Saravanan666/pypi-org huggingface dataset:
Package: luxlib
LuxLIBLuxLIB est une librairie Python permettant la mise Ã  jour automatique depuis un serveur. Mais aussi de pouvoir mettre Ã  jour son serveur depuis le client.InstallationPour installer LuxLIB, il faudra utiliserpip.pipinstallluxlibUtilisationimportluxlib# Pour le tÃ©lÃ©charger#Initialisation de la classedownloader=luxlib.Downloader("LIEN (ip ou url)","NAME_FOLDER_CLIENT",custom_java=TrueorFalse,logger=TrueorFalse,sftp=TrueorFalse,user="USERNAME SFTP",password="PASSWORD SFTP",main_dir="DIRECTORY SERVER")#Affichage du rÃ©capitulatifdownloader.get_recap()# DÃ©marrage de la mise Ã  jourdownloader.update()# Pour la mise Ã  jour serveur# Initialisation de la classeupdater=luxlib.Updater("IP","USERNAME","PASSWORD",dir='CLIENT',dir_server='SERVER',logger=TrueorFalse)LicenseMIT
Package: luxonis-ml
LuxonisMLThis library includes a collection of helper functions and utilities for the Luxonis MLOps stack. This includes the following submodules:Dataset Management: Creating computer vision datasets focused around Luxonis hardware and loading data into our training library.Embeddings: Methods to compute image embeddings.Tracking: Our implementation of a logger for use with PyTorch Lightning or in our training library.Utils: Miscellaneous utils for developers. See this README for details on the different utils.NOTE:
The project is in an alpha state, so it may be missing some critical features or contain bugs - please report any feedback!Table of ContentsInstallationContributingInstallationTheluxonis_mlpackage is hosted on PyPI, so you can install it withpip.We offer several versions of the package:luxonis-ml[data]: installs necessary dependencies for usingluxonis_ml.datamoduleluxonis-ml[utils]: installs necessary dependencies for usingluxonis_ml.utilsmoduleluxonis-ml[embedd]: installs necessary dependencies for usingluxonis_ml.embeddingsmoduleluxonis-ml[tracker]: installs necessary dependencies for usingluxonis_ml.trackermoduleluxonis-ml[all]: installs all dependenciesluxonis-ml[dev]: installs all dependencies, including development dependenciesTo install the package with all dependecies, run:pipinstallluxonis-ml[all]ContributingIf you want to contribute to this project, read the instructions inCONTRIBUTING.md
Package: luxor
LuxorAsynchronous library to control FX Luminaire Luxor low voltage controllers.Requires Python3, asyncio, and aiohttpAsync library to control anFX Luminaire Luxor ZDlow voltage lighting controller.This is an MVP, with a strong emphasis onminimal.The initial use case is an API backend for
aHomeAssistantintegration.
Homeassistant requires all API access to integrations happen via a PyPi module.
The client has the bare minimum functionality to support this use case.Note:Luxor go libraryby Scott Lamb can be used as a reference for the Luxor protocol and for adding
additional support in the future.
Package: luxtronik
Luxtronikpython-luxtronik is a library that allow you to interact with a Luxtronik heatpump controller.InstallationInstallation is siply using this pip command:pip install luxtronikExamplesReading valuesfrom luxtronik import Luxtronik

l = Luxtronik('192.168.1.23', 8889)

t_forerun = l.calculations.get("ID_WEB_Temperatur_TVL")

# alternatively get by id:

t_forerun = l.calculations.get(10)

print(t_forerun) # this returns the temperature value of the forerun, 22.7 for example
print(t_forerun.unit) # gives you the unit of the value if known, °C for example

# l.calculations holds measurement values
# check https://github.com/Bouni/luxtronik/blob/master/luxtronik/calculations.py for values you might need

# l.parameters holds parameter values
# check https://github.com/Bouni/luxtronik/blob/master/luxtronik/parameters.py for values you might need

