Saravanan666/pypi-org huggingface dataset:
Package: lightsleep
lightsleepLightsleep is sleep() you can interrupt with redis or websocket event or touch/write file.This is nice feature if you want to do some actions periodically AND immediately on some event.InstallInstall from pypi:pip3 install lightsleep... or install from git:pip3 install git+https://github.com/yaroslaff/lightsleeplsleeplsleep.pyis very short simple CLI utility (better then/usr/bin/sleep) which is also demo how to uselightsleeppython module.Almost useless example where lsleep is identical to/usr/bin/sleep(sleep 60 seconds):lsleep.py 60Even this example has some benefits - if your program will run external program lsleep.py instead ofsleep(), you can always send kill to lsleep (e.g. withkillall lsleep.py) and this is much more reliable then interruptingsleep()inside program. But thats same as/usr/bin/sleep.If-t/--titleset, lsleep.py will use setproctitle. So, you may calllsleep.py 600 -t mysleepand thenkillall mysleepto stop only this lsleep process.lsleep.py -hwill list all available hooks and their default optionsInterrupt sleep with touch or any writelsleep.py 300 --hook mtime path=/tmp/xYou can interrupt sleep withtouch /tmp/xorecho anything > /tmp/x.interrupt sleep with redis PUBLISH commandlsleep.py 60 --hook redis(defaults: local redis server, channelsleep)Interrupt this sleep from redis-cli:127.0.0.1:6379> PUBLISH sleep anything
(integer) 1To override defaults parameters:lsleep.py 60 --hook redis url=redis://localhost:6379/0 msg=stop ch=sleep(setingmsgto any value will requre to PUBLISH exact this value. Ifmsgis not set, any message will interrupt sleep)Interrupt sleep with websocketlsleep.py 300 --hook ws url=http://localhost:8899/ room=myapps::u1 secret=myapps-passYou may usews-emitwebsocket application as server.optionalsecretif room requires secret to join (when room name containts '::'). This should match ws-emit secret in redis, set withSET ws-emit::secret::myapps myapps-passIfeventanddataspecified, sleep will be interrupted only if websocket event name and data matches it.Using sleep in your packageSee lsleep.py code, it's very small. Example:fromlightsleepimportSleeps=Sleep(hook=['redis','msg=stop','ch=sleep'])s.sleep(60)sleep()returns message which interrupted sleep (if hook supports this). For example, if redis hook used and sleep was interrupted withPUBLISH sleep zzz,sleep()will returnzzz.
Package: lightSOM
lightSOMA Python Library for Self Organizing Map (SOM)The library implement fast  online training. The implementation of the algorithm is carefully done through matrix calculations, such asscipysparse matrix andnumexprfor calculation of Euclidean distance.PCA (or RandomPCA (default)) initialization, usingsklearnor random initialization.component plane visualization (different modes).Hitmap.U-Matrix visualization.1-d or 2-d SOM with only rectangular, planar grid. (works well in comparison with hexagonal shape, when I was checking in Matlab with somtoolbox).Quality MeasuresAfter the SOM has been trained, the map needs to be evaluated to find out if it has been optimally trained, or if further training is required. The SOM quality is usually measured with two criteria: quantization error (QE) and topographic error (TE). The QE is the average distance between each data point and its BMU, and TE represents the proportion of all data for which the first and second BMU are not adjacent with respect to the measurement of topology preservation (Kohonen, 2001).Dependencies:SOMPY has the following dependencies:numpyscipyscikit-learnmatplotlibpandasEcamplesthere are various notebooks in the examples directoryInstallation:pipinstalllightSOM
Package: lightspace
LightspaceLightspace is a Python SDK and CLI for creating streaming video inferencing applications.InstallationUse the package managerpipto install lightspace.pipinstalllightspaceUsageimportlightspace# initializes acquisitionlightspace.acquisition.something()# initializes gatewaylightspace.gateway.something()# initializes computelightspace.compute.something()ContributingNo contributions allowed at this timeLicenseMIT
Package: lightspark
Lightspark Python SDKThe Lightspark Python SDK provides a convenient way to interact with the Lightspark services from applications written in the Python language.InstallationTo install the SDK, simply run:pipinstalllightsparkDocumentationThe documentation for this SDK (installation, usage, etc.) is available athttps://docs.lightspark.com/lightspark-sdk/getting-started?language=PythonSample codeFor your convenience, we included an example that shows you how to use the SDK.
Open the fileexample.pyand make sure to update the variables at the top of the page with your information, then run it using pipenv:pipenvinstallpipenvrunpython-mexamples.exampleThere are also a few examples of webservers for demonstrating webhooks and LNURLs. These can similarly be run through Flask:pipenvinstall-dpipenvrunflask--appexamples.flask_lnurl_serverrunNote that Flask requires Python >= 3.8, so these examples will not work if running Python 3.7.
Package: lightspeed-api
Lightspeed HQ API Python LibraryUpdated for Lightspeed API V3Gives easy access to the Lightspeed retail point of sale api.To use create a new object with settings in a dictionary.  Then just specify
