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spacy
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de_dep_news_trf

Token Classification spaCy German Eval Results
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adrianeboyd commited on
Commit
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1 Parent(s): dc398d9

Update spaCy pipeline

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Files changed (14) hide show
  1. README.md +21 -21
  2. accuracy.json +153 -148
  3. config.cfg +2 -1
  4. de_dep_news_trf-any-py3-none-any.whl +2 -2
  5. lemmatizer/cfg +430 -435
  6. lemmatizer/model +2 -2
  7. lemmatizer/trees +0 -0
  8. meta.json +157 -152
  9. morphologizer/model +1 -1
  10. parser/model +1 -1
  11. tagger/model +1 -1
  12. tokenizer +1 -1
  13. transformer/model +2 -2
  14. vocab/strings.json +2 -2
README.md CHANGED
@@ -14,49 +14,49 @@ model-index:
14
  metrics:
15
  - name: TAG (XPOS) Accuracy
16
  type: accuracy
17
- value: 0.9905311916
18
  - task:
19
  name: POS
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  type: token-classification
21
  metrics:
22
  - name: POS (UPOS) Accuracy
23
  type: accuracy
24
- value: 0.9913637595
25
  - task:
26
  name: MORPH
27
  type: token-classification
28
  metrics:
29
  - name: Morph (UFeats) Accuracy
30
  type: accuracy
31
- value: 0.9697694549
32
  - task:
33
  name: LEMMA
34
  type: token-classification
35
  metrics:
36
  - name: Lemma Accuracy
37
  type: accuracy
38
- value: 0.9869043529
39
  - task:
40
  name: UNLABELED_DEPENDENCIES
41
  type: token-classification
42
  metrics:
43
  - name: Unlabeled Attachment Score (UAS)
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  type: f_score
45
- value: 0.9596322281
46
  - task:
47
  name: LABELED_DEPENDENCIES
48
  type: token-classification
49
  metrics:
50
  - name: Labeled Attachment Score (LAS)
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  type: f_score
52
- value: 0.9482294969
53
  - task:
54
  name: SENTS
55
  type: token-classification
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  metrics:
57
  - name: Sentences F-Score
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  type: f_score
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- value: 0.9825647374
60
  ---
61
  ### Details: https://spacy.io/models/de#de_dep_news_trf
62
 
@@ -65,8 +65,8 @@ German transformer pipeline (bert-base-german-cased). Components: transformer, t
65
  | Feature | Description |
66
  | --- | --- |
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  | **Name** | `de_dep_news_trf` |
68
- | **Version** | `3.4.0` |
69
- | **spaCy** | `>=3.4.0,<3.5.0` |
70
  | **Default Pipeline** | `transformer`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler` |
71
  | **Components** | `transformer`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler` |
72
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -92,19 +92,19 @@ German transformer pipeline (bert-base-german-cased). Components: transformer, t
92
 
93
  | Type | Score |
94
  | --- | --- |
95
- | `TOKEN_ACC` | 99.98 |
96
  | `TOKEN_P` | 99.92 |
97
  | `TOKEN_R` | 99.90 |
98
  | `TOKEN_F` | 99.91 |
99
- | `TAG_ACC` | 99.05 |
100
- | `POS_ACC` | 99.14 |
101
- | `MORPH_ACC` | 96.98 |
102
- | `MORPH_MICRO_P` | 98.84 |
103
- | `MORPH_MICRO_R` | 98.86 |
104
  | `MORPH_MICRO_F` | 98.85 |
105
- | `SENTS_P` | 98.10 |
106
- | `SENTS_R` | 98.41 |
107
- | `SENTS_F` | 98.26 |
108
- | `DEP_UAS` | 95.96 |
109
- | `DEP_LAS` | 94.82 |
110
- | `LEMMA_ACC` | 98.69 |
14
  metrics:
15
  - name: TAG (XPOS) Accuracy
16
  type: accuracy
17
+ value: 0.990643584
18
  - task:
19
  name: POS
20
  type: token-classification
21
  metrics:
22
  - name: POS (UPOS) Accuracy
23
  type: accuracy
24
+ value: 0.9915288956
25
  - task:
26
  name: MORPH
27
  type: token-classification
28
  metrics:
29
  - name: Morph (UFeats) Accuracy
30
  type: accuracy
31
+ value: 0.9699941191
32
  - task:
33
  name: LEMMA
34
  type: token-classification
35
  metrics:
36
  - name: Lemma Accuracy
37
  type: accuracy
38
+ value: 0.9873800777
39
  - task:
40
  name: UNLABELED_DEPENDENCIES
41
  type: token-classification
42
  metrics:
43
  - name: Unlabeled Attachment Score (UAS)
44
  type: f_score
45
+ value: 0.9593756103
46
  - task:
47
  name: LABELED_DEPENDENCIES
48
  type: token-classification
49
  metrics:
50
  - name: Labeled Attachment Score (LAS)
51
  type: f_score
52
+ value: 0.9480405339
53
  - task:
54
  name: SENTS
55
  type: token-classification
56
  metrics:
57
  - name: Sentences F-Score
58
  type: f_score
59
+ value: 0.9827461515
60
  ---
61
  ### Details: https://spacy.io/models/de#de_dep_news_trf
62
 
