Saravanan666/pypi-org huggingface dataset:
Package: show-me
show-meThis is a simple tool to show you history of your Github contributions.$ show-me
 Repo                                  |   ★ |   Total |   Pulls |   Issues |   Commits |   Reviews
---------------------------------------+-----+---------+---------+----------+-----------+-----------
 packit-service/packit                 |  20 |     421 |      47 |       58 |       258 |        58
 ansible-community/ansible-bender      | 105 |     177 |      20 |       33 |       123 |         1
 user-cont/release-bot                 |  36 |      76 |       6 |       21 |        28 |        21
 packit-service/ogr                    |   5 |      68 |      10 |        9 |        32 |        17
 user-cont/colin                       |  30 |      41 |       2 |        1 |        29 |         9
 user-cont/conu                        | 141 |      39 |       3 |        3 |        21 |        12
 TomasTomecek/speaks                   |   2 |      26 |       0 |        1 |        25 |         0
 TomasTomecek/dotfiles                 |   3 |      24 |       0 |        0 |        24 |         0
 packit-service/upsint                 |   1 |      17 |       2 |        6 |         8 |         1
 TomasTomecek/sen                      | 760 |      12 |       1 |        1 |         9 |         1
 TomasTomecek/ansible-role-release-bot |   0 |      11 |       0 |        0 |        11 |         0
 TomasTomecek/pretty-git-prompt        |  33 |       9 |       1 |        1 |         7 |         0
 rebase-helper/rebase-helper           |  30 |       8 |       1 |        5 |         0 |         2
 TomasTomecek/mysterious-keybinds      |   0 |       8 |       0 |        0 |         8 |         0
 prgcont/workshop-ansible-containers   |   4 |       7 |       1 |        0 |         6 |         0Legend (columns in order):Name of the Github repository.Current star count.Total number of contributions (sum of pull requests, issues, commits and reviews).A Count of pull requests created by you.How many issues you've created.Total count of commits you submitted to the repository.A number of reviews you performed.RequirementsPython 3.6+Github API token: you can get it in yoursettings
page.Pass it to show-me via environment variableGITHUB_TOKEN.Installation$ pip3 install --user show-meFeel free to install directly from Github:$ pip3 install --user git+https://github.com/TomasTomecek/show-meUsage$ GITHUB_TOKEN=my-token show-meYou can configure show-me via CLI options:Usage: show-me [OPTIONS]

  Show me my Github contributions!

