prediction\" in:readme stars:>=10000"
551
  },
552
  "bio.protein-structure": {
553
- "complete": false,
554
  "cursor": null,
555
  "query": "\"protein structure prediction\" in:description stars:>=10000"
556
  },
557
  "bio.regulatory-sequence-modeling": {
558
- "complete": false,
559
  "cursor": null,
560
  "query": "enhancer prediction genomics in:description,readme stars:>=10000"
561
  },
562
  "bio.rna-language-models": {
563
- "complete": false,
564
  "cursor": null,
565
  "query": "\"RNA language model\" in:description stars:>=10000"
566
  },
567
  "bio.rna-structure": {
568
- "complete": false,
569
  "cursor": null,
570
  "query": "\"RNA structure prediction\" in:description,readme stars:>=10000"
571
  },
572
  "bio.scrna-seq": {
573
- "complete": false,
574
  "cursor": null,
575
  "query": "\"scRNA-seq\" in:readme stars:>=10000"
576
  },
577
  "bio.single-cell": {
578
- "complete": false,
579
  "cursor": null,
580
  "query": "\"single-cell\" in:description stars:>=10000"
581
  },
582
  "bio.spatial-transcriptomics": {
583
- "complete": false,
584
  "cursor": null,
585
  "query": "\"spatial transcriptomics\" in:description,readme stars:>=10000"
586
  },
587
  "bio.transcriptomics": {
588
- "complete": false,
589
  "cursor": null,
590
  "query": "\"transcriptomics\" in:description stars:>=10000"
591
  },
592
  "bio.variant-effects": {
593
- "complete": false,
594
  "cursor": null,
595
  "query": "\"variant effect prediction\" in:readme stars:>=10000"
596
  },
597
  "chem-admet": {
598
- "complete": false,
599
  "cursor": null,
600
  "query": "\"ADMET prediction\" in:description,readme stars:>=10000"
601
  },
602
  "chem-binding-affinity": {
603
- "complete": false,
604
  "cursor": null,
605
  "query": "\"binding affinity prediction\" in:description,readme stars:>=10000"
606
  },
607
  "chem-catalyst-discovery": {
608
- "complete": false,
609
  "cursor": null,
610
  "query": "\"catalyst discovery\" in:description,readme stars:>=10000"
611
  },
612
  "chem-cheminformatics": {
613
- "complete": false,
614
  "cursor": null,
615
  "query": "topic:cheminformatics stars:>=10000"
616
  },
617
  "chem-drug-discovery": {
618
- "complete": false,
619
  "cursor": null,
620
  "query": "\"drug discovery\" in:description,readme stars:>=10000"
621
  },
622
  "chem-interatomic-potentials": {
623
- "complete": false,
624
  "cursor": null,
625
  "query": "\"machine learning interatomic potential\" in:description,readme stars:>=10000"
626
  },
627
  "chem-molecular-docking": {
628
- "complete": false,
629
  "cursor": null,
630
  "query": "\"molecular docking\" in:description,readme stars:>=10000"
631
  },
632
  "chem-molecular-dynamics": {
633
- "complete": false,
634
  "cursor": null,
635
  "query": "\"molecular dynamics\" \"machine learning\" in:description,readme stars:>=10000"
636
  },
637
  "chem-molecular-generation": {
638
- "complete": false,
639
  "cursor": null,
640
  "query": "\"molecular generation\" in:description,readme stars:>=10000"
641
  },
642
  "chem-molecular-property-benchmark": {
643
- "complete": false,
644
  "cursor": null,
645
  "query": "MoleculeNet in:description,readme stars:>=10000"
646
  },
647
  "chem-molecular-spectroscopy": {
648
- "complete": false,
649
  "cursor": null,
650
  "query": "molecular spectroscopy \"machine learning\" in:description,readme stars:>=10000"
651
  },
652
  "chem-property-prediction": {
653
- "complete": false,
654
  "cursor": null,
655
  "query": "\"molecular property prediction\" in:description,readme stars:>=10000"
656
  },
657
  "chem-protein-ligand-docking": {
658
- "complete": false,
659
  "cursor": null,
660
  "query": "\"protein-ligand docking\" in:description,readme stars:>=10000"
661
  },
662
  "chem-quantum-chemistry": {
663
- "complete": false,
664
  "cursor": null,
665
  "query": "\"quantum chemistry\" \"machine learning\" in:description,readme stars:>=10000"
666
  },
667
  "chem-reaction-conditions": {
668
- "complete": false,
669
  "cursor": null,
670
  "query": "\"reaction condition prediction\" in:description,readme stars:>=10000"
671
  },
672
  "chem-reaction-prediction": {
673
- "complete": false,
674
  "cursor": null,
675
  "query": "\"reaction prediction\" in:description,readme stars:>=10000"
676
  },
677
  "chem-reaction-yield": {
678
- "complete": false,
679
  "cursor": null,
680
  "query": "\"reaction yield prediction\" in:description,readme stars:>=10000"
681
  },
682
  "chem-retrosynthesis": {
683
- "complete": false,
684
  "cursor": null,
685
  "query": "\"computer aided synthesis planning\" in:description,readme stars:>=10000"
686
  },
687
  "chem-retrosynthesis-planning": {
688
- "complete": false,
689
  "cursor": null,
690
  "query": "retrosynthesis in:description,readme stars:>=10000"
691
  },
692
  "chem-virtual-screening": {
693
- "complete": false,
694
  "cursor": null,
695
  "query": "\"virtual screening\" in:description,readme stars:>=10000"
696
  },
@@ -4105,7 +4127,7 @@
4105
  "query": "\"visual localization\" in:readme stars:>=10000"
4106
  }
4107
  },
4108
- "next_index": 30,
4109
  "per_page": 100,
4110
  "start": "2008-01-01",
4111
  "version": 1
 
195
  "query": "\"search ranking\" in:readme stars:>=10000"
196
  },
197
  "applied.species-distribution-modeling": {
198
+ "complete": true,
199
  "cursor": null,
200
  "query": "\"species distribution modeling\" in:description,readme stars:>=10000"
201
  },
202
  "applied.supply-chain-optimization": {
203
+ "complete": true,
204
  "cursor": null,
205
  "query": "\"supply chain optimization\" in:readme stars:>=10000"
206
  },
207
  "applied.tabular-ml": {
208
+ "complete": true,
209
  "cursor": null,
210
  "query": "\"tabular data\" in:readme stars:>=10000"
211
  },
212
  "applied.time-series-forecasting": {
213
+ "complete": true,
214
  "cursor": null,
215
  "query": "\"time series forecasting\" manufacturing in:description stars:>=10000"
216
  },
217
  "applied.traffic-prediction": {
218
+ "complete": true,
219
  "cursor": null,
220
  "query": "\"traffic prediction\" \"machine learning\" in:description,readme stars:>=10000"
221
  },
222
  "applied.uplift-modeling": {
223
+ "complete": true,
224
  "cursor": null,
225
  "query": "\"uplift modeling\" in:description stars:>=10000"
226
  },
227
  "applied26.automated-essay-scoring": {
228
+ "complete": true,
229
  "cursor": null,
230
  "query": "\"automated essay scoring\" machine learning in:description,readme stars:>=10000"
231
  },
232
  "applied26.coherent-imaging-reconstruction": {
233
+ "complete": true,
234
  "cursor": null,
235
  "query": "\"coherent imaging reconstruction\" deep learning in:description,readme stars:>=10000"
236
  },
237
  "applied26.credit-default-prediction": {
238
+ "complete": true,
239
  "cursor": null,
240
  "query": "\"credit default prediction\" machine learning in:description,readme stars:>=10000"
241
  },
242
  "applied26.demand-sensing": {
243
+ "complete": true,
244
  "cursor": null,
245
  "query": "\"demand sensing\" machine learning in:description,readme stars:>=10000"
246
  },
247
  "applied26.few-shot-segmentation": {
248
+ "complete": true,
249
  "cursor": null,
250
  "query": "\"few-shot segmentation\" deep learning in:description,readme stars:>=10000"
251
  },
252
  "applied26.knowledge-tracing": {
253
+ "complete": true,
254
  "cursor": null,
255
  "query": "\"knowledge tracing\" machine learning in:description,readme stars:>=10000"
256
  },
257
  "applied26.market-microstructure-prediction": {
258
+ "complete": true,
259
  "cursor": null,
260
  "query": "\"market microstructure prediction\" machine learning in:description,readme stars:>=10000"
261
  },
262
  "applied26.partial-label-learning": {
263
+ "complete": true,
264
  "cursor": null,
265
  "query": "\"partial label learning\" machine learning in:description,readme stars:>=10000"
266
  },
267
  "applied26.power-load-disaggregation": {
268
+ "complete": true,
269
  "cursor": null,
270
  "query": "\"power load disaggregation\" machine learning in:description,readme stars:>=10000"
271
  },
272
  "applied26.source-free-domain-adaptation": {
273
+ "complete": true,
274
  "cursor": null,
275
  "query": "\"source-free domain adaptation\" in:description,readme stars:>=10000"
276
  },
277
  "applied26.traffic-signal-control": {
278
+ "complete": true,
279
  "cursor": null,
280
  "query": "\"traffic signal control\" reinforcement learning in:description,readme stars:>=10000"
281
  },
282
  "applied26.transaction-anomaly-detection": {
283
+ "complete": true,
284
  "cursor": null,
285
  "query": "\"transaction anomaly detection\" machine learning in:description,readme stars:>=10000"
286
  },
287
  "applied26.volatility-forecasting": {
288
+ "complete": true,
289
  "cursor": null,
290
  "query": "\"volatility forecasting\" machine learning in:description,readme stars:>=10000"
291
  },
292
  "applied26.warehouse-picking-optimization": {
293
+ "complete": true,
294
  "cursor": null,
295
