Saravanan666/pypi-org huggingface dataset:
Package: vapor-steam
Vapor: Steam Proton Compatibility CheckerVapor is a Python package built onTextualwhich offers a simple Terminal User Interface for checking ProtonDB compatibility ratings of games in a Steam user's library. The tool seamlessly integrates Steam and ProtonDB APIs to provide insightful compatibility information.Installationpipxis a great tool for installing Python packages in an isolated environment. If wanting to install viapipx, just runpipxinstallvapor-steamThis project can also be installed with pip normally withpip3installvapor-steamArch users can install the package from the AUR with your favorite AUR helper:paru-Spython-vapor-steamOr manually withmakepkg:gitclonehttps://aur.archlinux.org/python-vapor-steam.git&&cdpython-vapor-steam
makepkg-siQuick StartObtain a Steam API Key: Get your Steam API key byfilling out this form.Run the Program: Run vapor with thevaporcommand. It can also be ran without installation, withpython3 vapor/main.py.FeaturesUser Library Analysis: Fetches and displays game compatibility ratings from ProtonDB for a specified Steam user.User Average Compatibility: Calculates and presents the average game compatibility for the user's library.Automatic Steam ID Resolution: Vapor automatically resolves the given Steam ID, so you can use either your vanity name or your 64-bit Steam ID.Automatic Steam URL Detection: Directly paste a Steam user profile URL, likehttps://steamcommunity.com/id/<user>orhttps://steamcommunity.com/profiles/<user>into the "User ID" box and it will be detected and parsed correctly.AreWeAntiCheatYet Integration: Integartion with Are We Anti-Cheat Yet? to show the anti-cheat compatibility status of your games.RequirementsThis package is built on top of textual and aiohttp, and uses poetry to manage dependencies. To install dependencies locally, just runpoetry installin the repository's directory.Private Steam Account ErrorThis error occurs if your game details are set to private in your privacy settings. First, double check that you're using the correct Steam ID or vanity URL. This is different from your display name. To make sure, you can directly copy your profile URL into Vapor and your Steam ID will be extracted. Your profile URL will look likehttps://steamcommunity.com/id/<vanity_name>orhttps://steamcommunity.com/profiles/<steam_id>.If you've double checked that your account information is correct, please complete the following steps to fix this issue:From Steam, click the user dropdown and select "View my profile"Click the "Edit Profile" buttonClick the "Privacy Settings" tabSet "Game details" to PublicUncheck the Always keep my total playtime private optionContributingContributions are welcomed! For bug fixes, improvements, or feature requests, feel free to open an issue or pull request.
Package: vaporwavely
Convert your text in an aesthetical text, or generate nostalgic 1999
paragraphs with vaporipsumHow to use 👾vaporipsum: Generate a random text, likeLorem
Ipsum, but more nostalgic and aestheticfromvaporwavelyimportvaporipsumvaporipsum(4)# it generates 4 paragraphs of random textvaporize: Convert your text from thisHello Worldto thisＨｅｌｌｏ Ｗｏｒｌｄfromvaporwavelyimportvaporizemystring="Hi Owanesh"vaporize(mystring)# Ｈｉ ＯｗａｎｅｓｈUse combo for an ａｅｓｔｈｅｔｉｃ results 🦄Vaporize your vaporipsumfromvaporwavelyimportvaporize,vaporipsumvaporize(vaporipsum(4))Do it upper```py from vaporwavely import vaporizevaporize(‘get me upper and vaporized’).upper() ``` ＧＥＴ ＭＥ
ＵＰＰＥＲ ＡＮＤ ＶＡＰＯＲＩＺＥＤContribute 🎖Ｒｅａｌｌｙ ｍａｎ?First of all thanks if you want help me. Below there are requirements
and steps for testingpip install -r requirements-dev.txt
py.test --cov=vaporwavely testsCredits 🙏Thanks toTristanAGfor
Vaporipsum idea
Package: vapps
Vapps CLIThis product allows users to use the command line to call VA master API functions by using simple commands.Installation` pip install vapps `UsageThe first time you use the command, it will prompt you for a username, password and the URL of Your VA master.# vapps providers list
Could not find a va_master configuration - either the --load-conf path is incorrect, or a configuration has not been generated yet. Please answer the following prompts :
Enter the va_master username : admin
Enter the va_master password : admin
Enter the VA master url. Include the http:// and the port, example : https://127.0.0.1:443
VA master url : https://127.0.0.1:443

[   {   'driver_name': u'vmware',
        'location': u'va_master',
        'provider_name': u'va-vmware'}]After this, a config file is generated which will use the entered credentials.# vapps apps list available

[   {   u'location': u'va_master',
        u'provider_name': u'va-vmware',
        u'provider_usage': {   u'used_cpus': 95.0,
                               u'used_disk': 134.41,
                               u'used_ram': 0.01,
                               u'used_servers': 9},
        u'servers': [   {   u'hostname': u'server_hostname',
                            u'icon': u'fa-server',
                            u'ip': None,
                            u'provider': u'va-vmware',
                            u'size': u'va-small',
                            ...
