Saravanan666/pypi-org huggingface dataset:
Package: jarvis-tools
# JARVIS-ToolsThe JARVIS-Tools is an open-access software package for atomistic
data-driven materials design. JARVIS-Tools can be used for a) setting up
calculations, b) analysis and informatics, c) plotting, d) database
development and e) web-page development.Detailed documentation available at:https://pages.nist.gov/jarvis/[![image](https://badge.fury.io/py/jarvis-tools.svg)](https://pypi.org/project/jarvis-tools/)
[![image](https://anaconda.org/conda-forge/jarvis-tools/badges/version.svg)](https://anaconda.org/conda-forge/jarvis-tools)
[![image](https://img.shields.io/github/v/tag/usnistgov/jarvis)](https://github.com/usnistgov/jarvis)
[![image](https://ci.appveyor.com/api/projects/status/d8na8vyfm7ulya9p/branch/master?svg=true)](https://ci.appveyor.com/project/knc6/jarvis-63tl9)
[![image](https://github.com/usnistgov/jarvis/workflows/JARVIS-Tools%20github%20action/badge.svg)](https://github.com/usnistgov/jarvis)
[![image](https://github.com/usnistgov/jarvis/workflows/JARVIS-Tools%20linting/badge.svg)](https://github.com/usnistgov/jarvis)
[![image](https://img.shields.io/codecov/c/github/knc6/jarvis)](https://codecov.io/gh/knc6/jarvis)
[![image](https://img.shields.io/pypi/dm/jarvis-tools.svg)](https://img.shields.io/pypi/dm/jarvis-tools.svg)
[![image](https://pepy.tech/badge/jarvis-tools)](https://pepy.tech/badge/jarvis-tools)
[![image](https://zenodo.org/badge/DOI/10.5281/zenodo.3903515.svg)](https://doi.org/10.5281/zenodo.3903515)
[![image](https://img.shields.io/github/commit-activity/y/usnistgov/jarvis)](https://github.com/usnistgov/jarvis)
[![image](https://img.shields.io/github/repo-size/usnistgov/jarvis)](https://github.com/usnistgov/jarvis)
[![image](https://img.shields.io/badge/JARVIS-Figshare-Green.svg)](https://figshare.com/authors/Kamal_Choudhary/4445539)
[![image](https://img.shields.io/badge/JARVIS-ToolsDocs-Green.svg)](https://pages.nist.gov/jarvis)
[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/JARVIS-Materials-Design/jarvis-tools-notebooks)
Package: jarvisub
𝙹𝙰𝚁𝚅𝙸𝚂 𝚄𝚂𝙴𝚁𝙱𝙾𝚃 🇮🇳 ™A USERBOT WITH MORE SECURITY AND ASSISTANTBest UserBot To Manage Your Telegram AccountMost PowerFul And Better And SecureBy Team #JARVIS™Speacial Thanks To Friday For Their Assistant Modules BasesThis Bot is Made With care No Adult Contents and Abusive Memes. If Any Tell in Issue Column With Command Name.Video Tutorial By InfotelFor any query or want to know how it works join Group And ChannelInstalling HerokuThe Easy WayGET STRING SESSION FROM REPL RUNThe Normal WaySimply clone the repository and run the main file:git clone https://github.com/Jarvis-Works/JARVISuserbot/
cd jarvis
virtualenv -p /usr/bin/python3 venv
. ./venv/bin/activate
pip install -r requirements.txt
# <Create local_config.py with variables as given below>
python3 -m jarvisAn examplelocal_config.pyfile could be: Not All of the variables are mandatory The Userbot should work by setting only the first two variablesfrom heroku_config import Var

class Development(Var):
  APP_ID = 6
  API_HASH = "eb06d4abfb49dc3eeb1aeb98ae0f581e"Jarvis ConfigurationThe Jarvis Config is situated injarvis/jconfig.py. Heroku Configuration Simply just leave the Config as it is. Local Configuration Fortunately there are no Mandatory vars for the UniBorg Support Config.Mandatory VarsOnly two of the environment variables are mandatory.This is because oftelethon.errors.rpc_error_list.ApiIdPublishedFloodErrorAPP_ID: You can get this value fromhttps://my.telegram.orgAPI_HASH: You can get this value fromhttps://my.telegram.orgThe userbot will not work without setting the mandatory vars.
