Saravanan666/pypi-org huggingface dataset:
Package: lambdas
Write short and fully-typedlambdas where you need them.FeaturesAllows to writelambdas as_Fully typed with annotations and checked withmypy,PEP561 compatibleHas a bunch of helpers for better compositionEasy to start: has lots of docs, tests, and tutorialsInstallationpipinstalllambdasYou also need to configuremypycorrectly and install our plugin:# In setup.cfg or mypy.ini:[mypy]plugins=lambdas.contrib.mypy.lambdas_pluginWe recommend to use the samemypysettingswe use.ExamplesImagine that you need to sort an array of dictionaries like so:>>>scores=[...{'name':'Nikita','score':2},...{'name':'Oleg','score':1},...{'name':'Pavel','score':4},...]>>>print(sorted(scores,key=lambdaitem:item['score']))[{'name':'Oleg','score':1},{'name':'Nikita','score':2},{'name':'Pavel','score':4}]And it works perfectly fine.
Except, that you have to do a lot of typing for such a simple operation.That's wherelambdashelper steps in:>>>fromlambdasimport_>>>scores=[...{'name':'Nikita','score':2},...{'name':'Oleg','score':1},...{'name':'Pavel','score':4},...]>>>print(sorted(scores,key=_['score']))[{'name':'Oleg','score':1},{'name':'Nikita','score':2},{'name':'Pavel','score':4}]It might really save you a lot of effort,
when you use a lot oflambdafunctions.
Like when usingreturnslibrary.We can easily create math expressions:>>>fromlambdasimport_>>>math_expression=_*2+1>>>print(math_expression(10))21>>>complex_math_expression=50/(_**2)*2>>>print(complex_math_expression(5))100.0Work in progress:_.method()is not supported yet for the same reasonTypedDicts are not tested with__getitem____getitem__does not work with list and tuples (collections), only dicts (mappings)For now you will have to use regularlamdbas in these cases.
Package: lambdasdk
lambdaSdkeasy invoking lambda functionswritten on top of boto3, for the shortest way to invoke aws lambda functionsInstallpip install lambdasdkHow to useprepareCreate user and set up credsIf not on aws, you need to create iam account and map the following keysuser and pwif not on awsuser = aws_access_key_id
pw = aws_secret_access_keyif run on awsuser = None
pw = None
sessionToken = Nonefrom lambdasdk.lambdasdk import Lambdalambda_ = Lambda(
    user = None,
    pw = None,
    sessionToken = None,
    region = 'ap-southeast-1'
)lambda_.invoke(
    functionName= 'lambda-pip' ,
    input = {'test':'test'}, 
    invocationType= 'RequestResponse' 
){'statusCode': 200, 'body': '"Hello from Lambda!"'}
Package: lambda-sigterm
Lambda SIGTERM - Allows graceful shutdown of Lambdas using PythonTheLambda Extensions APIallows lambdas to register extensions. Once an extension is registered, the Lambda runtime will send a SIGTERM to the function code so the extension can collect metrics, etc.What if you want the benefits of getting SIGTERM signals without the overhead of third-party extensions which collect metrics? Uselambda-sigterm!This library creates a noop extension. All the extension does is register itself with the Lambda Extensions API, then blocks on a background thread. This makes it so the Lambda handler will receive SIGTERM signals. The library code usesurllib3(included with the Lambda Python runtime) and Python stdlib libraries, so there are no external dependencies in the Lambda environment.Installation$pipinstalllambda_sigtermHow To UseTo use, import thelambda_sigtermmodule and call theregister()function:importsignalimportlambda_sigtermlambda_sigterm.register()defhandle_sigterm(signum,frame):print("sigterm captured")signal.signal(signal.SIGTERM,handle_sigterm)Full Exampleimportsignalimportlambda_sigtermlambda_sigterm.register()defhandle_sigterm(signum,frame):print("sigterm captured")signal.signal(signal.SIGTERM,handle_sigterm)deflambda_handler(event,context):print("your application code has started")registerArgumentskeyword_argdefaultdescriptionexampleloggerNonealoggingLoggerto use, creates a new logger if none (falsy) is suppliedlogging.getLogger('myapp')log_levellogging.ERRORlog-level for the logger if none is suppliedlogging.INFOlog_level_debug_msglogging.DEBUGlog-level for debug logslog_level_info_msglogging.INFOlog-level for info logslog_level_error_msglogging.ERRORlog-level for error logslambda_runtime_api_host""this is the extensions API host to register the extension with, if unset (default) then this is read from the environment variableAWS_LAMBDA_RUNTIME_API
