Saravanan666/pypi-org huggingface dataset:
Package: mistsystems
Mist System Python LibraryUnofficial Juniper-Mist libraryHow to use this libraryInstallpip install mistsystemsWith API Token>>> from mistsystems import api

>>> mist = api.MistSystems(host="api.mist.com", apitoken="mysecretapitoken")With Login/password>>> from mistsystems import api

>>> mist = api.MistSystems(host="api.mist.com", email="user@mycorp.com", password="mysecretpassword")Display account privileges>>> print(mist.privileges)
scope    role    name                   site_id    org_name    org_id                                msp_name       msp_id
-------  ------  ---------------------  ---------  ----------  ------------------------------------  -------------  ------------------------------------
org      admin   Demo Test                                     39ce2088-xxxx-xxxx-xxxx-1a5a88bab5ee
org      admin   Demo 1                                        e338cdf2-xxxx-xxxx-xxxx-2996d983d8bc  MSP Demo  1e7002ba-xxxx-xxxx-xxxx-eb6a8151b731
org      write   Demo 2                                        995f5d60-xxxx-xxxx-xxxx-4313da26e1c3
org      read    Demo 3                                        3440ed64-xxxx-xxxx-xxxx-d62ac4586fd1Find an organization>>> mist.privileges.find_org(name="test")
[{'scope': 'org', 'org_id': '9ce2088-xxxx-xxxx-xxxx-1a5a88bab5ee', 'org_name': '', 'msp_id': '', 'msp_name': '', 'orggroup_ids': '', 'name': 'Demo Test', 'role': 'admin', 'site_id': '', 'sitegroup_ids': ''}, ]Request the Mist Cloud>>> mist.orgs.sites.get(org_id="ca7e9350-xxxx-xxxx-xxxx-db350863a910")
{'result': [{'timezone': 'Europe/Paris', 'country_code': 'FR', 'latlng': {'lat': 48.889036, 'lng': 2.280529}, 'address': '41 Rue de Villiers, 92200 Neuilly-sur-Seine, France', 'lat': 48.889036, 'lng': 2.280529, 'id': '42ee034a-xxxx-xxxx-xxxx-8499d934eff1', 'name': 'Primary Site', 'org_id': 'ca7e9350-xxxx-xxxx-xxxx-db350863a910', 'created_time': 1591344677, 'modified_time': 1598866388, 'rftemplate_id': None, 'secpolicy_id': None, 'alarmtemplate_id': None, 'networktemplate_id': None, 'tzoffset': 60}], 'status_code': 200, 'error': '', 'uri': '/api/v1/orgs/ca7e9350-xxxx-xxxx-xxxx-db350863a910/sites'}

>>> mist.sites.wlans.get(site_id="42ee034a-xxxx-xxxx-xxxx-8499d934eff1")
{'result': [{'ssid': 'test', 'enabled': False, 'hide_ssid': False, 'no_static_ip': False, 'no_static_dns': False, 'band': 'both', 'band_steer': False, 'airwatch': {'enabled': False, 'console_url': '', 'api_key': '', 'username': '', 'password': ''}, 'disable_wmm': False, 'disable_uapsd': False, 'use_eapol_v1': False, 'roam_mode': 'NONE', 'auth_servers_nas_id': '', 'auth_servers_nas_ip': '', 'auth_server_selection': 'ordered', 'disable_11ax': False, 'vlan_enabled': False, 'apply_to': 'site', 'id': '8b65474b-xxxx-xxxx-xxxx-b2e2456650fe', 'for_site': True, 'template_id': None, 'site_id': '42ee034a-xxxx-xxxx-xxxx-8499d934eff1', 'org_id': 'ca7e9350-xxxx-xxxx-xxxx-db350863a910', 'created_time': 1599767311, 'modified_time': 1599767311, 'mxtunnel_id': None, 'wxtunnel_id': None, 'interface': 'all'}], 'status_code': 200, 'error': '', 'uri': '/api/v1/sites/42ee034a-xxxx-xxxx-xxxx-8499d934eff1/wlans'}
```
Package: mistune-hilite
Python-Markdown Code Hiliteport forMistune.Installation$pipinstallmistune-hiliteUsageimportmistuneimportmistune_hilitetext='''
def hello_world():
    print('Hello World')
'''renderer=mistune_hilite.HiliteRenderer()markdown=mistune.Markdown(renderer=renderer)html=markdown(text)OptionsTODOLicenseMIT
Package: mistune-jira
mistune-jiraA Jira Rendering Engine for Mistune.Mistuneis awesome. It does an amazing job of parsing
markdown. It has the ability to take those documents and export them in different sytaxes.
