Saravanan666/pypi-org huggingface dataset:
Package: qat-variational
Module qat-variationalThis moduleqat-variationalis part ofmyQLMproject. myQLM is a quantum
software stack for writing, simulating, optimizing, and executing quantum programs. This module
provides tools to define and manipulate variational quantum algorithm.PrerequisitesThis version of myQLM works on both Windows, macOS and Linux for different versions of Python 3. Please look at thecompatibility matrixto ensure myQLM is installable on your computer.This module can be installed by typing the following command:pip install myqlmLicensemyQLM EULA
Package: qautils
Code Metrics by sonarqubePython tested versions3.63.53.43.33.22.7SupportedSupportedSupportedNot SupportedNot SupportedSupportedHow to install ?Install from PIP file :pip install qautilsInstall from setup.py file :python setup.py installHow to exec tests ?Tests from setup.py file :python setup.py testGetting StartedJust starting example of usage before readUsage Guide.fromqautils.filesimportsettings# file_path = './' by defaultSETTINGS=settings(file_path="/home/user/config/dir/",file_name="settings.json")KEY_TO_CHECK="some_json_key_name"try:print(SETTINGS[KEY_TO_CHECK])exceptExceptionaserr:print("ERROR:{}".format(err))finally:bot.close()ContributingWe welcome contributions toqautils! These are the many ways you can help:Submit patches and featuresMakeqautils(new updates for community)Improve the documentation forqautilsReport bugsAnddonate!Please read ourdocumentationto get started. Also note that this project
is released with acode-of-conduct, please make sure to review and follow it.
Package: qav
Question Answer Validation (qav)qav is a Python library for console-based question and answering, with the
ability to validate input.It provides question sets to group related questions.  Questions can also
have subordinate Questions underneath them.  Answers to those questions can be
validated based on a simple, static piece of information provided by you.
Answers may also be validated dynamically based on the information provided in
previous questions.Example Usage>>> from qav.questions import Question
>>> from qav.validators import ListValidator
>>> q = Question('How old am I? ', 'age', ListValidator(['20', '35', '40']))
>>> q.ask()
Please select from the following choices:
 [0] - 20
 [1] - 35
 [2] - 40
How old am I? : 0
>>> q.answer()
# returns => {'age': '20'}RequirementsnetaddrInstallation$ pip install qavCompatibilityThis library has been tested to support:Python 3.6It most likely will still run on Python 2.7, but official support has been dropped.Licenseqav - question answer validation in Python
Copyright (C) 2015  UMIACS

This library 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 2.1 of the License, or (at your option) any later version.

This library 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 this library; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA

