Saravanan666/pypi-org huggingface dataset:
Package: girder-xtk-demo
Demo plugin to show very basic integration of girder and XTKInstallationinstall plugin:pip install girder-xtk-demo
girder build
girder serveupload data. For exampleMRHead.nrrdAddXTKmetadata to newly created item.Possible value forXTKmetadata are:{"type": "volume"}
{"type": "volume2d"}
{"type": "mesh"}Note:meshtype will not work forMRHead.nrrdRefresh the page. Et voila.ExamplesType: volumegirder-xtk-type-volumeType: volume2dgirder-xtk-type-volume2d
Package: girg-sampling
GIRG samplingA Python wrapper for theGIRGs sampling library(C++).
Contains a direct wraper of the C++ library and NetworkX Graph generators (optional).
Efficiently generates Geometric Inhomogeneous Random Graphs (GIRGs) and Hyperbolic Random Graphs (HRGs).See the paperEfficiently Generating Geometric Inhomogeneous and Hyperbolic Random Graphsfor details of the algorithm.InstallInstall from PyPI asgirg-samplingviapip,poetryetc.
To build the package locally, install Poetry package manager and runpoetry build, optionally withpoetry install.To usegenerateNetworkXfunctions, you need to have thenetworkxpackage (not a default dependency ofgirg-sampling)Usageimportgirg_samplingg=girg_sampling.girgs.generateNetworkX(n=135,ple=1.5,dim=4,deg=4.2,alpha=100,seed=41)h=girg_sampling.hypergirgs.generateNetworkX(n=1001,alpha=0.75,T=0.7,deg=2.2,seed=None)Seetestsfor sample usage of the raw C++ wrappers.Changelog0.1.0: A direct wrapper of the C++ graph generator functions.0.2.0: Minor fixes, unifyseedparam, add e2e tests, build wheels for python up to 3.100.2.1: Update urllib3 dev-dependency for twine under Python 3.100.3.0: Add NetworkX wrapper, update python version, add docs.
Package: girlfriendpy
gf.pyi think i have a gf i dont entirely know how a gf is defined but i think she is so i made this library to help methis is a python port ofgf.jswhat is itthis is a library to help me know if she is my girlfriend or notwhy does this exist?gf.js exists, but I don't like js, so I ported it to pythonusage# to install it to your env$pipinstallgirlfriendpyfromgfimportgfprint(type(gf))# Nonedevelopmentany issues or pr's that has more input on this would be helpfulwhy should I care?I'm very gay, thanks.
Package: gis
Opinionated Python + Postgis GIS.EXPERIMENT ONLYNOTFOR PRODUCTIONUsage:pip install gis
python -m gis index -file=myvector.geojson
python -m gis index -file=myraster.tif
python -m gis runFeatures:[ ] OpenAPI 3.0 compliant[ ] Provides access to features[ ] Provides access to layers (collection of features)[ ] Provides access to datasets (collection of layers)[ ] Provides access to maps (collection of datasets)[ ] Supports access to cloud optimized geotiffs/dataset/<id>
/map/<id>
/api
/<layer_name>/<id>
/precipitation/ <- stac catlog of folders
/precipitation/<folder>/LC08_20171112_120012/ <- stac item for this dataset with overviews, etc and links to the actual geotiff.
/precipitation/<folder>/LC08_20171112_120012/ <- stac item for this dataset with overviews, etc and links to the actual geotiff.
/precipitation/<folder>/LC08_20171112_120012/1.tif <- cloud optimized geotiff
Package: gisa
GisaGisa is a Python package that converts numbers into Malagasy words. It provides a functionnumber_to_wordthat takes a numeric input and returns its corresponding Malagasy word representation.InstallationYou can install gisa.manisa using pip:pipinstallgisaUsageTo use gisa, you need to import it first:fromgisa.manisaimportnumber_to_wordThen, you can call the number_to_word function to convert a number to its Malagasy word representation:word=number_to_word(586)print(word)# outputs "enina ambiny valopolo sy dimanjato"LimitationsIt's important to note that the "gisa" package does not currently include functionality to convert Malagasy words to their numerical value. Theint_to_wordandfloat_to_wordfunctions are designed to convert numbers to their Malagasy word representation, but there is no equivalent function to convert Malagasy words back to their numerical value. Also, the package currently only supports the Malagasy language.LicenseThis package is licensed under the MIT License. See the LICENSE file for more information.
