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1
+ ---
2
+ tags:
3
+ - espnet
4
+ - audio
5
+ - automatic-speech-recognition
6
+ language: en
7
+ datasets:
8
+ - fsc_challenge
9
+ license: cc-by-4.0
10
+ ---
11
+
12
+ ## ESPnet2 ASR model
13
+
14
+ ### `espnet/fsc_challenge_slu_2pass_transformer`
15
+
16
+ This model was trained by Siddhant using fsc_challenge recipe in [espnet](https://github.com/espnet/espnet/).
17
+
18
+ ### Demo: How to use in ESPnet2
19
+
20
+ Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
21
+ if you haven't done that already.
22
+
23
+ ```bash
24
+ cd espnet
25
+ git checkout 3b54bfe52a294cdfce668c20d777bfa65f413745
26
+ pip install -e .
27
+ cd egs2/fsc_challenge/slu1
28
+ ./run.sh --skip_data_prep false --skip_train true --download_model espnet/fsc_challenge_slu_2pass_transformer
29
+ ```
30
+
31
+ <!-- Generated by scripts/utils/show_asr_result.sh -->
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+ # RESULTS
33
+ ## Environments
34
+ - date: `Tue Feb 1 13:38:02 EST 2022`
35
+ - python version: `3.8.11 (default, Aug 3 2021, 15:09:35) [GCC 7.5.0]`
36
+ - espnet version: `espnet 0.10.3a3`
37
+ - pytorch version: `pytorch 1.9.0+cu102`
38
+ - Git hash: `97b9dad4dbca71702cb7928a126ec45d96414a3f`
39
+ - Commit date: `Mon Sep 13 22:55:04 2021 +0900`
40
+
41
+ ## asr_train_asr_hubert_transformer_adam_specaug_deliberation_transformer_raw_en_word
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+ ### WER
43
+
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+ |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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+ |---|---|---|---|---|---|---|---|---|
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+ |inference_asr_model_valid.acc.ave_5best/spk_test|3349|17937|98.6|1.0|0.4|0.3|1.7|4.4|
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+ |inference_asr_model_valid.acc.ave_5best/spk_test_5|3349|17937|98.6|1.0|0.4|0.3|1.7|4.4|
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+ |inference_asr_model_valid.acc.ave_5best/utt_test|4204|22540|87.7|10.2|2.2|2.8|15.1|42.9|
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+ |inference_asr_model_valid.acc.ave_5best/utt_test_1|4204|22540|30.4|34.6|34.9|3.0|72.5|96.4|
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+ |inference_asr_model_valid.acc.ave_5best/valid|2597|13782|98.8|0.7|0.5|0.2|1.5|3.1|
59
+
60
+ ### CER
61
+
62
+ |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
63
+ |---|---|---|---|---|---|---|---|---|
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+ |inference_asr_model_valid.acc.ave_5best/spk_test|3349|152191|99.3|0.3|0.3|0.2|0.9|4.4|
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+ |inference_asr_model_valid.acc.ave_5best/spk_test_5|3349|152191|99.3|0.3|0.3|0.2|0.9|4.4|
70
+ |inference_asr_model_valid.acc.ave_5best/utt_test|4204|191435|93.8|4.0|2.1|2.9|9.1|42.9|
71
+ |inference_asr_model_valid.acc.ave_5best/utt_test_1|4204|191435|52.8|17.8|29.4|4.3|51.4|96.4|
72
+ |inference_asr_model_valid.acc.ave_5best/utt_test_2|4204|191435|90.2|5.0|4.9|3.0|12.9|51.6|
73
+ |inference_asr_model_valid.acc.ave_5best/utt_test_3|4204|191435|93.5|4.1|2.4|2.9|9.4|43.3|
74
+ |inference_asr_model_valid.acc.ave_5best/utt_test_4|4204|191435|93.8|4.0|2.2|2.9|9.1|43.0|
75
+ |inference_asr_model_valid.acc.ave_5best/utt_test_5|4204|191435|93.8|4.0|2.2|2.9|9.1|43.0|
76
+ |inference_asr_model_valid.acc.ave_5best/valid|2597|117282|99.3|0.3|0.3|0.2|0.8|3.1|
77
+
78
+ ### TER
79
+
80
+ |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
81
+ |---|---|---|---|---|---|---|---|---|
82
+
83
+ ## ASR config
84
+
85
+ <details><summary>expand</summary>
86
+
87
+ ```
88
+ config: conf/tuning/train_asr_hubert_transformer_adam_specaug_deliberation_transformer.yaml
89
+ print_config: false
90
+ log_level: INFO
91
+ dry_run: false
92
+ iterator_type: sequence
93
+ output_dir: exp/asr_train_asr_hubert_transformer_adam_specaug_deliberation_transformer_raw_en_word
94
+ ngpu: 1
95
+ seed: 0
96
+ num_workers: 1
97
+ num_att_plot: 3
98
+ dist_backend: nccl
99
+ dist_init_method: env://
100
+ dist_world_size: null
101
+ dist_rank: null
102
+ local_rank: 0
103
+ dist_master_addr: null
104
+ dist_master_port: null
105
+ dist_launcher: null
106
+ multiprocessing_distributed: false
107
+ unused_parameters: false
108
+ sharded_ddp: false
109
+ cudnn_enabled: true
110
+ cudnn_benchmark: false
111
+ cudnn_deterministic: true
112
+ collect_stats: false
113
+ write_collected_feats: false
114
+ max_epoch: 80
115
+ patience: null
116
+ val_scheduler_criterion:
117
+ - valid
118
+ - loss
119
+ early_stopping_criterion:
120
+ - valid
121
+ - loss
122
+ - min
123
+ best_model_criterion:
124
+ - - train
125
+ - loss
126
+ - min
127
+ - - valid
128
+ - loss
129
+ - min
130
+ - - train
131
+ - acc
132
+ - max
133
+ - - valid
134
+ - acc
135
+ - max
136
+ keep_nbest_models: 5
137
+ grad_clip: 5.0
138
+ grad_clip_type: 2.0
139
+ grad_noise: false
140
+ accum_grad: 1
141
+ no_forward_run: false
142
+ resume: true
143
+ train_dtype: float32
144
+ use_amp: false
145
+ log_interval: null
146
+ use_tensorboard: true
147
+ use_wandb: false
148
+ wandb_project: null
149
+ wandb_id: null
150
+ wandb_entity: null
151
+ wandb_name: null
152
+ wandb_model_log_interval: -1
153
+ detect_anomaly: false
154
+ pretrain_path: null
155
+ init_param:
156
+ - ../../fsc_challenge/asr1/exp/asr_train_asr_hubert_transformer_adam_specaug_old_raw_en_word/valid.acc.ave_5best.pth:encoder:encoder
157
+ ignore_init_mismatch: false
158
+ freeze_param:
159
+ - encoder
160
+ - postdecoder.model
161
+ - frontend.upstream
162
+ num_iters_per_epoch: null
163
+ batch_size: 20
164
+ valid_batch_size: null
165
+ batch_bins: 1000000
166
+ valid_batch_bins: null
167
+ train_shape_file:
168
+ - exp/asr_stats_raw_en_word/train/speech_shape
169
+ - exp/asr_stats_raw_en_word/train/text_shape.word
170
+ - exp/asr_stats_raw_en_word/train/transcript_shape.word
171
+ valid_shape_file:
172
+ - exp/asr_stats_raw_en_word/valid/speech_shape
173
+ - exp/asr_stats_raw_en_word/valid/text_shape.word
174
+ - exp/asr_stats_raw_en_word/valid/transcript_shape.word
175
+ batch_type: folded
176
+ valid_batch_type: null
177
+ fold_length:
178
+ - 80000
179
+ - 150
180
+ - 150
181
+ sort_in_batch: descending
182
+ sort_batch: descending
183
+ multiple_iterator: false
184
+ chunk_length: 500
185
+ chunk_shift_ratio: 0.5
186
+ num_cache_chunks: 1024
187
+ train_data_path_and_name_and_type:
188
+ - - dump/raw/train/wav.scp
189
+ - speech
190
+ - sound
191
+ - - dump/raw/train/text
192
+ - text
193
+ - text
194
+ - - dump/raw/train/transcript
195
+ - transcript
196
+ - text
197
+ valid_data_path_and_name_and_type:
198
+ - - dump/raw/valid/wav.scp
199
+ - speech
200
+ - sound
201
+ - - dump/raw/valid/text
202
+ - text
203
+ - text
204
+ - - dump/raw/valid/transcript
205
+ - transcript
206
+ - text
207
+ allow_variable_data_keys: false
208
+ max_cache_size: 0.0
209
+ max_cache_fd: 32
210
+ valid_max_cache_size: null
211
+ optim: adam
212
+ optim_conf:
213
+ lr: 0.0002
214
+ scheduler: warmuplr
215
+ scheduler_conf:
216
+ warmup_steps: 25000
217
+ token_list:
218
+ - <blank>
219
+ - <unk>
220
+ - the
221
+ - turn
222
+ - lights
223
+ - in
224
+ - up
225
+ - 'on'
226
+ - down
227
+ - temperature
228
+ - heat
229
+ - switch
230
+ - kitchen
231
+ - volume
232
+ - 'off'
233
+ - increase_volume_none
234
+ - bedroom
235
+ - washroom
236
+ - decrease_volume_none
237
+ - language
238
+ - bathroom
239
+ - decrease
240
+ - my
241
+ - to
242
+ - increase
243
+ - decrease_heat_washroom
244
+ - increase_heat_washroom
245
+ - music
246
+ - heating
247
+ - bring
248
+ - increase_heat_none
249
+ - too
250
+ - decrease_heat_none
251
+ - me
252
+ - change_language_none_none
253
+ - activate_lights_washroom
254
+ - set
255
+ - activate_lights_kitchen
256
+ - activate_music_none
257
+ - lamp
258
+ - deactivate_music_none
259
+ - increase_heat_bedroom
260
+ - i
261
+ - increase_heat_kitchen
262
+ - sound
263
+ - get
264
+ - decrease_heat_kitchen
265
+ - loud
266
+ - activate_lights_bedroom
267
+ - deactivate_lights_bedroom
268
+ - decrease_heat_bedroom
269
+ - need
270
+ - deactivate_lights_kitchen
271
+ - bring_newspaper_none
272
+ - newspaper
273
+ - bring_shoes_none
274
+ - shoes
275
+ - bring_socks_none
276
+ - socks
277
+ - activate_lights_none
278
+ - deactivate_lights_none
279
+ - louder
280
+ - go
281
+ - deactivate_lights_washroom
282
+ - change_language_Chinese_none
283
+ - chinese
284
+ - could
285
+ - you
286
+ - bring_juice_none
287
+ - juice
288
+ - deactivate_lamp_none
289
+ - make
290
+ - activate_lamp_none
291
+ - it
292
+ - stop
293
+ - play
294
+ - change
295
+ - quiet
296
+ - change_language_Korean_none
297
+ - korean
298
+ - some
299
+ - practice
300
+ - change_language_German_none
301
+ - german
302
+ - ok
303
+ - now
304
+ - main
305
+ - change_language_English_none
306
+ - english
307
+ - its
308
+ - hear
309
+ - pause
310
+ - this
311
+ - thats
312
+ - lower
313
+ - far
314
+ - audio
315
+ - please
316
+ - fetch
317
+ - phones
318
+ - a
319
+ - different
320
+ - start
321
+ - resume
322
+ - softer
323
+ - couldnt
324
+ - anything
325
+ - quieter
326
+ - put
327
+ - video
328
+ - is
329
+ - low
330
+ - max
331
+ - phone
332
+ - mute
333
+ - reduce
334
+ - use
335
+ - languages
336
+ - allow
337
+ - device
338
+ - system
339
+ - <sos/eos>
340
+ transcript_token_list:
341
+ - <blank>
342
+ - <unk>
343
+ - the
344
+ - turn
345
+ - in
346
+ - lights
347
+ - up
348
+ - down
349
+ - 'on'
350
+ - temperature
351
+ - heat
352
+ - kitchen
353
+ - switch
354
+ - 'off'
355
+ - volume
356
+ - bedroom
357
+ - language
358
+ - to
359
+ - washroom
360
+ - bathroom
361
+ - my
362
+ - increase
363
+ - decrease
364
+ - music
365
+ - heating
366
+ - bring
367
+ - me
368
+ - too
369
+ - i
370
+ - set
371
+ - sound
372
+ - get
373
+ - and
374
+ - lamp
375
+ - loud
376
+ - a
377
+ - need
378
+ - you
379
+ - shoes
380
+ - socks
381
+ - newspaper
382
+ - it
383
+ - light
384
+ - louder
385
+ - chinese
386
+ - could
387
+ - go
388
+ - make
389
+ - juice
390
+ - some
391
+ - main
392
+ - stop
393
+ - change
394
+ - quiet
395
+ - practice
396
+ - english
397
+ - german
398
+ - now
399
+ - play
400
+ - korean
401
+ - okay
402
+ - it's
403
+ - room
404
+ - that's
405
+ - of
406
+ - hear
407
+ - is
408
+ - different
409
+ - wash
410
+ - this
411
+ - lower
412
+ - fetch
413
+ - audio
414
+ - please
415
+ - far
416
+ - pause
417
+ - start
418
+ - use
419
+ - two
420
+ - phone
421
+ - low
422
+ - softer
423
+ - put
424
+ - bed
425
+ - video
426
+ - couldn't
427
+ - languages
428
+ - max
429
+ - quieter
430
+ - allow
431
+ - system
432
+ - mute
433
+ - phone's
434
+ - reduce
435
+ - resume
436
+ - anything
437
+ - device
438
+ - washer
439
+ - ten
440
+ - that
441
+ - which
442
+ - paper
443
+ - phones
444
+ - they
445
+ - so
446
+ - him
447
+ - news
448
+ - um
449
+ - from
450
+ - he
451
+ - out
452
+ - crease
453
+ - your
454
+ - ah
455
+ - better
456
+ - but
457
+ - late
458
+ - value
459
+ - k
460
+ - washing
461
+ - turned
462
+ - don't
463
+ - then
464
+ - o
465
+ - whites
466
+ - hating
467
+ - any
468
+ - said
469
+ - buy
470
+ - lies
471
+ - by
472
+ - watch
473
+ - give
474
+ - one
475
+ - done
476
+ - them
477
+ - hit
478
+ - place
479
+ - jews
480
+ - mites
481
+ - send
482
+ - for
483
+ - thing
484
+ - night
485
+ - not
486
+ - languish
487
+ - after
488
+ - was
489
+ - decreased
490
+ - lots
491
+ - pass
492
+ - dream
493
+ - bad
494
+ - life
495
+ - do
496
+ - search
497
+ - case
498
+ - increased
499
+ - corian
500
+ - we
501
+ - swish
502
+ - valium
503
+ - lamb
504
+ - or
505
+ - right
506
+ - row
507
+ - germans
508
+ - their
509
+ - 'no'
510
+ - soft
511
+ - time
512
+ - like
513
+ - own
514
+ - swiss
515
+ - can
516
+ - song
517
+ - nights
518
+ - lines
519
+ - eating
520
+ - bottom
521
+ - us
522
+ - are
523
+ - churn
524
+ - hate
525
+ - load
526
+ - top
527
+ - em
528
+ - take
529
+ - what's
530
+ - ok
531
+ - chain
532
+ - lates
533
+ - here
534
+ - with
535
+ - quite
536
+ - lice
537
+ - at
538
+ - lap
539
+ - am
540
+ - heap
541
+ - lampon
542
+ - temper
543
+ - tough
544
+ - hitting
545
+ - zone
546
+ - john
547
+ - three
548
+ - may
549
+ - vine
550
+ - bath
551