# l.visibilitys holds visibility values, the function of visibilities is not clear at this point
check https://github.com/Bouni/luxtronik/blob/master/luxtronik/visibilities.py for values you might needWriting valuesfrom luxtronik import Luxtronik

l = Luxtronik('192.168.1.23', 8889)

heating_mode = l.parameters.set("ID_Ba_Hz_akt", "Party")
l.write()

# If you're not sure what values to write, you can get all options:

print(l.parameters.get("ID_Ba_Hz_akt").options) # returns a list of possible values to write, ['Automatic', 'Second heatsource', 'Party', 'Holidays', 'Off'] for exampleBy default a safeguard is enabled that prevents writing of parameters whose purpose is unknown.
You can disable that safeguard by passingsafe=Falseto the Luxtronik class.from luxtronik import Luxtronik

l = Luxtronik('192.168.1.23', 8889, safe=False)
Package: lux-widget
Lux is a library designed to make data science easier and facilitate fast experimentation with data.
You can learn more about Lux by referring to the coreLux APIin Python.
This is the Jupyter widget frontend for Lux, written in Typescript and React.Here is an example of the Lux widget in action.You can find the full demo example in this livenotebook.InstallationFor either Jupyter Notebooks or JupyterLab (versions 3.0 and above), you can install via pip or conda:pipinstalllux-apiorcondainstall-cconda-forgelux-apiSetup in Jupyter Notebook, VSCodeSetup in Jupyter Notebook, VSCode, JupyterHubTo use Lux with any Jupyter notebook-based frontends (e.g.,Jupyter notebook,JupyterHub, orVSCode), activate the notebook extension:jupyternbextensioninstall--pyluxwidget
jupyternbextensionenable--pyluxwidgetIf the installation happens correctly, you should see two- Validating: OKafter executing the two lines above.
Note that you may have to restart the Jupyter Notebook server to ensure that the widget is displaying correctly.Setup in Jupyter LabLux is compatible with both Jupyter Lab version 2 and 3. To use Lux inJupyter Lab, activate the lab extension:jupyterlabextensioninstall@jupyter-widgets/jupyterlab-manager
jupyterlabextensioninstallluxwidgetNote that JupyterLab and VSCode is supported only for lux-widget version >=0.1.2, if you have an earlier version, please upgrade to the latest version oflux-widget. Lux has only been tested with the Chrome browser.If you encounter issues with the installation, please refer tothis pageto troubleshoot the installation. Followthese instructionsto set up Lux for development purposes.Documentation and SupportFor detailed reference, please refer to thedocumentation page. Please report any bugs, issues, or requests throughGithub Issuesor post on the#helpchannel in theLux Slack org.Lux has only been tested with Jupyter notebook and Chrome - there have been issues with other browsers and we advise using Chrome.
Package: luxx_communication
This module provides framework for communication with Omicron LuxX laser,
connected to the computer via serial interface (RS-232 or USB). You can
import it into your interpreter (e.g. IPython) and control laser with
simple self-explanatory statemens. Other option is to integrate it into
some kind of program, which allows flexible device control. Typical usage
often looks like this:#!/usr/bin/env python

from luxx_communication import Laser

laser = Laser(port="/dev/ttyUSB0")
laser.set_power(10)         # 10 mW
laser.set_mode("CW-ACC")    # Auto current control
laser.start()               # Start light emissionOther Omicron lasers (BrixX and PhoxX) are controlled in a similar manner,
and this module should be able to control them right away. However, they
were never tested. These lasers have some additional functions, support
for which can be easily added into this module.
Package: luyiba
luyiba英雄联盟随机英雄选择器安装用pip安装即可:pip install luyiba具体用法如下所示：Usage: luyiba [OPTIONS]