Options:
  -n, --lines INTEGER     Print first N lines.  [default: 15]
  --cache-file-path PATH  Path to the cache file.  [default:
                          /home/tt/.cache/show-me.json]
  --load-from-cache       Don't query Github and load from cache.
  --save-to-cache         Query Github and save response to a file (to save
                          time and bandwidth).
  --debug                 Show debug logs.
  --start-year INTEGER    Start counting the contributions in the selected
                          year.  [default: 2019]
  -h, --help              Show this message and exit.Have fun!
Package: showmethetypes
Show Me The Types (SMTT)This is a package designed to provide a single utility:showing you the types!If you frequently end up handling lists of tuples of tensors, lists of tensors, nested lists and tuples, or other similarly convoluted structures, SMTT might be able to make your life just a bit easier. Instead of thinking about needinglen,.shape,.size(), or printing out the structure and parsing the brackets and parens, you can just dott(data), and get an instant overview of the structure.fromshowmethetypesimportSMTTimporttorchtt=SMTT()structure=[(torch.randn(2,3),torch.randn(500,5,128))for_inrange(5)]tt(structure)list (5)
    |__tuple
        |__Tensor (dtype: torch.float32)
        |   |  (device: cpu)
        |   |__dim_0 (2)
        |   |__dim_1 (3)
        |__Tensor (dtype: torch.float32)
            |  (device: cpu)
            |__dim_0 (500)
            |__dim_1 (5)
            |__dim_2 (128)InstallationThe package isn't yet available on pip, so a local install is the way.gitclonehttps://github.com/InfiniteSwerve/ShowMeTheTypes.gitcdShowMeTheTypes
pipinstall-e.BehaviorSMTT will by default display the type for whatever you pass it, and traverse all nested types if the passed object has a__getitem__method.The default behavior is to iterate acrossallsubtypes, which means it will print out everything the object contains. Some types, like lists, are usually monomorphic, so SMTT will assume monomorphism and only print out the nested structure in the first item of the list.SMTT will also infer your current imports and use the specific handlers available for any libraries in yourlocals().CoverageSMTT is quite fresh, and so the current coverage only includes objects that I've needed to work with directly.
If you feel sad about any missing types,feel free to raise an issue requesting it, or even make a PR!Creating new handlers for types is quite straightforward.TestingYou can run the tests withpytest --nbval.
Since the core functionality doesn't change, the testing focus is on regression tests. For this we use pytest and nbval, using the cell outputs of jupyter notebooks to make sure the untouched cell outputs haven't changed.The libraries with any coverage are listed here, and you can find detailed coverage information inhandlers.py.LibraryTotal CoveragestdlibNoPytorchNoNumpyNo
Package: showme-tree
showme-treeshowme-treeis a command-line tool that prints the folder and file structure of your VSCode project, excluding files and folders specified in.gitignore.InstallationYou can installshowme-treeusing pip:pipinstallshowme-treeUsageRun the following command in a Python Virtual Environment to display the folder and file structure of your VSCode project:showme-treeThe command works best in a version-controlled Git project. If you are not working a Git project, you'll be asked to manually input the path to the project root directory.Example Output:|---showme-folder-structure/
    |---LICENSE
    |---dist/
    |---showme-tree/
        |---__init__.py
        |---main.py
    |---README.md
    |---setup.py