                        }
                    ]
    }
]Available Commandsproviderslist - Prints a list of all providers and their name, location and driver name.appslistavailable - Prints a list of all apps.
running - Prints a list of all running apps. #Not yet implemented, also returns all apps.directory #Not yet implementedserviceslist - Prints all consul servicesok - Prints all services which returned with status “passing”
critical - Prints all services which returned with status “critical”vpnlist - Lists all VPN users
status - Returns the status of VPN users
add - Creates a new VPN user. With –username, the user will be created with this username. Examplevapps vpn add--usernamenew_vpn_userget-cert - Prints the VPN certificate for the user. With –username, the user for which the certificate is retrieved. Examplevapps vpnget-cert--usernamesome_vpn_user
Package: var
"The search for appropriate risk measuring methodologies has been followed by increased financial uncertainty worldwide. Financial
turmoil and the increased volatility of financial markets have induced the design and development of more sophisticated tools for
measuring and forecasting risk. The most well known risk measure is value at risk (VaR), which is defined as the maximum loss over
a targeted horizon for a given level of confidence. In other words, it is an estimation of the tails of the empirical distribution
of financial losses. It can be used in all types of financial risk
measurement" (Julija Cerović Smolovic, 2017).In addition to Value at Risk, the package includes Conditional Value at Risk (Expected Shortfall or CVaR) and Conditional Drawdown
at Risk (CDaR).
Package: varana
VaranaThis module determines the variability of stars through analyzing their time series.InstallationTo install the package please type from the command line:$sudopip3installvaranaUsageThis module is the part of a larger tool -variability-analyser. Despite of that it can be used separately. The module is divided into smaller scripts which can be called independently. You can use the following scripts:detrend.pytrim.pyfreq_comb.pyfit.pyphase.pyplt_pdgrm.pyTo see what they do please call them with the-hoption, for example:$detrend.py-hLicenseThevaranamodule is licensed under theMIT license.
Package: varAnimate
[?] need tutorial the modul?1.Anim Input: ( Suport py2&py3 )>>> # importing modules
>>> from var_animate import animinput # importing the modul
>>> inpt = animinput()>>> # input plus
>>> inpt.plus('the text')
>>> # output?: [+] the text: # user input in here>>> # input ask
>>> inpt.ask('Username?') # if your ask user ex: Username?
>>> # output?: [?] Username?: # user input in here>>> # input danger
>>> inpt.danger('Exception enter to loop the progam!') # if user excepting input
>>> # output?: [!] Exception enter to loop the progam!: # user input in here2.Coloring: ( Suport py2&py3 )>>> from var_animate import color # importing the modul
>>> color = color()
>>> # color.show('ColorName...') # showing the color with name>>> # what list the color?:
>>> #     Default color     #
>>> color.show('red') # Red color
>>> color.show('yellow') # Yellow color
>>> color.show('green') # Gren color
>>> color.show('blue') # Blue color
>>> color.show('magenta') # Magenta color
>>> color.show('cyan') # Cyan color
>>> color.show('white') # White color
>>> color.show('black') # Black color
>>> color.show('default') # Default color
>>> color.show('reset') # reset color>>> #      Light color      #
>>> color.show('lightGray') # lightGray color
>>> color.show('darkGray') # darkGray color
>>> color.show('lightRed') # lightRed color
>>> color.show('lightYellow') # lightYellow color
>>> color.show('lightGreen') # lightGreen color
>>> color.show('lightBlue') # lightBlue color
>>> color.show('lightMagenta') # lightMagenta color
>>> color.show('lightCyan') # lightCyan color3.Anim Variable alert true&false: ( Suport py2&py3 )>>> from var_animate import animvar # importing the modul
>>> var = animvar()>>> # if the condition true then return:
>>> true = var.true('True!')
