Saravanan666/pypi-org huggingface dataset:
Package: rfive
rfive 0.2A unified interface into multiple cloud providers.To install use pip install git+git://git@github.com:iPlantCollaborativeOpenSource/rfive.git----rfive=====Example use of the class```pythonfrom fabricSSH import *client = fabricSSHClient("128.196.142.120",ssh_config_path="~/.ssh/config")client.connect()client.run("apt-get update; apt-get install -y emacs vim wget language-pack-en"+ " make gcc g++ gettext texinfo autoconf automake")# This is to copy a local version of sampleScript.sh over to a remote# box. This will be placed in ~/test.test = client.put("~/test","sampleScript.sh",True, 0755)#This will delete the file sampleScript.shvalue = client.delete("test/sampleScript.sh")```Based upon the success of prior astromech models, such as the wildly popular R2-series, Industrial Automaton intended the R5-series to cater to budget buyers at the cost of some functionality.----For more information, please see: https://github.com/iPlantCollaborativeOpenSource/rfive
Package: rfk101py
RFK101 PackagePackage to receive proximity card and keypad data from an RFK101
reader from IDTECK.  The RFK101 RS232 connection is done through
an Ethernet adaptor (NPort).Example:from time import sleep
from rfk101py import rfk101py

def callback(data):
    print("Received:",data)

rfk = rfk101py( 'host.test.com', 4008, callback )

