Saravanan666/pypi-org huggingface dataset:
Package: simple-jwt-decode
Simple JWTWhy?I created this package because I found that I often needed to see the cliams of a JWT token and wether it was expired or not. I didn't need to verify it the signatures. I wanted a package to check if the token was expired, so I could refresh my token or take other actions based off that. Most other packages seemed to require verified signatures or would throw errors if a key was not provided. Just needed a simple package to get the cliams info and if the token was expired. Simple JWT.Table of ContentsSimple JWTWhy?InstallationUsageDecodeExpiredLicenseInstallationpip install simple-jwt-decodeUsageDecodefrom simple_jwt import jwtjwt.decode(token)Should return at dict that looks similar to the following:{'headers': {'alg': 'HS512'}, 'claims': {'exp': 1681337256, 'iat': 1681333656, 'sid': '15307164276', 'aid': '8652598085', 'cid': '50430702', 'type': 'r'}, 'signature': 'jmFoOydgYnL8AqmgnLSFU2l_E6q3pnPHh7ss-g7xKO7tLD_JY8vZR3O-cthNInFzi9G2M3t2boRzMTatlbsZ7Q'}Expiredfrom simple_jwt import jwtexpired = jwt.is_expired(token)if (expired):print('Your JWT token is expired! Oh no! Better get a new one')else:print('Your JWT token is not expired; No need to refesh at the moment')Licensesimple-jwtis distributed under the terms of theMITlicense.
Package: simplejwt-extensions
Extensions for thedjangorestframework-simplejwtlibrary.SettingsAll pre-existing settings for djangorestframework-simplejwt are unchanged. The
following settings are added and can be set in yoursettings.pyfile:# Django project settings.py...SIMPLE_JWT={...'NEW_USER_CALLBACK':None,}NEW_USER_CALLBACKA dot path to a callable that is used if the identifier from the token does
not match a user in the database. Receives the request and the identifier as
arguments. Should return None to fail authentication or a User object to
succeed. Will only be used by the JWTAuthentication backend.BackendsJWTTokenAuthenticationUse this instead of thedjangorestframework-simplejwtJWTTokenAuthenticationbackend to take advantage of features added by
this package.
Package: simple-keyword-clusterer
Simple Keyword ClustererA simple machine learning package to cluster keywords in higher-level groups.Example:"Senior Frontend Engineer" --> "Frontend Engineer""Junior Backend developer" --> "Backend developer"Installationpip install simple_keyword_clustererUsage# import the packagefromsimple_keyword_clustererimportClusterer# read your keywords in listwithopen("../my_keywords.txt","r")asf:data=f.read().splitlines()# instantiate objectclusterer=Clusterer()# apply clusteringdf=clusterer.extract(data)print(df)PerformanceThe algorithm will find the optimal number of clusters automatically based on the best Silhouette Score.You can specify the number of clusters yourself too# instantiate objectclusterer=Clusterer(n_clusters=4)# apply clusteringdf=clusterer.extract(data)For best performance, try to reduce the variance of data by providing the same semantic context(thejob titlekeywords file should remain coherent, in that it shouldn't contain other stuff likegardeningkeywords).If items are clearly separable, the algorithm should still be able to provide a useable output.CustomizationYou can customize the clustering mechanism through the filesblacklist.txtto_normalize.txtIf you notice that the clustering identifies unwanted groups, you can blacklist certain words simply by appending them in the blacklist.txt file.The to_normalize.txt file contains tuples that identify a transformation to apply to the keyword. For instance("back end", "backend), ("front end", "frontend), ("sr", "Senior"), ("jr", "junior")Simply add your tuples to use this functionality.DependenciesScikit-learnPandasMatplotlibSeabornNumpyNLTKTqdmMake sure to download NLTK English stopwords and punctuation with the commandnltk.download("stopwords")nltk.download('punkt')ContactIf you feel like contacting me, do so and send me a mail. You can find my contact information on mywebsite.
