Yushi Ueda commited on
Commit
794c069
1 Parent(s): fdc71c9

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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`
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
26
+ ```
27
+
28
+ <!-- Generated by scripts/utils/show_asr_result.sh -->
29
+ # RESULTS
30
+ ## Environments
31
+ - date: `Thu Feb 17 11:25:22 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 and Transformer based decoder with spectral augmentation and predicting transcript along with sentiment
39
+ - ASR config: [conf/tuning/train_asr_conformer.yaml](conf/tuning/train_asr_conformer.yaml)
40
+ - token_type: word
41
+ - 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|53.9|65.7|66.4|
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+ |decode_asr_model_valid.acc.ave_10best/test|1650|50.3|54.5|55.7|
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+
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+ ## ASR config
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+
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+ <details><summary>expand</summary>
51
+
52
+ ```
53
+ config: conf/tuning/train_asr_conformer.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_raw_en_word
59
+ ngpu: 1
60
+ seed: 0
61
+ num_workers: 1
62
+ num_att_plot: 3
63
+ dist_backend: nccl
64
+ dist_init_method: env://
65
+ 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: 200
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
+ num_iters_per_epoch: null
117
+ batch_size: 64
118
+ valid_batch_size: null
119
+ batch_bins: 1000000
120
+ valid_batch_bins: null
121
+ train_shape_file:
122
+ - exp/asr_stats_raw_en_word/train/speech_shape
123
+ - exp/asr_stats_raw_en_word/train/text_shape.word
124
+ valid_shape_file:
125
+ - exp/asr_stats_raw_en_word/valid/speech_shape
126
+ - exp/asr_stats_raw_en_word/valid/text_shape.word
127
+ batch_type: folded
128
+ valid_batch_type: null
129
+ fold_length:
130
+ - 80000
131
+ - 150
132
+ sort_in_batch: descending
133
+ sort_batch: descending
134
+ multiple_iterator: false
135
+ chunk_length: 500
136
+ chunk_shift_ratio: 0.5
137
+ num_cache_chunks: 1024
138
+ train_data_path_and_name_and_type:
139
+ - - dump/raw/train/wav.scp
140
+ - speech
141
+ - sound
142
+ - - dump/raw/train/text
143
+ - text
144
+ - text
145
+ valid_data_path_and_name_and_type:
146
+ - - dump/raw/valid/wav.scp
147
+ - speech
148
+ - sound
149
+ - - dump/raw/valid/text
150
+ - text
151
+ - text
152
+ allow_variable_data_keys: false
153
+ max_cache_size: 0.0
154
+ max_cache_fd: 32
155
+ valid_max_cache_size: null
156
+ optim: adam
157
+ optim_conf:
158
+ lr: 0.0005
159
+ scheduler: warmuplr
160
+ scheduler_conf:
161
+ warmup_steps: 5000
162
+ token_list:
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+ - <blank>
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+ - <unk>
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+ - i
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+ - you
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+ - Negative
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+ - to
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+ - it
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+ - '''s'
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+ - the
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+ - '''t'
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+ - that
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+ - and
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+ - Neutral
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+ - Positive
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+ - a
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+ - know
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+ - what
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+ - of
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+ - like
182
+ - we
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+ - don
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+ - just
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+ - is
186
+ - do
187
+ - this
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+ - '''m'
189
+ - me
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+ - have
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+ - can
192
+ - in
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+ - for
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+ - 'no'
195
+ - so
196
+ - not
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+ - '''re'
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+ - my
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+ - but
200
+ - mean
201
+ - be
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+ - going
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+ - all
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+ - was
205
+ - they
206
+ - well
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+ - want
208
+ - yeah
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+ - right
210
+ - get
211
+ - 'on'
212
+ - there
213
+ - he
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+ - oh
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+ - here
216
+ - go
217
+ - out
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+ - with
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+ - your
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+ - if
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+ - okay
222
+ - are
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+ - she
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+ - at
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+ - '''ll'
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+ - '''ve'
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+ - got
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+ - think
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+ - about
230
+ - up
231
+ - see
232
+ - then
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+ - why
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+ - how
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+ - time
236
+ - really
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+ - one
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+ - now
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+ - or
240
+ - as
241
+ - back
242
+ - look
243
+ - her
244
+ - him
245
+ - been
246
+ - because
247
+ - 'yes'
248
+ - would
249
+ - didn
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+ - little
251
+ - did
252
+ - good
253
+ - some
254
+ - them
255
+ - something
256
+ - need
257
+ - maybe
258
+ - never
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+ - um
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+ - come
261
+ - take
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+ - god