Email:
    github@umiacs.umd.edu
Package: qaviton-git
Qaviton Gitsuper light! super powerful! git wrapperInstallationpipinstall--upgradeqaviton_gitRequirementsgit 2.16+Python 3.6+Usagefromqaviton_gitimportGitrepo=Git.clone(path='',url='https://github.com/qaviton/qaviton_git.git',username='xxxx',password='xxxx',email='xx@x.x')withopen('newfile','w')asf:f.write('rock git hard')repo.commit('new file').push()
Package: qaviton-handlers
Qaviton Handlerserror handling utilitiesInstallationpipinstall--upgradeqaviton_handlersRequirementsPython 3.6+Featuresretry decorator ✓retry with context ✓try functions ✓catch errors ✓simple Exception wrapper ✓Usagedefretry(tries=3,delay=0,backoff=1,jitter=0,max_delay=None,exceptions=Exception,logger:Logger=log):"""Retry function decorator \ try a context of actions until attempts run out:param exceptions: an exception or a tuple of exceptions to catch. default: Exception.:param tries: the maximum number of attempts: -1 (infinite).:param delay: initial delay between attempts. default: 0.:param max_delay: the maximum value of delay. default: None (no limit).:param backoff: multiplier applied to delay between attempts. default: 1 (no backoff).fixed if a number, random if a range tuple (min, max), functional if callable (function must receive **kwargs):param jitter: extra seconds added to delay between attempts. default: 0.fixed if a number, random if a range tuple (min, max), functional if callable (function must receive **kwargs):param logger: logger.warning(fmt, error, delay) will be called on failed attempts.default: retry.logging_logger. if None, logging is disabled."""retry decoratorfromqaviton_handlers.try_decoratorimportretry@retry()deffoo():n=int('1'+input('select number:'))print(n)foo()retry with contextfromqaviton_handlers.try_contextimportretrywithretry()astrying:whiletrying:withtrying:print("Attempt #%dof%d"%(trying.attempt,trying.attempts))raiseusing different try wrapper functionsfromqaviton_handlers.try_functionsimporttry_to,try_or_none,multi_try,multi_try_no_breakdeffoo(a=0):print(float(a+input("select number:")))# simply trytry_to(foo,1)try_to(foo,2)try_to(foo,3)# get the errorerror=try_to(foo,4)iferror:print(error)# if error occurrediftry_to(foo,5):try_to(foo,5)# try with key argumentsr=try_to(lambdaa,b,c:a*b*c,1,kwargs={'b':2,'c':3})print(r)# try to get a numbernumber=try_or_none(lambdaa:float(a+input("select number:")),6)ifnumber:print(number)# try many functions, return a list of results, or an error# if an error occurred, the multi try stopsmulti_try(lambda:foo(10),lambda:foo(11),)# specify errors to ignoreresponse=multi_try(lambda:foo(13),lambda:foo(14),exceptions=Exception,)# handle the errorresponse=multi_try(lambda:foo(13),lambda:foo(14),)ifisinstance(response,Exception):...# try many functions, return a list of results, some may be errors# if an error occurred, the multi try continuesmulti_try_no_break(lambda:foo(8),lambda:foo(9),lambda:foo(0),)ignore errors now so you can handle them laterfromqaviton_handlers.catchimportCatchfromqaviton_handlers.utils.errorimportErrorcatch=Catch(store=True)# catch an errortry:1+'1'exceptExceptionase:catch(e)# a cleaner syntaxwithcatch:1+'1'2+'2'# ignore the errorwithCatch():5*'e'print(f"caught{catch.count}errors")print(f"caught first{catch.first}")print(f"caught last{catch.last}")# make your own CatchclassMyCatch(Catch):defhandler(self,e):self.stack.add(Error(e))ifself.log:self.log.warning(f"I caught{e}")returnself
Package: qaviton-io
Qaviton IOQaviton IOis a package with a simple API, making use of python's async & multiprocessingto enable fast execution of many asyncable operations.Installationpipinstallqaviton-io-URequirementsPython 3.6+Featuresasync task managerprocess task managertask loggerUsageasync manager:fromtimeimporttimefromrequestsimportget# lets make use of requests to make async http callsfromqaviton_ioimportAsyncManager,task# let's create an async managerm=AsyncManager()# first we make a simple function to make an http call.# we want to log the result,# and make sure that in case of an exception# the manager won't stop@task(exceptions=Exception)deftask():returnget("https://qaviton.com")# this will run async tasks and measure their durationdefrun(tasks):t=time()m.run(tasks)t=time()-tprint(f'took{round(t,3)}s')# let's run our task once and see how long it takesrun([taskfor_inrange(1)])# now let's run our task 20 times and see how long it takesrun([taskfor_inrange(20)])# we can assert the collected results hereassertlen(m.results)==21forrinm.results:assertr.status_code==200# let's view the results in the log reportm.report()process manager:"""make sure your tasks are defined at the module level,so they can be pickled by multiprocessing"""fromtimeimporttimefromrequestsimportgetfromqaviton_io.typesimportTasksfromqaviton_ioimportProcessManager,taskfromtracebackimportformat_exc# now we make some tasks# this is a nested task# we don't want to handle any exceptions# so in case of failure the parent will not proceed@task()deftask1(url):r=get(url)r.raise_for_status()# this is the prent task# we want to handle all exceptions# so in case of failure the next task will execute@task(exceptions=Exception)defmulti_task():forurlin["https://qaviton.com","https://qaviton.co.il",# make sure you enter a valid address"https://qaviton.com1",# make sure you enter a valid address]:task1(url)# let's create a function to execute tasksdefexecute_tasks(tasks:Tasks,timeout):manager=ProcessManager()t=time()try:manager.run_until_complete(tasks,timeout=timeout)timed_out=NoneexceptTimeoutError:timed_out=format_exc()t=time()-tmanager.report()print(f'took{round(t,3)}s\n')manager.log.clear()returntimed_out# now all that's left is to run the tasksif__name__=="__main__":timeouts=[execute_tasks([multi_taskfor_inrange(1)],timeout=3),execute_tasks([multi_taskfor_inrange(20)],timeout=6),execute_tasks([multi_taskfor_inrange(80)],timeout=9),]fortimeoutintimeouts:iftimeout:print(timeout)notes:for good performance and easy usageyou should probably stick with using the AsyncManagerThe ProcessManager uses async operations as well as multi-processing.It distributes tasks across cpus, and those tasks are executed using the AsyncManagerif you want maximum efficiency you should consider using the ProcessManagerThe ProcessManager uses the multiprocessing moduleand should be treated with it's restrictions & limitations accordinglyThe ProcessManager gets stuck easily,make sure to use timeouts when using it
Package: qaviton-monitors
Qaviton Monitorsat the moment this library contains a simple monitoring scriptfor measuring:memorydiskcpurunning processesnetwork bandwidthInstallationpipinstall--upgradeqaviton_monitorsRequirementsPython 3.6+Featuressimple monitor script ✓(more features might be added on demand) *Usageactivating simple monitor script# app.pyfromqaviton_monitors.simple_monitorimportmonitormonitor()Press Enter to stop monitoring