+ - keep
552
+ - into
553
+ - burn
554
+ - light's
555
+ - map
556
+ - meat
557
+ - eat
558
+ - sat
559
+ - new
560
+ - day
561
+ - white
562
+ - r
563
+ - what
564
+ - sheet
565
+ - line
566
+ - town
567
+ - through
568
+ - watchroom
569
+ - sign
570
+ - brain
571
+ - tan
572
+ - south
573
+ - kitten
574
+ - sit
575
+ - such
576
+ - should
577
+ - back
578
+ - rights
579
+ - shows
580
+ - knees
581
+ - choose
582
+ - meet
583
+ - likes
584
+ - sarks
585
+ - say
586
+ - frame
587
+ - boss
588
+ - land
589
+ - bar
590
+ - bites
591
+ - plays
592
+ - might
593
+ - our
594
+ - washerm
595
+ - bit
596
+ - she
597
+ - kit
598
+ - his
599
+ - tip
600
+ - she's
601
+ - fire
602
+ - free
603
+ - find
604
+ - bringing
605
+ - mics
606
+ - priest
607
+ - they're
608
+ - heats
609
+ - run
610
+ - shears
611
+ - fish
612
+ - stone
613
+ - tone
614
+ - there
615
+ - picture
616
+ - sent
617
+ - t
618
+ - bitum
619
+ - sweet
620
+ - sun
621
+ - ring
622
+ - love
623
+ - i'll
624
+ - pin
625
+ - vi
626
+ - try
627
+ - have
628
+ - bather
629
+ - be
630
+ - temp
631
+ - zoom
632
+ - all
633
+ - earn
634
+ - bethroom
635
+ - sucks
636
+ - fit
637
+ - as
638
+ - lives
639
+ - break
640
+ - sick
641
+ - arm
642
+ - thee
643
+ - miss
644
+ - basroom
645
+ - viam
646
+ - turns
647
+ - found
648
+ - dumb
649
+ - ladder
650
+ - trend
651
+ - vime
652
+ - viome
653
+ - if
654
+ - bathroomites
655
+ - tom
656
+ - during
657
+ - bat
658
+ - they'll
659
+ - wish
660
+ - way
661
+ - four
662
+ - about
663
+ - cheese
664
+ - mean
665
+ - nice
666
+ - ocean
667
+ - page
668
+ - turning
669
+ - still
670
+ - souths
671
+ - thy
672
+ - stand
673
+ - ding
674
+ - while
675
+ - who
676
+ - white's
677
+ - step
678
+ - switchy
679
+ - made
680
+ - mason
681
+ - see
682
+ - ashroom
683
+ - vice
684
+ - switched
685
+ - la
686
+ - ton
687
+ - washering
688
+ - favor
689
+ - via
690
+ - i'm
691
+ - betum
692
+ - create
693
+ - you're
694
+ - played
695
+ - green
696
+ - blank
697
+ - bassroom
698
+ - rim
699
+ - nap
700
+ - oh
701
+ - lay
702
+ - grease
703
+ - ice
704
+ - ball
705
+ - kitchens
706
+ - x
707
+ - nine
708
+ - her
709
+ - bridge
710
+ - pies
711
+ - pepper
712
+ - attempture
713
+ - rain
714
+ - wastrom
715
+ - peace
716
+ - b
717
+ - push
718
+ - bound
719
+ - lawyer
720
+ - these
721
+ - let
722
+ - fast
723
+ - star
724
+ - drone
725
+ - sauce
726
+ - practise
727
+ - veteran
728
+ - paul's
729
+ - fall
730
+ - temporary
731
+ - chop
732
+ - key
733
+ - bow
734
+ - daylights
735
+ - loader
736
+ - water
737
+ - twitch
738
+ - chains
739
+ - lion
740
+ - getting
741
+ - pars
742
+ - code
743
+ - fly
744
+ - makes
745
+ - offs
746
+ - lie
747
+ - jim
748
+ - tear
749
+ - sacks
750
+ - fine
751
+ - print
752
+ - five
753
+ - tap
754
+ - ye
755
+ - mind
756
+ - foot
757
+ - kiss
758
+ - fat
759
+ - writes
760
+ - will
761
+ - switcher
762
+ - de
763
+ - baton
764
+ - man
765
+ - yeah
766
+ - piece
767
+ - vol
768
+ - saw
769
+ - come
770
+ - m
771
+ - when
772
+ - talk
773
+ - round
774
+ - niece
775
+ - musing
776
+ - open
777
+ - throw
778
+ - bathing
779
+ - viim
780
+ - know
781
+ - head
782
+ - teacher
783
+ - 'true'
784
+ - term
785
+ - lord
786
+ - orshroom
787
+ - trace
788
+ - feature
789
+ - sock
790
+ - seas
791
+ - sweets
792
+ - layup
793
+ - slang
794
+ - stream
795
+ - drum
796
+ - d
797
+ - plan
798
+ - chun
799
+ - sell
800
+ - left
801
+ - leg
802
+ - settling
803
+ - men
804
+ - bathter
805
+ - 'false'
806
+ - stay
807
+ - chapter
808
+ - jane
809
+ - son
810
+ - rates
811
+ - q
812
+ - christie
813
+ - awesome
814
+ - tongue
815
+ - chaff
816
+ - there's
817
+ - outer
818
+ - clouder
819
+ - past
820
+ - red
821
+ - chair
822
+ - lab
823
+ - shares
824
+ - enough
825
+ - fund
826
+ - license
827
+ - semi-phones
828
+ - bones
829
+ - sown
830
+ - ups
831
+ - needs
832
+ - can't
833
+ - kitchenites
834
+ - drop
835
+ - let's
836
+ - french
837
+ - tempter
838
+ - source
839
+ - beth
840
+ - trying
841
+ - volumes
842
+ - slides
843
+ - atherm
844
+ - app
845
+ - battle
846
+ - drawing
847
+ - 'yes'
848
+ - trees
849
+ - twenty
850
+ - pleas
851
+ - large
852
+ - worship
853
+ - oz
854
+ - deep
855
+ - bathrooms
856
+ - loudest
857
+ - trim
858
+ - playing
859
+ - saudi
860
+ - volley
861
+ - its
862
+ - bite
863
+ - wall
864
+ - heater
865
+ - bond
866
+ - sand
867
+ - catch
868
+ - loss
869
+ - tender
870
+ - long
871
+ - dam
872
+ - heen
873
+ - might's
874
+ - fits
875
+ - sue
876
+ - eight
877
+ - pray
878
+ - sail
879
+ - sounds
880
+ - ain't
881
+ - lang
882
+ - spatroom
883
+ - part
884
+ - pitch
885
+ - matron
886
+ - jump
887
+ - wrong
888
+ - kills
889
+ - why
890
+ - band
891
+ - name
892
+ - ply
893
+ - piper
894
+ - thrown
895
+ - roll
896
+ - would
897
+ - self
898
+ - same
899
+ - js
900
+ - wash-rame
901
+ - bed-room
902
+ - lot's
903
+ - swits
904
+ - favour
905
+ - meter
906
+ - assume
907
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908
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2939
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3109
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3112
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3119
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3126
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3141
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3207
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3224
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3229
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3260
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3267
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3268
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3270
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3325
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3330
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3354
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3495
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3496
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3497
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3498
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3499
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3500
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3501
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3502
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3503
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3504
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3505
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3506
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3507
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3508
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3509
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3510
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3511
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3512
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3513
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3514
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3515
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3516
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3517
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3518
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3519
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3520
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3521
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3522
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3523
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3524
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3525
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3526
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3527
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3528
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3529
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3530
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3531
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3532
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3533
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3534
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3535
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3536
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3537
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3538
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3539
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3540
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3541
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3542
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3543
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3544
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3545
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3546
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3547
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3548
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3549
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3550
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3551
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3552
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3553
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3554
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3555
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3556
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3557
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3558
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3559
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3560
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3561
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3562
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3563
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3564
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3565
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3566
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3567
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3568
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3569
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3570
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3571
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3572
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3573
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3574
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3575
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3576
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3577
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3578
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3579
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3580
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3581
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3582
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3583
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3584
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3585
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3586
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3587
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3588
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3589
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3590
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3591
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3592
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3593
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3594
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3595
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3596
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3597
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3598
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3599
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3600
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3601
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3602
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3603
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3604