  英雄联盟随机英雄选择器

  默认全英雄随机选择，你可以设置为自己喜好的清单随机选择。

Options:
  -v, --version                   本软件版本
  -l, --list                      列出全英雄名
  --mylist-list                   列出我的喜好英雄清单
  --mylist-input PATH             读取文本导入我的喜好清单
  --mylist-add TEXT               我的喜好清单添加一个
  --mylist-remove TEXT            我的喜好清单删除一个
  --mylist-delete                 我的喜好清单清空
  -i, --input PATH                指定文本随机模式
  -a, --all                       全英雄随机模式
  -m, --mylist                    个人喜好清单随机模式
  -p, --position [top|mid|jungle|bottom|support|t|m|j|b|s]
                                  指定我只想玩那个位置
  -r, --role [tank|mage|support|marksman|fighter|assassin|t|g|s|k|f|a]
                                  指定我只想玩某种角色
  --help                          Show this message and exit.基本使用全英雄随机模式luyiba -p t随机抽选一名上单个人喜好清单随机模式需要你往个人喜好清单里面增删一些英雄，具体英雄名字可以通过luyiba -l来查看。luyiba --mylist-add 寒冰射手将某个英雄添加到个人喜好清单luyiba --mylist-list列出我的个人喜好清单luyiba -m -p t从个人喜好清单中随机抽选一名上单亮点所有英雄数据不定时从英雄联盟官网获取，并保存在本地。用户可以提供一个自己喜好的英雄列表，然后从该列表中随机选择英雄。用户可以指定一个txt文件，然后从这个txt文件中随机选择一行。过滤模式： 目前提供了两种过滤，--position和--role，比如说我想从我喜爱的英雄里面今天打上单：luyiba --position=top比如说我今天打中路刺客luyiba --position=mid --role=assassin
Package: luz
Lightweight framework for structuring arbitrary reproducible neural network learning procedures using PyTorch.PyTorch code can easily become complex, unwieldy, and difficult to understand as a project develops. Luz aims to provide a common scaffold for PyTorch code in order to minimize boilerplate, maximize readability, and maintain the flexibility of PyTorch itself.The basis of Luz is the Runner, an abstraction representing batch-wise processing of data over multiple epochs. Runner has predefined hooks to which code can be attached and a State which can be manipulated to define essentially arbitrary behavior. These hooks can be used to compose multiple Runners into a single algorithm, enabling dataset preprocessing, model testing, and other common tasks.To further reduce boilerplate, the Learner abstraction is introduced as shorthand for the extremely common Preprocess-Train-Validate-Test algorithm. Simply inherit luz.Learner and define a handful of methods to completely customize your learning algorithm.Two additional abstractions are provided for convenience: Scorers, which score (i.e. evaluate) a Learner according to some predefined procedure, and Tuners, which tune Learner hyperparameters. These abstractions provide a common interface which makes model selection a two-line process.Getting StartedInstallingFrompip:pip install luzFromconda:conda install-cconda-forge-cpytorch-ckijana luzDocumentationSee documentationhere.ExamplesSee example scripts inExamples.AuthorsKi-Jana CarterLicenseThis project is licensed under the MIT License - see theLICENSEfile for details.ContributingSeeCONTRIBUTING.
Package: luzmo-sdk
#Luzmo-Python-SDKPython PackageYou will needPython Version >= 3.6pip install luzmo-sdkDocumentationFor detailed documentation, please visit theLuzmo Developer DocsUsage and ExamplesCreate a Luzmo dataset:from luzmo.luzmo import Luzmokey = "Your Luzmo key"token = "Your Luzmo token"client = Luzmo(key, token)dataset = client.create("securable", {"type": "dataset", "name" : {"en":"Example with python sdk"}})client.update("securable", dataset[" "], {"description":{"en":"This is an example description"}})Optionally for people working with VPC or on our US multitenant environment, you can also define an api_host while creating the client. If not it will default to "https://api.luzmo.com"E.g.:client = Luzmo(key, token, "https://api.us.luzmo.com")There is also the option of adding a dictionary of proxies while creating the API client.Update description of dataset:client.update("securable", dataset["id"], {"description":{"en":"Joost edited"}})Create a column