Saravanan666/pypi-org huggingface dataset:
Package: mitosheet2
To learn more about Mito, checkout out our documentation:https://docs.trymito.io/getting-started/installing-mitoBefore installing MitoCheck that you have Python 3.6 or above. To check your version of Python, open a new terminal, and type python3 –version. If you need to install or update Python, restart your terminal after doing so.Check that you have Node installed.To check this, open a new terminal, and type node -v.  It should print a version number. If you need to install Node, restart your terminal after doing so.Mito works in Jupyter Lab 2.0 only. We do not yet support Google Collab, VSCode, or Jupyter Lab 3.0.Checkout our terms of service and privacy policy. By installing Mito, you’re agreeing to both of them. Please contact us at aarondr77 (@) gmail.com with any questions.Installation InstructionsFor more detailed installation instructions, see our documentation:https://docs.trymito.io/getting-started/installing-mitopip install mitoinstallerpython -m mitoinstaller install
Package: mitosheet3
To learn more about Mito, checkout out our documentation:https://docs.trymito.io/getting-started/installing-mitoBefore installing MitoCheck that you have Python 3.6 or above. To check your version of Python, open a new terminal, and type python3 –version. If you need to install or update Python, restart your terminal after doing so.Checkout our terms of service and privacy policy. By installing Mito, you’re agreeing to both of them. Please contact us at aarondr77 (@) gmail.com with any questions.Installation InstructionsFor more detailed installation instructions, see our documentation:https://docs.trymito.io/getting-started/installing-mitopip install mitosheetLaunch JupyterLab 3.0 and open a new notebookIn the notebook, run the following code:from mitosheet import sheetmitosheet.sheet()
Package: mitosheet-helper-config
Mitosheet Helper ConfigThis repository is home to themitosheet_helper_configPython package, which is used to configure enterprise installations of themitosheetpackage.
Currently, the package allows you to configure the:Support emailIn the future, enterprises will have many additional configuration options. If you are an enterprise with a specific configuration request, let us know byopening an issuein the Mito monorepo or sending us anemail.This package should only be used with a valid Mito Enterprise liscence or written consent from Mito. Learn more about Mito Enterprisehere.How it worksThemitosheet_helper_configpackage is designed for admins to set the Mito configuration settings for their entire organization. To do so:Clone this repositoryNavigate to themito_config.pyfile and follow the instructions to set your enterprise settingsUpload the repository to your organization's GitHubNow that you've chosen your configuration options, the last step is to make themitosheet_helper_configpackage accessible to themitosheetpacakge.Docker DeploymentIf you're using Docker to deploy mitosheet to your users, follow these instructions:Retrieve the git clone URL of the configuredmitosheet_helper_configpackage that you just uploaded to your organization's GitHub.It shoud look something like this:https://github.com/mito-ds/mitosheet_helper_config.git.Add this command to your Docker file:RUN pip install git+<REPO_URL>#egg=mitosheet_helper_config.Make sure to fill in the<REPO_URL>with the git clone URL you just collected.The final command should look something like this:RUN pip install git+https://github.com/mito-ds/mitosheet_helper_config.git#egg=mitosheet_helper_configRebuild the base Docker imageRepository cloneIf your users clone a repository to create their Jupyter / Mito environment, follow these instructions:
[TODO] add these instructionsFor developmentThis package is only uploaded to pypi and testpypi as a placeholder.Release to PyPiDelete the dist folder, and the .egg-info folderBump the version in setup.cfg and pyproject.tomlRunpython3 -m buildRelease to Test PyPiDelete the dist folder, and the .egg-info folderBump the version in setup.cfg and pyproject.tomlRunpython3 -m buildRunpython3 -m twine upload --repository testpypi dist/*
Package: mitre-stix
MITRE STIXA Python package to get mitre signatures from json logs format of stix2 objectsCurrent Status: BetaThe project is currently in a beta stage, which means that the code and the functionality is changing, but the current main functions are stabilising. I would love to get your feedback to make it a better project.Usagea Python API that returns object STIX2.0 formatted ready to be added in STIX2.0 content.importmitre_stix.scanrulesasmsimportjsonoutput=ms.logs(json.loads(json_object))RequirementsPython 3+InstallationYou can install it via PIP:pip install mitre_stixOr you can also do the following:git clone https://github.trendmicro.com/henryal/mitre-stix
cd mitre-stix
pip install .AuthorHenry Alarcon Jr.
