Saravanan666/pypi-org huggingface dataset:
Package: pydioc
Python DI / IoC containerDependency injection means giving an object its instance variables.--James Shore, Dependency Injection DemystifiedInitially it was created for AWS Lambda Functions to simplify development
with loose coupling component and improved testing capabilities.Inspiration comes frompython:design_patterns:inversion_of_controlsummary article.This modules is an optimized version of a container used inp3.4.advanced-di-iocsection of mylambda-modular-pythonMOB session @cloudreach.UsageOrchestrate container inioc.pyfile:# ioc.pyimportpydiocimportboto3importsome_sdkfrom.importservicesdefbuild_container(ssm_param_api_key:str,ddb_status_table:str,format_type:str)->pydioc.Container:returnpydioc.Container(("_boto3_session",boto3.Session),("lambda_context",pydioc.ContextProxy),("_api_key_loader",services.api_key_loader,["_boto3_session",lambda:ssm_param_api_key]),("_status_updater",services.status_updater,["_boto3_session","lambda_context",lambda:ddb_status_table]),("_sdk_data_formatter",some_sdk.FormatterFactory,[lambda:format_type]),("_sdk_client_factory",services.sdk_client_factory,["_api_key_loader"]),("_sdk_data_transfer",services.sdk_data_transfer,["_sdk_client_factory","_sdk_data_formatter","lambda_context"]),("event_handler",services.event_handler,["_sdk_data_transfer","_status_updater"]),)Define services inservices.pyfile:# services.pyimportboto3importsome_sdk# ...defapi_key_loader(session:boto3.Session,ssm_param_api_key:str):assertssm_param_api_key,'expecting non empty api_key param'def_api_key_loader():# very simplified codereturnsession.client('ssm').get_parameter(Name=ssm_param_api_key)["Parameter"]["Value"]return_api_key_loaderdefsdk_client_factory(load_api_key:api_key_loader):def_sdk_client_factory(client_type):# very simplified codeapi_key=load_api_key()ifclient_type=='User':returnsome_sdk.user.Client(api_key)raiseValueError(f"unknown client type:{client_type}")returnsdk_client_factorydefsdk_data_transfer(client_factory:sdk_client_factory,formatter:some_sdk.Formatter,context:object):def_sdk_data_transfer(payload:dict)# very simplified codeclient=client_factory(payload['type'])client.publish(formatter.format(payload['body']),handler=context.invoked_function_arn)return_sdk_data_transfer# ...Configure and run inmain.pyfile:# main.pyimportosfrom.importiocinit_error=Nonetry:container=ioc.build_container(ssm_param_api_key=os.environ.get("SSM_PARAM_API_KEY"),ddb_status_table=os.environ.get("DDB_STATUS_TABLE"),format_type=os.environ.get("FORMAT_TYPE","YAML"),)exceptExceptionasex:init_error=exdeflambda_handler(event:dict,context:object):ifinit_error:raiseinit_errorcontainer.lambda_context(context)returncontainer.event_handler(event)In this examplecontainerwould be compiled once per Lambda Function life cycle,
whilelambda_handlerprocesses incoming requests sequentially, until it dies after idle timeout.
Package: pydiode
pydiodeTransfer data through a unidirectional network (i.e., a data diode).InstallationInstall from PyPI:pip install pydiodeTo install from source, clone the repo then run:pip install .UsageDocumentation:pydiode --help
pydiode send --help
pydiode receive --helpStart a receiver on localhost:pydiode --debug receive 127.0.0.1Send data to the receiver, from localhost to localhost:pydiode --debug send 127.0.0.1 127.0.0.1Type some information into the receiver. When finished, press enter, then type Control-D to signal the end-of-file. The receiver should print the received information.With debug-level logging, you will see details about each packet sent and received. Omit the--debugparamater when sending large amount of data, since debug-level logging incurs significant CPU usage.DevelopmentRun unit tests:python -m unittest tests.testsSincethe unit tests run on the installed code, remember to install the latest version of the code before running the unit tests.
