semvec/pypi-packages huggingface dataset:
jito_searcher_client 0.1.4
Jito Labs Python Searcher Client
Requires Python: <4.0,>=3.10

# About
This library contains tooling to interact with Jito Lab's Block Engine as a searcher.

# Downloading
```bash
$ pip install jito_searcher_client
```

# Keypair Authentication
Please request access to the block engine by creating a solana keypair and emailing the public key to support@jito.wtf.

# Examples

## Sync Client

```python
from jito_searcher_client import get_searcher_client
from jito_searcher_client.generated.searcher_pb2 import ConnectedLeadersRequest

from solders.keypair import Keypair

KEYPAIR_PATH = "/path/to/authenticated/keypair.json"
BLOCK_ENGINE_URL = "frankfurt.mainnet.block-engine.jito.wtf"

with open(KEYPAIR_PATH) as kp_path:
    kp = Keypair.from_json(kp_path.read())

client = get_searcher_client(BLOCK_ENGINE_URL, kp)
leaders = client.GetConnectedLeaders(ConnectedLeadersRequest())
print(f"{leaders=}")
```

## Async Client

```python
import asyncio

from jito_searcher_client import get_async_searcher_client
from jito_searcher_client.generated.searcher_pb2 import ConnectedLeadersRequest

from solders.keypair import Keypair

KEYPAIR_PATH = "/path/to/authenticated/keypair.json"
BLOCK_ENGINE_URL = "frankfurt.mainnet.block-engine.jito.wtf"

async def main():
    with open(KEYPAIR_PATH) as kp_path:
        kp = Keypair.from_json(kp_path.read())
    client = await get_async_searcher_client(BLOCK_ENGINE_URL, kp)
    leaders = await client.GetConnectedLeaders(ConnectedLeadersRequest())
    print(f"{leaders=}")

asyncio.run(main())
```

# Development

Install pip
```bash
$ curl -sSL https://bootstrap.pypa.io/get-pip.py | python 3 -
```

Install poetry
```bash
$ curl -sSL https://install.python-poetry.org | python3 -
```

Setup environment and build protobufs
```bash
$ poetry install
$ poetry shell
$ poetry protoc
```

Linting
```bash
$ poetry run black .
$ poetry run isort .
```

Linting:
```bash
poetry run isort .
poetry run black .
```

Publishing package
```bash
$ poetry protoc && poetry build && poetry publish
```
lenscharm 0.4.1
A Charming, Bayesian, Strong Lensing Framework
Requires Python: >=3.10

# LensCharm

Welcome to LensCharm, the first Charming, Bayesian, Strong Lensing package!

## Example Notebooks
Below you find a list of example notebooks.

- [Basic example and overview](examples/basic_example.ipynb)
- [Advanced example: Setting the model parameters](examples/advanced_example.ipynb)

## Documentation
- [User Guide](docs/user_guide.md)


## Installation
### Manual installation 
To install LensCharm:
- Install [nifty8](https://ift.pages.mpcdf.de/nifty/user/installation.html)
- Install the package via
```pip install --user lenscharm```.

### Requirements
The [requirements.txt](requirements.txt) file contains the dependencies for the LensCharm package.


## Citation
If you make use of the LensCharm package, remember to cite:
```
@article{lenscharm,
	author = {{Rüstig, Julian} and {Guardiani, Matteo} and {Roth, Jakob} and {Frank, Philipp} and {Enßlin, Torsten}},
	title = {Introducing LensCharm - A charming Bayesian strong lensing reconstruction framework},
	DOI= "10.1051/0004-6361/202348256",
	url= "https://doi.org/10.1051/0004-6361/202348256",
	journal = {A&A},
	year = 2024,
	volume = 682,
	pages = "A146",
}
```
hello-wolf-software 0.0.3
A simple hello world test
Requires Python: >=3.6

<!-- markdownlint-disable -->
<p align="center">
    <a href="https://github.com/DevelopersToolbox/">
        <img src="https://cdn.wolfsoftware.com/assets/images/github/organisations/developerstoolbox/black-and-white-circle-256.png" alt="DevelopersToolbox logo" />
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        <img src="https://img.shields.io/github/license/DevelopersToolbox/hello-wolf-software?color=blue&label=License&style=for-the-badge" alt="License">
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        <img src="https://img.shields.io/github/created-at/DevelopersToolbox/hello-wolf-software?color=blue&label=Created&style=for-the-badge" alt="Created">
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    <a href="https://github.com/DevelopersToolbox/hello-wolf-software/blob/master/.github/CODE_OF_CONDUCT.md">
        <img src="https://img.shields.io/badge/Code%20of%20Conduct-blue?style=for-the-badge" />
    </a>
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        <img src="https://img.shields.io/badge/Contributing-blue?style=for-the-badge" />
    </a>
    <a href="https://github.com/DevelopersToolbox/hello-wolf-software/blob/master/.github/SECURITY.md">
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</p>

## Overview

<br />
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pypdb 2.4
A Python wrapper for the RCSB Protein Data Bank (PDB) API
Keywords: protein, data, RESTful, api

# PyPDB

A Python 3 toolkit for performing searches with the RCSB Protein Data Bank (PDB). This can be used to perform advanced searches for PDB IDs matching various criteria, as well as to look up information associated with specific PDB IDs. This tool allows standard operations that can be perfomed from within the PDB website (BLAST, PFAM lookup, etc.) to be performed from within Python scripts.

If you use this module for any published work, please consider citing the accompanying paper

      Gilpin, W. "PyPDB: A Python API for the Protein Data Bank."
      Bioinformatics, Oxford Journals, 2016.

## Installation

Install using pip:

    $ pip install pypdb

To install the development version, which contains the latest features and fixes, install directly from GitHub using

    $ pip install git+https://github.com/williamgilpin/pypdb

If you need to  install directly from setup.py,

    $ python setup.py install

Test the installation, and check that the code successfully connects to the PDB, navigate to the root directory and run

    $ pytest

This code has been designed and tested for Python 3.

## Usage

### PDB Text Search
This package can be used to get lists of PDB IDs associated with specific search terms, experiment types, structures, and other common criteria. To use the simple API, see the examples in [`demos/demos.ipynb`](demos/demos.ipynb). For advanced search and query logic, see the examples in [`search/EXAMPLES.md`](pypdb/clients/search/EXAMPLES.md).

### PDB Data Fetch
Given a list of PDBs, this package can be used to fetch data associated with those PDBs, including their dates of deposition, lists of authors and associated publications, their sequences or structures, their top BLAST matches, and other query-specific attributes like lists of a ligands or chemical structure.  To use the simple API, see the examples in [`demos/demos.ipynb`](demos/demos.ipynb). For advanced search and query logic, see the examples in [`data/EXAMPLES.md`](pypdb/clients/data/EXAMPLES.md).

## Issues and Feature Requests

If you run into an issue, or if you find a workaround for an existing issue, we would very much appreciate it if you could post your question or code as a GitHub issue.

If posting a feature request, please check that your request is possible using [the current GUI on current RCSB website](https://www.rcsb.org/search/advanced). If so, please perform your search, and then click the link that says `JSON` in the upper right hand corner of the Advanced Search box. Please post that JSON code with your feature request.