Package: lambdasim
lambdasimPython library to interact withLambda(FDTD acoustic simulations)Free software: BSD licenseFeaturesRead and write simulationsCreate complex simulation setups using vector shapesEmbed sampled sources in a simulationConvert sensor data to audioCalculate real-world dimensions of simulationPreset shapes like tubes, bells, resonatorsPrecalculation of dead nodes to speed-up calculationsInstallationInstall Lambda. Downloadbinariesor install fromsourceClone this repo:` $ git clonehttps://github.com/gesellkammer/lambdasim`Install it:` $ pip install-rrequirements.txt $ python setup.py install `Dependenciesshapelyshapelibbpf4sndfileio
Package: lambdaskill
A simple Python 3 toolkit to buildAlexa
SkillsusingAWS
Lambda.lambdaskillitself has no external dependencies beyond the Python
standard library. However, the included utilties package requires the
aniso8601 package.The interface is pretty straight-forward. Just subclass the Skill class
to create your own skill. Add methods named likedo_yourintent()to
handle an intent named ‘yourintent’. Use theResponseobject to
prepare a response.Cards can be attached to the response if
desired. The lambda function handler is obtained by calling theget_handler()class method on your new class.The following is a simple demo that would respond to an intent called
‘hellointent’ that has a slot named ‘NAME’:fromlambdaskillimport*classDemoSkill(Skill):defdo_hellointent(self,request):slots=request.get_slots()name=slots['NAME']returnResponse.respond('Hello,{}'.format(name))handler=DemoSkill.get_handler()Note that intents that include characters not permitted in Python method
names (such as the Amazon built-in intents, ex:
AMAZON.SearchActionobject@WeatherForecast%5Btemperature%5D) can be
handled as follows (extending the example above):@DemoSkill.intent('AMAZON.SearchAction<object@WeatherForecast[temperature]>')defweather_intent_handler(self,request):returnResponse.respond('You asked about the weather.')Which will add the intent handler to the class definition with an
appropriately mangled name. Obviously, you would include these lines
before the call toget_hander(), as theget_handler()call
creates an instance of the class and returns the handler method of that
instance.
Package: lambdata-austinwolff
Random Helper ModuleFirst, install:$ pip install AustinWolffHelperFunctionThen, you can import the following modulesfrom lambdata_austinwolff:from lambdata_austinwolff import helper_function
from lambdata_austinwolff import vehicle
from lambdata_austinwolff import studentThis module can:Remove IQR outliers from a dataframe (analyzed by column) andReturn random seed phrases.Seehelper_function.pyfor more information.
Package: lambdata-dustinstringer
lambdata-dustinstringerA collection of datascience utility functions.Installation:pip install lambdata-dustinstringerModules:dustydata.wild_westexample: import on the module levelfrom dustydata import wild_westClasses:dustydata.wild_west.johnWayne(dataframe, check_null=boolean, check_data_types=boolean)example: import class and instatiate the class with its parametersfrom dustydata.wild_west import johnWayne

  new_wrangler = johnWayne(
      dataframe=dataframe,
      check_null=boolean,
      check_data_types, )Attributes/Methods/Functions:dustydata.wild_west.johnWayne.cardinality_cutter(threshold=int)dustydata.wild_west.johnWayne.tri_split(val_size=float, test_size=float)
Package: lambdata-henry
lambdataPython package for DSThis is a simple example package created by Henry Gultom as an
assignment for Data Science class.