>>> print(true) # printing var.true()>>> # if the condition false then return:
>>> false = var.false('False!')
>>> print(false) # printing var.false()4.Make the bannner script: ( Suport py2&py3 )>>> import var_animate # importing the modul
>>> banner = var_animate.banner('TheScriptName','AuthorName','ScriptVersion') # Make the banner
>>> print(banner) # printing the banner>>> # Ex: banner = var_animate.banner('Var_Animate','Dst_207','1.0')
>>> # Ex: print(banner)5.Loading: ( Suport py2&py3 )>>> import var_animate
>>> var_animate.loading('Loading',delay)
>>> # Ex: var_animate.loading('Loading',3)Example script with modules var_animate:
github:https://github.com/DH4CK1/var_animate_calculatorHome-page: UNKNOWN
Author: Dst_207
Author-email:cyberdhack@gmail.comLicense: MIT
Description: UNKNOWN
Keywords: animate,anim python,animate python
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Package: vara-pygelf
vara pygelfDescriptionPython logging module wrapper forGELF formatsyslog levelUsagefrom vara_pygelf import logger

logger.debug("test")extra field at log event (note: gelf doesn't allow "id" field)logger.debug("test", {"project_id": 2567})
logger.debug("test", {"name": "abc"})Set log threshold:logger.set_level("INFO")add/remove extra fields for all log msglogger.add_fields({"b": "122" })
logger.remove_fields(["b"])Log LevelsLevel nameSeverity valueLogger methodEMERGENCY0logger.emergALERT1logger.alertCRITICAL2logger.critERROR3logger.errWARNING4logger.warningNOTICE5logger.noticeINFO6logger.infoDEBUG7logger.debugTODOUnit tests
Package: varbert
VarBERT APIThe VarBERT API is a Python library to access and use the latest models from the S&P 2024 work""Len or index or count, anything but v1": Predicting Variable Names in Decompilation Output with Transfer Learning", featuring VarBERT.
VarBERT is a BERT-based model that predicts variable names for decompiled code.
To train new models and understand the pipeline, see theVarBERT paper repo.
Specialized models exist for IDA Pro and Ghidra, but can be used on any decompiler.The main focus of this project is to provide an library API and CLI access to VarBERT models, but, it has
been designed to be used in decompiler directly using theDAILAproject.
DAILA comes with the VarBERT API bundled, so you do not need to install VarBERT if you are using DAILA.Installpip3 install varbert && varbert --download-modelsThis will install the VarBERT API library and download the models to be stored inside the VarBERT package.
You can optionally provide a decompiler name to--download-modelsto only download the models for that decompiler.UsageThe VarBERT API can be used in three ways:From the CLI, directly on decompiled text (without an attached decompiler)As a scripting libraryAs a decompiler plugin (usingDALIA)Command Line (without running a decompiler)Note that VarBERT runs better when it is directly hooked up to a decompiler because it can use additional semantic information that the decompiler knows about the decompiled code.
However, we do have the ability to run VarBERT without a running decompiler, only operating on the text from the command line.Running the following will cause VarBERT to read a function from standard input and output the function with predicted variable names to standard out:varbert--predict--decompileridaYou can select different decompilers that will use different models that are trained on the different decompilers.
If you do not specify a decompiler, the default is IDA Pro.
As an example, you can also give no decompiler:echo"__int64 sub_400664(char *a1,char *a2)\n {}"|varbert-pScriptingWithout DecompilerfromvarbertimportVariableRenamingAPIapi=VariableRenamingAPI(decompiler_name="ida",use_decompiler=False)new_names,new_code=api.predict_variable_names(decompilation_text="__int64 sub_400664(char *a1,char *a2)\n{}",use_decompiler=False)print(new_code)You can also find more examples in thetests.pyfile.Inside DecompilerYou can use VarBERT as a scripting library inside your decompiler, utilizing LibBS.fromvarbertimportVariableRenamingAPIfromlibbs.apiimportDecompilerInterfacedec=DecompilerInterface()api=VariableRenamingAPI(decompiler_interface=dec)forfunc_addrindec.functions:new_names,new_code=api.predict_variable_names(function=dec.functions[func_addr])print(new_names)As a Decompiler PluginIf you would like to use VarBERT as a decompiler plugin, you can useDAILA.
