Update spaCy pipeline
Browse files- .gitattributes +2 -0
- README.md +56 -0
- config.cfg +152 -0
- grc_ner_trf-any-py3-none-any.whl +3 -0
- meta.json +97 -0
- ner/cfg +13 -0
- ner/model +0 -0
- ner/moves +1 -0
- tokenizer +4 -0
- transformer/cfg +3 -0
- transformer/model +3 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +0 -0
- vocab/vectors +0 -0
- vocab/vectors.cfg +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
36 |
+
grc_ner_trf-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
|
37 |
+
transformer/model filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
tags:
|
3 |
+
- spacy
|
4 |
+
- token-classification
|
5 |
+
language:
|
6 |
+
- grc
|
7 |
+
model-index:
|
8 |
+
- name: grc_ner_trf
|
9 |
+
results:
|
10 |
+
- task:
|
11 |
+
name: NER
|
12 |
+
type: token-classification
|
13 |
+
metrics:
|
14 |
+
- name: NER Precision
|
15 |
+
type: precision
|
16 |
+
value: 0.9246733282
|
17 |
+
- name: NER Recall
|
18 |
+
type: recall
|
19 |
+
value: 0.9086102719
|
20 |
+
- name: NER F Score
|
21 |
+
type: f_score
|
22 |
+
value: 0.9165714286
|
23 |
+
---
|
24 |
+
| Feature | Description |
|
25 |
+
| --- | --- |
|
26 |
+
| **Name** | `grc_ner_trf` |
|
27 |
+
| **Version** | `3.7` |
|
28 |
+
| **spaCy** | `>=3.7.4,<3.8.0` |
|
29 |
+
| **Default Pipeline** | `transformer`, `ner` |
|
30 |
+
| **Components** | `transformer`, `ner` |
|
31 |
+
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
32 |
+
| **Sources** | n/a |
|
33 |
+
| **License** | n/a |
|
34 |
+
| **Author** | [n/a]() |
|
35 |
+
|
36 |
+
### Label Scheme
|
37 |
+
|
38 |
+
<details>
|
39 |
+
|
40 |
+
<summary>View label scheme (9 labels for 1 components)</summary>
|
41 |
+
|
42 |
+
| Component | Labels |
|
43 |
+
| --- | --- |
|
44 |
+
| **`ner`** | `EVENT`, `GOD`, `GPE`, `LANGUAGE`, `LOC`, `NORP`, `ORG`, `PERSON`, `WORK` |
|
45 |
+
|
46 |
+
</details>
|
47 |
+
|
48 |
+
### Accuracy
|
49 |
+
|
50 |
+
| Type | Score |
|
51 |
+
| --- | --- |
|
52 |
+
| `ENTS_F` | 91.44 |
|
53 |
+
| `ENTS_P` | 91.72 |
|
54 |
+
| `ENTS_R` | 91.16 |
|
55 |
+
| `TRANSFORMER_LOSS` | 34008.99 |
|
56 |
+
| `NER_LOSS` | 48633.82 |
|
config.cfg
ADDED
@@ -0,0 +1,152 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
[paths]
|
2 |
+
train = "corpus/ner/train.spacy"
|
3 |
+
dev = "corpus/ner/dev.spacy"
|
4 |
+
vectors = null
|
5 |
+
init_tok2vec = null
|
6 |
+
|
7 |
+
[system]
|
8 |
+
gpu_allocator = "pytorch"
|
9 |
+
seed = 0
|
10 |
+
|
11 |
+
[nlp]
|
12 |
+
lang = "grc"
|
13 |
+
pipeline = ["transformer","ner"]
|
14 |
+
batch_size = 128
|
15 |
+
disabled = []
|
16 |
+
before_creation = null
|
17 |
+
after_creation = null
|
18 |
+
after_pipeline_creation = null
|
19 |
+
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
20 |
+
vectors = {"@vectors":"spacy.Vectors.v1"}
|
21 |
+
|
22 |
+
[components]
|
23 |
+
|
24 |
+
[components.ner]
|
25 |
+
factory = "ner"
|
26 |
+
incorrect_spans_key = null
|
27 |
+
moves = null
|
28 |
+
scorer = {"@scorers":"spacy.ner_scorer.v1"}
|
29 |
+
update_with_oracle_cut_size = 100
|
30 |
+
|
31 |
+
[components.ner.model]
|
32 |
+
@architectures = "spacy.TransitionBasedParser.v2"
|
33 |
+
state_type = "ner"
|
34 |
+
extra_state_tokens = false
|
35 |
+
hidden_width = 64
|
36 |
+
maxout_pieces = 2
|
37 |
+
use_upper = false
|
38 |
+
nO = null
|
39 |
+
|
40 |
+
[components.ner.model.tok2vec]
|
41 |
+
@architectures = "spacy-transformers.TransformerListener.v1"
|
42 |
+
grad_factor = 1.0
|
43 |
+
pooling = {"@layers":"reduce_mean.v1"}
|
44 |
+
upstream = "*"
|
45 |
+
|
46 |
+
[components.transformer]
|
47 |
+
factory = "transformer"
|
48 |
+
max_batch_items = 4096
|
49 |
+
set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
|
50 |
+
|
51 |
+
[components.transformer.model]
|
52 |
+
@architectures = "spacy-transformers.TransformerModel.v3"
|
53 |
+
name = "Jacobo/aristoBERTo"
|
54 |
+
mixed_precision = false
|
55 |
+
|
56 |
+
[components.transformer.model.get_spans]
|
57 |
+
@span_getters = "spacy-transformers.strided_spans.v1"
|
58 |
+
window = 128
|
59 |
+
stride = 96
|
60 |
+
|
61 |
+
[components.transformer.model.grad_scaler_config]
|
62 |
+
|
63 |
+
[components.transformer.model.tokenizer_config]
|
64 |
+
use_fast = true
|
65 |
+
|
66 |
+
[components.transformer.model.transformer_config]
|
67 |
+
|
68 |
+
[corpora]
|
69 |
+
|
70 |
+
[corpora.dev]
|
71 |
+
@readers = "spacy.Corpus.v1"
|
72 |
+
path = ${paths.dev}
|
73 |
+
max_length = 0
|
74 |
+
gold_preproc = false
|
75 |
+
limit = 0
|
76 |
+
augmenter = null
|
77 |
+
|
78 |
+
[corpora.train]
|
79 |
+
@readers = "spacy.Corpus.v1"
|
80 |
+
