Saravanan666/pypi-org huggingface dataset:
Package: miette
Miette is a “small sweet thing” in French.In another way, Miette is light-weight low memory usage library for
reading and, maybe converting (in future) Microsoft Office documents.Thanks to contributor(s):
Jason Brechin <brechinj[at]gmail[daht]comIt’ll be last version of Miette 1.x project. Now this project has readable
code, better exception management, but has no future in current state. I’ll
try to start child project with better semantic and logic. See ya soon.With best wishes, yours Alex Rembish.
Package: mif
mifmifis a Python module to read and writeMemory Initialization
Files, used by Quartus to interact with memory blocks on Intel
FPGAs. They are similar toIntel HEXfiles, except they support
arbitrary memory widths as first-class citizens.InstallationInstall viapip:pipinstallmifBasic UseUse withload/loadsanddump/dumps, similar to thejsonmodule:withopen('memory.mif')asf:mem=mif.load(f)print(mif.dumps(mem))The resultingmemis a numpy array of unpacked bits, where the first
dimension is the address in memory, and the second are the bits in
little-endian order. For example, to access the least significant bit
at address0x12:mem[0x12][0]For more detailed information, pleaseread the documentation.
Package: mifa
mifa介绍mifa - mitmproxy for androidhttp/https/web socket要求安装Android SDK安装mitmproxyOpenssl - Windows下推荐安装Cygwin。用法init指定Android SDKAndroid SDK、mitmproxy的目录。Usage:mifainit[OPTIONS]initdatas