    |---.gitignore
    |---myenv/
    |---.git/
Package: showml
A Python package of Machine Learning Algorithms implemented from scratch.The aim of this package is to present the working behind fundamental Machine Learning algorithms in a transparent and modular way.NOTE:The implementations of these algorithms are not thoroughly optimized for high computational efficiency.📝 Table of ContentsGetting StartedContentsContributingLicense🏁 Getting StartedTo install the package directly from PyPi:$ pip install showmlTo clone the repository and view the source files:$ git clone https://github.com/hasnainroopawalla/ShowML.git
$ cd ShowML
$ pip install -r requirements.txtRemember to addShowML/to thePYTHONPATHenvironment variable before using locally:-For Windows:$ set PYTHONPATH=%PYTHONPATH%;<path-to-directory>\ShowMLFor MacOS:$ export PYTHONPATH=/<path-to-directory>/ShowML:$PYTHONPATHFor Linux:$ export PYTHONPATH="${PYTHONPATH}:/<path-to-directory>/ShowML"Check out:showml/examples/📦 ContentsShowMLcurrently includes the following content, however, this repository will continue to expand in order to include implementations of many more Machine Learning Algorithms.ModelsLinearLinear Regression (showml.linear_model.regression.LinearRegression)Logistic Regression (showml.linear_model.regression.LogisticRegression)Non-LinearSequential (showml.deep_learning.model.Sequential)Deep LearningLayersDense (showml.deep_learning.layers.Dense)ActivationsSigmoid (showml.deep_learning.activations.Sigmoid)ReLu (showml.deep_learning.activations.Relu)Softmax (showml.deep_learning.activations.Softmax)OptimizersStochastic/Batch/Mini-Batch Gradient Descent (showml.optimizers.SGD)Adaptive Gradient (showml.optimizers.AdaGrad)Root Mean Squared Propagation (showml.optimizers.RMSProp)Loss FunctionsMean Squared Error (showml.losses.MeanSquaredError)Binary Cross Entropy (showml.losses.BinaryCrossEntropy)Categorical Cross Entropy (showml.losses.CrossEntropy)✏️ ContributingForkthe repository.Commit and push your changes to your own branch.Install and run the necessary housekeeping dependencies (pre-commit,mypyandpytest):$ pip install pre-commit mypy pytestRun these housekeeping checks locally and make sure all of them succeed (required for the CI to pass):-$ pre-commit run -a
$ mypy .
$ pytestOpen a Pull Request and I'll review it.📄 LicenseThis project is licensed under the MIT License - see theLICENSEfile for details.
Package: show-puntigam
![VIF vehicle](img/vehicle.jpg)# show-puntigam![VIF vehicle](img/show_environment.png)#### Short Description
Python packages to evaluate urban lidar datasets:Simulation of synthetic movements on lidar datasets (Planned)Machine Learning, Deep Learning on LIDAR datasets (Planned)Evaluation of Lidar datasets (Planned)Use for ROS, Autoware (Planned)#### Installationpip install show-puntigam#### Documentation[Contribution guidelines for this project](docs/CONTRIBUTING.md)[Planned route](docs/ROUTE.md)#### PublicationsPlease cite the following papers, if you use the publications:
* Hartmann et. al. “Urban environments for synthetic movement generation” 2020 (to be published)
* … (TODO)#### VIF Team:
* Joachim Hillebrand
* Michael Hartmann
* Markus Schratter#### Contact
* Michael Hartmann (michael.hartmann@v2c2.at)#### Acknowledgement
SHOW is co-funded by the EU under the H2020 Research and Innovation Programme (grant agreement No 875530). Package is provided by Virtual Vehicle Research GmbH. Virtual Vehicle Research Team: Joachim Hillebrand, Michael Hartmann, Markus Schratter’
Package: showpyfigfonts
showpyfigfontsPreview📑 INDEX⚙️ Installation✅ Setup❓ How to use?⚙️ Installation1. Install Python & Git:For Windows:wingetinstallPython.Python.3.12