in the dataset:burrito_column = client.create('column', { "type": 'hierarchy', "format": '',"informat": 'hierarchy', "order": 0,"name": {"nl": 'Type burrito'}})client.associate("securable", dataset["id"], "Columns", burrito_column["id"])Add Values to the column:client.create("data", dataset["id"], {"securable_id": dataset["id"],"type": "append", "data": [["sweet"], ["sour"]]})Replace Values in the column:client.create("data", {"securable_id": dataset["id"],"type": "replace", "data": [["bitter"], ["salty"]]})DocumentationThe API documentation (available services and methods) can be found athttps://developer.luzmo.com
Package: lvdb
LVDBThis is a vector sharding package leveraging Python generators and built-in NumPy text loading to
conserve memory within an environment with resource constraints. It aims to reduce
memory overhead through saving and loading from shard files, in essence
trading runtime for memory.Usage:The entry point for this package is the LVInstance class. This can be
imported from lvdb as LVInstance.An instance of this class should be initialized and data can be inserted into this instance.To use with GPU resources, set the device to gpu.To enable in-memory caching, set a time-to-live value.Implement an interface for either a shard or the entire store, implement the metaclass from lvdb.interfaces. This enables you to use customize external storage options like S3.
Package: lvldb
# ctypes bindings for LevelDBThe existing three [LevelDB](http://code.google.com/p/leveldb/) interfaces ([py-leveldb](http://code.google.com/p/py-leveldb/), [cpy-leveldb](https://github.com/forhappy/cpy-leveldb), [plyvel](https://github.com/wbolster/plyvel/)) use the Python C API and compile Python modules that work with LevelDB's C++ interface. This Python module simply uses the ctypes library to LevelDB's C interface - making it more portable across Python implementations and easier to install and distribute.lvldb:* Python 2-3 compatible* supports get/put/delete (with standard read/write options)* supports bloom filters* supports leveldb LRU cache* allows for manual or automatic database closing (compare with py-leveldb)* provides write batches* provides iterators (full control of leveldb iteration, with additional idiomatic python iterator support)* provides prefix-based iteration (returns iterators that work as if all keys with a shared prefix had the prefix stripped and were dumped into their own database)* provides scoped sub-databases (presents a new database wrapper backed by an existing database with all keys prefixed by some prefix)* provides range iterators (for idioms like give me all keys between start and end)* provides an in-memory db implementation (for faster unit tests)* supports snapshots* fits in one file* requires no compilation## Sample Usage```# Python3import lvldbdb = lvldb.DB("/path/to/db", create_if_missing=True)db.put("key1", "value1")db.put("key2", "value2")print(f"key1 => {db.get('key1')} ")for key, value in db:print(f"{key} => {value}")```
Package: lv-linkpy
lv-linkpya python interface to remote LabVIEW controls.Python version above 3.6 is required.This package depends on Pykit for LabVIEW, a LabVIEW addon.
For more information, please seePykit for LabVIEW documentation.Installationpip install lv-linkpyRegister the control on LabVIEWUsageCreate a sessionfromlvlinkpyimportSessions=Session(1919)Check control referencess.print_control_info()This code will print all control references outline which are registered on LabVIEW.Get control valueUser can get the value from the name of the control.
Suppose there is a control called "Boolean" in the LabVIEW.print(s.get_value("Boolean"))If the control name is incorrectly given, it will raise an error.s.get_value("fdzggZWSdgs")Set control valueUser can set the value by the name of the control.