path = ${paths.train}
|
81 |
+
max_length = 0
|
82 |
+
gold_preproc = false
|
83 |
+
limit = 0
|
84 |
+
augmenter = null
|
85 |
+
|
86 |
+
[training]
|
87 |
+
accumulate_gradient = 3
|
88 |
+
dev_corpus = "corpora.dev"
|
89 |
+
train_corpus = "corpora.train"
|
90 |
+
seed = ${system.seed}
|
91 |
+
gpu_allocator = ${system.gpu_allocator}
|
92 |
+
dropout = 0.1
|
93 |
+
patience = 5000
|
94 |
+
max_epochs = 0
|
95 |
+
max_steps = 10000
|
96 |
+
eval_frequency = 200
|
97 |
+
frozen_components = []
|
98 |
+
annotating_components = []
|
99 |
+
before_to_disk = null
|
100 |
+
before_update = null
|
101 |
+
|
102 |
+
[training.batcher]
|
103 |
+
@batchers = "spacy.batch_by_padded.v1"
|
104 |
+
discard_oversize = true
|
105 |
+
size = 2000
|
106 |
+
buffer = 256
|
107 |
+
get_length = null
|
108 |
+
|
109 |
+
[training.logger]
|
110 |
+
@loggers = "spacy.WandbLogger.v3"
|
111 |
+
project_name = "ner"
|
112 |
+
remove_config_values = ["paths.train","paths.dev","corpora.train.path","corpora.dev.path"]
|
113 |
+
log_dataset_dir = "./corpus"
|
114 |
+
model_log_interval = 1000
|
115 |
+
entity = null
|
116 |
+
run_name = null
|
117 |
+
|
118 |
+
[training.optimizer]
|
119 |
+
@optimizers = "Adam.v1"
|
120 |
+
beta1 = 0.9
|
121 |
+
beta2 = 0.999
|
122 |
+
L2_is_weight_decay = true
|
123 |
+
L2 = 0.01
|
124 |
+
grad_clip = 1.0
|
125 |
+
use_averages = false
|
126 |
+
eps = 0.00000001
|
127 |
+
|
128 |
+
[training.optimizer.learn_rate]
|
129 |
+
@schedules = "warmup_linear.v1"
|
130 |
+
warmup_steps = 250
|
131 |
+
total_steps = 20000
|
132 |
+
initial_rate = 0.00005
|
133 |
+
|
134 |
+
[training.score_weights]
|
135 |
+
ents_f = 1.0
|
136 |
+
ents_p = 0.0
|
137 |
+
ents_r = 0.0
|
138 |
+
ents_per_type = null
|
139 |
+
|
140 |
+
[pretraining]
|
141 |
+
|
142 |
+
[initialize]
|
143 |
+
vectors = ${paths.vectors}
|
144 |
+
init_tok2vec = ${paths.init_tok2vec}
|
145 |
+
vocab_data = null
|
146 |
+
lookups = null
|
147 |
+
before_init = null
|
148 |
+
after_init = null
|
149 |
+
|
150 |
+
[initialize.components]
|
151 |
+
|
152 |
+
[initialize.tokenizer]
|
grc_ner_trf-any-py3-none-any.whl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d28808728fd9de72e1aabb883a9405d490955ce63ccb57b4dae9aa9b2431758d
|
3 |
+
size 419094932
|
meta.json
ADDED
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"lang":"grc",
|
3 |
+
"name":"ner_trf",
|
4 |
+
"version":"3.7",
|
5 |
+
"description":"",
|
6 |
+
"author":"",
|
7 |
+
"email":"",
|
8 |
+
"url":"",
|
9 |
+
"license":"",
|
10 |
+
"spacy_version":">=3.7.4,<3.8.0",
|
11 |
+
"spacy_git_version":"bff8725f4",
|
12 |
+
"vectors":{
|
13 |
+
"width":0,
|
14 |
+
"vectors":0,
|
15 |
+
"keys":0,
|
16 |
+
"name":null
|
17 |
+
},
|
18 |
+
"labels":{
|
19 |
+
"transformer":[
|
20 |
+
|
21 |
+
],
|
22 |
+
"ner":[
|
23 |
+
"EVENT",
|
24 |
+
"GOD",
|
25 |
+
"GPE",
|
26 |
+
"LANGUAGE",
|
27 |
+
"LOC",
|
28 |
+
"NORP",
|
29 |
+
"ORG",
|
30 |
+
"PERSON",
|
31 |
+
"WORK"
|
32 |
+
]
|
33 |
+
},
|
34 |
+
"pipeline":[
|
35 |
+
"transformer",
|
36 |
+
"ner"
|
37 |
+
],
|
38 |
+
"components":[
|
39 |
+
"transformer",
|
40 |
+
"ner"
|
41 |
+
],
|
42 |
+
"disabled":[
|
43 |
+
|
44 |
+
],
|
45 |
+
"performance":{
|
46 |
+
"ents_f":0.9165714286,
|
47 |
+
"ents_p":0.9246733282,
|
48 |
+
"ents_r":0.9086102719,
|
49 |
+
"ents_per_type":{
|
50 |
+
"LOC":{
|
51 |
+
"p":0.8786407767,
|
52 |
+
"r":0.8153153153,
|
53 |
+
"f":0.8457943925
|
54 |
+
},
|
55 |
+
"NORP":{
|
56 |
+
"p":0.8990825688,
|
57 |
+
"r":0.9423076923,
|
58 |
+
"f":0.9201877934
|
59 |
+
},
|
60 |
+
"PERSON":{
|
61 |
+
"p":0.960591133,
|
62 |
+
"r":0.9405144695,
|
63 |
+
"f":0.9504467912
|
64 |
+
},
|
65 |
+
"GPE":{
|
66 |
+
"p":1.0,
|
67 |
+
"r":0.75,
|
68 |
+
"f":0.8571428571
|
69 |
+
},
|
70 |
+
"GOD":{
|
71 |
+
"p":0.8913043478,
|
72 |
+
"r":0.7735849057,
|
73 |
+
"f":0.8282828283
|
74 |
+
},
|
75 |
+
"ORG":{
|
76 |
+
"p":1.0,
|
77 |
+
"r":0.25,
|
78 |
+
"f":0.4
|
79 |
+
},
|
80 |
+
"LANGUAGE":{
|
81 |
+
"p":0.0,
|
82 |
+
"r":0.0,
|
83 |
+
"f":0.0
|
84 |
+
},
|
85 |
+
"WORK":{
|
86 |
+
"p":0.0,
|
87 |
+
"r":0.0,
|
88 |
+
"f":0.0
|
89 |
+
}
|
90 |
+
},
|
91 |
+
"transformer_loss":19.7821533541,
|
92 |
+
"ner_loss":304.7150317167
|
93 |
+
},
|
94 |
+
"requirements":[
|
95 |
+
"spacy-transformers>=1.3.4,<1.4.0"
|
96 |
+
]
|
97 |
+
}
|
ner/cfg
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"moves":null,
|
3 |
+
"update_with_oracle_cut_size":100,
|
4 |
+
"multitasks":[
|
5 |
+
|
6 |
+
],
|
7 |
+
"min_action_freq":1,
|
8 |
+
"learn_tokens":false,
|
9 |
+
"beam_width":1,
|
10 |
+
"beam_density":0.0,
|
11 |
+
"beam_update_prob":0.0,
|
