semvec/pypi-packages huggingface dataset:
en-core-web-sm-vbspacy 3.8.0
Spacy model uploaded to PyPi. All credits go to the original devs.
License: MIT

Spacy model uploaded to PyPi. All credits go to the original devs.

English pipeline optimized for CPU.

**Components**:
- tok2vec
- tagger
- parser
- senter
- ner
- attribute_ruler
- lemmatizer.

| Feature | Description |
| --- | --- |
| **Name** | `en_core_web_sm_vbspacy` |
| **Version** | `3.8.0` |
| **spaCy** | `>=3.7.5,<3.9.0` |
| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
| **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [OntoNotes 5](https://catalog.ldc.upenn.edu/LDC2013T19) (Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston)<br>[ClearNLP Constituent-to-Dependency Conversion](https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md) (Emory University)<br>[WordNet 3.0](https://wordnet.princeton.edu/) (Princeton University) |
| **License** | `MIT` |
| **Author** | [Explosion](https://explosion.ai) |

### Label Scheme

<details>

<summary>View label scheme (113 labels for 3 components)</summary>

| Component | Labels |
| --- | --- |
| **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, `_SP`, ```` |
| **`parser`** | `ROOT`, `acl`, `acomp`, `advcl`, `advmod`, `agent`, `amod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `csubj`, `csubjpass`, `dative`, `dep`, `det`, `dobj`, `expl`, `intj`, `mark`, `meta`, `neg`, `nmod`, `npadvmod`, `nsubj`, `nsubjpass`, `nummod`, `oprd`, `parataxis`, `pcomp`, `pobj`, `poss`, `preconj`, `predet`, `prep`, `prt`, `punct`, `quantmod`, `relcl`, `xcomp` |
| **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `TOKEN_ACC` | 99.86 |
| `TOKEN_P` | 99.57 |
| `TOKEN_R` | 99.58 |
| `TOKEN_F` | 99.57 |
| `TAG_ACC` | 97.29 |
| `SENTS_P` | 92.01 |
| `SENTS_R` | 89.39 |
| `SENTS_F` | 90.68 |
| `DEP_UAS` | 91.77 |
| `DEP_LAS` | 89.92 |
| `ENTS_P` | 84.30 |
| `ENTS_R` | 84.36 |
| `ENTS_F` | 84.33 |
trustedtwin 3.18.20241001204517
Trusted Twin Python client
License: MIT
Requires Python: >=3.9

TrustedTwin Python Client (external info)
===

The Trusted Twin Python library makes it easy to use the Trusted Twin user infrastructure API in Python applications. 
The library version is consistent with the Swagger version of the Trusted Twin API.

Client offers synchronous and asynchronous versions which can be used for communication with TT API.

Requirements
---
Library requires Python3.6+.

Installation
--

For synchronous API client:
```shell
pip install trustedtwin
```

To use asynchronous client:
```shell
pip install trustedtwin[async]
```

By default, additional packages required by `asynchronous` version are not installed. 

Usage
---

### Authorization

For synchronous client:
```python
from trustedtwin.tt_api import TTRESTService

TT_SERVICE = TTRESTService(auth=$USER_SECRET)
```

For asynchronous client:
```python
from trustedtwin.tt_api_async import TTAsyncRESTService

TT_SERVICE = TTAsyncRESTService(auth=$USER_SECRET)
```

### Example calls

For synchronous client:
```python
import json 
from trustedtwin.tt_api import TTRESTService

status, response = TTRESTService().create_user_secret($ACCOUNT_UUID, $PIN)
resp = json.loads(response)

TT_SERVICE = TTRESTService(tt_auth=resp['secret'])

_body = {
    'description': {
        'custom_name': 'custom_value'
    }
}

status, response = TT_SERVICE.create_twin(body=_body)
resp = json.loads(response)
```

For asynchronous client:
```python
import json 
from trustedtwin.tt_api_async import TTAsyncRESTService

status, response = await TTAsyncRESTService().create_user_secret($ACCOUNT_UUID, $PIN)
resp = json.loads(response)

TT_SERVICE = TTAsyncRESTService(tt_auth=resp['secret'])

_body = {
    'description': {
        'custom_name': 'custom_value'
    }
}

status, response = await TT_SERVICE.create_twin(body=_body)
resp = json.loads(response)
```

For more information please navigate to the official [documentation](https://trustedtwin.com/docs/libraries/library-python.html).

TrustedTwin Python Client (internal info)
===

Updating the library
---

To update the Python library to the newest version:

1. Upload a tt_api.yaml file corresponding with the respective API version.
2. In the Gitlab interface in the left-hand side pane, select *Build* and go to the *Pipeline schedules* section.
3. By the *Deploy to official pyPi repository* schedule, click on the *Run pipeline schedule* button.