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3605
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3606
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3607
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3608
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3609
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3610
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3611
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3612
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3613
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3614
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3615
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3616
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3617
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3618
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3619
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3620
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3621
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3622
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3623
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3624
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3625
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3626
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3627
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3628
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3629
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3630
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3631
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3632
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3633
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3634
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3635
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3636
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3637
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3638
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3639
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3640
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3641
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3642
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3643
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3644
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3645
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3646
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3647
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3648
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3649
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3650
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3651
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3652
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3653
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3654
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3655
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3656
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3657
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3658
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3659
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3660
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3661
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3662
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3663
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3664
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3665
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3666
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3667
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3668
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3669
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3670
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3671
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3672
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3673
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3674
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3675
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3676
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3677
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3678
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3679
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3680
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3681
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3682
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3683
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3684
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3685
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3686
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3687
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3688
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3689
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3690
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3691
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3692
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3693
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3694
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3695
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3696
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3697
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3698
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3699
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3700
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3701
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3702
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3703
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3704
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3705
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3706
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3707
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3708
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3709
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3710
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3711
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3712
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3713
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3714
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3715
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3716
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3717
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3718
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3719
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3720
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3721
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3722
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3723
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3724
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3725
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3726
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3727
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3728
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3729
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3730
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3731
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3732
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3733
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3734
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3735
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3736
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3737
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3738
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3739
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3740
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3741
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3742
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3743
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3744
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3745
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3746
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3747
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3748
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3749
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3750
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3751
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3752
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3753
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3754
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3755
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3756
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3757
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3758
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3759
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3760
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3761
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3762
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3763
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3764
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3765
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3766
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3767
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3768
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3769
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3770
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3771
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3772
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3773
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3774
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3775
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3776
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3777
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3778
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3779
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3780
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3781
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3782
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3783
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3784
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3785
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3786
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3787
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3788
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3789
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3790
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3791
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3792
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3793
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3794
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3795
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3796
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3797
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3798
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3799
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3800
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3801
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3802
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3803
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3804
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3805
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3806
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3807
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3808
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3809
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3810
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3811
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3812
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3813
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3814
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3815