12 |
+
"incorrect_spans_key":null
|
13 |
+
}
|
ner/model
ADDED
Binary file (257 kB). View file
|
|
ner/moves
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
��moves��{"0":{},"1":{"PERSON":2290,"NORP":1501,"LOC":790,"GOD":250,"GPE":35,"LANGUAGE":12,"ORG":5,"WORK":2,"EVENT":1},"2":{"PERSON":2290,"NORP":1501,"LOC":790,"GOD":250,"GPE":35,"LANGUAGE":12,"ORG":5,"WORK":2,"EVENT":1},"3":{"PERSON":2290,"NORP":1501,"LOC":790,"GOD":250,"GPE":35,"LANGUAGE":12,"ORG":5,"WORK":2,"EVENT":1},"4":{"PERSON":2290,"NORP":1501,"LOC":790,"GOD":250,"GPE":35,"LANGUAGE":12,"ORG":5,"WORK":2,"EVENT":1,"":1},"5":{"":1}}�cfg��neg_key�
|
tokenizer
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
��prefix_search��^†|^⸏|^〈|^…|^……|^,|^:|^;|^\!|^\?|^¿|^؟|^¡|^\(|^\)|^\[|^\]|^\{|^\}|^<|^>|^_|^#|^\*|^&|^。|^?|^!|^,|^、|^;|^:|^~|^·|^।|^،|^۔|^؛|^٪|^\.\.+|^…|^\'|^"|^”|^“|^`|^‘|^´|^’|^‚|^,|^„|^»|^«|^「|^」|^『|^』|^(|^)|^〔|^〕|^【|^】|^《|^》|^〈|^〉|^〈|^〉|^⟦|^⟧|^\$|^£|^€|^¥|^฿|^US\$|^C\$|^A\$|^₽|^﷼|^₴|^₠|^₡|^₢|^₣|^₤|^₥|^₦|^₧|^₨|^₩|^₪|^₫|^€|^₭|^₮|^₯|^₰|^₱|^₲|^₳|^₴|^₵|^₶|^₷|^₸|^₹|^₺|^₻|^₼|^₽|^₾|^₿|^[\u00A6\u00A9\u00AE\u00B0\u0482\u058D\u058E\u060E\u060F\u06DE\u06E9\u06FD\u06FE\u07F6\u09FA\u0B70\u0BF3-\u0BF8\u0BFA\u0C7F\u0D4F\u0D79\u0F01-\u0F03\u0F13\u0F15-\u0F17\u0F1A-\u0F1F\u0F34\u0F36\u0F38\u0FBE-\u0FC5\u0FC7-\u0FCC\u0FCE\u0FCF\u0FD5-\u0FD8\u109E\u109F\u1390-\u1399\u1940\u19DE-\u19FF\u1B61-\u1B6A\u1B74-\u1B7C\u2100\u2101\u2103-\u2106\u2108\u2109\u2114\u2116\u2117\u211E-\u2123\u2125\u2127\u2129\u212E\u213A\u213B\u214A\u214C\u214D\u214F\u218A\u218B\u2195-\u2199\u219C-\u219F\u21A1\u21A2\u21A4\u21A5\u21A7-\u21AD\u21AF-\u21CD\u21D0\u21D1\u21D3\u21D5-\u21F3\u2300-\u2307\u230C-\u231F\u2322-\u2328\u232B-\u237B\u237D-\u239A\u23B4-\u23DB\u23E2-\u2426\u2440-\u244A\u249C-\u24E9\u2500-\u25B6\u25B8-\u25C0\u25C2-\u25F7\u2600-\u266E\u2670-\u2767\u2794-\u27BF\u2800-\u28FF\u2B00-\u2B2F\u2B45\u2B46\u2B4D-\u2B73\u2B76-\u2B95\u2B98-\u2BC8\u2BCA-\u2BFE\u2CE5-\u2CEA\u2E80-\u2E99\u2E9B-\u2EF3\u2F00-\u2FD5\u2FF0-\u2FFB\u3004\u3012\u3013\u3020\u3036\u3037\u303E\u303F\u3190\u3191\u3196-\u319F\u31C0-\u31E3\u3200-\u321E\u322A-\u3247\u3250\u3260-\u327F\u328A-\u32B0\u32C0-\u32FE\u3300-\u33FF\u4DC0-\u4DFF\uA490-\uA4C6\uA828-\uA82B\uA836\uA837\uA839\uAA77-\uAA79\uFDFD\uFFE4\uFFE8\uFFED\uFFEE\uFFFC\uFFFD\U00010137-\U0001013F\U00010179-\U00010189\U0001018C-\U0001018E\U00010190-\U0001019B\U000101A0\U000101D0-\U000101FC\U00010877\U00010878\U00010AC8\U0001173F\U00016B3C-\U00016B3F\U00016B45\U0001BC9C\U0001D000-\U0001D0F5\U0001D100-\U0001D126\U0001D129-\U0001D164\U0001D16A-\U0001D16C\U0001D183\U0001D184\U0001D18C-\U0001D1A9\U0001D1AE-\U0001D1E8\U0001D200-\U0001D241\U0001D245\U0001D300-\U0001D356\U0001D800-\U0001D9FF\U0001DA37-\U0001DA3A\U0001DA6D-\U0001DA74\U0001DA76-\U0001DA83\U0001DA85\U0001DA86\U0001ECAC\U0001F000-\U0001F02B\U0001F030-\U0001F093\U0001F0A0-\U0001F0AE\U0001F0B1-\U0001F0BF\U0001F0C1-\U0001F0CF\U0001F0D1-\U0001F0F5\U0001F110-\U0001F16B\U0001F170-\U0001F1AC\U0001F1E6-\U0001F202\U0001F210-\U0001F23B\U0001F240-\U0001F248\U0001F250\U0001F251\U0001F260-\U0001F265\U0001F300-\U0001F3FA\U0001F400-\U0001F6D4\U0001F6E0-\U0001F6EC\U0001F6F0-\U0001F6F9\U0001F700-\U0001F773\U0001F780-\U0001F7D8\U0001F800-\U0001F80B\U0001F810-\U0001F847\U0001F850-\U0001F859\U0001F860-\U0001F887\U0001F890-\U0001F8AD\U0001F900-\U0001F90B\U0001F910-\U0001F93E\U0001F940-\U0001F970\U0001F973-\U0001F976\U0001F97A\U0001F97C-\U0001F9A2\U0001F9B0-\U0001F9B9\U0001F9C0-\U0001F9C2\U0001F9D0-\U0001F9FF\U0001FA60-\U0001FA6D]�suffix_search�
|
2 |
+
�…$|……$|,$|:$|;$|\!$|\?$|¿$|؟$|¡$|\($|\)$|\[$|\]$|\{$|\}$|<$|>$|_$|#$|\*$|&$|。$|?$|!$|,$|、$|;$|:$|~$|·$|।$|،$|۔$|؛$|٪$|\.\.+$|…$|\'$|"$|”$|“$|`$|‘$|´$|’$|‚$|,$|„$|»$|«$|「$|」$|『$|』$|($|)$|〔$|〕$|【$|】$|《$|》$|〈$|〉$|〈$|〉$|⟦$|⟧$|[\u00A6\u00A9\u00AE\u00B0\u0482\u058D\u058E\u060E\u060F\u06DE\u06E9\u06FD\u06FE\u07F6\u09FA\u0B70\u0BF3-\u0BF8\u0BFA\u0C7F\u0D4F\u0D79\u0F01-\u0F03\u0F13\u0F15-\u0F17\u0F1A-\u0F1F\u0F34\u0F36\u0F38\u0FBE-\u0FC5\u0FC7-\u0FCC\u0FCE\u0FCF\u0FD5-\u0FD8\u109E\u109F\u1390-\u1399\u1940\u19DE-\u19FF\u1B61-\u1B6A\u1B74-\u1B7C\u2100\u2101\u2103-\u2106\u2108\u2109\u2114\u2116\u2117\u211E-\u2123\u2125\u2127\u2129\u212E\u213A\u213B\u214A\u214C\u214D\u214F\u218A\u218B\u2195-\u2199\u219C-\u219F\u21A1\u21A2\u21A4\u21A5\u21A7-\u21AD\u21AF-\u21CD\u21D0\u21D1\u21D3\u21D5-\u21F3\u2300-\u2307\u230C-\u231F\u2322-\u2328\u232B-\u237B\u237D-\u239A\u23B4-\u23DB\u23E2-\u2426\u2440-\u244A\u249C-\u24E9\u2500-\u25B6\u25B8-\u25C0\u25C2-\u25F7\u2600-\u266E\u2670-\u2767\u2794-\u27BF\u2800-\u28FF\u2B00-\u2B2F\u2B45\u2B46\u2B4D-\u2B73\u2B76-\u2B95\u2B98-\u2BC8\u2BCA-\u2BFE\u2CE5-\u2CEA\u2E80-\u2E99\u2E9B-\u2EF3\u2F00-\u2FD5\u2FF0-\u2FFB\u3004\u3012\u3013\u3020\u3036\u3037\u303E\u303F\u3190\u3191\u3196-\u319F\u31C0-\u31E3\u3200-\u321E\u322A-\u3247\u3250\u3260-\u327F\u328A-\u32B0\u32C0-\u32FE\u3300-\u33FF\u4DC0-\u4DFF\uA490-\uA4C6\uA828-\uA82B\uA836\uA837\uA839\uAA77-\uAA79\uFDFD\uFFE4\uFFE8\uFFED\uFFEE\uFFFC\uFFFD\U00010137-\U0001013F\U00010179-\U00010189\U0001018C-\U0001018E\U00010190-\U0001019B\U000101A0\U000101D0-\U000101FC\U00010877\U00010878\U00010AC8\U0001173F\U00016B3C-\U00016B3F\U00016B45\U0001BC9C\U0001D000-\U0001D0F5\U0001D100-\U0001D126\U0001D129-\U0001D164\U0001D16A-\U0001D16C\U0001D183\U0001D184\U0001D18C-\U0001D1A9\U0001D1AE-\U0001D1E8\U0001D200-\U0001D241\U0001D245\U0001D300-\U0001D356\U0001D800-\U0001D9FF\U0001DA37-\U0001DA3A\U0001DA6D-\U0001DA74\U0001DA76-\U0001DA83\U0001DA85\U0001DA86\U0001ECAC\U0001F000-\U0001F02B\U0001F030-\U0001F093\U0001F0A0-\U0001F0AE\U0001F0B1-\U0001F0BF\U0001F0C1-\U0001F0CF\U0001F0D1-\U0001F0F5\U0001F110-\U0001F16B\U0001F170-\U0001F1AC\U0001F1E6-\U0001F202\U0001F210-\U0001F23B\U0001F240-\U0001F248\U0001F250\U0001F251\U0001F260-\U0001F265\U0001F300-\U0001F3FA\U0001F400-\U0001F6D4\U0001F6E0-\U0001F6EC\U0001F6F0-\U0001F6F9\U0001F700-\U0001F773\U0001F780-\U0001F7D8\U0001F800-\U0001F80B\U0001F810-\U0001F847\U0001F850-\U0001F859\U0001F860-\U0001F887\U0001F890-\U0001F8AD\U0001F900-\U0001F90B\U0001F910-\U0001F93E\U0001F940-\U0001F970\U0001F973-\U0001F976\U0001F97A\U0001F97C-\U0001F9A2\U0001F9B0-\U0001F9B9\U0001F9C0-\U0001F9C2\U0001F9D0-\U0001F9FF\U0001FA60-\U0001FA6D]$|†$|⸎$|〉$|(?<=[\u1F00-\u1FFF\u0370-\u03FF])[\-\.⸏]$�infix_finditer�?!\.\.+|…|[\u00A6\u00A9\u00AE\u00B0\u0482\u058D\u058E\u060E\u060F\u06DE\u06E9\u06FD\u06FE\u07F6\u09FA\u0B70\u0BF3-\u0BF8\u0BFA\u0C7F\u0D4F\u0D79\u0F01-\u0F03\u0F13\u0F15-\u0F17\u0F1A-\u0F1F\u0F34\u0F36\u0F38\u0FBE-\u0FC5\u0FC7-\u0FCC\u0FCE\u0FCF\u0FD5-\u0FD8\u109E\u109F\u1390-\u1399\u1940\u19DE-\u19FF\u1B61-\u1B6A\u1B74-\u1B7C\u2100\u2101\u2103-\u2106\u2108\u2109\u2114\u2116\u2117\u211E-\u2123\u2125\u2127\u2129\u212E\u213A\u213B\u214A\u214C\u214D\u214F\u218A\u218B\u2195-\u2199\u219C-\u219F\u21A1\u21A2\u21A4\u21A5\u21A7-\u21AD\u21AF-\u21CD\u21D0\u21D1\u21D3\u21D5-\u21F3\u2300-\u2307\u230C-\u231F\u2322-\u2328\u232B-\u237B\u237D-\u239A\u23B4-\u23DB\u23E2-\u2426\u2440-\u244A\u249C-\u24E9\u2500-\u25B6\u25B8-\u25C0\u25C2-\u25F7\u2600-\u266E\u2670-\u2767\u2794-\u27BF\u2800-\u28FF\u2B00-\u2B2F\u2B45\u2B46\u2B4D-\u2B73\u2B76-\u2B95\u2B98-\u2BC8\u2BCA-\u2BFE\u2CE5-\u2CEA\u2E80-\u2E99\u2E9B-\u2EF3\u2F00-\u2FD5\u2FF0-\u2FFB\u3004\u3012\u3013\u3020\u3036\u3037\u303E\u303F\u3190\u3191\u3196-\u319F\u31C0-\u31E3\u3200-\u321E\u322A-\u3247\u3250\u3260-\u327F\u328A-\u32B0\u32C0-\u32FE\u3300-\u33FF\u4DC0-\u4DFF\uA490-\uA4C6\uA828-\uA82B\uA836\uA837\uA839\uAA77-\uAA79\uFDFD\uFFE4\uFFE8\uFFED\uFFEE\uFFFC\uFFFD\U00010137-\U0001013F\U00010179-\U00010189\U0001018C-\U0001018E\U00010190-\U0001019B\U000101A0\U000101D0-\U000101FC\U00010877\U00010878\U00010AC8\U0001173F\U00016B3C-\U00016B3F\U00016B45\U0001BC9C\U0001D000-\U0001D0F5\U0001D100-\U0001D126\U0001D129-\U0001D164\U0001D16A-\U0001D16C\U0001D183\U0001D184\U0001D18C-\U0001D1A9\U0001D1AE-\U0001D1E8\U0001D200-\U0001D241\U0001D245\U0001D300-\U0001D356\U0001D800-\U0001D9FF\U0001DA37-\U0001DA3A\U0001DA6D-\U0001DA74\U0001DA76-\U0001DA83\U0001DA85\U0001DA86\U0001ECAC\U0001F000-\U0001F02B\U0001F030-\U0001F093\U0001F0A0-\U0001F0AE\U0001F0B1-\U0001F0BF\U0001F0C1-\U0001F0CF\U0001F0D1-\U0001F0F5\U0001F110-\U0001F16B\U0001F170-\U0001F1AC\U0001F1E6-\U0001F202\U0001F210-\U0001F23B\U0001F240-\U0001F248\U0001F250\U0001F251\U0001F260-\U0001F265\U0001F300-\U0001F3FA\U0001F400-\U0001F6D4\U0001F6E0-\U0001F6EC\U0001F6F0-\U0001F6F9\U0001F700-\U0001F773\U0001F780-\U0001F7D8\U0001F800-\U0001F80B\U0001F810-\U0001F847\U0001F850-\U0001F859\U0001F860-\U0001F887\U0001F890-\U0001F8AD\U0001F900-\U0001F90B\U0001F910-\U0001F93E\U0001F940-\U0001F970\U0001F973-\U0001F976\U0001F97A\U0001F97C-\U0001F9A2\U0001F9B0-\U0001F9B9\U0001F9C0-\U0001F9C2\U0001F9D0-\U0001F9FF\U0001FA60-\U0001FA6D]|(?<=[0-9])[+\-\*^](?=[0-9-])|(?