Package: simplekivy
SimpleKivypipinstallsimplekivyDo not forget to install:kivykivymdmaster branch is recommendedsimplekivy is built with kivy to write quickly simple codesyou can write kvlang and creat your own classes and widgets as kivy is flexiblethe widgets are added only once via simpleKivyObject + [#kv_widgets]and you can build simplekivy way usings.buildExamples to test:fromsimplekivyimportSimpleKivys=SimpleKivy(title="test app")dp=s.metrics.dpdefpressed(instance):iftext_input.text:label.text=text_input.textbackground="""BoxLayout:canvas:Color:rgba: 0, 0, .9, .7Rectangle:pos: self.possize: self.size"""text_input=s.STextInput(hint_text="type",size_hint=(.5,None),height=dp(60),pos_hint={"center_x":.5})btn=s.SButton(text="click",size_hint=(.4,.2),pos_hint={"center_x":.5,"center_y":.5},on_press=pressed)label=s.SLabel(text="type")# you don't really need to build here and can just pass the list ..# but iam showing you how to get objets using s.build# so you may need it somewhere elsefront=s.build([{"orientation":"vertical"},text_input,(btn,),label])s+[(background,front)]fromsimplekivyimportSimpleKivys=SimpleKivy(title="test app")screen_manager=s.ScreenManager()classScreenI(s.Screen):defleft(self):print("------",self,self.name)screen_manager.transition.direction="right"screen_manager.current=screen_manager.previous()defright(self):print("------",self,self.name)screen_manager.transition.direction="left"screen_manager.current=screen_manager.next()manager={screen_manager:None}scr={}foriinrange(4):left=s.SButton(text="left")right=s.SButton(text="right")screen=ScreenI(name=str(i))left.on_press=screen.leftright.on_press=screen.rightscr[screen]=[{"orientation":"vertical"},s.SLabel(text=str(i)),[left,right]]manager[screen_manager]=scrs+[manager]Hintslist => BoxLayouttuple => FloatLayoutsetmake_apptoFalseif you do not want to run the kivy Apps=SimpleKivy(make_app=False)to reach the main App object dos.myappyou can pass tos.buildalist, tuple, dict, set and kivy lang stringthe more you understand kivy, the more you enjoy its flexibility
Package: simplekml
Simplekml is a python package which enables you to generate KML with as little effort as possible.At the time of making this package nothing was available (at least I could not find anything) that could create KML files easily. You needed a lot of bloated code to even create a simple point. This is understandable because the KML standard is quite extensive, but what if you just work with the simple elements of KML like Document, Folder, Point, LineString and Polygon? This package supports those elements and everything documented in the KML Reference. With simplekml creating a KML file containing a point as simple as:importsimplekmlkml=simplekml.Kml()kml.newpoint(name="Kirstenbosch",coords=[(18.432314,-33.988862)])kml.save("botanicalgarden.kml")See theHomepagefor usage, documentation and a reference.
Package: simplekml2-for-python3
simplekml is a python package which enables you to generate KML with as little effort as possible.Note: This project is a Fork fromhttps://github.com/tjlang/simplekmlbut has support for Python 3.8 and superior.At the time of making this package nothing was available (at least I could not find anything) that could create KML files easily. You needed a lot of bloated code to even create a simple point. This is understandable because the KML standard is quite extensive, but what if you just work with the simple elements of KML like Document, Folder, Point, LineString and Polygon? This package supports those elements and everything documented in the KML Reference. With simplekml creating a KML file containing a point as simple as:import simplekml
kml = simplekml.Kml()
kml.newpoint(name="Kirstenbosch", coords=[(18.432314,-33.988862)])
kml.save("botanicalgarden.kml")See theDocumentationfor usage and reference or visit theHomepagefor more information.
