semvec/pypi-packages huggingface dataset:
stoneprofits 0.1.8
SDK for Stone Profit Systems (SPS) ERP
License: MIT
Requires Python: >=3.6,<4.0
Keywords: stoneprofits,sps,erp

![GitHub stars](https://img.shields.io/github/stars/dhruvkar/stoneprofits?style=social)


# An SDK for Stone Profit Systems (SPS) 

## Introduction
SPS is an ERP for the natural stone industry. It doesn't have an API, which is why this library exists.


## Installation


## Usage


## Code of Conduct


## History (roughly following keep a changelog)
pydantic-annotated 0.0.1a0
Generate Pydantic Fields with typing.Annotated
License: MIT
Requires Python: >=3.9,<4.0
Keywords: Annotated,pydantic,typing

# pydantic-annotated

Proof of concept [Decomposing Field components into Annotated](https://github.com/samuelcolvin/pydantic/issues/2129).

```python
from typing import Annotated

from pydantic_annotated import BaseModel, Description, FieldAnnotationModel


class PII(FieldAnnotationModel):
    status: bool


class ComplexAnnotation(FieldAnnotationModel):
    x: int
    y: int


class Patient(BaseModel):
    name: str
    condition: Annotated[
        str,
        ComplexAnnotation(x=1, y=2),
        Description("Patient condition"),
        PII(status=True),
    ]
```
xac 0.3.0
Client for Xaipient Explainability REST API
License: MIT
Requires Python: >=3.6.1,<4.0.0

<p align="center">
<a href="https://apiclient.xaipient.com"><img src="./images/logo.png" height="200" alt="xac"></a>
</p>
<p align="center">
    <em>Powering your AI with human friendly explanations</em>
</p>

## Xaipient API Client (xac)
----
**Status: Alpha, Version: 0.3.0**

**Documentation**: <a href="https://xaipient.github.io/xaipient-docs/" target="_blank">https://xaipient.github.io/xaipient-docs/</a>

---

## Requirements

Python 3.6+

## Installation

```console
$ pip install xac
```



## Python API

```python
from xac import Explainer

Explainer.login('user@domain.com')

with Explainer() as german_explainer:
    german_explainer.from_config('tests/sample/configs/german-keras.yaml')
    global_imps =  german_explainer.get_global_importances()
    global_aligns =  german_explainer.get_global_alignments()
    global_rules = german_explainer.get_global_rules()
    local_attrs = german_explainer.get_local_attributions(feature_row=4)
    local_rules =  german_explainer.get_global_rules(feature_row=4)
    counterfactuals = german_explainer.get_counterfactuals(feature_row=4)
print(global_imps)
print(global_aligns)
print(global_rules)
print(local_attrs)
print(local_rules)
print(counterfactuals)
```

See Documentation for more details

## Commandline interface

```console
$ xac login --email user@domain.com
$ xac session init -f german-keras.yaml -n german_credit
$ xac job submit -s <SESSION_ID> -e local_attributions -e global_importances --start 4 --end 5
$ xac job output <JOB_ID> -o /tmp/explns.json
```

```
Commands:
  config    Generate Xaipient YAML config files for customization
  info      Display key information about API
  job       Manage and Generate Explanations with Xaipient API
  jobs      List explanation jobs.
  login     Login with email and password.
  logout    Logout and purge any tokens.
  session   Manage and Create Sessions for Explanations
  sessions  List all created sessions.
  version   Display current version of client and API.
```

See Documentation for more details