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+ - had
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+ - could
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+ - will
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+ - uh
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+ - am
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+ - people
269
+ - thing
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+ - when
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+ - very
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+ - let
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+ - much
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+ - sorry
275
+ - from
276
+ - again
277
+ - long
278
+ - give
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+ - anything
280
+ - too
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+ - make
282
+ - fish
283
+ - years
284
+ - where
285
+ - isn
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+ - three
287
+ - said
288
+ - things
289
+ - nothing
290
+ - help
291
+ - work
292
+ - tell
293
+ - guess
294
+ - over
295
+ - 'off'
296
+ - business
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+ - even
298
+ - sir
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+ - any
300
+ - his
301
+ - around
302
+ - were
303
+ - way
304
+ - who
305
+ - new
306
+ - kind
307
+ - '''d'
308
+ - our
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+ - everything
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+ - more
311
+ - came
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+ - an
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+ - should
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+ - down
315
+ - understand
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+ - only
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+ - great
318
+ - else
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+ - man
320
+ - line
321
+ - us
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+ - ask
323
+ - last
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+ - doing
325
+ - say
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+ - waiting
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+ - other
328
+ - lot
329
+ - job
330
+ - feel
331
+ - yourself
332
+ - point
333
+ - thought
334
+ - day
335
+ - whole
336
+ - away
337
+ - coming
338
+ - better
339
+ - marry
340
+ - always
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+ - these
342
+ - still
343
+ - wrong
344
+ - two
345
+ - sure
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+ - care
347
+ - phone
348
+ - probably
349
+ - remember
350
+ - annie
351
+ - life
352
+ - year
353
+ - believe
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+ - gonna
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+ - supposed
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+ - went
357
+ - first
358
+ - talk
359
+ - listen
360
+ - alright
361
+ - before
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+ - thinking
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+ - after
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+ - stuff
365
+ - happy
366
+ - ever
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+ - turn
368
+ - thank
369
+ - home
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+ - fine
371
+ - into
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+ - than
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+ - call
374
+ - money
375
+ - stay
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+ - actually
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+ - every
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+ - hope
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+ - love
380
+ - huh
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+ - married
382
+ - wait
383
+ - somewhere
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+ - has
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+ - being
386
+ - father
387
+ - larry
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+ - hell
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+ - wanted
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+ - trying
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+ - getting
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+ - guys
393
+ - name
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+ - saying
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+ - bag
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+ - hear
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+ - girl
398
+ - hey
399
+ - flashlight
400
+ - beach
401
+ - put
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+ - leave
403
+ - dollars
404
+ - mind
405
+ - augie
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+ - does
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+ - won
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+ - fifty
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+ - excited
410
+ - hate
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+ - four
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+ - done
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+ - through
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+ - their
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+ - keep
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+ - car
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+ - lost
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+ - 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
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+ - hard
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+ - find
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+ - course
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+ - chris
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+ - drunk
452
+ - snap
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+ - luggage
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+ - rather
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+ - standing
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+ - someone
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+ - laugh
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+ - took
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+ - those
460
+ - please
461
+ - live
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+ - six
463
+ - ridiculous
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+ - minute
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+ - looking
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+ - bring
467
+ - show
468
+ - start
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+ - brought
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+ - days