<=[a-z\uFF41-\uFF5A\u00DF-\u00F6\u00F8-\u00FF\u0101\u0103\u0105\u0107\u0109\u010B\u010D\u010F\u0111\u0113\u0115\u0117\u0119\u011B\u011D\u011F\u0121\u0123\u0125\u0127\u0129\u012B\u012D\u012F\u0131\u0133\u0135\u0137\u0138\u013A\u013C\u013E\u0140\u0142\u0144\u0146\u0148\u0149\u014B\u014D\u014F\u0151\u0153\u0155\u0157\u0159\u015B\u015D\u015F\u0161\u0163\u0165\u0167\u0169\u016B\u016D\u016F\u0171\u0173\u0175\u0177\u017A\u017C\u017E\u017F\u0180\u0183\u0185\u0188\u018C\u018D\u0192\u0195\u0199-\u019B\u019E\u01A1\u01A3\u01A5\u01A8\u01AA\u01AB\u01AD\u01B0\u01B4\u01B6\u01B9\u01BA\u01BD-\u01BF\u01C6\u01C9\u01CC\u01CE\u01D0\u01D2\u01D4\u01D6\u01D8\u01DA\u01DC\u01DD\u01DF\u01E1\u01E3\u01E5\u01E7\u01E9\u01EB\u01ED\u01EF\u01F0\u01F3\u01F5\u01F9\u01FB\u01FD\u01FF\u0201\u0203\u0205\u0207\u0209\u020B\u020D\u020F\u0211\u0213\u0215\u0217\u0219\u021B\u021D\u021F\u0221\u0223\u0225\u0227\u0229\u022B\u022D\u022F\u0231\u0233-\u0239\u023C\u023F\u0240\u0242\u0247\u0249\u024B\u024D\u024F\u2C61\u2C65\u2C66\u2C68\u2C6A\u2C6C\u2C71\u2C73\u2C74\u2C76-\u2C7B\uA723\uA725\uA727\uA729\uA72B\uA72D\uA72F-\uA731\uA733\uA735\uA737\uA739\uA73B\uA73D\uA73F\uA741\uA743\uA745\uA747\uA749\uA74B\uA74D\uA74F\uA751\uA753\uA755\uA757\uA759\uA75B\uA75D\uA75F\uA761\uA763\uA765\uA767\uA769\uA76B\uA76D\uA76F\uA771-\uA778\uA77A\uA77C\uA77F\uA781\uA783\uA785\uA787\uA78C\uA78E\uA791\uA793-\uA795\uA797\uA799\uA79B\uA79D\uA79F\uA7A1\uA7A3\uA7A5\uA7A7\uA7A9\uA7AF\uA7B5\uA7B7\uA7B9\uA7FA\uAB30-\uAB5A\uAB60-\uAB64\u0250-\u02AF\u1D00-\u1D25\u1D6B-\u1D77\u1D79-\u1D9A\u1E01\u1E03\u1E05\u1E07\u1E09\u1E0B\u1E0D\u1E0F\u1E11\u1E13\u1E15\u1E17\u1E19\u1E1B\u1E1D\u1E1F\u1E21\u1E23\u1E25\u1E27\u1E29\u1E2B\u1E2D\u1E2F\u1E31\u1E33\u1E35\u1E37\u1E39\u1E3B\u1E3D\u1E3F\u1E41\u1E43\u1E45\u1E47\u1E49\u1E4B\u1E4D\u1E4F\u1E51\u1E53\u1E55\u1E57\u1E59\u1E5B\u1E5D\u1E5F\u1E61\u1E63\u1E65\u1E67\u1E69\u1E6B\u1E6D\u1E6F\u1E71\u1E73\u1E75\u1E77\u1E79\u1E7B\u1E7D\u1E7F\u1E81\u1E83\u1E85\u1E87\u1E89\u1E8B\u1E8D\u1E8F\u1E91\u1E93\u1E95-\u1E9D\u1E9F\u1EA1\u1EA3\u1EA5\u1EA7\u1EA9\u1EAB\u1EAD\u1EAF\u1EB1\u1EB3\u1EB5\u1EB7\u1EB9\u1EBB\u1EBD\u1EBF\u1EC1\u1EC3\u1EC5\u1EC7\u1EC9\u1ECB\u1ECD\u1ECF\u1ED1\u1ED3\u1ED5\u1ED7\u1ED9\u1EDB\u1EDD\u1EDF\u1EE1\u1EE3\u1EE5\u1EE7\u1EE9\u1EEB\u1EED\u1EEF\u1EF1\u1EF3\u1EF5\u1EF7\u1EF9\u1EFB\u1EFD\u1EFFёа-яәөүҗңһα-ωάέίόώήύа-щюяіїєґѓѕјљњќѐѝ\u1200-\u137F\u0980-\u09FF\u0591-\u05F4\uFB1D-\uFB4F\u0620-\u064A\u066E-\u06D5\u06E5-\u06FF\u0750-\u077F\u08A0-\u08BD\uFB50-\uFBB1\uFBD3-\uFD3D\uFD50-\uFDC7\uFDF0-\uFDFB\uFE70-\uFEFC\U0001EE00-\U0001EEBB\u0D80-\u0DFF\u0900-\u097F\u0C80-\u0CFF\u0B80-\u0BFF\u0C00-\u0C7F\uAC00-\uD7AF\u1100-\u11FF\u3040-\u309F\u30A0-\u30FFー\u4E00-\u62FF\u6300-\u77FF\u7800-\u8CFF\u8D00-\u9FFF\u3400-\u4DBF\U00020000-\U000215FF\U00021600-\U000230FF\U00023100-\U000245FF\U00024600-\U000260FF\U00026100-\U000275FF\U00027600-\U000290FF\U00029100-\U0002A6DF\U0002A700-\U0002B73F\U0002B740-\U0002B81F\U0002B820-\U0002CEAF\U0002CEB0-\U0002EBEF\u2E80-\u2EFF\u2F00-\u2FDF\u2FF0-\u2FFF\u3000-\u303F\u31C0-\u31EF\u3200-\u32FF\u3300-\u33FF\uF900-\uFAFF\uFE30-\uFE4F\U0001F200-\U0001F2FF\U0002F800-\U0002FA1F\'"”“`‘´’‚,„»«「」『』()〔〕【】《》〈〉〈〉⟦⟧])\.(?=[A-Z\uFF21-\uFF3A\u00C0-\u00D6\u00D8-\u00DE\u0100\u0102\u0104\u0106\u0108\u010A\u010C\u010E\u0110\u0112\u0114\u0116\u0118\u011A\u011C\u011E\u0120\u0122\u0124\u0126\u0128\u012A\u012C\u012E\u0130\u0132\u0134\u0136\u0139\u013B\u013D\u013F\u0141\u0143\u0145\u0147\u014A\u014C\u014E\u0150\u0152\u0154\u0156\u0158\u015A\u015C\u015E\u0160\u0162\u0164\u0166\u0168\u016A\u016C\u016E\u0170\u0172\u0174\u0176\u0178\u0179\u017B\u017D\u0181\u0182\u0184\u0186\u0187\u0189-\u018B\u018E-\u0191\u0193\u0194\u0196-\u0198\u019C\u019D\u019F\u01A0\u01A2\u01A4\u01A6\u01A7\u01A9\u01AC\u01AE\u01AF\u01B1-\u01B3\u01B5\u01B7\u01B8\u01BC\u01C4\u01C7\u01CA\u01CD\u01CF\u01D1\u01D3\u01D5\u01D7\u01D9\u01DB\u01DE\u01E0\u01E2\u01E4\u01E6\u01E8\u01EA\u01EC\u01EE\u01F1\u01F4\u01F6-\u01F8\u01FA\u01FC\u01FE\u0200\u0202\u0204\u0206\u0208\u020A\u020C\u020E\u0210\u0212\u0214\u0216\u0218\u021A\u021C\u021E\u0220\u0222\u0224\u0226\u0228\u022A\u022C\u022E\u0230\u0232\u023A\u023B\u023D\u023E\u0241\u0243-\u0246\u0248\u024A\u024C\u024E\u2C60\u2C62-\u2C64\u2C67\u2C69\u2C6B\u2C6D-\u2C70\u2C72\u2C75\u2C7E\u2C7F\uA722\uA724\uA726\uA728\uA72A\uA72C\uA72E\uA732\uA734\uA736\uA738\uA73A\uA73C\uA73E\uA740\uA742\uA744\uA746\uA748\uA74A\uA74C\uA74E\uA750\uA752\uA754\uA756\uA758\uA75A\uA75C\uA75E\uA760\uA762\uA764\uA766\uA768\uA76A\uA76C\uA76E\uA779\uA77B\uA77D\uA77E\uA780\uA782\uA784\uA786\uA78B\uA78D\uA790\uA792\uA796\uA798\uA79A\uA79C\uA79E\uA7A0\uA7A2\uA7A4\uA7A6\uA7A8\uA7AA-\uA7AE\uA7B0-\uA7B4\uA7B6\uA7B8\u1E00\u1E02\u1E04\u1E06\u1E08\u1E0A\u1E0C\u1E0E\u1E10\u1E12\u1E14\u1E16\u1E18\u1E1A\u1E1C\u1E1E\u1E20\u1E22\u1E24\u1E26\u1E28\u1E2A\u1E2C\u1E2E\u1E30\u1E32\u1E34\u1E36\u1E38\u1E3A\u1E3C\u1E3E\u1E40\u1E42\u1E44\u1E46\u1E48\u1E4A\u1E4C\u1E4E\u1E50\u1E52\u1E54\u1E56\u1E58\u1E5A\u1E5C\u1E5E\u1E60\u1E62\u1E64\u1E66\u1E68\u1E6A\u1E6C\u1E6E\u1E70\u1E72\u1E74\u1E76\u1E78\u1E7A\u1E7C\u1E7E\u1E80\u1E82\u1E84\u1E86\u1E88\u1E8A\u1E8C\u1E8E\u1E90\u1E92\u1