Saravanan666/pypi-org huggingface dataset:
Package: ddrage
ddRAGE (ddRAD Data Generator) is a software to simulate double digest restriction site associated DNA sequencing reads.
The generated data sets can be used to test ddRAD analysis tools and validate their results.The documentation, including a tutorial, can be foundhere.
The code is hosted onbitbucket,PyPI, andbioconda.System Requirementspython >= 3.5numbanumpymatplotlibpyyamlscipyFor the docs:sphinxFor parameter visualization:bokehInstallationWe recommend the installation using conda:$condacreate-nddrage-cbiocondaddrage$sourceactivateddrageAlternatively, you can download the source code frombitbucketand install it using the setup script:$gitclonehttps://bitbucket.org/genomeinformatics/rage.gitddrage$cdddrage/rage$pythonsetup.pyinstallIn this case you have to install the requirements listed above.UsageTo simulate a ddRAD data set, call ddrage from the command line:$ddrageyou can specify parameters to change data set parameters such as number of individuals (-n), nr of loci (-l), and coverage (--coverage):$ddrage-n6-l10000--coverage30This creates a data set with reads from 6 individuals at 10000 loci with an expected coverage of 30.A more detailed tutorial can be foundon readthedocs.Citing ddRAGEOur paper describing ddRAGE has been published inMolecular Ecology Resources.
You can cite it as follows:Timm H, Weigand H, Weiss M, Leese F, Rahmann S. ddRAGE: A data set generator to evaluate ddRADseq analysis software. Mol Ecol Resour. 2018;18:681–690. https://doi.org/10.1111/1755-0998.12743BibTeX version:@article{timm2018ddrage,
  title={ddrage: A data set generator to evaluate ddRADseq analysis software},
  author={Timm, Henning and Weigand, Hannah and Weiss, Martina and Leese, Florian and Rahmann, Sven},
  journal={Molecular Ecology Resources},
  volume={18},
  number={3},
  pages={681--690},
  year={2018},
  url ={http://dx.doi.org/10.1111/1755-0998.12743},
  doi ={10.1111/1755-0998.12743},}
Package: ddr-cantera
ddr_canteraTo use this project Cantera should be installed in the environment otherwisemodule not found errorwill arise. Cantera is not installed by uinstalling this package.
This project includes some basic functionalities with cantera. Most of them includes density calculations using cantera but not all. Most functions calculates properties of air unless otherwise specified.importddr_canteraAir properties calculationdensity=ddr_cantera.get_density(pressure=10,temperature=120)returns air density at 10 bars(~ atm) pressure and 120 degree celcius temperature.mdot=ddr_cantera.LPM_to_kg_per_sec(LPM=100,pressure=10,temperature=120)returns mass flow rate of air in kg/s from LPM.mdot=ddr_cantera.SLPM_to_kg_per_sec(SLPM=100)returns mass flow rate of air in kg/s from SLPM. standard temperature is taken as 25 degree celcius and standard pressure is 1 atmosphere.a=ddr_cantera.sound_speed(pressure=2,temperature=25)returns speed of sound in air. the sound speed is calculated by $\sqrt{\frac{\partial P}{\partial \rho}}$. wherein the gas is first equilibrium at initial TP and then pressure is perturbed and gas is again taken to another equilibrium at constant entropy. Hence from these two states $\partial P$ and $\partial \rho$ can be calculated.This code is built upon the code from official cantera tutorials.
