semvec/pypi-packages huggingface dataset:
mailcheck 1.0.0
Python wrapper for the MailCheck.ai API

# mailcheck

Python wrapper for the MailCheck.ai API

## Installation

```bash
pip install mailcheck
```

## Usage

### Import package

```python
from mailcheck import MailCheckClient
```

### Instantiate client

Without API key:

```python
client = MailCheckClient()
```

With API key (for Pro plan users):

```python
client = MailCheckClient(YOUR_MAILCHECK.AI_API_KEY)
```

### Check domain name

```python
response = client.check_domain('google.com')
print(response)
```

Output:

```bash
{
    'status': 200,
    'domain': 'google.com',
    'mx': True,
    'disposable': False,
    'public_domain': False,
    'did_you_mean': None
}
```

### Check email address

```python
response = client.check_email('bill@microsoft.com')
print(response)
```

Output:

```bash
{
    'status': 200,
    'email': 'bill@microsoft.com',
    'domain': 'microsoft.com',
    'mx': True,
    'disposable': False,
    'public_domain': False,
    'alias': False,
    'did_you_mean': None
}
```
AcAuto3D 1.0.1
Generating Low-energy 3D Conformers from SMILES/SDF
Requires Python: >=3.7

# **Auto3D**
<a href="https://pypi.org/project/Auto3D/" target="_blank"><img src="https://img.shields.io/badge/pypi-url-informational" alt="pypi_link"></a>
![PyPI](https://img.shields.io/pypi/v/Auto3D)
![PyPI - Downloads](https://img.shields.io/pypi/dm/Auto3D)
![PyPI - License](https://img.shields.io/pypi/l/Auto3D)

<img width="1109" alt="image" src="https://user-images.githubusercontent.com/60156077/180329514-c72d7b92-91a8-431b-9339-1445d5cacd20.png">




**Auto3D** is a Python package for generating low-energy conformers from SMILES/SDF. It automatizes the stereoisomer enumeration and duplicate filtering process, 3D building process, fast geometry optimization and ranking process using ANI and AIMNet neural network atomistic potentials. Auto3D can be imported as a Python library, or be excuted from the terminal.

Please check out the information at [**documentation**](https://auto3d.readthedocs.io/en/latest/index.html), including [installation](https://auto3d.readthedocs.io/en/latest/installation.html), [usage](https://auto3d.readthedocs.io/en/latest/usage.html), [API](https://auto3d.readthedocs.io/en/latest/api.html) and [citation](https://auto3d.readthedocs.io/en/latest/citation.html).

- **Jupyter notebook examples** can be found [here](https://github.com/isayevlab/Auto3D_pkg/tree/main/example)
- To-do list for **improvement and new features** can be found [here](https://github.com/isayevlab/Auto3D_pkg/discussions). You are welcomed to share your thoughts.
- Bugs go to the [issues](https://github.com/isayevlab/Auto3D_pkg/issues)

## Minimum Dependencies Installatioin
1. Python >= 3.7
2. [RDKit](https://www.rdkit.org/docs/Install.html) >= 2022.03.1(For the isomer engine)
3. [PyTorch](https://pytorch.org/get-started/locally/) >= 2.1.0 (For the optimization engine)

If you have an environment with the above dependencies, Auto3D can be installed by
```{bash}
pip install Auto3D
```
Otherwise, you can create an environment and install Auto3D. In a terminal, the following code will create a environment named `auto3D` with Auto3D and its minimum dependencies installed.
```{bash}
git clone https://github.com/isayevlab/Auto3D_pkg.git
cd Auto3D_pkg
conda env create --file installation.yml --name auto3D
conda activate auto3D
pip install Auto3D
```
rocketmq-holder 1.0.2
RocketMQ Python 客户端
Requires Python: <4.0,>=3.7

# The Python Implementation of Apache RocketMQ Client

English | [简体中文](README-CN.md) | [RocketMQ Website](https://rocketmq.apache.org/)

## Overview

Here is the Python implementation of the client for [Apache RocketMQ](https://rocketmq.apache.org/). Different from the [remoting-based client](https://github.com/apache/rocketmq/tree/develop/client), the current implementation is based on separating architecture for computing and storage, which is the more recommended way to access the RocketMQ service.

Here are some preparations you may need to know (or refer to [here](https://rocketmq.apache.org/docs/quickStart/02quickstart/)).

1. Python 3.7 is the minimum version required, Python 3.10 is the recommended version.
2. Setup namesrv, broker, and [proxy](https://github.com/apache/rocketmq/tree/develop/proxy).

## Getting Started

We are using Poetry as the dependency management & publishing tool. You can find out more details about Poetry from its [website](https://python-poetry.org/). Here is the related command of Poetry you may use for development.

```shell
# Create a virtual environment and activate it.
poetry env use python3
# Installs the project dependencies.
poetry install
# Spawns a shell within the virtual environment.
poetry shell
```

We use pytest as the testing framework for the current project, and you can execute `pytest` directly to run all tests.

## Publishing Steps

We utilize PyPI to help users easily introduce and use the Python client in their projects. To publish a package to PyPI, please register an account in advance, then execute the following command.

```shell
# Builds a package, as a tarball and a wheel by default.
poetry build
# Publishes a package to a remote repository.
poetry publish -u username -p password
```

## Current Progress

* Protocol layer code generation is completed.
* Partial completion of `rpc_client.py`.