Package: jarvy
Dave Bowman (inside EVA pod) trying to convince HAL to open the
pod bay doors in “2001: A Space Odyssey” (1968).Dave: Hello, HAL. Do you read me, HAL?
HAL: Affirmative, Dave. I read you.
Dave: Open the pod bay doors, HAL.
HAL: I'm sorry, Dave. I'm afraid I can't do that.Although there has been several attempts in making the machines
intelligent, the early prototypes were still dumb. Until 2015. Then came
Jarvy.Jarvy : Python Intelligent Assistant for HumansJarvy, aims to help humans by trying to understand them and figuring out
best ways to respond to them. Jarvy is named after Tony Stark’s
artificially intelligent assistant in the Iron Man series. However, the
inspiration is not restricted to the Iron Man series, but extends to a
huge line of books, movies and projects which led to this dream. A dream
of living with artificial intelligence.By design Jarvy does not aim harm, but this is software. Who knows, what
could go wrong. I will make it straight. I accept no liability, if one
day Jarvy or alike overthrow humans and rule the world.Why?The goal is to havea lot of fun, and see where this goes. I want
Jarvy to befullycustomizable and extensible.How?> import jarvy
> j = jarvy.start()Usage> Jarvy
> Yes sir
> who is the director of ex machina?
> Ex Machina is a 2015 British science fiction thriller film written
  and directed by Alex Garland, marking his directorial debut.
> who wrote iliad?
> Homer is best known as the author of the Iliad and the Odyssey.
> Good bye jarvy
> Good night sirInstallation$ pip install jarvyContributionHey, did you know that you can make a huge difference here? We cantogetherimprove Jarvy. Besides, it’s more fun together! If you haveanysuggestions, please let me know. Or better, fork the repository, play with Jarvy and contribute by just sending a pull request.Iacceptpull requests.RoadmapJarvy is written in Python. There is also aweb interfacein the
making. I want Jarvy to be simple and beautiful. Because you know,simple is better than
complex and beautiful is better than ugly.IdeasAdd Wolfram alpha as endpointAdd scoring, maybe give weights for sources?Add ranking to select the best response.Unit tests would be nice.Jarvy should be able learn.Continuous Integration would be nice.Release History1.3.0 (2015-10-5)Handled no internet access caseFixed a few bugsRemoved unnecessary package dependencyDid some refactoring1.2.5 (2015-07-23)Did some refactoringMessage comparison is now in lower caseRemoved console stream for loggingWhitespace tokenization is now employed in word matching1.2.0 (2015-07-21)Simplified importFixed bug on that prevents termination1.1.0 (2015-07-21)Made minor changes for packaging and distribution1.0.0 (2015-07-21)Jarvy is born!
Package: jarzynski
Jarzynski ToolThis repository contains a python script, which allows to rebuild the PMF based on the Jarzysnki Equality framework. For this you need to pass a file in CSV format, where you have the work values ​​(kcal/mol/A) of all the replicas, the first column has to be the distance in (Angstrom). If you have any questions, you can contact me atgroponp@gmail.com.Usage Jarzynskipythonjarzynski.pypmf--usage#! Return[USAGE]"%opt1: python jarzynski.py pmf -f work_matrix.csv -o reconstructed_PMF.csv -t 300 -e gmx"[USAGE]"%opt2: python jarzynski.py pmf --file=work_matrix.csv --ofile=reconstructed_PMF.csv --temperature=300 --engine=gmx"Usage Kdpythonjarzynski.pykd--usage#! Return[USAGE]"%opt1: python jarzynski.py kd -f PMF.csv -o kd.csv -u nM -b 1000 -t 300 -e gmx"[USAGE]"%opt2: python jarzynski.py kd --file=PMF.csv --ofile=kd.csv --units=nM --box_volume=1000 --temperature=300 --engine=gmx"LicenseGPLv3
Package: jasco_parser
AuthorAlisue <lambdalisue@hashnote.net>Supported python versionsPython 2.6, 2.7, 3.2, 3.3, 3.4A text parser for parsing [JASCO](http://www.jasco.co.jp/jpn/home/index.html) style text.InstallationUsepiplike:$ pip install jasco_parserUsagefromjasco_parserimportloadX=load('filename.txt')
Package: ja-sentence-segmenter