You should follow the instructions on the DAILA repo to install DAILA, but it's generally as simple as:pip3installdailalib&&daila--installYou can find a demo of VarBERT running inside DAILA below:CitingIf you use VarBERT in your research, please cite our paper:TODO
Package: varboxes
varboxesA varbox is an object to store permanently objects between python session. It uses json module, so it restricts the type of variable to store accordingely.InstallationpipinstallvarboxesUsagefromvarboxesimportVarBoxvb=VarBox('MyApp')# you can create any variable as attribute of the varbox:vb.a=1# now, you could quit this session, restart the computer, and recreate a varbox (with the same app name):vb2=VarBox('MyApp')print(vb2.a)>>>1# and the attribute has been remembered!!Featuresto use permanent variable between session, use attribute of a varboxthe attribute will be saved on the disk and retrieved laterLicenseThe project is licensed under GNU GENERAL PUBLIC LICENSE v3.0
Package: varBscore
varBscore: calculate varBscore using vcf inputUsagebasic usagesnpScore-mp2\-p'{"mutant":["mutan"],"wild":["wild"],"mutant_parent":[],"wild_parent":[],"background":[],"qtlseqr_window":1000000,"qtlseqr":"qtlseqr","ed":"ed","min_depth":5,"snp_number_window":20,"snp_number_step":5,"ref_freq":0.3,"p_ref_freq":0.3,"background_ref_freq":0.3,"qtlseqr_min_depth":5,"qtlseqr_ref_freq":0.3,"pop_stru":"RIL","snp_density_window":100000,"snp_density_step":100000}'\--vcf_dirvcf.dir1\--vcf_dirvcf.dir2\--chr_sizechr.size\--thread4\--plant\-oout.dir\--snpeff_dbsnpeff.db.name\--snpeff_cfgsnpeff.config.path
Package: varcache
varcacheA simple library that provides a way to store and synchronize Python objects on a disk. It can be a good alternative towards SQLite or other solutions that seem to be too complicated in your project. Insidevarcacheusespickle.Installationpip install varcacheBasic examplefromvarcacheimportVarcache# Configure the drectory to savevcache=Varcache(dirpath='./storage')# Load and save exampleobj1=vcache.load(name='obj1',default=dict)obj1['x']=25vcache.save(obj1)# Binding exampleobj2=[]vcache.bind(obj2,name='obj2')obj2.append(36)vcache.save(obj2)# Plain saveobj3={2,3,5,7}vcache.save(obj3,name='obj3')
Package: vardautomation
VardautomationPackage I'm using for my encoding stuffHow to install vardautomationThis command will install vardautomation and the python dependenciespip install vardautomation -UOr from sourcepython -m pip install git+https://github.com/Ichunjo/vardautomation.git -URequirementsPython 3.10 or newerONLYVapourSynth r60 & the following pluginsbas,ffms2,imwri,lsmas,scxvid,wwxdOther modules inrequirements.txt
Package: vardef
vardef: contained and organized variable definitionUsage Examples 🚩|Developer Reference 👩‍💻|Authors 👫vardefis a simple idea for declaring variables in multiple statements in a contained
and organized fashion.A simple Python decorator built with Heart and designed for Humansfromvardefimportvardefvars_defined=0@vardefdefsomevar()->int:globalvars_definedvars_defined+=1return42@vardefdefothervar()->int:globalvars_definedvars_defined+=1return73print(vars_defined)# 2print(somevar)# 42print(othervar)# 73print(type(somevar))# <class 'int'>print(type(othervar))# <class 'int'>fromunittest.mockimportMockfromvardefimportvardeffromsomewhereimportUser@vardefdefuser_with_read_role()->Mock:user_mock=Mock(User)user_mock.roles=["READ"]returnuser_mockprint(user_with_read_role.roles)# ['READ']print(type(user_with_read_role))# <class 'unittest.mock.Mock'>importpandasaspdfrombutterfree.extractimportSourcefrombutterfree.extract.readersimportTableReaderfrombutterfree.clientsimportSparkClientfromvardefimportvardefspark_client=SparkClient()@vardefdefdf()->pd.DataFrame:source=Source(readers=[TableReader(id="colors",database="datalake_colors",table="colors",)],query="""
            SELECT * FROM colors
        """,)returnsource.construct(spark_client)df.createOrReplaceTempView("colors")...fromvardefimportvardef@vardefdefbuggy()->int:return4/0# Traceback (most recent call last):#   File "./buggy.py", line 5, in <module>#     def buggy() -> int:#   File "./vardef/__init__.py", line 7, in vardef#     return define_var()#   File "./buggy.py", line 6, in buggy#     return 4 / 0# ZeroDivisionError: division by zeroWhy to use vardefOrganization: using avardeffunction allows all necessary code to define and