wingetinstallGit.GitFor Linux:sudoapt-getupdate

sudoapt-getinstall-ygitpython3For macOS:brewinstallpythongitFor Termux:aptupdate

aptinstallgitpython-y✅ SetupAutomatic SetuppipinstallshowpyfigfontsManual Setup1. Download repository:gitclonehttps://github.com/imegeek/showpyfigfonts2. Change Directory:cdshowpyfigfonts3. Run setup.py:Linux/macOS/Termux:pythonsetup.pyinstallWindows:pythonsetup.pyinstall❓ How to use?Run this command:showpyfigfontsCommand Line Help:usage:showpyfigfonts[-h][--fontname][text]positionalarguments:textRenderfontsbytext.



options:-h,--helpshowthishelpmessageandexit--fontname,-fnameRenderspecificfontbyname.Command Line Usage:Show help menu:showpyfigfonts--helpPrint custom text for all fonts:showpyfigfonts'hello'Print specific font:showpyfigfonts-fmono12Print custom text with specific font:showpyfigfonts-fmono12'hello'
Package: showroompodcast
SHOWROOM PodcastAutomatic archiver for SHOWROOM live which is listed by YAML file.AdvantageWaits for on live, automatic archivingArchives multiple lives at same timeWaits for on live, automatic archivingProcess waits for rooms on live. When live are started, process will automatically start archiving. Even if live was suddenly start during you are busy, you will be free from non-essential and non-urgent call, you can concentrate your task.Archives multiple lives at same timeIt's possible to archive multiple lives at same time as much as CPU resource is supplied. You can check each content in order without watch at same time.RequirementFFmpegQuickstart1. Installpip install showroompodcast2. Createconfig.yml# How much numbers of live record at same time.number_process:?# List up tracking room ID to track for archive.list_room_id:-??????-??????-??????-??????-??????# When set, process will report to Slack when process down for any reason.slack:bot_token:xoxb-123456789012-345678901234-567890abcdefghijklmnopqrchannel:ABCDEFGHI3. Createoutputdirectorymkdir outputSo far, the directory structure looks like this:your-workspace/
+----output/
+----config.yml4. Execute command to runshowroom-podcastThen, process will automatically archive live intooutputdirectory when live has started.Note that the process consumes packets even while waiting to track room whether on live or not.
Be ensure network especially when using it on a mobile line.5. When shutdown process, sendCtrl + Cin terminal
Package: showroom-recorder
showroom-recorderA Script for Recording Showroom Streaming VideoInstallationInstall the python3.Install requirements.pipinstallshowroom-recorderInstall ffmpegsudoaptinstallffmpegInstall fontfont/msgothic.ttc. (If you need to use subtitle files)UsageDirectly input the member room name as a parameter:showroom-recorder-iLOVE_MAIKA_SASAKIOr modify the rooms.ini file，and run without parameter.The configuration file will be automatically created on the first run.The SHOWROOM live address is "https://www.showroom-live.com/ROOM_URL_KEY".Please copy the last segment of the room name and paste it into the rooms.ini file.Enter multiple room names separated by line breaks and use "#" for comments.showroom-recorderThe recorded video will be stored in the save folder.And the comments will be saved in the comments folder as subtitles.
Package: show-time
Life is generally simple and boring for science and engineering students
who keep running between dormitory, laboratory and teaching building. In
order to add somecultural presenceon the life, showtime is
designed, which is a tool based on network spider technology to crawl
information for numerous shows such as dramas and concerts.FeatureSupport multiple types of information sourceswebsite source:☒China Ticket☒Beihang Sunrise Concert Hall☐永乐票务☒PKU Hall☒MengJingHui website☐北京国际青年戏剧节APP source:☐ 大麦applet source:☐ 音乐节RSSStand-alone parallel supportWhen the program is executing, several processes will be launched.
Each process processes one data source, and at the same time use of
multiple threads to handle multiple requests in a process. For some
exceptional sources(such asMengJingHuiWebsite), more
fine-grained coroutines is implemented.Simple local storage and loading capabilities by using protobufsyntax="proto3";messageShowList{stringsource=1;repeatedShowshows=2;}messageShow{stringname=1;stringurl=2;repeatedEventevents=3;map<string,string>extra_fields=4;}messageEvent{stringdate=1;// YYYY-mm-ddstringtime=2;// HH:MMstringurl=3;// http-url or https-urlstringcity=4;// 34个省级行政区域以及一线，新一线和二线城市，不带'省'和'市'等后缀，2-3个字stringaddress=5;Priceprices=6;map<string,string>extra_fields=7;}messagePrice{repeatedfloatin_sale=1;repeatedfloatsold_out=2;}RequirementsPython3.5+InstallationInstall with pippipinstallshow-timeInstall from sourcepipinstallwheelpythonsetup.pybdist_wheelpipinstalldist/show-time-0.0.5-py3-none-any.whlUsageimportosimportloggingimportshowtimefromshowtime.showspider_factoryimportShowSpiderFactorydefprint_info(show_list,rough=True):forshowinshow_list:print(show)ifrough:continueforeinshow:print(e)defload_file(filename):returnshowtime.show_type.ShowList.load(filename)if__name__=='__main__':logging.basicConfig(level=logging.INFO)data_path='data'ifnotos.path.exists(data_path):os.makedirs(data_path)# 获取showspider的工厂实例spider_factory=ShowSpiderFactory()# 获取目前已经支持的资源列表support_sources=spider_factory.support_sources()# 多进程获取所有资源对应spider的show_list，同时在每个spider内部开线程池total_show_list=spider_factory.get_total_show_list(support_sources,is_parallel=True)forshow_listintotal_show_list:# 将结果存储到本地show_list.save('%s/%s.data'%(data_path,show_list.source))IssueIf you encounter problems, please describe the problem recurrence
process in issue.TODO为了项目的可持续发展，需要尽快完善注释和文档（资源种类太多，且每种资源的一些设定还是异构的）。支持尚未支持的Web信息来源频繁爬取数据，服务器拒绝访问&&偶尔会崩思考AppSpider的基类架构思考AppletSpider的基类架构支持北航晨兴音乐厅的线上预定
Package: showtools
showtoolsThis tool displays information about disks or network cards in a nice
ASCII table format on the command line.All network interfaces and some of their propertiesAll storage devices (hdd/sdd) and some of their properties (SMART)Examples:Show information about network interfaces:Show SMART information about disks:PS = Pending SectorRS = Reallocated SectorRSE = Reallocated Sector EventThis is the output for a 24-drive NAS. You can zoom in by clicking on the image.InstallationShowtools is available through pypi.
Just enter:pip install showtoolsManual install:clone this repository with git clonehttps://github.com/louwrentius/showtoolscd showtoolspython3 setup.py installinstall hdparm, smartmontools and ethtoolapt install hdparm smartmontools ethtoolUsage:usage: show [-h] [-E] [-g] [-a] [-m] [-k] [-S] [-D] [-e] [-s] [-z] [-f] [-c] [-p] [-w] [-o] [-t] [-H] [-P] [-r] [-R] [-C] [-u] [-n] [-l] [-4] [-6] [-M] [-T] [-d] [-F] {disk,net}

