Saravanan666/pypi-org huggingface dataset:
Package: qr-upn
QR UPN packageThis is a small package that will generate a QR UPN.
The package also checks the field length for each field and the validity of the field format.
This ensures that the generated QR code will be valid.
QR code validation checks were done using thissoftware.Feel free to address any issues or improvements.Installationpip install qr-upn==1.2.0Functions:All the following functions can be accessed using:fromqr_upn.utilsimport*gen_qr_upnThis function create a UPN document with a valid QR code.
The parameters the functionrequiresare the following:p_name: Payer namep_address: Payer addressp_post: Payer postal address and postal numberprice: Price the payer has to paydate: Date when the document is valid (DD.MM.YYYY)purpose_code: Purpose code which has to be valid (list of codes:LINK)purpose: Purpose of the paymentpay_date: Date until the bill has to be paid (DD.MM.YYYY)r_iban: Receiver IBANr_reference: Receiver reference (validated as mentioned:LINK)r_name: Receiver namer_address: Receiver addressr_post: Receiver postal address and postal numberOptional parameters:save_to: Path where the QR UPN document will be saved tosave_qr: Path where the QR code will be saved toshow: Visualize the generated QR UPN documentdata={'p_name':'JANEZ NOVAK','p_address':'Dunajska ulica 1','p_post':'1000 Ljubljana','price':'100','date':'25.04.2019','purpose_code':'SWSB','purpose':'Plačilo najemnine za marec 2019','pay_date':'30.04.2019','r_iban':'SI56037210001000102','r_ref':'SI06 125412-135-1257','r_name':'RentaCar d.o.o.','r_address':'Pohorska ulica 22','r_post':'2000 Maribor','save_to':'./test.png','save_qr':'./test_qr.png','show':True}gen_qr_upn(**data)validate_referenceFunctions that checks if the provided reference code is valid.
It supports the SI and RF model.
The function accepts a single parameter:validate_reference('SI02 5124123-62146-63720')SI_model_checkFunction that handles the SI reference model validation.SI_model_check('SI02 5124123-62146-63720')RF_model_checkFunction that handles the RF reference model validation.RF_model_check('SI02 5124123-62146-63720')
Package: qrzlib
qrzlibPython interface to qrz.comIn order to use this interface you need to have a valid Ham radio
license and a qrz.com account.Usageimportqrzlibqrz=qrzlib.QRZ()qrz.authenticate('qrz-id','xmldata-key')try:qrz.get_call('W6BSD')print(qrz.fullname,qrz.zip,qrz.latlon,qrz.grid,qrz.email)exceptQRZ.NotFoundaserr:print(err)On the first request the class QRZ get the data from the qrz web
service. Then, by default, the information will be cached forever.the object QRZ can also return all the fields as a dictionary of as a
json object.In[6]:qrz.to_dict()Out[6]:{'call':'W6BSD','aliases':'KM6IGK','dxcc':'291','fname':'Fred',...'ituzone':'6','geoloc':'user','born':None}
Package: qrztools
qrztoolsWARNING:This library is now deprecated. Usecallsignlookuptoolsinstead.QRZ API interface in PythonInstallationqrztoolsrequires Python 3.8 at minimum.# synchronous requests only$pipinstallqrztools# asynchronous aiohttp only$pipinstallqrztools[async]# both sync and async$pipinstallqrztools[all]# enable the CLI$pipinstallqrztools[cli]Note:Ifrequests,aiohttp, orrichare installed another way, you will also have access to the sync, async, or command-line interface, respectively.DocumentationDocumentation is available onReadTheDocs.CopyrightCopyright 2021 classabbyamp, 0x5cReleased under the BSD 3-Clause License.SeeLICENSEfor the full license text.
Package: qs
DescriptionQuickShare (qs) is a variant of the (now legacy) SimpleHTTPServer present in
python 2.x. It allows one to share quickly directories by opening a http
server. qs supports both python2 and python3.You can define an upload rate limit to prevent the clients from using all
your bandwidth and it automatically searches a free port if the given or
default one is taken.Why QuickShare?http://xkcd.com/949/Sharing is fun, but it quickly becomes a pain when dealing with multiple
operating systems, platforms and unexperimented users. Nowadays, almost
everything has a web interface, why should’nt we use it?DocumentationUsage: qs [-h] [-p PORT] [-r RATE] [--no-sf] [FILE]...