Package: gisaid
gisaid-uploaderSimplified & efficient GISAID interactions.** This package is in development **Features to be added soon:STARLIMS REST API support for pipelinesGISAID API download functionalityRegister for aGISAIDaccountEmail GISAID & request a client IDInstallation:>>>pipinstallgisaidAuthenticate once:>>>importgisaidasgs>>>gs.GiSaid(authenticate=True,client_id="foo",>>>username="bar",password="foobar",filename="authfile.json")"Authentication successful"CSV + fasta file:>>>importgisaidasgs>>>x=gs.GiSaid("upload.csv","fasta.fa")>>>x.upload()"93 Successful Uploads""15 Failed Uploads"Collated CSV:>>>importgisaidasgs>>>x=gs.GiSaid("collated","upload.csv")>>>x.upload()"93 Successful Uploads"Upload to a SQL database:>>>importgisaidasgs>>>table_name="foobar">>>method="append">>>x=gs.GiSaid("upload.csv","fasta.fa")>>>x.upload_sql(table_name,method,conn)
Package: gisansexplorer
gisans-X-plorerSimple App that interactively helps in the reduction ofNICOSfiles forGISA(N|X)Sdata.Install - Windows, Mac, Linux;Python 3.6Open a terminal and usepip:$ pip install gisansexplorerRun:Once installed, open a terminal and simply callgisansexplorer:$ gisansexplorerHow To...| Developed byJuan M. Carmona Loaizain collaboration withAlexandros Koutsioumpas.
| Maintained by theMLZ Scientific Computing Group.
Package: gis-conflation-toolchain
spatial-data-conflation-open-toolchain[EARLY DRAFT] Open, free to use, toolchain for geospatial data conflation. Command-line interface for file manipulation.See geojson-diff.py fromhttps://github.com/fititnt/openstreetmap-vs-dados-abertos-brasil.Installingpipinstall--upgradegis-conflation-toolchainToolchaincsv2exceldoc/csv2excel-help.mdcsveditdoc/csvedit-help.mddictionarybuilderdoc/dictionarybuilder-help.mdgeojsondiffdoc/geojsondiff-help.mdgeojsonconcatdoc/geojsonconcat-help.mdgeojsoneditdoc/geojsonedit-help.mdgeojsonmergerdoc/geojsonmerger-help.mdcsv2geojsondoc/csv2geojson-help.mdjson2csvdoc/json2csv-help.mdoverpassql2osmfdoc/overpassql2osmf-help.md
Package: gi-scraper
Google-Image-ScraperAboutThis module is based on web-scraping technology and uses Google Images to provide a Streamable Image API.Supported SystemsWindowsSupported BrowsersChromeHow to Use?# import Scraper classfromgi_scraperimportScraper# The object creation has an overhead time# The same object can be reused to fire multiple queriessc=Scraper(headless=False)forquery,countin{"Naruto":20,"Gintoki":50,"Loki":500}.items():print("Querying...",query)# scrape method returns a stream objectstream=sc.scrape(query,count)# stream.get method yields Response object with following attributes# - query (str): The query associated with the response.# - name (str): The name attribute of the response.# - src_name (str): The source name attribute of the response.# - src_page (str): The source page attribute of the response.# - thumbnail (str): The thumbnail attribute of the response.# - image (str): The image attribute of the response.# - width (int): The width attribute of the response.# - height (int): The height attribute of the response.forresponseinstream.get():# response.to_dict returns python representable dictionaryprint(response.image,response.to_dict())# call this to terminate scraping (auto-called by destructor)sc.terminate()
Package: gis_csdt
[![Build Status](https://travis-ci.org/CSDTs/SGIS-backend.svg?branch=master)](https://travis-ci.org/CSDTs/SGIS-backend)[![CoverageStatus](https://coveralls.io/repos/github/CSDTs/SGIS-backend/badge.svg?branch=master)](https://coveralls.io/github/CSDTs/SGIS-backend?branch=master) [![Updates](https://pyup.io/repos/github/CSDTs/SGIS-backend/shield.svg)](https://pyup.io/repos/github/CSDTs/SGIS-backend/)The API backend of SGIS for the 3Helix program.The frontend can be found [here](https://github.com/gouravjeet/SGIS-2.0).##Contents
* [Fall 2014 Independent Study Syllabus](doc/syllabus.md)
* [Installation](doc/installation.md)
* [API Usage](doc/usage.md)
* [Adding a Dataset](doc/new-dataset.md)
Package: gisdata