This is an attempt to write a parser forAtlassian's Markup Language used in Jira and some other tools.The goal is to be able to have data in markdown and then use that markdown to create a well formatted
ticket in Jira.Hopefully Jira will someday fully support markdown and make this project irrelevant.Usageimportmistuneimportmistune_jiratext='''# Lorem IpsumThis is some sample markdown. [Say hi to google](https://www.google.com) as an example linkto be converted.HR line---* a list of cool things* doggies* Little Doggies (Won't yet render correctly)* Shaggy Doggies* Grumpy Doggies* spaceships* $2 bills'''rend=mistune_jira.JiraRenderer()markdown_parser=mistune.Markdown(renderer=rend)jira_compat=markdown_parser(text)print(jira_compat)
Package: mistyfy
MistyfyA package that helps encrypt any given string and returns an encrypted version of it. This package is very pythonic and has no dependencies. You can expand on it but it gives you the ability to encrypt data in a way only you can understand.InstallYou should download python, any version from 3.6.x will do. This should come with pip and you can
usepip install mistyfyto complete the installation.How to use itfrommistyfyimportencode,decode,ciphers,generatorimportos# ciphers is a dictionary containing ascii characters, you can change this at will# use the generator function to create your own unique ciphergn=generator(ciphers,-400,138192812)# first arg is the cipher block, second & third arg is the start and stop countersecret=b'somesecretkey'# create any secret key, easier if you use os.urandom(n)# secret = os.urandom(16)a="This is a secret message or password"b=encode(a,secret,gn)# output is a string which contains a signed value when decrypting:# 'eyJtaXN0eWZ5IjogWzQ5Nxxxxxx...c=decode(b,secret,gn)# Output:# This is a secret message or password# Output: if the secret is wrong# Failure decrypting dataUse casesSafely store a password or token, validate that it is signed before it can be decoded.Transmit a large set of encrypted strings.Create your owncipher blockand be the only one who can decrypt it.There are other part of the script you can use. To easily create a password checking system usesignsandverify_signsfunction, this takes a similar example given by python doc for hashlib but with the ability to add a secret.frommistyfyimportsigns,verify_signssecrets='someimportstuff'password='myverypassword'encrypt_decrypt=signs(password,secret=secrets)print(encrypt_decrypt)# cfe13a4eef4e9c9ccbedf4ec05873ed0# verify takes into two arguments and 1 required keyword arg to compare if their hashes are the same# in this situation, the signed data and the actual outcome.verify=verify_signs(password,encrypt_decrypt,secret=secrets)ifverifyisTrue:print('User is valid')else:print('User is not valid')# Output# User is valid
Package: mistygrind
Abstracta tool for static analysis of Misty skills and offboard Misty REST API clientsGetting startedInstall this Python package:pip install mistygrindTry to get the version from the command-line:mistygrind -Vwhich should cause a string like “0.1.0” to be printed.
Check for dependencies:mistygrind --check-depswhich will decide if dependencies are satisfied, and if not, give hints.
Dependencies include:ESLintUse as a Misty virtual machineTrymistygrind --vmwhich will start listening on 127.0.0.1 (localhost) at port 8888.Testing and developmentAll tests are in the directorytests/.
Recent results onTravis CIare available athttps://travis-ci.org/rerobots/mistygrindParticipatingAll participation must follow our code of conduct, elaborated in the file
CODE_OF_CONDUCT.md in the same directory as this README.LicenseThis is free software, released under the Apache License, Version 2.0.