Options:
    -h, --help       Print this help and exit.
    -p, --port PORT  Port on which the server is listenning.
                     Default is 8000
    -r, --rate RATE  Limit upload to RATE in ko/s.
                     Default is 0 meaning no limitation.
    --no-sf          Do not search a free port if the selected one is taken.
                     Otherwise, increase the port number until it finds one.
    --version        Print the current version

Arguments:
    FILE             Files or directory to share.
                     Default is the current directory: `.'
                     If '-' is given, read from stdin.
                     If 'index.html' is found in the directory, it is served.Dependenciesdocopthttps://github.com/docopt/docoptor “pip install docopt”InstallThe simplest is to usepip install qsor, in this directory,python setup.py installLicenseThis program is under the GPLv3 License.You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.ContactMain developper: Cédric Picard
Email:           cedric.picard@efrei.net
Package: qsa
OpenQSA provides this Python package for QSA analysis of signals, including the JSON files exported from RTXI.It is recommended to install Python 3.7 with pip3 on the computer.It is also a good practice to work in isolation inside a python3 virtual environment.The package can be installed using pip3:pip3 install qsaDetailed instructions for installation and use are given on the official web siteopenqsa.org
Package: qsAPI
AboutqsAPI is a client for Qlik Sense QPS and QRS interfaces written in python that provides an environment for managing a Qlik Sense site via programming or interactive console. The module provides a set of commands for viewing and editing configuration settings, as well as managing tasks and other features available through APIs.InstallationYou could use your preferred IDE (Eclipse, Visual Code, NetBeans, etc.) with the python interpreter 3.x or directly in console. Take a look at (https://www.python.org). Once the module is loaded you can view a list of available commands with the autocomplete tooltips.Just execute in the command line (libraries and dependencies will be installed):pipinstallqsAPIOptionally, if you plan connect using NTLM authentication, then append optional target.pipinstallqsAPI[ntlm]Now, the module can be used just importing qsAPI.py at the beginning of your python script or console, the module will then be loaded and ready to use.>>>importqsAPIOr just a simple command line console if complex scripts are no needed:UsageConnecting with certificatesThe first step is to build a handler invoking the constructor of the class you will use containing the host parameters, this will attempt to connect to the Qlik Sense server. Just export previously from QlikSense console the certificate in portable format and copy the folder in your machine:>>>qrs=qsAPI.QRS(proxy='hostname',certificate='path\\client.pem')Connecting with windows credentials (NTLM)Alternatively, the constructor accept user credentials via arguments.>>>qrs=qsAPI.QRS(proxy='hostname',user=('yor_domain','username','password'))ExamplesCount users using a filterqrs.count('user',"Name eq 'sa_repository'")Duplicate an application in the serverqrs.AppCopy('a99babf2-3c9d-439d-99d2-66fa7276604e',"HELLO world")Export an applicationqrs.AppExport('a99babf2-3c9d-439d-99d2-66fa7276604e',"c:\\path\\myAppName.qvf")Export all published applications to directoriesforappinqrs.AppGet(pFilter="stream.name ne 'None'"):os.makedirs(app['stream']['name'],exist_ok=True)qrs.AppExport(app['id'],app['stream']['name']+'\\'+app['name'])Retrieve security rules using a filterqrs.SystemRulesGet("type eq 'Custom'")Retrieve a list of sessions for a user[x['SessionId']forxinqps.GetUser('DIR','name').json()]teardown of all connections for the user and related sessionsqps.DeleteUser('DIR','name')More examplesTake a look at the Wiki area: (https://github.com/rafael-sanz/qsAPI/wiki)Command LineAlternative use as command line is available too, examples:qsAPI --help
qsAPI -s myServer -c dir/client.pem -Q QRS TaskStartbyName "Reload License Monitor"
qsAPI -s myServer -c dir/client.pem -Q QRS -v INFO AppExport d8b120d7-a6e4-42ff-90b2-2ac6a3d92233
qsAPI -s myServer -c dir/client.pem -Q QRS -v INFO AppReload 79f0c591-67de-4ded-91ae-4865934a5746TODOThe module is in progress, a subset of methods are implemented. But all the endpoints could be implemented through the inner classdriverand the methodsget, post, put, delete.qps.driver.get('/qrs/about/api/enums')LicenseThis software is made available "AS IS" without warranty of any kind. Qlik support agreement does not cover support for this software.