65
  | Feature | Description |
66
  | --- | --- |
67
  | **Name** | `de_dep_news_trf` |
68
+ | **Version** | `3.5.0` |
69
+ | **spaCy** | `>=3.5.0,<3.6.0` |
70
  | **Default Pipeline** | `transformer`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler` |
71
  | **Components** | `transformer`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler` |
72
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
92
 
93
  | Type | Score |
94
  | --- | --- |
95
+ | `TOKEN_ACC` | 99.96 |
96
  | `TOKEN_P` | 99.92 |
97
  | `TOKEN_R` | 99.90 |
98
  | `TOKEN_F` | 99.91 |
99
+ | `TAG_ACC` | 99.06 |
100
+ | `POS_ACC` | 99.15 |
101
+ | `MORPH_ACC` | 97.00 |
102
+ | `MORPH_MICRO_P` | 98.83 |
103
+ | `MORPH_MICRO_R` | 98.87 |
104
  | `MORPH_MICRO_F` | 98.85 |
105
+ | `SENTS_P` | 98.26 |
106
+ | `SENTS_R` | 98.28 |
107
+ | `SENTS_F` | 98.27 |
108
+ | `DEP_UAS` | 95.94 |
109
+ | `DEP_LAS` | 94.80 |
110
+ | `LEMMA_ACC` | 98.74 |
accuracy.json CHANGED
@@ -1,69 +1,69 @@
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  {
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- "token_acc": 0.9998017682,
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  "token_p": 0.9991808044,
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  "token_r": 0.9990356034,
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  "token_f": 0.9991081986,
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- "tag_acc": 0.9905311916,
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- "pos_acc": 0.9913637595,
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- "morph_acc": 0.9697694549,
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- "morph_micro_p": 0.9883584551,
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- "morph_micro_r": 0.9885593491,
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- "morph_micro_f": 0.9884588919,
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  "morph_per_feat": {
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  "Case": {
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- "p": 0.9761288932,
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- "r": 0.9775775074,
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- "f": 0.9768526632
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  },
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  "Definite": {
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- "r": 0.9997718978,
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- "f": 0.9996008894
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  },
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  "Gender": {
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- "f": 0.9850296025
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  },
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  "Number": {
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  },
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  "PronType": {
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- "p": 0.9981329653,
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  "Degree": {
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  },
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  "VerbForm": {
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  },
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  "Mood": {
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- "p": 0.9897231891,
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  "Person": {
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  },
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  "Tense": {
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- "p": 0.9971727923,
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- "r": 0.9975045749,
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- "f": 0.997338656
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  },
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  "Reflex": {
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- "p": 0.9976247031,
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- "r": 0.9952606635,
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- "f": 0.9964412811
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  },
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  "Poss": {
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  "p": 1.0,
@@ -71,66 +71,66 @@
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  "f": 1.0
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  },
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  "Foreign": {
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- "p": 0.7358490566,
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- "r": 0.1959798995,
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  }
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  },
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- "sents_p": 0.9810465595,
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- "sents_r": 0.9840876214,
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- "sents_f": 0.9825647374,
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- "dep_uas": 0.9596322281,
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- "dep_las": 0.9482294969,
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  "dep_las_per_type": {
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  "cp": {
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- "p": 0.9908592322,
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  "mnr": {
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  "root": {
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@@ -138,69 +138,69 @@
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  "nmc": {
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  "pnc": {
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  "ju": {
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@@ -208,14 +208,14 @@
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  "f": 0.9253731343
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  },
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  "ng": {
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  "re": {
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- "p": 0.843373494,
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  "dep": {
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@@ -223,44 +223,44 @@
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  "f": 0.0
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  "cm": {
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  "cc": {
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@@ -278,9 +278,14 @@
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  },
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  "og": {
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  "r": 0.7142857143,
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- "f": 0.5263157895
 