You may obtain a copy of the License athttps://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an “AS IS” BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Package: misuma
MisumaMake a sum between two valuesWith this package you can make the sum of two values, no matter if it is intergers
or decimalsThis is an example:## Download and installDescribe here how the package can be downloaded and install it in
different arquitectures.If you are usingPyPIinstallation it's as simple as:pip install misumaYou can also test the unstable version of the package with:pip install -i https://test.pypi.org/simple/ misumaQuick startIn this section you should provide the most simple instructions to use
your package.For instance:import misuma
print(misuma.miau())Code examplesProvide some detailed examples for more advanced users.For instance:import misuma
print(misuma.miau(n=2))What's newIf your package will be frequently updated with new features include a
section describing the new features added to it:Version 0.1:First version of the package.This package has been designed and written by Fulanit@ de Tal (C) 2023
Package: mit
MIT is a Python utility to Manage iTunes from the command line.PLESASE NOTE:MIT is still an in alpha stage development and will NOT perform in the way that we are
striving to achieve. As of May 14, 2019, it is still under active development. We hope to have a beta version
ready for testing in the near future. Please check this page for new updates.There are some caveats:The only external dependencies right now arePyObjCandPieTunesDue to these dependencies, MIT is only available for MacOS[1]This is a modern Python library that requiresPython>=3.6ObjectivesProvide an elegant command-line interface for managing iTunes.Provide as close to 100% Test Coverage as possible[2]Provide clear documentation with full coverage of the API and example code.InstallingInstall and update usingpipenv:pipenvinstallmitA Simple ExamplemitshowplaylistallLinksWebsite:https://pypi.org/project/mit/Documentation:https://brianfarrell.gitlab.io/mit/License:https://www.gnu.org/licenses/agpl.htmlReleases:https://pypi.org/project/mit/Code:https://gitlab.com/brianfarrell/mit/Issue tracker:Test status:Test coverage:Footnotes[1]Once this is working correctly on MacOS, I will look into how
I might possibly get it working for iTunes on Windows.[2]This project started-out as a Proof of Concept (POC).At that point, no automated testing was involved.Going forward, all new development and bug fixes will be test-driven.
Package: mita-client
MitaMita, named as Multi-Tangled, is a web application for monitoring runtime status and data of multiple machines
(clients).Demo:https://mita-demo.controlnet.spaceGet StartedRun ServerThe server is used to accept client post data and host the web UI.Dockerdockerrun\-p<PORT>:9000\-eMITA_PASSWORD=<PASSWORD>\[-eMITA_GUEST_PASSWORD=<GUEST_PASSWORD>]\controlnet/mita[:<VERSION>]Environment VariablesMITA_PASSWORD: Password foradminaccessing the api and web for read/write.MITA_GUEST_PASSWORD: Password forguestaccessing the api and web for read only.REACT_APP_PASSWORD:Optional, set the default password for the frontend.MITA_SECRET_KEY:Optional, Server secret key for CRSF token.MITA_TOKEN_SECRET:Optional, Server secret key for JWT authentication token.Run ClientThe client is the interface to post data to the server.Now the python client is available. The other clients (nodejs, java, cli, ...) are in plan.Python ClientInstall the client from pypi:pipinstallmita_clientUse the tqdm integrated client (requiretqdmfor progress bar):frommita_clientimportmita_tqdmimporttimeforiinmita_tqdm(range(1000),ADDRESS,PASSWORD):time.sleep(0.1)Use the fully client:frommita_client.clientimportMitafrommita_client.componentimport*frommita_client.viewimportView# initialize componentsview=View("python_view")logger=Logger("python_logger")line_chart=LineChart("python_line_chart")progress_bar=ProgressBar("python_progress_bar",total=100)var=Variable("python_var",100)# register components to viewview.add(var,progress_bar,logger,line_chart)# update data in the runtime, and post to the clientwithMita(ADDRESS,PASSWORD)asclient:client.add(view)foriinrange(10):logger.log(f"some msg{i}")line_chart.add(1+i,1+i,"pos")line_chart.add(1+i,3.5-i,"neg")progress_bar.set(i*8+1)client.push()LicenseModuleLicenseserverAGPLclientMIT
Package: mitanas
MITANASMakeITANAutostartScript. Mitanas generates an executable from your project and
configures it to boot along with the system.Key FeaturesExecutable Generation:Mitanasutilizes PyInstaller to generate executables from Python scripts. You can specify the project name and the path to the main script.Startup Configuration: In addition to executable generation,Mitanasalso configures automatic startup of the executable with the operating system.Pre requisitesPython 3.xCrontab (Linux)Linux |Windows(Coming soon)Basic UsageMitanas must be installed in the same environment that you want to configure in order to extract the project's dependencies with greater precision.frommitanasimportMitanas# Create an instance of Mitanas with the project name and the path to the main script.mitanas=Mitanas("my_project","my_script.py")# Generate the executable and configure automatic startup.executable_path=mitanas.configure()LicenseThis project is licensed under the MIT License. See theLICENSEfile for details.