Sometimes you need sample raster and vector data for your python applications.Sometimes you need bad data for your corner test cases. (No projections, NaN values).Sometimes you just need test metadata.This library provides all of the above.InstallationThe latest release can be installed using:pip install gisdataUsageGet the absolute path to the the sample data from python:>>> from gisdata import DATA_DIR
>>> print DATA_DIR
'/usr/lib/python2.6/site-packages/gisdata/data'
>>> from gisdata import BAD_DATA
>>> print BAD_DATA
'/usr/lib/python2.6/site-packages/gisdata/data/bad'
>>> from gisdata import GOOD_DATA
>>> print GOOD_DATA
'/usr/lib/python2.6/site-packages/gisdata/data/good'
>>> from gisdata import METADATA_DIR
>>> print METADATA_DIR
'/usr/lib/python2.6/site-packages/gisdata/metadata'
>>> from gisdata import GOOD_METADATA
>>> print GOOD_METADATA
'/usr/lib/python2.6/site-packages/gisdata/metadata/good'Known IssuesVector data does not have sld filesNo .keywords files for machine tagsContributorsAriel Núñez (ingenieroariel)Initial vector and raster dataRob Marianski (rmarianski)Time enabled datasetsTom Kralidis (tomkralidis)Metadata samples
Package: giseo
giseo.pyБиблиотека для взаимодействия с APIhttps://giseo.rkomi.ruУстановкаpip install giseoПример использованияfromgiseoimportManager# создаем объект классаmanager=Manager(login='myusername',password='goodluckpass',studentId=123456)# получаем записи дневника с 1 января 2020 по 1 января 2021manager.getDiary(start=1577836800,end=1609459200)# ...APIManager (login: str, password: str, studentId: int)login: логин пользователяpassword: пароль пользователяstudentId: ID пользователя, получается посредством консоли# создаем объект классаmanager=Manager(login='myusername',password='goodluckpass',studentId=123456)Manager.getDiary (start: int, end: int)Получение записей дневника в указанном периодеstart: начальная дата, измеряется вUNIX-timeend: конечная дата, измеряется вUNIX-time# получаем записи дневника с 1 января 2020 по 1 января 2021manager.getDiary(start=1577836800,end=1609459200)# ...Manager.getAttachments (assignsIds: list[int])Получение файлов, прикрепленных к определенным записям дневникаassignsIds: массив из ID записей дневника# получаем список файлов у записей 123, 456 и 789manager.getAttachments(assignsIds=[123,456,789])# ...
Package: giskard-toolbox
GiskardA random collection of tools I find useful for data science. A.K.A. my helpful robot
companion (the name comes from theRobotseries).For the most part these are functions, classes, etc. that I have found useful in more
than one project, so I decided to make a package for them for my own sanity. Some of
these functions may be PRed upstream eventually, others may not. If you find anything
in here useful please let me know as that is the best motivation to PR that
functionality into a "real" repo. If you find any issues or bugs, feel free tomake an issue.InstallationSince I make changes to this code often I recommend installing in develop mode.
To clone from GitHub and install, from the command line do:git clone https://github.com/bdpedigo/giskard.git
cd giskard
pip install -e .
Package: giskard-vision
The testing framework dedicated to ML models.Detect risks of biases, performance issues and errors in your computer vision models.Documentation•Blog•Website•Discord Community•AdvisorsSupported computer vision tasksFacial Landmark Detection(Readme)Installpip install giskard-visionTo install the repo in dev modegitclonehttps://github.com/Giskard-AI/giskard-vision.gitcdgiskard-vision
pdminstall-G:allsource.venv/bin/activateExamplesIn order to explore the jupyter notebook tutorials, all you need is to install the repo in dev mode and check outexamplesdirectory.FAQI am gettingattributeerror: module 'cv2.face' has no attribute 'createlbphfacerecognizer'when running some examples in dev modeThis is most likely due to the order in whichopencv-contrib-pythonmodule is installed. The following trick should resolve the issue:pipuninstallopencv-contrib-python
pipinstallopencv-contrib-python
Package: gislite
In EnglishStatic site generator (SSG) for GIS data publishment as light WebGIS application.
SSG JUST means for HTML, CSS and JavaScript.