 
 
 
 
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  },
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  "adc": {
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  "p": 0.75,
@@ -288,6 +293,6 @@
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  "f": 0.8571428571
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  }
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  },
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- "lemma_acc": 0.9869043529,
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- "speed": 5696.9090594522
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  }
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  {
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  "token_p": 0.9991808044,
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  "token_r": 0.9990356034,
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  "token_f": 0.9991081986,
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+ "tag_acc": 0.990643584,
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+ "pos_acc": 0.9915288956,
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  "morph_per_feat": {
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  "Case": {
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  "Definite": {
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  "Number": {
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  "Degree": {
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  "Mood": {
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  "Person": {
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  },
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  "Tense": {
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  "Reflex": {
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  },
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  "Poss": {
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  "Foreign": {
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+ "p": 0.7916666667,
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  }
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  },
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  "dep_las_per_type": {
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  "mo": {
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  "oc": {
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  "root": {
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  "pm": {
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  "nmc": {
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677
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690
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691
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692
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694
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695
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696
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697
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699
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700
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701
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703
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704
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705
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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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720
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722
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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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732
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734
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735
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736
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737
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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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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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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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796
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797
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798
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799
- 1308,
 
 
800
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801
  1312,
802
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803
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804
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805
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806
  1316,
 
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
  1331,
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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822
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824
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825
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826
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827
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829
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830
  1354,
@@ -840,51 +839,49 @@
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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850
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852
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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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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
  1432,
@@ -893,16 +890,16 @@
893
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894
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896
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897
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898
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901
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902
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903
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905
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906
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907
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908
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@@ -915,15 +912,14 @@
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918
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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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@@ -931,57 +927,55 @@
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932
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933
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937
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940
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950
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960
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961
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963
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966
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967
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969
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970
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978
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980
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982
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984
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985
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987
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@@ -1003,35 +997,35 @@
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1004
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1005
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1006
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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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1033
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1050
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1054
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1080
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1122
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1127
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1160
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1214
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1215
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1216
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1226
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1254
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1271
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1274
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1278
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1279
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1301
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312
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313
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314
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316
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318
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320
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339
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343
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351
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352
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357
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392
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416
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419
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420
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421
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422
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423
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441
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442
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489
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490
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514
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515
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516
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522
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523
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528
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529
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530
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533
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535
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536
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537
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539
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540
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542
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543
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567
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571
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575
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580
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582
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585
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586
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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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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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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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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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662
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663
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665
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666
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671
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672
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673
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701
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702
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705
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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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717
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718
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720
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721
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722
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725
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727
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729
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730
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732
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745
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767
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770
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797
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800
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801
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904
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912
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915
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952
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953
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980
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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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1004
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1010
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1018
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1021
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1042
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1043
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1044
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1065
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1070
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1071
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1072
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1073
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1080
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1083
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1087
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1088
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1090
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1092
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1093
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1094
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1096
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1100
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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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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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1121
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1122
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1123
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1124
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1126
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1127
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1128
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1129
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1130
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1131
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1132
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1133
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1134
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1135
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1136
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1137
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1138
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1139
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1140
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1141
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1142
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1143
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1144
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1145
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1146
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1149
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1150
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1151
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1152
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1154
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1156
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1157
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1159
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1160
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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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1167
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1168
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1169
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1170
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1171
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1172
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1173
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1174
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1175
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1176
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1177
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1178
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1179
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1180
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1181
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1182
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1183
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1184
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1185
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1186
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1187
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1188
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1189
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1190
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1191
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1192
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1193
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1194
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1195
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1196
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1197
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1198
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1199
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1200
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1201
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1202
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1203
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1204
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1205
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1206
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1207
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1208
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1209
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1210
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1211
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1212
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1213
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1214
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1215
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1216
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1217
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1218
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1219
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1220
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1221
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1222
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1223
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1224
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1225
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1226
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1227
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1228
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1229
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