the endpoints and parameters in your request.For API documentation see:https://developers.lightspeedhq.com/retail/introduction/introduction/Some examples of uses:# Create a new dictionary with some settings that we will need.importlightspeed_apic={'account_id':'12345678','client_id':'developer_client_id','client_secret':'developer_client_secret','refresh_token':'special_refresh_token'}ls=lightspeed_api.Lightspeed(c)# Get a customer recordls.get('Customer/1234')# Delete a customer by id numberls.delete('Customer/1234')# Create a new customerformatted={'Customer':{'firstName':'Joe','lastName':'Smith','companyRegistrationNumber':'1234','customerTypeID':1,'Contact':{'custom':'','noEmail':'false','noPhone':'false','noMail':'false','Emails':{'ContactEmail':{'address':'joe.smith@company.com','useType':'Primary'}},'Addresses':{'ContactAddress':{'address1':'1212 Street Drive','address2':'','city':'New York','state':'New York','zip':'12345','country':'USA','countryCode':'','stateCode':''}}},}}ls.create("Customer",formatted["Customer"])
Package: lightspeed-x
Lightspeed X Series Python Wrapper (lightspeed_x)This is a simple Python wrapper for the Lightspeed X Series API. It allows you to easily interact with your Lightspeed POS system using Python code.PLEASE NOTE:This package is intended for my portfolio, rather than public use. It is subject to change or abandonment. Feel free to use it, at your own risk.InstallationInstall the package using pip:pipinstalllightspeed_xUsagefromlightspeed_ximportLightspeedX# Replace with your credentialspersonal_token="YOUR_PERSONAL_TOKEN"domain_prefix="YOUR_DOMAIN_PREFIX"# Create a LightspeedX objectlightspeed=LightspeedX(personal_token,domain_prefix)# Get all productsproducts=lightspeed.get("/products")# Create a new productnew_product={"name":"T-Shirt","sku":"TSHIRT123","price":19.99,}lightspeed.post("/products",data=new_product)# Update a product. You must specify api_version 2.1 to use this endpoint.product_id=456updated_product={"name":"T-Shirt (Updated)","price":24.99,}lightspeed.put(f"/products/{product_id}",data=updated_product,api_version="2.1",)# Delete a productlightspeed.delete(f"/products/{product_id}")FeaturesSupports all available Lightspeed X Series API endpoints.Provides convenient methods for GET, POST, PUT, and DELETE requests.Automatically handles authentication and request formatting.Allows specifying the API version for each request.Default:2.0DocumentationFull API reference:https://x-series-api.lightspeedhq.com/referenceContributingPull requests and suggestions are welcome! Please see the CONTRIBUTING.md file for details.LicenseMIT LicenseAdditional NotesRefer to the Lightspeed X Series API documentation for more details on available endpoints and data structures.Remember to replace the placeholder credentials with your own before using the code.
Package: light-sql3
Light dbLight db this is easy cover for database sqlite3How to usefromlight_sql3importDataBaseexample=DataBase(name="light_db")# Method insert (return type bool)example.insert(id="some_id",value="some_value")# Method get (return value by id)print(example.get(id="some_id"))# Method add (return type bool)example.add(id="some_id",num=100)# Method remove (return type bool)example.remove(id="some_id",num=100)# Method all (return all values from table)print(example.all())# Method update (return type bool)example.update(id="some_id",value=1000)# Method has (return type bool)print(example.has(id="some_id"))# Method delete (return type bool)example.delete(id="some_id")# I think the command names make it clear what exactly they do
Package: lightstep-streaming
LightStep Streaming: Our Streaming Python TracerThe Streaming Python Tracer, is anOpenTracingtracer which sends data toLightStep Satellites.This tracer sends data to multiple Satellites concurrently using non-blocking I/O writes. Memory is carefully managed so that spans are only copied a single time during the reporting process and streamed to Satellites as they are generated to avoid filling up memory. The Streaming Python Tracer is written in C++. There is a thin Python wrapper around this C++ core so the library can be imported just like any other Python module.SetupIf you aren't familiar with OpenTracing or LightStep, we recommend reading up before continuing.Before installing, make sure that you system meets these requirements:LinuxPython 2.7 or >= 3.2.0 (and pip)opentracing PyPI Module (>=2.2.0)To install the Streaming Python Tracer, runpip install lightstep-streaming.Getting StartedThe beauty of OpenTracing is that all tracers follow a well-defined API. The only step which varies from tracer to tracer is the setup step whenlightstep_streaming.Tracer's constructor is called. Below is a sample program which illustrates how to create a new Tracer object using the Streaming Python Tracer. For more details on how to use aTracerobject once it has been created, checkout theOpenTracing Python API Guide.importlightstep_streamingtracer=lightstep_streaming.Tracer(component_name='[your service name]',access_token='[your LightStep access token]',# Use these defaults unless you know what you're doinguse_stream_recorder=True,collector_plaintext=True,# You can put any number of Satellite endpoints in this list and the tracer# will rotate through them and send spans to each one.satellite_endpoints=[{'host':'localhost','port':8360}],# Turns off verbose logging, which is really only useful for debugging.verbose=False)# Generates one spanwithtracer.start_active_span('[your operation name]'):pass# Makes sure that the tracer has sent the span to a Satellitetracer.flush()A complete list of Streaming Python Tracer configuration parameters can be found intracer_configuration.schema.json. If you are interested in peeking at the source code, this is available in theLightStep C++ Tracer repo.
Package: light-tagger
light-tagger简单的打标工具，可以用于实现各类打标并合并成一句话。目录仓库更新 Top News所需环境 Environment预测步骤 How2predict输入输出格式 Format参考资料 ReferenceTop News2023-08:仓库创建，更新wd14打标。所需环境按需要的requirements.txt配置即可pip install -r requirements.txt(Optional) 为了方便调用，可使用pip install light-tagger或者git clone https://github.com/bubbliiiing/light-tagger.git