The application run with MapServer with Apache2 CGI, and MapProxy which running via Python.Example:http://www.osgeo.cn/gislite/2020-3-5, update: Using Sphinx as the replacement to publish the HTML result.说明基于开源GIS技术开发，使用静态网站形式对GIS数据进行发布。演示网站：http://www.osgeo.cn/gislite/基于 MapServer 的服务器端GIS数据图层发布管理系统。
目的是用于解决发布较多数量的地图时的数据更新、样式修改，以及不同样式组合应用的问题。
尽量实现数据源唯一，使用 XLSX 文件定义样式。
主要实现GIS数据图层的发布，但也实现了多源数据发布为单个地图切片，以及多个图层发布为图层分组的功能。基于MapServer、MapProxy使用开放电子表格格式 XLSX 定义样式可用于团队地理信息数据快速发布管理使用技术MapServerMapProxyLeafletJSPython 3Jinja2运行方式运行下面的命令，生成地图图层，网站 HTML 文件，以及运行 MapProxy 需要的文件。python3 build_gislite.py相关网站https://www.osgeo.cn/pygis/《Python与开源GIS》，使用 Python 读取与处理 GIS数据 的工具。http://webgis.cn/涉及到 MapServer， MapProxy， Leaflet 的在线 WebGIS 教学网站 。运行环境安装开发与测试运行于 Debian Buster 。 在管理员权限下安装运行环境：apt install -y apache2 php libapache2-mod-fcgid cgi-mapserver mapserver-bin libapache2-mod-php
apt install -y python3-openpyxl python3-mapproxy python3-markdown
apt install -y build-essential  python3-gdal python3-pip
pip3 install mappyfile另外，需要GIS数据，路径由cfg.py中的GIS_BASE指定。程序需要的资源，都在cfg.py中定义。TILE_SVR是 MapProxy 服务地址。使用了 Apache + CGI 来调用 MapServer， 需要 Apache 开启80端口。
或者在build_gislite.py中修改mapserver_ip的值 。MapProxy使用使用了 MapProxy 生成地图切片。下面是脚本运行的方式。首先建立子项目：/usr/lib/python3-mapproxy/mapproxy-util create -t base-config wcs_imgmap或~/.local/bin/mapproxy-util  create -t base-config wcs_imgmap或mapproxy-util create -t base-config wcs_imgmapcd wcs_imgmap , 然后运行：/usr/lib/python3-mapproxy/mapproxy-util serve-develop  ./mapproxy.yaml -b 0.0.0.0:8011或~/.local/bin/mapproxy-util serve-develop ./mapproxy.yaml -b 0.0.0.0:8011或# mapproxy-util serve-develop ./mapproxy.yaml -b 0.0.0.0:8011View HTML ResultUnder  directorydist_site:python3 -m http.server 8888Open the brower for the demo.
Package: gismath
gismath安装pip install gismath示例importgismathlon,lat,alt=121.57156751580956,31.287623375403385,0.15180000000691507# c++ 实现ecef_cpp=gismath.geodetic2ecef_cpp(lon,lat,alt)# cython 实现ecef_cy=gismath.geodetic2ecef_cy(lon,lat,alt)print(ecef_cpp)>>>[-2856298.1505069532,4648013.005657461,3293186.773949799]print(ecef_cy)>>>(-2856298.1505069532,4648013.005657461,3293186.773949799)提供常用 GIS 算法的 CPP 版本和 Cython 版本测试CPP 版耗时Cython 版耗时numba.njit 耗时numba.njit(fastmath=True) 耗时Pure Python 3.11.3经纬度转ECEF（50000000 条）16.043000 秒08.345999 秒14.576452 秒10.386999 秒40.454000 秒
Package: gismath-open3d
Open3D is an open-source library that supports rapid development of software
that deals with 3D data. The Open3D frontend exposes a set of carefully selected
data structures and algorithms in both C++ and Python. The backend is highly
optimized and is set up for parallelization. We welcome contributions from the
open-source community.If you use Open3D in an academic project, please cite our paper:@article{Zhou2018,
    author    = {Qian-Yi Zhou and Jaesik Park and Vladlen Koltun},
    title     = {{Open3D}: {A} Modern Library for {3D} Data Processing},
    journal   = {arXiv:1801.09847},
    year      = {2018},
}Core features3D data structures3D data processing algorithmsScene reconstructionSurface alignment3D visualizationPhysically based rendering (PBR)3D machine learning support with PyTorch and TensorFlowGPU acceleration for core 3D operationsAvailable in C++ and PythonSupported platformsThe package has been tested on:Ubuntu 18.04 and 20.04Windows 10 64-bitmacOS High Sierra and aboveWith Python versions:3.73.83.93.10ResourcesWebsite:www.open3d.orgCode:github.com/isl-org/Open3DDocumentation:www.open3d.org/docsLicense:The MIT license
Package: gismeteoscraper
GisMeteoScraperThis is a python web scraper forgismeteo, it scrapes all html content from webpage.RequirementsGisMeteoScraper uses libraries such as:requestsbs4 (BeautifulSoup4)GisMeteoScraper is also built onpython 3.7.3Usage examplefrom scraper import GisMeteoScraper

gis = GisMeteoScraper("link to gismeteo with town")
