Yushi Ueda commited on
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d0994db
·
1 Parent(s): 976a2af

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
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - espnet
4
+ - audio
5
+ - automatic-speech-recognition
6
+ language: en
7
+ datasets:
8
+ - iemocap
9
+ license: cc-by-4.0
10
+ ---
11
+
12
+ ## ESPnet2 ASR model
13
+
14
+ ### `espnet/YushiUeda_iemocap_sentiment_asr_train_asr_conformer_hubert`
15
+
16
+ This model was trained by Yushi Ueda using iemocap recipe in [espnet](https://github.com/espnet/espnet/).
17
+
18
+ ### Demo: How to use in ESPnet2
19
+
20
+ ```bash
21
+ cd espnet
22
+ git checkout dfa2868243a897c2a6c34b7407eaea5e4b5508a5
23
+ pip install -e .
24
+ cd egs2/iemocap/asr1
25
+ ./run.sh --skip_data_prep false --skip_train true --download_model espnet/YushiUeda_iemocap_sentiment_asr_train_asr_conformer_hubert
26
+ ```
27
+
28
+ <!-- Generated by scripts/utils/show_asr_result.sh -->
29
+ # RESULTS
30
+ ## Environments
31
+ - date: `Sat Feb 12 23:11:32 EST 2022`
32
+ - python version: `3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]`
33
+ - espnet version: `espnet 0.10.7a1`
34
+ - pytorch version: `pytorch 1.9.0+cu102`
35
+ - Git hash: `f6cde1c419c814a14ccd40abe557a780508cbcdf`
36
+ - Commit date: `Fri Feb 11 12:25:33 2022 -0500`
37
+
38
+ ## Using Conformer based encoder, Transformer based decoder, and self-supervised learning features with spectral augmentation and predicting transcript along with sentiment
39
+ - ASR config: [conf/tuning/train_asr_conformer_hubert.yaml](conf/tuning/train_asr_conformer_hubert.yaml)
40
+ - token_type: word
41
+ - Sentiment Labels: Positive, Neutral, Negative
42
+
43
+ |dataset|Snt|Intent Classification Macro F1 (%)| Weighted F1 (%)| Micro F1 (%)|
44
+ |---|---|---|---|---|
45
+ |decode_asr_model_valid.acc.ave_10best/valid|754|66.5|76.4|75.7|
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+ |decode_asr_model_valid.acc.ave_10best/test|1650|62.0|65.5|65.8|
47
+
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+ ## ASR config
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+
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+ <details><summary>expand</summary>
51
+
52
+ ```
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+ config: conf/tuning/train_asr_conformer_hubert.yaml
54
+ print_config: false
55
+ log_level: INFO
56
+ dry_run: false
57
+ iterator_type: sequence
58
+ output_dir: exp/asr_train_asr_conformer_hubert_sentiment
59
+ ngpu: 1
60
+ seed: 0
61
+ num_workers: 1
62
+ num_att_plot: 3
63
+ dist_backend: nccl
64
+ dist_init_method: env://
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+ dist_world_size: null
66
+ dist_rank: null
67
+ local_rank: 0
68
+ dist_master_addr: null
69
+ dist_master_port: null
70
+ dist_launcher: null
71
+ multiprocessing_distributed: false
72
+ unused_parameters: false
73
+ sharded_ddp: false
74
+ cudnn_enabled: true
75
+ cudnn_benchmark: false
76
+ cudnn_deterministic: true
77
+ collect_stats: false
78
+ write_collected_feats: false
79
+ max_epoch: 50
80
+ patience: null
81
+ val_scheduler_criterion:
82
+ - valid
83
+ - loss
84
+ early_stopping_criterion:
85
+ - valid
86
+ - loss
87
+ - min
88
+ best_model_criterion:
89
+ - - valid
90
+ - acc
91
+ - max
92
+ keep_nbest_models: 10
93
+ nbest_averaging_interval: 0
94
+ grad_clip: 5.0
95
+ grad_clip_type: 2.0
96
+ grad_noise: false
97
+ accum_grad: 1
98
+ no_forward_run: false
99
+ resume: true
100
+ train_dtype: float32
101
+ use_amp: false
102
+ log_interval: null
103
+ use_matplotlib: true
104
+ use_tensorboard: true
105
+ use_wandb: false
106
+ wandb_project: null
107
+ wandb_id: null
108
+ wandb_entity: null
109
+ wandb_name: null
110
+ wandb_model_log_interval: -1
111
+ detect_anomaly: false
112
+ pretrain_path: null
113
+ init_param: []
114
+ ignore_init_mismatch: false
115
+ freeze_param:
116
+ - frontend.upstream
117
+ num_iters_per_epoch: null
118
+ batch_size: 20
119
+ valid_batch_size: null
120
+ batch_bins: 1000000
121
+ valid_batch_bins: null
122
+ train_shape_file:
123
+ - exp/asr_stats_raw_en_word/train/speech_shape
124
+ - exp/asr_stats_raw_en_word/train/text_shape.word
125
+ valid_shape_file:
126
+ - exp/asr_stats_raw_en_word/valid/speech_shape
127
+ - exp/asr_stats_raw_en_word/valid/text_shape.word
128
+ batch_type: folded
129
+ valid_batch_type: null
130
+ fold_length:
131
+ - 80000
132
+ - 150
133
+ sort_in_batch: descending
134
+ sort_batch: descending
135
+ multiple_iterator: false
136
+ chunk_length: 500
137
+ chunk_shift_ratio: 0.5
138
+ num_cache_chunks: 1024
139
+ train_data_path_and_name_and_type:
140
+ - - dump/raw/train/wav.scp
141
+ - speech
142
+ - sound
143
+ - - dump/raw/train/text
144
+ - text
145
+ - text
146
+ valid_data_path_and_name_and_type:
147
+ - - dump/raw/valid/wav.scp
148
+ - speech
149
+ - sound
150
+ - - dump/raw/valid/text
151
+ - text
152
+ - text
153
+ allow_variable_data_keys: false
154
+ max_cache_size: 0.0
155
+ max_cache_fd: 32
156
+ valid_max_cache_size: null
157
+ optim: adam
158
+ optim_conf:
159
+ lr: 0.0002
160
+ scheduler: warmuplr
161
+ scheduler_conf:
162
+ warmup_steps: 25000
163
+ token_list:
164
+ - <blank>
165
+ - <unk>
166
+ - i
167
+ - you
168
+ - Negative
169
+ - to
170
+ - it
171
+ - '''s'
172
+ - the
173
+ - '''t'
174
+ - that
175
+ - and
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+ - Neutral
177
+ - Positive
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+ - a
179
+ - know
180
+ - what
181
+ - of
182
+ - like
183
+ - we
184
+ - don
185
+ - just
186
+ - is
187
+ - do
188
+ - this
189
+ - '''m'
190
+ - me
191
+ - have
192
+ - can
193
+ - in
194
+ - for
195
+ - 'no'
196
+ - so
197
+ - not
198
+ - '''re'
199
+ - my
200
+ - but
201
+ - mean
202
+ - be
203
+ - going
204
+ - all
205
+ - was
206
+ - they
207
+ - well
208
+ - want
209
+ - yeah
210
+ - right
211
+ - get
212
+ - 'on'
213
+ - there
214
+ - he
215
+ - oh
216
+ - here
217
+ - go
218
+ - out
219
+ - with
220
+ - your
221
+ - if
222
+ - okay
223
+ - are
224
+ - she
225
+ - at
226
+ - '''ll'
227
+ - '''ve'
228
+ - got
229
+ - think
230
+ - about
231
+ - up
232
+ - see
233
+ - then
234
+ - why
235
+ - how
236
+ - time
237
+ - really
238
+ - one
239
+ - now
240
+ - or
241
+ - as
242
+ - back
243
+ - look
244
+ - her
245
+ - him
246
+ - been
247
+ - because
248
+ - 'yes'
249
+ - would
250
+ - didn
251
+ - little
252
+ - did
253
+ - good
254
+ - some
255
+ - them
256
+ - something
257
+ - need
258
+ - maybe
259
+ - never
260
+ - um
261
+ - come
262
+ - take
263
+ - god
264
+ - had
265
+ - could
266
+ - will
267
+ - uh
268
+ - am
269
+ - people
270
+ - thing
271
+ - when
272
+ - very
273
+ - let
274
+ - much
275
+ - sorry
276
+ - from
277
+ - again
278
+ - long
279
+ - give
280
+ - anything
281
+ - too
282
+ - make
283
+ - fish
284
+ - years
285
+ - where
286
+ - isn
287
+ - three
288
+ - said
289
+ - things
290
+ - nothing
291
+ - help
292
+ - work
293
+ - tell
294
+ - guess
295
+ - over
296
+ - 'off'
297
+ - business
298
+ - even
299
+ - sir
300
+ - any
301
+ - his
302
+ - around
303
+ - were
304
+ - way
305
+ - who
306
+ - new
307
+ - kind
308
+ - '''d'
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+ - our
310
+ - everything
311
+ - more
312
+ - came
313
+ - an
314
+ - should
315
+ - down
316
+ - understand
317
+ - only
318
+ - great
319
+ - else
320
+ - man
321
+ - line
322
+ - us
323
+ - ask
324
+ - last
325
+ - doing
326
+ - say
327
+ - waiting
328
+ - other
329
+ - lot
330
+ - job
331
+ - feel
332
+ - yourself
333
+ - point
334
+ - thought
335
+ - day
336
+ - whole
337
+ - away
338
+ - coming
339
+ - better
340
+ - marry
341
+ - always
342
+ - these
343
+ - still
344
+ - wrong
345
+ - two
346
+ - sure
347
+ - care
348
+ - phone
349
+ - probably
350
+ - remember
351
+ - annie
352
+ - life
353
+ - year
354
+ - believe
355
+ - gonna
356
+ - supposed
357
+ - went
358
+ - first
359
+ - talk
360
+ - listen
361
+ - alright
362
+ - before
363
+ - thinking
364
+ - after
365
+ - stuff
366
+ - happy
367
+ - ever
368
+ - turn
369
+ - thank
370
+ - home
371
+ - fine
372
+ - into
373
+ - than
374
+ - call
375
+ - money
376
+ - stay
377
+ - actually
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+ - every
379
+ - hope
380
+ - love
381
+ - huh
382
+ - married
383
+ - wait
384
+ - somewhere
385
+ - has
386
+ - being
387
+ - father
388
+ - larry
389
+ - hell
390
+ - wanted
391
+ - trying
392
+ - getting
393
+ - guys
394
+ - name
395
+ - saying
396
+ - bag
397
+ - hear
398
+ - girl
399
+ - hey
400
+ - flashlight
401
+ - beach
402
+ - put
403
+ - leave
404
+ - dollars
405
+ - mind
406
+ - augie
407
+ - does
408
+ - won
409
+ - fifty
410
+ - excited
411
+ - hate
412
+ - four
413
+ - done
414
+ - through
415
+ - their
416
+ - keep
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+ - car
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+ - lost
419
+ - doesn
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+ - happen
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+ - wouldn
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+ - school
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+ - big
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+ - calm
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+ - night
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+ - '''cause'
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+ - id
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+ - another
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+ - though
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+ - myself
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+ - nobody
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+ - somebody
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+ - best
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+ - might
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+ - same
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+ - form
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+ - mom
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+ - nice
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+ - matter
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+ - spot
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+ - stop
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+ - told
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+ - by
