semvec/pypi-packages huggingface dataset:
sxdm 1.0.0
Tools for analyzing Scanning X-ray Diffraction Microscopy data
Requires Python: >=3.6
Keywords: SXDM X-ray microscopy APS 26-ID-C Argonne Advanced Photon Source

SXDM
====
   
.. image:: https://github.com/WilliamJudge94/sxdm/actions/workflows/python-package-conda.yml/badge.svg
   :target: http://shields.io/
   
.. image:: https://readthedocs.org/projects/sxdm/badge/?version=latest
   :target: http://sxdm.readthedocs.io/en/latest/?badge=latest
   :alt: Documentation status
.. image:: https://badge.fury.io/py/sxdm.svg
    :target: https://badge.fury.io/py/sxdm



SXDM is a library for analyzing Scanning X-Ray Diffraction Microscopy data
for materials science, chemistry and similar fields. The major focus is on
Scanning Microscopy frames collected at multiple incident angles. One can
import, retrieve, and analyze 26 - ID - C datasets, including X-ray
Fluorescence data, all from a Python format.

Motivation & Features
---------------------

- Importing and analysis of scanning x-ray diffraction microscopy framesets
- Analysis of scanning x-ray diffraction microscopy (centroids, region of interest, and general user analysis)
- Provide a python toolkit for analysis of X-ray diffraction frames.
- Privide a python toolkit for importing and retrieving X-ray Fluorescence data.
- Store data in an open format for easy distribution.
- Provide framework 26-ID-C data handling.

Installation (pip)
------------------

- `pip install sxdm`


Developer Installation (git)
----------------------------

- conda create -n sxdm python=3.6
- source activate sxdm
- git clone clone git@github.com:WilliamJudge94/sxdm.git
- pip3 install -r sxdm/requirements.txt
- pip3 install ipykernel
- ipython kernel install --user --name=sxdm

Developer Virtual Environment & Jupyter Setup (git)
---------------------------------------------------

**Run Commands In Jupyter Shell**


- `%matplotlib qt`
- `import sys`

**Linux**
- `sys.path.append('/path/to/sxdm/folder')`

**MacOS**
- `sys.path.append('/Users/usr/virtual_environment/lib/python3.7/site-packages/')`


- `from sxdm import *`



Usage
-----

Please see the https://sxdm.readthedocs.io/en/latest/ for more details


License
-------

This project is released under the `GNU General Public License version 3`_.

This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
General Public License for more details.

.. _GNU General Public License version 3: https://www.gnu.org/licenses/gpl-3.0.en.html
criteo-api-retailmedia-stable-sdk 2021.10.1.211123
Criteo API SDK
Requires Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4
Keywords: Criteo,OpenAPI-Generator,Criteo API SDK

# Criteo API SDK for Python
[![](https://img.shields.io/pypi/pyversions/criteo-marketing.svg)](https://pypi.org/project/criteo-marketing-transition/)

IMPORTANT: This Python package links to Criteo production environment. Any test applied here will thus impact real data.

## Requirements.

Python 2.7 and 3.5+

## Installation & Usage
### pip install


```sh
pip install criteo-api-retailmedia-stable-sdk
```
(you may need to run `pip` with root permission: `sudo pip install criteo-api-retailmedia-stable-sdk`)

Then import the package:
```python
import criteo_api_retailmedia_v2021_10
```

Full documentation on [Github](https://github.com/criteo/criteo-api-python-sdk).

## Disclaimer

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
redis_cache_lock 3.5
Synchronizing cache generation to reduce work

================
redis_cache_lock
================

Cache with synchronization over redis.

Similar to `aioredis lock
<https://github.com/aio-libs/aioredis-py/blob/master/aioredis/lock.py>`_,
but optimized for synchronizing cache, to reduce work done.

Highly similar to `redis-memolock
<https://github.com/kristoff-it/redis-memolock>`_.


Usage
-----

See `example.py <doc/example.py>`_.
creasepattern 0.0.12
Origami Crease Pattern tools
Requires Python: >=3.6

# creasepattern

Basic tools to work with Origami Crease Patterns.

## Usage

Install with pip

```
pip install creasepattern
```

This installs the `crease` executable:

```
Usage:
        crease creasepattern.cp image.png
        crease creasepattern.cp image.svg
```

### `cp2png(infile, outfile, size=2048, margin=20, aa_scale=4)`

Convert `.cp` files to `.png`

Size of the output file is scaled to the given size, either horizonally or vertically, whichever is larger.

`aa_scale` is used to anti alias. Set to 1 to disable anti aliasing.

```python
from creasepattern import cp2png

cp2png('file.cp', 'file.png')
```

### `cp2svg(infile, outfile, margin=10)`

Convert `.cp` files to `.svg`

```python
from creasepattern import cp2svg

cp2svg('file.cp', 'file.svg')
```

### `opx2png(infile, outfile, size=2048, margin=20, aa_scale=4)`

Convert Oripa `.opx` to `.png`

### `opx2svg(infile, outfile, margin=10)`

Convert Oripa `.opx` to `.svg`

### `opx2cp(infile, outfile)`

Convert Oripa `.opx` to `.cp`

### `orh2png(infile, outfile, size=2048, margin=20, aa_scale=4)`

Convert Orihime `.orh` to `.png`

### `orh2svg(infile, outfile, margin=10)`

Convert Orihime `.orh` to `.svg`.