Options:-a,--android-sdk-pathTEXTThepathoftheAndroidSDK.-m,--mitmproxy-pathTEXTThepathofthemitmproxy.-p,--packageTEXTPackagepathofthesystemimageforthisAVD(e.g.'system-images;android-19;google_apis;x86').-n,--nameTEXTNameofthenewAVD.--helpShowthismessageandexit.cfg创建模拟器、配置模拟器。mifa cfgrun直接抓包。mifa run
Package: mifiel
Mifiel Python LibraryPython library forMifielAPI.
Please read ourdocumentationfor instructions on how to start using the API.InstallationpipinstallmifielUsageFor your convenience Mifiel offers a Sandbox environment where you can confidently test your code.To start using the API in the Sandbox environment you need to first create an account atsandbox.mifiel.com.Once you have an account you will need an APP_ID and an APP_SECRET which you can generate insandbox.mifiel.com/access_tokens.Document methods:For now, the only methods available arefindandcreate. Contributions are greatly appreciated.Find:frommifielimportDocument,Clientclient=Client(app_id='APP_ID',secret_key='APP_SECRET')doc=Document.find(client,'id')document.original_hashdocument.filedocument.file_signed# ...Create:frommifielimportDocument,Clientclient=Client(app_id='APP_ID',secret_key='APP_SECRET')signatories=[{'name':'Signer 1','email':'signer1@email.com','tax_id':'AAA010101AAA'},{'name':'Signer 2','email':'signer2@email.com','tax_id':'AAA010102AAA'}]# Providde the SHA256 hash of the file you want to sign.doc=Document.create(client,signatories,dhash='some-sha256-hash')# Or just send the file and we'll take care of everything.# We will store the file for you.doc=Document.create(client,signatories,file='test/fixtures/example.pdf')doc.id# -> '7500e528-ac6f-4ad3-9afd-74487c11576a'doc.id# -> '7500e528-ac6f-4ad3-9afd-74487c11576a'Save Document related filesfrommifielimportDocument,Clientclient=Client(app_id='APP_ID',secret_key='APP_SECRET')doc=Document.find(client,'id')# save the original filedoc.save_file('path/to/save/file.pdf')# save the signed file (original file + signatures page)doc.save_file_signed('path/to/save/file-signed.pdf')# save the signed xml filedoc.save_xml('path/to/save/xml.xml')DevelopmentInstall dependenciespipinstall-rrequirements.txtTestJust clone the repo, install dependencies as you would in development and runnose2orpython setup.py testContributingFork it (https://github.com/Mifiel/python-api-client/fork)Create your feature branch (git checkout -b my-new-feature)Commit your changes (git commit -am 'Add some feature')Push to the branch (git push origin my-new-feature)Create a new Pull Request
Package: miftpclient
miftpclient自动连接你的小米手机上的Ftp(文件管理->远程管理)安装pip install miftpclient自动扫描内网, 寻找小米FTP并连接命令: miftpclient
本方法使用最简单, 但是扫描过程略慢
内网中如果有多台小米手机, 会全部列出, 提示选择指定内网地址最后一段, 直接连接小米手机FTP例如当你的小米手机IP地址为192.168.1.107
命令: miftpclient -i 107
此方法速度最快, 最实用指定扫描中一次连接的超时时间添加 -t 参数,默认为 -t 0.3
有时网络环境不稳定时, 加大超时时间可以保证更准确地扫描出所有的小米手机FTP, 当然也会更慢.
当你确定PC和小米手机在同一网段, 但是miftpclient没有扫描到FTP时可以尝试添加-t参数.
Package: mig3-client
mig3-client: Submit your results to a mig3 service.See Alsomig3: Detect regressions in your python3 migration!Basic setupInstall it:$ pip install mig3-clientRun the application:$ mig3 --helpDeveloper setupInstall dependencies:$ poetry installTo run the tests for the current environment:$ poetry shell
$ py.testTo run the tests for all environments:$ toxLicense
Package: miga
MIGAis a Python package that provides a MSA (Multiple Sequence Alignment) mutual information genetic algorithm optimizer. It sorts two MSAs in a way that maximize or minimize their mutual information. The genetic algorithm solvers may run on both CPU and Nvidia GPUs.Code is hosted atGitHub.LicenseThis software is copyright2018 Caio Silva Souza and all contributors listed in the file AUTHORS unless stated otherwise in the source files.MIGA is released under the LGPL software license, version 3 or later.ContactPlease report bugs and feature requests through theIssues Tracker.DocumentationPlese refer to theexamplesfolder in the code repository and toonline documentationto learn how to use this package.InstalationFor installation instructions please refer to theproject page.
Package: migas
Migas ClientA Python package to communicate with a migas server.Aboutmigas(mee-gahs) is a Python client to facilitate communication with amigasserver.UsageTo start communicating with amigasserver, the client must first be setup.importmigas;migas.setup()By default,migas-pywill communicate with the official hostedmigasserver.
However it can easily be configured to communicate with any hostedmigasserver.importmigas;migas.setup(endpoint='your-endpoint')setup()will populate theinteral configuration, which is done at the process level.APImigasincludes the following functions to communicate with the telemetry server:migas.add_breadcrumb() {#addbreadcrumb}Send a breadcrumb with usage information to the server.Mandatoryproject- application nameproject_version- application versionOptionallanguage(auto-detected)language_version(auto-detected)process:statusstatus_descerror_typeerror_desccontext:user_id(auto-generated)session_iduser_typeplatform(auto-detected)container(auto-detected)is_ci(auto-detected)add_breadcrumb example>>>add_breadcrumb('nipreps/migas-py','0.0.1',status='R',status_desc='Finished long step'){'success':True}migas.check_project() {#checkproject}Check a project version against later developments.Mandatoryprojectproject_versioncheck_project example>>>check_project('nipreps/migas-py','0.0.1'){'success':True,'flagged':False,'latest':'0.4.0','message':''}migas.get_usage() {#getusage}Check number of uses aprojecthas received from a start date, and optionally an end date.
