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lightsofapollo
/
nemotron-speech-streaming-en-0.6b-8bit

Automatic Speech Recognition
MLX
Safetensors
PyTorch
English
quantized
speech-recognition
cache-aware ASR
streaming-asr
speech
audio
FastConformer
RNNT
Parakeet
ASR
NeMo
Model card Files
xet
 Community
lightsofapollo commited on
Commit
3b6574b
·
verified ·
1 Parent(s): b2d12be

Initial upload: 8-bit MLX quantized Nemotron streaming ASR (CC-BY-4.0 derivative of nvidia/nemotron-speech-streaming-en-0.6b)

Browse files
Files changed (7) hide show
  1. README.md +82 -0
  2. config.json +2267 -0
  3. model.safetensors +3 -0
  4. model_config.yaml +2227 -0
  5. tokenizer.model +3 -0
  6. tokenizer.vocab +1024 -0
  7. vocab.txt +1023 -0
README.md ADDED
@@ -0,0 +1,82 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: other
3
+ track_downloads: true
4
+ language:
5
+ - en
6
+ pipeline_tag: automatic-speech-recognition
7
+ library_name: mlx
8
+ datasets:
9
+ - nvidia/Granary
10
+ - YTC
11
+ - Yodas2
12
+ - LibriLight
13
+ - librispeech_asr
14
+ - fisher_corpus
15
+ - Switchboard-1
16
+ - WSJ-0
17
+ - WSJ-1
18
+ - National-Singapore-Corpus-Part-1
19
+ - National-Singapore-Corpus-Part-6
20
+ - vctk
21
+ - voxpopuli
22
+ - europarl
23
+ - multilingual_librispeech
24
+ - fleurs
25
+ - mozilla-foundation/common_voice_8_0
26
+ - MLCommons/peoples_speech
27
+ - google/speech_commands
28
+ tags:
29
+ - quantized
30
+ - speech-recognition
31
+ - cache-aware ASR
32
+ - automatic-speech-recognition
33
+ - streaming-asr
34
+ - speech
35
+ - audio
36
+ - FastConformer
37
+ - RNNT
38
+ - Parakeet
39
+ - ASR
40
+ - pytorch
41
+ - NeMo
42
+ - mlx
43
+ base_model: nvidia/nemotron-speech-streaming-en-0.6b
44
+ base_model_relation: quantized
45
+ ---
46
+
47
+ # **animaslabs/nemotron-speech-streaming-en-0.6b-mlx-8bit**
48
+
49
+ This model was converted to MLX format, 8-bit quantized from [nvidia/nemotron-speech-streaming-en-0.6b](https://huggingface.co/nvidia/nemotron-speech-streaming-en-0.6b) using the scripts in this [github repo](https://github.com/animaslabs/mlx-models). Please refer to [original model card](https://huggingface.co/nvidia/nemotron-speech-streaming-en-0.6b) for more details on the model.
50
+
51
+ ## Usage
52
+
53
+ Quantized models require calling `mlx.nn.quantize()` before loading weights.