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+ - shut
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+ - enough
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+ - five
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+ - joe
448
+ - hard
449
+ - find
450
+ - course
451
+ - chris
452
+ - drunk
453
+ - snap
454
+ - luggage
455
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456
+ - standing
457
+ - someone
458
+ - laugh
459
+ - took
460
+ - those
461
+ - please
462
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463
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464
+ - ridiculous
465
+ - minute
466
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467
+ - bring
468
+ - show
469
+ - start
470
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471
+ - days
472
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473
+ - pretty
474
+ - sort
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+ - talking
476
+ - sand
477
+ - child
478
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479
+ - send
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+ - next
481
+ - hundred
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+ - whatever
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+ - many
484
+ - moon
485
+ - moment
486
+ - champagne
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+ - s
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+ - problem
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+ - end
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+ - real
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+ - dear
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+ - happened
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+ - person
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+ - place
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+ - fill
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+ - awesome
497
+ - house
498
+ - such
499
+ - cool
500
+ - c
501
+ - haven
502
+ - knew
503
+ - die
504
+ - finally
505
+ - glasses
506
+ - stupid
507
+ - least
508
+ - dad
509
+ - supervisor
510
+ - totally
511
+ - each
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+ - try
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+ - waited
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+ - idea
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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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624
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625
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626
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627
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628
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629
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630
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631
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632
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633
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634
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635
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636
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637
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638
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639
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640
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641
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642
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643
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644
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645
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646
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647
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648
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649
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650
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651
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652
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653
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654
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655
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656
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657
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658
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659
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660
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661
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662
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663
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664
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665
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666
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667
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668
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669
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670
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671
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672
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673
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674
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675
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676
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677
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678
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679
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680
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681
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682
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683
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684
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685
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686
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687
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688
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689
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690
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691
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692
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693
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694
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695
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696
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697
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698
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699
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700
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701
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702
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703
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704
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705
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706
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707
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708
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709
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710
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711
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712
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713
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714
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715
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716
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717
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718
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719
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720
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721
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722
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723
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724
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725
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726
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727
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728
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729
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730
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731
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732
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733
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734
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735
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736
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737
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738
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739
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740
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741
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742
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743
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744
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745
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746
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747
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748
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749
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750
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751
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752
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753
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754
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755
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756
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757
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758
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759
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760
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761
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762
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763
