semvec/pypi-packages huggingface dataset:
QIDLearningLib-sanchosimoes 0.0.2
A Python library that provides various metrics that may be used in the quasi-identification recognition process. These metrics measure data privacy, data utility, performance of the QID recognition and others.
Requires Python: >=3.8

# QIDLearningLib
A Python library that provides various metrics that may be used in the quasi-identification recognition process. These metrics measure data privacy, data utility, performance of the QID recognition and others.
vmware-fusion-py 1.0.0b1
A Python library for interacting with the VMWare Fusion CLI
Keywords: vmware, fusion, interface, python, vmware fusion, MacOS, library, virtualization

![PyPI - Version](https://img.shields.io/pypi/v/vmware-fusion-py)
![GitHub License](https://img.shields.io/github/license/ahmetmutlugun/vmware-fusion-py)

# vmware-fusion-py

This Python module provides a convenient way to control and interact with VMware Fusion virtual machines using the `vmrun` command-line utility. Built and tested for VMware Fusion on arm64 MacOS

## Features

- Full coverage of the `vmrun` CLI
  - Start, stop, reset, suspend, pause, and unpause virtual machines
  - Manage snapshots (create, delete, list, and revert)
  - Manage network adapters (list, add, set, and delete)
  - Manage port forwarding for host networks
  - Run programs and scripts in the guest operating system
  - Manage files and directories in the guest operating system
  - Manage shared folders between the host and guest
  - Interact with the guest operating system (type keystrokes, capture screenshots, etc.)
  - Clone virtual machines
  - Upgrade virtual machines and install VMware Tools

## Prerequisites

- Python 3.x
- VMware Fusion on MacOS
- `vmrun` command-line utility (included with VMware Fusion)

## Installation
### Pip
`pip install vmware-fusion-py`
### From Source
1. Clone the repository or download the source code.
2. Install the package using `pip install .`
## Usage
### Initialization
```python
# Get vmrun path or provide the path as a string
vmrun_path = shutil.which("vmrun")
if not vmrun_path:
    # vmrun is installed automatically alongside VMware Fusion. Install VMware
    exit()
# Initiate client
client = VMware(vmrun_path=vmrun_path)
```
### Presets
```python
client = VMware(
    vmrun_path="/path/to/vmrun",
    host_type="ws",
    vm_password="password",
    guest_user="username",
    guest_password="password",
    vm_path="/path/to/vm"
)
```
## License
This project is licensed under the MIT License.

## Contributors
- Ahmet Mutlugun [Github](https://github.com/ahmetmutlugun)
prettify-json 0.1.1
make pretty json
Requires Python: >=3.6

prettify-json
===========

make pretty json.

Documentation: https://github.com/VeritasXu/prettify-json


Installation
------------

```
pip install prettify-json
```


Usage
-----

```python
import json
import prettify_json as pj


# raw contents for json
boxes = [[1, 2, 3, 4],
         [2, 3, 1, 4]]

sample = {'id': 1}

# wrap data that want to indent = 0
sample['boxes'] = pj.NoIndent(boxes)

# dumps
json_data = pj.dumps(sample, indent=2)
print(json_data)

# write json
pj.write_json(sample, './tmp.json', indent=2)

# compare with raw
sample['boxes'] = boxes
raw_json = json.dumps(sample, indent=2)
print(raw_json)
```

   

**See default sample**

```python
from prettify_json import sample
raw, new = sample()

print('+++++++++ old +++++++++')
print(raw)

print('+++++++++ pretty +++++++++')
print(new)
```

**With Prettify**

![](./exp1.png)



**Without Prettify**

![](./exp2.png)


Authors
-------

See contributors section on GitHub.