# Sleep for 10 seconds waiting for a callback
sleep(10.)

# Close the interface
rfk.close()
Package: rfkadapter
RFKAdapter 0.3.7RFKAdapter enables easy access to local legacy xBase (DBF)databasesoriginally used by dBase, Clipper, FoxPro etc. It includes a native Harbour adapter component for datatableaccess and full support for index updating. MEMO fields are skipped, this can be fixed. Indices get sorted alphabetically e.g.['PROM01', 'PROM02', 'PROM03', 'PROM04'].RFKAdapter omogućava jednostavan pristup lokalnim legacy xBase (DBF)bazama podatakaoriginalno korištenim u programskim jezicima dBase, Clipper, FoxPro etc. Uključuje native Harbour adapter komponentu za pristuptabelamai punu podršku za održavanje indeksa. MEMO polja su zanemarena, što može biti popravljeno. Indeksi se sortiraju po alfabetu npr.['PROM01', 'PROM02', 'PROM03', 'PROM04'].InstallEnsure thatdbfadapteris compiled and present on the system path, instruction available inharbourfolder README.Osigurajte da jedbfadapterkompajliran i dostupan napathputanji pretrživanja, uputstva dostupna u README unutarharbourdirektorija.pipinstallrfkadapter
Package: rf-kiticalibrary
KiticaLibraryLibrary Scope:GLOBALCreated:02/04/2020 14:55 UTC-8Author:Joshua Kim Rivera | email:joshua.rivera@mnltechnology.comCompany:Spiralworks Technologies Inc.Contents:IntroductionInstallationUsageGenerating DocumentationIntroductionKiticaLibraryis aRobotframeworkTest Library for Devicepool support.It is a Robot Framework third party library that enables test to borrow available user from a device pool. These allows test to run in CI server without user conflict and lessen setup and maintenance on a project.View the latest keywordDocumentation here.InstallationInstall using pypi, run:pipinstallrf-kiticalibraryUsageTo use UserpoolLibrary in Robot Framework tests, the library needs to
first be imported using theLibrarysetting as any other library.*** Settings ***DocumentationDemo file for KiticaLibraryLibraryKiticaLibrary...http://kitica.api*** Test Case ***Test Borrow[Documentation]Sample Borrow Device.${device}Borrow Android DeviceSet Global Variable${device}Test Return[Documentation]Test Return DeviceLog To Console${device}Return Device${device}Generating DocumentationTo Generate the keyword Documentation, simple run:python-mrobot.libdocKiticaLibrarydocumentation.htmlWhere documentation.html is the name of the documentation file to be generated.Note that the library must first be installed before generating a documentation.
Package: rflask
Init Flask Restful ApiThis project is no longer maintained, please visit：https://github.com/Deacone/cookiecutter-flask-restInstallingInstall and update usingpip:pipinstall-UrflaskExample$rflaskinitproject_name:[flask-restful-api-20200125-090404]author:[Deacon]author_email:[deacon@example.com]description:[Flaskrestfulapiproject.]......Createfile/Users/donghp/Downloads/Git_doc/PythonProject/init-flask-restful-api/flask-restful-api-20200125-090404/supervisord_example.confDone.Project directory tree.
    ├── applications
    │   ├── test
    │   │   ├── README.rst
    │   │   ├── __init__.py
    │   │   ├── models.py
    │   │   ├── urls.py
    │   │   └── views.py
    │   ├── user
    │   │   ├── README.rst
    │   │   ├── __init__.py
    │   │   ├── models.py
    │   │   └── views.py
    │   └── __init__.py
    ├── enums
    │   └── __init__.py
    ├── exceptions
    │   ├── __init__.py
    │   └── project_excepions.py
    ├── flask_ext
    │   ├── __init__.py
    │   └── logger.py
    ├── logs
    ├── requirements
    │   ├── dev.txt
    │   └── prod.txt
    ├── scripts
    │   ├── __init__.py
    │   └── commands.py
    ├── utils
    │   └── __init__.py
    ├── Dockerfile
    ├── LICENSE
    ├── Pipfile
    ├── README.md
    ├── __init__.py
    ├── app.py
    ├── autoapp.py
    ├── compat.py
    ├── database.py
    ├── docker-compose.yml
    ├── extensions.py
    ├── gunicorn.conf.py
    ├── gunicorn_example.conf.py
    ├── settings.py
    ├── setup.py
    ├── supervisord.conf
    └── supervisord_example.confThen, you can do like this:$ cd your_project
$ pip install pipenv
$ pipenv install --dev
$ pipenv run python app.py
 * Serving Flask app "autoapp" (lazy loading)
 * Environment: dev
 * Debug mode: on
2020-01-23 13:03:24,151 [4554636736:MainThread] [_internal.py:_internal:_log] [INFO]:  * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
2020-01-23 13:03:24,152 [4554636736:MainThread] [_internal.py:_internal:_log] [INFO]:  * Restarting with stat
2020-01-23 13:03:24,600 [4616764864:MainThread] [_internal.py:_internal:_log] [WARNING]:  * Debugger is active!
2020-01-23 13:03:24,604 [4616764864:MainThread] [_internal.py:_internal:_log] [INFO]:  * Debugger PIN: 186-303-110Deploy to dockerIn project root direcroty, open terminal:$ git clone ***.git
$ cd <your_project>
$ docker-compose upLinksDocumentation:https://github.com/Deacone/init-flask-restful-api/blob/master/README.mdCode:https://github.com/Deacone/init-flask-restful-apiIssue tracker:https://github.com/Deacone/init-flask-restful-api/issuespip:https://pip.pypa.io/en/stable/quickstart/
Package: rf-linkbudget
rf-linkbudgetThe current Documentation is found under this link :https://rf-linkbudget.readthedocs.io/en/latest/index.htmlAbstractRF-LinkBudget is a software package to aid RF Hardware Developer in defining and comparing LinkBudget’s of RF Ciruits.
It calculates key parameter’s like cumulative Noise Figure, cumulates Gain, Intermodulation Signal Amplitudes and so on.Changelog1.1.5fixed calculation of Noisefigure value.Also added noise term in signal source in the examples to clearify how to configure them properly1.1.4added feature to use current simulation parameters in a callback function for a switch or attenuator1.1.3fixed typo in thesetDirectionfunction of the SPDT switch1.1.2added more unit testsadded more parameter verificationSPDTSwitches now have an Iso parameter for an isolation value1.1.1Updated examples withFiltercomponentadded first bunch of unittests1.1.0Changed Attenuator OIP3 to IIP3 value.This change breaks old scripts!1.0.2AddedFilterComponent
Package: rf-lint
Welcome to Robot Framework LintStatic analysis for robot framework plain text files.This is a static analysis tool for robot framework plain text files.Installation InstructionsThe preferred method of installation is to use pip:$ pip install –upgrade rf-lintThis will install a package named “rflint”, and an executable named “rflint”Running the linterTo run, use the command “rflint”, or use the-moption to python to
run the rflint module. Add one or more filenames as arguments, and
those files will be checked for rule violations.Custom rulesRules are simple python classes. For more information about how to
write rules, see the
[robotframework-lint wiki](https://github.com/LDerikx/rf-lint/wiki)Argument filesrflint supports argument files much in the same way as robot framework. You can
put arguments one per line in a file, and reference that file with the option-Aor–argument-file.Argument files are a convenient way to create a set of rules and rule configurations
that you want to apply to your files.Examples$ rflint myTestSuite.robotTo see a list of all of the built-in rules, run the following command$ rflint –listTo see documentation, add the –verbose option:$ rflint –list –verboseSome rules are configurable. For example, to configure the “LineTooLong”
rule to flag lines longer than 80 characters (the default is 100), you
can change the default value with the configure option:$ rflint –configure LineTooLong:80 myTestSuite.robotYou can disable any rule, or configure it to be a warning or error
with the options –warning, –error and –ignore. For example, to
ignore the LineTooLong rule you can do this:$ rflint –ignore LineTooLong myTestSuite.robotTo see a list of all command line options, use the–helpoption:$ python -m rflint –helpExample output:$ python -m rflint myTestSuite.robot
+ myTestSuite.robot
W: 2, 0: No suite documentation (RequireSuiteDocumentation)
E: 15, 0: No keyword documentation (RequireKeywordDocumentation)This show a warning on line two, character 0, where there should be suite
documentation but isn’t. It also shows an error on line 15, character 0,
where there should be keyword documentation but there isn’t.AcknowledgementsA huge thank-you to Echo Global Logistics (http://www.echo.com) for
supporting the development of this package.
Package: rflogger
Python Logger:This script was made for logging as fast and simple as possible. Make sure you have write permission for your log file.It's reccommended that you use an absolute route for your log file.Multiple instances of this logger can be used (With same or different log_name)Sample usage:from pathlib import Path # This line is intended for using Path(), it is not required for LocalLogger
from pythonlogger.logger import LocalLogger