ja_sentence_segmenter日本語のテキストに対して、ルールベースによる文区切り（sentence segmentation）を行います。Getting StartedPrerequisitesPython 3.6+Installingpip install ja_sentence_segmenterUsageimportfunctoolsfromja_sentence_segmenter.common.pipelineimportmake_pipelinefromja_sentence_segmenter.concatenate.simple_concatenatorimportconcatenate_matchingfromja_sentence_segmenter.normalize.neologd_normalizerimportnormalizefromja_sentence_segmenter.split.simple_splitterimportsplit_newline,split_punctuationsplit_punc2=functools.partial(split_punctuation,punctuations=r"。!?")concat_tail_no=functools.partial(concatenate_matching,former_matching_rule=r"^(?P<result>.+)(の)$",remove_former_matched=False)segmenter=make_pipeline(normalize,split_newline,concat_tail_no,split_punc2)# Golden Rule: Simple period to end sentence #001 (from https://github.com/diasks2/pragmatic_segmenter/blob/master/spec/pragmatic_segmenter/languages/japanese_spec.rb#L6)text1="これはペンです。それはマーカーです。"print(list(segmenter(text1)))> ["これはペンです。", "それはマーカーです。"]VersioningWe use SemVer for versioning. For the versions available, see the tags on this repository.ContributingTODOLicenseMITAcknowledgmentsテキストの正規化処理テキスト正規化のコードは、mecab-ipadic-NEologdの以下のWIKIを参考に一部修正を加えています。サンプルコードの提供者であるhideaki-t氏とoverlast氏に感謝します。https://github.com/neologd/mecab-ipadic-neologd/wiki/Regexp.ja#python-written-by-hideaki-t--overlast文区切り（sentence segmentation）のルール文区切りのルールとして、Pragmatic Segmenterの日本語ルールを参考にしました。https://github.com/diasks2/pragmatic_segmenter#golden-rules-japaneseまた、以下のテストコード中で用いられているテストデータを、本PJのテストコードで利用しました。https://github.com/diasks2/pragmatic_segmenter/blob/master/spec/pragmatic_segmenter/languages/japanese_spec.rb作者のKevin S. Dias氏とコントリビュータの方々に感謝します。Thanks to Kevin S. Dias andcontributors.
Package: jashin
jashinAssorted Python utilities.jashin.dictattr modulejashin.dictattrprovidesItemAttrandDictModelto define class that wraps dictionary objects.To wrap a dictionary like this,userdict={"name":"test user","age":20}You can useItemAttrandDictModelas follows.fromjashin.dictattrimportItemAttr,DictModelfromdateutil.parserimportparseasdateparseclassUser(DictModel):name=ItemAttr()age=ItemAttr()user=User(userdict)print(user.name,user.created)user.age=30# updates userdictpritn(userdict['age'])# prints 30ItemAttrsupports nested objects.companydict={"CEO":{name:"A CEO",age:"21",}"COO":{name:"A COO",age:"31",}}To wrap a dictionary above, you can provideCompanyclass.classCompany(DictModel):CEO=ItemAttr(User)COO=ItemAttr(User)company=Company(companydict)print(company.CEO.name)# prints 'A CEO'DictModelclass is not mandatory, but is provied to avoid boilerplate code.ItemAttrworks any classes with__dictattr_get__method.classUser:name=ItemAttr()age=ItemAttr()def__init__(self,record):self._recdict=recorddef__dictattr_get__(self):"Called by ItemAttr object to get dictionary"returnself._recdictType annotation is supported.classUser(DictModel):name=ItemAttr[str]()# Explicity specify typeage=ItemAttr(int)# Inferred from `int` function.user.name="name"# OKuser.age="30"# Incompatible types in assignment# The right hand side expression has type "str",# but 'age' attribute has type "int".jashin.elapsed moduleThejashin.elapsedmeasures elapsed time of arbitrary sections.Sections can be specified bywithblock.>>>fromjashin.elapsedimportElapsed>>>e=Elapsed()>>>deftest():...a=1...foriinrange(10):...withe("section 1"):...a+=1......withe("section 2"):...a+=1...>>>test()>>>e.print()section1:n:10sum:0.00002ave:0.00000section2:n:10sum:0.00002ave:0.00000Or by pair ofbegin(name)andend()methods.>>>fromjashin.elapsedimportElapsed>>>e=Elapsed()>>>deftest2():...a=1...foriinrange(10):...e.begin("section A"):...a+=1...e.end()......e.begin("section B"):...a+=1...e.end()...>>>test2()>>>e.print()sectionA:n:10sum:0.00002ave:0.00000sectionB:n:10sum:0.00002ave:0.00000jashin.jsondefault moduleTo serialize arbitrary object into JSON, you should definedefaultfunction.defconverter(obj):ifisinstance(obj,set):returnlist[obj]ifisinstance(obj,datetime):returnobj.isoformat()...print(json.dumps(obj,default=converter))This is tedious. Thejashin.jsondefault.commonprovides common functionary to make popular types of objects JSON serializable.fromjashinimportjsondefaultrepo=jsondefault.common()print(json.dumps(obj,default=repo)Sincejashin.jsondefault.commonis asingle-dispatch generic function, you can extend it to convert your custom objects.fromjashinimportjsondefault@dataclassdefFoo:attr1:int=100repo=jsondefault.common()@repo.register(Foo)defconv_foo(obj):return{'attr1':obj.foo}print(json.dumps(object,default=repo)