Package: pydiogment
PydiogmentPydiogmentaims to simplify audio augmentation. It generates multiple audio files based on a starting mono audio file. The library can generates files with higher speed, slower, and different tones etc.InstallationDependenciesPydiogmentrequires:Python(>= 3.5)NumPy(>= 1.17.2)pip install numpySciPy(>= 1.3.1)pip install scipyFFmpegsudo apt install ffmpegInstallationIf you already have a working installation ofNumPyandSciPy, you can simply installPydiogmentusing pip:pip install pydiogmentTo update an existing version ofPydiogment, use:pip install -U pydiogmentHow to useAmplitude related augmentationApply a fade in and fade out effectfrompydiogment.augaimportfade_in_and_outtest_file="path/test.wav"fade_in_and_out(test_file)Apply gain to filefrompydiogment.augaimportapply_gaintest_file="path/test.wav"apply_gain(test_file,-100)apply_gain(test_file,-50)Add Random Gaussian Noise based on SNR to filefrompydiogment.augaimportadd_noisetest_file="path/test.wav"add_noise(test_file,10)Frequency related augmentationChange file tonefrompydiogment.augfimportchange_tonetest_file="path/test.wav"change_tone(test_file,0.9)change_tone(test_file,1.1)Time related augmentationSlow-down/ speed-up filefrompydiogment.augtimportslowdown,speedtest_file="path/test.wav"slowdown(test_file,0.8)speed(test_file,1.2)Apply random cropping to the filefrompydiogment.augtimportrandom_croppingtest_file="path/test.wav"random_cropping(test_file,1)Change shift data on the time axis in a certain directionfrompydiogment.augtimportshift_timetest_file="path/test.wav"shift_time(test_file,1,"right")shift_time(test_file,1,"left")DocumentationA thorough documentation of the library is available underpydiogment.readthedocs.io.ContributingContributions are welcome and encouraged. To learn more about how to contribute toPydiogmentplease refer to theContributing guidelinesAcknowledgment and creditsThe test file used in the pytests isOSR_us_000_0060_8k.wavfrom theOpen Speech Repository.
Package: pydipapi
pydipapipydipapi Package - A simple wrapper around the API of the German Bundestag.The author is in no way affiliated with the German Bundestag or any of its institutions.A key is required to use the API. This can be obtained from the German Bundestag.
To the original documentation of the API:dip.bundestag.deInstallationA virtual environment is recommended. Then install with pip.pipinstallpydipapiUsage/ExamplesInitiate the APIimportDipAnfragefrompydipapidip=DipAnfrage()dip=DipAnfrage()
Package: pydiq
pydiqSimple open-source multi-platform DICOM browser/viewer in Python and Qt.NOTEThis project has not been updated for a long time. Currently, I have no capacity to improve it. If you feel like contributing, I'll be happy to accept your enhancements / bug fixes. The UI seems not to be entirely working...FeaturesEasy (and fast) viewing of all images in a directoryZooming (1:N and N:1)Mouse control of window center and width (as in Aeskulap Viewer)Proper measurement of Hounsfield units and position by mousePNG image exportTo DoBetter zoomingBetter MRI images supportRT dose images supportView in different planes (rectangular + others)Coordinate mapping (using translation and rotation matrix)Integration of anonymization features (seehttps://github.com/janpipek/anonymize_dicom)Information from the DICOM file in user-friendly displayDependenciesPython 3.6+qtpy (and therefore PyQt4 / PyQt5 / PySide - not automatically installed by pip!)pydicom (1.3)Tested on Linux and Windows.InstallationThe easiest way ispip install pydiq.UsageUsage: pydiq [OPTIONS] [PATH]

Options:
  --help  Show this message and exit.LimitationsCurrently, the viewer supports only Computed Radiography (CR), Computed Tomography (CT) and
Magnetic Resonance Imaging (MRI) images with normal orientation (x, y, z)
in one-slice-per-file format.