======================== Monitor ========================

Last Boot: 'boot_time'
System Uptime: 'uptime'

CPU Cores cpu_count
MEMORY total mGB | used mGB | free mGB
DISK total dGB | used dGB | free dGB

%(asctime)s | CPU n%  MEMORY n%  DISK n%  Running Processes n  NetIO i:o GBs
%(asctime)s | CPU n%  MEMORY n%  DISK n%  Running Processes n  NetIO i:o GBs
%(asctime)s | CPU n%  MEMORY n%  DISK n%  Running Processes n  NetIO i:o GBs
Package: qaviton-processes
Qaviton Processessimple python wrappers for different processesInstallationpipinstall--upgradeqaviton_processesRequirementsPython 3.6+Featuresprogrammatic support for automating different processes ✓system cli wrapper ✓async support ✓pip wrappers ✓git wrappers ✓python wrappers ✓pytest wrappers ✓Usagesfromqaviton_processes.systemimport(run,pip,git,escape,python,python_code,pytest,run_async,pytest_async,python_async,python_code_async,)stdout:bytes=run(f"echo\"{escape(input('say hi:'))}\"")process=run_async("cd proj && touch jig.txt")whileprocess.poll()isNone:...print(process.stdout,process.stderr)git('clone{url}.git')pip('install','qaviton_processes','-U')python('script.py')python_code('import os','if os.path.exist("proj"+os.sep+"jig.txt"):','  print("awsome!")')python_async('-m scripts.monitor','log=log.txt')...
Package: qaviton-proxy
Qaviton ProxyProxy functionality, developed for flask applications.Installationpipinstall--upgradeqaviton_proxyRequirementsPython 3.6+Featuresproxy requests ✓Usagecreating a flask app# app.pyfromflaskimportFlaskfromqaviton_proxyimportproxyapp=Flask(__name__)@app.route("/prox",methods=['GET'])defclient_session():returnproxy('https://proxied.com')app.run(port=3000)run the apppythonapp.pysend request to appimportrequestsresponse=requests.get('localhost:3000/prox')# send request to appprint(response.json())# got response from 'localhost:3000/prox' which proxied 'https://proxied.com'
Package: qaviton-ssh
Qaviton SSHmaking ssh super easyInstallationpipinstall--upgradeqaviton_sshRequirementsPython 3.6+Featuressimple ssh send-recieve api ✓async requests ✗ (coming soon)multi-session workflow ✗ (coming soon)Usagecreating an ssh clientfromqaviton_sshimportSSH# hostname is a reachable address for the machine# username is the allowed user to have ssh access# private_key is the file path or string of the private keyclient=SSH(hostname='x.x.x.x',username='username',private_key='pkey.pem')response=client.send('echo "hello world"')print(response.data,response.error)# server will respond with b'hello world', b''create a python script on the servercd='cd myproject'file='script.py'response=client.send_many([cd,f'touch{file}',f'echo "print(\"script success\")" >{file}'])assertnotresponse.errorexecute the scriptresponse=client.send_many([cd,f'python{file}'])assertnotresponse.errorprint(response.data)# server will respond with b'script success'
Package: qazaq-transliterator
Python Qazaq TransliteratorTransliteration of the old Kazakh alphabet into a new one. Inspired bybarseghyanartur/transliteratePrerequisitesPython >=2.7, >=3.4, PyPyInstallationInstall with latest stable version from PyPI:pipinstallqazaq-transliteratorUsagefromqazaq_transliteratorimporttranslittext="Қазақстан Республикасы — Шығыс Еуропа мен Орталық Азияда орналасқан мемлекет."print(translit(text))# Qazaqstan Respublikasy — Şyğys Europa men Ortalyq Aziiada ornalasqan memleket.Testingpythonsetup.pytestChangelogPlease seeCHANGELOGfor more information on what has changed recently.ContributingPlease seeCONTRIBUTINGfor details.SecurityIf you discover any security related issues, please emailaltynbek.kazezov.97@gmail.cominstead of using the issue tracker.CreditsAltynbekAll ContributorsLicenseThe MIT License (MIT). Please seeLicense Filefor more information.
Package: qazwsx
AboutAn Cross-Border E-Commerce Mover 跨境电商搬运工GoalMaking cross-border business easy worldwidecross-border-moverA Cross-border E-commerce MoverdesginFeaturesscrapetranslateextra-batch-images with sdwebuiapiuse pandas auto fill amazon listing excelPlanned Features:title generate by AIInstallpython -m pip install cross-border-moverUsageopen .\XXBand.xlsm with Excel firstform cross-border-mover import Mover