Package: simple-kNN
simple-kNNThis repository is for Continuous Integration of my simple k-Nearest Neighbors (kNN) algorithm to pypi package.For notebook version please visitthis repositoryk-Nearest Neighborsk-Nearest Neighbors, kNN for short, is a very simple but powerful technique used for making predictions. The principle behind kNN is to use“most similar historical examples to the new data.”k-Nearest Neighbors in 4 easy stepsChoose a value forkFind the distance of the new point to each record of training dataGet the k-Nearest NeighborsMaking PredictionsFor classification problem, the new data point belongs to the class that most of the neighbors belong to.For regression problem, the prediction can be average or weighted average of the label of k-Nearest NeighborsFinally, we evaluate the model usingk-Fold Cross Validation techniquek-Fold Cross ValidationThis technique involves randomly dividing the dataset into k-groups or folds of approximately equal size. The first fold is kept for testing and the model is trained on remaining k-1 folds.Installationpip install simple-kNNUsagefrom simple_kNN.distanceMetrics import distanceMetrics
from simple_kNN.kFoldCV import kFoldCV
from simple_kNN.kNNClassifier import kNNClassifierReferencesMymedium article on building kNN from scratchMore info on Cross Validation can be seenherekNNkFold Cross Validation
Package: simplekv
simplekvis an API for very basic key-value stores used for small, frequently
accessed data or large binary blobs. Its basic interface is easy to implement
and it supports a number of backends, including the filesystem, SQLAlchemy,
MongoDB, Redis and Amazon S3/Google Storage.Installationsimplekv isavailable on PyPIand
can be installed throughpip:pip install simplekvor viacondaonconda-forge:conda install -c conda-forge simplekvDocumentationThe documentation for simplekv is available athttps://simplekv.readthedocs.io.Licensesimplekv isMIT licensed.
Package: simple-lama-inpainting
simple-lama-inpaintingSimple pip package for LaMa[1] inpainting.Installationpip install simple-lama-inpaintingUsageCLIsimple_lama <path_to_input_image> <path_to_mask_image> <path_to_output_image>Integration to Your CodeInput formats:np.ndarrayorPIL.Image.Image. (3 channel input image & 1 channel binary mask image where pixels with 255 will be inpainted).Output format:PIL.Image.Imagefromsimple_lama_inpaintingimportSimpleLamafromPILimportImagesimple_lama=SimpleLama()img_path="image.png"mask_path="mask.png"image=Image.open(img_path)mask=Image.open(mask_path)result=simple_lama(image,mask)result.save("inpainted.png")Sources[1] Suvorov, R., Logacheva, E., Mashikhin, A., Remizova, A., Ashukha, A., Silvestrov, A., Kong, N., Goka, H., Park, K., & Lempitsky, V. (2021). Resolution-robust Large Mask Inpainting with Fourier Convolutions. arXiv preprint arXiv:2109.07161.[2]https://github.com/saic-mdal/lama[3]https://github.com/Sanster/lama-cleaner
Package: simplelanscan
simplelanscanRun a simple arp scan of the network and push the results to ElasticSearch.pip install simplelanscanSystemd Hackcp /usr/local/lib/python3.7/dist-packages/scan_lan_clients.service /etc/systemd/system/.