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3816
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3817
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3818
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3819
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3820
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3821
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3822
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3823
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3824
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3825
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3826
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3827
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3828
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3829
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3830
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3831
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3832
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3833
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3834
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3835
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3836
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3837
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3838
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3839
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3840
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3841
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3842
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3843
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3844
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3845
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3846
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3847
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3848
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3849
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3850
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3851
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3852
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3853
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3854
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3855
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3856
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3857
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3858
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3859
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3860
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3861
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3862
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3863
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3864
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3865
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3866
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3867
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3868
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3869
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3870
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3871
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3872
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3873
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3874
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3875
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3876
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3877
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3878
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3879
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3880
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3881
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3882
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3883
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3884
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3885
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3886
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3887
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3888
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3889
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3890
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3891
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3892
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3893
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3894
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3895
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3896
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3897
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3898
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3899
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3900
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3901
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3902
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3903
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3904
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3905
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3906
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3907
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3908
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3909
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3910
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3911
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3912
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3913
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3914
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3915
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3916
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3917
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3918
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3919
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3920
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3921
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3922
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3923
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3924
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3925
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3926
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3927
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3928
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3929
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3930
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3931
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3932
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3933
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3934
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3935
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3936
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3937
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3938
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3939
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3940
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3941
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3942
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3943
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3944
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3945
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3946
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3947
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3948
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3949
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3950
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3951
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3952
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3953
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3954
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3955
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3956
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3957
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3958
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3959
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3960
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3961
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3962
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3963
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3964
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3965
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3966
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3967
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3968
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3969
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3970
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3971
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3972
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3973
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3974
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3975
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3976
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3977
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3978
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3979
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3980
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3981
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3982
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3983
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3984
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3985
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3986
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3987
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3988
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3989
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3990
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3991
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3992
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3993
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3994
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3995
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3996
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3997
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3998
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3999
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4000
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4001
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4002
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4003
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4004
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4005
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4006
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4007
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4008
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4009
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4010
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4011
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4012
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4013
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4014
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4015
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4016
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4017
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4018
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4019
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4020
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4021
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4022
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4023
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4024
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4025
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4026