# move from taobao to amazon
df_amazon = Mover.fromTaobao(url).toAmazon()

# move from pinduoduo to amazon
df_amazon = Mover.fromPDD(url).toAmazon()

# move from 1688 to amazon
df_amazon = Mover.from1688(url).toAmazon()

# move from taobao to Wish
df_wish = Mover.fromTaobao(url).toWish()

# move from pinduoduo to Wish
df_wish = Mover.fromPDD(url).toAmazon()

# move from 1688 to Wish
df_wish = Mover.from1688(url).toWish()
Package: qball-lang
QBallQBall is a high-level interpreted language written in Python. It is object oriented and has an easy to learn and use syntax. The following is an example of outputting "Hello, world!" into the consoleout "Hello, world!";It also has any easy function decleration system$ This is a single line comment
((This is a
multiline comment))
$ This declares a function outarg that takes an argument a
_outarg a;
  out a;
end
outarg "Hello, world!";DocsEverything you need to know is in documentation.txtContributeGo here to contribute:https://repl.it/@qballlang/QBallChanges are commited 8:00 PM EST every day I canTrello boardThe official Trello board:https://trello.com/b/cJM6HsR3/qball
Package: qbandas
qBandasqBandas (QuickBase + Pandas) is a Python package designed to effeciently
transfer tabular data between QuickBase applications and the popular Python data
handling package Pandas. If you are new to Pandas, you can read more about ithere.The advantages of this approach over a QuickBase pipeline are:Access to databases through Python packages.Greater control over features like error logging, data processing,
automated reporting, and scheduling.Significantly less performance impact on your QuickBase application.Access tabular data from local sources.Easily pull data from a QuickBase app into Python.The disadvantages of this approach compared to a pipeline are:Requires some knowledge of Python and Pandas.Pleaseread the docsbefore
using this package.Installationpython3-mpipinstall-UpipqbandasYou can now use it through import.importqbandas
Package: qb-consul
Introduce to qb-consulversion: 1.0.2how to install:pip install qb-consulIf you want to use it locally:from qb_consul import Consul


host = "127.0.0.1"  # consul服务器的ip
port = 8500  # consul服务器对外的端口
consul_client = Consul(host, port)