Package: mitax
A sample Python projectA sample project that exists as an aid to thePython Packaging User
Guide'sTutorial on Packaging and Distributing
Projects.This project does not aim to cover best practices for Python project
development as a whole. For example, it does not provide guidance or tool
recommendations for version control, documentation, or testing.The source for this project is available here.The metadata for a Python project is defined in thepyproject.tomlfile,
an example of which is included in this project. You should edit this file
accordingly to adapt this sample project to your needs.This is the README file for the project.The file should use UTF-8 encoding and can be written usingreStructuredTextormarkdownwith the appropriatekey set. It will be used to generate the project webpage on PyPI and will be
displayed as the project homepage on common code-hosting services, and should be
written for that purpose.Typical contents for this file would include an overview of the project, basic
usage examples, etc. Generally, including the project changelog in here is not a
good idea, although a simple “What's New” section for the most recent version
may be appropriate.
Package: mitbih-processor
Processing MIT-BIH Arrhythmia database signals never was this easy. Extracting, processing and automatic classification functions for signals in the MITDB from PhysioNet are included. This work was based on the example 4.8 of chapter 4 of the book “Practical Machine Learning for Data Analysis Using Python” by Dr. Abdulhamit Subasi.UsageTo install this package use the pip tool:$pipinstallmitbih_processorYou can use this package via the web browser or calling its functions with custom code. In order to use the web client run:$python-mmitbih_processorDocumentationYou can see how to use this module and how it works reading itsJupyter Notebook.
Package: mit-d3m
An open source project from Data to AI Lab at MIT.mit-d3mLicense: MITDocumentation:https://HDI-Project.github.io/mit-d3m/Homepage:https://github.com/HDI-Project/mit-d3mOverviewMIT tools to work with D3M datasets.InstallRequirementsmit-d3mhas been developed and tested onPython 3.5, 3.6 and 3.7Also, although it is not strictly required, the usage of avirtualenvis highly recommended in order to avoid
interfering with other software installed in the system wheremit-d3mis run.These are the minimum commands needed to create a virtualenv using python3.6 formit-d3m:pipinstallvirtualenv
virtualenv-p$(whichpython3.6)mit-d3m-venvAfterwards, you have to execute this command to have the virtualenv activated:sourcemit-d3m-venv/bin/activateRemember about executing it every time you start a new console to work onmit-d3m!Install with pipAfter creating the virtualenv and activating it, we recommend usingpipin order to installmit-d3m:pipinstallmit-d3mThis will pull and install the latest stable release fromPyPi.Install from sourceAlternatively, with your virtualenv activated, you can clone the repository and install it from
source by runningmake installon thestablebranch:gitclonegit@github.com:HDI-Project/mit-d3m.gitcdmit-d3m
gitcheckoutstable
makeinstallFor development, you can usemake install-developinstead in order to install all