Package: ddr-clips
The ddr-clips runtime is available fromwww.pypi.org:https://pypi.org/project/ddr-clips/The ddr-clips runtime is installed by running: python3 -m pip install ddr-clipsThe following modules are installed:ddrclass - Python module containing DDR Class implementing the DDR runtime
genie_parsers - Parsing classes to convert unstructured text, CLI command/show command/log file content to Python dictionaries used to generate CLIPs FACTs
ddrrun - Python script used to execute DDR usecase
ddrparserlib - DDR functions used during testing of parsersUpdate ddr-clips PyPi repositoryThe following modules are required to build and upload Python projects:python3 -m pip install build
python3 -m pip install twine
python3 -m pip install wheelTo upload to PyPi you must have an account on PyPi.orgPython setup.py file
A "setup.py" file in the ddr-clips directory controls building the ddr-clips package.  The version number highlighted in red must be updated each time the package is uploaded.The modules in the 'py_modules' list are built into the  clips installation.import setuptoolswith open("README.md", "r") as fh:
long_description = fh.read()setuptools.setup(
    name="ddr-clips", # DDR-CLIPs runtime
    version="0.1.2", #Update the version number here
    author="Peter Van Horne",
    author_email="petervh@cisco.com",
    description="Distributed Device Reasoning (DDR) CLIPs runtime",
    long_description=long_description,
    long_description_content_type="text/markdown",
    url="https://wwwin-github.cisco.com/petervh/ddr-clips",
    classifiers=[
        "Programming Language :: Python :: 3",
        "License :: OSI Approved :: MIT License",
         "Operating System :: OS Independent",
                     ],
python_requires='>=3.6',
py_modules=['genie_parsers', 'ddrclass', 'ddrparserlib', 'ddrrun'],
 )Building and uploading ddr-clips
cd ddr-clips/ddr-packaging
cd dist
rm *
cd ..
python3 -m build
python3 -m twine upload --repository pypi dist/* --verbose
Package: ddreport
1.当请求成功时，编辑信息头将不会再覆盖请求时设置的信息头内容; 2.关键字改为小写（API->api, GVALUE->gval, FC->fc, MYSQL->mysql）; 3.一条用例支持多个参数化; 4.重写动态参数化实现逻辑
Package: ddr-general
ddr_generalContains basic functionalities used freqeuntly.importddr_generalmake directoryddr_general.make_dir(r'C:/user/fold1')makesfold1directory inuserdirectory. If directory already exists then funtion does nothing.get folder informationddr_general.get_dir_path(r'C:/user/fold1')returns the list of paths of all folders (only) withinfold1directory.ddr_general.get_dir_name(r'C:/user/fold1')returns the  list of names of all folders (only) withinfold1directory.ddr_general.get_file_path(r'C:/user/fold1')returns the list of paths of all files (only) withinfold1directory.ddr_general.get_file_name(r'C:/user/fold1')returns the list of names of all files (only) withinfold1directory.
Package: ddr-lite
Instructions to build and publish updated ddr-lite1. Edit ddr-lite/ddr-packaging/setup.py with new version number2. rm -rf ddr-lite/ddr-packaging/dist3. Run following commands in: ddr-lite/ddr-packagingpip3 install build
pip3 install twine
pip3 install wheel
python3 -m build
python3 -m twine upload --repository pypi dist/* --verbose
Package: ddr-mfc
ddr_mfcPakcage uses alicat python package to control the alicat made mass flow controllers. This package is built upon that package. By installing this package, alicat is installed automatically as a requirement.Install ddr_mfcInstall ddr_davis_data using pip.pipinstallddr_mfcInstantiationimportddr_mfcprint(ddr_davis_data.version)0.0.2to start the flow controller you will need to know in which port the flow controller is connected. Also the address of the flow controller is required. This can be set from the controller itself. You can go inmenuin flow controller device and look foraddressin there somewhere. You need different address for different mfc connected with same USB camble to the PC.mfc1=ddr_mfc.mfc(port='COM6',address='A',name='mfc_air')By giving the name to the MFC, you can distinguish among the MFC data. Thereadfunction of the mfc usednameas a suffix to the variable.mfc1.read()This will read the data from the MFC.mfc1.set_SLPM(slpm=30)This will set the SLPM to 30. Sometimes serial communication gives error. These functions usestry-exceptof python to navigate through error of serial comunication.ddr_mfc.mfcclass is inherited fromalicat.FlowControllerclass. Hence the functionalities and documentation onALICAT PACKAGEwill help guide futher.