Only supports exporting normal lines, so no folded bases, aux circles and non-interfering aux lines.

### `orh2cp(infile, outfile)`

Convert Orihime `.orh` to `.cp`.

### `from_cp(infile: str) -> Cp`

Convert `.cp` to a `Cp` object.

### `from_cp_str(lines: list[str]) -> Cp`

Convert string lines in `.cp` format to a `Cp` object.

### `from_opx(infile: str) -> Cp`

Convert Oripa `.opx` to a `Cp` object.

### `from_orh(infile: str) -> Cp`

Convert Orihime `.orh` to a `Cp` object

### `to_svg(cp: Cp) -> str`

Convert a `Cp` object to an svg string

### `to_png(cp: Cp) -> Image`

Convert a `Cp` object to a PIL Image

### `to_cp`(cp : Cp) -> str`

Convert a `Cp` object to a `.cp` file string.

## Roadmap

* (Must) Make size of output configurable
* (Must) Make edge types configurable
* (Could) Support more filetypes
fitkit 0.2.1
Fit and inspect statistical models.
Requires Python: >=3.6

# `fitkit` - Fit and inspect statistical models

Copyright (c) 2021 by Gabriel Okasa and Kenneth A. Younge.  

	AUTHOR:  Gabriel Okasa and Kenneth A. Younge  
	SOURCE:  https://github.com/okasag/fitkit.git   
	LICENSE: Access to this code is provided under an MIT License.  

  


## Install

#### Install with `pip`

```bash
pip install fitkit
```

#### Or clone from GitHub

```bash
git clone github.com/okasag/fitkit.git
cd fitkit
pip install -r requirements.txt
```

 

## Usage

Import `qkit`

```python
import fitkit
```

Import `qkit` with a handle

```python
import fitkit as fk
```
ewc-commons 0.0.1.11
Collection of common use stuff
Requires Python: >=3.7, <4
Keywords: ewc,commons,library,sophie,cli,launcher,dice dice rolls,card deck

# EWC Commons Library #

[![PyPI](https://img.shields.io/pypi/v/ewc-commons)](https://img.shields.io/pypi/v/ewc-commons)

[![Documentation Status](https://readthedocs.org/projects/ewc-commons/badge/?version=latest)](https://ewc-commons.readthedocs.io/en/latest/?badge=latest)

[![PyPI - Downloads](https://img.shields.io/pypi/dm/ewc-commons)](https://img.shields.io/pypi/dm/ewc-commons)

[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/ewc-commons)](https://img.shields.io/pypi/pyversions/ewc-commons)


A collection of common & useful things to make other things easier.

### Installing ###
Use pip to install the **EWC Commons Library**, which can also be used from the command line to trigger certain inbuilt functionality.

```bash
$ pip install ewc-commons[dev]
```

Veryfy the library installed and check the version or help.

```bash
$ ewccommons -v
...
$ ewccommons -h
```

### Getting Started ###

* Sophie Module
* Dice Module
* Dice Rolls Module
* Card Deck Module

### How do I get set up? ###

* Summary of set up
* Configuration
* Dependencies
* Database configuration
* How to run tests
* Deployment instructions

### Sophie Module ###

The **sophie** module is used to provide convenient CLI script launcher framework


### Dice Module ###

The **dice** module provides an OOP solution for creating various sided die simulators and a conveniant way of rolling multiple (varying) Dice objects


### Dice Rolls Module ###

The **dicerolls** module can be used in multiple ways, firstly it can be used in the standard way of being imported into python scripts. **dicerolls** can also be invoked as a module script and will output the dice rolls for the dice specified. The same dice rolling functionality can also be invoked via the main **ewccommons** package executable.


### Card Deck Module ###

The **carddeck** module provides a convenient means of creating card deck list which can be used as a basis for card based games.


### Contribution guidelines ###

* Writing tests
* Code review
* Other guidelines

### Who do I talk to? ###

* Repo owner or admin
* Other community or team contact
tkitAutoTokenizerPosition 0.0.0.616376824
Terry toolkit tkitAutoTokenizerPosition,

# tkitAutoTokenizerPosition


用于处理AutoTokenizer分词后位置修正，可用于BIO序列问题。


## 安装

```

pip install tkitAutoTokenizerPosition
# or
pip install git+https://github.com/napoler/tkit-AutoTokenizerPosition

```

示例

https://github.com/napoler/tkit-AutoTokenizerPosition/blob/master/demo.ipynb




文档查看
https://docs.terrychan.org/tkit-AutoTokenizerPosition/