The package is about:Conversion of State_abbreviation (sample: FL to Florida, and vice versa)date conversion to: year, month, and daysample of date dataframe:
df = pd.DataFrame({'date': ['2018-08-09 11:10:55','2019-03-02 13:15:21']})My test.pypi is on:https://test.pypi.org/project/lambdata-henry/
Package: lambda-thread-pool
AWS Lambda thread pool (lambda-thread-pool)You cannot use "multiprocessing.Queue" or "multiprocessing.Pool" within a Python Lambda environment because the Python Lambda execution environment does not support shared memory for processes.You will see an issue if you attempt to use Pool:{
  "errorMessage": "[Errno 38] Function not implemented",
  "errorType": "OSError",
  "requestId": <request_id>,
  "stackTrace": [
    "  File \"/var/task/lambda_function.py\", line 10, in lambda_handler\n    pool = Pool(10)\n",
    "  File \"/var/lang/lib/python3.9/multiprocessing/pool.py\", line 927, in __init__\n    Pool.__init__(self, processes, initializer, initargs)\n",
    "  File \"/var/lang/lib/python3.9/multiprocessing/pool.py\", line 196, in __init__\n    self._change_notifier = self._ctx.SimpleQueue()\n",
    "  File \"/var/lang/lib/python3.9/multiprocessing/context.py\", line 113, in SimpleQueue\n    return SimpleQueue(ctx=self.get_context())\n",
    "  File \"/var/lang/lib/python3.9/multiprocessing/queues.py\", line 341, in __init__\n    self._rlock = ctx.Lock()\n",
    "  File \"/var/lang/lib/python3.9/multiprocessing/context.py\", line 68, in Lock\n    return Lock(ctx=self.get_context())\n",
    "  File \"/var/lang/lib/python3.9/multiprocessing/synchronize.py\", line 162, in __init__\n    SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)\n",
    "  File \"/var/lang/lib/python3.9/multiprocessing/synchronize.py\", line 57, in __init__\n    sl = self._semlock = _multiprocessing.SemLock(\n"
  ]
}AWS Lambda thread pool (lambda-thread-pool) uses "multiprocessing.Pipe" instead of "multiprocessing.Queue". It provides the ability to perform parallel execution within the AWS lambda Python execution environment.Prerequisitespython3pipAWS CredentialsInstallpip install lambda-thread-poolUsagefrom lambda_thread_pool import LambdaThreadPool


def test_func(index, message):
    print(index, message, end='\n')
    return message


def lambda_handler(event, context):
    pool = LambdaThreadPool()

    results = []

    for i in range(10):
        res = pool.apply_async(test_func, (i, f'Message: {i}'))
        results.append(res)

    pool.join()

    for result in results:
        print('Result:', result.get())
Package: lambda-toolkit
lambda-toolkitNow compatible with Python 2 and 3.Now compatible with Linux, Mac and Windows.Top FeaturesInvoke locally lambdas in your machine with simulated events or real eventsEasy import and deploy your lambdas in different regions (v0.3.0)Supporting Lambda Environment Variables (Even in local execution) (v0.3.3)ContributingWe are open to contributions. Also let we know if you need some feature that is not implemented or it’s not working properly. Please feel free to open an Issue in the Github project requesting fixes or new features.Easy to use and installWe provide a step-by-step installation guide with installation manual and how to use.Access nowhere.Documentationhttp://lambda-toolkit.readthedocs.io/GitHub Projecthttps://github.com/lucioveloso/lambda-toolkitInstallation:$ pip install lambda-toolkit -ULambda-toolkit offers a lambda proxyUsing lambda-toolkit proxy you’re able to debug real events in real time in your own machine.See how it works.After you create a proxy, you’re able even to put breakpoints in your code, like the example below:Lambda-toolkit offers lambda tailing
Package: lambdautils
Basic utilities for Lambda event processors that are deployed usinghumilislambdareferences.DevelopmentAssuming you havevirtualenvinstalled:make developTestingTo run the local test suite (does not require deployment):make testContactIf you have questions, bug reports, suggestions, etc. please create an
issue on theGitHub project
page.LicenseThis software is licensed under theMIT
license.SeeLicense
file.© 2016 German Gomez-Herrero,FindHoteland
others.