cp /usr/local/lib/python3.7/dist-packages/simplelanscan/config.ini to /usr/local/bin/config.ini
cp /usr/local/lib/python3.7/dist-packages/simplelanscan/index.json to /usr/local/bin/index.json
Package: simplelayout-a10213470
3-simplelayout-package简介本次作业将大家完成的数据生成器进行打包，可供 pip 进行安装，发布到PyPI。同时使用 Sphinx 构建文档，发布到Read the Docs。Sphinxis a powerful documentation generator that has many great features for writing technical documentation including:Generate web pages, printable PDFs, documents for e-readers (ePub), and more all from the same sourcesYou can use reStructuredText or Markdown to write documentationAn extensive system of cross-referencing code and documentationSyntax highlighted code samplesA vibrant ecosystem of first and third-party extensionsPython 生态的文档大都以 Sphinx 进行发布，例如Python 自身的官方文档、Pytorch 文档等等。Read the Docs是一个可以自动化托管 Sphinx 文档的网站。Read the Docs 有上手教程，参考。要求将个人完成的2-simplelayout-generator项目中的simplelayout目录复制到本次作业的src目录下。编写setup.py参考官方文档，与Packaging and distributing projects，正确配置setuptools.setup()，确保能被pip正确安装，要求package 名称设置为simplelayout-github账号名正确包含src/simplelayout这个 packageinstall_requires包含simplelayout的相关依赖正确配置entry_points，使命令simplelayout对应simplelayout/__main__.py中的main()函数参考文档，正确打包参考文档，正确上传到 PyPI根据参考教程，创建docs目录，并创建Sphinx项目。在执行sphinx-quickstart时输入相关信息Sphinx 默认使用 rst 格式（reStructuredText）编写文档，可进行配置使用Markdown进行文档编写。选做：参考配置 autodoc、napoleon 插件，自动生成 simplelayout 中的 docstring API。在本地生成正确的 Sphinx 文档注册Read the Docs，将个人仓库中的文档正确托管将个人项目 PyPI 仓库的链接、read the docs 链接以评论的方式发在Feedback上注意本次作业的在线测试分为以下部分：测试能否正确执行pip install .分值：1 分测试能否正确执行pip install .
simplelayout -h分值：1 分以上测试通过后，会在Feedback中打印相关信息（包括 PyPI 链接，生成图片），但不会对PyPI、Read the Docs自动测试
Package: simplelayout-AnjaZhang
3-simplelayout-package简介本次作业将大家完成的数据生成器进行打包，可供 pip 进行安装，发布到PyPI。同时使用 Sphinx 构建文档，发布到Read the Docs。Sphinxis a powerful documentation generator that has many great features for writing technical documentation including:Generate web pages, printable PDFs, documents for e-readers (ePub), and more all from the same sourcesYou can use reStructuredText or Markdown to write documentationAn extensive system of cross-referencing code and documentationSyntax highlighted code samplesA vibrant ecosystem of first and third-party extensionsPython 生态的文档大都以 Sphinx 进行发布，例如Python 自身的官方文档、Pytorch 文档等等。Read the Docs是一个可以自动化托管 Sphinx 文档的网站。Read the Docs 有上手教程，参考。要求将个人完成的2-simplelayout-generator项目中的simplelayout目录复制到本次作业的src目录下。编写setup.py参考官方文档，与Packaging and distributing projects，正确配置setuptools.setup()，确保能被pip正确安装，要求package 名称设置为simplelayout-github账号名正确包含src/simplelayout这个 packageinstall_requires包含simplelayout的相关依赖正确配置entry_points，使命令simplelayout对应simplelayout/__main__.py中的main()函数参考文档，正确打包参考文档，正确上传到 PyPI根据参考教程，创建docs目录，并创建Sphinx项目。在执行sphinx-quickstart时输入相关信息Sphinx 默认使用 rst 格式（reStructuredText）编写文档，可进行配置使用Markdown进行文档编写。选做：参考配置 autodoc、napoleon 插件，自动生成 simplelayout 中的 docstring API。在本地生成正确的 Sphinx 文档注册Read the Docs，将个人仓库中的文档正确托管将个人项目 PyPI 仓库的链接、read the docs 链接以评论的方式发在Feedback上注意本次作业的在线测试分为以下部分：测试能否正确执行pip install .分值：1 分测试能否正确执行pip install .