  "query": "\"warehouse picking optimization\" machine learning in:description,readme stars:>=10000"
296
  },
297
  "applied27.air-quality-nowcasting": {
298
+ "complete": true,
299
  "cursor": null,
300
  "query": "\"air quality nowcasting\" machine learning in:description,readme stars:>=10000"
301
  },
302
  "applied27.automated-species-recognition": {
303
+ "complete": true,
304
  "cursor": null,
305
  "query": "\"automated species recognition\" machine learning in:description,readme stars:>=10000"
306
  },
307
  "applied27.building-energy": {
308
+ "complete": true,
309
  "cursor": null,
310
  "query": "\"building energy forecasting\" machine learning in:description,readme stars:>=10000"
311
  },
312
  "applied27.ride-demand": {
313
+ "complete": true,
314
  "cursor": null,
315
  "query": "\"ride demand prediction\" machine learning in:description,readme stars:>=10000"
316
  },
317
  "applied27.smart-grid-state": {
318
+ "complete": true,
319
  "cursor": null,
320
  "query": "\"smart grid state estimation\" machine learning in:description,readme stars:>=10000"
321
  },
322
  "applied27.traffic-trajectory": {
323
+ "complete": true,
324
  "cursor": null,
325
  "query": "\"traffic trajectory prediction\" machine learning in:description,readme stars:>=10000"
326
  },
327
  "applied27.wind-power-forecasting": {
328
+ "complete": true,
329
  "cursor": null,
330
  "query": "\"wind power forecasting\" machine learning in:description,readme stars:>=10000"
331
  },
332
  "audio-acoustic-event-classification": {
333
+ "complete": true,
334
  "cursor": null,
335
  "query": "\"acoustic scene classification\" in:readme stars:>=10000"
336
  },
337
  "audio-anomaly-detection": {
338
+ "complete": true,
339
  "cursor": null,
340
  "query": "\"audio anomaly detection\" in:readme stars:>=10000"
341
  },
342
  "audio-asr": {
343
+ "complete": true,
344
  "cursor": null,
345
  "query": "\"automatic speech recognition\" in:readme stars:>=10000"
346
  },
347
  "audio-audio-captioning": {
348
+ "complete": true,
349
  "cursor": null,
350
  "query": "\"audio captioning\" in:readme stars:>=10000"
351
  },
352
  "audio-audio-classification": {
353
+ "complete": true,
354
  "cursor": null,
355
  "query": "\"audio classification\" in:readme stars:>=10000"
356
  },
357
  "audio-audio-question-answering": {
358
+ "complete": true,
359
  "cursor": null,
360
  "query": "\"audio question answering\" in:readme stars:>=10000"
361
  },
362
  "audio-audio-super-resolution": {
363
+ "complete": true,
364
  "cursor": null,
365
  "query": "\"audio super-resolution\" in:readme stars:>=10000"
366
  },
367
  "audio-generation": {
368
+ "complete": true,
369
  "cursor": null,
370
  "query": "\"audio generation\" in:readme stars:>=10000"
371
  },
372
  "audio-keyword-spotting": {
373
+ "complete": true,
374
  "cursor": null,
375
  "query": "\"keyword spotting\" audio in:readme stars:>=10000"
376
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377
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399
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402
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403
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406
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407
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411
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412
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413
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416
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417
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418
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419
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421
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422
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423
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424
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427
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428
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429
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430
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431
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432
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433
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434
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436
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437
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438
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439
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440
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441
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442
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443
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444
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446
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447
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450
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451
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452
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453
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454
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455
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456
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457
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458
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459
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460
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464
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465
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468
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472
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474
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476
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477
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478
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479
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480
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481
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482
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483
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484
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485
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486
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489
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494
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495
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496
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498
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499
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500
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501
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502
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503
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504
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505
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506
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509
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510
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511
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514
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515
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516
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518
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519
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520
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521
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523
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524
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528
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533
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534
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535
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536
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537
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538
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539
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540
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541
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543
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544
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545
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548
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549
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550
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553
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554