cd light-tagger

python setup.py install快速安装。然后，我们就可以在别的project里面使用light-tagger。预测步骤a、Demo下载完库后解压，运行predict.py即可。pythonpredict.pyb、在别的项目中使用light-tagger**。首先导入TaggerPredictor。fromlight_taggerimportTaggerPredictor根据模型名称创建模型。# "SmilingWolf/wd-v1-4-convnext-tagger-v2"

# "SmilingWolf/wd-v1-4-convnextv2-tagger-v2.onnx"

# "SmilingWolf/wd-v1-4-swinv2-tagger-v2"

# "SmilingWolf/wd-v1-4-vit-tagger-v2"

model_name  = "SmilingWolf/wd-v1-4-convnext-tagger-v2"

model       = TaggerPredictor(model_name)传入图片并且进行预测model(raw_image)输入输出格式a、inputs当前必要输入为image。无论是numpy格式还是PIL均可，使用RGB色域。b、outputs当前输出均为字典，通过不同的key调用不同的输出。1.wd14sentence代表打标结果汇总的一句话；probs代表相对于总标签集合，每个标签的得分；tags_list代表打标结果对应的list；{

    "sentence": "general, sensitive, 1girl, long hair, smile, shirt, sitting, outdoors, barefoot, water, plaid, ocean, animal, beach, dog, leash, sand, plaid shirt",