54
+
55
+ ```python
56
+ import json
57
+ import mlx.nn as nn
58
+ from huggingface_hub import hf_hub_download
59
+ from parakeet_mlx.utils import from_config
60
+
61
+ # Download and load config
62
+ config_path = hf_hub_download("animaslabs/nemotron-speech-streaming-en-0.6b-mlx-8bit", "config.json")
63
+ with open(config_path) as f:
64
+ config = json.load(f)
65
+
66
+ # Build model and apply quantization structure
67
+ model = from_config(config)
68
+ nn.quantize(
69
+ model,
70
+ bits=config["quantization"]["bits"],
71
+ group_size=config["quantization"]["group_size"],
72
+ )
73
+
74
+ # Load quantized weights
75
+ weights_path = hf_hub_download("animaslabs/nemotron-speech-streaming-en-0.6b-mlx-8bit", "model.safetensors")
76
+ model.load_weights(weights_path)
77
+
78
+ # Transcribe
79
+ result = model.transcribe("audio.wav")
80
+ print(result.text)
81
+ ```
82
+
config.json ADDED
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+ "our",
370
+ "ies",
371
+ "ake",
372
+ "\u2581R",
373
+ "\u2581We",
374
+ "\u2581get",
375
+ "\u2581don",
376
+ "\u2581us",
377
+ "ak",
378
+ "\u2581pl",
379
+ "ect",
380
+ "ure",
381
+ "ame",
382
+ "ast",
383
+ "\u2581who",
384
+ "ack",
385
+ "\u2581le",
386
+ "\u2581sa",
387
+ "iv",
388
+ "ci",
389
+ "ide",
390
+ "\u2581tim",
391
+ "\u2581our",
392
+ "ound",
393
+ "ous",
394
+ "\u2581co",
395
+ "\u2581pe",
396
+ "ose",
397
+ "ud",
398
+ "\u2581see",
399
+ "ough",
400
+ "\u2581man",
401
+ "\u2581qu",
402
+ "\u2581You",
403
+ "so",
404
+ "ople",
405
+ "\u2581Wh",
406
+ "ong",
407
+ "ap",
408
+ "ther",
409
+ "\u2581J",
410
+ "are",
411
+ "ine",
412
+ "\u2581say",
413
+ "\u2581im",
414
+ "\u2581But",
415
+ "ings",
416
+ "\u2581has",
417
+ "\u2581ag",
418
+ "ff",
419
+ "\u2581her",
420
+ "itt",
421
+ "one",
422
+ "\u2581en",
423
+ "\u2581ar",
424
+ "\u2581fe",
425
+ "ven",
426
+ "\u2581any",
427
+ "\u2581mo",
428
+ "reat",
429
+ "ag",
430
+ "\u2581how",
431
+ "\u2581cl",
432
+ "pt",
433
+ "\u2581now",
434
+ "own",
435
+ "ber",
436
+ "\u2581him",
437
+ "\u2581act",
438
+ "hing",
439
+ "ice",
440
+ "\u2581no",
441
+ "ans",
442
+ "iz",
443
+ "\u2581fa",
444
+ "per",
445
+ "pl",
446
+ "\u2581te",
447
+ "\u2581ad",
448
+ "age",
449
+ "ree",
450
+ "\u2581tw",
451
+ "ank",
452
+ "\u2581He",
453
+ "ple",
454
+ "ite",
455
+ "ry",
456
+ "\u2581U",
457
+ "ish",
458
+ "ire",
459
+ "ue",
460
+ "\u2581In",
461
+ "\u2581she",
462
+ "ble",
463
+ "cc",
464
+ "nder",
465
+ "\u2581way",
466
+ "\u2581pr",
467
+ "ear",
468
+ "\u2581did",
469
+ "\u2581po",
470
+ "eah",
471
+ "\u2581un",
472
+ "omet",
473
+ "ence",
474
+ "ep",
475
+ "uch",
476
+ "\u2581sp",
477
+ "ach",
478
+ "og",
479
+ "ance",
480
+ "able",
481
+ "iff",
482
+ "sel",
483
+ "\u2581got",
484
+ "way",
485
+ "\u2581gr",
486
+ "alk",
487
+ "\u2581res",
488
+ "ated",
489
+ "irst",
490
+ "ick",
491
+ "ass",
492
+ "\u2581two",
493
+ "\u2581dis",
494
+ "ord",
495
+ "\u2581pre",
496
+ "ount",
497
+ "ase",
498
+ "ip",
499
+ "ult",
500
+ "ical",
501
+ "orm",
502
+ "ary",
503
+ "ace",
504
+ "\u2581spe",
505
+ "\u2581Ch",
506
+ "\u2581thr",
507
+ "\u2581imp",
508
+ "int",
509
+ "\u2581am",
510
+ "\u2581off",
511
+ "act",
512
+ "ia",
513
+ "\u2581ro",
514
+ "ress",
515
+ "\u2581per",
516
+ "\u2581fo",
517
+ "\u2581br",
518
+ "\u2581K",
519
+ "vel",
520
+ "\u2581gu",
521
+ "\u2581bo",
522
+ "ang",
523
+ "kay",
524
+ "ub",
525
+ "ign",
526
+ "\u2581may",
527
+ "ving",
528
+ "ces",
529
+ "ens",
530
+ "cl",
531
+ "\u2581lot",
532
+ "ru",
533
+ "ade",
534
+ "\u2581bet",
535
+ "\u2581bl",
536
+ "\u2581let",
537
+ "fore",
538
+ "co",
539
+ "ild",
540
+ "ning",
541
+ "xt",
542
+ "ile",
543
+ "ark",
544
+ "self",
545
+ "\u2581app",
546
+ "ory",
547
+ "du",
548
+ "\u2581day",
549
+ "\u2581St",
550
+ "ater",
551
+ "\u2581use",