Package: py-dirk
py-dirkdirk is a tool for Kubernetes administrators who manage a large number of clusters.
dirk makes sure that you always communicate with the right kubernetes cluster, even though you switch between many project folders.py-dirk is the Python implementation of dirk.Install py-dirkInstall py-dirk like this:pipinstallpy-dirkUse dirkInit dirk for a certain project folder like this:dirkinit<directory>This command creates a kubeconfig file which will be used by kubectl as long your current working directory is in the project folder.
Leaving the project folder will lead to the kubeconfig file to be unloaded.Example of useHow to use dirk is shown inhttps://github.com/deepshore/how-to-use-dirk.
Package: pydis
pydisPython wrappers for StrictRedis inspired byhttps://blog.jverkamp.com/2015/07/16/automagically-storing-python-objects-in-redis/Installationpip install -U pydisConfigurationSee redis_settings.py for detail.UsageSee tests/sample.pytestpython -m pytest --cov-report term-missing --cov=pydis
Package: py-dis
pydisPydis is a python binding for theZydis disassembler library.importpydisinstructions=b'\x51\x8d\x45\xff\x50\xff\x75\x0c\xff\x75\x08\xff\x15\xa0\xa5\x48\x76\x85\xc0\x0f\x88\xfc\xda\x02\x00'instruction_pointer=0x007FFFFFFF400000forinstructioninpydis.decode(instructions,instruction_pointer):print(instruction)Output:push rcx
lea eax, [rbp-0x01]
push rax
push [rbp+0x0C]
push [rbp+0x08]
call [0x008000007588A5B1]
test eax, eax
js 0x007FFFFFFF42DB15The module uses the same field names as Zydis with the exception that snake_case is used instead of camelCase.RequirementsPydis requires a python version >=3.6. The package has been tested on macOS, linux, and windows running cpython. Since
pydis usesctypesto interface with zydis it may or may not work on other interpreters.Installingpipinstallpy-disor you can build from source as described below.BuildingMacOS and linux machines will need cmake and a C compiler in order to build Zydis. Windows machines will need Visual
Studios. Pydis does not use any python modules beyond ones provided by a default python installation.With the tooling installed running:python setup.py build installwill build Zydis and install the package.UsageDocumentation is currently being worked on. For now the example scriptpydisinfois
the best place to look for example usage.
Package: pydisadm
EVE ADM BotThis is a discord bot which will collect alliance system ADM's daily and provide commands to display them in a convenient tier list.⚡ Quick StartFrom PyPI# 1. Set up environment (pick option)# 1.1 With exported variables:exportDISCORD_TOKEN=your-token-hereexportDISCORD_CHANNEL=your-channel-hereexportDISCORD_GUILD_ID=your-guild-idexportDISCORD_APP_ID=your-app-id-hereexportALLIANCE_ID=your-alliance-id-hereexportDB_SERVICE=sqliteexportDB_CONNECTION_STRING=adm-data.sqliteexportDB_KEEP_ADM_DAYS=7# 1.2 With .env file:cp.env.example.env# 2. Install package from PyPIpipinstallpydisadm# 3. Run Botpython-mpydisadmFrom source# 1. Clone repositorygitclonehttps://github.com/agelito/adm-botcdadm-bot# 2. Copy and edit .envcp.env.example.env# 3. Install dependenciespoetryinstall# 4. Run botpoetryrunpythonpydisadm/__main__.py📃 Commands/adm summary- send a summary of ADM's/adm csv- send a csv of ADM's/adm history <name>- send a graph showing system, constellation, or region ADM over time/adm update <system>- manually update ADM for system/adm recommend- recommend a system to raise ADM inMaintenace/adm refresh- manually refresh the data!adm_sync_commands- synchronise the interactive discord commands (only required once)🔧 ConfigurationConfiguration is done using environment variables ordotenv. See.env.examplefor example configuration.DISCORD_TOKEN- the token bot should use when communicating with discord.DISCORD_CHANNEL- the channel name bot should listen