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764
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765
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766
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767
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768
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769
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770
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771
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772
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773
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774
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775
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776
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777
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778
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779
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780
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781
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782
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783
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784
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785
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786
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787
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788
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789
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790
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791
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792
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793
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794
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795
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796
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797
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798
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799
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800
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801
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802
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803
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804
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805
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806
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807
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808
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809
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810
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811
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812
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813
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814
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815
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816
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817
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818
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819
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820
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821
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822
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823
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824
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825
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826
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827
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828
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829
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830
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831
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832
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833
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834
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835
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836
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837
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838
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839
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840
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841
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842
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843
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844
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845
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846
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847
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848
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849
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850
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851
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852
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853
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854
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855
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856
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857
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858
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859
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860
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861
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862
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863
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864
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865
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866
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867
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868
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869
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870
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871
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872
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873
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874
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875
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876
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877
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878
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879
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880
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881
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882
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883
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884
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885
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886
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887
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888
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889
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890
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891
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892
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893
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894
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895
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896
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897
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898
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899
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900
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901
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902
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903
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904
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905
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906
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907
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908
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909
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910
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911
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912
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913
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914
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915
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916
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917
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918
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919
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920
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921
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922
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923
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924
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925
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926
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927
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928
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929
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930
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931
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932
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933
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934
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935
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936
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937
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938
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939
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940
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941
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942
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943
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944
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945