Package: ddr-python
########## Instructions for updating DDR infrastructure files #################Make changes in ddr infrastructure filescd ~/ddr-home/ddr-clips/ddr-packaging/
edit setup.py for new ddr-clips version number
rm -rf dist
python3 -m build
cp ~/ddr-home/ddr-clips/ddr-packaging/dist/ddr_clips-x.y.z-py3-none-any.whl ddr-home/ddr-clips/infra/xe/infra-filescd ~/ddr-home/ddr-python/ddr-packaging/
edit setup.py for new ddr-python version number
rm -rf dist
python3 -m build
cp ~/ddr-home/ddr-python/ddr-packaging/dist/ddr_python-x.y.z-py3-none-any.whl ddr-home/ddr-python/infra/xe/infra-filesMake changes in DDR automation to use the updated ddr-clips and ddr-python packagesCopy new ddr-clips and ddr-python .whl filesrm ~/ddr-home/ddr-lm/files/xe/infra-files/ddr_*
cp ~/ddr-home/ddr-clips/ddr-packaging/dist/ddr_clips-x.y.z-py3-none-any.whl ~/ddr-home/ddr-lm/files/xe/infra-files
cp ~/ddr-home/ddr-python/ddr-packaging/dist/ddr_python-x.y.z-py3-none-any.whl ~/ddr-home/ddr-lm/files/xe/infra-filesEdit pipfiles.sh to include new ddr-clips and ddr-python .whl names~/ddr-home/ddr-lm/files/xe/infra-files/pipfiles.shPush changes to ddr-clips repository
Push changes to ddr-python repository
Push changes to ddr-pyats repositoryMake changes in ddr-clips and ddr-python usecasesCopy selected usecases that will be used with ddr-pyatscp ~/ddr-home/ddr-clips/usecases/xe/USECASE_Directory ~/ddr-home/ddr-pyats/usecases/xe
cp ~/ddr-home/ddr-python/usecases/xe/USECASE.py ~/ddr-home/ddr-pyats/usecases/xeupdate DDR repositoriesgit add and git commit changes to repositories and push~/ddr-home/ddr-clips  git push
~/ddr-home/ddr-python git push
~/ddr-home/ddr-pyats  git pushupdate ADS machine DDR repositoriesAssumes that all repositories are stored on ADS in /nobackup/USERNAME/ddr-home.../nobackup/USERNAME/ddr-home/ddr-clips  git pull
/nobackup/USERNAME/ddr-home/ddr-python git pull
/nobackup/USERNAME/ddr-home/ddr-pyats  git pull
Package: ddsapi
DDSAPI-ClientPython Client to access and download data fromCMCC Data Delivery System (DDS)RequirementsPython 3.7, Python 3.8InstallationConda Installation$condainstall-cfondazione-cmccddsapiPip installation$pipinstallddsapiConfigurationTo use the tool a file$HOME/.ddsapircmust be created as followingurl:https://ddshub.cmcc.it/api/v2
key:<api-key>
Package: dds-cli
Data Delivery System: CLIA command line tool `dds` to manage projects and data in the SciLifeLab Data Delivery System.LinksAboutThe Data Delivery System (DDS) is a cloud-based system for all SciLifeLab platforms where data generated throughout each project can be delivered to the research groups in a fast, secure and simple way. The CLI makes requests to the API (see badge below for link) in order to use the API functionality.The Data Delivery System is developed and maintained by the SciLifeLab Data Centre. National Genomics Infrastructure (NGI) Stockholm has been a part of the development team during 2021 and early 2022.Table of contentsInstallationOverview of commandsInstallationPython Package IndexThedds-clipackage can be installed fromPyPIusing pip as follows:pipinstall--upgradedds-cliAfter installing, rundds(ordds --help) and verify that the output looks like this:ExecutablesExecutables are available for Windows, MacOS and Linux. These allow you to run the CLI without needing to install it (and the pip / Python requirements) yourself. Download them from the (bottom of the) latest release page:Latest ReleaseDevelopment versionIf you would like the latest development version of tools, the command is:pipinstall--upgrade--force-reinstallgit+https://github.com/ScilifelabDataCentre/dds_cli.git@devIf you intend to make edits to the code, first make a fork of the repository and then clone it locally.
Go to the cloned directory and install with pip (also installs development requirements):pipinstall--upgrade-rrequirements-dev.txt-e.