weather = gis.scrape_info()OutputGisMeteoScraper'sscrape_info()outputsdict()object, which contains weather on each timeslotas int()(like 0, or 21), for example:timeslot: 
{'gm_activity': {
	    'description': '', 
	    'value': },
 'humidity': '',
   'id': ,
   'moon': {'description': '',
            'sunrise': '',
            'sunset': '',
            'title': ''},
   'percipitation': '',
   'percipitation_in_radius': '',
   'pressure': {
	       'h_pa': '', 
	       'in_hg': '', 
	       'mm_hg_atm': ''},
   'road_condition': '',
   'sun': {
	   'description': '',
           'sunrise': '',
           'sunset': '',
           'title': ''},
   'temperature': {
	       'celsius': '', 
	       'fahrenheit': ''},
   'uvb_index': {
	       'description': '', 
	       'value': },
   'visibility': '',
   'wind': {'direction': '',
            'gust': {
	                'km/h': '', 
	                'm/s': '', 
	                'mi/h': ''},
            'speed': {
	                'km/h': '', 
	                'm/s': '', 
	                'mi/h': ''}}},Note:Description valueslikehumidity[description]may contain text according to your region.
For exampleSW(South-West) in English ->Р®Р’(Р®РіРѕ-Р’РѕСЃС‚РѕРє) in Russian, and so on.But sometimes some field may haveNo datain them. That's probably becausegismeteodidn't show this field, or it was empty. Also, returningdict()may contain_errorfield if there was any.If you have any questions or issues, you can see all issueshere, alternatively you cancreate a new issue
Package: gismidtermdemo
gismidtermdemoPython Boilerplate contains all the boilerplate you need to create a Python package.Free software: MIT licenseDocumentation:https://ChangwhaOh.github.io/gismidtermdemoFeaturesTODOCreditsThis package was created withCookiecutterand thegiswqs/pypackageproject template.
#\x00 \x00g\x00i\x00s\x00m\x00i\x00d\x00t\x00e\x00r\x00m\x00d\x00e\x00m\x00o\x00
\x00
\x00
Package: gisp
Generalized Interval-extended Sequential Pattern miningInstallationcdinterval-sequential-pattern-x.x.x
python3-mpipinstall.Quick Startimportgispa,b,c,d,e,f='a','b','c','d','e','f'sequences=[[(0,{a}),(86400,{a,b,c}),(259200,{a,c})],[(0,{a,d}),(259200,{c})],[(0,{a,e,f}),(172800,{a,b})],]patterns=gisp.mine(sequences=sequences,itemize=lambdai:i//86400,min_support=2,max_interval=172800,)ReferencesHirate, Y., & Yamana, H. (2006). Generalized sequential pattern mining with item intervals. Journal of Computers, 1(3), 51-60.https://doi.org/10.4304/jcp.1.3.51-60
Package: gispandas
GisPandas针对栅格数据进行统计的python包GisPandas是一个为栅格、矢量数据处理、分析以及可视化而开发的Python包。GisPandas为常见栅格矢量数据提供了快速而简洁的gis操作方法，代码简洁、高效、灵活、易用，可以用简洁的代码实现复杂的数据任务。主要功能目前，GisPandas主要提供以下方法：1.栅格数据进行阿尔伯斯等面积投影，根据矢量区划计算面积并导出json。2.种植结构变化，自动对齐，导出栅格数据和统计json。3.gee下载数据的后处理主要包括：栅格数据镶嵌并压缩。4.矢量数据写入四至、中心经纬度等属性，矢量简化，文本矢量化等。5.栅格数据像素对齐、裁剪、重采样、投影、插值、切片、格式转换等。安装pip install gispandas相关链接本项目的github页面：https://github.com/mxhou/gispandas有bug请在这个页面提交：https://github.com/mxhou/gispandas/issues
Package: gisrastertools
gisrastertools===========The ``gisrastertools`` is a python module that provides a fast and flexibletool to work with GIS raster files. It includes tools to- Given a point (lat,lon) find its location in a raster- Aggregate rasters to lower resolutions- Align two rasters of different sizes to common area and size- Get all the geographical information of raster- Create GeoTiff files easily- Load GeoTiff files as masked numpy rastersInstall-------.. code-block:: pythonpip install gisrastertoolsExample Usage-------------.. code-block:: pythonfrom gisrastertools import *# Get info on rasterNDV, xsize, ysize, GeoT, Projection, DataType = get_geo_info(raster)# Load rasterdata = load_tiff(raster)# Find location of point (x,y) on raster, e.g. to extract info at that locationcol, row = map_pixel(x,y,GeoT[1],GeoT[-1], GeoT[0],GeoT[3])value = data[row,col]# Agregate raster by summing over cells in order to increase pixel size by e.g. 10aggregate(data,NDV,(10,10))# Align two rastersdata2 = load_tiff(raster2)(alignedraster_o, alignedraster_a, GeoT_a) = align_rasters(raster, raster2, how=np.mean)