Package: jasinja
About JasinjaJasinja is a compiler for Jinja templates targeting Javascript. I started
it when we wanted to start generating or extending some of the pages in
an internal webapp with dynamic webapp. I have grown rather fond of Jinja’s
template syntax, and much prefer it to working with JavaScript (which, in
my experience, is rather limited compared to Python itself). I thus wrote
a proof of concept to have Jinja templates compiled to JavaScript, and
Jinja is the result. It works quite well for the (admittedly limited)
subset of Jinja we use at work, and I hope it may work well for you.RequirementsJasinja has been tested against Python 2.5, 2.6 and 2.7. It only depends on
Jinja (tested against version 2.6) and setuptools/Distribute. However,
running the test suite has two further requirements: python-spidermonkey
(tested with version 0.0.10) and JSON support. For JSON support, either the
stdlib json module can be used or the simplejson library (the latter is
always preferred when installed).
Package: jasmin
Jasmin - Open source SMS gatewayIntroductionJasmin is a very complete open source SMS Gateway with many enterprise-class features such as:SMPP Client / ServerHTTP Client / ServerConsole-based configuration, no service restart requiredBased on AMQP broker for store&forward mechanisms and other queuing systemsUsing Redis for in-memory DLR tracking and billingAdvanced message routing/filtering (Simple, Roundrobin, Failover, HLR lookup, Leastcost …)Supports Unicode (UTF-8) for sending out multilingual SMSSupports easy creation and sending of specialized/binary SMS like mono Ringtones, WAP Push, VcardsSupports concatenated SMS strings (long SMS)Jasmin relies heavily on message queuing through message brokers (Using AMQP), it is designed for performance,
high traffic loads and full in-memory execution.ArchitectureJasmin core and its external connectors (used for AMQP, Redis, SMPP, HTTP, Telnet …) are written in Python
and are mainly based onTwisted matrix, an event-driven networking engine.Getting startedRefer toInstallation stepsto get Jasmin gateway up and running quickly with a simple SMS sending scenario.DocumentationThe documentation is at:http://docs.jasminsms.comIf you still need to build it locally:$ cd misc/doc
$ make html
...
...
Build finished. The HTML pages are in build/html.LinksProject home pageDocumentationSupportContinuous IntegrationSource codeKubernetes deploymentor/Experimental/ Deploy to HerokuContributorsLicenseJasmin is released under the terms of the [Apache License Version 2]. See`LICENSE`file for details.CreditsSupported byDigitalOceanDominic Amato for the extraordinary effort porting Jasmin to Python3:https://github.com/DomAmatoSMPP PDU parsing based on smpp.pdu:https://github.com/mozes/smpp.pduSMPP 3.4 Client based on smpp.twisted:https://github.com/mozes/smpp.twistedGSMP 3.38 based on Python messaging:https://github.com/pmarti/python-messaging
Package: jasmin_cis
This package contains code for the JASMIN Community Inter-comparison Suite.  Development is documented athttp://proj.badc.rl.ac.uk/cedaservices/wiki/JASMIN/CommunityIntercomparisonSuiteContactPhilip.Kershaw@stfc.ac.ukPhilip.Stier@physics.ox.ac.ukCopyright and licenceUniversity of Oxford 2013This file is part of the JASMIN Community Inter-comparison Suite (CIS).CIS is free software: you can redistribute it and/or modify it under
the terms of the GNU Lesser General Public License as published by the
Free Software Foundation, either version 3 of the License, or
(at your option) any later version.CIS is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU Lesser General Public License for more details.You should have received a copy of the GNU Lesser General Public License
along with Iris.  If not, see <http://www.gnu.org/licenses/>.