E94\u1E9E\u1EA0\u1EA2\u1EA4\u1EA6\u1EA8\u1EAA\u1EAC\u1EAE\u1EB0\u1EB2\u1EB4\u1EB6\u1EB8\u1EBA\u1EBC\u1EBE\u1EC0\u1EC2\u1EC4\u1EC6\u1EC8\u1ECA\u1ECC\u1ECE\u1ED0\u1ED2\u1ED4\u1ED6\u1ED8\u1EDA\u1EDC\u1EDE\u1EE0\u1EE2\u1EE4\u1EE6\u1EE8\u1EEA\u1EEC\u1EEE\u1EF0\u1EF2\u1EF4\u1EF6\u1EF8\u1EFA\u1EFC\u1EFEЁА-ЯӘӨҮҖҢҺΑ-ΩΆΈΊΌΏΉΎА-ЩЮЯІЇЄҐЃЅЈЉЊЌЀЍ\u1200-\u137F\u0980-\u09FF\u0591-\u05F4\uFB1D-\uFB4F\u0620-\u064A\u066E-\u06D5\u06E5-\u06FF\u0750-\u077F\u08A0-\u08BD\uFB50-\uFBB1\uFBD3-\uFD3D\uFD50-\uFDC7\uFDF0-\uFDFB\uFE70-\uFEFC\U0001EE00-\U0001EEBB\u0D80-\u0DFF\u0900-\u097F\u0C80-\u0CFF\u0B80-\u0BFF\u0C00-\u0C7F\uAC00-\uD7AF\u1100-\u11FF\u3040-\u309F\u30A0-\u30FFー\u4E00-\u62FF\u6300-\u77FF\u7800-\u8CFF\u8D00-\u9FFF\u3400-\u4DBF\U00020000-\U000215FF\U00021600-\U000230FF\U00023100-\U000245FF\U00024600-\U000260FF\U00026100-\U000275FF\U00027600-\U000290FF\U00029100-\U0002A6DF\U0002A700-\U0002B73F\U0002B740-\U0002B81F\U0002B820-\U0002CEAF\U0002CEB0-\U0002EBEF\u2E80-\u2EFF\u2F00-\u2FDF\u2FF0-\u2FFF\u3000-\u303F\u31C0-\u31EF\u3200-\u32FF\u3300-\u33FF\uF900-\uFAFF\uFE30-\uFE4F\U0001F200-\U0001F2FF\U0002F800-\U0002FA1F\'"”“`‘´’‚,„»«「」『』()〔〕【】《》〈〉〈〉⟦⟧])|(?<=[A-Za-z\uFF21-\uFF3A\uFF41-\uFF5A\u00C0-\u00D6\u00D8-\u00F6\u00F8-\u00FF\u0100-\u017F\u0180-\u01BF\u01C4-\u024F\u2C60-\u2C7B\u2C7E\u2C7F\uA722-\uA76F\uA771-\uA787\uA78B-\uA78E\uA790-\uA7B9\uA7FA\uAB30-\uAB5A\uAB60-\uAB64\u0250-\u02AF\u1D00-\u1D25\u1D6B-\u1D77\u1D79-\u1D9A\u1E00-\u1EFFёа-яЁА-ЯәөүҗңһӘӨҮҖҢҺα-ωάέίόώήύΑ-ΩΆΈΊΌΏΉΎа-щюяіїєґА-ЩЮЯІЇЄҐѓѕјљњќѐѝЃЅЈЉЊЌЀЍ\u1200-\u137F\u0980-\u09FF\u0591-\u05F4\uFB1D-\uFB4F\u0620-\u064A\u066E-\u06D5\u06E5-\u06FF\u0750-\u077F\u08A0-\u08BD\uFB50-\uFBB1\uFBD3-\uFD3D\uFD50-\uFDC7\uFDF0-\uFDFB\uFE70-\uFEFC\U0001EE00-\U0001EEBB\u0D80-\u0DFF\u0900-\u097F\u0C80-\u0CFF\u0B80-\u0BFF\u0C00-\u0C7F\uAC00-\uD7AF\u1100-\u11FF\u3040-\u309F\u30A0-\u30FFー\u4E00-\u62FF\u6300-\u77FF\u7800-\u8CFF\u8D00-\u9FFF\u3400-\u4DBF\U00020000-\U000215FF\U00021600-\U000230FF\U00023100-\U000245FF\U00024600-\U000260FF\U00026100-\U000275FF\U00027600-\U000290FF\U00029100-\U0002A6DF\U0002A700-\U0002B73F\U0002B740-\U0002B81F\U0002B820-\U0002CEAF\U0002CEB0-\U0002EBEF\u2E80-\u2EFF\u2F00-\u2FDF\u2FF0-\u2FFF\u3000-\u303F\u31C0-\u31EF\u3200-\u32FF\u3300-\u33FF\uF900-\uFAFF\uFE30-\uFE4F\U0001F200-\U0001F2FF\U0002F800-\U0002FA1F]),(?=[A-Za-z\uFF21-\uFF3A\uFF41-\uFF5A\u00C0-\u00D6\u00D8-\u00F6\u00F8-\u00FF\u0100-\u017F\u0180-\u01BF\u01C4-\u024F\u2C60-\u2C7B\u2C7E\u2C7F\uA722-\uA76F\uA771-\uA787\uA78B-\uA78E\uA790-\uA7B9\uA7FA\uAB30-\uAB5A\uAB60-\uAB64\u0250-\u02AF\u1D00-\u1D25\u1D6B-\u1D77\u1D79-\u1D9A\u1E00-\u1EFFёа-яЁА-ЯәөүҗңһӘӨҮҖҢҺα-ωάέίόώήύΑ-ΩΆΈΊΌΏΉΎа-щюяіїєґА-ЩЮЯІЇЄҐѓѕјљњќѐѝЃЅЈЉЊЌЀЍ\u1200-\u137F\u0980-\u09FF\u0591-\u05F4\uFB1D-\uFB4F\u0620-\u064A\u066E-\u06D5\u06E5-\u06FF\u0750-\u077F\u08A0-\u08BD\uFB50-\uFBB1\uFBD3-\uFD3D\uFD50-\uFDC7\uFDF0-\uFDFB\uFE70-\uFEFC\U0001EE00-\U0001EEBB\u0D80-\u0DFF\u0900-\u097F\u0C80-\u0CFF\u0B80-\u0BFF\u0C00-\u0C7F\uAC00-\uD7AF\u1100-\u11FF\u3040-\u309F\u30A0-\u30FFー\u4E00-\u62FF\u6300-\u77FF\u7800-\u8CFF\u8D00-\u9FFF\u3400-\u4DBF\U00020000-\U000215FF\U00021600-\U000230FF\U00023100-\U000245FF\U00024600-\U000260FF\U00026100-\U000275FF\U00027600-\U000290FF\U00029100-\U0002A6DF\U0002A700-\U0002B73F\U0002B740-\U0002B81F\U0002B820-\U0002CEAF\U0002CEB0-\U0002EBEF\u2E80-\u2EFF\u2F00-\u2FDF\u2FF0-\u2FFF\u3000-\u303F\u31C0-\u31EF\u3200-\u32FF\u3300-\u33FF\uF900-\uFAFF\uFE30-\uFE4F\U0001F200-\U0001F2FF\U0002F800-\U0002FA1F])|(?<=[A-Za-z\uFF21-\uFF3A\uFF41-\uFF5A\u00C0-\u00D6\u00D8-\u00F6\u00F8-\u00FF\u0100-\u017F\u0180-\u01BF\u01C4-\u024F\u2C60-\u2C7B\u2C7E\u2C7F\uA722-\uA76F\uA771-\uA787\uA78B-\uA78E\uA790-\uA7B9\uA7FA\uAB30-\uAB5A\uAB60-\uAB64\u0250-\u02AF\u1D00-\u1D25\u1D6B-\u1D77\u1D79-\u1D9A\u1E00-\u1EFFёа-яЁА-ЯәөүҗңһӘӨҮҖҢҺα-ωάέίόώήύΑ-ΩΆΈΊΌΏΉΎа-щюяіїєґА-ЩЮЯІЇЄҐѓѕјљњќѐѝЃЅЈЉЊЌЀЍ\u1200-\u137F\u0980-\u09FF\u0591-\u05F4\uFB1D-\uFB4F\u0620-\u064A\u066E-\u06D5\u06E5-\u06FF\u0750-\u077F\u08A0-\u08BD\uFB50-\uFBB1\uFBD3-\uFD3D\uFD50-\uFDC7\uFDF0-\uFDFB\uFE70-\uFEFC\U0001EE00-\U0001EEBB\u0D80-\u0DFF\u0900-\u097F\u0C80-\u0CFF\u0B80-\u0BFF\u0C00-\u0C7F\uAC00-\uD7AF\u1100-\u11FF\u3040-\u309F\u30A0-\u30FFー\u4E00-\u62FF\u6300-\u77FF\u7800-\u8CFF\u8D00-\u9FFF\u3400-\u4DBF\U00020000-\U000215FF\U00021600-\U000230FF\U00023100-\U000245FF\U00024600-\U000260FF\U00026100-\U000275FF\U00027600-\U000290FF\U00029100-\U0002A6DF\U0002A700-\U0002B73F\U0002B740-\U0002B81F\U0002B820-\U0002CEAF\U0002CEB0-\U0002EBEF\u2E80-\u2EFF\u2F00-\u2FDF\u2FF0-\u2FFF\u3000-\u303F\u31C0-\u31EF\u3200-\u32FF\u3300-\u33FF\uF900-\uFAFF\uFE30-\uFE4F\U0001F200-\U0001F2FF\U0002F800-\U0002FA1F0-9])(?:-|–|—|--|---|——|~)(?