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+ - must
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+ - pretty
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+ - sort
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+ - talking
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+ - sand
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+ - child
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+ - working
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+ - send
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+ - next
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+ - hundred
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+ - whatever
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+ - many
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+ - moon
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+ - moment
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+ - 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
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+ - house
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+ - such
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+ - cool
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+ - c
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+ - haven
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+ - knew
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+ - die
503
+ - finally
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+ - glasses
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+ - stupid
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+ - least
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+ - dad
508
+ - supervisor
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+ - totally
510
+ - each
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+ - try
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+ - waited
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+ - idea
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+ - u
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+ - party
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+ - asked
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+ - anymore
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+ - sick
519
+ - evening
520
+ - license
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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979
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980
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981
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983
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984
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985
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986
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987
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988
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989
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990
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991
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992
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993
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994
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995
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996
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997
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998
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999
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1000
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1001
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1002
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1003
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1004
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1005
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1006
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1007
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1008
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1009
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1010
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1011
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1012
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1013
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1014
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1015
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1016
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1017
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1018
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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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1146
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1147
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1150
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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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1157
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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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1182
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1183
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1184
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1186
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1187
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1189
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1190
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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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1207
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1208
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1209
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1210
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1211
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1213
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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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1236
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1237
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1238
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1239
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1240
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1241
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1242
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1243
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1244
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1245
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1246
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1248