too, if this is empty the bot will listen to all channels.DISCORD_GUILD_ID- the discord server bot should be part ofDISCORD_APP_ID- the bot application IDALLIANCE_ID- the alliance ID for collecting ADM values, only systems owned by this alliance will be collected.ALLIANCE_IGNORE_TCU- set to any value to ignore TCU's when collecting ADM valuesDB_SERVICE- which database to use, can be: sqlite or mysqlDB_CONNECTION_STRING- the connection stringDB_KEEP_ADM_DAYS- how many days adm history should be kept in database (default 7).DB_CONNECTION_STRING examplessqlite-adm-data.sqlitea file namemysql-root:root@127.0.0.1:3600/pydisadm- a connection string (user:password@host:port/database). Seemysqlclientfor more information🔍 CaveatsThe ADM data from ESI is only updated once a day, so refreshing more often than that is not necessary.The database will continue to fill up with historic entries, manually inspect size and purge older entries if it's too big.🚧 DevelopmentEnvironmentThe development environment and dependencies is managed usingpoetry. Use the following command to set up environment and install dependencies:poetryinstallA nested poetry shell can be started using this command:poetryshellRun Lintingpylint--rcfilepylint.rcpydisadm/**/*.pyRun Unit Testspytesttests/--cov=pydisadm--cov-branch💡 CreditsProject is forked from and inspired by@anjode
Package: pydisagg
Dissaggregation under Generalized Proportionality AssumptionsThis package disaggregates an estimated count observation into buckets based on the assumption that the rate (in a suitably transformed space) is proportional to some baseline rate.The most basic functionality is to perform disaggregation under the rate multiplicative model that is currently in use.The setup is as follows:Let $D_{1,...,k}$ be an aggregated measurement across groups ${g_1,...,g_k}$, where the population of each is $p_i,...,p_k$. Let $f_1,...,f_k$ be the baseline pattern of the rates across groups, which could have potentially been estimated on a larger dataset or a population in which have higher quality data on. Using this data, we generate estimates for $D_i$, the number of events in group $g_i$ and $\hat{f_{i}}$, the rate in each group in the population of interest by combining $D_{1,...,k}$ with $f_1,...,f_k$ to make the estimates self consistent.Mathematically, in the simpler rate multiplicative model, we find $\beta$ such that
$$D_{1,...,k} = \sum_{i=1}^{k}\hat{f}_i \cdot p_i $$
Where
$$\hat{f_i} = T^{-1}(\beta + T(f_i)) $$This yields the estimates for the per-group event count,$$D_i = \hat f_i \cdot p_i $$
For the current models in use, T is just a logarithm, and this assumes that each rate is some constant muliplied by the overall rate pattern level. Allowing a more general transformation T, such as a log-odds transformation, assumes multiplicativity in the associated odds, rather than the rate, and can produce better estimates statistically (potentially being a more realistic assumption in some cases) and practically, restricting the estimated rates to lie within a reasonable interval.Current Package Capabilities and ModelsCurrently, the multiplicative-in-rate model RateMultiplicativeModel with $T(x)=\log(x)$ and the Log Modified Odds model LMO_model(m) with $T(x)=\log(\frac{x}{1-x^{m}})$ are implemented. Note that the LMO_model with m=1 gives a multiplicative in odds model.A useful (but slightly wrong) analogy is that the multiplicative-in-rate is to the multiplicative-in-odds model as ordinary least squares is to logistic regression in terms of the relationship between covariates and output (not in terms of anything like the likelihood)Increasing m in the model LMO_model(m) gives results that are more similar to the multiplicative-in-rate model currently in use, while preserving the property that rate estimates are bounded by 1.