Package: mitsubishi-monitor
Mitsubishi monitorThis package allows you to use theoscillographfunction from theRT Toolbox3application for monitoring the
required devices.The purpose of this monitor is to record the energy consumption of the Mitsubishi robotic arm, but it also allows
you to monitor other parameters, e.g. current position, speed, axial loading.The overall communication is started by sending an initialization message, the length and shape of which is static,
and the only part that changes is the type of required information from the monitored device. The monitored device
then sends UDP packets with the required data approximately every 3.5 ms. The entire communication must then be
terminated using the monitor method, otherwise the monitored device would constantly send data.Only realtime monitoring is implemented.Usage:frommitsubishi_monitorimportMonitorfrommitsubishi_monitorimportDataTypefrommitsubishi_monitorimportparse_current_feedbackmonitor=Monitor(robot_ip_addr='127.0.0.1',# IP addr of monitored devicerobot_port=12000,# port of monitored devicedatatype=DataType.CURRENT_FEEDBACK.value)# type of monitoringmonitor.start_monitor()# initialize communicationwhileTrue:data=parse_current_feedback(monitor.receive_data())# receives UDP packageprint(data)
Package: mittn
“For that warm and fluffy feeling”BackgroundMittn is an evolving suite of security testing tools to be run in
Continuous Integration context. It uses Python and Behave.The idea is that security people or developers can define a hardening
target using a human-readable language, in this case, Gherkin.The rationale is:Once the initial set of tests is running in test automation, new
security test cases can be added based on existing ones without
having to understand exactly how the tools are set up and run.Existing functional tests can be reused to drive security tests.Test tools are run automatically in Continuous Integration, catching
regression and low-hanging fruit, and helping to concentrate
exploratory security testing into areas where it has a better
bang-for-buck ratio.Mittn was originally inspired by Gauntlt (http://gauntlt.org/). You
might also want to have a look at BDD-Security
(http://www.continuumsecurity.net/bdd-intro.html) that is a pretty
awesome system for automating security testing, and offers similar
functionality with OWASP Zaproxy.InstallationExact installation varies by the test tool you want to use. See the
docs/ directory for detailed instructions.NOTE: Backwards compatibility of false positive databases has been
broken. The last version to be compatible with the original database
schema is tagged “v0.1” on GitHub.FeaturesCurrently, the tool implements:Automated web scanning by driving Burp Suite Professional’s Active
Scanner, available fromhttp://portswigger.net/. Burp and Burp Suite
are trademarks of Portswigger, Ltd. Tested with version 1.6.07.TLS configuration scanning using sslyze, available fromhttps://github.com/nabla-c0d3/sslyze/releases. Requires version 0.12.HTTP API fuzzing (JSON and form submissions) with Radamsa, available
fromhttps://github.com/aoh/radamsa. Tested with version 0.4a.
(Older versions do not work.)If you’d like something else to be supported, please open an issue
ticket against the GitHub project.As you can see, all the heavy lifting is done by existing tools.
Mittn just glues it together.Contact informationIf you have questions about the usage, please open a ticket in the
GitHub project with a “Question” tag.If you have found a bug, please file a ticket in the GitHub project.If necessary, you can also emailopensource@f-secure.com, but opening
a ticket on GitHub is preferable.
