semvec/pypi-packages huggingface dataset:
customgpt-client 1.2.8
A client library for accessing customgpt
Requires Python: <4.0,>=3.8

# CustomGPT SDK

## Usage
First, create a client:

```python
from customgpt_client import CustomGPT

CustomGPT.api_key="SuperSecretToken"
```

Now you can access to all of our Models:
Example Request will be like this:

Creating a Project synchronously:

```python
response = CustomGPT.Project.create(project_name='Test', sitemap_path='https://example.com/test.xml', file_data_retension=False, file=file)
project_id = response.data.id
```

Or do the same thing with an async version:

```python
response = await CustomGPT.Project.acreate(project_name='Test', sitemap_path='https://example.com/test.xml', file_data_retension=False, file=file)
project_id = response.data.id
```
nxt-core 0.18.1
A general purpose code compositor designed for rigging, scene assembly, and automation. (node execution tree)
Requires Python: <3.12,>=3.7

<div align="center">

![Release Status](https://github.com/nxt-dev/nxt/actions/workflows/release.yml/badge.svg?branch=release)
![Dev Status](https://github.com/nxt-dev/nxt/actions/workflows/unittests.yml/badge.svg?branch=dev)
# NXT Python Core

</div>


**nxt** (**/ɛn·ɛks·ti/**) is a general purpose code compositor designed for rigging, scene assembly, and automation. (node execution tree)  
[Installation/Usage](#installationusage) | [Docs](https://nxt-dev.github.io/) | [Contributing](CONTRIBUTING.md) | [Licensing](LICENSE)

# Installation/Usage

**This repo is the nxt core, it does not come with a UI. If you're looking for the UI, please see [the nxt editor](https://github.com/nxt-dev/nxt_editor).**
This package is designed for headless execution of graphs in a render farm or other headless environment.  
Only clone this repo if you're contributing to the NXT codebase.

<br>

#### Requirements

- Python >= [2.7.*](https://www.python.org/download/releases/2.7) <= [3.7.*](https://www.python.org/download/releases/3.7)
- We strongly recommend using a Python [virtual environment](https://docs.python.org/3.7/tutorial/venv.html)

*[Requirements for contributors](CONTRIBUTING.md#python-environment)*  

### NXT Python Core

Our releases are hosted on [PyPi](https://pypi.org/project/nxt-editor/).

**Install:**  
`pip install nxt-core`

**Execute Graph:**  

```python
import nxt
nxt.execute_graph('path/to/graph.nxt')
```

**Update:**  
`pip install -U nxt-core`

<br>

## Special Thanks

[Sunrise Productions](https://sunriseproductions.tv/) | [School of Visual Art and Design](https://www.southern.edu/visualartanddesign/)
himpunan-team5 1.0.0
Library Python untuk implementasi teori himpunan
Requires Python: >=3.6

# Implementasi Himpunan Matematika Diskrit

Proyek ini bertujuan untuk mengimplementasikan konsep dasar himpunan dalam bahasa pemrograman Python, dengan dukungan berbagai operasi dan fungsi himpunan yang biasa digunakan dalam matematika diskrit.

## **Magic Methods**

1. `__len__(self)`  
   Mengembalikan jumlah elemen dalam himpunan (ukuran himpunan).

2. `__contains__(self, item)`  
   Mengembalikan `True` jika suatu elemen ada dalam himpunan, dan `False` jika tidak ada.

3. `__eq__(self, other)`  
   Mengecek apakah dua himpunan sama. Return boolean.

4. `__le__(self, other)`  
   Mengecek apakah suatu himpunan merupakan subset dari himpunan lain. Return boolean.

5. `__lt__(self, other)`  
   Mengecek apakah suatu himpunan merupakan proper subset dari himpunan lain. Return boolean.

6. `__ge__(self, other)`  
   Mengecek apakah suatu himpunan merupakan superset dari himpunan lain. Return boolean.

7. `__floordiv__(self, other)`  
   Mengecek apakah dua himpunan ekuivalen (memiliki elemen yang sama, meskipun urutannya berbeda). Return boolean.

## **Operasi Himpunan**

1. **Irisan (Intersect)**  
   Menggunakan operator `/` untuk menghitung irisan antara dua himpunan.

2. **Gabungan (Union)**  
   Menggunakan operator `+` untuk menghitung gabungan antara dua himpunan.

3. **Selisih (Difference)**  
   Menggunakan operator `-` untuk menghitung selisih antara dua himpunan.

4. **Komplemen (Complement)**  
   Menggunakan method `complement()` untuk menghitung komplemen dari suatu himpunan dengan input himpunan semesta.

5. **Selisih Simetris (Symmetric Difference)**  
   Menggunakan operator `*` untuk menghitung selisih simetris antara dua himpunan.

6. **Hasil Kali Cartesian (Cartesian Product)**  
   Menggunakan operator `**` untuk menghitung hasil kali kartesian dari dua himpunan.

7. **Himpunan Kuasa (Power Set)**  
   Menggunakan `abs()` untuk menghitung himpunan kuasa (semua subset dari himpunan).

8. **Anggota Himpunan Kuasa**  
   Menggunakan method `PowerSet()` untuk menampilkan daftar himpunan kuasa yang mungkin dibuat dari suatu himpunan.

## **Library "himpunan-team5"**

Untuk menggunakan package **himpunan-team5**, lakukan instalasi dengan menggunakan perintah berikut:

```bash
pip install himpunan-team5
```

Lalu lakukan import package ke dalam file Python Anda:

```python
from himpunan_team5 import *
```

## **Link PyPI**

Anda dapat menemukan library ini di PyPI: [himpunan-team5](https://pypi.org/project/himpunan-team5/)

## **Credit**

Library ini dikembangkan oleh **Team 5 IMT UCM 2023**:

- Deny Wahyudi Asaloei
- Levin Dawson Wisan
- Muhammad Aditya Ridwan
earthcube-utilities 0.1.28
A package of utilities for NSF Earthcube Geocodes Project

# Earthcube Utilities


## Users

### Earthcube Utilities:
https://pypi.org/project/earthcube-utilities/


### scripts
When installed via pip:

* [Reporting](https://earthcube.github.io/earthcube_utilities/earthcube_utilities/reporting/)
* [Summarize a namespace](https://earthcube.github.io/earthcube_utilities/earthcube_utilities/summarize/)


### Manual Install
`python3 -m pip install  earthcube-utilities`



## Developers

from [console scripts](https://setuptools.pypa.io/en/latest/userguide/entry_point.html#console-scripts)

### local development mode
```shell
cd earthcube_utiltiies
pip3 install -e .
```
## Developement

create a virutal env and activate

`source {envname}/bin/activate`


use editable install

```shell
cd earthcube_utiltiies
pip3 install -e .
```

If you edit the pyproject.toml and want to test an added script, 
```shell
cd summarize
pip3 uninstall -e earthcube_utiltiies
pip3 install -e .
```

## building a test package

### test packaging
Locally,  see if a package builds
`python3 -m pip install build`

in _build/lib_ you can see what files are included in package

### build a wheel
to see what is added to a package, 

`python -m build --wheel`

_dist_ directory will contain the package. This is actually a zip file so unzip to see 
what got included

## Planning:
The planned functionality will be found in the docs folder,
[Earthcube Utilities Functionality](./docs/earthcube_utilties_functionality.md)