Package: lambda_utils
===============================Lambda Utils===============================.. image:: https://img.shields.io/pypi/v/lambda_utils.svg:target: https://pypi.python.org/pypi/lambda_utils.. image:: https://img.shields.io/travis/CloudHeads/lambda_utils.svg:target: https://travis-ci.org/CloudHeads/lambda_utils.. image:: https://readthedocs.org/projects/lambda_utils/badge/?version=latest:target: https://lambda_utils.readthedocs.io/en/latest/?badge=latest:alt: Documentation Status.. image:: https://pyup.io/repos/github/CloudHeads/lambda_utils/shield.svg:target: https://pyup.io/repos/github/CloudHeads/lambda_utils/:alt: UpdatesA collection of AWS Lambda Utils / Decorator for different AWS events e.g. Api Gateway, S3, CloudFormation, CloudWatch* Free software: MIT license* Documentation: https://lambda_utils.readthedocs.io.Features--------* TODOCredits---------This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.=======History=======0.1.11 (2017-02-11)------------------* ApiGateway loads automatically the body on applicat/json content-type0.1.0 (2017-02-06)------------------* First release on PyPI.
Package: lambdAWS
LambdAWS
람다에서 자수 사용하는 AWS명령어를 래핑한 모듈입니다.
사용하려는 기능에 대한 IAM 권한만 충분히 가지고 있다면 바로 사용할수 있습니다.
만약 lambda가 아닌 로컬에서 이 모듈을 사용하려는 경우 boto3를 설치하셔야 합니다
- 현재 구현된것
- S3트리거 이벤트에 대한 S3객체 가져오기 및 다운로드 작업
- s3 -> sns -> 람다 트리거 이벤트에 대한 S3객체 가져오기 및 다운로드 작업계획
- python3.6으로 리펙토링
- 이벤트, 리소스 별로 객체화 시키기참고
- 이전 python2.7코드는 점점 줄여 나가서 최종적으로 완전히 삭제할 예정 입니다
Package: lambda-wsgi-adapter
lambda-wsgi-adapterWSGI adapter for AWS LambdaInstall$ pip install lambda-wsgi-adapterUsagefromwsgi_adapterimportLambdaWSGIHandlerfromdjango_project.wsgiimportapplicationdeflambda_handler(event,context):handler=LambdaWSGIHandler(application)returnhandler(event,context)LicenseMIT LicenseCopyright (c) 2023 Ekene Izukanne
Package: lambdazen
Supports Python 2.6 - 3.5What is this?A better python lambda syntax for your anonymous function needs.Writea = (x) > xinstead ofa = lambda x: x. See below for
syntax caveats.Get started immediately:pip install lambdazenfromlambdazenimportzendefotherfunc(*args):printsum(args)# The zen decorator allows you to define lambdas with a better syntax@zendefexample():example.epic=(x,y,z)>otherfunc(x,y,z)# Multiline lambdas are a tuple or list of statements# The assignment operator inside is << instead of =# The last statement is the return valueexample.multiline=(x,y,z)>(s<<otherfunc(x,y,z),s)# Call function so the lambdas are bound to function attributesexample()example.epic(1,2,3)>>>6example.multiline(1,2,3)>>>6Caveatsbetter lambdas can only be defined in a function with the@zenattributeany other code in this function will be executed, it’s best to use
the function as a container of lambdasHow does it workRead the storyTLDR; Runtime in-memory source rewriting and recompilationAdditional Examplesfromlambdazenimportzen# Lambdas don't need to be bound to the function@zendefnormalizeString(nS):transforms=[(s)>s.strip(),(s)>s.lower(),(s)>s.replace(' ','_')]apply_all=(transforms_list,s)>(is_done<<(len(transforms_list)==0),current_transform<<transforms_list[0]ifnotis_doneelseNone,remaining_transforms<<transforms_list[1:]ifnotis_doneelseNone,current_transform(apply_all(remaining_transforms,s))ifnotis_doneelses)returnapply_all(transforms,nS)normalizeString("Abraham Lincoln")>>>"abraham_lincoln"
Package: lambdev
lambdevA simple interface wrapped around a boto3 lambda client, lambdev simplifies testing, deploying, and versioning AWS lambda