552
+ "ys",
553
+ "fter",
554
+ "\u2581new",
555
+ "ious",
556
+ "ial",
557
+ "he",
558
+ "wn",
559
+ "ved",
560
+ "red",
561
+ "\u2581fl",
562
+ "iss",
563
+ "ody",
564
+ "form",
565
+ "ian",
566
+ "tain",
567
+ "\u2581bu",
568
+ "\u2581V",
569
+ "\u2581rec",
570
+ "ty",
571
+ "be",
572
+ "\u2581sc",
573
+ "ors",
574
+ "vers",
575
+ "\u2581put",
576
+ "ife",
577
+ "\u2581If",
578
+ "we",
579
+ "te",
580
+ "ject",
581
+ "ath",
582
+ "ting",
583
+ "\u2581rem",
584
+ "\u2581acc",
585
+ "ull",
586
+ "ons",
587
+ "\u2581ind",
588
+ "\u2581ser",
589
+ "\u2581ke",
590
+ "ates",
591
+ "ves",
592
+ "na",
593
+ "lic",
594
+ "\u2581des",
595
+ "\u2581its",
596
+ "ful",
597
+ "ents",
598
+ "erm",
599
+ "ac",
600
+ "ered",
601
+ "ise",
602
+ "\u2581sy",
603
+ "urn",
604
+ "\u2581em",
605
+ "oth",
606
+ "ual",
607
+ "ne",
608
+ "ward",
609
+ "ib",
610
+ "\u2581try",
611
+ "\u2581pos",
612
+ "nds",
613
+ "ft",
614
+ "get",
615
+ "ph",
616
+ "\u2581ob",
617
+ "ady",
618
+ "igh",
619
+ "ood",
620
+ "\u2581rel",
621
+ "\u2581wr",
622
+ "ug",
623
+ "ears",
624
+ "ail",
625
+ "\u2581Now",
626
+ "\u2581bit",
627
+ "ng",
628
+ "\u2581Oh",
629
+ "\u2581hel",
630
+ "ange",
631
+ "\u2581reg",
632
+ "\u2581rep",
633
+ "\u2581bel",
634
+ "\u2581sm",
635
+ "ost",
636
+ "tern",
637
+ "gr",
638
+ "\u2581own",
639
+ "\u2581end",
640
+ "pect",
641
+ "ily",
642
+ "day",
643
+ "ied",
644
+ "ific",
645
+ "ower",
646
+ "\u2581add",
647
+ "cess",
648
+ "ict",
649
+ "ible",
650
+ "\u2581bas",
651
+ "\u2581i",
652
+ "\u2581op",
653
+ "cial",
654
+ "ular",
655
+ "\u2581Be",
656
+ "ced",
657
+ "\u2581too",
658
+ "ks",
659
+ "ew",
660
+ "mer",
661
+ "\u2581ph",
662
+ "ob",
663
+ "==",
664
+ "\u2581la",
665
+ "\u2581set",
666
+ "\u2581min",
667
+ "\u2581sub",
668
+ "\u2581gen",
669
+ "atch",
670
+ "..",
671
+ "\u2581inv",
672
+ "\u2581As",
673
+ "\u2581nat",
674
+ "\u2581sl",
675
+ "\u2581num",
676
+ "av",
677
+ "ways",
678
+ "\u2581God",
679
+ "stem",
680
+ "\u2581ac",
681
+ "\u2581att",
682
+ "\u2581ev",
683
+ "\u2581def",
684
+ "llow",
685
+ "\u2581str",
686
+ "lect",
687
+ "ars",
688
+ "\u2581cr",
689
+ "\u2581Is",
690
+ "olog",
691
+ "les",
692
+ "oy",
693
+ "\u2581ask",
694
+ "\u2581inc",
695
+ "body",
696
+ "\u2581ent",
697
+ "\u2581pol",
698
+ "ness",
699
+ "ix",
700
+ "\u2581why",
701
+ "onna",
702
+ "\u2581ear",
703
+ "\u2581tak",
704
+ "\u2581Un",
705
+ "ited",
706
+ "mun",
707
+ "li",
708
+ "ute",
709
+ "ract",
710
+ "\u2581dec",
711
+ "uro",
712
+ "\u2581mak",
713
+ "\u2581fin",
714
+ "ween",
715
+ "\u2581No",
716
+ "arch",
717
+ "\u2581bec",
718
+ "gan",
719
+ "old",
720
+ "cy",
721
+ "\u2581big",
722
+ "\u2581For",
723
+ "ren",
724
+ "als",
725
+ "und",
726
+ "\u2581Al",
727
+ "\u2581All",
728
+ "ss",
729
+ "ows",
730
+ "\u2581mod",
731
+ "ock",
732
+ "\u2581id",
733
+ "ism",
734
+ "cus",
735
+ "\u2581gl",
736
+ "ably",
737
+ "\u2581ass",
738
+ "\u2581car",
739
+ "ata",
740
+ "ppen",
741
+ "led",
742
+ "\u2581sim",
743
+ "\u2581mon",
744
+ "ics",
745
+ "\u2581giv",
746
+ "cept",
747
+ "\u2581Mr",
748
+ "pan",
749
+ "\u2581pub",
750
+ "\u2581eff",
751
+ "\u2581How",
752
+ "ps",
753
+ "vern",
754
+ "end",
755
+ "hip",
756
+ "iew",
757
+ "ope",
758
+ "\u2581An",
759
+ "\u2581She",
760
+ "\u2581Com",
761
+ "ee",
762
+ "ures",
763
+ "ell",
764
+ "ouse",
765
+ "cond",
766
+ "king",
767
+ "oc",
768
+ "ues",
769
+ "ever",
770
+ "\u2581To",
771
+ "clud",
772
+ "\u2581ins",
773
+ "\u2581exp",
774
+ "\u2581old",
775
+ "\u2581mem",
776
+ "\u2581ref",
777
+ "\u2581tra",
778
+ "\u2581far",
779
+ "ave",
780
+ "rat",
781
+ "\u2581sur",
782
+ "ruct",
783
+ "rib",
784
+ "duct",
785
+ "uff",
786
+ "\u2581met",
787
+ "\u2581sch",
788
+ "ince",
789
+ "\u2581run",
790
+ "ense",
791
+ "\u2581cle",
792
+ "\u2581==",