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555
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556
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558
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559
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560
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563
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564
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566
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568
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569
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570
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571
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572
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573
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574
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575
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576
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578
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579
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580
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581
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582
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583
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584
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585
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586
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588
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589
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590
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591
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593
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594
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595
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596
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598
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599
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600
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601
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602
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603
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604
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605
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608
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609
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610
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611
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612
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613
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614
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615
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616
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618
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619
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620
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621
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622
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623
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624
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625
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626
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627
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628
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629
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630
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631
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632
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633
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634
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635
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636
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637
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638
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639
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640
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641
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642
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643
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644
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645
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646
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647
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648
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649
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650
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651
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652
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653
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654
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655
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656
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657
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658
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659
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660
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661
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662
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663
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664
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665
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666
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667
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668
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669
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670
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671
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672
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673
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674
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675
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676
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677
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678
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679
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680
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681
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682
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683
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684
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685
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686
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687
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688
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689
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690
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691
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692
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693
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694
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695
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696
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698
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699
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700
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701
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702
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703
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704
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705
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706
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707
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708
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709
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710
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711
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712
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713
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714
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715
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716
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717
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718
  },
 
4127
  "query": "\"visual localization\" in:readme stars:>=10000"
4128
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4129
  },
4130
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4131
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4132
  "start": "2008-01-01",
4133
  "version": 1