the required dependencies for testing and code linting.History0.2.1Support downloading public datasets withouth requiring an AWS accountImporoved error messagesInternal code cleanupInitial unit test suite0.2.0disk_usagefails on macOS/BSD with human=TrueSupport latest d3m schema versionsSupport python 3.7+0.1.2Set the d3mIndex column as a DataFrame column in the TabularLoader0.1.1Removal of unnecessary dependenciesSeparatetabularintosingle_tableandmulti_tableImprove datasets stats collection.0.1.0D3M Dataset parserLoaders by Data ModalityDataset Stats generatorDataset Configuration generatorMetrics functionsMongoDB connector
Package: mite-cli
Mite CLIA command line tool to create a newmiteproject.Installationpipinstallmite-cliUsageUsage:
    mite-cli new <project_dir> [options]

Options:
    --log-level=LEVEL       Set logger level: DEBUG, INFO, WARNING, ERROR, CRITICAL [default: INFO]
    -n --novenv             Don't create a python virtual environmentCreate new mite projectCreate a new project and a virtual environment setupmite-clinewmy_project_dirYou can activate your new virtual environment withsource ~/.virtualenvs/my_project_dir/bin/activateThis gives you access to the mockserver, mite, etc.To run your first test, with the virtual environment activated and from within your new project, run:./run_test.shInstalling dependanciesFedorasudodnfinstalllibcurl-develUbuntusudoaptinstalllibcurl4libcurl4-openssl-dev
Package: mitel-ommclient2
Mitel OMMClient2Another attempt for a modern client library to the Mitel OM Application XML Interface.InstallWithout any additional dependencies:pip install "mitel_ommclient2 @ git+https://git.clerie.de/clerie/mitel_ommclient2.git@main"Add dependencies to enable secret handling, if you need it.pip install "mitel_ommclient2[crypt] @ git+https://git.clerie.de/clerie/mitel_ommclient2.git@main"QuicksartJust some examples to give you an idea what this does.import mitel_ommclient2

# Connect to your OMM
c = mitel_ommclient2.OMMClient2("omm.local", "admin", "admin")

# Use built in methods for common actions
c.ping()

# Create custom messages
m = mitel_ommclient2.messages.Ping()
m.timeStamp = 2342
r = c.connection.request(m)Consult class documentation for more in depth examples and options.Interactive CLIThe package installs a script calledommclient2.
This allowes basic interactive testing of the library.ommclient2 --helpAttributionThis software is inspired bypython-mitelby Thomas and n-st.
Package: mitemp-cgg1
mitemp_cgg1 - Library for Xiaomi Mi Temperature and Humidity Sensor with Bleutooth LE and E-Ink displayWORK IN PROGRESSThis library lets you read sensor data from a Xiaomi Mi BluetoothLE Temperature and Humidity sensor.FunctionalityIt supports reading the different measurements from the sensortemperaturehumiditybattery level and unit of measure are not supported yet.
Package: mitene_download
Download medias fromhttps://mitene.us/orhttps://family-album.com/to keep a local backup.UsageInstall withpip install mitene_download.From mitene app, invite a family member for the web version and copy the URL ( that should be something likehttps://mitene.us/f/abcd123456)Run the script withmitene_download https://mitene.us/f/abcd123456, using the URL from previous step.This will download all photos and video inoutfolder. Some text files will be created with the comments.If the album is password-protected, you can specify the password using--passwordcommand line argument, similar to this:mitene_download https://mitene.us/f/abcd123456 --password the_password.
Package: mitesh
IntroductionMiteShis a very simple wrapper oversubprocess:) .
It enables us to run any POSIX shell (one-liner) in python and provides output line by line through generator.