Suppose there is a control called "Boolean" in the LabVIEW,
this code will set the control value to "True".s.set_value(valueName="Boolean",value=True)This package will perform type check before send to LabVIEW.
So, If user send a string to a bool control, it will raise an error.However,ignore_check=Truecan avoid type check on python.
It may lead an error on LabVIEW.s.set_value(valueName="Boolean",value="string")s.set_value(valueName="Boolean",value="string",ignore_check=True)mechaction=Trueargument can activate mechanical actions of the control.
(for example firing an event case)s.set_value(valueName="Boolean",value=True,mechaction=True)Notice that, a button-like latch action is not supported.
If you want to activate an event case of a button,
you can add a hidden boolean to the target event case structure on LabVIEW.
Package: lvlspy
lvlspy is a python package for working with quantum level-system data.InstallationInstall fromPyPIwith pip by
typing in your favorite terminal:$ pip install lvlspyIf you already have installed and wish to update lvlspy to the latest version, you will have to do it via:$ pip install lvlspy --upgradeWe are working on bringing lvlspy to Anaconda. For now, you will have to use the built-in pip manager in Anaconda instead of the conda package manager. This page will be updated when the package is up on Anaconda.UsageTo get familiar with lvlspy, please see our tutorialJupyter
notebooks.DocumentationThe project documentation is available athttps://lvlspy.readthedocs.io.AttributionTo cite this code, please visit theZenodopage
for this project.  From that page, you can export the appropriate reference in BibTex or other formats.AuthorsJaad A. Tannous <jtannou@g.clemson.edu>Bradley S. Meyer <mbradle@g.clemson.edu>ContributeIssue Tracker:https://github.com/jaadt7/issues/Source Code:https://github.com/jaadt7/lvlspy/LicenseThe project is licensed under the GNU Public License v3 (or later).
Package: lvlup
Lvlup- An audio playing package used directly in the mac command line======Whenever you accomplish a difficult task, finally demolish a bug,or feel you have "leveled up", use lvlup to celebrate with yourfavorite tone or short song.This is a beginner project using afplay to play audio files directlyfrom the mac command line.I encourage people to help me improve this project as I am sure itneeds a lot of work. Feel free to fork this project.Pypi- `<https://pypi.python.org/pypi/lvlup>`_Install--->>> pip install lvlupUsage--->>> afplay(~/path/to/<filename>)Place any audio files in the static folder.Use the path or name (in dictionary format) to access file.
Package: lvm2py
Introductionlvm2py is a ctypes based binding for lvm’s liblvm2app api. There are some limitations
to what it can do compared to the command line options available. For example, the
resize of Physical and Logical volumes is not implemented in the api yet. Still,
contributions are planned in the near future. This is the first release, tested using
LVM 2.2, please report any bugs or suggestions to my github repo in the links below or
by e-mail:rq.sysadmin@gmail.comDownloadsYou can download the package from PyPi:http://pypi.python.org/pypi/lvm2py/or checkout lvm2py on github:http://github.com/xzased/lvm2pyInstallationYou can get reparted using pip to install it from PyPI:pip install -U lvm2pyNoteYou must have liblvm2app installed and available from your LD_LIBRARY_PATHDocumentationYou can view the documentation and quickstart guide here:http://xzased.github.com/lvm2py
Package: lvmanager
Local Variable Manager (lvmanager)What does it do?This is a simple CLI script to encrypt, store, and set environmental variables such as certs, ,keys or tokens.usage:CLIformanagingandmaintainingtokensandkey/certs.