simplelayout -h分值：1 分以上测试通过后，会在Feedback中打印相关信息（包括 PyPI 链接，生成图片），但不会对PyPI、Read the Docs自动测试
Package: simplelayout-aoweiie
[![Work in Repl.it](https://classroom.github.com/assets/work-in-replit-14baed9a392b3a25080506f3b7b6d57f295ec2978f6f33ec97e36a161684cbe9.svg)](https://classroom.github.com/online_ide?assignment_repo_id=3611573&assignment_repo_type=AssignmentRepo)
# simplelayout-generator本次作业将实现生成器的数据生成部分，也就是 1-simplelayout-cli 中的主要逻辑部分。同时考察 package、module 的相关知识。## 要求目录结构为` simplelayout │  ├─cli │  │  └─__init__.py │  │  └─cli_generate.py │  ├─generator │  │  └─__init__.py │  │  └─core.py │  │  └─utils.py `符合 PEP 8 代码规范将所需第三方 package 放到requirements.txt中按照TODO `提示完成相应功能点
1. `/simplelayout/cli/cli_generate.py2./simplelayout/cli/__init__.py3./simplelayout/generator/core.py4./simplelayout/generator/utils.py5./simplelayout/__main__.py通过相应单元测试目标：将`simplelayout`以脚本方式运行，接口参数与作业1-simplelayout-CLI一致，即`bash python-msimplelayout--board_grid100--unit_grid10--unit_n3--positions1 15 33--outdirdir1/dir2--file_nameexample `## 参考mat 文件存储 [scipy.io.savemat](https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.savemat.html#scipy.io.savemat)[__main__](https://docs.python.org/3/library/__main__.html)## 评分标准要点        | 分值  |:—————: | :—: |代码规范      |   1   |generate_matrix() |   2   |main()       |   2   |save_matrix()   |   1   |save_fig()     |   1   |make_dir()     |   1   |总分        |   8   |
Package: simplelayout-KomorebiTso
3-simplelayout-package简介本次作业将大家完成的数据生成器进行打包，可供 pip 进行安装，发布到PyPI。同时使用 Sphinx 构建文档，发布到Read the Docs。Sphinxis a powerful documentation generator that has many great features for writing technical documentation including:Generate web pages, printable PDFs, documents for e-readers (ePub), and more all from the same sourcesYou can use reStructuredText or Markdown to write documentationAn extensive system of cross-referencing code and documentationSyntax highlighted code samplesA vibrant ecosystem of first and third-party extensionsPython 生态的文档大都以 Sphinx 进行发布，例如Python 自身的官方文档、Pytorch 文档等等。Read the Docs是一个可以自动化托管 Sphinx 文档的网站。Read the Docs 有上手教程，参考。要求将个人完成的2-simplelayout-generator项目中的simplelayout目录复制到本次作业的src目录下。编写setup.py参考官方文档，与Packaging and distributing projects，正确配置setuptools.setup()，确保能被pip正确安装，要求package 名称设置为simplelayout-github账号名正确包含src/simplelayout这个 packageinstall_requires包含simplelayout的相关依赖正确配置entry_points，使命令simplelayout对应simplelayout/__main__.py中的main()函数参考文档，正确打包参考文档，正确上传到 PyPI根据参考教程，创建docs目录，并创建Sphinx项目。在执行sphinx-quickstart时输入相关信息Sphinx 默认使用 rst 格式（reStructuredText）编写文档，可进行配置使用Markdown进行文档编写。选做：参考配置 autodoc、napoleon 插件，自动生成 simplelayout 中的 docstring API。在本地生成正确的 Sphinx 文档注册Read the Docs，将个人仓库中的文档正确托管将个人项目 PyPI 仓库的链接、read the docs 链接以评论的方式发在Feedback上注意本次作业的在线测试分为以下部分：测试能否正确执行pip install .分值：1 分测试能否正确执行pip install .