Package: qsarify
qsarifyqsarify is a library of tools for the analysis of QSAR/QSPR datasets and models. This library is intended to be used to produce models which relate a set of calculated chemical descriptors to a given numeric endpoint. Many great tools will take the geometry or string data of a given chemical and computedescriptors, which are numeric measures of the properties of these, but you can generate some of these with another one of my scripts,Free Descriptors.DependenciesPython 3numpypandasscikit-learnmatplotlibInstallationpip install qsarifyWhat is included right now?Data preprocessing tools:data_toolsDimensionality reduction via clustering:clusteringFeature selection:Single threaded:feature_selection_singleMulti-threaded:feature_selection_multiModel Export and Visualization:model_exportCross Valiidation:cross_validationHow to useThe best way to learn how to use this library is to look at the example notebook in theexamplesfolder. This notebook will walk you through the workflow of using this library to build a QSAR model.Future PlansMassively parallel feature selection methods:CUDA accelerationMPI accelerationInclude Shannon Entropy as a dimensionality reduction metric in clusteringEmbedded kernel methodsMore visualization toolsMore cross validation toolsFeature selection tools for categorical dataContributingIf you would like to contribute to this project, please feel free to fork this repository and submit a pull request. Otherwise, you may also submit an issue. I will try to respond to issues as quickly as possible.LicenseThis project is licensed under the GNU GPLv3 license. See the LICENSE file for more details.CitationIf you use this library in your work, please cite it as follows:Szwiec, Stephen. (2023). qsarify: A high performance library for QSAR model development.BibTex:@misc{szwiec2023qsarify,
  author = {Szwiec, Stephen},
  title = {qsarify: A high performance library for QSAR model development},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/stephenszwiec/qsarify}},
  }
Package: qsarmodelingpy
QSARModelingPy CoreQSARModelingé uma ferramenta gratuita e open-source para a construção e validação de modelos QSAR e QSPR.Originalmente desenvolvidoem Java, esta biblioteca em Python permite ao usuário a aplicação programática, personalizável e escalável dos recursos do software.Alguns recursos podem ser destacados, como:Redução de dimensionalidade baseada em variância, correlação e autocorrelação;Seleção de variáveis: Ordered Predictors Selection (OPS) ou Algoritmo Genético (GA)Validação cruzada: y-randomization e leave-N-outValidação externaUsoEsta versão do QSARModelingPy Core é uma biblioteca para a linguagem de programação Python, com foco em programadores que desejam implementar sua própria versão do QSAR Modeling, expandi-lo ou utilizá-lo programaticamente. Se deseja uma versão funcional desenvolvida para o usuário final, veja asinterfaces do QSARModelingPy.Para utilizar, instale a biblioteca em seu ambiente.$pipinstallqsarmodelingpy
Package: qsarmodelingpy-gui
QSARModelingPyQSARModelingPy is an open-source computational package to generate and validate QSAR models.What youcando with QSARModelingPySelect variables through either OPS or Genetic AlgorithmDimensionality reduction:Correlation cutVariance cutAutocorrelation cutValidate your models:Cross Validationy-randomization / Leave-N-outExternal ValidationUsageAfter installing this package with:$ pip install qsarmodelingpy-guiJust launch the application:$ qsarmodelingpyor:$ python -m qsarmodelingpy-gui
Package: qsavvy
Qsavvysavvy's Quantum StuffDocumentation:https://anomius.github.io/qsavvyGitHub:https://github.com/anomius/qsavvyPyPI:https://pypi.org/project/qsavvy/Free software: BSD-3-ClauseFeaturesTODOCreditsThis package was created withCookiecutterand thewaynerv/cookiecutter-pypackageproject template.