=[A-Za-z\uFF21-\uFF3A\uFF41-\uFF5A\u00C0-\u00D6\u00D8-\u00F6\u00F8-\u00FF\u0100-\u017F\u0180-\u01BF\u01C4-\u024F\u2C60-\u2C7B\u2C7E\u2C7F\uA722-\uA76F\uA771-\uA787\uA78B-\uA78E\uA790-\uA7B9\uA7FA\uAB30-\uAB5A\uAB60-\uAB64\u0250-\u02AF\u1D00-\u1D25\u1D6B-\u1D77\u1D79-\u1D9A\u1E00-\u1EFFёа-яЁА-ЯәөүҗңһӘӨҮҖҢҺα-ωάέίόώήύΑ-ΩΆΈΊΌΏΉΎа-щюяіїєґА-ЩЮЯІЇЄҐѓѕјљњќѐѝЃЅЈЉЊЌЀЍ\u1200-\u137F\u0980-\u09FF\u0591-\u05F4\uFB1D-\uFB4F\u0620-\u064A\u066E-\u06D5\u06E5-\u06FF\u0750-\u077F\u08A0-\u08BD\uFB50-\uFBB1\uFBD3-\uFD3D\uFD50-\uFDC7\uFDF0-\uFDFB\uFE70-\uFEFC\U0001EE00-\U0001EEBB\u0D80-\u0DFF\u0900-\u097F\u0C80-\u0CFF\u0B80-\u0BFF\u0C00-\u0C7F\uAC00-\uD7AF\u1100-\u11FF\u3040-\u309F\u30A0-\u30FFー\u4E00-\u62FF\u6300-\u77FF\u7800-\u8CFF\u8D00-\u9FFF\u3400-\u4DBF\U00020000-\U000215FF\U00021600-\U000230FF\U00023100-\U000245FF\U00024600-\U000260FF\U00026100-\U000275FF\U00027600-\U000290FF\U00029100-\U0002A6DF\U0002A700-\U0002B73F\U0002B740-\U0002B81F\U0002B820-\U0002CEAF\U0002CEB0-\U0002EBEF\u2E80-\u2EFF\u2F00-\u2FDF\u2FF0-\u2FFF\u3000-\u303F\u31C0-\u31EF\u3200-\u32FF\u3300-\u33FF\uF900-\uFAFF\uFE30-\uFE4F\U0001F200-\U0001F2FF\U0002F800-\U0002FA1F])|(?<=[A-Za-z\uFF21-\uFF3A\uFF41-\uFF5A\u00C0-\u00D6\u00D8-\u00F6\u00F8-\u00FF\u0100-\u017F\u0180-\u01BF\u01C4-\u024F\u2C60-\u2C7B\u2C7E\u2C7F\uA722-\uA76F\uA771-\uA787\uA78B-\uA78E\uA790-\uA7B9\uA7FA\uAB30-\uAB5A\uAB60-\uAB64\u0250-\u02AF\u1D00-\u1D25\u1D6B-\u1D77\u1D79-\u1D9A\u1E00-\u1EFFёа-яЁА-ЯәөүҗңһӘӨҮҖҢҺα-ωάέίόώήύΑ-ΩΆΈΊΌΏΉΎа-щюяіїєґА-ЩЮЯІЇЄҐѓѕјљњќѐѝЃЅЈЉЊЌЀЍ\u1200-\u137F\u0980-\u09FF\u0591-\u05F4\uFB1D-\uFB4F\u0620-\u064A\u066E-\u06D5\u06E5-\u06FF\u0750-\u077F\u08A0-\u08BD\uFB50-\uFBB1\uFBD3-\uFD3D\uFD50-\uFDC7\uFDF0-\uFDFB\uFE70-\uFEFC\U0001EE00-\U0001EEBB\u0D80-\u0DFF\u0900-\u097F\u0C80-\u0CFF\u0B80-\u0BFF\u0C00-\u0C7F\uAC00-\uD7AF\u1100-\u11FF\u3040-\u309F\u30A0-\u30FFー\u4E00-\u62FF\u6300-\u77FF\u7800-\u8CFF\u8D00-\u9FFF\u3400-\u4DBF\U00020000-\U000215FF\U00021600-\U000230FF\U00023100-\U000245FF\U00024600-\U000260FF\U00026100-\U000275FF\U00027600-\U000290FF\U00029100-\U0002A6DF\U0002A700-\U0002B73F\U0002B740-\U0002B81F\U0002B820-\U0002CEAF\U0002CEB0-\U0002EBEF\u2E80-\u2EFF\u2F00-\u2FDF\u2FF0-\u2FFF\u3000-\u303F\u31C0-\u31EF\u3200-\u32FF\u3300-\u33FF\uF900-\uFAFF\uFE30-\uFE4F\U0001F200-\U0001F2FF\U0002F800-\U0002FA1F0-9])[:<>=/](?=[A-Za-z\uFF21-\uFF3A\uFF41-\uFF5A\u00C0-\u00D6\u00D8-\u00F6\u00F8-\u00FF\u0100-\u017F\u0180-\u01BF\u01C4-\u024F\u2C60-\u2C7B\u2C7E\u2C7F\uA722-\uA76F\uA771-\uA787\uA78B-\uA78E\uA790-\uA7B9\uA7FA\uAB30-\uAB5A\uAB60-\uAB64\u0250-\u02AF\u1D00-\u1D25\u1D6B-\u1D77\u1D79-\u1D9A\u1E00-\u1EFFёа-яЁА-ЯәөүҗңһӘӨҮҖҢҺα-ωάέίόώήύΑ-ΩΆΈΊΌΏΉΎа-щюяіїєґА-ЩЮЯІЇЄҐѓѕјљњќѐѝЃЅЈЉЊЌЀЍ\u1200-\u137F\u0980-\u09FF\u0591-\u05F4\uFB1D-\uFB4F\u0620-\u064A\u066E-\u06D5\u06E5-\u06FF\u0750-\u077F\u08A0-\u08BD\uFB50-\uFBB1\uFBD3-\uFD3D\uFD50-\uFDC7\uFDF0-\uFDFB\uFE70-\uFEFC\U0001EE00-\U0001EEBB\u0D80-\u0DFF\u0900-\u097F\u0C80-\u0CFF\u0B80-\u0BFF\u0C00-\u0C7F\uAC00-\uD7AF\u1100-\u11FF\u3040-\u309F\u30A0-\u30FFー\u4E00-\u62FF\u6300-\u77FF\u7800-\u8CFF\u8D00-\u9FFF\u3400-\u4DBF\U00020000-\U000215FF\U00021600-\U000230FF\U00023100-\U000245FF\U00024600-\U000260FF\U00026100-\U000275FF\U00027600-\U000290FF\U00029100-\U0002A6DF\U0002A700-\U0002B73F\U0002B740-\U0002B81F\U0002B820-\U0002CEAF\U0002CEB0-\U0002EBEF\u2E80-\u2EFF\u2F00-\u2FDF\u2FF0-\u2FFF\u3000-\u303F\u31C0-\u31EF\u3200-\u32FF\u3300-\u33FF\uF900-\uFAFF\uFE30-\uFE4F\U0001F200-\U0001F2FF\U0002F800-\U0002FA1F])|(?<=[\u1F00-\u1FFF\u0370-\u03FF])—�token_match��url_match�
|
3 |
+
��A�
|
4 |
+
� ��A� �'��A�'�''��A�''�(*_*)��A�(*_*)�(-8��A�(-8�(-:��A�(-:�(-;��A�(-;�(-_-)��A�(-_-)�(._.)��A�(._.)�(:��A�(:�(;��A�(;�(=��A�(=�(>_<)��A�(>_<)�(^_^)��A�(^_^)�(o:��A�(o:�(¬_¬)��A�(¬_¬)�(ಠ_ಠ)��A�(ಠ_ಠ)�(╯°□°)╯︵┻━┻��A�(╯°□°)╯︵┻━┻�)-:��A�)-:�):��A�):�-_-��A�-_-�-__-��A�-__-�._.��A�._.�0.0��A�0.0�0.o��A�0.o�0_0��A�0_0�0_o��A�0_o�8)��A�8)�8-)��A�8-)�8-D��A�8-D�8D��A�8D�:'(��A�:'(�:')��A�:')�:'-(��A�:'-(�:'-)��A�:'-)�:(��A�:(�:((��A�:((�:(((��A�:(((�:()��A�:()�:)��A�:)�:))��A�:))�:)))��A�:)))�:*��A�:*�:-(��A�:-(�:-((��A�:-((�:-(((��A�:-(((�:-)��A�:-)�:-))��A�:-))�:-)))��A�:-)))�:-*��A�:-*�:-/��A�:-/�:-0��A�:-0�:-3��A�:-3�:->��A�:->�:-D��A�:-D�:-O��A�:-O�:-P��A�:-P�:-X��A�:-X�:-]��A�:-]�:-o��A�:-o�:-p��A�:-p�:-x��A�:-x�:-|��A�:-|�:-}��A�:-}�:/��A�:/�:0��A�:0�:1��A�:1�:3��A�:3�:>��A�:>�:D��A�:D�:O��A�:O�:P��A�:P�:X��A�:X�:]��A�:]�:o��A�:o�:o)��A�:o)�:p��A�:p�:x��A�:x�:|��A�:|�:}��A�:}�:’(��A�:’(�:’)��A�:’)�:’-(��A�:’-(�:’-)��A�:’-)�;)��A�;)�;-)��A�;-)�;-D��A�;-D�;D��A�;D�;_;��A�;_;�<.<��A�<.