Package: dd-selenium
Providing drag and drop functionality in selenium pythonThis is a basic package which provides functionality of drag and drop in python using javascript. It is compatible with youtube, instagram and most of other websites which require drag and drop for pasting/uploading a file.How to use?To use this package you need to first install it using pip, type:pip install dd-seleniumAfter it's done navigate back to your program and type:import dd_seleniumNow for drag and drop you need to use a function from the package, type:dd_selenium.dds(drop_target, path)Replace 'drop_target' with the div you want to drag and drop in and replace 'path' with the file path on your pc.Example:import dd_selenium

path = driver.findElement(By.PATH(""));

dd_selenium.dds(path, "C:/abc.file")Thanks for checking out. Suggest changes atdoneatease@gmail.com
Package: ddshape
<pre>IntroductionThis is a package which include some modules that you can use them to create shape.dat used by ddscat.You can use them to create hollow sphere, break hollow sphere and triangle plate.Modification2015.05.20Add module bshell to make breakshell2015.05.20remove bug of bshell2015.05.20remove bug of bshell2015.06.01some modify of __init__.py2015.06.05(version:0.37)revise of asphere and bsphere and rename as break_shell and intersect_shell. remove some abundant function2015.06.09(version:0.38)add some function into inc.py to support automatic create</pre>
Package: ddsl-lambda-wg
DDSL Lambda Workload GeneratorThis is a workload generator designed especifically to perform load
testing for several applications. The internal use case of this workload
generator is for load testing AWS Lambda functions, but it can be used
for other purposes. All you have to do is give it aworkerfunction
and the number of requests per second you want to achieve on average and
it will do the rest for you.UsageCheck out the example.InstallationInstall using pip:$pipinstallddsl-lambda-wgUpgrading:pipinstallddsl-lambda-wg--upgrade
Package: ddsl-wg
DDSL Workload GeneratorThis is a workload generator designed especifically to perform load
testing for several applications. The internal use case of this workload
generator is for load testing AWS Lambda functions, but it can be used
for other purposes. All you have to do is give it aworkerfunction
and the number of requests per second you want to achieve on average and
it will do the rest for you.Pypi:https://pypi.org/project/ddsl-wg/UsageCheck out the example.InstallationInstall using pip:$pipinstallddsl-wgUpgrading:pipinstallddsl-wg--upgrade
Package: ddSMT
ddSMT: Delta Debugging for SMT-LIBv2ddSMTis a delta debugger for input in theSMT-LIBlanguage and its dialects and extensions.
It serves as aninput minimizerfor SMT-LIB(-like) input that triggers
interesting behavior for a given command.
Noteworthy examples for supported extensions of the SMT-LIB language are
theSyGuSinput format and the extension for
encodingseparation logicproblems.
For more details on the SMT-LIB language, seehttp://www.smtlib.org.ddSMTis implemented in Python 3 and developed on a Linux OS.ddSMTis free software released under the GPLv3.
You should have received a copy of the GNU General Public License along withddSMT(see fileLICENSE).
If not, seehttp://www.gnu.org/licenses/.RequirementsPythonversion 3.6 or laterprogressbarBibtexFor citingddSMT, please use the following BibTex entry:@inproceedings{DBLP:conf/cav/KremerNP20,
  author    = {Gereon Kremer and
               Aina Niemetz and
               Mathias Preiner},
  editor    = {Alexandra Silva and
               K. Rustan M. Leino},
  title     = {ddSMT 2.0: Better Delta Debugging for the SMT-LIBv2 Language and Friends},
  booktitle = {Computer Aided Verification - 33rd International Conference, {CAV}
               2021, Virtual Event, July 20-23, 2021, Proceedings, Part {II}},
  series    = {Lecture Notes in Computer Science},
  volume    = {12760},
  pages     = {231--242},
  publisher = {Springer},
  year      = {2021},
  url       = {https://doi.org/10.1007/978-3-030-81688-9\_11},
  doi       = {10.1007/978-3-030-81688-9\_11},
  timestamp = {Thu, 29 Jul 2021 13:41:58 +0200},
  biburl    = {https://dblp.org/rec/conf/cav/KremerNP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}PublicationsGereon Kremer, Aina Niemetz, Mathias Preiner.ddSMT 2.0: Better Delta Debugging for the SMT-LIBv2 Language and Friends.