Package: mitts
MittsTorchedHops - great beer ML nameMittsTorch oopsieFire safetySmoke alarmGoal: Prevent “oopsies” with PyTorchExamplesAll of an input or output are the same (or missing)Gradients aren’t updatingInputs aren’t normalizedVanishing/Exploding gradient?Training/Test OverlapTo Deploy
python3 -m build
python3 -m twine upload dist/*
Package: mittun
MittunOpenSource Conference Manager.InstallationInstall via pip:$ pip install mittunBootstrap your environment$ [sudo] pip install -r requirements.txtMigrationsThis project usesSouthfor database migrations.Initial migrationThe first migration of an app is theinitial migration, you can create it by running:$ python manage.py schemamigration <app_name> –initialAdd a new migrationAfter the initial migration, you can create new migrations by running:$ python manage.py schemamigration <app_name> –autoRunning migrationsJust run on terminal:$ python manage.py migrate <app_name>Running testsInside the project root, you can use the Makefile for running tests:Unit$ make unitFunctional$ make functionalAcceptance$ make acceptanceAll tests$ make tests
Package: mitty
Mitty is a data simulator meant to help debug aligners and variant
callers.It requires Python 3.4 or later. It is released under the
Apache 2.0 license.FeaturesGenerate reads from the whole genome, a single tiny region or from a
set of regions as desiredHandles X, Y chromosomes and polyploidy IF the VCF GT field is
properly setRead qname stores correct POS, CIGAR and the sizes of variants
covered by the readName of sample included in read allowing us to mix FASTQs from
different simulations/sourcesCan mix viral contamination into readsCan do tumor/normal mixesCorruption module adds sequencing errors to readsRead models can be sampled from existing BAM files“God aligner” writes out a BAM with perfect alignments which can be
used for BAM comparisonsSimple genome simulator to generate VCFs with SNPs and different
sizes of Insertions and Deletions for aligner/caller testingAnalyze, plot and debug alignment accuracy with composable analysis functionsTutorial and usage manual can be foundhere.
Package: mitWppSdk
SDK Pagos OnlineSDK Pagos Online es un modulo python para facilitar la integracion al generador de ligas.InstalaciónPara compilar y dar mantenimiento al proyectopipinstallmitWppSdkUsoEl modulo esta implementado para trabajar conPython 3.9o superior.Es importante observar que este modulo debe implementarse dentro de un ambiente seguro en donde la llave de cifrado no quede expuesta a terceros.Se debe utilizar una  instancia de la clasePaymentBuilderpara capturar los datos proporcionados porMIT. Posteriormente, se crea una instancia deWppClientproporcionando elendpoint,identificador de pagosyllave de cifradoenhexadecimalimportmitWppSdk.buildersasbuildersfrommitWppSdk.WppClientimportWppClientfromdatetimeimportdatefromdecimalimportDecimaldefurlIsCreated(self):bb=builders.PaymentBuilder().withBusiness().idBranch("BRNH").idCompany("CMPY").pwd("pwd").user("user1234").andParent().withUrl().reference("PYREF0001").amount(Decimal(10.50)).clientEmail("mail@mail.com").expirationDate(date(2022,9,13)).moneda(builders.MonedaType.MXN).promotions("C","3").andParent().build()client=WppClient("https://sandboxpo.mit.com.mx/gen","SNDBX123","5DCC67393750523CD165F17E1EFADD21")url=client.getUrlPayment(bb)print(url)urlIsCreated()Webhook o Http CallbackElcomerciodebe exponer unhttp callbackoURI endpointque le permita conocer si el pago del cliente fueaprobadoodeclinadoy aplicar la lógica correspondiente a su negocio.Para descifrar el mensaje, se puede utilizar el métodoprocessAfterPaymentResponsede la claseWppClientdefafterPayment():response="otB4VyAtYh5bW4IeVhM30125kqfmzVxxDlFQRZHCUroq6e1MSISChhDstN1gKKnA%0D%0AOs%2Bdgr...";payResponse=client.processAfterPaymentResponse(response);print(payResponse["reference"])afterPayment();LicenseMIT
Package: mity
What is MityMity (pronounced like mighty) is an idea to develop a tool to invoke workflows
that are orthogonal to each other but from the perspective of a team are all
related to their functions and activities. Read more onWhat is Mity.What is in here?A skeleton of a project to implement the ideas behind Mity. Requires:Python 3.7makepipenvLicenseMity is released under the terms of the MIT license.