Package: pydisc
pydisca discord bot wrapper for python have slash command🚧 this project stell in Alpha now and is very unstable 🚧installpipinstallpydiscusagecreate a slash_commandfrompydiscimportsetupcommand=setup.Command('applications_id','token')command.create('command','description')create a botimportpydiscbot=pydisc.Bot()@bot.eventasyncdefready():print(bot.user.username)print(bot.user.id)print(bot.user)#slash command@bot.commandasyncdefping(ctx):ctx.send("pong")bot.run('token')#todo:all eventsslash optionslash permissionconfigComponentsembederrorasynchronous requestdocsexamplewebsitesupport servera logo
Package: pydischarge
pyDischarge is a collaboration-driven Python package providing tools for
studying data from ground-based gravitational-wave detectors.pyDischarge provides a user-friendly, intuitive interface to the common
time-domain and frequency-domain data produced by the LIGO and Virgo
observatories and their analyses, with easy-to-follow tutorials at each
step.https://pydischarge.github.ioRelease statusDevelopment statusInstallationTo install, you can do:conda install -c conda-forge pydischargeorpython -m pip install pydischargeYou can test your installation, and its version bypython -c "import pydischarge; print(pydischarge.__version__)"LicensepyDischarge is released under the GNU General Public License v3.0 or later, seeherefor a description of this license, or see theLICENSEfile for the full text.
Package: py-discord
# PyDiscordA simple Discord API that uses the new interactions framework.## InstallingPython 3.9 or higher is required. It may work on earlier versions; but they are untested.To install the library:– to do later –## Versioning PolicyPyDiscord may work on earlier versions of Python, but is currently developed with Python 3.9.The project uses semantic versioning - MAJOR.MINOR.PATCH-prerelease.Compatibility will be maintained with Python versions on major versions - for example, all 1.x.y versions will
support Python 3.9, and only considered for being dropped at 2.x.y. Discord may change their API from time to time, forcing breaking updates. These are outside the project’s control.
Package: pydiscordbio
pydiscordbioAn unofficial asynchronous Python wrapper for thediscord.bioapi.Installingpip install pydiscordbioUsageSetting up the clientThis will be used to make requests to the APIfrompydiscordbioimportClientclient=Client()ExceptionsErrorDescriptionpydiscordbio.exceptions.APIErrorRaised when the request to the API itself failspydiscordbio.exceptions.NotFoundRaised when the request to the API returns status code 404pydiscordbio.exceptions.UserNotFoundRaised when a user doesn't exist in the APIpydiscordbio.exceptions.InvalidSearchRaised when a search query is invalidGetting a user's details, discord info and connections via username or Discord IDAll methods of Client are typed meaning your IDE should auto complete the attributesuser=awaitclient.user("wa")#oruser=awaitclient.user(738128655145762949)Getting a specific value from a user's details, e.g. description or a users banner URLdescription=(awaitclient.user("wa")).details.descriptionbanner_url=(awaitclient.user("wa")).details.bannerGetting a specific value from a user's Discord, e.g. discord ID or usernamedescription=(awaitclient.user("wa")).discord.idbanner_url=(awaitclient.user("wa")).discord.usernameGetting a user's connected websitewebsite=(awaitclient.user("wa")).connections.website# Discord connectionsdiscord_connections=(awaitclient.user("wa")).connections.discord# Returns a list of DiscordConnection objectsMiscellaneous Endpointstop_users=awaitclient.top()# Returns a list of PartialUser objects from the top liked profilesresult=awaitclient.search('Adam')# Returns a list of PartialUser objects from the queryAttributesUserDetails (from client.user)details:Userdiscord:Discordconnections:UserConnectionsUserslug:struser_id:intflags:intverified:boolpremium_type:intcreated_at:datetimedescription:strlocation:strgender:Optional[str]birthday:Optional[datetime]email:Optional[str]occupation:Optional[str]banner:Optional[str]premium:boolstaff:boollikes:intDiscordid:intusername:strfull_username:stravatar:Optional[str]avatar_url:stris_avatar_animated:booldiscriminator:strflags:intUserConnectionswebsite:Optional[str]instagram:Optional[str]snapchat:Optional[str]linkedin:Optional[str]discord:List[DiscordConnection]PartialUserslug:strverified:boolstaff:boolpremium:boollikes:intdescription:Optional[str]discord:DiscordDiscordConnectionconnection_type:strname:strid:str