# register service
name = "qbzz-server"
host1 = "127.0.0.1"
port1 = 8001
service_id = "qbzz-server-%s" % port1
consul_client.register_service(name, service_id, host1, port1)

# get service
message = consul_client.get_service('qbzz-server')
host = message[0]
port = message[1]
Package: qb-core-all
This is a core package for qb appqb app is a complete application that implements simple architectural concepts. Its goal to separate business logic from infrastructure.Core modules will contain only logic/code that captures business concepts.Infrastructure modules will implement infrastructure specific code.In this version, all core modules will be in a single package. Future versions will split core modules in a more granular scope to help implementers focus on specific modulessee documentation/packaging_concepts.md
Package: qbdiff
✨ pyqbdiff ✨The python binding forqbdiffinstallpipinstallqbdiffUsagefromqbdiffimportcompute,patch,version,errorold=b"1234"new_=b"123456"compute(old,new_,"diff_tmp.bin")withopen("diff_tmp.bin","rb")asf:diff=f.read()patch(old,diff,"new.bin")withopen("new.bin","rb")asf:newf=f.read()assertnew_==newfuseQBDIFF_USE_CFFIenv var to specify a backendPublic functionsQBERR_BADCKSUM:intQBERR_BADPATCH:intQBERR_IOERR:intQBERR_LZMAERR:intQBERR_NOMEM:intQBERR_OK:intQBERR_SAIS:intQBERR_TRUNCPATCH:intdefversion()->str:...deferror(code:int)->str:...defcompute(old:bytes,new_:bytes,diff_file:str)->int:...defpatch(old:bytes,patch_:bytes,new_file:str)->int:...BuildTwo env var is needed to build,LIBandINCLUDE.LIBis the path of liblzma.lib/liblzma.so,
andINCLUDEis the directory oflzma.hgitsubmoduleupdate--init--recursive
pythonsetup.pysdistbdist_wheel--use-cython--use-cffi
Package: qbeast-cli
Qbeast CLIA command line interface to interact with the Qbeast services.Quick StartInstall the CLIpipinstallqbeast-cliLogin to the Qbeast ServicesqbeastloginQbeast Expo commandsRegister a datasetqbeastexpocreate"My Share""Sales Data"s3a://my-bucket/my/table/pathaccount_idShare the dataset with peopleqbeastexpoinvite"My Share""Alice"alice@somewhere.comQbeast Curator commandsℹ️ You must be in the root of your project, where youringestion/andtransformation/directories are.You can also use--path "/path/to/project/"option.Manage your projects in the Qbeast Curator.# Create a projectqbeastcuratorprojectcreate-p"project-name"# List the projectsqbeastcuratorprojectlist# Get info about a projectqbeastcuratorprojectinfo-p"project-name"# Update a project's descriptionqbeastcuratorprojectupdate-p"project-name"-D"new description"# Delete a projectqbeastcuratorprojectdelete-p"project-name"Manage the Snapshots of a Project.# Create a snapshot of the project & upload it to the Curatorqbeastcuratorsnapshotcreate-p"project-name"--path/path/to/your/project# List the snapshots of a Projectqbeastcuratorsnapshotlist-p"project-name"# Get info about a Snapshotqbeastcuratorsnapshotinfo-p"project-name"-s"snapshot-id"# Delete a snapshotqbeastcuratorsnapshotdelete-p"project-name"-s"snapshot-id"Manage the Deployments of a Project.