semvec/pypi-packages huggingface dataset:
paddlejsconverter 1.0.8
Paddlejs model converter
Requires Python: >=3.6

# PaddleJsConverter

## Installation

System Requirements:

* paddlepaddle >= 2.0.0
* paddlejslite >= 0.0.2
* Python3： 3.5.1+ / 3.6 / 3.7
* Python2： 2.7.15+

#### Install PaddleJsConverter

<img src="https://img.shields.io/pypi/v/paddlejsconverter" alt="version">

```shell
pip install paddlejsconverter

# or
pip3 install paddlejsconverter
```


## Usage

```shell
paddlejsconverter --modelPath=user_model_path --paramPath=user_model_params_path --outputDir=model_saved_path --useGPUOpt=True
```
注意：useGPUOpt 选项默认不开启，如果模型用在 gpu backend（webgl/webgpu），则开启 useGPUOpt，如果模型运行在（wasm/plain js）则不要开启。
mc-discrete-kit 0.0.30
Map colonies discrete-kit for geo data usage
Requires Python: >=3.6

[![Python 3.6](https://img.shields.io/badge/python-3.6-green.svg)](https://www.python.org/downloads/release/python-360/)
<img alt="GitHub release (The latest by date including pre-releases)" src="https://img.shields.io/github/v/release/MapColonies/automation-discrete-kit">
# Automation-discrete-kit

## Description
This package provides multiple utilities for discrete manipulations , validation tools and functions.

### required files:
- `Shapes folder`

### Features included:
1. ShapeToJSON - creates JSON from read files to be compared later on.
2. Change resource name in shape file - metadata.
3. Change discrete resolution
4. JSONs validation
5. Config - contains file extensions , and useful function for the JSON creation.
6. Write JSON to file for validation.
7. Validation of the JSON schema.
8. Types Validations
9. Updating tfw resolution value - TBD

### Return options:
 - JSON - contains relevant fields filled with values.
 - JSON File.

### Usage:
1. import the package : `automation-discrete-kit`.
2. create `ShapeToJSON` contains the path for shape folder.
3. Use any function of the class `ShapeToJSON`
iris-webhooks-module 1.0.1
An interface module for webhooks support in DFIR-IRIS

# IrisWebHooksModule

An interface module that allows to call webhooks from IRIS.   
**Module type** : ``Processor``  
**Min IRIS version required** : ``> 1.4.0`` 

The module is not yet provided with IRIS. It can however be installed manually - please see the Installation section of this readme.

## Configuration 
Please refer to the [IRIS documentation](https://dfir-iris.github.io/operations/modules/natives/IrisWebHooks/). 

## Installation 
The module can be installed manually by running the following command:

1. Get an interactive shell on the docker : ``docker exec -it <iris_web_app> /bin/bash``
2. Install the new package ``pip3 install iris_webhooks_module``
constraintula 0.3.1
Define system of constraint equations for initializing data classes

# constraintula

```python
import attrs
import constraintula
import numpy as np

PI = np.pi

area, radius = constraintula.symbols('area radius')


@constraintula.constrain([area - PI * radius**2])
@attrs.define(frozen=True)  # or `@attrs.frozen`
class Circle:
    radius: float
    area: float

circle_from_radius = Circle(radius=2)
circle_from_area = Circle(area=42)
```

## Installation

### User
```
pip install constraintula
```

### Developer
```
pip install -e .[dev]
```

## Disclaimer

This is not an officially supported Google product.
disentpy 0.0.24
Disent API caller

# disentpy

Python client for Disent's API framework.

## Installation

Install using `pip`

```shell
pip install disentpy
```

## Usage

```python
import disent

# get AAPL vol surface (list of dicts)
model="DEMO_EQD_VOLS"
ticker = 'AAPL'
model_args = {'ticker':ticker}
df = disent.hub(model,model_args)
print(df)

# get AAPL vol surface (pivoted on K)
model_args = {'ticker':ticker,'pivot':'T_DATE,K,IV'}
df = disent.hub(model,model_args)

print(df)

# lambdify disent call for any ticker

f_vols = lambda i: disent.hub(model,{'ticker':i})
print(f_vols('SPX'))
print(f_vols('RTY'))

```

## Documentation

Latest documentation is hosted on [read the docs](https://disentpy.readthedocs.io/en/latest/).

### Requirements

Using disentpy requires the following packages:

- pandas>=1.0
- requests>=2.19.0

### Install latest development version

```shell
pip install git+http://github.com/disentcorp/disent_pip.git
```

or

```shell
git clone pip install https://github.com/disentcorp/disent_pip.git
cd disentpy
python setup.py install
```