Package: mitype
⌨ Mitype ⌨Typing Speed Test in TerminalMitypeis a program to test (and hence improve) your typing speed right from the ease of your terminal.Written completely in python with no external dependencies!✨ Main Features🖥️ Cross-platform🎦 See your replay📝 Choose custom text input🅰️ 6000 text samples🌈 Colored texts🔧 InstallMitype can be easily installed by:pipinstallmitype📈 UsageOnce installed, you can run it simply as:mitypeYou can also customize each run by specifying the following options as:-f FILENAME, --file FILENAMEUses contents of file as sample text.-d N, --difficulty NN can be in range [1, 5] with 1 being the easiest. This decides the length of the text.-i ID, --id IDID can be in range [1, 6000].You can quit mitype anytime by pressing theESCkey orCTRL-C.You can also directlyrun on repl.itin your web browser although, the latency is pretty high.💚 ContributingWe encourage you to contribute to mitype! Please check out theContributing Guidelinesabout how to proceed.📜 LicenseLicensed under theGPLlicense.Text samples in database are collected fromTyperacer Data.
Package: mitzu
Mitzuis an open sourceproduct analyticstool over your company'sdata warehouse.FeaturesFriendly Web UI that enables product analytics over your data warehouse or data lake. (Similar to Amplitude, Mixpanel, Heap and Google Analytics)Easy setup in under a minute.Discovers your company's data warehouse for user events and event properties.Metrics such as:User FunnelsEvent SegmentationRetentionUser Journey (coming soon)Revenue calculations (MRR, ARR) (coming soon)Churn rate (coming soon)User Lookup (coming soon)Cohorts Analysis (coming soon)A/B Test Evaluation (coming soon)Saved metricsDashboardsUser AuthenticationInternal user managementOAuth2 - (OIDC)Supported Warehouse IntegrationsMitzu integrates with most modern data lake and warehouse solutions:AWS AthenaDatabricks Spark (SQL)MySQLPostgreSQLSnowflakeTrino / StarburstRedshiftComing SoonClickhouseBigQueryGetting startedMitzu can run as a standalone webapp:Trying out locally:dockerrun-p8080:8080mitzuio/mitzu:latestBeta webappDocumentationContribution GuidePlease read ourContribution Guide
Package: miuc
miucMarkdown Intelligence Url CompletePaste URL byctrl+v, miuc will complete the title for youFeaturesDownloadSearchmiucin Vscode extension market or manually download the extension frommiuc-vscode-extension-marketVscode Extension miuc depends on python librarymiuc, if you miss the auto download, please download manually in your activate python environmentpipinstallmiucActually, miuc is not mature, if you meet any bug please report @miuc issuesUsagein Vscode, pressctrl+vto paste as usual, miuc will complete the title if URL in your clipboardin command line, usemiuc <URL>and return the markdown format url with title, you may need this one if you prefer vim/neovim and so on$miuc<URL># for example$miuchttps://github.com/luzhixing12345/miuc[miuc](https://github.com/luzhixing12345/miuc)Rerferencezood documentbrandmarkautopep8icons8VS-Code-Extension-Doc-ZH
Package: miumapp