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946
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947
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948
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949
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950
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951
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952
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953
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954
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955
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956
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957
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958
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959
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960
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961
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962
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963
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964
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965
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966
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967
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968
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969
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970
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971
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972
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973
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974
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975
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976
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977
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978
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980
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981
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982
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984
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985
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986
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987
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988
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989
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990
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991
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992
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993
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994
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995
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996
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997
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998
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999
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1000
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1001
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1002
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1003
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1004
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1005
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1006
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1007
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1008
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1009
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1010
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1011
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1012
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1013
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1014
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1015
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1016
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1017
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1018
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1019
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1020
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1021
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1022
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1023
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1024
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1025
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1026
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1027
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1028
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1029
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1030
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1031
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1032
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1033
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1034
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1035
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1036
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1037
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1038
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1039
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1040
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1041
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1042
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1043
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1044
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1045
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1046
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1047
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1048
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1049
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1050
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1051
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1052
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1053
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1054
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1055
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1056
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1057
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1058
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1059
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1060
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1061
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1062
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1063
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1064
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1065
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1066
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1067
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1068
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1069
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1070
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1071
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1072
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1073
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1074
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1075
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1076
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1077
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1078
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1079
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1080
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1081
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1082
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1083
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1084
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1085
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1086
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1087
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1088
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1089
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1090
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1091
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1092
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1093
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1094
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1095
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1096
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1097
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1098
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1099
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1100
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1101
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1102
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1103
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1104
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1105
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1106
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1107
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1108
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1109
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1110
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1111
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1112
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1113
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1114
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1115
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1116
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1117
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1118
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1119
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1120
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1121
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1122
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1123
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1124
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1125
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1126
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1127