simplelayout -h分值：1 分以上测试通过后，会在Feedback中打印相关信息（包括 PyPI 链接，生成图片），但不会对PyPI、Read the Docs自动测试
Package: simplelayoutpiglet94
3-simplelayout-package简介本次作业将大家完成的数据生成器进行打包，可供 pip 进行安装，发布到PyPI。同时使用 Sphinx 构建文档，发布到Read the Docs。Sphinxis a powerful documentation generator that has many great features for writing technical documentation including:Generate web pages, printable PDFs, documents for e-readers (ePub), and more all from the same sourcesYou can use reStructuredText or Markdown to write documentationAn extensive system of cross-referencing code and documentationSyntax highlighted code samplesA vibrant ecosystem of first and third-party extensionsPython 生态的文档大都以 Sphinx 进行发布，例如Python 自身的官方文档、Pytorch 文档等等。Read the Docs是一个可以自动化托管 Sphinx 文档的网站。Read the Docs 有上手教程，参考。要求将个人完成的2-simplelayout-generator项目中的simplelayout目录复制到本次作业的src目录下。编写setup.py参考官方文档，与Packaging and distributing projects，正确配置setuptools.setup()，确保能被pip正确安装，要求package 名称设置为simplelayout-github账号名正确包含src/simplelayout这个 packageinstall_requires包含simplelayout的相关依赖正确配置entry_points，使命令simplelayout对应simplelayout/__main__.py中的main()函数参考文档，正确打包参考文档，正确上传到 PyPI根据参考教程，创建docs目录，并创建Sphinx项目。在执行sphinx-quickstart时输入相关信息Sphinx 默认使用 rst 格式（reStructuredText）编写文档，可进行配置使用Markdown进行文档编写。选做：参考配置 autodoc、napoleon 插件，自动生成 simplelayout 中的 docstring API。在本地生成正确的 Sphinx 文档注册Read the Docs，将个人仓库中的文档正确托管将个人项目 PyPI 仓库的链接、read the docs 链接以评论的方式发在Feedback上注意本次作业的在线测试分为以下部分：测试能否正确执行pip install .分值：1 分测试能否正确执行pip install .
simplelayout -h分值：1 分以上测试通过后，会在Feedback中打印相关信息（包括 PyPI 链接，生成图片），但不会对PyPI、Read the Docs自动测试
Package: simplelayout.portlet.dropzone
Introductionprovides a portlet with a “drop zone” for simplelayout blocks.
you can simply drag a block and drop it into the portlet area.
the block is now shown as portlet.
This package has its own configlet for image sizes.Requires: at least simplelayout.base 2.0rc5Usage / InstallationSee thesimplelayout.basereadme for details on installing simplelayout.Addsimplelayout.portlet.dropzoneto your buildout configuration:[instance]
eggs +=
    simplelayout.portlet.dropzoneInstall the generic import profile.LinksSimplelayout github project repository:https://github.com/4teamwork/simplelayout.basesimplelayout.portlet.dropzone github project repository:https://github.com/4teamwork/simplelayout.portlet.dropzoneIssue tracker:https://github.com/4teamwork/simplelayout.portlet.dropzone/issuesPackage on pypi:http://pypi.python.org/pypi/simplelayout.portlet.dropzoneCopyrightThis package is copyright by4teamwork.simplelayout.portlet.dropzoneis licensed under GNU General Public License, version 2.Changelog1.2.2 (2013-08-14)Add simplelayout.base.listingPortlet.body viewlet to a viewlet order manager
to fix ordering bug when ordering viewlets in relation with this viewlet.
[elioschmutz]1.2.1 (2013-05-24)Reduce empty space in dropzone portlet listing.
[jone]1.2 (2013-04-09)Implement an editable css klass.
[mathias.leimgruber]Code cleanup (remove whitespaces).
[mathias.leimgruber]Implement emptymarker css klass.
[mathias.leimgruber]CSS: remove overflow hidden.
[mathias.leimgruber]Move package to github.