Package: pydiscordself
PyDiscordSelfCette librairie permet de créer des selfbots Discord.Exempleimportpydiscordselfimportjsonglobalconfigwithopen("./config.json","r")asconfigFile:config=json.load(configFile)selfbot=pydiscordself.SelfBot(config["token"])defon_ready(_data):print("SelfBot is READY !")defon_message(data):print(data["content"])selfbot.addEventListener("READY",on_ready)selfbot.addEventListener("MESSAGE_CREATE",on_message)selfbot.start()
Package: pydiscotool-cli
pydiscotool-clipydiscotool-cli is a cli wrapper of pydiscotoolsOSTestedWindows:heavy_check_mark:MacOs:x:Linux:x:Getting StartedInstall: pydiscotool-cli withpip install pydiscotool-cliCreate .tfrecords file from csv data fileRunpydiscotool-cli create-tfrecords-from-csv
Package: pydiscover
PyDiscover: Simple Secure and Lightweight Python Service DiscoveryCodename:ZaRZaner0Version:1.0Code:https://github.com/cr0hn/pydiscoverIssues:https://github.com/cr0hn/pydiscover/issues/Python version:Python 3.4 and aboveAuthor:Daniel Garcia (cr0hn) - @ggdanielWhat’s PyDiscoverPyDiscover is a simple service discovery client and server, designed with simplicity, performance and security in mind. Instead of implement SSDP protocol or any else, use a very simple mechanism: send to the clients information as a JSON format.PyDiscover is very flexible and lightweight, and incorporates a cypher mechanism to secure (password based) the communication between server and clients.FeaturesSimple usage.Configurable multicast service discovery.Password protected access to server info (optional).AES encryption (if you defines a password).Custom channel definition.High server performance, based in the new Python asyncio module.Server can spread any information to clients. This information are sent/received as a JSON format.Simple configuration fileInstallInstall is so easy:# python3.4 -m pip install pydiscoverHow it works?Architecture:PyDiscover is composed by client and server:Server listen for multicast clients request in the port 50000 (by default).Clients send requests using a multicast address to the port 50000.Virtual Channels (or magic):Client and server must transmit information in the samevirtual channel (or magic). The magic is a pre-shared word that server/client known. Only messages with this word will be attended, performing the “virtual channel”.Hidden mode:By default (per security reasons) server runs ashidden mode. This is: if server receives a messages without the correct magic or with wrong password, doesn’t answer nothing to the client request. If we want that server answer with error message, we’ll activate explicitly.Securing communicationWe can set a password for the server. When it’s set, the information will be sent cyphered using AES to the clients. Only in the clients known the password could be understand the messages.Sent/received informationServer must be started with-dparam. This param referees to a.cfgfile. This file must have the format:[DEFAULT]services=10.0.0.1net_password=asfi0j9ask123A[DEFAULT]section.Any information as:key = value.The DEFAULT section content will be sent as a JSON format to the clients.UsageServerStarting server in port 40000, with a password an the virtual channel is build by word: “askskAls828”:# pydiscover-server -p 40000 --password 1238d8KKls_jj -m askskAls828 -d example.cfgDisablind hidden mode:# pydiscover-server -p 40000 --password 1238d8KKls_jj -m askskAls828 -d example.cfg --disable-hiddenYou can see more examples typing:# pydiscover-server -hClientConnecting to the server with the above configuration:# pydiscover-client -p 40000 --password 1238d8KKls_jj -m askskAls828 -vReal exampleWhat’s new?Version 1.0.0First version releasedLicensePyDiscover is released under BSD licence.