CAV: 231-242. (2021)Aina Niemetz, Armin Biere.ddSMT: A Delta Debugger for the SMT-LIB v2 Format. SMT 2013.
(2013)DocumentationDocumentation forddSMTis available athttps://ddsmt.readthedocs.io.
Package: dds-py
dds_py - Data driven softwareData-driven software (python implementation)IntroductionThe DDS package solves the synchronization problem between code and data. It
allows programmers, scientists and data scientists to integrate code with data
and data with code without fear of stale data, disparate storage frameworks or
concurrency issues. DDS allows quick collaboration and data software reuse
without the complexity. In short, you do not have to think about changes in your
data pipelines.How to useThis package is published on PyPI:pip install dds_pyThis package is known to work on python 3.8, 3.9, 3.10, 3.11. No other versions
are officially supported. Python 3.4 and 3.5 might work but they are not
supported.Plotting dependenciesIf you want to plot the graph of data dependencies,
you must install separately thepydotpluspackage, which requiresgraphvizon your system to work properly. Consult the documentation of thepydotpluspackage for more details. Thepydotpluspackage is only required with thedds_export_graphoption.Databricks users:If you want to use this package with Databricks, some
specific hooks for Spark are available. See this notebook for a complete
example:https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/7816249071411394/4492656151009213/5450662050199348/latest.htmlDocumentationAPI reference, tutorials and FAQs are located here:https://tjhunter.github.io/dds_py/ExampleHere is the Hello world example (using type annotations for clarity)importddsimportrequests@dds.data_function("/hello_data")defdata()->str:url="https://gist.githubusercontent.com/bigsnarfdude/515849391ad37fe593997fe0db98afaa/raw/f663366d17b7d05de61a145bbce7b2b961b3b07f/weather.csv"returnrequests.get(url=url,verify=False).content.decode("utf-8")data()This example does the following:it defines a source of data, here a piece of weather data from the internet.
This source is defined as the functiondata_creatorit assigns the data produced by this source into a variable (data) and also
to a path in a storage system (/hello_data)The DDS library guarantees the following after evaluation of the code:the path/hello_datacontains a copy of the data returned bydata_creator, as if the functiondata_creatorhad been called at this
momentthe functiondata_creatoris only evaluated when its inputs, or its code,
are modified (referential transparency)LicenseTheddspackage is published under the Affero General Public License.
Package: ddstable
IntroductionA DDS (double-dummy solver) function is available throughBo Haglund's DDS 2.9.0. For Windows, the DDS DLL is distributed with  are distributed together.The solution used here is copied from below two opensource project, credit to themhttps://github.com/Afwas/python-ddshttps://github.com/anntzer/redealthis project focus on DDS table only like below$ ./ddstable.py
          S     H     D     C    NT
    N     -     4     2     -     3
    S     -     4     2     -     3
    E     3     -     -     -     -
    W     3     -     -     -     -How to use itfrom ddstable import ddstable
PBN = b"E:QJT5432.T.6.QJ82 .J97543.K7532.94 87.A62.QJT4.AT75 AK96.KQ8.A98.K63"
all = ddstable.get_ddstable(PBN)
print("{:>5} {:>5} {:>5} {:>5} {:>5} {:>5}".format("", "S", "H", "D", "C", "NT"))
# may use  card_suit=["C", "D", "H", "S", "NT"]
for each in all.keys():
    print("{:>5}".format(each),end='')
    for suit in ddstable.dcardSuit:
        trick=all[each][suit]
        if trick>7:
            print(" {:5}".format(trick - 6),end='')
        else:
            print(" {:>5}".format("-"),end='')
    print("")or>>> from ddstable import ddstable
>>> PBN = b"E:QJT5432.T.6.QJ82 .J97543.K7532.94 87.A62.QJT4.AT75 AK96.KQ8.A98.K63"