Package: qscan
A Quasar Spectra Scanning ToolDescriptionThis program allows you to scan in velocity any quasar spectrum and with any transitions. This is very similar to RDGEN but with a more stable display. One can also select the fitting regions and prepare a preliminaryfort.13in order to start fitting with VPFIT.Installation & DependenciesThe program can be installed very easily using thepip Python package manageras follows:sudopipinstallqscanThe program was built using thePython Standard Libraryas well as 4 external Python packages:NumPy,Matplotlib,AstropyandSciPy.UsageThe usage is pretty straightforward and corresponds to the following:qscan<spectrum>--optionLicense(The MIT License)Copyright (c) 2016-2020, Vincent Dumont. All rights reserved.Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Package: qsci
Quantumscience is a tool designed to simplify the deployment of algorithms or applications onto quantum circuits. It builds upon the foundation of isqdeployer, which, in turn, utilizes isqc. As a result, qsci also possesses the potential to optimize circuit-level calculations.╔════════╗
      ║  qsci  ║   high level application 
      ╚═══╦════╝
          ║   
    ╔═════╩═══════════╗
    ║ isqdeployer     ║
    ║                 ║
    ║       ╔══════╗  ║   ╭────╮
    ║       ║pyisqc╠══╬═══╡isqc│  circuit optimization
    ║       ╚══════╝  ║   ╰────╯ 
    ╚══╤══════╤═════╤═╝
  ╭────┴────╮ │     │      
  │ hardware│ │     │     
  ╰─────────╯ │     │
        ╭─────┴───╮ │
        │simulator│ │ 
        ╰─────────╯ │
               ╭────┴───────╮
               │user-defined│  any prospective machine
               │   backend  │
               ╰────────────╯
Package: qsck
qsckPython library for serializing and deserializing a wonky format referred to
as ".qs" files. For full format specification, please read throughtests.test_serializeandtests.test_deserializetest suites and extrapolate.Quick StartUse Python ≥ 3.6 only.To install it, simply:pip3 install qsckSerializing DataVia Python:python3 -c "import qsck; print(qsck.serialize('LOG', '1553302923', [
    ('first_key', 'some value'),
    ('2nd_key', [('attr1', 'foo'), ('attr2', 'bar')]),
    ('3rd_key', {'subKey1': '-3', 'subKey2': None}),
    ('4th_key', None)
]))"Out comes a ".qs" record, like so:LOG,1553302923,first_key=some value,2nd_key={attr1=foo, attr2=bar},3rd_key={"subKey1":"-3","subKey2":null},4th_key=(null)The library also supports serializing data by passing in a JSON file via
the command-line toolqs-format, one record per line:qs-format my-records.json > my-records.qsDeserializing DataVia Python:python3 -c "import pprint, qsck; pprint.pprint(qsck.deserialize(
    'LOG,1553302923,first_key=some value,2nd_key={attr1=foo, \
    attr2=bar},3rd_key={\"subKey1\":\"-3\",\"subKey2\":null},4th_key=(null)'))"Out comes a friendly Python collection:('LOG',
 '1553302923',
 [('first_key', 'some value'),
  ('2nd_key', [('attr1', 'foo'), ('attr2', 'bar')]),
  ('3rd_key', {'subKey1': '-3', 'subKey2': None}),
  ('4th_key', None)])The library-providedqs-parsecommand-line tool supports deserializing a whole
".qs" log file, emitting one JSON record per input line to stdout:qs-parse my-records.qs > my-records.jsonContributingReally? Very welcome. Do the usual fork-and-submit-PR thingy.Running the tests:python setup.py testDistributing:pip3 install --upgrade twine wheel setuptools
python setup.py sdist bdist_wheel
twine upload dist/*Changelog0.3- Better DeserializationAdds support for funky "nested-nested lists" in .qs recordsSquashing complex comma (,) values0.2– Deserialize AddedAdds support for de-serializing ".qs" records.0.1– Initial ReleaseSupports serializing ".qs" records.
Package: qsct
QSCT - (Qodex Software Communication Tools) - это класс, представляющий из себя набор инструментов для
создания API и SDK. Является супер-классом для суб-классов:
1) QPI (Qodex Programming Interface) - API для ПО разработки компании Qodex,
2) QDK (Qodex Development Kit) - SDK для взаимодействия с API ПО Qodex.
QSCT опредлеяет методы передачи и получения данных, а также прочего взаимодействия между этими инструментами.v. 0.02
Добавлен метод для хеширования пароля с помощью алогритма SHA-512
Package: qsct-hs
QSCT - (Qodex Software Communication Tools) - это класс, представляющий из себя набор инструментов для
создания API и SDK. Является супер-классом для суб-классов:
1) QPI (Qodex Programming Interface) - API для ПО разработки компании Qodex,
2) QDK (Qodex Development Kit) - SDK для взаимодействия с API ПО Qodex.