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4027
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4028
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4029
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4030
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4031
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4032
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4033
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4034
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4035
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4036
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4037
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4038
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4039
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4040
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4041
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4042
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4043
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4044
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4045
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4046
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4047
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4048
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4049
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4050
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4051
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4052
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4053
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4054
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4055
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4056
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4057
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4058
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4059
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4060
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4061
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4062
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4063
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4064
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4065
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4066
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4067
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4068
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4069
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4070
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4071
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4072
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4073
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4074
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4075
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4076
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4077
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4078
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4079
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4080
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4081
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4082
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4083
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4084
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4085
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4086
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4087
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4088
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4089
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4090
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4091
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4092
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4093
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4094
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4095
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4096
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4097
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4098
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4099
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4100
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4101
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4102
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4103
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4104
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4105
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4106
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4107
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4108
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4109
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4110
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4111
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4112
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4113
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4114
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4115
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4116
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4117
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4118
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4119
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4120
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4121
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4122
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4123
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4124
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4125
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4126
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4127
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4128
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4129
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4130
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4131
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4132
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4133
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4134
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4135
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4136
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4137
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4138
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4139
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4140
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4141
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4142
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4143
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4144
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4145
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4146
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4147
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4148
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4149
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4150
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4151
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4152
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4153
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4154
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4155
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4156
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4157
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4158
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4159
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4160
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4161
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4162
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4163
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4164
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4165
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4166
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4167
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4168
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4169
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4170
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4171
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4172
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4173
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4174
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4175
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4176
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4177
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4178
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4179
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4180
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4181
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4182
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4183
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4184
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4185
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4186
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4187
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4188
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4189
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4190
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4191
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4192
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4193
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4194
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4195
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4196
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4197
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4198
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4199
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4200
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4201
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4202
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4203
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4204
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4205
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4206
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4207
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4208
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4209
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4210
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4211
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4212
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4213
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4214
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4215
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4216
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4217
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4218
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4219
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4220
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4221
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4222
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4223
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4224
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4225
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4226
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4227
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4228
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4229
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4230
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4231
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4232
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4233
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4234
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4235
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4236
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4237