If no end date is specified, the current datetime is used.get_usage example>>>get_usage('nipreps/migas-py','2022-07-01'){'hits':7,'message':'','unique':False,'success':True}migas.track_exit() {#trackexit}Register an exit function to send a final ping upon termination of the Python interpretter.
Useful when monitoring a process that may preemptively error.
The inputs are equivalent toadd_breadcrumb()User Controlmigascan controlled by the following environmental variables:EnvvarDescriptionValueDefaultMIGAS_OPTOUTDisable telemetry collectionAnyNoneMIGAS_TIMEOUTSeconds to wait for server responseNumber >= 05MIGAS_LOG_LEVELLogger levelLogging levelsWARNINGConfigurationThe internal configuration stores the following telemetry information:language and language versionoperating systemrun within a containerrun from continuous integration
Package: migcon
Migcon: Migrate Confluence Export to Jupyter BookThis utility assists in converting Confluence content to a Jupyter Book project. Specifically, once you have a
Confluence HTML export that has beenconverted to Markdown,
run this utility against the converted source to move documents into a directory structure that mirrors
the confluence page hierarchy as well as generating the Jupyter Book-isms necessary to correctly publish
back to confluence.To run:./con2jupyterbook-i<source-dr>-o<target-dir>NotesWhen exporting from confluence, anindex.mdfile is generated that holds the exported page hierarchy in a
nested list. This utility relies on that format, so theindex.mdfile should not be edited prior to running
this utility.What it does...The HTML export from Confluence dumps the whole tree into a single directory. The con2jb will create a
directory tree to mirror the page hierarchy from confluence and do some requisite fixup automatically. Additionally,
it will generate the jupyter book table of contents to ensure that the correct page hierarchy is restored upon
publication.There are several other miscellaneous fixes that are performed including: referencing attachment and image links
from the root rather than the current directory and removal of some sections that are added to a given page that are not
present in the Confluence page source, e.g. Comments, Attachment Lists, Change History.Step-by-Step InstructionsPrerequisites: Node.js installed, Python installedUse Confluence to export all or a part of your wiki via HTML.
(Export Content...)Create a working directory and unzip the Confluence export into that directory (sub-dir html)CloneConfluence to MarkdownFrom within the cloned directory runnpm run start <working-dir>/html <working-dir>/markdownpip install migconRun con2jb to convert the exported markdown into a MyST, sphinx friendly markdown/dir structurecon2jb -i <working-dir>/markdown -o <working-dir>/sphinxCopy the resultant jupyter book friendly markdown into the project of your choiceUse jupyter book to build your desired output.Note:this will result in a few warnings that
need to be addressed.
Package: migdalor
MigdalorMigdalor is a cluster membership library for modern asyncio Python distributed systems running in Kubernetes.Migdalor doesn't require a separate broker (e.g. Redis, etcd, Zookeeper, Chabby, etc) to work, but leverage Kubernetes out-of-the-box capabilities
to solve the peer discovery problem.Features🐍 Modern Asyncio Pythonic API🔦 Brokerless Kubernetes native peer discovery based on headless services🔭 Hooks into membership change events🛠️ Ability to manage membership manuallyInstallationpipinstallmidgalor# or# poetry add midgalor# pdm add midgalorUsageimportmigdalorcluster=migdalor.Cluster(node_address=(node_address),# the current node address (e.g. 127.0.0.1:8001)discovery=migdalor.KubernetesServiceDiscovery(service_address=cluster_address),# Kubernetes headless service address (e.g. cluster:8000)## Callbacks on different events# nodes_added_handlers=[...]# nodes_removed_handlers=[...],## Membership update rate# update_every_secs=10,)awaitcluster.start()# You can also add or remove nodes manually if you support that in your protocolawaitcluster.add([("127.0.0.1",8001)])# await cluster.remove([("127.0.0.1", 8001)])awaitcluster.stop()Midgalor comes with some comprehensive example to help you get started:The Party Cluster- An example of using Migdalor to implement peer discovery in Kubernetes cluster
Package: migedit
migeditMIG Editor python CLI tool and bindings for MIG device management.