793
+ "mon",
794
+ "ize",
795
+ "\u2581ord",
796
+ "blem",
797
+ "tin",
798
+ "\u2581Let",
799
+ "ner",
800
+ "ond",
801
+ "its",
802
+ "\u2581cor",
803
+ "land",
804
+ "\u2581cur",
805
+ "\u2581Re",
806
+ "\u2581bus",
807
+ "\u2581uh",
808
+ "air",
809
+ "ote",
810
+ "ants",
811
+ "ason",
812
+ "ric",
813
+ "\u2581el",
814
+ "\u2581cer",
815
+ "nce",
816
+ "\u2581fam",
817
+ "\u2581cap",
818
+ "uck",
819
+ "ool",
820
+ "ried",
821
+ "\u2581cou",
822
+ "\u2581fun",
823
+ "\u2581wom",
824
+ "\u2581hum",
825
+ "\u2581ty",
826
+ "\u2581ap",
827
+ "ike",
828
+ "\u2581few",
829
+ "oney",
830
+ "\u2581inf",
831
+ "ont",
832
+ "ese",
833
+ "ook",
834
+ "gy",
835
+ "uth",
836
+ "ulat",
837
+ "ieve",
838
+ "ized",
839
+ "ross",
840
+ "\u2581ple",
841
+ "\u2581um",
842
+ "\u2581val",
843
+ "\u2581equ",
844
+ "\u2581lea",
845
+ "\u2581lar",
846
+ "ah",
847
+ "eral",
848
+ "\u2581ed",
849
+ "ared",
850
+ "lish",
851
+ "arn",
852
+ "ds",
853
+ "esn",
854
+ "\u2581iss",
855
+ "\u2581ca",
856
+ "ted",
857
+ "ices",
858
+ "\u2581wee",
859
+ "ash",
860
+ "\u2581top",
861
+ "ten",
862
+ "up",
863
+ "ts",
864
+ "gin",
865
+ "con",
866
+ "ari",
867
+ "\u2581opp",
868
+ "osed",
869
+ "\u2581eas",
870
+ "\u2581ext",
871
+ "gg",
872
+ "az",
873
+ "\u2581Fr",
874
+ "ideo",
875
+ "izat",
876
+ "\u2581men",
877
+ "\u2581mom",
878
+ "\u2581ret",
879
+ "tty",
880
+ "rist",
881
+ "\u2581gra",
882
+ "alth",
883
+ "ef",
884
+ "\u2581det",
885
+ "ax",
886
+ "\u2581mat",
887
+ "chn",
888
+ "ern",
889
+ "peri",
890
+ "\u2581bre",
891
+ "\u2581Sh",
892
+ "sw",
893
+ "erat",
894
+ "\u2581sit",
895
+ "ters",
896
+ "ale",
897
+ "man",
898
+ "\u2581sol",
899
+ "ork",
900
+ "\u2581adv",
901
+ "ety",
902
+ "\u2581vis",
903
+ "\u2581med",
904
+ "uc",
905
+ "less",
906
+ "\u2581unt",
907
+ "gram",
908
+ "ets",
909
+ "ists",
910
+ "\u2581ey",
911
+ "\u2581col",
912
+ "imes",
913
+ "\u2581law",
914
+ "\u2581pri",
915
+ "sid",
916
+ "\u2581On",
917
+ "\u2581mot",
918
+ "ield",
919
+ "\u2581Do",
920
+ "\u2581At",
921
+ "ages",
922
+ "amp",
923
+ "\u2581art",
924
+ "miss",
925
+ "\u2581sk",
926
+ "alf",
927
+ "pr",
928
+ "ier",
929
+ "\u2581beh",
930
+ "\u2581Yes",
931
+ "ural",
932
+ "ime",
933
+ "\u2581wa",
934
+ "oks",
935
+ "bers",
936
+ "ger",
937
+ "ient",
938
+ "ries",
939
+ "...",
940
+ "\u2581che",
941
+ "\u2581Br",
942
+ "ird",
943
+ "\u2581Ar",
944
+ "\u2581war",
945
+ "inat",
946
+ "\u2581My",
947
+ "ital",
948
+ "wh",
949
+ "med",
950
+ "\u2581pur",
951
+ "ully",
952
+ "\u2581One",
953
+ "\u2581rat",
954
+ "ines",
955
+ "\u2581Of",
956
+ "io",
957
+ "\u2581loc",
958
+ "ret",
959
+ "ctor",
960
+ "\u2581leg",
961
+ "stit",
962
+ "ined",
963
+ "ught",
964
+ "\u2581dur",
965
+ "\u2581es",
966
+ "vent",
967
+ "aj",
968
+ "\u2581bro",
969
+ "\u2581saw",
970
+ "\u2581sec",
971
+ "ream",
972
+ "\u2581pop",
973
+ "reen",
974
+ "\u2581Ind",
975
+ "els",
976
+ "\u2581yet",
977
+ "ired",
978
+ "\u2581sw",
979
+ "tro",
980
+ "oup",
981
+ "most",
982
+ "pean",
983
+ "eds",
984
+ "ush",
985
+ "oh",
986
+ "\u2581Se",
987
+ "\u2581tea",
988
+ "ann",
989
+ "ilit",
990
+ "err",
991
+ "pend",
992
+ "ton",
993
+ "ased",
994
+ "\u2581aff",
995
+ "\u2581mor",
996
+ "\u2581dra",
997
+ "put",
998
+ "\u2581dr",
999
+ "ins",
1000
+ "uat",
1001
+ "nect",
1002
+ "cri",
1003
+ "outh",
1004
+ "\u2581ra",
1005
+ "\u2581pay",
1006
+ "ms",
1007
+ "\u2581av",
1008
+ "bs",
1009
+ "ling",
1010
+ "\u2581De",
1011
+ "\u2581Or",
1012
+ "ove",
1013
+ "\u2581Can",
1014
+ "\u2581eng",
1015
+ "ames",
1016
+ "ided",
1017
+ "\u2581Go",
1018
+ "mitt",
1019
+ "ode",
1020
+ "\u2581cre",
1021
+ "par",
1022
+ "ides",
1023
+ "pos",
1024
+ "\u2581fav",
1025
+ "\u2581air",
1026
+ "\u2581New",
1027
+ "\u2581bad",
1028
+ "\u2581six",
1029
+ "vat",
1030
+ "\u2581pat",