# Create a Deployment of a Snapshotqbeastcuratordeploymentcreate-p"project-name"-s"snapshot-id"-d"deployment-name"# List the Deployments of a Projectqbeastcuratordeploymentlist-p"project-name"# Get info about a Deploymentqbeastcuratordeploymentinfo-p"project-name"-s"snapshot-id"-d"deployment-name"# Delete a Deploymentqbeastcuratordeploymentdelete-p"project-name"-s"snapshot-id"-d"deployment-name"Manage the Runs of a Project# Start a run of a Deploymentqbeastcuratorrunstart-p"project-name"-s"snapshot-id"-d"deployment-name"# List the Runs of a Deploymentqbeastcuratorrunlist-p"project-name"-s"snapshot-id"-d"deployment-name"# Get info about a Runqbeastcuratorruninfo-p"project-name"-s"snapshot-id"-d"deployment-name"-r"run-id"# Delete a Runqbeastcuratorrundelete-p"project-name"-s"snapshot-id"-d"deployment-name"-r"run-id"# Get the logs of a Runqbeastcuratorrunlogs-p"project-name"-s"snapshot-id"-d"deployment-name"-r"run-id"
Package: qbeast-sharing
Qbeast SharingWarning: This project is an experimental extension to Delta Sharing!This project has been created by forking the official Delta Sharing repository in order to introduce sampling pushdown to the python client.Qbeast Sharingextends theDelta Sharingopen protocol and adds the capabilities of sampling large datasets. Delta Sharing has been designed for secure real-time exchange of large datasets, which enables secure data sharing across different computing platforms. It lets organizations share access to existingDelta LakeandApache Parquettables with other organizations, who can then directly read the table in Pandas, Apache Spark, or any other software that implements the open protocol.This is the Python client library for Delta Sharing, which lets you load shared tables aspandasDataFrames or asApache SparkDataFrames if running in PySpark with theApache Spark Connector library.Installation and UsageInstall usingpip install qbeast-sharing.To use the Python Connector, seethe project docsfor details.DocumentationThis README only contains basic information about the Qbeast Sharing Python Connector. Please readthe project documentationfor full usage details.
Package: qbeetle
beetle (甲壳虫)简介beetle是一个PyQt和Pyside项目开发框架。可以帮助你快速的创建、运行和编译项目，
并且还包含一些辅助开发工具来提高开发效率。fbs是一个另外一个框架， 它为打包、创建安装程序和对应用程序进行签名提供了强大的环境。 但是，fbs的开源版本支持的python版本为3.6，
以至于python的新特性，以及很多更新版本的包和模块都无法使用。beetle想解决这些问题，并提供了很多新的特性。还是要感谢fbs， 它还是为PyQt和Pyside项目开发提供了很多的遍历，beetle也在很多方面借鉴了fbs。开发计划开发一个工具beetle, 类似于fbs，预计具备如下功能:template_list 资源库中的项目模板列表update_template 从 Beetle 的官方项目模板库更新到本地项目模板库add_template 向 Beetle 添加新的客户定义的项目模板delete_template 删除 Beetle 的客户自定义项目模板。startproject 新建、初始化项目ui文件转py文件生成国际化（i18n）所需的ts文件ts文件转qmqrc 文件更新qrc 文件转py文件run 从源代码运行应用freeze, 将代码编译为独立的可执行文件(可选PyInstaller或nuitka)installer, 为应用创建安装程序test, 执行自动化测试(基于pytest)clean, 删除以前的生成输出安装beetle 可以从 PyPi 通过 pip 安装：pip install qbeetle文档请看 beetle使用文档
Package: qbertclient
Platform9 Qbert clientThis implementation of the Qbert client is an amalgam of various implementations in Platform9's internal tooling.
At the moment the goal is to get something out as quickly as possible.How to installpip install qbertclientUsagefrom qbertclient import qbert

qb = qbert.Qbert(token, 'https://<fqdn>/qbert/v3/<project_id>)The client also exposes a simple Keystone client which allows users to get a Keystone token:from qbertclient import qbert
from qbertclient import keystone

du_fqdn = "endpoint.platform9.net"
username = "username@platform9.net"
password = "hunter2"
project_name = "service"

ks = keystone.Keystone(du_fqdn, username, password, project_name)
token = ks.get_token()
project_id = ks.get_project_id(project_name)

qb = qbert.Qbert(token, "https://{}/qbert/v3/{}".format(du_fqdn, project_id))
print(qb.list_clusters())