Supports all MIG devices and supports both 1:1 gpu instance compute instances setups and setups where compute instances share gpu instances.migedit on Githubmigedit on PyPIUsage (CLI)migedit -i 2 -p 1 2 3to create three instances (1g.5gb, 2g.10gb, 3g.20gb) on GPU 2.ormigedit -i 2 -p s2 s2to create two shared memory instances (2c.7g.40gb, 2c.7g.40gb) on GPU 2.Usage (Python bindings)import migeditto import migedit in your project.migedit.get_mig_profiles()to get a list of all available MIG instance configurations.migedit.make_mig_devices(0, ["1g.10gb"])to remove old MIG instances and create new ones.Changelog:'3.4: Resolve ValueError when no MIG configs are found.3.3: Removed sudo dependency on nvidia-smi.3.2: Addedremove_mig_devices(). Empty command will now remove instances only. Added parsing of comma separated values.3.1: Addedremove_oldflag.3.0: Support for non-A100 devices (H100, A30, etc.) by dynamically grabbing available profiles.2.0: Support for Shared Memory Mig Mode (with 7g.40gb instances)1.1: Various bugfixes1.0: InitialSupported platformsLinux (Python 3.10 or higher)ContributorsTies RobroekThank You!Contributions are welcome.(Please add yourself to the list)
Package: migen
Migen (Milkymist generator)A Python toolbox for building complex digital hardwareDespite being faster than schematics entry, hardware design with Verilog and
VHDL remains tedious and inefficient for several reasons. The event-driven
model introduces issues and manual coding that are unnecessary for synchronous
circuits, which represent the lion's share of today's logic designs. Counter-
intuitive arithmetic rules result in steeper learning curves and provide a
fertile ground for subtle bugs in designs. Finally, support for procedural
generation of logic (metaprogramming) through "generate" statements is very
limited and restricts the ways code can be made generic, reused and organized.To address those issues, we have developed theMigen FHDLlibrary that
replaces the event-driven paradigm with the notions of combinatorial and
synchronous statements, has arithmetic rules that make integers always behave
like mathematical integers, and most importantly allows the design's logic to
be constructed by a Python program. This last point enables hardware designers
to take advantage of the richness of the Python language - object oriented
programming, function parameters, generators, operator overloading, libraries,
etc. - to build well organized, reusable and elegant designs.Other Migen libraries are built on FHDL and provide various tools such as a
system-on-chip interconnect infrastructure, a dataflow programming system, a
more traditional high-level synthesizer that compiles Python routines into
state machines with datapaths, and a simulator that allows test benches to be
written in Python.See the doc/ folder for more technical information.Migen is designed for Python 3.5. Note that Migen isnotspelled MiGen.Quick LinksCode repository:https://github.com/m-labs/migenSystem-on-chip design based on Migen:https://github.com/m-labs/misocOnline documentation:https://m-labs.hk/migen/manual/Quick introfrommigenimport*frommigen.build.platformsimportm1plat=m1.Platform()led=plat.request("user_led")m=Module()counter=Signal(26)m.comb+=led.eq(counter[25])m.sync+=counter.eq(counter+1)plat.build(m)LicenseMigen is released under the very permissive two-clause BSD license. Under the
terms of this license, you are authorized to use Migen for closed-source
proprietary designs.
Even though we do not require you to do so, those things are awesome, so please
do them if possible:tell us that you are using Migenput the Migen logo (doc/migen_logo.svg) on the page of a product using it,
with a link tohttp://m-labs.hkcite Migen in publications related to research it has helpedsend us feedback and suggestions for improvementssend us bug reports when something goes wrongsend us the modifications and improvements you have done to Migen. The use
of "git format-patch" is recommended. If your submission is large and
complex and/or you are not sure how to proceed, feel free to discuss it on
the mailing list or IRC (#m-labs on Freenode) beforehand.See LICENSE file for full copyright and license info. You can contact us on the
public mailing list devel [AT] lists.m-labs.hk."Electricity! It's like magic!"
Package: migeo
MIGEO:Modelagem e Inversão Geofísica EletromagnéticaMIGEO é um pacote python de modelagem e inversão geofísica eletromagnética por volumes finitos baseada em códigos open-source.Geração de MalhaO gerador de malha em volumes finitos utilizado é do pacote open-sourcediscretizeque possui as seguintes malhas disponíveis:Malha TensorMalha OctreeModelagem direta: MTVolumes FinitosModelagem 1D, 2D e 3DDisponível na malha tipo Tensor e OctreeIsotrópica (anisotropia em andamento)Modelagem direta: MCSEMVolumes FinitosModelagem 1D, 2D e 3DDisponível na malha tipo TensorAnisotrópicaInversão dos campos MT e MCSEMEm andamentoInstalaçãoRecomendada a criação de um ambiente virtual conda com python > v3.7 para fazer a instalação via pip.$pipinstallmigeoLicenseMIT
Package: migflow
MigFlow (https://www.migflow.be)MigFlow is a free and open source software dedicated to the simulations, in complex geometry, of immersed granular flows (mixture fluid-grains) presenting a large discrepancy in the solid volume fraction going from pure fluid to porous media. The fluid is solved using the finite element method at a greater scale than the grain scale while the grains are solved using the discrete element method to obtain accurate representation of the local effects due to the grains configuration.
Package: mighoxdown
Download UR World :/Change Log1.0.1 (15/08/2022)First ReleaseEXAMPLE :
===============from mighoxyt import down
from mighoxyt import f