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1250
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1251
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1252
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1255
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1256
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1257
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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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1272
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1276
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1289
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1290
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1291
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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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1310
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1312
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1315
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1316
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1317
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1318
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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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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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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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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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1379
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1380
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1381
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1382
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1383
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1385
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1386
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1387
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1388
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1389
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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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1398
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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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1408
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1410
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1411
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1413
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1414
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1419
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1422
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1423
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1424
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1425
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1426
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1427
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1428
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1429
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1430
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1431
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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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1440
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1441
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1444
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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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1450
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1451
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1452
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1453
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1454
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1456
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1469
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1471
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1472
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1474
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1475
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1477
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1481
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1483
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1486
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1487
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1489
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1490
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1491
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1492
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1494
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1495
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1496
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1500
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1501
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1502
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1503
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1504
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1505
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1506
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1510
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1513
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1514
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1515
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1516
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1526
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1527
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1528
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1530
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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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1606
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1607
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1608
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1611
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1612
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1614
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1615
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1632
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1634
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1720
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1722
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1723
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1729
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1731
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1732
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1743
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1972
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1979
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1982
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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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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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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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2023
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2351
+ - surreal
2352
+ - troops
2353
+ - loving
2354
+ - los
2355
+ - angeles
2356
+ - schools
2357
+ - kinds
2358
+ - secrets
2359
+ - explore
2360
+ - rip
2361
+ - nuts
2362
+ - champions
2363
+ - leaning
2364
+ - towards
2365
+ - communications
2366
+ - broad
2367
+ - confined
2368
+ - ropes
2369
+ - recording
2370
+ - depending
2371
+ - leads
2372
+ - bypass
2373
+ - zero
2374
+ - pleasant
2375
+ - ebay
2376
+ - bye
2377
+ - steve
2378
+ - hint
2379
+ - asks
2380
+ - tone
2381
+ - pretend
2382
+ - protection
2383
+ - rid
2384
+ - submit
2385
+ - print
2386
+ - regarding
2387
+ - grievance
2388
+ - sites
2389
+ - protected
2390
+ - processed
2391
+ - careful
2392
+ - secure
2393
+ - unreliable
2394
+ - trash
2395
+ - kept
2396
+ - spotting
2397
+ - certain
2398
+ - specifically
2399
+ - pushing
2400
+ - headed
2401
+ - ears
2402
+ - watched
2403
+ - sends
2404
+ - ceaseless
2405
+ - wear
2406
+ - often
2407
+ - pleasure
2408
+ - sonya
2409
+ - promoted
2410
+ - nurses
2411
+ - mommy
2412
+ - va
2413
+ - videotaped
2414
+ - cousin
2415
+ - postpone
2416
+ - performance
2417
+ - swear
2418
+ - cast
2419
+ - spotlight
2420
+ - microphone
2421
+ - tripped
2422
+ - surprise
2423
+ - scored
2424
+ - points
2425
+ - members
2426
+ - loser
2427
+ - marrying
2428
+ - weddings
2429
+ - carats
2430
+ - lousy
2431
+ - chaperone
2432
+ - drowsy
2433
+ - deserve
2434
+ - cry
2435
+ - tears
2436
+ - happiness
2437
+ - marriage
2438
+ - commercials
2439
+ - refection
2440
+ - financially
2441
+ - studied
2442
+ - passing
2443
+ - russel
2444
+ - crowe
2445
+ - pooling
2446
+ - funds
2447
+ - owe
2448
+ - learning
2449
+ - role
2450
+ - auditions
2451
+ - denny
2452
+ - tip
2453
+ - teaching
2454
+ - oof
2455
+ - france
2456
+ - steal
2457
+ - keys
2458
+ - laughing
2459
+ - rosenkrantz
2460
+ - thingy
2461
+ - bopper
2462
+ - limit
2463
+ - whoa
2464
+ - ways
2465
+ - suffered
2466
+ - disease
2467
+ - handsome
2468
+ - gifted
2469
+ - parent
2470
+ - ripped
2471
+ - uveny
2472
+ - tricia
2473
+ - chemo
2474
+ - baseball
2475
+ - benny
2476
+ - nat
2477
+ - nation
2478
+ - bread
2479
+ - eat
2480
+ - beer
2481
+ - dorm
2482
+ - sometime
2483
+ - mattresses
2484
+ - reserved
2485
+ - grauman
2486
+ - scale
2487
+ - whooooo
2488
+ - acti
2489
+ - film
2490
+ - art
2491
+ - academy
2492
+ - films
2493
+ - fuck
2494
+ - ethiopia
2495
+ - cuddle
2496
+ - profanity
2497
+ - provider
2498
+ - satellites
2499
+ - average
2500
+ - compensating
2501
+ - unbeknownst
2502
+ - satellite
2503
+ - exaggerate
2504
+ - advising
2505
+ - addressed
2506
+ - fax
2507
+ - dumb
2508
+ - fritz
2509
+ - incoming
2510
+ - million
2511
+ - grown
2512
+ - fella
2513
+ - shootin
2514
+ - travel
2515
+ - sat
2516
+ - instinct
2517
+ - goosebumps
2518
+ - arms
2519
+ - danced
2520
+ - intimately
2521
+ - spart
2522
+ - strumpets
2523
+ - bristling
2524
+ - diamonds
2525
+ - taste
2526
+ - portion
2527
+ - side
2528
+ - stairs
2529
+ - condescending
2530
+ - copy
2531
+ - proceed
2532
+ - remove
2533
+ - missy
2534
+ - behaving
2535
+ - sweetie
2536
+ - deploy
2537
+ - specialist
2538
+ - increase
2539
+ - triple
2540
+ - promotion
2541
+ - retire
2542
+ - quiets
2543
+ - faster
2544
+ - career
2545
+ - lame
2546
+ - drew
2547
+ - barrymore
2548
+ - nasty
2549
+ - mouse
2550
+ - cheesy
2551
+ - jane
2552
+ - tarzan
2553
+ - engaged
2554
+ - esmeralda
2555
+ - hitched
2556
+ - spontaneous
2557
+ - character
2558
+ - conga
2559
+ - dim
2560
+ - pulled
2561
+ - chucky
2562
+ - sarah
2563
+ - guiding
2564
+ - graduated
2565
+ - apply
2566
+ - colleges
2567
+ - energy
2568
+ - busing
2569
+ - clerk
2570
+ - excuses
2571
+ - qualified
2572
+ - chang
2573
+ - investment
2574
+ - banking
2575
+ - deloitte
2576
+ - touche
2577
+ - temp
2578
+ - degrading
2579
+ - smarter
2580
+ - astronaut
2581
+ - biomedical
2582
+ - internship
2583
+ - plus
2584
+ - breaking
2585
+ - evicting
2586
+ - typing
2587
+ - shoot
2588
+ - degree
2589
+ - science
2590
+ - club
2591
+ - joking
2592
+ - doomed
2593
+ - maryland
2594
+ - cooperate
2595
+ - emergency
2596
+ - pounds
2597
+ - urn
2598
+ - deduction
2599
+ - sherlock
2600
+ - holmes
2601
+ - vessel
2602
+ - burst
2603
+ - caption
2604
+ - therefore
2605
+ - placed
2606
+ - firing
2607
+ - lobby
2608
+ - fastest
2609
+ - ibm
2610
+ - misplace
2611
+ - count
2612
+ - hanging
2613
+ - explanation
2614
+ - follow
2615
+ - footsteps
2616
+ - overboard
2617
+ - paralyzed
2618
+ - coma
2619
+ - fucked
2620
+ - studying
2621
+ - countries
2622
+ - goal
2623
+ - met
2624
+ - greatest
2625
+ - hopefully
2626
+ - mmmm
2627
+ - cinema
2628
+ - chapter
2629
+ - professionals
2630
+ - sipping
2631
+ - martinis
2632
+ - sushi
2633
+ - vat
2634
+ - assistance
2635
+ - starve
2636
+ - south
2637
+ - central
2638
+ - firm
2639
+ - police
2640
+ - officer
2641
+ - viacom
2642
+ - digits
2643
+ - speaking
2644
+ - network
2645
+ - charging
2646
+ - connect
2647
+ - outages
2648
+ - hurricane
2649
+ - katrina
2650
+ - chose
2651
+ - maam
2652
+ - proven
2653
+ - failing
2654
+ - receive
2655
+ - cuts
2656
+ - using
2657
+ - flip
2658
+ - writing
2659
+ - ms
2660
+ - fall
2661
+ - older
2662
+ - game
2663
+ - orange
2664
+ - pink
2665
+ - goodies
2666
+ - battling
2667
+ - sees
2668
+ - flat
2669
+ - stronger
2670
+ - acted
2671
+ - deserves
2672
+ - hats
2673
+ - shore
2674
+ - pokes
2675
+ - nah
2676
+ - paul
2677
+ - boats
2678
+ - dammit
2679
+ - enjoys
2680
+ - bound
2681
+ - harm
2682
+ - pleasured
2683
+ - lure
2684
+ - devil
2685
+ - rile
2686
+ - topic
2687
+ - initialed
2688
+ - lets
2689
+ - correctly
2690
+ - spelled
2691
+ - signed
2692
+ - shitty
2693
+ - timing
2694
+ - susie
2695
+ - tours
2696
+ - emotionally
2697
+ - bullshit
2698
+ - enlist
2699
+ - lie
2700
+ - traditional
2701
+ - church
2702
+ - cabins
2703
+ - flowery
2704
+ - naturey
2705
+ - midsummer
2706
+ - excitement
2707
+ - hoping
2708
+ - attacked
2709
+ - bears
2710
+ - trim
2711
+ - cooler