functions from your local development environment.Installationpip install lambdevConfigurationAWS credentialsPlease refer to theboto3documentation on configuring your aws credentials. Best option when working with lambdev is to store your credentials
(AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY) and region (AWS_DEFAULT_REGION) as environment variables.create .lambdevignore.txtcreate a file called.lambdevignore.txtwhere you can list thenamesof files and directories that are in your project folder
that you would like to exclude from your lambda function deployment package.for example:env
test.py
build.sh
function_name.txtAll hidden files (names that start with.) are
ignored by default (ie.gitignore) and do not need to be added to the ignore file.Usagesimply run the lambdev functions from the root directory of your AWS lambda function project folder.Available functions:lambdev.create()creates a new lambda function by uploading a deployment package from the non-ignored files in the working directory.
Saves new function ARN in$WORKINGDIR/function_name.txt.lambdev.test()uploads non-ignored code in working dir to lambda function$latestchannel, invokes it, and returns log.lambdev.publish()publishes code in$latestand updates input alias to point to new version.ExamplesExample files can be foundhere
Package: lambdify
λambdifylambdifyallows you to create AWS Lambda function directly from
the python code.Just like that:installlambdify…$pipinstalllambdify…create AWS Lambda with 4 lines of code:fromlambdifyimportLambda@Lambda.f(name='echo')defecho(*args,**kwargs):returnargs,kwargsecho.create()if__name__=='__main__':importgetpassecho(msg='Hello,{user}!'.format(user=getpass.getuser()))Now you can head over to yourAWS Lambda consoleand behold yourechofunctionThe goalLambdify aims to unite convenient task queues API (i.e.Celery,Hue,RQ’s @job decorator) with AWS Lambda service coolest
features.At present, there are some solutions, that allow you to create and
deploy lambdas, likeZappa,lambda-uploader,lambderetc.,
but they still have limitations of not being able to interact directly
with a python program.lambdify overcomes such limitations by using the following algorithm:Documentation>>>fromlambdifyimportLambda>>>help(Lambda)
Package: lambdser
lambdserA lambda expression serializer for python. Can be used to make pickle eat lambdas with closures.A typical use case is serializing lambdas for multiprocessing. Using lambdser in front, let multiprocessing eat
the lambda expression.Installpip install lambdseror install it from githubpip install git+https://github.com/cloasdata/lambdser.gitor just clone ittodoI did not find a way to register lambdser es pickler in the pickle module. It would be really useful
if somebody can help me. However, one can use the LambdserPickler class
to overwrite the default behaviour of pickle.Pickler (?) or use LamdserPickler as the one pickler.I also did not test for particular edge cases. But feel free to contribute such tests.usageExample 1: module namespaceusing it in module namespace.importpickleimportlambdsertwo="2"expression=lambdax:"number"+x+tworesult1=expression("4")ser=lambdser.dumps(expression)# now pickle can dump!s=pickle.dumps(ser)ser=pickle.loads(s)expression=lambdser.loads(ser)result2=expression("4")assertresult1==result2Example 2: Using closureMake a proxy of what you want to spawn in a separate process.importlambdserimportmultiprocessingasmpdefmake_proxy(para,*funcs):# make proxy for the mpser_list=[]forfinfuncs:ser_list.append(lambdser.dumps(f))returnpara,ser_listdefprocessor(*ser):# unzip the proxy and to the workpara,funcs=serfuncs=[lambdser.loads(ser)forserinfuncs]res=Noneforfinfuncs:res=f(para)print(res)returnresdefdo_stuff():two="2"ser=make_proxy("4",lambdax:x+two)mp.Process(target=processor,args=ser).start()do_stuff()performanceit is around 100 times faster than dill. This was one reason to develop this package.py .\test\profiling.py