QSCT опредлеяет методы передачи и получения данных, а также прочего взаимодействия между этими инструментами.v. 0.02
Добавлен метод для хеширования пароля с помощью алогритма SHA-512
Package: qsctl
qsctl is intended to be an advanced command line tool for QingStor, it provides
powerful unix-like commands to let you manage QingStor resources just like files
on local machine. Unix-like commands contains: cp, ls, mb, mv, rm, rb, and sync.
All of them support batch processing.Installationvirtualenv:$ pip install qsctlSystem-Wide:$ sudo pip install qsctlOn Windows systems, run it in a command-prompt window with administrator
privileges, and leave out sudo.Getting StartedTo use qsctl, there must be a configuration file , for example:access_key_id: 'ACCESS_KEY_ID_EXAMPLE'
secret_access_key: 'SECRET_ACCESS_KEY_EXAMPLE'The configuration file is~/.qingstor/config.yamlby default, it also
can be specified by the option-c/path/to/config.You can also config other option likehost,portand so on, just
add lines below into configuration file, for example:host: 'qingstor.com'
port: 443
protocol: 'https'
connection_retries: 3
# Valid levels are 'debug', 'info', 'warn', 'error', and 'fatal'.
log_level: 'debug'Available CommandsCommands supported by qsctl are listed below:lsList QingStor keys under a prefix or all QingStor buckets.cpCopy local file(s) to QingStor or QingStor key(s) to local.mbCreate a QingStor bucket.rbDelete an empty QingStor bucket or forcibly delete nonempty QingStor bucket.mvMove local file(s) to QingStor or QingStor key(s) to local.rmDelete a QingStor key or keys under a prefix.syncSync between local directory and QingStor prefix.presignGenerate a pre-signed URL for an object.ExamplesList keys in bucket <mybucket> by running:$ qsctl ls qs://mybucket
Directory                          test/
2016-04-03 11:16:04     4 Bytes    test1.txt
2016-04-03 11:16:04     4 Bytes    test2.txtSync from QingStor prefix to local directory:$ qsctl sync qs://mybucket3/test/ test/
File 'test/README.md' written
File 'test/commands.py' writtenSee the detailed usage and more examples with ‘qsctl help’ or ‘qsctl <command> help’.
Package: q_searcher
量化的时序函数包投研团队自用包，出问题了请提 Issue、修复后请关闭 Issue。功能列表初始化td_init_run(configs=None)：初始化包td_db_connect()：获取一个数据库连接A 股获取信息获取所有指数（股票市场、当前有效的）: get_all_index获取所有股票（股票市场、当前有效的）: get_all_security获取标的的最新信息（股票市场、不包含未来）: get_data获取龙虎榜股票列表: get_dragon_tiger_listCode/Style Linter我们使用Ruff作为代码检查器，请在提交前使用以下命令，确保 PR 的顺利进行：ruff check .ruff format .打包更新pyproject.toml文件执行./build.sh输入 API token旧的打包方式：更新pyproject.toml文件执行python -m build执行python -m twine upload dist/*对输入框，输入账号:__token__并回车最后输入 API token 即可测试需要运行自动化测试？poetry run pytest如果你希望使用 Poetry 提供的虚拟机制，也需要本地提示。试试这个：执行python -m build本地安装包pip install dist [package-...-any.whl]
Package: qsee
<img width = ‘200px’ src = ‘./logo.png’/>### qsee: A quantum object search engineContributors: Vu Tuan Hai, Nguyen Tan Viet, Le Bin HoDescription: Quantum programming is being used to address multiple problems in quantum technology fields, from quantum machine learning, quantum computing to quantum physics. Recent advances revolve around the use of quantum programming and quantum compiling, which promises to revolutionize program computation and boost quantum state preparation and tomography’s problem-solving capabilities. However, using quantum computing technologies requires high-level coding skills, which is not trivial for physics scientists. For such a reason, we propose qsee, a Python library that allows researchers and practitioners to configure and experiment with quantum compilation pipelines, within save and load results features for science reports. We showcase the architecture and main features of qsee, other than discussing its envisioned impact on research and practice.How to use:Additional information:Code of conducting:License: MIT LICENSE
Package: qself
qselfThis file will become your README and also the index of your
documentation.InstallpipinstallqselfHow to useimportosfromqself.ouraimportOuraAPIClientclient=OuraAPIClient(os.environ["OURA_PERSONAL_ACCESS_TOKEN"])Note that this assumes that theOURA_PERSONAL_ACCESS_TOKENenvironment
variable contains a personal access token which you can createhere.