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1128
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1129
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1130
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1131
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1132
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1133
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1134
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1135
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1136
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1137
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1138
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1139
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1140
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1141
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1142
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1143
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1144
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1145
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1146
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1147
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1148
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1149
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1151
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1152
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1153
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1154
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1155
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1156
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1157
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1158
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1159
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1161
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1162
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1163
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1164
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1165
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1166
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1167
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1168
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1169
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1170
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1171
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1172
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1173
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1174
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1175
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1176
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1177
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1178
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1179
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1180
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1181
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1182
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1183
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1184
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1185
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1186
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1187
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1188
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1190
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1191
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1192
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1193
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1194
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1195
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1196
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1197
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1198
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1199
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1200
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1201
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1202
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1203
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1204
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1205
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1206
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1209
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1210
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1211
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1212
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1213
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1214
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1216
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1217
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1218
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1219
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1220
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1221
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1222
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1223
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1224
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1225
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1226
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1227
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1228
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1229
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1230
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1231
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1232
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1233
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1238
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1239
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1240
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1241
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1242
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1243
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1244
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1245
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1246
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1247
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1248
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1249
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1251
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1252
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1253
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1254
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1256
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1257
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1258
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1259
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1260
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1261
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1262
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1263
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1264
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1265
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1266
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1267
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1268
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1269
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1270
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1271
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1272
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1273
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1276
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1277
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1281
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1286
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1289
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1290
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1291
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1292
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1301
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1302
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1303
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1304
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1305
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1306
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1307
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1311
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1312
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1313
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1314
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1316
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1317
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1318
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1319
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1320
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1321
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1322
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1323
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1324
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1325
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1327
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1328
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1329
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1330
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1331
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1332
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1333
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1334
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1335
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1336
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1337
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1338
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1339
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1340
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1341
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1342
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1343