1031
+ "not",
1032
+ "\u2581di",
1033
+ "rop",
1034
+ "ral",
1035
+ "orn",
1036
+ "\u2581par",
1037
+ "cing",
1038
+ "\u2581aw",
1039
+ "orts",
1040
+ "ox",
1041
+ "\u2581yes",
1042
+ "cuss",
1043
+ "eng",
1044
+ "ives",
1045
+ "erms",
1046
+ "\u2581job",
1047
+ "mand",
1048
+ "ying",
1049
+ "\u2581occ",
1050
+ "aps",
1051
+ "ases",
1052
+ "\u2581Not",
1053
+ "rent",
1054
+ "ency",
1055
+ "att",
1056
+ "ised",
1057
+ "vice",
1058
+ "\u2581Eng",
1059
+ "\u2581est",
1060
+ "oked",
1061
+ "\u2581Q",
1062
+ "iron",
1063
+ "idd",
1064
+ "me",
1065
+ "unch",
1066
+ "ane",
1067
+ "\u2581z",
1068
+ "br",
1069
+ "arts",
1070
+ "\u2581fat",
1071
+ "ery",
1072
+ "anks",
1073
+ "\u2581jo",
1074
+ "\u2581mar",
1075
+ "aw",
1076
+ "ott",
1077
+ "ards",
1078
+ "\u2581oh",
1079
+ "ians",
1080
+ "\u2581sci",
1081
+ "row",
1082
+ "unt",
1083
+ "ury",
1084
+ "\u2581abs",
1085
+ "ergy",
1086
+ "\u2581Z",
1087
+ "ump",
1088
+ "\u2581Am",
1089
+ "ened",
1090
+ "angu",
1091
+ "\u2581Pro",
1092
+ "icat",
1093
+ "itch",
1094
+ "\u2581dri",
1095
+ "iat",
1096
+ "\u2581",
1097
+ "e",
1098
+ "t",
1099
+ "o",
1100
+ "a",
1101
+ "n",
1102
+ "i",
1103
+ "s",
1104
+ "r",
1105
+ "h",
1106
+ "l",
1107
+ "d",
1108
+ "u",
1109
+ "c",
1110
+ "m",
1111
+ "y",
1112
+ "g",
1113
+ "w",
1114
+ "f",
1115
+ "p",
1116
+ ",",
1117
+ ".",
1118
+ "b",
1119
+ "v",
1120
+ "k",
1121
+ "'",
1122
+ "I",
1123
+ "T",
1124
+ "A",
1125
+ "S",
1126
+ "x",
1127
+ "W",
1128
+ "j",
1129
+ "C",
1130
+ "B",
1131
+ "M",
1132
+ "?",
1133
+ "H",
1134
+ "O",
1135
+ "0",
1136
+ "P",
1137
+ "q",
1138
+ "Y",
1139
+ "N",
1140
+ "L",
1141
+ "D",
1142
+ "1",
1143
+ "E",
1144
+ "G",
1145
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+ _target_: nemo.collections.asr.modules.RNNTDecoder
112
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116
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118
+ t_max: null
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+ dropout: 0.2
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+ vocab_size: 1024
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+ joint:
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133
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866
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+ - ▁pay
986
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987
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988
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989
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990
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991
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992
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993
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994
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995
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996
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997
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1009
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1010
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1011
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1012
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1013
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1014
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1015
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1017
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1018
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1019
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1020
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1021
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1022
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1023
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1024
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1025
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1026
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1027
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1028
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1029
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1030
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1031
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1032
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1033
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1034
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1035
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1037
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1038
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1039
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1040
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1041
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1042
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1043
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1044
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1045
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1046
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1047
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1048
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1050
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1051
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1052
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1053
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1054
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1055
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1056
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1057
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1058
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1059
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1060
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1061
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1062
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1063
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1064
+ - ▁abs
1065
+ - ergy
1066
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1067
+ - ump
1068
+ - ▁Am
1069
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1070
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1071
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1072
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1073
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1074
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1075
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1076
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1077
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1078
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1079
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1080
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1081
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1082
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1083
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1084
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1085
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1086
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1087
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1088
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1089
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1090
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1091
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1092
+ - g
1093
+ - w
1094
+ - f
1095
+ - p
1096
+ - ','
1097
+ - .
