semvec/pypi-packages huggingface dataset:
readercake 0.0.1
A Easy Reader + Writer Module For Python 3.7+
Requires Python: >=3.7

**ReaderCake** *© Jaasim*

ReaderCake --> Easy Read + Write Module For Python 3.7+

-------------------

Available Functions:

1. `read_all()`
2. `write_data()`
3. `append_data()`
4. `read_line()`
5. `read_lines()`

------------------

Usage :

`read_all()`  
`Returnes all data which was read on the file`   
Ex. `print(read_all())`

------------

`write_data(word)`   
`Writes the Word ( Arg ) Into The File`    
Ex. `write_data('abc')`, file data : `abc`

------------------

`append_data(word)`     
`Appends word ( arg ) Into The File `    
Ex. `append_data('xyz')`, file data : `abc xyz`

----------------------

`read_line(line)`    
`Returns The` **line**  `Number Of Charecters In the File`    
Ex. `print(read_line(5))` Output : `abc x`

------------------

`read_lines(line)`            
`Returns the No.Of ` **Line** `On The File`   
Ex. `print(read_lines(1))` Output : `abc xyz`

--------------------

**How to Install and Initialize :**

`pip install readercake`

`abc = ReaderCake(filename=example.txt, encoding=utf-8, filedir=C:/example.txt)`

`abc.(function)`

-------------------------

*Thank You!*
s3dxrd 0.0.10
Tools for intragranular strain estimation with s3dxrd data.
Requires Python: >=3.6

Welcome to the s3dxrd package
===============================

This is a scientific code originally developed to adress scanning-3d-xray-diffraction (s3dxrd)
strain measurements of polycrystalline materials.

Intragranular strain is computed based on a series of line integral measurements. The s3dxrd package supports
regression either by a simple weighted least squares approach or alternatively by a Gaussian Proccess. The later
statistical model uses spatial correlation assumptions and an equlibrium prior to find good fits to data.

If you want to use this code, it is strongly recomended that you have a look at `the underlying publication`_: 
describing the weighted least squares approach (named "ASR" in the paper)

    *Reconstructing intragranular strain fields in polycrystalline materials from scanning 3DXRD data, 
    Henningsson, N. A., Hall, S. A., Wright, J. P. & Hektor, J. (2020). J. Appl. Cryst. 53, 314-325.*

.. _the underlying publication: https://journals.iucr.org/j/issues/2020/02/00/nb5257/

The paper describing the Gaussian Process regression procedure is also available `here`_:

    *Intragranular Strain Estimation in Far-Field Scanning X-ray Diffraction using a Gaussian Processes, 
    Henningsson, A. & Hendriks, J. (2021). J. Appl. Cryst. 54.*

.. _here: https://journals.iucr.org/j/issues/2021/04/00/nb5298/

This paper may also help the user to understand some of the mathematical notation hinted at in the code.

Installation
===============================
Installation via pip is available as

.. code-block::

    pip3 install s3dxrd

For manuall installation, first get the code to your local machine by:

.. code-block::

    git clone https://github.com/AxelHenningsson/scanning-xray-diffraction.git

Next go to the repository and try to install

.. code-block::

    cd scanning-xray-diffraction
    python setup.py build install

You will now recieve messages about dependecies that need be installed first. 
Go through these untill the build succeeds.


Documentation
===============================
Documentation is hosted seperately at `github pages`_: 

.. _github pages: https://fable-3dxrd.github.io/scanning-xray-diffraction/
pushgateway-client 0.0.12
Python3专用的pushgateway客户端，可以向Pushgateway中推送指标数据，支持多标签设定
Requires Python: >=3.6

# 安装模块
```shell
pip install pushgateway-client
```
如果国内下载较慢可以临时加速一下
```shell
# pypi官网（原版拉取）
pip install pushgateway-client --upgrade -i https://pypi.org/project   

# 阿里云源（加速拉取）
pip install pushgateway-client --upgrade -i http://mirrors.aliyun.com/pypi/simple

# 清华大学源（加速拉取）    
pip install pushgateway-client --upgrade -i https://pypi.tuna.tsinghua.edu.cn/simple
```