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4238
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4239
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4240
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4241
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4242
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4243
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4244
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4245
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4246
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4247
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4248
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4249
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4250
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4251
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4252
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4253
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4254
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4255
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4256
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4257
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4258
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4259
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4260
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4261
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4262
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4263
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4264
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4265
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4266
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4267
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4268
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4269
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4270
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4271
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4272
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4273
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4274
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4275
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4276
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4277
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4278
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4279
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4280
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4281
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4282
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4283
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4284
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4285
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4286
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4287
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4288
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4289
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4290
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4291
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4292
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4293
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4294
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4295
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4296
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4297
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4298
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4299
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4300
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4301
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4302
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4303
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4304
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4305
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4306
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4307
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4308
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4310
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4311
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4312
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4313
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4314
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4315
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4316
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4317
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4318
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4319
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4320
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4321
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4322
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4323
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4324
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4325
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4326
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4327
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4328
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4329
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4330
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4331
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4332
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4333
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4334
+ - level
4335
+ - auto
4336
+ - whips
4337
+ - lesson
4338
+ - killers
4339
+ - internalized
4340
+ - substituting
4341
+ - metro
4342
+ - tumblena
4343
+ - holy
4344
+ - folio
4345
+ - silence
4346
+ - worm
4347
+ - dvo
4348
+ - immute
4349
+ - doesn't
4350
+ - direction
4351
+ - tiquisidom
4352
+ - village
4353
+ - magic
4354
+ - whether
4355
+ - fatalouts
4356
+ - hot
4357
+ - thoughts
4358
+ - swipe
4359
+ - resem
4360
+ - wife
4361
+ - shoe
4362
+ - wiped
4363
+ - wipes
4364
+ - kits
4365
+ - battering
4366
+ - sweats
4367
+ - readase
4368
+ - jesus
4369
+ - switchs
4370
+ - g's
4371
+ - faium
4372
+ - wits
4373
+ - al
4374
+ - scream
4375
+ - taine
4376
+ - wids
4377
+ - sweat
4378
+ - mease
4379
+ - sees
4380
+ - lieout
4381
+ - salter
4382
+ - taints
4383
+ - founds
4384
+ - traced
4385
+ - sailed
4386
+ - bathtering
4387
+ - nail
4388
+ - ing
4389
+ - loose
4390
+ - hates
4391
+ - taint
4392
+ - languids
4393
+ - watering
4394
+ - bleed
4395
+ - vium
4396
+ - sam
4397
+ - liout
4398
+ - professor
4399
+ - paying
4400
+ - cogate
4401
+ - mushrooms
4402
+ - interpreter
4403
+ - library
4404
+ - words
4405
+ - unrate
4406
+ - insist
4407
+ - work
4408
+ - western
4409
+ - belenn
4410
+ - gangs
4411
+ - bodier
4412
+ - training
4413
+ - money
4414
+ - veil
4415
+ - patron
4416
+ - jonatha
4417
+ - mars
4418
+ - mainland
4419
+ - wasuporian
4420
+ - who's
4421
+ - starting
4422
+ - peretry
4423
+ - filtering
4424
+ - transformative
4425
+ - written
4426
+ - suit
4427
+ - defeat
4428
+ - nana
4429
+ - menasa
4430
+ - edbraphone
4431
+ - goes
4432
+ - der
4433
+ - reperator
4434
+ - segmaphone
4435
+ - nagostuperium
4436
+ - rating
4437
+ - competitive
4438
+ - betty
4439
+ - hasan
4440
+ - ventro
4441
+ - tantam
4442
+ - davos
4443
+ - suttape
4444
+ - loudness
4445
+ - random
4446
+ - volimex
4447
+ - posta
4448
+ - repellent
4449
+ - study
4450
+ - taste
4451
+ - sample
4452
+ - boiling
4453
+ - lysome
4454
+ - boy
4455
+ - states
4456
+ - lars
4457
+ - factor
4458
+ - point
4459
+ - nicer
4460
+ - sounder
4461
+ - boliam
4462
+ - poly
4463
+ - boom
4464
+ - bowling
4465
+ - body
4466
+ - chakawaliman
4467
+ - misploder
4468
+ - borium
4469
+ - thousand
4470
+ - stoke
4471
+ - islam
4472
+ - table
4473
+ - basic
4474
+ - temporator
4475
+ - quarters
4476
+ - middle
4477
+ - easter
4478
+ - antos
4479
+ - tools
4480
+ - painters
4481
+ - trans
4482
+ - world
4483
+ - sense
4484
+ - dieting
4485
+ - oaks
4486
+ - raising
4487
+ - been
4488
+ - mashaws
4489
+ - transfer
4490
+ - temples
4491
+ - <sos/eos>
4492
+ ctc_weight: 0.5
4493
+ ignore_id: -1
4494
+ lsm_weight: 0.0
4495
+ length_normalized_loss: false
4496
+ report_cer: true
4497
+ report_wer: true
4498
+ sym_space: <space>
4499
+ sym_blank: <blank>
4500
+ extract_feats_in_collect_stats: true
4501
+ two_pass: false
4502
+ pre_postencoder_norm: false
4503
+ use_preprocessor: true
4504
+ token_type: word
4505
+ bpemodel: null
4506
+ non_linguistic_symbols: null
4507
+ cleaner: null
4508
+ g2p: null
4509
+ speech_volume_normalize: null
4510
+ rir_scp: null
4511
+ rir_apply_prob: 1.0
4512
+ noise_scp: null
4513
+ noise_apply_prob: 1.0
4514
+ noise_db_range: '13_15'
4515
+ frontend: s3prl
4516
+ frontend_conf:
4517
+ frontend_conf:
4518
+ upstream: hubert_large_ll60k
4519
+ download_dir: ./hub
4520
+ multilayer_feature: true
4521
+ fs: 16k
4522
+ specaug: specaug
4523
+ specaug_conf:
4524
+ apply_time_warp: true
4525
+ time_warp_window: 5
4526
+ time_warp_mode: bicubic
4527
+ apply_freq_mask: true
4528
+ freq_mask_width_range:
4529
+ - 0
4530
+ - 30
4531
+ num_freq_mask: 2
4532
+ apply_time_mask: true
4533
+ time_mask_width_range:
4534
+ - 0
4535
+ - 40
4536
+ num_time_mask: 2
4537
+ normalize: utterance_mvn
4538
+ normalize_conf: {}
4539
+ preencoder: linear
4540
+ preencoder_conf:
4541
+ input_size: 1024
4542
+ output_size: 80
4543
+ encoder: transformer
4544
+ encoder_conf:
4545
+ output_size: 256
4546
+ attention_heads: 4
4547
+ linear_units: 2048
4548
+ num_blocks: 12
4549
+ dropout_rate: 0.1
4550
+ positional_dropout_rate: 0.1
4551
+ attention_dropout_rate: 0.0
4552
+ input_layer: conv2d
4553
+ normalize_before: true
4554
+ postencoder: null
4555
+ postencoder_conf: {}
4556
+ deliberationencoder: transformer
4557
+ deliberationencoder_conf:
4558
+ output_size: 256
4559
+ attention_heads: 4
4560
+ linear_units: 2048
4561
+ num_blocks: 12
4562
+ dropout_rate: 0.1
4563
+ positional_dropout_rate: 0.1
4564
+ attention_dropout_rate: 0.0
4565
+ input_layer: linear
4566
+ normalize_before: true
4567
+ decoder: transformer
4568
+ decoder_conf:
4569
+ attention_heads: 4
4570
+ linear_units: 2048
4571
+ num_blocks: 6
4572
+ dropout_rate: 0.1
4573
+ positional_dropout_rate: 0.1
4574
+ self_attention_dropout_rate: 0.0
4575
+ src_attention_dropout_rate: 0.0
4576
+ decoder2: rnn
4577
+ decoder2_conf: {}
4578
+ postdecoder: hugging_face_transformers
4579
+ postdecoder_conf:
4580
+ model_name_or_path: bert-base-cased
4581
+ output_size: 256
4582
+ required:
4583
+ - output_dir
4584
+ - token_list
4585
+ version: 0.10.3a3
4586
+ distributed: false
4587
+ ```
4588
+
4589
+ </details>
4590
+
4591
+
4592
+
4593
+ ### Citing ESPnet
4594
+
4595
+ ```BibTex
4596
+ @inproceedings{watanabe2018espnet,
4597
+ author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
4598
+ title={{ESPnet}: End-to-End Speech Processing Toolkit},
4599
+ year={2018},
4600
+ booktitle={Proceedings of Interspeech},
4601
+ pages={2207--2211},
4602
+ doi={10.21437/Interspeech.2018-1456},
4603
+ url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
4604
+ }
4605
+
4606
+
4607
+
4608
+
4609
+ ```
4610
+
4611
+ or arXiv:
4612
+
4613
+ ```bibtex
4614
+ @misc{watanabe2018espnet,
4615
+ title={ESPnet: End-to-End Speech Processing Toolkit},
4616
+ author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
4617
+ year={2018},
4618
+ eprint={1804.00015},
4619
+ archivePrefix={arXiv},
4620
+ primaryClass={cs.CL}
4621
+ }
4622
+ ```
meta.yaml ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ espnet: '202207'
2
+ files:
3
+ slu_model_file: /ocean/projects/cis210027p/siddhana/new_folder/espnet/egs2/fsc_challenge/asr2/asr1/exp/asr_train_asr_hubert_transformer_adam_specaug_deliberation_transformer_raw_en_word/valid.acc.ave_5best.pth
4
+ python: "3.9.5 (default, Jun 4 2021, 12:28:51) \n[GCC 7.5.0]"
5
+ timestamp: 1663102981.61923
6
+ torch: 1.12.1+cu113
7
+ yaml_files:
8
+ slu_train_config: /ocean/projects/cis210027p/siddhana/new_folder/espnet/egs2/fsc_challenge/asr2/asr1/exp/asr_train_asr_hubert_transformer_adam_specaug_deliberation_transformer_raw_en_word/config.yaml