Show detailed disk|net device information in ASCII table format

positional arguments:
  {disk,net}            Show disk information

optional arguments:
  -h, --help            show this help message and exit

generic_settings:
  Options that apply for all device types.

  -E, --transparent     Disable table formatting (no lines)
  -g, --noheader        Disable table header (in transparent mode)
  -a, --all-opts        show all information

storage:
  Generic options for storage devices

  -m, --model           device model
  -k, --type            device type (HDD/SDD)
  -S, --serial          device serial number
  -D, --state           drive power status (active/standby)
  -e, --apm             Advanced Power Mode
  -s, --size            device size in Gigabytes
  -z, --speed           SATA Link in Gbps
  -f, --firmware        device firmware version
  -c, --controller      controller to which device is connected
  -p, --pcipath         /dev/disk/by-path/ ID of the device
  -w, --wwn             device World Wide Name
  -o, --scsi            /dev/by-id/scsi
  -t, --temp            temperature in Celcius
  -H, --hours           power on hours
  -P, --pending         pending sector count
  -r, --reallocated     reallocated sector count
  -R, --reallocatedevent
                        reallocated sector event count
  -C, --crc             CRC error
  -u, --startstop       spin up/down
  -n, --park            head parking

network:
  Available options for network devices

  -l, --link            network card link status
  -4, --ipv4            IPv4 address
  -6, --ipv6            IPv6 address
  -M, --mac             hardware / MAC address
  -T, --show-type       network card type
  -d, --driver          driver module
  -F, --firmware-version
                        firmware version
Package: show-weather
A small Python script that can tell you the weather of any city/town anywhere in the world over the command line.Weather data is accessed over the internet using theOpenWeatherAPI. You'll need an API key, which you can get by simplysigining upto their website, signing in, and then going to "My API keys" under your profile.The program has a proper command line interface with optional flags, help messages and so forth. Runshow_weather --helpto see more.Install% pip install show-weatherExampleTo get the current weather in Toronto, for example, run% show_weather <API_KEY> torontowhich outputs to the terminal--------------------------------------------------