Package: jasmine
Jasmine is a Behavior Driven Development testing framework for JavaScript. It does not rely on browsers, DOM, or any JavaScript framework. Thus it's suited for websites, Node.js (http://nodejs.org) projects, or anywhere that JavaScript can run.The Jasmine packages for Python are deprecated. There will be no furtherreleases after the end of the Jasmine 3.x series. We recommend migrating to thefollowing options:* jasmine-browser-runner (<https://github.com/jasmine/jasmine-browser>,`npm install jasmine-browser-runner`) to run specs in browsers, includingheadless Chrome and Saucelabs. This is the most direct replacement for thejasmine server` and `jasmine ci` commands provided by the `jasmine` Pythonpackage.* The jasmine npm package (<https://github.com/jasmine/jasmine-npm>,`npm install jasmine`) to run specs under Node.js.* The standalone distribution from the latest Jasmine release<https://github.com/jasmine/jasmine/releases> to run specs in browsers withno additional tools.* The jasmine-core npm package (`npm install jasmine-core`) if all you need isthe Jasmine assets. This is the direct equivalent of the jasmine-core Pythonpackage.Except for the standalone distribution, all of the above are distributed throughnpm.
Package: jasmine-core
Jasmine is a Behavior Driven Development testing framework for JavaScript. It does not rely on browsers, DOM, or any JavaScript framework. Thus it's suited for websites, Node.js (http://nodejs.org) projects, or anywhere that JavaScript can run.The Jasmine packages for Python are deprecated. There will be no furtherreleases after the end of the Jasmine 3.x series. We recommend migrating to thefollowing options:* jasmine-browser-runner (<https://github.com/jasmine/jasmine-browser>,`npm install jasmine-browser-runner`) to run specs in browsers, includingheadless Chrome and Saucelabs. This is the most direct replacement for thejasmine server` and `jasmine ci` commands provided by the `jasmine` Pythonpackage.* The jasmine npm package (<https://github.com/jasmine/jasmine-npm>,`npm install jasmine`) to run specs under Node.js.* The standalone distribution from the latest Jasmine release<https://github.com/jasmine/jasmine/releases> to run specs in browsers withno additional tools.* The jasmine-core npm package (`npm install jasmine-core`) if all you need isthe Jasmine assets. This is the direct equivalent of the jasmine-core Pythonpackage.Except for the standalone distribution, all of the above are distributed throughnpm.
Package: jasmine-eth
Jasmine Project Ethereum SDK (Python)This SDK provides the following functionalities:Create/retrieve new/existing Ethereum accountsTransfer ETH and query ETH balanceDeploy TFCManager smart contracts along with TFCToken ERC20 contracts.Claim TFC token through TFCManager using a signature signed by the TFCManager deployer account.
Signing functionality is not provided in this SDK by now.
Alternatively, useGolang SDKorJavaScript SDK.PerformERC20 standardactions on TFC ERC20 token, including transfer, transferFrom and approve.InstallationRequires Python>=3.6pipinstalljasmine_ethUsageInstantiate an SDK object using Ethereum endpoint:fromjasmine_ethimportSDKsdk=SDK("http://localhost:8545")Create/retrieve an Ethereum accountprivate_key="0x4f3edf983ac636a65a842ce7c78d9aa706d3b113bce9c46f30d7d21715b23b1d"account=sdk.retrieve_account(private_key)# retrieve account using private keyaccount=sdk.create_account()# create a new accountprint(account.address)# Ethereum addressprint(account.private_key)# account private keyDeploy TFCManager contract, which will implicitly deploy TFCToken ERC20 contract.# make sure the account have enough ETH balance to deploy contractsmanager_address=awaitsdk.deploy_tfc_manager(account)Get the TFCManager contract instance and TFCToken contract instance:manager=sdk.get_tfc_manager(manager_address)tfc_erc20_address=manager.tfc_token_address()tfc=sdk.get_tfc_token(tfc_erc20_address)Claim TFC:amount:int=1000000000000000000# 1 TFCnonce:int=0signature:str="0x6b04573d9a5b813e65b7afc77ca931bf1a5787ed1732622034355c75b39fe934194501f3431b2fed46581eaa486cdb636eebcb7f852d2105af4a4b53a25dd27e1c"# account claim the amount of TFC using signature signed by TFCManager deployerawaitmanager.claim_tfc(amount,nonce,signature,account)Get TFC balancebalance:int=tfc.balance_of(account.address)Transfer TFCamount:int=1000000000000000000# 1 TFCawaittfc.transfer(recipient_account.address,amount,account)awaittfc.approve(spender_account.address,amount,account)awaittfc.transfer_from(account.address,recipient_account.address,amount,spender_account)Note: All methods that involve sending transactions areasyncfunctions and should be awaited.