ocean/projects/cis210027p/siddhana/new_folder/espnet/egs2/fsc_challenge/asr2/asr1/exp/asr_train_asr_hubert_transformer_adam_specaug_deliberation_transformer_raw_en_word/RESULTS.md ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <!-- Generated by scripts/utils/show_asr_result.sh -->
2
+ # RESULTS
3
+ ## Environments
4
+ - date: `Tue Feb 1 13:38:02 EST 2022`
5
+ - python version: `3.8.11 (default, Aug 3 2021, 15:09:35) [GCC 7.5.0]`
6
+ - espnet version: `espnet 0.10.3a3`
7
+ - pytorch version: `pytorch 1.9.0+cu102`
8
+ - Git hash: `97b9dad4dbca71702cb7928a126ec45d96414a3f`
9
+ - Commit date: `Mon Sep 13 22:55:04 2021 +0900`
10
+
11
+ ## asr_train_asr_hubert_transformer_adam_specaug_deliberation_transformer_raw_en_word
12
+ ### WER
13
+
14
+ |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
15
+ |---|---|---|---|---|---|---|---|---|
16
+ |inference_asr_model_valid.acc.ave_5best/spk_test|3349|17937|98.6|1.0|0.4|0.3|1.7|4.4|
17
+ |inference_asr_model_valid.acc.ave_5best/spk_test_1|3349|17937|35.2|30.8|33.9|2.1|66.8|82.0|
18
+ |inference_asr_model_valid.acc.ave_5best/spk_test_2|3349|17937|92.6|3.1|4.3|0.4|7.8|14.2|
19
+ |inference_asr_model_valid.acc.ave_5best/spk_test_3|3349|17937|98.3|1.1|0.6|0.3|2.1|5.2|
20
+ |inference_asr_model_valid.acc.ave_5best/spk_test_4|3349|17937|98.6|1.0|0.4|0.3|1.7|4.5|
21
+ |inference_asr_model_valid.acc.ave_5best/spk_test_5|3349|17937|98.6|1.0|0.4|0.3|1.7|4.4|
22
+ |inference_asr_model_valid.acc.ave_5best/utt_test|4204|22540|87.7|10.2|2.2|2.8|15.1|42.9|
23
+ |inference_asr_model_valid.acc.ave_5best/utt_test_1|4204|22540|30.4|34.6|34.9|3.0|72.5|96.4|
24
+ |inference_asr_model_valid.acc.ave_5best/utt_test_2|4204|22540|82.1|12.3|5.6|3.0|20.9|51.6|
25
+ |inference_asr_model_valid.acc.ave_5best/utt_test_3|4204|22540|87.2|10.3|2.5|2.8|15.6|43.3|
26
+ |inference_asr_model_valid.acc.ave_5best/utt_test_4|4204|22540|87.5|10.2|2.2|2.8|15.2|43.0|
27
+ |inference_asr_model_valid.acc.ave_5best/utt_test_5|4204|22540|87.6|10.2|2.2|2.8|15.2|43.0|
28
+ |inference_asr_model_valid.acc.ave_5best/valid|2597|13782|98.8|0.7|0.5|0.2|1.5|3.1|
29
+
30
+ ### CER
31
+
32
+ |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
33
+ |---|---|---|---|---|---|---|---|---|
34
+ |inference_asr_model_valid.acc.ave_5best/spk_test|3349|152191|99.3|0.3|0.3|0.2|0.9|4.4|
35
+ |inference_asr_model_valid.acc.ave_5best/spk_test_1|3349|152191|56.2|15.7|28.1|3.3|47.1|82.0|
36
+ |inference_asr_model_valid.acc.ave_5best/spk_test_2|3349|152191|95.5|1.2|3.3|0.3|4.8|14.2|
37
+ |inference_asr_model_valid.acc.ave_5best/spk_test_3|3349|152191|99.1|0.4|0.5|0.2|1.1|5.2|
38
+ |inference_asr_model_valid.acc.ave_5best/spk_test_4|3349|152191|99.3|0.3|0.3|0.2|0.9|4.5|
39
+ |inference_asr_model_valid.acc.ave_5best/spk_test_5|3349|152191|99.3|0.3|0.3|0.2|0.9|4.4|
40
+ |inference_asr_model_valid.acc.ave_5best/utt_test|4204|191435|93.8|4.0|2.1|2.9|9.1|42.9|
41
+ |inference_asr_model_valid.acc.ave_5best/utt_test_1|4204|191435|52.8|17.8|29.4|4.3|51.4|96.4|
42
+ |inference_asr_model_valid.acc.ave_5best/utt_test_2|4204|191435|90.2|5.0|4.9|3.0|12.9|51.6|
43
+ |inference_asr_model_valid.acc.ave_5best/utt_test_3|4204|191435|93.5|4.1|2.4|2.9|9.4|43.3|
44
+ |inference_asr_model_valid.acc.ave_5best/utt_test_4|4204|191435|93.8|4.0|2.2|2.9|9.1|43.0|
45
+ |inference_asr_model_valid.acc.ave_5best/utt_test_5|4204|191435|93.8|4.0|2.2|2.9|9.1|43.0|
46
+ |inference_asr_model_valid.acc.ave_5best/valid|2597|117282|99.3|0.3|0.3|0.2|0.8|3.1|
47
+
48
+ ### TER
49
+
50
+ |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
51
+ |---|---|---|---|---|---|---|---|---|
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344
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345
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346
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347
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348
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349
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350
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351
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352
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353
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354
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355
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356
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357
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358
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359
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360
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361
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362
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363
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364
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365
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366
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367
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368
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369
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370
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371
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372
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373
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374
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375
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376
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377
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378
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379
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380
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381
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382
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383
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384
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385
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386
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387
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388
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389
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390
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391
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392
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393
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394
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395
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396
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397
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398
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399
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400
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401
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402
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403
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404
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405
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406
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407
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408
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409
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410
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411
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412
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413
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414
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415
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416
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417
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418
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419
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420
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421
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422
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423
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424
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425
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426
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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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435
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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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445
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446
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447
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448
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449
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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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461
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462
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463
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464
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465
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466
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467
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468
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469
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470
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471
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472
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473
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474
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475
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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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487
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488
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489
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490
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491
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492
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493
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494
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495
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496
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497
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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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507
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508
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509
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510
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511
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512
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513
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514
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515
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516
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517
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518
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519
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520
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521
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522
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523
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524
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525
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526
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527
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528
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529
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530
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531
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532
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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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542