>>> ddstable.get_ddstable(PBN)
{'N': {'S': 4, 'H': 10, 'D': 8, 'C': 6, 'NT': 9}, 'S': {'S': 4, 'H': 10, 'D': 8, 'C': 6, 'NT': 9}, 'E': {'S': 9, 'H': 2, 'D': 3, 'C': 7, 'NT': 3}, 'W': {'S': 9, 'H': 2, 'D': 3, 'C': 7, 'NT': 3}}Referencehttps://github.com/Afwas/python-ddshttps://github.com/anntzer/redeal
Package: ddt-api-calls
1Welcome to ddt-api-calls’s documentation!Version:0.3.2Source:https://github.com/maykinmedia/ddt-api-callsKeywords:django, debug, debug_toolbar, requests, apiPythonVersion:3.8A Django Debug Toolbar pannel to track calls made with requests libraryContents1Welcome to ddt-api-calls’s documentation!2Features3Installation3.1Requirements3.2Install4Usage2FeaturesTrack (API) calls made with the requests libraryDisplay individual request method, path and durationDisplay total number of calls and total duration start-end3Installation3.1RequirementsPython 3.6 or abovesetuptools 30.3.2 or aboveDjango 2.2 or newer3.2Installpipinstallddt-api-callsAddddt_api_callstoINSTALLED_APPS.Addddt_api_calls.panels.APICallsPanelto theDEBUG_TOOLBAR_PANELSsetting.4UsageMake your usual requests and see the data in the panels :-)
Package: ddtcurve
ddtcurve一个用于计算弹弹堂游戏力度的软件包。A package used to calculate the strength of the ddtank game.Contact the author:jugking6688@gmail.com欢迎提供高质量的原始数据快速开始1.传统方式计算力度本方法是在https://www.52pojie.cn/thread-1132459-1-1.html基础上的改良。importddtcurveasddtcresult=ddtc.predict(65,0,10,0)print(result)result=ddtc.predict(65,1,10,0)print(result)result=ddtc.predict(65,0,10,1)print(result)Output:56.984355730170684
54.693446341504185
58.147775493251822.深度学习推理力度方法详见https://www.52pojie.cn/thread-1889310-1-1.htmlimportddtcurveasddtcresult=ddtc.inference(65,0,10,0)print(result)result=ddtc.inference(65,1,10,0)print(result)result=ddtc.inference(65,0,10,1)print(result)Output:57.528175
53.786335
59.91937Remarks:There are many authors who have contributed to this package. :)
Package: ddt-envelope
ddt-envelopeSimple solution to use django-debug-toolbar with non HTML views. Helps
in inspecting/profiling endpoints that do not return HTML responses
(like JSON endpoint).It is tested on latest point releases of:django1.4,django1.5,django1.6,django1.7,django1.8and each python version that
is supported by given django releases accordingly (ie.python2.6,python2.7,python3.2,python3.3,python3.4).InstalationInstall with pip:pip install ddt-envelopeAddddt-envelopeto yourINSTALLED_APPS:ifDEBUGisTrue:INSTALLED_APPS+=('ddt_envelope',)Addddt_envelopeat the end of yoururls.pyfromdjango.confimportsettingsif'ddt_envelope'insettings.INSTALLED_APPS:urlpatterns+=patterns('',# note: you can use any prefix other than '__ddte__' but make#       sure it does not conflict with other url patternsurl(r'^__ddte__/',include('ddt_envelope.urls')),)UsageOnce installed and configured just insert__ddte__or your custom
prefix after hostname in browser of choice to inspect non-html views
like:http://example.com/__ddte__/maybe/json/Customizing outputYou can customizeddt_enveloperesponses either by providing custom
template name forddt_envelope.views.EnvelopeViewor by overridingddte/envelope.htmltemplate. Context variables passed to this
templeta are:path- “real” path of inspected viewresponse- response object returned by target inspected viewheaders- dictionary of headers available in response returned by
target inspected viewcontent- string with raw response content (JSON it will be
reformated usingjson.dumps(...,indent=4))
Package: ddtrace
ddtraceThis library powersDistributed Tracing,Continuous Profiling,Error Tracking,Continuous Integration Visibility,Deployment Tracking,Code Hotspots,Dynamic Instrumentation,
and more.To get started with tracing, check out theproduct documentationor theglossary.For advanced usage and configuration information, check out thelibrary documentation.To get started as a contributor, seethe contributing docsfirst.