# 使用说明
```
from pushgateway_client import client   # 导入该模块

result = client.push_data(
    url="127.0.0.1:9091",               # 连接地址：此处只需要填写Pushgateway的IP地址+端口就行了，不用写http协议头，暂时只支持http连接
    metric_name="my_metric_name",       # 指标名称：此处指的就是Prometheus中的指标名（至于如何让Pushgateway中的指标投送到Prometheus中，请参阅官方文档）
    metric_value="123",                 # 指标的值：受官网当前版本的限制，目前只支持数字做为值
    job_name="demo",                    # Job名字：Prometheus会为所有的指标都追加一个job标签，在Prometheus这个job只是一个标签，但是在Pushgateway中这个job就是一个唯一标识符
    labels={                            # 标签可以自己随意设定，支持多标签；需要注意的是：<instance>标签如果不明确的指定的话，本模块会自动获取<您的主机名>来成为<instance>标签的值
        "aaa": "111",
        "bbb": "222",
        "ccc": "333",
        },
    timeout=5,                          # 设定推送数据时的超时时间，默认值为5秒
    )


print(result)                           # 返回值是一个布尔类型，便于您进行后续的集成开发
print(type(result))
```

# 查看效果
![](http://img.taycc.com/picgo/img.png)


This is a simple example package.You can check out the details at blog.taycc.com
[https://blog.taycc.com](https://blog.taycc.com/pages/opensource/pushgateway_client.html).
onepx 0.0.2
A small example package
Requires Python: >=3.6

# python-self-use

#### 介绍

#### 软件架构
软件架构说明


#### 安装教程

https://pypi.org/project/onepx/0.0.1/

pip install onepx

#### 使用说明

"""
import onepx

ocrtext2df(text, 3)

"""

#### 参与贡献

1.  Fork 本仓库
2.  新建 Feat_xxx 分支
3.  提交代码
4.  新建 Pull Request
pyfaceit 1.4.2
Simple Package that allows the extraction of player data, this is a REST api and needs to be ran. This is a flask application
Keywords: python,faceit,api,rest api,get data,flask,python


# Pyfaceit

Pyfaceit is a Python Package that makes it easy to retrieve data from Faceit API for Counter Strike Developers. Faceit API docs can be confusing and hard to implement, 
this Python package does all the hard work behind the scenes, simply input the faceit name and retrieve all dat from a player, you can even retrieve specific map data.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install Pyfaceit.

```bash
pip install pyfaceit
```

## Usage

```python
import pyfaceit

# Creates Instance of Pyfaceit Class
instance = pyfaceit.Pyfaceit(<faceit name as string>)
# returns python Dict of all player data
instance.player_stats()

# returns Python dict information of player information for specific map.
instance.player_stats_map(<map_name(can be without de_ eg. 'mirage' or 'de_mirage')>)
```

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

## License
[MIT](https://choosealicense.com/licenses/mit/)
cpm-cli 1.11.2
Chromos Package Manager
Requires Python: >=3.7

# cpm: A modern project management tool for C/C++ projects  ![CI](https://github.com/jorsanpe/cpm/workflows/CI/badge.svg)

You can find the [documentation](https://cpmbits.com/documentation/getting-started.html) in the [cpmbits website](https://cpmbits.com).

## Installation
`pip3 install cpm-cli`

CPM depends on [CMake](https://cmake.org/) and [ninja](https://ninja-build.org/) for the build process.

## Getting started
```
cpm create DeathStartLaserBackend
cd DeathStartLaserBackend
cpm build
```

After creating the project, the binary will be available in the project `build` directory. 
```
./build/DeathStartLaserBackend
```

### Manage dependencies
CPM manages your project dependencies through CPM-Hub. In order to install a bit, declare it in the project descriptor:

```yaml
build:
  bits:
    sqlite3: '3.32.3'
test:
  bits:
    cest: '1.0'
```

Then use the command line to install all dependencies.

```
cpm install
```

### Run your tests
```
cpm test
```

Test sources reside in the `tests` directory. `cpm` will consider as test suites any files that match the expression
`test_*.cpp`.