    "tags_list": ['general', 'sensitive', '1girl', 'long hair', 'smile', 'shirt', 'sitting', 'outdoors', 'barefoot', 'water', 'plaid', 'ocean', 'animal', 'beach', 'dog', 'leash', 'sand', 'plaid shirt'], 

    "probs": [3.5740888e-01, 6.6963732e-01, 4.4209361e-03, ... 4.7683716e-06, 7.1525574e-07, 4.7683716e-07],

}Referencehttps://github.com/SmilingWolf/SW-CV-ModelZoo
Package: lighttech
vegLib is a powerful Python library designed for calculating and analyzing
vegetation indices from remote sensing and spectral data. With easy-to-use
functions, it empowers researchers and developers to quantify and monitor vegetation
health, enabling precise insights into ecosystems, agriculture, and environmental studies.
vegLib is the go-to tool for extracting valuable information from spectral imagery,
contributing to more informed decisions in the realm of vegetation analysis.
MIT LicenseCopyright (c) 2023 Derraz RadhwanePermission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Package: lightText
lightText文本处理相关库，目前包括新词发现、字符串提取等功能。功能新词发现字符串提取安装pipinstalllightText建议使用国内源来安装，如使用以下命令：pipinstall-ihttps://pypi.douban.com/simple/lightText使用1.新词发现目前主要是根据统计指标判别两个词是否可以连结成一个新词，并没有考虑三个词组词的情况。主要原理是互信息和左右熵。使用示例fromlighttextimportNewWordDetectorif__name__=='__main__':detector=NewWordDetector()detector.load_file('new_word/test_new_word3.txt')print(detector.get_top_k(5))其中，文本内容如下：知识图谱（Knowledge Graph），在图书情报界称为知识域可视化或知识领域映射地图，是显示知识发展进程与结构关系的一系列各种不同的图形，用可视化技术描述知识资源及其载体，挖掘、分析、构建、绘制和显示知识及它们之间的相互联系。
知识图谱是通过将应用数学、图形学、信息可视化技术、信息科学等学科的理论与方法与计量学引文分析、共现分析等方法结合，并利用可视化的图谱形象地展示学科的核心结构、发展历史、前沿领域以及整体知识架构达到多学科融合目的的现代理论。它能为学科研究提供切实的、有价值的参考。
具体来说，知识图谱是通过将应用数学、图形学、信息可视化技术、信息科学等学科的理论与方法与计量学引文分析、共现分析等方法结合，并利用可视化的图谱形象地展示学科的核心结构、发展历史、前沿领域以及整体知识架构达到多学科融合目的的现代理论。它把复杂的知识领域通过数据挖掘、信息处理、知识计量和图形绘制而显示出来，揭示知识领域的动态发展规律，为学科研究提供切实的、有价值的参考。迄今为止，其实际应用在发达国家已经逐步拓展并取得了较好的效果，但它在我国仍属研究的起步阶段。运行结果[('知识_图谱', 0.4759861448031701), ('可视化_技术', 0.43589887951973), ('知识_领域', 0.4213569981012666), ('共现_分析', 0.38939972966154035), ('计量学_引文', 0.3790459908198307)]2.字符串提取基于AC自动机的高效的字符串匹配提取工具，可以直接得到覆盖最多字的提取结果。主要原理是AC自动机、字典树、动态规划算法。使用示例fromlighttextimportKeywordProcessorif__name__=='__main__':kp=KeywordProcessor()kp.add_keyword("曹操")kp.add_keyword("曹丕")kp.add_keyword("司马懿")kp.add_keyword("司马")stn="曹操、曹丕和司马懿一起去吃大盘鸡。"print(kp.extract_keywords(stn))运行结果['曹操', '曹丕', '司马懿']参考NLP基于互信息和左右信息熵的短语提取识别-码农场互联网时代的社会语言学：基于SNS的文本数据挖掘 | Matrix67: The Aha Momentspython3实现互信息和左右熵的新词发现 - 简书源码xylander23/New-Word-Detection: 新词发现算法(NewWordDetection)zhanzecheng/Chinese_segment_augment: python3实现互信息和左右熵的新词发现vi3k6i5/flashtext: Extract Keywords from sentence or Replace keywords in sentences.PythonCan't pickle local object 'DataLoader.init..' - vision - PyTorch Forumspython3.X中pickle类的用法（cPickle模块移除了）_python,pickle_lanqiu5ge的专栏-CSDN博客python - copy.deepcopy vs pickle - Stack OverflowPython中collections.defaultdict()使用 - 简书数据结构Trie树（字典树）打赏如果该项目对您有所帮助，欢迎打赏~
Package: light-text-classification
A lightbox library for text classification, collected state-of-art solution from recent years.Free software: MIT licenseInstallationpip install light-text-classificationDocumentationhttps://light-text-classification.readthedocs.io/DevelopmentTo run the all tests run:toxNote, to combine the coverage data from all the tox environments run:Windowsset PYTEST_ADDOPTS=--cov-append