This is inspired by perl’s backtick operator ``.MiteShis:tiny:The current source code has 164 lines of code (with about 35% documentation) and 114 lines of test.written in pure Python:MiteSh neither needs an external server nor any dependencies from PyPI.works on Python 3.6+ and PyPy3:MiteSh works on all modern versions of Python and PyPy.powerfully extensible:You can easily extendMiteShto more shells, currently tested with
- sh
- bash
- zshSupported Python VersionsMiteSh has been tested with Python 3.6+ and PyPy3.Supported Operating SystemsMiteShshould run on all *NIX Operating Systems. Like:GNU/LinuxUNIX *BSDMac OS (Darwin)ExamplesMore examples can be found intests/test_mitesh.pyRun Hello World>>>frommiteshimportMiteSh>>>forlineinMiteSh("echo Hello World").execute():...print(line)...HelloWorldGet Number of CPU Cores in Linux>>>forlineinMiteSh("cat /proc/cpuinfo | grep\"cpu cores\"| uniq | cut -d: -f2 | sed 's/ //g'").execute():...print(line)...6The above command was run onIntel(R) Core(TM)i7-10750HCPU @ 2.60GHzUsing Different Shell>>>forlineinMiteSh("echo hello",sh_type="sh").execute():...print(line)...hello>>>forlineinMiteSh("ps",sh_type="sh").execute():...print(line)...PIDTTYTIMECMD51839pts/500:00:00bash91559pts/500:00:00python3102811pts/500:00:00sh102812pts/500:00:00ps>>>forlineinMiteSh("ps",sh_type="zsh").execute():...print(line)...PIDTTYTIMECMD51839pts/500:00:00bash91559pts/500:00:00python3103035pts/500:00:00zsh103036pts/500:00:00psTests$python3-munittesttests/test_mitesh.py...........----------------------------------------------------------------------Ran11testsin0.038sOKAcknowledgementI would like to dedicate this package to my Mentor CNB and my FriendVenkatesh Pitta, without their inspiration and support, this would not be possible.
Also, I would like to thank God, my Teachers, my Parents, my Wife and Daughter to stand with me all the times.ContributingWhether reporting bugs, discussing improvements and new ideas or writing
extensions: Contributions toMiteShare welcome! Here’s how to get started:Check for open issues or open a fresh issue to start a discussion around
a feature idea or a bugForkthe repositoryon Github,
create a new branch off themasterbranch and start making your changes
(known asGitHub Flow)Write a test which shows that the bug was fixed or that the feature works
as expectedSend a pull request and bug the maintainer until it gets merged and
published
Package: mitest
IntroductionTest if data match policy, inspired byMongoDB query formatApolicyexpress the expectedrelationshipbetweenvariableanddatauesing json (or python dict direct).Key beginning with “$” to indicate relationship like$and,$lt,$gte.Examplepolicy, variable “a” less then 10:{"a": {"$lt": 10}}test, if given data match policy:>>> policy = TestPolicy({'a': {'$lt': 10}})
>>>
>>> result = policy.test({'a': 9})
>>> bool(result)
True
>>> result.how
[('a', {'$lt': 10}, 9)]
>>>
>>> result = policy.test({'a': 11})
>>> bool(result)
False
>>> result.how
[('a', {'$lt': 10}, 11)]Arrtibutehowexpress how data match or not match policy.
For example,(“a”, {“$lt”: 10}, 9)mean that for variablea, policy islessthen 10,
and (or but, if not match) given data is9.Policy formatMongoDB query format is a little complicated, but
“Simple is better than complex”.For this MongoDB query:{"$or":[
    {"$and":[
        {"a":"23"},
        {"b":6}
    ]},
    {"$and":[
        {"c":{"$gte":2}},
        {"c":{"$lt":4}}
    ]}
]}“$and” is default for each items in list:{"$or":[
    [
        {"a":"23"},
        {"b":6}
    ],
    [
        {"c":{"$gte":2}},
        {"c":{"$lt":4}}
    ]
]}Merge items to single dict:{"$or":[
    {"a":"23", "b":6},
    {"c":{"$gte":2, "$lt":4}}
]}Much simpler :-)Wish this can help you.
Package: mithen
Mithen nedir?Mithen Krypton gezegeninin 2 uydusundan birisidir. 😂MithenKryptoniçin geliştirilmiş bir kütüphane.Kryptontam olarak çalışmak için Mithen'e ihtiyaç duyar.Mithen Krypton'un tüm yerleşik kütüphanelerini barındırarak dışa bağımlılığı azaltmayı amaçlıyor.