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1344
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1345
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1346
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1347
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1348
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1349
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1350
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1351
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1352
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1353
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1354
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1355
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1356
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1357
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1358
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1359
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1360
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1361
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1362
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1363
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1364
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1365
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1366
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1367
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1368
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1369
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1370
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1371
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1372
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1373
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1374
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1375
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1376
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1377
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1380
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1381
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1382
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1383
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1384
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1386
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1387
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1388
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1389
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1390
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1391
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1392
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1393
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1394
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1395
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1396
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1397
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1399
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1401
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1402
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1403
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1404
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1405
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1406
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1407
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1409
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1411
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1412
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1413
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1414
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1415
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1417
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1420
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1424
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1427
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1428
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1429
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1430
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1432
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1433
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1434
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1435
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1436
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1437
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1438
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1439
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1441
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1442
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1445
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1446
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1447
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1448
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1449
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1503
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2347
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2348
+ - kathy
2349
+ - lasted
2350
+ - gary
2351
+ - closed
2352
+ - surreal
2353
+ - troops
2354
+ - loving
2355
+ - los
2356
+ - angeles
2357
+ - schools
2358
+ - kinds
2359
+ - secrets
2360
+ - explore
2361
+ - rip
2362
+ - nuts
2363
+ - champions
2364
+ - leaning
2365
+ - towards
2366
+ - communications
2367
+ - broad
2368
+ - confined
2369
+ - ropes
2370
+ - recording
2371
+ - depending
2372
+ - leads
2373
+ - bypass
2374
+ - zero
2375
+ - pleasant
2376
+ - ebay
2377
+ - bye
2378
+ - steve
2379
+ - hint
2380
+ - asks
2381
+ - tone
2382
+ - pretend
2383
+ - protection
2384
+ - rid
2385
+ - submit
2386
+ - print
2387
+ - regarding
2388
+ - grievance
2389
+ - sites
2390
+ - protected
2391
+ - processed
2392
+ - careful
2393
+ - secure
2394
+ - unreliable
2395
+ - trash
2396
+ - kept
2397
+ - spotting
2398
+ - certain
2399
+ - specifically
2400
+ - pushing
2401
+ - headed
2402
+ - ears
2403
+ - watched
2404
+ - sends
2405
+ - ceaseless
2406
+ - wear
2407
+ - often
2408
+ - pleasure
2409
+ - sonya
2410
+ - promoted
2411
+ - nurses
2412
+ - mommy
2413
+ - va
2414
+ - videotaped
2415
+ - cousin
2416
+ - postpone
2417
+ - performance
2418
+ - swear
2419
+ - cast
2420
+ - spotlight
2421
+ - microphone
2422
+ - tripped
2423
+ - surprise
2424
+ - scored
2425
+ - points
2426
+ - members
2427
+ - loser
2428
+ - marrying
2429
+ - weddings
2430
+ - carats
2431
+ - lousy
2432
+ - chaperone
2433
+ - drowsy
2434
+ - deserve
2435
+ - cry
2436
+ - tears
2437
+ - happiness
2438
+ - marriage
2439
+ - commercials
2440
+ - refection
2441
+ - financially
2442
+ - studied
2443
+ - passing
2444
+ - russel
2445
+ - crowe
2446
+ - pooling
2447
+ - funds
2448
+ - owe
2449
+ - learning
2450
+ - role
2451
+ - auditions
2452
+ - denny
2453
+ - tip
2454
+ - teaching
2455
+ - oof
2456
+ - france
2457
+ - steal
2458
+ - keys
2459
+ - laughing
2460
+ - rosenkrantz
2461
+ - thingy
2462
+ - bopper
2463
+ - limit
2464
+ - whoa
2465
+ - ways
2466
+ - suffered
2467
+ - disease
2468
+ - handsome
2469
+ - gifted
2470
+ - parent
2471
+ - ripped
2472
+ - uveny
2473
+ - tricia
2474
+ - chemo
2475
+ - baseball
2476
+ - benny
2477
+ - nat
2478
+ - nation
2479
+ - bread
2480
+ - eat
2481
+ - beer
2482
+ - dorm
2483
+ - sometime
2484
+ - mattresses
2485
+ - reserved
2486
+ - grauman
2487
+ - scale
2488
+ - whooooo
2489
+ - acti
2490
+ - film
2491
+ - art
2492
+ - academy
2493
+ - films
2494
+ - fuck
2495
+ - ethiopia
2496
+ - cuddle
2497
+ - profanity
2498
+ - provider
2499
+ - satellites
2500
+ - average
2501
+ - compensating
2502
+ - unbeknownst
2503
+ - satellite
2504
+ - exaggerate
2505
+ - advising
2506
+ - addressed
2507
+ - fax
2508
+ - dumb
2509
+ - fritz
2510
+ - incoming
2511
+ - million
2512
+ - grown
2513
+ - fella
2514
+ - shootin
2515
+ - travel
2516
+ - sat
2517
+ - instinct
2518
+ - goosebumps
2519
+ - arms
2520
+ - danced
2521
+ - intimately
2522
+ - spart
2523
+ - strumpets
2524
+ - bristling
2525
+ - diamonds
2526
+ - taste
2527
+ - portion
2528
+ - side
2529
+ - stairs
2530
+ - condescending
2531
+ - copy
2532
+ - proceed
2533
+ - remove
2534
+ - missy
2535
+ - behaving
2536
+ - sweetie
2537
+ - deploy
2538
+ - specialist
2539
+ - increase
2540
+ - triple
2541
+ - promotion
2542
+ - retire
2543
+ - quiets
2544
+ - faster
2545
+ - career
2546
+ - lame
2547
+ - drew
2548
+ - barrymore
2549
+ - nasty
2550
+ - mouse
2551
+ - cheesy
2552
+ - jane
2553
+ - tarzan
2554
+ - engaged
2555
+ - esmeralda
2556
+ - hitched
2557
+ - spontaneous
2558
+ - character
2559
+ - conga
2560
+ - dim
2561
+ - pulled
2562
+ - chucky
2563
+ - sarah
2564
+ - guiding
2565
+ - graduated
2566
+ - apply
2567
+ - colleges
2568
+ - energy
2569
+ - busing
2570
+ - clerk
2571
+ - excuses
2572
+ - qualified
2573
+ - chang
2574
+ - investment
2575
+ - banking
2576
+ - deloitte
2577
+ - touche
2578
+ - temp
2579
+ - degrading
2580
+ - smarter
2581
+ - astronaut
2582
+ - biomedical
2583
+ - internship
2584
+ - plus
2585
+ - breaking
2586
+ - evicting
2587
+ - typing
2588
+ - shoot
2589
+ - degree
2590
+ - science
2591
+ - club
2592
+ - joking
2593
+ - doomed
2594
+ - maryland
2595
+ - cooperate
2596
+ - emergency
2597
+ - pounds
2598
+ - urn
2599
+ - deduction
2600
+ - sherlock
2601
+ - holmes
2602
+ - vessel
2603
+ - burst
2604
+ - caption
2605
+ - therefore
2606
+ - placed
2607
+ - firing
2608
+ - lobby
2609
+ - fastest
2610
+ - ibm
2611
+ - misplace
2612
+ - count
2613
+ - hanging
2614
+ - explanation
2615
+ - follow
2616
+ - footsteps
2617
+ - overboard
2618
+ - paralyzed
2619
+ - coma
2620
+ - fucked
2621
+ - studying
2622
+ - countries
2623
+ - goal
2624
+ - met
2625
+ - greatest
2626
+ - hopefully
2627
+ - mmmm
2628
+ - cinema
2629
+ - chapter
2630
+ - professionals
2631
+ - sipping
2632
+ - martinis
2633
+ - sushi
2634
+ - vat
2635
+ - assistance
2636
+ - starve
2637
+ - south
2638
+ - central
2639
+ - firm
2640
+ - police
2641
+ - officer
2642
+ - viacom
2643
+ - digits
2644
+ - speaking
2645
+ - network
2646
+ - charging
2647
+ - connect
2648
+ - outages
2649
+ - hurricane
2650
+ - katrina
2651
+ - chose
2652
+ - maam
2653
+ - proven
2654
+ - failing
2655
+ - receive
2656
+ - cuts
2657
+ - using
2658
+ - flip
2659
+ - writing