      Place:    Toronto
    Country:    Canada
Temperature:    -10.6°C

--------------------------------------------------
Package: showy
showyshowyis a helper for matplotlib subplots.Usageshowycan be used in a script-like manner.Let's first define the layout:layout={"title":"Example","graphs":[{"curves":[{"var":"sine_10"}],"x_var":"time","y_label":"Fifi [mol/m³/s]","x_label":"Time [s]","title":"Sinus of frequency *"},{"curves":[{"var":"sine_30"}],"x_var":"time","y_label":"Riri [Hz]","x_label":"Time [s]","title":"Second graph"},{"curves":[{"var":"sine_100","legend":"origin",},{"var":"sine_100p1","legend":"shifted",}],"x_var":"time","y_label":"Loulou [cow/mug]","x_label":"Time [s]","title":"Third graphg"}],"figure_structure":[3,1],"figure_dpi":92.6}Now, let's create dummy data:importnumpyasnpdata=dict()data["time"]=np.linspace(0,0.1,num=256)data["sine_10"]=np.cos(data["time"]*10*2*np.pi)data["sine_30"]=np.cos(data["time"]*30*2*np.pi)data["sine_100"]=np.cos(data["time"]*100*2*np.pi)data["sine_100p1"]=1.+np.cos(data["time"]*100*2*np.pi)Finally, we just have to display it:fromshowyimportshowyshowy(layout,data)Tip: Define the layout in ayamlorjsonfile in order to it across applications.If you define it in ayamlfile, then load it with (need to installpyyaml:importyamlwithopen(filename,'r')asfile:layout=yaml.load(file,Loader=yaml.SafeLoader)If you define it in ajsonfile, then load it with:importjsonwithopen(filename,'r')asfile:layout=json.load(filename)Using wildcard*A neat feature ofshowyis the wild card usage to simplify layout creation. For example, if you have 3 variables calledvar_1,var_2,var_3, you only need to define the graph layout for a variablevar_*.The example above reduces to:layout={"title":"Example","graphs":[{"curves":[{"var":"sine_*"}],"x_var":"time","y_label":"Sine [mol/m³/s]","x_label":"Time [s]","title":"Sinus of frequency *"}],"figure_structure":[3,3],"figure_dpi":92.6}json-schema standardshowyis based on a json-schema standard definedhere. Checkthisout to learn more about the usage of the json-schema standard. (For your daily usage ofshowyyou just need to ensure your layout respects the schema)
Package: showyourwork
Welcome toshowyourwork!, a workflow management tool for open source scientific articles. If you want to make your research articlereproducible,extensible,transparent, orjust downright awesome, you’ve found the right tool.showyourwork!automates your entire workflow, packaging it into a self-contained recipe that anyone can follow and—at the click of a button—use to reproduce your results.Please check out thedocumentationfor more information about this project. Thequickstart tutorialshould get you up and running fairly quickly with a simple workflow. Dig deeper by reading about thecommand line interface, therecommended project layout, the workflowconfiguration file, and details about theintegration with LaTeX. You can also check out a list of example projects that useshowyourwork!here.showyourwork!is a work in progress, so please look over theissues pageif you think you’ve spotted a bug, and feel free toraise a new issueif needed! Community contributions are also most welcome. Make sure to check out our newdiscussion board!
Package: shp2postgis
shp2postgisMódulo python para converter arquivos no padrão shapefile da esri para arquivos sql que podem ser importados em bancos de dados postgresql/postgis.Python module to convert esri shapefile format to sql files that can be imported into postgresql/postgis database.Uso / Usageprimeiro é necessário instalar as dependênciasFirst install dependenciespip3install-rrequirements.txtpython3 na linha de comando / on command lineUso detalhado pode ser visto usando:Details about use are shown using:python3-mshp2postgis-hou / orpython3-mshp2postgis--helpPara usar como biblioteca / as a libraryfromshp2postgis.Shp2PostgisimportShp2Postgisprocess=Shps2Postgis(dictInput,outputPath,schema,encoding,verbose,columnsToLower)process.run()Parâmetros / parametersdictInput:dicionário python em que cada item tem chave sendo o nome da camada e valor sendo o caminho para o arquivo shapefilepython dictionary in which each item has a key being the layer name and value being the path to the shapefile</code></pre></blockquote><p>dictInput={"airport":"/home/user/SHP/AIRPORT",}</p><pre><code>*>outputPath:>>diretórioondeserágravadooarquivosql.>>>folderwherethesqlfilewillbesaved.>>```pythonoutputPath="/home/user/SQL/"schema:schema do banco de dados em que o sql será carregado.database schema where sql file will be loaded.</code></pre></blockquote><p>schema="public"</p><pre><code>*>encoding:>>conjuntodecaracteresdoshapefile.>>>charsetoftheshapefile.>>```pythonencoding="latin1"verbose:deixe com valor False.leave False.</code></pre></blockquote><p>verbose=False</p><pre><code>*>columnsToLower:>>Fazcomqueosnomesdascolunasfiquememletraminúscula.>>>Itmakesthenameofeachcolumntobelowercase.>>```pythoncolumnsToLower=True