1098
+ - b
1099
+ - v
1100
+ - k
1101
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1102
+ - I
1103
+ - T
1104
+ - A
1105
+ - S
1106
+ - x
1107
+ - W
1108
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1109
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1110
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1111
+ - M
1112
+ - '?'
1113
+ - H
1114
+ - O
1115
+ - '0'
1116
+ - P
1117
+ - q
1118
+ - 'Y'
1119
+ - 'N'
1120
+ - L
1121
+ - D
1122
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1123
+ - E
1124
+ - G
1125
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1126
+ - F
1127
+ - R
1128
+ - '-'
1129
+ - '2'
1130
+ - J
1131
+ - U
1132
+ - '9'
1133
+ - K
1134
+ - '5'
1135
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1136
+ - V
1137
+ - '='
1138
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1139
+ - '8'
1140
+ - '6'
1141
+ - '7'
1142
+ - '!'
1143
+ - '%'
1144
+ - ':'
1145
+ - Q
1146
+ - Z
1147
+ - $
1148
+ - X
1149
+ - '"'
1150
+ - '&'
1151
+ - '*'
1152
+ - /
1153
+ - £
1154
+ - +
1155
+ - €
1156
+ - _
1157
+ - ^
1158
+ - ¥
1159
+ decoding:
1160
+ strategy: greedy_batch
1161
+ greedy:
1162
+ max_symbols: 10
1163
+ beam:
1164
+ beam_size: 2
1165
+ return_best_hypothesis: false
1166
+ score_norm: true
1167
+ tsd_max_sym_exp: 50
1168
+ alsd_max_target_len: 2.0
1169
+ aux_ctc:
1170
+ ctc_loss_weight: 0.3
1171
+ use_cer: false
1172
+ ctc_reduction: mean_batch
1173
+ decoder:
1174
+ _target_: nemo.collections.asr.modules.ConvASRDecoder
1175
+ feat_in: null
1176
+ num_classes: -1
1177
+ vocabulary: []
1178
+ decoding:
1179
+ strategy: greedy
1180
+ interctc:
1181
+ loss_weights: []
1182
+ apply_at_layers: []
1183
+ loss:
1184
+ loss_name: default
1185
+ warprnnt_numba_kwargs:
1186
+ fastemit_lambda: 0.005
1187
+ clamp: -1.0
1188
+ optim:
1189
+ name: adamw
1190
+ lr: 3.0
1191
+ betas:
1192
+ - 0.9
1193
+ - 0.98
1194
+ weight_decay: 0.001
1195
+ sched:
1196
+ name: NoamAnnealing
1197
+ d_model: 1024
1198
+ warmup_steps: 8000
1199
+ warmup_ratio: null
1200
+ min_lr: 1.0e-06
1201
+ labels:
1202
+ - <unk>
1203
+ - ▁t
1204
+ - ▁th
1205
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1206
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1207
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1208
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1209
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1210
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1211
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1212
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1213
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1214
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1215
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1216
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1217
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1218
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1219
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1220
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1221
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1222
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1223
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1224
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1225
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1226
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1227
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1228
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1229
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1230
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1231
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1232
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1233
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1234
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1235
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1236
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1237
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1238
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1239
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1240
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1241
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1242
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1243
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1244
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1245
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1246
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1247
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1248
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1249
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1250
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1251
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1252
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1253
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1254
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1255
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1256
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1257
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1258
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1259
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1260
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1261
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1262
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1263
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1264
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1265
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1266
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1267
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1268
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1269
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1270
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1271
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1272
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1273
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1274
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1275
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1276
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1278
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1279
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1280
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1281
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1282
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1283
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1284
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1285
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1286
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1287
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1288
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1290
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1292
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1293
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1294
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1296
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1297
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1299
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1300
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1301
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1302
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1303
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1304
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1305
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1306
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1307
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1308
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1309
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1310
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1311
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1312
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1313
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1314
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1315
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1316
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1317
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1318
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1319
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1320
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1321
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1322
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1323
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1324
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1325
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1326
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1327
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1328
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1329
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1330
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1331
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1332
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1333
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1334
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1335
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1336
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1337
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1338
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1339
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1343
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1355
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1356
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1357
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1367
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1368
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1370
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1371
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1373
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1374
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1379
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1382
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1383
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1384
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1385
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1386
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1387
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1388
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1389
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1392
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1394
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1408
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1412
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1417
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1420
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1427
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1428
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1432
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1433
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1434
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1437
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1438
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1439
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1444
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1445
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1446
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1448
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1456
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1458
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1459
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1460
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1461
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1462
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1467
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1468
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1476
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1481
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1482
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1591
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1592
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1596
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1598
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1620
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1621
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1622
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1627
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1628
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1632
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1651
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1652
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1653
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1654
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1655
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1656
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1657
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1661
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1669
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1680
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1681
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1683
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1684
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1692
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1693
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1694
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1695
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1697
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1709
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1711
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1713
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1715
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1716
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1745
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1746
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1754
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1756
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1762
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1766
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1767
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1769
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1771
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1773
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1774
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1778
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1779
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1780
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1781
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1782
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1784
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1785
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1786
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1787
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1788
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1789
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1790
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269
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272
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481
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494
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513
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517
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521
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528
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530
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531
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532
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533
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540
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541
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542
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543