项目描述一个使用 Python + HTML 开发桌面 GUI 应用的框架，支持 Windows、Mac、Linux 平台。功能：可在 HTML 中调用后端的 Python 函数。可在 Python 上下文中调用窗口内的 JavaScript 对象。可在 Python 上下文中对窗口发送操纵指令，执行包括但不限于：URL跳转、关闭窗口、JS注入、最大化等操作。可开启多个窗口。由于每个窗口可与 Python 双向调用，因此不同窗口之间可通过【窗口A → Python → 窗口B】的途径相互调用。可指定窗口标题。可指定窗口图标。可通过传递 URL 或 HTML 文本这两种数据之一来决定窗口内容。可通过 Nuitka 打包成可移植二进制文件。我们所采用的技术栈组合是经过深思熟虑的，通过结合Python与HTML这两种高效、灵活、易用的技术栈，意味着您正在选择一个能够大大减少开发时间、简化开发流程、拥有丰富的第三方扩展的解决方案。与其它工具相比，我们的优势在于对新技术的快速适应、更为强大的社区支持，以及持续的更新和改进。作者江南雨上主页|Github|PyPi|微信|邮箱|捐赠Bug提交、功能提议您可以通过Github-Issues、微信与我联系。安装pip install miumapp检查是否安装成功运行内置Demo：importasynciofrommiumapp.demoimportIntroduceasyncio.run(Introduce().start())运行后，若显示出与图片效果图所示一致的效果，则说明安装成功。教程 (查看美化版👈)本文将以最简洁的方式向你介绍核心知识，而不会让你被繁琐的术语所淹没。导入importasynciofrommiumappimportApp,allow_callpy创建 APPclassmy_app(App):asyncdefmain(self):...asyncio.run(my_app().start())由于我们在主任务 main 中未定义任何代码，因此这个 APP 是一个空 APP，运行后看不到任何效果。创建窗口classmy_app(App):asyncdefmain(self):html='Hello, miumapp !'awaitself.create_window(html=html)asyncio.run(my_app().start())此时，我们将能看到屏幕上打开了一个窗口，其内容为“Hello, miumapp !”。指定窗口内容源可通过传递 HTML 或 URL 文本这两种数据之一来决定窗口内容，示例：awaitself.create_window(html='你好!')awaitself.create_window(url='https://www.baidu.com/')指定窗口标题awaitself.create_window(html='你好!',title='第一个窗口')关闭窗口可通过对窗口对象执行await window.close()或者点击窗口右上角的×图标来关闭窗口。在 HTML 中调用 Python 函数使用 allow_callpy 装饰的 Python 异步函数将能够在 HTML 中被调用，例如：classmy_app(App):asyncdefmain(self):html='Hello, miumapp !'awaitself.create_window(html=html)@allow_callpyasyncdefaddition(self,a,b):returna+basyncdefsub(self,a,b):returna-basyncio.run(my_app().start())在这个例子中，方法 sub 只能在 Python 层面被调用，而方法 addition 既能在 Python 层面被调用，也能在 HTML 中被调用。在 HTML 中调用 addition 方法：asyncfunctionsum(){leta=parseInt(document.getElementById('a').value)// 30letb=parseInt(document.getElementById('b').value)// 50letkwargs={a:a,b:b}letresult=awaitmiumapp.callpy(method='addition',kwargs=kwargs)console.log(result)// {"code":0, "msg":"", "data":80}}在 Python 中调用 JavaScript 对象一些示例执行 JavaScript 代码：awaitwindow.evaluate("document.title = '第一个APP'",force_expr=True)awaitwindow.evaluate("alert(1)",force_expr=True)获取变量值：CityName=awaitwindow.evaluate("CityName")# 假设窗口中有一个叫 CityName 的变量print(CityName)# >>> '北京市'调用函数并获取返回值：city_name=awaitwindow.evaluate("get_city_name()",force_expr=True)# 假设窗口中有一个叫 get_city_name 的函数print(city_name)# >>> '上海市'由于 window 对象继承自 pyppeteer.page.Page，因此 window.evaluate 支持 pyppeteer.page.Page.evaluate 的所有用法。关于 window.evaluate 的更多用法，请参考pyppeteer.page.Page.evaluate。window 对象的更多方法由于 window 对象继承自 pyppeteer.page.Page，因此 window 支持 pyppeteer.page.Page 的所有方法，例如页面跳转、点击按钮、输入等。关于 window 的更多方法，请参考pyppeteer.page.Page。
Package: miur-daad-balancing
Testing dataset balancing techniques from previous works.How do I install this package?As usual, just download it using pip:pipinstallmiur_daad_balancingTests CoverageSince some software handling coverages sometime get slightly different results, here’s three of them:UsageThree balancing methods are available for the MIUR-DAAD project:UmbalancedThis method just leaves the data as-is, and is used more as callback usefull to uniform the pipeline:frommiur_daad_balancingimportumbalancedtraining,testing=generate_my_data(...)balanced_training,balanced_testing=umbalanced(training,testing)BalancedApplies a maximum threshold to every class in the training set as specified in the default package settings (3000):frommiur_daad_balancingimportbalancedtraining,testing=generate_my_data(...)balanced_training,balanced_testing=balanced(training,testing)Full BalancedApplies a maximum threshold to every class in the training set and balances to some default proportions the testing set:frommiur_daad_balancingimportfull_balancedtraining,testing=generate_my_data(...)balanced_training,balanced_testing=full_balanced(training,testing)
Package: miutil
Medical imaging utilities.Basic functionality needed forAMYPADandNiftyPET.InstallIntended for inclusion in requirements for other packages.