log = LocalLogger(str(Path(__file__).resolve().parent) + '/log.log', 'Some-logger')
log.debug('mensaje debug')
log.info('mensaje info')
log.warning('mensaje warning')
log.error('mensaje error')
log.critical('mensaje critical')By default, it logs from WARNING to CRITICAL messages. If you want to change it, you can calllog.SetLevel('debug')to log every message.Made by Juan Ignacio De Nicola. Feel free to redistribute or modify it as you wish.
Package: rflogger-jdenicola
Python Logger:This script was made for logging as fast and simple as possible. Make sure you have write permission for your log file.It's reccommended that you use an absolute route for your log file.Multiple instances of this logger can be used (With same or different log_name)Sample usage:from pathlib import Path # This line is intended for using Path(), it is not required for LocalLogger
from pythonlogger.logger import LocalLogger

log = LocalLogger(str(Path(__file__).resolve().parent) + '/log.log', 'Some-logger')
log.debug('mensaje debug')
log.info('mensaje info')
log.warning('mensaje warning')
log.error('mensaje error')
log.critical('mensaje critical')By default, it logs from WARNING to CRITICAL messages. If you want to change it, you can calllog.SetLevel('debug')to log every message.Made by Juan Ignacio De Nicola. Feel free to redistribute or modify it as you wish.
Package: rfm
rfmrfm: Python Package for RFM Analysis and Customer SegmentationInforfmis a Python package that providesrecency, frequency, monetary analysisresults
for a certain transactional dataset within a snap. Its flexible structure and multiple automated
functionalities provide easy and intuitive approach to RFM Analysis in an automated fashion.
It aims to be a ready-made python package with high-level and quick prototyping.
On practical hand,real world datais easily suited and adapted by the package.
Additionally, it can make colorful, intuitive graphs using a matplotlib backend without
breaking a sweat.InstallationDependenciesPython (>=3.7)Pandas (>=1.2.4)NumPy (>=1.20.1)matplotlib (>=3.3.4)To install the current release (Ubuntu and Windows):$ pip install rfmUsage# predefine a transaction dataset as df

>>> from rfm import RFM

>>> r = RFM(df, customer_id='CustomerID', transaction_date='InvoiceDate', amount='Amount')

>>> r.plot_segment_distribution()LicenseMITDocumentation<-- Temporarily Hosted Here -->InitializationRead required dataframe>>> df = pd.read_csv('~./data.csv')Import RFM package and start rfm analysis automatically:>>> from rfm import RFM

>>> r = RFM(df, customer_id='CustomerID', transaction_date='InvoiceDate', amount='Amount') 