#to return format like ['1080','mp3']

formats = f() 
print(formats)


#to download video or sound from url

ex = down(url='https://soundcloud.app.goo.gl/t7cRx',format='mp3')
print(ex)
Package: migho-yt
YouTube fast downloader in the World :/Change Log :1.0.1 (16/08/2022)First Release===============EXAMPLE :from migho_yt import mp4
from migho_yt import info
from migho_yt import mp3


url = input('[+] YOUTUBE URL : ')

infos = info(url)
print(infos)           #to return video info.

mp4(url, storage=None) #storage -> Keep it default or choose a folder name

mp3(url,path=None)      #path -> Keep it default or choose a folder name
Package: mightstone
mightstoneA library manage all things Magic The Gathering related in pythonDevelopingRunmakefor helpmake install             # Run `poetry install`
make showdeps            # run poetry to show deps
make lint                # Runs bandit and black in check mode
make format              # Formats you code with Black
make test                # run pytest with coverage
make build               # run `poetry build` to build source distribution and wheel
make pyinstaller         # Create a binary executable using pyinstallerSystem dependenciesMightstone useIjsonthat relies onYAJL. IJson will
use its python backend on the run if YAJL is not installed, but you cold benefit from installing YAJL locally.
Package: mighty
Mighty EngineExamplegame=PledgePhase(start_player=0,min_count=13)whilenotgame.pledge_done():print('Boss:{}\tShape:{}\tCount:{}'.format(*game.current_pledge()))print('queue:{}'.format(game.pledge_queue))player=game.turn_player()print('Player{}:{}'.format(player,game.hand(player=player)))pledge_until_valid(game)ifgame.bossisnotNone:game=ExtraPhase(*game.pledge_result())game.prepare_extra_hand()boss=game.bosshand=game.hand(player=boss)print('Boss extra hand:{}'.format(hand))discard=list(map(int,input('Discard: ').split()))game.discard_extra(discard=discard)friend_condition=input('Pick friend: ')game.pick_friend(friend_condition)game=PlayPhase(*game.extra_result())forrinrange(10):print('Round{}'.format(r))for_inrange(game.NUM_PLAYERS):print(game.round_state())player=game.turn_player()hand=game.hand(player=player)print(hand)whileTrue:card=int(input('Card: '))valid,actions=game.check_submit(card=card)ifnotvalid:continueelifactions:print(actions)action=actions[int(input())]game.submit(card=card,action=action)else:game.submit(card=card,action=None)breakprint(game.submitted_cards())print(game.round_summary())print(game.final_summary())
Package: mighty-bedmas-calculator
The Might BEDMAS Calculator v2022.7.26.0A package to calculate infix expressions following BEDMAS.FeaturesThis will calculate an expression following thr BEDMAS order of operations and the following operators are supported:Add +Subtract -Multiply *Divide /Power of ^Brakcets ()Usage via the command line❯ pip install git+ssh://git@github.com/jdboisvert/mightly-bedmas-calculator