The package name ismiutil. Extra install options include:cudaprovidesmiutil.cuinfombeautifyprovidesmiutil.mlab.beautifyniiprovidesmiutil.imio.niiplotprovidesmiutil.plotincludes a useful 3D multi-volumeimscrollfunction which depends only onmatplotlibwebprovidesmiutil.webTo install extras and their dependencies,
use the package namemiutil[option1,option2].
Package: miva-mmt
MMTThe Miva Managed Templates tool is a comprehensive command line
interface tool to help speed up the development process within
the Miva Merchant software.Full documentation of all supported features and commands can be
found athttps://docs.miva.com/template-branches/template-branches-overviewRequirementsMiva Merchant 10.00+Python 3.6 or higherVersions1.0.3Bug FixesMMT-67: MMT should include a reason why Changeset_Create failedMMT-71: MMT should handle a keyboard interrupt when requesting / receiving dataMMT-72: mmt diff should create a temporary file with the same file suffix as the file being diffedMMT-79: Loading of properties no longer works with Miva Merchant 10.07.00MMT-80: mmt pull does not handle resources converted from Inline / Local types to other types1.0.2New FeaturesAdded --debug flag to view HTTP requests / responsesBug FixesMMT-54: Add a --version flagMMT-55: Fatal error when attempting to checkout a file that contains invalid OS file name charactersMMT-56: Add the ability to create a branch using a Remote key referenceMMT-58: Product / Category properties cannot be diffed, reverted, or pulledMMT-59: Pull command pulls all file types even if only specific files are requestedMMT-60: MMT should set its own User-AgentMMT-68: Add support for logging MMT requestsMMT-69: mmt diff does not work on multiple1.0.1New FeaturesAdded support for HTTP Basic AuthenticationBug FixesMMT-53: Cannot push product / category property changesMMT-52: Empty mmt sub-command raises an exceptionChangesThe credential add / update command now accepts an HTTP Basic Authentication username / password that will be used to send the Authorization Basic header for all outgoing requests.1.0.0Initial releaseLicenseThis application is licensed under theMMT License Agreement.See theLICENSEfile for more information.
Package: mivrhash
About MivRHashMivRHash (Million-value Remote Hash) is a remote hash table data structure which provides the compatible interface with the Python dict’s interface. It stores hash table data in remote server. Therefore, it is useful when your application uses so many big hash tables (dict objects) that memory in one machine is not sufficient (in other words, you can utilize main memory in multiple hosts in your application). It is originally created for storing inverted indexes of a search engine.MivRHash allows you to specify the destination of the host where it will store data into. On the remote host, you need to run mivrhashservice to listen to hash operation requests from the client.Since MivRHash provides the same interface with Python’s dict, adapting your application with MivRHash is very easy. It requires you to change only a line of code (e.g., the hash table initialization statement) to make your application a distributed one.MivRHash optimized its performance by using write-back cache. You can specify the cache-size when you initialize the remote hash object. The default cache size is 1000 items.ExampleOn the server (i.e., the machine that will store hash data), run the service:$ python -m mivrhash.mivrhashservice  (or python mivrhashservice.py)
Server listening on port 10080On the client, write code like this:from mivrhash.mivrhashclient import MivRHash
h1 = MivRHash( "server_address", 10080 )
h1['hello'] = 'world'
h1[5] = 6
h1[ ( 'some', 'tuple' ) ] = 'hello'
h1[ 'aHash' ] = { 1 : 2, 3 : 4 }
h2 = h1[ 'aHash' ]
h2[1] = 5
# Now you need to explicitly assign h2 to h1['aHash']
# because h1 does not automatically recognize the change on its items
print h1['aHash']   # { 1 : 2, 3 : 4 }
h1['aHash'] = h2
print h1['aHash']   # { 1 : 5, 3 : 4 }
for k in h1.iterkeys():
    print k
h1.clear()
h1.close()  # free memory on remote server and disconnect
h1 = None   # this also free memory and disconnectInstallationMivRHash is designed for very easy installation. It is a pure Python package. You can just copy the whole folder mivrhash into your site-packages directory (e.g., /usr/lib/python2.6/site-packages or C:/Python2.6/Lib/site-packages). The setup script is also available:$python setup.py installIt requires no additional dependencies to be installed because it depends only on packages that are in Python standard library (such ascPickleandurllib).