Package: jasmine-splinter-runner
Jasminerunner based onsplinter.InstallingYou can installjasmine-splinter-runnerusing pip:$ [sudo] pip install jasmine-splinter-runnerUsingAfter install it, all you need to do is run the commandjasmine-splinterin your terminal:$ jasmine-splinter URIWhere URI can be a file path (ex: ../runner.html) or an URL (http://localhost/runner.html).You can use some options:-bBROWSER_DRIVER,--browser-driver=BROWSER_DRIVERsplinter browser driver (check splinter docs for available drivers)By default this command will look for a file calledSpecRunner.htmland run these specs.Developmentsource hosted atgithub.report issues ongithub issues.
Package: jasmine-zinc
Jasmine ZincUsage: Moduleget_avatarsfromjasmine_zincimportget_avatarsavatars=get_avatars(server_url='http://user:password@server_ip:7180',)print(avatars)talk_on_serverfromjasmine_zincimporttalk_on_server,Talkresult=talk_on_server(server_url='http://user:password@server_ip:7180',cid=5201,talk=Talk(talktext='てすと',),)print(result.message)record_talkfromjasmine_zincimportrecord_talk,Talkresult=record_talk(server_url='http://user:password@server_ip:7180',cid=5201,talk=Talk(talktext='てすと',),frequency=48000,)fromplaysoundimportplaysoundimporttempfilewithtempfile.NamedTemporaryFile()asfp:fp.write(result.wave_binary)playsound(fp.name)Usage: Console ScriptsEnvironment VariablesSERVER_URL=http://user:password@server_ip:7180jaz_get_avatarsFetch avatar list (cid,name, etc.). Currently, the output format is work in progress.jaz_get_avatars--server-url=http://user:password@server_ip:7180exportSERVER_URL=http://user:password@server_ip:7180
jaz_get_avatarsjaz_talk_on_serverTalk on server.jaz_talk_on_server-cid5201-t"talktext"--server-url=http://user:password@server_ip:7180exportSERVER_URL=http://user:password@server_ip:7180
jaz_talk_on_server-cid5201-t"talktext"echo"talktext"|jaz_talk_on_server-cid5201-f/dev/stdinjaz_record_talkRecord a talk voice on server, download as a wave file and play on client.jaz_record_talk-cid5201-t"talktext"--server-url=http://user:password@server_ip:7180exportSERVER_URL=http://user:password@server_ip:7180
jaz_record_talk-cid5201-t"talktext"echo"talktext"|jaz_record_talk-cid5201-f/dev/stdinDevelopment: Test Console ScriptsCreate .env fileSERVER_URL=http://user:password@server_ip:7180Execute./scripts/get_avatars

./scripts/talk_on_server5201てすと

./scripts/record_talk5201てすと
Package: jasmin-fuzzer
Jasmin is a utility that displays a list of Linux commands available on a given machine.Connecting via SSH, Jasmin tests potentially useful commands to exit a restricted shell and perform actions that were normally restricted.DemonstrationRequirementspython -m pip install paramiko richInstallingpython -m pip install jasmin-fuzzerHelp page$ jasmin --help
usage: jasmin [-h] --user username --host hostname [--privatekey] [-p PORT] [-v]

optional arguments:
  -h, --help            show this help message and exit

required arguments:
  --user username       username
  --host hostname       ip address or domain name

optional arguments:
  --privatekey          connection established with your private key
  -p PORT, --port PORT  ssh to use port (default=22)
  -v, --verb            give each command tested (default=False)