semvec/pypi-packages huggingface dataset:
hypermapper 2.2.13
HyperMapper is a multi-objective black-box optimization tool based on Bayesian Optimization.
Requires Python: >=3.6

# HyperMapper

[![Build Status](https://travis-ci.com/luinardi/hypermapper.svg?branch=master)](https://travis-ci.com/luinardi/hypermapper)

## Software and Installation
We recommend installing HyperMapper with `pip`:
```
pip install hypermapper
```

We recommend using pip version 18 or higher. Please see the wiki for the [quick start guide](https://github.com/luinardi/hypermapper/wiki) and [alternative installation](https://github.com/luinardi/hypermapper/wiki/Install-HyperMapper).

## Abstract
HyperMapper is a multi-objective black-box optimization tool based on Bayesian Optimization. 

HyperMapper was succesfully applied to real-world problems involving design search spaces with trillions of possible design choices. In particular it was applied to: 
1) Computer vision and robotics,
2) Programming language compilers and hardware design, 
3) Database management systems (DBMS) parameters configuration.

To learn about the core principles of HyperMapper refer to the papers section at the bottom. 

## Contact and Info
For any questions please contact Luigi Nardi: luigi.nardi at cs.lth.se.

## HyperMapper Slack Channel
Join the channel for a quicker communication with the dev team: 
```latex
hypermapper.slack.com
```

## License
HyperMapper is distributed under the MIT license. More information on the license can be found [here](https://github.com/luinardi/hypermapper/blob/master/LICENSE).

## People
### Main Contributors
    Artur Souza, Ph.D. student, Federal University of Minas Gerais
    Leonard Papenmeier, Ph.D. student, Lund University 
    Carl Hvarfner, Ph.D. student, Lund University
    Erik Hellsten, Postdoc, Lund University
    Luigi Nardi, Assistant Professor, Lund University, and Researcher, Stanford University
### Other Contributors    
    Bruno Bodin, Assistant Professor (National University of Singapore) 
    Samuel Lundberg (Lund University)
    Alfonso White (Imperial College London)
    Adel Ejjeh, Ph.D. Student (University of Illinois at Urbana-Champaign)
    Matthias Mayr, Ph.D. Student (Lund University) 

## Papers
If you use HyperMapper in scientific publications, we would appreciate citations to the following paper: 

```
Nardi, Luigi, David Koeplinger, and Kunle Olukotun. "Practical Design Space Exploration", IEEE MASCOTS, 2019.
```

For the list of all publications (including bibtex) related to HyperMapper and its applications, see our [Publications](https://github.com/luinardi/hypermapper/wiki/Publications) page.
wemeet-openapi 1.0.0.18
OpenAPI SDK for Python
Requires Python: >=3.7
Keywords: Wemeet,OpenAPI SDK

# 简介
欢迎使用腾讯会议开发者工具套件（SDK）1.1.0，为方便 Python 开发者调试和接入腾讯云会议 API，这里向您介绍适用于 Python 的腾讯会议开发工具包，并提供首次使用开发工具包的简单示例。让您快速获取腾讯会议 Python SDK 并开始调用。
# 依赖环境
1. 依赖环境：Python 3.7 版本及以上。
2. 购买腾讯会议企业版获取 SecretID、SecretKey，接入的企业 AppId。

# 获取安装
在第一次使用云API之前，用户首先需要在腾讯云控制台上申请安全凭证，安全凭证包括 SecretID 和 SecretKey，SecretID 是用于标识 API 调用者的身份，SecretKey 是用于加密签名字符串和服务器端验证签名字符串的密钥 SecretKey 必须严格保管，避免泄露。

## 通过源码包安装
1. 前往 [Github 代码托管地址](https://git.code.tencent.com/open_sdk/openapi-sdk-python) 下载源码压缩包；
2. 解压源码包到您项目合适的位置；
3. 引用方法可参考示例。

# 示例

以创建会议接口为例：
```Python
import random
import time

import wemeet_openapi

# crete_meeting_demo 创建会议请求demo
def crete_meeting_demo():

    # 1.构造 client 客户端(jwt 鉴权需要配置 appId sdkId secretID 和 secretKey)
    client = wemeet_openapi.Client(app_id="2****46", sdk_id="2****50",
                                   secret_id="Zk*****J8h",
                                   secret_key="Y2z*****WRsVksn")

    # 2.构造请求体
    request = wemeet_openapi.ApiV1MeetingsPostRequest(
        body=wemeet_openapi.V1MeetingsPostRequest(
            instanceid=2,
            meeting_type=0,
            subject="测试会议",
            type=1,
            userid="userid",
            start_time="1651334400",
            end_time="1651377600"
        )
    )

    # 3.构造 JWT 鉴权器
    authenticator_builder = wemeet_openapi.JWTAuthenticator(
        nonce=random.randrange(0, 2 ** 64),
        timestamp=str(int(time.time()))
    ).options_build()

    # 4.发送对应的请求
    try:
        response = client.meetings_api.v1_meetings_post(
            request=request,
            authenticator_options=[authenticator_builder])

        print(f"Response from `MeetingsApi.V1MeetingsPost`: {vars(response)}\n")
    except wemeet_openapi.ClientException as e:
        print(f"Error when calling `MeetingsApi.V1MeetingsPost`: {e}\n")

    except wemeet_openapi.ServiceException as svrErr:
        print(f"Error when calling `MeetingsApi.V1MeetingsPost`: {svrErr}\n")
        print(f"Full HTTP response: {str(svrErr.api_resp.raw_body)}\n")


# 调用入口点函数
if __name__ == "__main__":
    crete_meeting_demo()
```