toxOtherPYTEST_ADDOPTS=--cov-append toxChangelog0.1.0 (2018-11-22)First release on PyPI.
Package: light-text-prepro
Light Text Pre-processingLight Text Pre-processingis an easy-to-use python module that permits to apply a chain of built-in regex rules to a input string. Regex rules are stored in a separate YML file and compiled at run-time. The compiling mechanism and how to add a custom regex are described below.How it worksPackage reads a list of regex fromlight_text_prepro/rules/regex.yml.  Each row inregex.ymlidentifies a regex rule such asuser_tag: '"@[0-9a-z](\.?[0-9a-z])*"'. In this row,user_tagis thekeyof the regex, whereas the'"@[0-9a-z](\.?[0-9a-z])*"'is itsvalue.At run-time, the package reads theregex.ymland compiles a method for each regex, the method is named as the thekeyof the row. For example, at the end of the process, you will be able to call theuser_tag()method, that permit to match the user tagged. Each method has the optional parameterreplace_withthat allow you to replace the string matched by regex rule with an arbitrary text.Package installationList of Regexuser_tag:'"(?<![\w@])@([\w@]+(?:[.!][\w@]+)*)"'email:'"([^@|\s]+@[^@]+\.[^@|\s]+)"'url:'"(https?:\/\/(?:www\.|(?!www))[a-zA-Z0-9][a-zA-Z0-9-]+[a-zA-Z0-9]\.[^\s]{2,}|www\.[a-zA-Z0-9][a-zA-Z0-9-]+[a-zA-Z0-9]\.[^\s]{2,}|https?:\/\/(?:www\.|(?!www))[a-zA-Z0-9]+\.[^\s]{2,}|www\.[a-zA-Z0-9]+\.[^\s]{2,})"'punctuation:'"[-!`?,.\":;]"'parentheses:'"[\[\]{}()]"'special_chars:'"[$%^&*_+|~=<>:;\\]"'ip_address:'"(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)$"'html_tag:'"^<([a-z]+)([^<]+)*(?:>(.*)<\/\1>|\s+\/>)$"'tab_new_line:'"(\n|\t|\r)"'multiple_space:'"[]+"'emoji:'"[^\u1F600-\u1F6FF\s]"'If you are happy wiht the list above, you can install the package via pip.pip install light-text-preproHow to usefromlight_text_prepro.lpreproimportLPrePro...obj=LPrePro()...result=obj.set_text('Hey @username, this is my email my@email.com')\.user_tag(replace_with='[user]')\.email(replace_with='[email]')\.get_text()# result -> Hey [user], this is my email [email]Otherwise, if you want to contribute to enrich the package adding your regex rule, please follow section below.How to add a regex rulesSetup project$> git clone https://github.com/Arfius/light-text-prepro.git
$> cd light-text-prepro
$> pip install poetry flake8
$> poetry installAdd  new regexOpenlight_text_prepro/rules/regex.ymland add a new row. Make sure to use a unique key for the rule. If  you get issue adding the regex rule, use any online regex validation tool and export the regex rule for python. (i.e.https://regex101.com/=> FLAVOR python => Copy to clipboard )Add aunit testsunder thetestsfolder and make all test passed.  Use$> poetry run pytestto run unit tests.Update the  sectionList of Regexat the end of this file.Create a Pull Request
Package: lighttuner
LightTunerA simple hyper-parameter optimization toolkit:hpo: automatic hyper-parameter tuningscheduler: automatic task resource schedulerInstallationYou can simply install it withpipcommand line from the official PyPI site.pipinstalllighttunerOr install from latest source code as follows:gitclonehttps://github.com/opendilab/LightTuner.gitcdLightTuner