2660
+ - ms
2661
+ - fall
2662
+ - older
2663
+ - game
2664
+ - orange
2665
+ - pink
2666
+ - goodies
2667
+ - battling
2668
+ - sees
2669
+ - flat
2670
+ - stronger
2671
+ - acted
2672
+ - deserves
2673
+ - hats
2674
+ - shore
2675
+ - pokes
2676
+ - nah
2677
+ - paul
2678
+ - boats
2679
+ - dammit
2680
+ - enjoys
2681
+ - bound
2682
+ - harm
2683
+ - pleasured
2684
+ - lure
2685
+ - devil
2686
+ - rile
2687
+ - topic
2688
+ - initialed
2689
+ - lets
2690
+ - correctly
2691
+ - spelled
2692
+ - signed
2693
+ - shitty
2694
+ - timing
2695
+ - susie
2696
+ - tours
2697
+ - emotionally
2698
+ - bullshit
2699
+ - enlist
2700
+ - lie
2701
+ - traditional
2702
+ - church
2703
+ - cabins
2704
+ - flowery
2705
+ - naturey
2706
+ - midsummer
2707
+ - excitement
2708
+ - hoping
2709
+ - attacked
2710
+ - bears
2711
+ - trim
2712
+ - cooler
2713
+ - dog
2714
+ - tanish
2715
+ - contrast
2716
+ - cake
2717
+ - buffet
2718
+ - fried
2719
+ - chicken
2720
+ - mashed
2721
+ - potatoes
2722
+ - happier
2723
+ - thrilled
2724
+ - ecstatic
2725
+ - rushed
2726
+ - pressure
2727
+ - interviews
2728
+ - favors
2729
+ - bite
2730
+ - excessive
2731
+ - unemployed
2732
+ - cab
2733
+ - gas
2734
+ - possibly
2735
+ - extreme
2736
+ - trained
2737
+ - presentable
2738
+ - quote
2739
+ - buck
2740
+ - chugging
2741
+ - engine
2742
+ - realm
2743
+ - minimum
2744
+ - wage
2745
+ - fry
2746
+ - flipper
2747
+ - bottom
2748
+ - clear
2749
+ - affect
2750
+ - cle
2751
+ - dressed
2752
+ - shave
2753
+ - legs
2754
+ - presentation
2755
+ - eighty
2756
+ - success
2757
+ - position
2758
+ - training
2759
+ - mcdonalds
2760
+ - tv
2761
+ - rainbow
2762
+ - colored
2763
+ - crap
2764
+ - safely
2765
+ - destination
2766
+ - percoes
2767
+ - equivalent
2768
+ - amends
2769
+ - courtesy
2770
+ - inconveniencing
2771
+ - near
2772
+ - communicate
2773
+ - conditions
2774
+ - frequently
2775
+ - current
2776
+ - expecting
2777
+ - pissed
2778
+ - honor
2779
+ - grandmother
2780
+ - condition
2781
+ - inevitable
2782
+ - peace
2783
+ - general
2784
+ - mace
2785
+ - present
2786
+ - knife
2787
+ - puny
2788
+ - underwater
2789
+ - basket
2790
+ - weaving
2791
+ - lying
2792
+ - decided
2793
+ - works
2794
+ - worried
2795
+ - occasion
2796
+ - cruisers
2797
+ - vibe
2798
+ - greek
2799
+ - lessons
2800
+ - suck
2801
+ - celebrating
2802
+ - crush
2803
+ - throughout
2804
+ - test
2805
+ - waters
2806
+ - movies
2807
+ - vermont
2808
+ - cruiser
2809
+ - abused
2810
+ - frat
2811
+ - boys
2812
+ - dorms
2813
+ - dell
2814
+ - requests
2815
+ - fixed
2816
+ - dealt
2817
+ - worries
2818
+ - refunded
2819
+ - situa
2820
+ - relevant
2821
+ - ordered
2822
+ - orders
2823
+ - others
2824
+ - incorrectly
2825
+ - tomatoes
2826
+ - del
2827
+ - cents
2828
+ - attached
2829
+ - cuz
2830
+ - hoped
2831
+ - opportunity
2832
+ - rushing
2833
+ - goods
2834
+ - skipped
2835
+ - breath
2836
+ - kleenex
2837
+ - alaska
2838
+ - bearing
2839
+ - hated
2840
+ - holes
2841
+ - calf
2842
+ - witch
2843
+ - whore
2844
+ - <sos/eos>
2845
+ init: null
2846
+ input_size: null
2847
+ ctc_conf:
2848
+ dropout_rate: 0.0
2849
+ ctc_type: builtin
2850
+ reduce: true
2851
+ ignore_nan_grad: true
2852
+ joint_net_conf: null
2853
+ model_conf:
2854
+ ctc_weight: 0.3
2855
+ lsm_weight: 0.1
2856
+ length_normalized_loss: false
2857
+ extract_feats_in_collect_stats: false
2858
+ use_preprocessor: true
2859
+ token_type: word
2860
+ bpemodel: null
2861
+ non_linguistic_symbols: null
2862
+ cleaner: null
2863
+ g2p: null
2864
+ speech_volume_normalize: null
2865
+ rir_scp: null
2866
+ rir_apply_prob: 1.0
2867
+ noise_scp: null
2868
+ noise_apply_prob: 1.0
2869
+ noise_db_range: '13_15'
2870
+ frontend: s3prl
2871
+ frontend_conf:
2872
+ frontend_conf:
2873
+ upstream: hubert_large_ll60k
2874
+ download_dir: ./hub
2875
+ multilayer_feature: true
2876
+ fs: 16k
2877
+ specaug: specaug
2878
+ specaug_conf:
2879
+ apply_time_warp: true
2880
+ time_warp_window: 5
2881
+ time_warp_mode: bicubic
2882
+ apply_freq_mask: true
2883
+ freq_mask_width_range:
2884
+ - 0
2885
+ - 30
2886
+ num_freq_mask: 2
2887
+ apply_time_mask: true
2888
+ time_mask_width_range:
2889
+ - 0
2890
+ - 40
2891
+ num_time_mask: 2
2892
+ normalize: utterance_mvn
2893
+ normalize_conf: {}
2894
+ preencoder: linear
2895
+ preencoder_conf:
2896
+ input_size: 1024
2897
+ output_size: 80
2898
+ encoder: conformer
2899
+ encoder_conf:
2900
+ output_size: 512
2901
+ attention_heads: 8
2902
+ linear_units: 2048
2903
+ num_blocks: 12
2904
+ dropout_rate: 0.1
2905
+ positional_dropout_rate: 0.1
2906
+ attention_dropout_rate: 0.1
2907
+ input_layer: conv2d
2908
+ normalize_before: true
2909
+ macaron_style: true
2910
+ pos_enc_layer_type: rel_pos
2911
+ selfattention_layer_type: rel_selfattn
2912
+ activation_type: swish
2913
+ use_cnn_module: true
2914
+ cnn_module_kernel: 31
2915
+ postencoder: null
2916
+ postencoder_conf: {}
2917
+ decoder: transformer
2918
+ decoder_conf:
2919
+ attention_heads: 8
2920
+ linear_units: 2048
2921
+ num_blocks: 6
2922
+ dropout_rate: 0.1
2923
+ positional_dropout_rate: 0.1
2924
+ self_attention_dropout_rate: 0.1
2925
+ src_attention_dropout_rate: 0.1
2926
+ required:
2927
+ - output_dir
2928
+ - token_list
2929
+ version: 0.10.7a1
2930
+ distributed: false
2931
+ ```
2932
+
2933
+ </details>
2934
+
2935
+
2936
+
2937
+ ### Citing ESPnet
2938
+
2939
+ ```BibTex
2940
+ @inproceedings{watanabe2018espnet,
2941
+ 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},
2942
+ title={{ESPnet}: End-to-End Speech Processing Toolkit},
2943
+ year={2018},
2944
+ booktitle={Proceedings of Interspeech},
2945
+ pages={2207--2211},
2946
+ doi={10.21437/Interspeech.2018-1456},
2947
+ url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
2948
+ }
2949
+
2950
+
2951
+
2952
+
2953
+ ```
2954
+
2955
+ or arXiv:
2956
+
2957
+ ```bibtex
2958
+ @misc{watanabe2018espnet,
2959
+ title={ESPnet: End-to-End Speech Processing Toolkit},
2960
+ 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},
2961
+ year={2018},
2962
+ eprint={1804.00015},
2963
+ archivePrefix={arXiv},
2964
+ primaryClass={cs.CL}
2965
+ }
2966
+ ```
exp/asr_stats_raw_en_word/train/feats_stats.npz ADDED
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exp/asr_train_asr_conformer_hubert_sentiment/RESULTS.md ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <!-- Generated by scripts/utils/show_asr_result.sh -->
2
+ # RESULTS
3
+ ## Environments
4
+ - date: `Sat Feb 12 23:11:32 EST 2022`
5
+ - python version: `3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]`
6
+ - espnet version: `espnet 0.10.7a1`
7
+ - pytorch version: `pytorch 1.9.0+cu102`
8
+ - Git hash: `f6cde1c419c814a14ccd40abe557a780508cbcdf`
9
+ - Commit date: `Fri Feb 11 12:25:33 2022 -0500`
10
+
11
+ ## Using Conformer based encoder, Transformer based decoder, and self-supervised learning features with spectral augmentation and predicting transcript along with sentiment
12
+ - ASR config: [conf/tuning/train_asr_conformer_hubert.yaml](conf/tuning/train_asr_conformer_hubert.yaml)
13
+ - token_type: word
14
+ - Sentiment Labels: Positive, Neutral, Negative
15
+
16
+ |dataset|Snt|Intent Classification Macro F1 (%)| Weighted F1 (%)| Micro F1 (%)|
17
+ |---|---|---|---|---|
18
+ |decode_asr_model_valid.acc.ave_10best/valid|754|66.5|76.4|75.7|
19
+ |decode_asr_model_valid.acc.ave_10best/test|1650|62.0|65.5|65.8|
exp/asr_train_asr_conformer_hubert_sentiment/config.yaml ADDED
@@ -0,0 +1,2878 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591
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592
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596
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599
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602
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603
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605
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606
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607
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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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621
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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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635
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636
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637
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638
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640
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641
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642
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645
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647
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680
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1514
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1515
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1516
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1517
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1518
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1519
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1520
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1521
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1522
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1523
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1524
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1525
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1526
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1527
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1528
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1529
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1530
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1531
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1532
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1533
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1535
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1536
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1537
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1538
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1539
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1540
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1541
