semvec/pypi-packages huggingface dataset:
faker-crypto 1.0.1
faker-crypto is a Faker provider for cryto addreses.
License: MIT
Requires Python: >=3.9
Keywords: cryptocurrency, faker, generator, mock, test

# faker-crypto

[![CI](https://github.com/karambir/faker-crypto/actions/workflows/ci.yml/badge.svg)](https://github.com/karambir/faker-crypto/actions/workflows/ci.yml)
[![PyPI Version](https://img.shields.io/pypi/v/faker-crypto.svg)](https://pypi.org/project/faker-crypto/)
[![Python Versions](https://img.shields.io/pypi/pyversions/faker-crypto.svg)](https://pypi.org/project/faker-crypto/)

faker-crypto is a Faker provider for Cryto Addreses.

Following crypto addresses are supported:

- Bitcoin
- Bitcoin Cash
- Litecoin
- Dogecoin
- Ethereum
- Polygon
- Binance Smart Chain
- Cronos
- Optimism
- Arbitrum
- Avalanche C-Chain
- Ripple
- Tron
- Polkadot
- Stellar
- Solana
- Zilliqa
- Cardano
- Hedera

## Installation

Install with pip:

```bash
pip install faker-crypto
```

## Usage

Add `CryptoAddress` provider to Faker instance:

```python
from faker import Faker
from faker_crypto import CryptoAddress

fake = Faker()
fake.add_provider(CryptoAddress)

fake.bitcoin_address()
# '13XTsE8TKEHW5zAmCWmBvNk5KvEcEjVQu'
fake.litecoin_address()
# 'LM3HgLcPemiBb5MJ3vqRRPrPqBdtf7pL'
fake.ethereum_address()
# '0x7ea8abae70ce7e9ce09155ee9169d5f18fc96b'
fake.ripple_address()
# 'rHb9CJAWyB4rj91VRWn96DkukG4bwdtyTh'
fake.tron_address()
# 'TNPeeaaFB7K9cmo4uQpcU32zGK8G1NYqeL'
fake.stellar_address()
# 'GC7OHFPWPSWXL4HMN6TXAG54MTZSMJIASWHO6KVRQNHNCXEAHWDSGGC3'
fake.solana_address()
# '7EcDhSYGxXyscszYEp35KHN8vvw3svAuLKTzXwCFLtV'
fake.zilliqa_address()
# 'zil102n74869xnvdwq3yh8p0k9jjgtejruft268tg8'
fake.polygon_address()
# '0x32f065b1fe349fcaa29bfdfa5e6aae25a53203'
```

## Development

This project uses [uv](https://github.com/astral-sh/uv) for dependency management.

### Setup Development Environment

```bash
# Install project in development mode with all dependencies
uv sync --frozen --dev

# Or use just command
just install
```

### Testing

Run unit tests with code coverage with:

```bash
uv run pytest --cov -v

# Or use just command
just test
```

### Formatting and Linting

```bash
# Format code
just format

# Run linters
just lint
```
phise 0.1.1
Package for tunable kernel nulling / interferometry utilities (phise)
License: MIT
Requires Python: >=3.11.0

## PHISE — PHotonic Interferometric Simulation for Exoplanets

PHISE is a Python package for simulation and analysis of interferometric instruments using layered photonic chips. It provides high-level classes (telescopes, interferometer, kernel nuller, camera, target scene) and numerical modules (propagation, coordinates, MMI recombiners, test statistics) to build scenarios, simulate the instrument chain, and visualize responses (transmission maps, projected baselines, null/dark/bright outputs, etc.).

The repository also ships demo notebooks and a complete documentation

> **Note**
> PHISE is currently under active development and is still a part of a PhD research project. The API and functionalities may change at any time.

## Requirements and installation

- Python 3.11 or upper.
- Main dependencies: numpy, astropy, scipy, matplotlib, numba, ipywidgets, sympy, LRFutils, etc. (handled automatically).

Two installation paths:

1) Conda environment (recommended)

```powershell
conda env create -f environment.yml
conda activate phise
```

2) pip editable install (dev mode)

```powershell
pip install -e .
```

## Documentation

A complete documentation is available at https://phise.readthedocs.io/

## Design notes

- Physical quantities are handled with `astropy.units` and validated in property setters to ensure unit consistency.
- Heavy computations rely on `numpy` and `numba` where appropriate.
- High-level methods (`Context`) automatically propagate parameter changes (e.g., recompute projected positions and photon flux).

## Credits

- Lead author: Vincent Foriel.
- If you use PHISE in scientific work, please cite the repository and/or your related publications.

## Questions, bugs, contributions

Issues and contributions are welcome. Feel free to propose improvements (docs, tests, examples, new utilities in `modules/`, etc.) by opening an issue or a pull request.