2712
+ - dog
2713
+ - tanish
2714
+ - contrast
2715
+ - cake
2716
+ - buffet
2717
+ - fried
2718
+ - chicken
2719
+ - mashed
2720
+ - potatoes
2721
+ - happier
2722
+ - thrilled
2723
+ - ecstatic
2724
+ - rushed
2725
+ - pressure
2726
+ - interviews
2727
+ - favors
2728
+ - bite
2729
+ - excessive
2730
+ - unemployed
2731
+ - cab
2732
+ - gas
2733
+ - possibly
2734
+ - extreme
2735
+ - trained
2736
+ - presentable
2737
+ - quote
2738
+ - buck
2739
+ - chugging
2740
+ - engine
2741
+ - realm
2742
+ - minimum
2743
+ - wage
2744
+ - fry
2745
+ - flipper
2746
+ - bottom
2747
+ - clear
2748
+ - affect
2749
+ - cle
2750
+ - dressed
2751
+ - shave
2752
+ - legs
2753
+ - presentation
2754
+ - eighty
2755
+ - success
2756
+ - position
2757
+ - training
2758
+ - mcdonalds
2759
+ - tv
2760
+ - rainbow
2761
+ - colored
2762
+ - crap
2763
+ - safely
2764
+ - destination
2765
+ - percoes
2766
+ - equivalent
2767
+ - amends
2768
+ - courtesy
2769
+ - inconveniencing
2770
+ - near
2771
+ - communicate
2772
+ - conditions
2773
+ - frequently
2774
+ - current
2775
+ - expecting
2776
+ - pissed
2777
+ - honor
2778
+ - grandmother
2779
+ - condition
2780
+ - inevitable
2781
+ - peace
2782
+ - general
2783
+ - mace
2784
+ - present
2785
+ - knife
2786
+ - puny
2787
+ - underwater
2788
+ - basket
2789
+ - weaving
2790
+ - lying
2791
+ - decided
2792
+ - works
2793
+ - worried
2794
+ - occasion
2795
+ - cruisers
2796
+ - vibe
2797
+ - greek
2798
+ - lessons
2799
+ - suck
2800
+ - celebrating
2801
+ - crush
2802
+ - throughout
2803
+ - test
2804
+ - waters
2805
+ - movies
2806
+ - vermont
2807
+ - cruiser
2808
+ - abused
2809
+ - frat
2810
+ - boys
2811
+ - dorms
2812
+ - dell
2813
+ - requests
2814
+ - fixed
2815
+ - dealt
2816
+ - worries
2817
+ - refunded
2818
+ - situa
2819
+ - relevant
2820
+ - ordered
2821
+ - orders
2822
+ - others
2823
+ - incorrectly
2824
+ - tomatoes
2825
+ - del
2826
+ - cents
2827
+ - attached
2828
+ - cuz
2829
+ - hoped
2830
+ - opportunity
2831
+ - rushing
2832
+ - goods
2833
+ - skipped
2834
+ - breath
2835
+ - kleenex
2836
+ - alaska
2837
+ - bearing
2838
+ - hated
2839
+ - holes
2840
+ - calf
2841
+ - witch
2842
+ - whore
2843
+ - <sos/eos>
2844
+ init: null
2845
+ input_size: null
2846
+ ctc_conf:
2847
+ dropout_rate: 0.0
2848
+ ctc_type: builtin
2849
+ reduce: true
2850
+ ignore_nan_grad: true
2851
+ joint_net_conf: null
2852
+ model_conf:
2853
+ ctc_weight: 0.5
2854
+ ignore_id: -1
2855
+ lsm_weight: 0.0
2856
+ length_normalized_loss: false
2857
+ report_cer: true
2858
+ report_wer: true
2859
+ sym_space: <space>
2860
+ sym_blank: <blank>
2861
+ extract_feats_in_collect_stats: true
2862
+ use_preprocessor: true
2863
+ token_type: word
2864
+ bpemodel: null
2865
+ non_linguistic_symbols: null
2866
+ cleaner: null
2867
+ g2p: null
2868
+ speech_volume_normalize: null
2869
+ rir_scp: null
2870
+ rir_apply_prob: 1.0
2871
+ noise_scp: null
2872
+ noise_apply_prob: 1.0
2873
+ noise_db_range: '13_15'
2874
+ frontend: default
2875
+ frontend_conf:
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: null
2895
+ preencoder_conf: {}
2896
+ encoder: conformer
2897
+ encoder_conf:
2898
+ output_size: 512
2899
+ attention_heads: 4
2900
+ linear_units: 2048
2901
+ num_blocks: 12
2902
+ dropout_rate: 0.1
2903
+ positional_dropout_rate: 0.1
2904
+ attention_dropout_rate: 0.1
2905
+ input_layer: conv2d
2906
+ normalize_before: true
2907
+ macaron_style: true
2908
+ pos_enc_layer_type: rel_pos
2909
+ selfattention_layer_type: rel_selfattn
2910
+ activation_type: swish
2911
+ use_cnn_module: true
2912
+ cnn_module_kernel: 31
2913
+ postencoder: null
2914
+ postencoder_conf: {}
2915
+ decoder: transformer
2916
+ decoder_conf:
2917
+ attention_heads: 4
2918
+ linear_units: 2048
2919
+ num_blocks: 6
2920
+ dropout_rate: 0.1
2921
+ positional_dropout_rate: 0.1
2922
+ self_attention_dropout_rate: 0.1
2923
+ src_attention_dropout_rate: 0.1
2924
+ required:
2925
+ - output_dir
2926
+ - token_list
2927
+ version: 0.10.7a1
2928
+ distributed: false
2929
+ ```
2930
+
2931
+ </details>
2932
+
2933
+
2934
+
2935
+ ### Citing ESPnet
2936
+
2937
+ ```BibTex
2938
+ @inproceedings{watanabe2018espnet,
2939
+ 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},
2940
+ title={{ESPnet}: End-to-End Speech Processing Toolkit},
2941
+ year={2018},
2942
+ booktitle={Proceedings of Interspeech},
2943
+ pages={2207--2211},
2944
+ doi={10.21437/Interspeech.2018-1456},
2945
+ url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
2946
+ }
2947
+
2948
+
2949
+
2950
+
2951
+ ```
2952
+
2953
+ or arXiv:
2954
+
2955
+ ```bibtex
2956
+ @misc{watanabe2018espnet,
2957
+ title={ESPnet: End-to-End Speech Processing Toolkit},
2958
+ 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},
2959
+ year={2018},
2960
+ eprint={1804.00015},
2961
+ archivePrefix={arXiv},
2962
+ primaryClass={cs.CL}
2963
+ }
2964
+ ```
exp/asr_stats_raw_en_word/train/feats_stats.npz ADDED
Binary file (778 Bytes). View file
 
exp/asr_train_asr_conformer_raw_en_word/RESULTS.md ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <!-- Generated by scripts/utils/show_asr_result.sh -->
2
+ # RESULTS
3
+ ## Environments
4
+ - date: `Thu Feb 17 11:25:22 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 and Transformer based decoder with spectral augmentation and predicting transcript along with sentiment
12
+ - ASR config: [conf/tuning/train_asr_conformer.yaml](conf/tuning/train_asr_conformer.yaml)
13
+ - token_type: word
14
+ - 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|53.9|65.7|66.4|
19
+ |decode_asr_model_valid.acc.ave_10best/test|1650|50.3|54.5|55.7|
exp/asr_train_asr_conformer_raw_en_word/config.yaml ADDED
@@ -0,0 +1,2876 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628
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629
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631
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634
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641
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679
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1527
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1529
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1540
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1543
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1544
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1545
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1548
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1549
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1550
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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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1565
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1601
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