[jone]1.1 (2010-06-09)make simplelayout.base > 2.0rc5 compatible
[mathias.leimgruber]
Package: simplelayout-tang-agui
3-simplelayout-package简介本次作业将大家完成的数据生成器进行打包，可供 pip 进行安装，发布到PyPI。同时使用 Sphinx 构建文档，发布到Read the Docs。Sphinxis a powerful documentation generator that has many great features for writing technical documentation including:Generate web pages, printable PDFs, documents for e-readers (ePub), and more all from the same sourcesYou can use reStructuredText or Markdown to write documentationAn extensive system of cross-referencing code and documentationSyntax highlighted code samplesA vibrant ecosystem of first and third-party extensionsPython 生态的文档大都以 Sphinx 进行发布，例如Python 自身的官方文档、Pytorch 文档等等。Read the Docs是一个可以自动化托管 Sphinx 文档的网站。Read the Docs 有上手教程，参考。要求将个人完成的2-simplelayout-generator项目中的simplelayout目录复制到本次作业的src目录下。编写setup.py参考官方文档，与Packaging and distributing projects，正确配置setuptools.setup()，确保能被pip正确安装，要求package 名称设置为simplelayout-github账号名正确包含src/simplelayout这个 packageinstall_requires包含simplelayout的相关依赖正确配置entry_points，使命令simplelayout对应simplelayout/__main__.py中的main()函数参考文档，正确打包参考文档，正确上传到 PyPI根据参考教程，创建docs目录，并创建Sphinx项目。在执行sphinx-quickstart时输入相关信息Sphinx 默认使用 rst 格式（reStructuredText）编写文档，可进行配置使用Markdown进行文档编写。选做：参考配置 autodoc、napoleon 插件，自动生成 simplelayout 中的 docstring API。在本地生成正确的 Sphinx 文档注册Read the Docs，将个人仓库中的文档正确托管将个人项目 PyPI 仓库的链接、read the docs 链接以评论的方式发在Feedback上注意本次作业的在线测试分为以下部分：测试能否正确执行pip install .分值：1 分测试能否正确执行pip install .
simplelayout -h分值：1 分以上测试通过后，会在Feedback中打印相关信息（包括 PyPI 链接，生成图片），但不会对PyPI、Read the Docs自动测试
Package: simplelayout.types.flowplayerblock
IntroductionThis package extends the default behavior for simplelayout’s file-block.
It changes the default block_view on files with a flowplayer enabled block_viewUsage / InstallationSee thesimplelayout.basereadme for details on installing simplelayout.Addsimplelayout.types.flowplayerblockto your buildout configuration:[instance]
eggs +=
    simplelayout.types.flowplayerblockInstall the generic import profile.LinksSimplelayout github project repository:https://github.com/4teamwork/simplelayout.basesimplelayout.types.flowplayerblock github project repository:https://github.com/4teamwork/simplelayout.types.flowplayerblockIssues:https://github.com/4teamwork/simplelayout.types.flowplayerblock/issuesPypi:http://pypi.python.org/pypi/simplelayout.types.flowplayerblockContinuous integration:https://jenkins.4teamwork.ch/search?q=simplelayout.types.flowplayerblockCopyrightThis package is copyright by4teamwork.simplelayout.types.flowplayerblockis licensed under GNU General Public License, version 2.Changelog1.2.0 (2019-03-15)Drop Plone 4.2 support. [elioschmutz]Fix broken video-url for users with edit-permission on flowplayer-block. [elioschmutz]Drop Plone 4.1 support. [jone]1.1.0 (2014-09-23)Add missing upgrade step from release 1.0.1.
[mathias.leimgruber]Remove dependency on simplelayout.types.common.
[mathias.leimgruber]Add Plone 4.3.x test setup.
[mathias.leimgruber]1.0.1 (2014-06-13)Update Action so it will work with multiple views.
[tschanzt]1.0c1 (2013-03-31)Remove unused action icon.
[Julian Infanger]Add upgrade step to fix File FTI.
[mathias.leimgruber]Do not touch File’s default view and view methods in FTI.
[mathias.leimgruber]1.0b2 (2013-01-30)Fix file link.
[mathias.leimgruber]1.0b1 (2013-01-24)Add tests setup and tests
[mathias.leimgruber]Integration newest collective.flowplayer 3.1.1.
Add upgrade step.
[mathias.leimgruber]Move package to github.
[jone]1.0a2 (2012-03-07)Don’t register locales directory, because there’s none.
[mathias.leimgruber]1.0a1 (2012-03-05)Initial release