<�</3��A�</3�<3��A�<3�<33��A�<33�<333��A�<333�<space>��A�<space>�=(��A�=(�=)��A�=)�=/��A�=/�=3��A�=3�=D��A�=D�=[��A�=[�=]��A�=]�=|��A�=|�>.<��A�>.<�>.>��A�>.>�>:(��A�>:(�>:o��A�>:o�><(((*>��A�><(((*>�@_@��A�@_@�C++��A�C++�O.O��A�O.O�O.o��A�O.o�O_O��A�O_O�O_o��A�O_o�V.V��A�V.V�V_V��A�V_V�XD��A�XD�XDD��A�XDD�[-:��A�[-:�[:��A�[:�[=��A�[=�\")��A�\")�\n��A�\n�\t��A�\t�]=��A�]=�^_^��A�^_^�^__^��A�^__^�^___^��A�^___^�a.��A�a.�b.��A�b.�c.��A�c.�d.��A�d.�e.��A�e.�f.��A�f.�g.��A�g.�h.��A�h.�i.��A�i.�j.��A�j.�k.��A�k.�l.��A�l.�m.��A�m.�n.��A�n.�o.��A�o.�o.0��A�o.0�o.O��A�o.O�o.o��A�o.o�o_0��A�o_0�o_O��A�o_O�o_o��A�o_o�p.��A�p.�q.��A�q.�r.��A�r.�s.��A�s.�t.��A�t.�u.��A�u.�v.��A�v.�v.v��A�v.v�v_v��A�v_v�w.��A�w.�x.��A�x.�xD��A�xD�xDD��A�xDD�y.��A�y.�z.��A�z.� ��A� C� �¯\(ツ)/¯��A�¯\(ツ)/¯�°C.��A�°�A�C�A�.�°F.��A�°�A�F�A�.�°K.��A�°�A�K�A�.�°c.��A�°�A�c�A�.�°f.��A�°�A�f�A�.�°k.��A�°�A�k�A�.�ä.��A�ä.�ö.��A�ö.�ü.��A�ü.�Δ'��A�Δ'C�δέ�Δι'��A�Δι'C�διά�Δι’��A�Δι’C�διά�Δ’��A�Δ’C�δέ�Εφ'��A�Εφ'C�επί�Εφ’��A�Εφ’C�επί�Καθ'��A�Καθ'C�κατά�Καθ’��A�Καθ’C�κατά�Κατ'��A�Κατ'C�κατά�Κατ’��A�Κατ’C�κατά�Μ'��A�Μ'C�με�Μετ'��A�Μετ'C�μετά�Μετ’��A�Μετ’C�μετά�Μ’��A�Μ’C�με�Παρ'��A�Παρ'C�παρά�Παρ’��A�Παρ’C�παρά�Σ'��A�Σ'C�σε�Σ’��A�Σ’C�σε�Τ'��A�Τ'C�τε�Τ’��A�Τ’C�τε�αὑτός��A�αὑC�ὁ�A�τόςC�αὐτός�αὑτὸς��A�αὑC�ὁ�A�τὸςC�αὐτός�δ'��A�δ'C�δέ�δι'��A�δι'C�διά�διὰ��A�διὰC�διά�δι’��A�δι’C�διά�δὲ��A�δὲC�δέ�δ’��A�δ’C�δέ�εφ'��A�εφ'C�επί�εφ’��A�εφ’C�επί�θοἰμάτιον��A�θοC�τό�A�ἰμάτιον�θἡμέρᾳ��A�θC�τῇ�A�ἡμέρᾳ�καθ'��A�καθ'C�κατά�καθ’��A�καθ’C�κατά�κατ'��A�κατ'C�κατά�κατὰ��A�κατὰC�κατά�κατ’��A�κατ’C�κατά�καὐτός��A�κC�καί�A�αὐτός�καὐτὸς��A�κC�καί�A�αὐτὸςC�αὐτός�καὶ��A�καὶC�καί�κεἰ��A�κC�καί�A�εἰ�κεἰς��A�κC�καί�A�εἰς�κοὐ��A�κC�καί�A�οὐ�κἀγώ��A�κἀC�καί�A�γώC�ἐγώ�κἀγὼ��A�κἀC�καί�A�γὼC�ἐγώ�κἀν��A�κC�καί�A�ἀνC�ἐν�κἀς��A�κC�καί�A�ἀςC�ἐς�κᾆτα��A�κC�καί�A�ᾆταC�εἶτα�μ'��A�μ'C�με�μέ��A�μέC�με�μεθ'��A�μεθ'C�μετά�μεθ’��A�μεθ’C�μετά�μετ'��A�μετ'C�μετά�μετὰ��A�μετὰC�μετά�μετ’��A�μετ’C�μετά�μοὔστι��A�μοὔC�μοί�A�στιC�ἐστι�μοὖστι��A�μοὖC�μοί�A�στιC�ἐστι�μὲ��A�μὲC�με�μὲν��A�μὲνC�μέν�μὴν��A�μὴνC�μήν�μ’��A�μ’C�με�οὑμοί��A�οὑC�οἱ�A�μοίC�ἐμoί�οὑμοὶ��A�οὑC�οἱ�A�μοὶC�ἐμoί�οὑμός��A�οὑC�ὁ�A�μόςC�ἐμός�οὑμὸς��A�οὑC�ὁ�A�μὸςC�ἐμός�οὑν��A�οὑC�ὁ�A�νC�ἐν�παρ��A�παρC�παρά�παρ'��A�παρ'C�παρά�παρὰ��A�παρὰC�παρά�παρ’��A�παρ’C�παρά�προὔχοντα��A�προὔC�πρό�A�χονταC�ἔχοντα�προὔχων��A�προὔC�πρό�A�χωνC�ἔχων�σ'��A�σ'C�σε�σέ��A�σέC�σε�σοὐστί��A�σοὐC�σοί�A�στίC�ἐστί�σοὐστὶ��A�σοὐC�σοί�A�στὶC�ἐστί�σοὔστι��A�σοὔC�σοί�A�στιC�ἐστι�σὲ��A�σὲC�σε�σ’��A�σ’C�σε�τ'��A�τ'C�τε�τέ��A�τέC�τε�ταὐτοῦ��A�τC�τοῦ�A�αὐτοῦ�τοὔνομα��A�τοὔC�τό�A�νομαC�ὄνομα�τἀνδρί��A�τC�τῷ�A�ἀνδρί�τἀνδρός��A�τC�τοῦ�A�ἀνδρός�τἀνδρὶ��A�τC�τῷ�A�ἀνδρὶC�ἀνδρί�τἀνδρὸς��A�τC�τοῦ�A�ἀνδρὸςC�ἀνδρός�τἄλλα��A�τC�τὰ�A�ἄλλα�τἆλλα��A�τἆC�τὰ�A�λλαC�ἄλλα�τὠληθές��A�τὠC�τὸ�A�ληθέςC�ἀληθές�τὲ��A�τὲC�τε�τὴν��A�τὴνC�τήν�τὸν��A�τὸνC�τόν�τ’��A�τ’C�τε�χοἱ��A���C�καί�A�οἱ�χἡ��A�χC�καί�A�ἡ�χἱκετεύετε��A�χC�καί�A�ἱκετεύετε�χὤπως��A�χC�καί�A�ὤπωςC�ὅπως�χὤταν��A�χC�καί�A�ὤτανC�ὅταν�χὤτε��A�χC�καί�A�ὤτεC�ὅτε�χὤτι��A�χC�καί�A�ὤτιC�ὅτι�ಠ_ಠ��A�ಠ_ಠ�ಠ︵ಠ��A�ಠ︵ಠ�ἀλλ'��A�ἀλλ'C�ἀλλά�ἀλλὰ��A�ἀλλὰC�ἀλλά�ἀλλ’��A�ἀλλ’C�ἀλλά�ἀπὸ��A�ἀπὸC�από�ἀφ'��A�ἀφ'C�από�ἀφ’��A�ἀφ’C�από�ἁγαθαί��A�ἁC�αἱ�A�γαθαίC�ἀγαθαί�ἁγαθαὶ��A�ἁC�αἱ�A�γαθαὶC�ἀγαθαί�ἁγώ��A�ἁC�ἃ�A�γώC�ἐγώ�ἁγὼ��A�ἁC�ἃ�A�γὼC�ἐγώ�ἁλήθεια��A�ἁC�ἡ�A�λήθειαC�ἀλήθεια�ἁνήρ��A�ἁC�ὁ�A�νήρC�ἀνήρ�ἁνὴρ��A�ἁC�ὁ�A�νὴρC�ἀνήρ�ἅνδρες��A�ἅC�οἱ�A�νδρεςC�ἄνδρες�ἅνθρωπος��A�ἅC�ὁ�A�νθρωποςC�ἄνθρωπος�ἐγᾦδα��A�ἐγC�ἐγώ�A�ᾦδαC�οἶδα�ἐγᾦμαι��A�ἐγC�ἐγώ�A�ᾦμαιC�οἶμαι�ἐπ'��A�ἐπ'C�επί�ἐπὶ��A�ἐπὶC�επί�ἐπ’��A�ἐπ’C�επί�Ἐπ'��A�Ἐπ'C�επί�Ἐπ’��A�Ἐπ’C�επί�ὑπ'��A�ὑπ'C�ὑπό�ὑπ’��A�ὑπ’C�ὑπό�ὑφ'��A�ὑφ'C�ὑπό�ὑφ’��A�ὑφ’C�ὑπό�Ὑπ'��A�Ὑπ'C�ὑπό�Ὑπ’��A�Ὑπ’C�ὑπό�ὥνεκα��A�ὥC�οὗ�A�νεκαC�ἕνεκα�ὦνδρες��A�ὦC�ὦ�A�νδρεςC�ἄνδρες�ὦνερ��A�ὦC�ὦ�A�νερC�ἄνερ�᾽ΑΠ'��A�᾽ΑΠ'C�από�᾽ΑΠ’��A�᾽ΑΠ’C�από�᾽Αλλ'��A�᾽Αλλ'C�ἀλλά�᾽Αλλ’��A�᾽Αλλ’C�ἀλλά�᾽Απ'��A�᾽Απ'C�από�᾽Απ’��A�᾽Απ’C�από�᾽Αφ��A�᾽ΑφC�από�—��A�—�’��A�’�’’��A�’’�faster_heuristics�
|
transformer/cfg
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"max_batch_items":4096
|
3 |
+
}
|
transformer/model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d09bcbc4140f5f76544ed534e43a129ec40dd03c74d16a56e1d8b4e598f970ec
|
3 |
+
size 453378326
|
vocab/key2row
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
�
|
vocab/lookups.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:76be8b528d0075f7aae98d6fa57a6d3c83ae480a8469e668d7b0af968995ac71
|
3 |
+
size 1
|
vocab/strings.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
vocab/vectors
ADDED
Binary file (128 Bytes). View file
|
|
vocab/vectors.cfg
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"mode":"default"
|
3 |
+
}
|