❯ mighty-bedmas-calculator calculate "2+2"
4

❯ mighty-bedmas-calculator calculate "2-3"
-1

❯ mighty-bedmas-calculator calculate "(2+3)^4"
625DevelopmentGetting startedpip install -r requirements_dev.txt

# set up pre-commit hooks
pre-commit installPre-commitA number of pre-commit hooks are set up to ensure all commits meet basic code quality standards.If one of the hooks changes a file, you will need togit addthat file and re-rungit commitbefore being able to continue.Testingpytestis used for testing.# just the unit tests against your current python version
pytest

# just the unit tests with a matching prefix
pytest -k test_some_function
Package: mightypy
This is the documentation ofmightypy.DescriptionThis package initially started with the idea of expanding mightiness of python with expermenting on data structures
and machine learning algorithms.visithttps://mightypy.readthedocs.io/for detailed documentationInstall from pypi:$ pip install -U mightypyOr, from github:$ pip install git+https://github.com/nishantbaheti/mightypy
Package: migi
MIGIMigi(My Ideas Got Incepted) is a powerful and versatile dynamic instrumentation toolkit.How it worksBy injecting Python scripts into target host, migi makes host manipulation possible.To get started, follow the steps below.1. Install from PyPIpipinstallmigi2. Attach to target hostimportmigisession=migi.attach_process('notepad.exe',python_console=[])An interactive Python console, which runs inside the host app, will show up if nothing goes wrong.3. Make function callsTyping the scripts below into that host-running console you've just created and everything should be self-explanatory.fromctypesimport*frommigi.decoratorsimportstdcall@stdcall('MessageBoxW','User32.dll')def_native_message_box_w(hwnd:c_void_p,content:c_wchar_p,title:c_wchar_p,flags:c_uint32)->c_int32:passdefmessage_box(content:str,title:str,flags:int=0)->c_int32:return_native_message_box_w(None,create_unicode_buffer(content),create_unicode_buffer(title),flags)message_box("I'm in",'1')4. Learn moreLearn more about calling convention, api interception and others by referring to docs and examplesHow to build1. Platform supportWindowscmake--buildout/windows--targetallpath_to_srcOther platform plans in roadmap.md
Package: mig-meow
# mig_meow
MEOW is a Manager for Event Oriented Workflows.## Introduction
mig_meow provides a way for MEOW Workflows to be defined using Patterns and
Recipes. These can be sent to the MiG
(https://sourceforge.net/projects/migrid/), which is used for actual job
processing and data storage.Currently this package does very little on its own.## Installation
mig_meow can be installed from pypi using pip using:` pip install mig_meow `## Jupyter
mig_meow is designed primarily to be used within Jupyter notebooks, either as a
standard notebook or within Jupyter Lab. If you are running it within Jupyter
Lab it will require the labextensions:jupyterlab-manager (https://github.com/jupyter-widgets/ipywidgets)bqplot (https://github.com/bqplot/bqplot)## Examples
Some example patterns and recipes are included in the ‘examples’ directory.
These can be worked through in the ‘workflow_examples.ipynb’ notebook.## Testing
Automatic testing is available though it will require a numpy install to work
correctly.