initialize a variable to be logically separated from the outer scope. This makes it
clear what code is relevant to the rest of the scope and what code is only there to
assist with initialization. Also, in this way, auxiliary code is avoided being exposed
to be imported or messed up by external agents.Conciseness: avardeffunction is a syntax sugar to avoid the need to declare
a function which will only be called once to define a variable. With the decorator
your code gets concise and also avoids exposing the initializer function.For further information on how to use the decorator check out ourdocs!Changelog0.1.0 (2020-12-03)First beta release
Package: var-distributions
var-distributions packageSummary of package#Explanation of files in the packageHere comes the explanation#Installationpip install var-distributions#Example
from var_distributions import Binomial, Gaussiang1 = Gaussian(10, 20)
print(g1)b1 = Binomial(0.3, 14)
print(b1.mean)
print(b1.stdev)
print(b1.p)
print(b1.n)
Package: varenv
Varenv:green_heart:A simple way to mock your environment variables during development.Just add'em to the varenv.conf.json and have fun =). The varenv package will not overwrite any already existente environment variables.This library was designed to be inbuilt in pojects that, when going to production, will consume environment variable, very commonly used in application that'll run in docker containers. So, they need something to mock these variable under development but that won't get in the way in production.Basic UsageCreate a file calledvarenv.conf.jsonat your project's root path like this:{"SRPC_SERVER":"127.0.0.1","SRPC_SERVER_PORT":"2727","ANY_OTHER_VARIABLE_I_DESIRE":567865}It can also be YAML file calledvarenv.conf.ymlorvarenv.conf.yaml. The equivalent to the above file being:SRPC_SERVER: 127.0.0.1
SRPC_SERVER_PORT: '2727'
ANY_OTHER_VARIABLE_I_DESIRE: 567865now use it like this in your program:importvarenv.varenvasvarenvmy_server_ip=varenv.get_env("SRPC_SERVER")my_server_port=varenv.get_env("SRPC_SERVER_PORT")# after a while, for some reason, something chaged your enviroment variables values# then refresh itvarenv.refresh()new_server_port=varenv.get_env("SRPC_SERVER_PORT")If you want to change the location of thevirenv.conf.jsonfile, you can define a environment variable calledVARENV_CONF_FILE_PATHto any path you desire.You can do that in a variaty of ways, here is two exemples:by python:importosos.environ['VARENV_CONF_FILE_PATH']='/folder/my_path/virenv.conf.json'importvarenvby your .bashrc file:VARENV_CONF_FILE_PATH=/folder/my_path/virenv.conf.jsonby bash when calling your python program:VARENV_CONF_FILE_PATH=/folder/my_path/virenv.conf.jsonpython3my_program.pyAuthor's Notecreate by me,davincif, this project was first though to fulfill the needs of a another professional project I've made. But it sounds so potentially useful the the community that I decided to open this package here freely distributed.I actively use this project since I created it back in 2018, and it happens to be pretty useful. Wich is surprising given that I thought it would be a one project thing. Thus I decided keep maintaining it, basically by solving bugs and adding new features required by other projects.So let me know if you want to help out, or if you need any formal concentiment to use this software, despite the fact that it's already free and open by terms of a very permissive license aszlib.See alsoDependency Managerproject: A simple way of managing pip dependencies, separating in dev and prod, and tracking them.SimplestRPCproject: A simple RPC for python -study project.
Package: varfilter
pyVarfilterSimplificación de obtención de variables del exterior, y filtrado básico.Getting StartedThese instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.Prerequisitespython3 >= 3.5
python3-pip
pylama
bandit3Deploymentpip3 install pyVarfilterAuthorsEsteban Barón-Initial work-gomibayaLicenseThis project is licensed under the MIT License - see theLICENSEfile for details