>>> r.rfm_tableIf you want to do rfm analysis manually:>>> r = RFM(df, customer_id='CustomerID', transaction_date='InvoiceDate', amount='Amount', automated=False)AttributesRFM.rfm_tablereturns resultant rfm table df generated with recency, frequency & monetary values and scores along with segments>>> r.rfm_tableRFM.segment_tablereturns segment table df with 10 unique categories i.e. Champions, Loyal Accounts etc.>>> r.segment_tableMethodsRFM.plot_rfm_histograms()Plots recency, frequency and monetary histograms in a single row>>> r.plot_rfm_histograms()RFM.plot_rfm_order_distribution()Plots orders by customer number>>> r.plot_rfm_order_distribution()RFM.plot_versace_plot(column1, column2)Plots scatterplot of two input columns>>> r.plot_versace_plot(column1='recency',column2='monetary_value')>>> r.plot_versace_plot(column1='recency',column2='frequency')>>> r.plot_versace_plot(column1='frequency',column2='monetary_value')RFM.plot_distribution_by_segment(column, take)Plots Distribution of input column by segment>>> r.plot_distribution_by_segment(column='recency',take='median')>>> r.plot_distribution_by_segment(column='frequency',take='median')>>> r.plot_distribution_by_segment(column='monetary_value',take='median')RFM.plot_column_distribution(column)Plots column distribution of input column>>> r.plot_column_distribution(column='recency')>>> r.plot_column_distribution(column='frequency')>>> r.plot_column_distribution(column='monetary_value')RFM.plot_segment_distribution()>>> r.plot_segment_distribution()Plots Segment Distribution, i.e. Segments vs no. of customersRFM.find_customers(segment)returns rfm results df with input category>>> r.find_customers('Champions')
Package: rfm-package
RFM PackageA Python package for Recency, Frequency, Monetary model (RFM), which is an analysis is a behavior based technique used
to segment customers by examining their transaction history.how recently a customer has purchased (Recency)how often they purchase (Frequency)how much the customer spends (Monetary)LicenseFree software: MIT licenseDocumentation:https://rfm-package.readthedocs.io.InstallationYou can install the package usingpip install rfm_packageUsage Testorders = pd.read_csv(r'C:/Users/Admin/Desktop/RFM-Package/rfm_package/data/orders.csv', parse_dates = ['order_date'])

columns = create_rfm_columns(orders, "customer_id", "order_date", "revenue")
print(columns)

scaled = scale_rfm_columns(columns)
print(scaled)

plot_rfm(scaled)

scores = rfm_scores(scaled)
print(rfm_scores(scaled))

named_segments = give_names_to_segments(scores)
print(named_segments)

dist = segments_distribution(named_segments)
print(dist)

visualize_segments(dist)CreditsThis package was created with Cookiecutter_ and theaudreyr/cookiecutter-pypackage_ project template... _Cookiecutter:https://github.com/audreyr/cookiecutter.. _audreyr/cookiecutter-pypackage:https://github.com/audreyr/cookiecutter-pypackage=======
History0.1.0 (2022-12-15)First release on PyPI.
Package: rfm-segmentation
RFM PackageRFM Package for Customer SegmentationFree software: MIT licenseDocumentation:https://rfm-segmentation.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2022-12-11)First release on PyPI.
Package: rf-otp
rf-otpRobotFramework tools provided by QA teamDocumentationhttps://packaging.python.org/en/latest/tutorials/packaging-projects/Configuration .pypircFile in ~/.pypirc
https://packaging.python.org/en/latest/specifications/pypirc/
https://python-packaging.readthedocs.io/en/latest/dependencies.htmlPackagingPrerequisiteConfigure python virtual env
- python -m venv .venv
Activate pyhton virtual env
- .venv\Scripts\activate
Update pip
- %CD%\.venv\Scripts\python.exe -m pip install --upgrade pip
Install/Update setuptools
- pip install --upgrade setuptools
Intall build package
- pip install --upgrade build
Install twine package
- pip install twineIntall package associated to the toolsNeed by biuldOTP.py (repository: https://pypi.org/project/pyotp/)
- pip install pyotp==2.6.0Build the packageChange version in files:
- pyproject.toml
- setup.cfg
- setup.py
Build the package
- python -m build
Will create files .tar.gz and .whl in ./dist directoryUpload packageIn current terminal define proxy your proxy
set PROXY=http://[username]:[password]@proxygeadm.etat-ge.ch:3128
set HTTP_PROXY=%PROXY%
set HTTPS_PROXY=%PROXY%

Execute commande
- python -m twine upload --repository pypi dist/*
Or
- twine upload --repository pypi dist/*pip installationpip install rf-otp==0.1.11pdm installationpdm add --save-exact rf-otp==0.1.11Project configurationUse library in robot file.Add the library in robot file
- Library   rf_otp

Use the library in robot file
- ${GENERATE_KEY} Get Otp ${SECRET}

${SECRET} is extract from the QR Code as follow:
QR Code as URI => otpauth://[URL]?secret=[SECRET]&issuer=[TEXTE]
Extract [SECRET] and use it in statement of your robot file
- ${SECRET} [SECRET]