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544
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545
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552
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554
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555
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556
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557
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559
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561
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563
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564
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565
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566
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568
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569
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572
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574
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577
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579
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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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589
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591
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596
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597
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598
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601
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606
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612
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617
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621
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623
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624
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626
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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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636
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648
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654
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664
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668
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669
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679
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685
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689
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700
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701
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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
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719
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721
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722
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723
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724
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725
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726
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727
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728
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731
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733
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734
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736
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737
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738
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742
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744
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745
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746
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747
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748
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749
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750
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751
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752
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757
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758
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760
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761
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763
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764
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765
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766
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767
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770
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775
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776
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777
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778
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779
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780
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781
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782
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783
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784
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785
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786
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787
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788
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789
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790
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791
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792
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793
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794
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795
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796
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797
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798
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799
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800
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801
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802
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803
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804
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805
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806
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807
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808
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809
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810
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811
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812
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813
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814
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815
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816
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817
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818
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819
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824
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825
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827
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829
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830
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833
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834
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836
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837
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839
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840
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849
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852
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858
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860
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862
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863
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864
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866
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868
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873
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874
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876
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879
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883
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884
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886
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887
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888
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889
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890
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892
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893
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894
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895
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896
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897
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898
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899
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900
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901
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902
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903
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904
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905
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906
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907
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908
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909
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910
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911
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912
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913
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914
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915
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916
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917
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918
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919
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920
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921
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922
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923
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924
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925
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926
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927
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928
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929
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930
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931
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932
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933
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934
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935
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936
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937
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938
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939
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940
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941
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942
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943
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944
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945
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946
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947
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948
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949
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950
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951
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952
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953
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954
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955
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956
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957
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958
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959
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960
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961
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962
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963
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964
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965
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966
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967
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968
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969
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970
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971
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972
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973
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974
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975
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976
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977
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978
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979
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980
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981
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982
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983
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984
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985
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986
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987
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988
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989
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990
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991
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992
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993
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994
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995
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996
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997
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998
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999
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1000
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1001
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1002
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1003
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1004
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1005
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1006
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1007
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1008
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1009
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1010
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1011
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1012
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1013
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1014
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1015
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1016
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1017
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1018
+ / -1016
1019
+ £ -1017
1020
+ + -1018
1021
+ € -1019
1022
+ _ -1020
1023
+ ^ -1021
1024
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