pipinstall.--userQuick Start for HPOHere is a simple example:importrandomimporttimefromditkimportloggingfromlighttuner.hpoimporthpo,R,M,uniform,randint@hpodefopt_func(v):# this function is still usable after decoratingx,y=v['x'],v['y']time.sleep(5.0)logging.info(f"This time's config:{v!r}")# log will be capturedifrandom.random()<0.5:# randomly raise exceptionraiseValueError('Fxxk this shxt')# retry is supportedreturn{'result':x*y,'sum':x+y,}if__name__=='__main__':logging.try_init_root(logging.DEBUG)print(opt_func.bayes()# random algorithm.max_steps(50)# max steps.minimize(R['result'])# the maximize/minimize target you need to optimize,.concern(M['time'],'time_cost')# extra concerned values (from metrics).concern(R['sum'],'sum')# extra concerned values (from return value of function).stop_when(R['result']<=-800)# conditional stop is supported.spaces(# search spaces{'x':uniform(-10,110),# continuous space'y':randint(-10,20),# integer based space'z':{# 't': choice(['a', 'b', 'c', 'd', 'e']),  # enumerate space't':uniform(0,10),# enumerate space is not supported in bayesian optimization},}).run())This optimization progress is parallel, which has n (number of cpus) workers in default. If you need to customize the
count of workers, just usemax_workers(n)method.Quick Start for SchedulerYou can refer tolighttuner/scheduler/README.mdfor more details.ContributingWe appreciate all contributions to improveLightTuner, both logic and system designs. Please refer to CONTRIBUTING.md
for more guides.LicenseLightTunerreleased under the Apache 2.0 license.
Package: light-uniquebots
light-uniquebotsUniqueBots를 위한 길드수 업뎃만 하는 모듈.기능서버수 자동 업데이트이 외의 기능은 추가할 생각이 없습니다설치pip install light-uniquebots예제importlight_uniquebotsaslubimportdiscordclient=discord.Client()ubot_token="uniquebots_token"lub_client=lub.LUBClient(bot=client,token=ubot_token)client.run("discord_token")
Package: lightup-airflow-provider
Airflow Provider for LightupAirflow configurationAdd the required connectionGo to Admin > Connections and add connection:Put refresh token (https://docs.lightup.ai/reference/post_api-v1-token-refresh) into Password section, and save.Add the required variablesGo to Admin > Variables and add connection:Key: lightup_api_versionVal: v1OperatorsLightupTriggerOperator: Triggers the Lightup platform based on configuration to collect metrics and evaluate them.SensorsLightupTriggerResultSensor: Connects to the Lightup platform and checks the progress of the trigger operator. Returns when the trigger operation has been processed by the platform. Once the sensor returns, results can be pulled using the LightupTriggerResultOperator.
Package: lightvolume
This package provides the modulelightvolume, which offers a CFFI binding
totrylock/visibility. This, in turn, is a C++ implementation ofthe
visibility algorithmdocumented in detail (with awesome interactive demos)
on the Red Blob Games website.APIFirst, importlightvolume:import lightvolumeThen, we can create a number of shadow-casting bodies:objects = [
    lightvolume.rect(0, 0, 500, 500),  # outer bounds - this is needed
    lightvolume.rect(20, 30, 10, 20),
    lightvolume.rect(290, 300, 100, 300),
]Finally, we can render the lit area cast by a light in this scene (an OpenGL
context must already have been created and appropriate GL state set):light = 90, 200
lightvolume.draw_light(light, objects)This module is intended to be used with appropriate shaders to provide
attenuation, surface interactions such as bump mapping, and so on.