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1542
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1543
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1544
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1545
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1546
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1547
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1548
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1549
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1550
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1551
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1552
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1553
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1554
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1555
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1556
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1557
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1558
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1559
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1560
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1561
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1562
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1563
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1564
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1565
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1566
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1567
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1568
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1569
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1570
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1571
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1572
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1573
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1574
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1575
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1576
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1577
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1578
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1579
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1580
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1581
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1582
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1583
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1584
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1585
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1586
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1588
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1589
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1591
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1592
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1594
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1597
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1598
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1600
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1601
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1602
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1603
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1604
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1607
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1613
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1615
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1616
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1619
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1625
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1627
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1628
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1629
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1630
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1631
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1632
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1634
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1635
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1636
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1637
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1638
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1640
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1643
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1644
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1655
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1692
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1710
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1711
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1714
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1717
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1718
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1719
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1720
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1721
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1722
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1723
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1724
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1726
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1727
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1728
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1729
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1730
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1731
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1732
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1733
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1736
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1737
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1738
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1739
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1740
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1741
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1742
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1743
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1744
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1745
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1746
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1747
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1748
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1750
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1751
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1756
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1759
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1760
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1764
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1768
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1769
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1770
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1772
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1774
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1791
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1799
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1800
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1801
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1803
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1804
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1805
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1808
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1809
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1811
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1812
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1813
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1814
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1815
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1816
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1817
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1818
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1820
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1821
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1822
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1823
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1824
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1826
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1827
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1828
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1830
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1832
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1934
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1953
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1982
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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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1991
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1992
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1993
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1995
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1996
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1998
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1999
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2000
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2002
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2003
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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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2025
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2068
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2069
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2070
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2071
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2074
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2075
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2078
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2080
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2198
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2202
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2241
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2246
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