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543
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544
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545
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546
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547
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548
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549
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550
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551
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552
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553
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554
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555
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556
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557
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558
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559
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560
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561
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562
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563
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564
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565
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566
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567
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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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577
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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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587
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588
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589
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590
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591
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592
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593
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594
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595
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596
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597
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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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606
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607
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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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617
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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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627
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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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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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660
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664
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669
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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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683
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684
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685
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688
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697
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698
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711
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731
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764
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769
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775
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1800
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1880
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1898
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1899
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1900
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1901
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1906
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1910
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1911
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1912
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1913
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1914
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1915
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1916
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1917
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1918
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1919
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1920
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1921
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1922
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1923
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1924
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1926
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1927
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1928
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1930
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1931
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1932
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1933
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1934
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1935
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1936
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1937
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1938
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1939
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1940
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1941
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1942
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1943
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1944
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1945
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1946
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1947
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1948
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1949
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1950
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1951
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1952
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1953
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1954
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1955
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1956
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1957
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1958
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1959
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1960
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1961
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1962
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1963
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1964
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1965
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1966
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1967
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1968
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1969
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1970
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1971
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1972
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1973
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1974
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1975
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1976
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1977
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1978
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1979
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1980
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1981
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1982
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1983
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1984
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1985
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1986
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1987
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1988
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1989
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1990
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1991
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1992
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1993
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1994
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1995
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1996
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1997
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1998
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1999
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2000
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2001
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2002
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2003
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2004
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2005
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2006
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2007
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2008
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2009
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2010
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2011
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2012
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2013
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2014
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2015
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2016
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2017
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2018
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2019
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2020
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2021
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2022
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2023
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2024
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2025
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2027
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2028
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2029
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2030
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2031
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2032
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2033
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2034
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2035
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2036
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2037
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2038
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2040
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2044
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2064
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2068
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2070
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2073
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2074
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2082
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2085
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