Results dumps
lambdser: 0.012459
dill:     1.485589
times:    119.236291Copyright © 2022 Simon BauerPermission 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: lamb-engine
🐑 Lamb: A Lambda Calculus EnginePrimary RepoGithub Mirror:brain: What is lambda calculus?video 1: Introduction and boolean logic. The first few minutes are a bit confusing, but it starts to make sense at about6:50video 2: Continuation of video 1. Features combinators and numerals.blog: Another introduction. Moves slower than the two videos above and doesn't assume CS knowledge. Four-part series.handout: A handout I've written on lambda calculus. Solutions are available somewhere ongit.betalupi.com. You'll have to find them yourself if you want them.:package: InstallationMethod 1:PyPi(Optional but recommended)make and enter avenvOn Windows, run the following in cmd or powershell:cd Desktoppython -m venv lamb.\Scripts\activatepip install lamb-enginelambMethod 2: GitClone this repository.Make and enter avirtual environment.cdinto this directoryRunpip install .Runlamb📖 UsageType expressions into the prompt, and Lamb will evaluate them.Use your\(backslash) key to type aλ.To define macros, use=. For example,==> T = λab.a
==> F = λab.a
==> NOT = λa.a F TNote that there are spaces inλa.a F T. With no spaces,aFTwill be parsed as one variable.Lambda functions can only take single-letter, lowercase arguments.λA.Ais not valid syntax.Free variables will be shown with a', likea'.Macros are case-sensitive. If you define a macroMACand accidentally writemacin the prompt,macwill become a free variable.Numbers will automatically be converted to Church numerals. For example, the following line will reduce toT.==> 3 NOT FIf an expression takes too long to evaluate, you may interrupt reduction withCtrl-C.Exit the prompt withCtrl-CorCtrl-D.There are many useful macros inmacros.lamb. Download the file, then load them with the:loadcommand:==> :load macros.lambYou can also pass files to lamb directly to have them loaded at startup:lamb file1 file2Use your up/down arrows to recall history.Have fun!:card_file_box: CommandsLamb understands many commands. Prefix them with a:in the prompt.:helpPrint a help message:clearClear the screen:rlimit [int | None]Set maximum reduction limit.:rlimit nonesets no limit.:macrosList macros.:mdel [macro]Delete a macro:delmacDelete all macros:step [yes | no]Enable or disable step-by-step reduction. Toggle if no argument is given. When reducing by steps, the prompt tells you what kind of reduction was done last:M: Macro expansionC: Church expansionH: History expansionF: Function application:expand [yes | no]Enable or disable full expansion. Toggle if no argument is given. If full expansion is enabled, ALL macros will be expanded when printing output.:save [filename]:load [filename]Save or load macros from a file.
The lines in a file look exactly the same as regular entries in the prompt, but can only contain macro definitions. Seemacros.lambfor an example.Todo:Prevent macro-chaining recursionCleanup warningsTruncate long expressions in warningsLoop detectionα-equivalence checkUnchurch command: make church numerals human-readableBetter syntax highlightingTab-complete file names and commandsLoad default macros without manually downloadingmacros.lamb(viarequests, maybe?)Tests