Package: gisrep
GisrepThe command line Github issues reporter, making requests withPyGithuband formatting the results withjinja2.TasterGenerate issue reports and release notes effortlessly with a query for theGithub search
API:$ pip install gisrep
$ gisrep report 'repo:briggySmalls/gisrep label:enhancement milestone:"milestone name"'
- Make project open-source friendly [#2]
- Add custom errors and improve handling [#4]
- Add coverage tests [#14]
- Allow user to provide jinja2 environment configuration [#16]
...FeaturesCustomisable output using either included or custom templatesConnect to private Github reposDocumentationFor guidance on installation and usage, check out thedocumentation.ContributingYou may contribute in several ways like creating new features, fixing
bugs or improving documentation and examples.Find more information in
CONTRIBUTING.rst.
Package: gissue
# Gissue[![Build Status](https://travis-ci.org/Sam-Lane/Gissue.svg?branch=master)](https://travis-ci.org/Sam-Lane/Gissue)[![issues](https://img.shields.io/github/issues-raw/Sam-Lane/Gissue.svg)]()🐙 Github issue manager in the command line## Installing##### clone the repository```bash$ git clone https://github.com/Sam-Lane/Gissue.git```##### install dependencies```bash$ pip install -r requirements.txt```##### link gissue.py to /usr/local/bin```bash$ ln -s $PWD/gissue/gissue.py /usr/local/bin/gissue```## Using Gissue### Authenticating With Github.Before you can use gissue you need to authenticate with GitHub. Gissue uses Githubs personal access tokens to authenticate and it is super simple to get a token. Simply run:```bash$ gissue --generate-token```You will then be prompted for your Github username & password.If your account is secured with oauth this will not work. You will need to go to Github and generate a token in your user settings. Once you have your token run:```bash$ gissue --update-token <your token from github here>```You should now be authenticated with the Github servers.### Getting Issues.#### Inside a directory with a .git folderWhen running gissue inside a directory with a ```.git``` directory it will retrieve all issues on the project you are inside.```bash$ gissue(2)🐛 bug - Error when not conected to internet(1)💉 enhancement - Feature to add issue from cli```#### Inside a directory without a .git folderWhen running gissue in a directory that does not contain a ```.git``` directory it will retrieve all issues assigned to ***you*** on Github.### Adding issuesCreating an issue is easy```bash$ gissue addtitle your issue> my new issue```- gissue will now open your editor defined in the users env variables or default to nano.- Here you can write the body of your issue. Lines starting with # are ignored. Or leave it blank.- Save and quit from the editor and your new issue will be posted to github.```bashmy new issue has been created```### Adding issues with labelsYou can add issues with one or more labels with the optional ```--label``` argument.```bash$ gissue add --label bug```You can specify one or more labels from the following labels[bug, duplicate, enhancement, good first issue, help wanted, invalid, question, hotfix]### Show the issues in the git repostitoryYou can retrieve and print out all the issues in the current repo```bash$ gissue show```#### Additional Show argumentsThere are optional arguments which can be written after the ```show``` command```bash$ gissue show --number [number]```Retrieves and gets the issue with number/id 1 in the repostitory.```bash$ gissue show --state [open, closed, all]```Displays issues with the defined state.## Todo:- [ ] Add testing suite- [ ] Add labels to new issue- [ ] Add comment to existing label- [ ] Close an issue- [ ] Open an issue to github website## Contributors:- [Erik Lange](https://github.com/eriklange)