optionalarguments:-h,--helpshowthishelpmessageandexit-addADDAddsafiletolcm[--namerequired]-deleteDELETEDeleteasavedfile[--namerequired]-setenvSETENVExposeasavedfileasanenvironmentalvariable[--namerequired]-nameNAMENametobeused-lsDisplaywhatcurrentlystored-cleanupCleanupexposedkeys-eUseencryptionforvalueswhenstoringorsettingtheenvironment[LVMANAGER_PWisneededasanenvironmentalvariable]-getkeyGetanewencryptionkeyView stored fileslvmanager-lsAddlvmanager-addNAME_OF_FILE.key-nameproject/NAMElvmanagerwill automatically create projects if they are already not created.
The-eflag will encrypt data and will need the environmental variableLV_MANAGERto be configured.Note: If you save a.lvmanagerfile, when yousetenvthe contents of the file will be exposed, not a pointer to the file.Deletelvmanager-deleteproject/NAMEExport single variablelvmanager-setenvproject/NAME-nameAPP_TOKEN-elvmanagerwill expose the stored value NAME as APP_TOKEN and will copy the relevant commands to the clipboard to the user to manually set.
The-eflag will encrypt data and will need the environmental variableLV_MANAGERto be configured.Export projects variableslvmanager-setenvproject/-elvmanagerwill expose all values under project/ as the NAME they are stored as (in uppercase).
The-eflag will encrypt data and will need the environmental variableLV_MANAGERto be configured.Get keylvmanager-getkeyThe export command will be copied to the clipboard and will need to be set by the user. Don't lose this key!How to InstallYou can installlvmanagerthrough the setup.py file:python3setup.pyinstallPip config coming soonExampleGet and export key for encryption:lvmanager-getkeyAnd now in your clipboard you should be able to expose your key:exportLVMANAGER_PW=12345..Add the keytest.keyas token under project/ with encryption enabled:lvmanager-addtoken.lvmanager-nameproject/token-eSee whatlvmanagerhas stored:lvmanager-lsAnd we can see:(venv)lvmanager-lsproject/key.keyExpose our key and get the export command:lvmanager-setenvproject/key-nameKEY-eExport our environmental variable:exportKEY=some/path/to/.exposed/project/key.keyDelete our key from our database:lvmanager-deleteproject/keyClean up any un-encrypted data from the.exposedfile:lvmanager-cleanup
Package: lvmcache2mqtt
lvmcache2mqttPython module to publish LVM cache (dmcache) statistics to MQTT. Data can then, for instance, be used for visualization in grafana or like.ConfigurationConfiguration example:mqtt:host:mqtt_broker_hostnamedevices:-device:/dev/mapper/cached-devicedevice_alias:some_aliastarget_topic:mqtt/topic/to/publish/toUsageInstall python module withpip install lvmcache2mqtt.Run withpython -m lvmcache2mqtt
Package: lvnlp
LVNLPSetuppython3.6+pip3 install lvnlpToolsNLPPIPE_CLIENTfrom lvnlp import nlppipe_run
print(nlppipe_run('Jānis brauc uz Rīgu.', ['tokenizer', 'ner']))NER_ALLENNLPRun API:python3 -m lvnlp.ner_allennlp <MODEL_PATH>Visithttp://localhost:8800?text=Jānis brauc uz Rīgu.From code:p = TaggerPredictor.from_path(<MODEL_PATH>, 'tagger')
print(p.get_entities("""Ar cieņu , Rasa Jankovska p.k. 77923842011"""))
[{'text': 'Rasa Jankovska', 'label': 'person', 'start': 11, 'end': 25}, {'text': '77923842011', 'label': 'person_id', 'start': 31, 'end': 42}]LicenseGPL-3.0
Package: lvpyio
This package is a reader and writer for DaVis image sets, vector sets and
particle fields (.set), as well as vector fields (.vc7,.vec) and images
(.im7,.imx).Detailed documentation with examples can be downloaded at:https://www.lavision.de/en/downloads/software/python_add_ons.php.Difference between Lvpyio and Lvpyio_wrappedThere are two packages to choose from:lvpyioandlvpyio_wrapped. Their interface
is identical. Most users should uselvpyio. Users who wish to use Qt 5 andlvpyioin the same Python process might needlvpyio_wrapped. See the
documentation referenced above for details.MiscellaneousBefore version 1.3.0,lvpyiowas calledlvreader.FeedbackPlease report bugs and confusing error messages topython@lavision.de.
Package: lvpyio-wrapped
This package is a reader and writer for DaVis image sets, vector sets and
particle fields (.set), as well as vector fields (.vc7,.vec) and images
(.im7,.imx).Detailed documentation with examples can be downloaded at:https://www.lavision.de/en/downloads/software/python_add_ons.php.Difference between Lvpyio and Lvpyio_wrappedThere are two packages to choose from:lvpyioandlvpyio_wrapped. Their interface
is identical. Most users should uselvpyio. Users who wish to use Qt 5 andlvpyioin the same Python process might needlvpyio_wrapped. See the
documentation referenced above for details.MiscellaneousBefore version 1.3.0,lvpyiowas calledlvreader.FeedbackPlease report bugs and confusing error messages topython@lavision.de.
Package: lvr
lvrtells you which causes provoke which effects:>>>fromlvrimportLvr>>>values=[789,621,109,65,45,30,27,15,12,9]>>>Lvr(values).summary(guess=True){'causes':0.2,'effects':0.8,'entropy_ratio':0.71,'pareto':True}Linkscode repository:https://hg.sr.ht/~bwe/lvrdocs:https://lvr.rtfd.io