${GENERATE_KEY} is the variable with the 6 digits code generated.Update VersionUpdate files:
- pyproject.toml
- setup.cfg
- setup.pyDocumentationhttps://towardsdatascience.com/setuptools-python-571e7d5500f2Setuptools KeywordsFor file setup.py
https://setuptools.pypa.io/en/latest/references/keywords.htmlFile: setup.cfgIs an ini file containing option defaults for setup.py commands.
Package: rf-phate
RF-PHATERF-PHATE provides code used in the paper, "Random Forest-based Diffusion Information Geometry for Supervised Visualization and Data Exploration"
The code may be used to generate random forest proximities which may, in turn, be used in multiple dimensionality-reduction algorithms.Installationpipinstallrf_phateUsagefromrf_phateimportRandomForest,Embeddings# Creates a random forest classifier objectrf=RandomForest.rf_classifier(n_estimators=500,n_jobs=-2).fit(X,y)# Generates random forest proximities based on the data matrix Xproximities=rf.get_proximities(X,method='oob',matrix_type='sparse')# Generates the RF-PHATE embeddingsemb=Embeddings.get_rf_embeddings(proximities,label_type='classification',types='phate',n_components=2,random_state=0,n_jobs=-2)importance_correlation=Embeddings.get_importance_correlation(X,y,emb['phate'])License[GNU]
Package: rfpimp
A library that provides feature importances, based upon
the permutation importance strategy, for general scikit-learn
models and implementations specifically for random forest out-of-bag scores.
Built by Terence Parr and Kerem Turgutlu.
See <a href=”http://explained.ai/rf-importance/index.html”>Beware Default
Random Forest Importances</a> for a deeper discussion of the issues surrounding
feature importances in random forests.
Package: rfplasmid
RFPlasmid
Predicting plasmid contigs from assemblies using single copy marker genes, plasmid genes, kmersLinda van der Graaf-van Bloois, Jaap Wagenaar, Aldert ZomerIntroduction: Antimicrobial resistant (AMR) genes in bacteria are often carried on plasmids. Since these plasmids can spread the AMR genes between bacteria, it is important to know if the genes are located on highly transferable plasmids or in the more stable chromosomes. Whole genome sequence (WGS) analysis makes it easy to determine if a strain contains a resistance gene, however, it is not easy to determine if the gene is located on the chromosome or on a plasmid as genome sequence assembly generally results in 50-300 DNA fragments (contigs). With our newly developed prediction tool, we analyze the composition of these contigs to predict their likely source, plasmid or chromosomal. This information can be used to determine if a resistant gene is chromosomally located or on a plasmid. The tool is optimized for 19 different bacterial species, including Campylobacter, E. coli, and Salmonella, and can also be used for metagenomic assemblies.Methods: The tool identifies the number of chromosomal marker genes, plasmid replication genes and plasmid typing genes using CheckM and DIAMOND Blast, and determines pentamer frequencies and contig sizes per contig. A prediction model was trained using Random Forest on an extensive set of plasmids and chromosomes from 19 different bacterial species and validated on separate test sets of known chromosomal and plasmid contigs of the different bacteria. Results: Prediction of plasmid contigs was nearly perfect when calculated based on number of correctly predicted bases, with up to 99% specificity and 99% sensitivity. Prediction of small contigs remains difficult, since these contigs consists primarily of repeated sequences present in both plasmid and chromosome, e.g. transposases.Conclusion: The newly developed tool is able to determine if contigs are chromosomal or plasmid with a very high specificity and sensitivity (up to 99%) and can be very useful to analyze WGS data of bacterial genomes and their antimicrobial resistance genes.A web-interface to test single fasta files is available here:http://klif.uu.nl/rfplasmid/
Package: rfpython
rfpython: run python functionA simple tool to run (or debug) a python function inside a python script from the command line.Usagerfpython python-file function-nameUsing VSCode Debugger:rfpython python-file function-name --debuggerWith a remote attach configuration:{
        "name": "Python: Remote Attach",
        "type": "python",
        "request": "attach",
        "port": 5678,
        "host": "localhost",
        "pathMappings": [
            {
                "localRoot": "${workspaceFolder}",
                "remoteRoot": "."
            }
        ]
    }Installationrfpython isavailable from the Python Package
Index, so simply dopip install rfpythonto install.TestingTo run the rfpython unit tests, check out this repository and typepytestLicenserfpython is published under theMIT license.