Saravanan666/pypi-org huggingface dataset:
Package: pythondata-cpu-rocket
pythondata-cpu-rocketNon-Python  files needed for the cpu rocket packaged
into a Python module so they can be used with Python libraries and tools.This is useful for usage with tools likeLiteX.The data files can be found under the Python modulepythondata_cpu_rocket. Thepythondata_cpu_rocket.data_locationvalue can be used to find the files on the file
system.Example of getting the data file directly;importpythondata_cpu_rocketmy_data_file="abc.txt"withopen(os.path.join(pythondata_cpu_rocket.data_location,my_data_file))asf:print(f.read())Example of getting the data file usinglitex.data.findAPI;frompythondata_cpu_rocketimportdata_filemy_data_file="abc.txt"withopen(data_file(my_data_file))asf:print(f.read())The data files are generated fromhttps://github.com/chipsalliance/rocket-chip.gitand place in the directorypythondata_cpu_rocket/verilog.InstallingDirectly from git repositoryManuallyYou can install the package manually, however this isnotrecommended.git clone https://github.com/litex-hub/pythondata-cpu-rocket.git
cd pythondata-cpu-rocket
sudo python setup.py installUsingpipwith git repositoryYou can usepipto install the data package directly
from github using;pip install --user git+https://github.com/litex-hub/pythondata-cpu-rocket.gitIf you want to install for the whole system rather than just the current user,
you need to remove the--userargument and run as sudo like so;sudo pip install git+https://github.com/litex-hub/pythondata-cpu-rocket.gitYou can install a specific revision of the repository using;pip install --user git+https://github.com/litex-hub/pythondata-cpu-rocket.git@<tag>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-rocket.git@<branch>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-rocket.git@<hash>Withrequirements.txtfileAdd to your Pythonrequirements.txtfile using;-e git+https://github.com/litex-hub/pythondata-cpu-rocket.gitTo use a specific revision of the repository, use the following;-e https://github.com/litex-hub/pythondata-cpu-rocket.git@<hash>ViaPyPiUsingpippip install --user pythondata-cpu-rocketWithrequirements.txtfileAdd to your Pythonrequirements.txtfile using;pythondata-cpu-rocketIssues and FixesThis package is autogenerated from the sources inhttps://github.com/chipsalliance/rocket-chip.gitusing thepythondata-autotoolset. Pull requests and issues on this pythondata repo may not be monitored.
Package: pythondata-cpu-serv
pythondata-cpu-servNon-Python  files needed for the cpu serv packaged
into a Python module so they can be used with Python libraries and tools.This is useful for usage with tools likeLiteX.The data files can be found under the Python modulepythondata_cpu_serv. Thepythondata_cpu_serv.data_locationvalue can be used to find the files on the file
system.Example of getting the data file directly;importpythondata_cpu_servmy_data_file="abc.txt"withopen(os.path.join(pythondata_cpu_serv.data_location,my_data_file))asf:print(f.read())Example of getting the data file usinglitex.data.findAPI;frompythondata_cpu_servimportdata_filemy_data_file="abc.txt"withopen(data_file(my_data_file))asf:print(f.read())The data files come fromhttps://github.com/olofk/servand are imported usinggit subtreesto the directorypythondata_cpu_serv/verilog.InstallingDirectly from git repositoryManuallyYou can install the package manually, however this isnotrecommended.git clone https://github.com/litex-hub/pythondata-cpu-serv.git
cd pythondata-cpu-serv
sudo python setup.py installUsingpipwith git repositoryYou can usepipto install the data package directly
from github using;pip install --user git+https://github.com/litex-hub/pythondata-cpu-serv.gitIf you want to install for the whole system rather than just the current user,
you need to remove the--userargument and run as sudo like so;sudo pip install git+https://github.com/litex-hub/pythondata-cpu-serv.gitYou can install a specific revision of the repository using;pip install --user git+https://github.com/litex-hub/pythondata-cpu-serv.git@<tag>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-serv.git@<branch>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-serv.git@<hash>Withrequirements.txtfileAdd to your Pythonrequirements.txtfile using;-e git+https://github.com/litex-hub/pythondata-cpu-serv.gitTo use a specific revision of the repository, use the following;-e https://github.com/litex-hub/pythondata-cpu-serv.git@<hash>ViaPyPiUsingpippip install --user pythondata-cpu-servWithrequirements.txtfileAdd to your Pythonrequirements.txtfile using;pythondata-cpu-servIssues and FixesThis package is autogenerated from the sources inhttps://github.com/olofk/servusing thepythondata-autotoolset. Pull requests and issues on this pythondata repo may not be monitored.
Package: pythondata-cpu-vexriscv
pythondata-cpu-vexriscvNon-Python  files needed for the cpu vexriscv packaged
into a Python module so they can be used with Python libraries and tools.This is useful for usage with tools likeLiteX.The data files can be found under the Python modulepythondata_cpu_vexriscv. Thepythondata_cpu_vexriscv.data_locationvalue can be used to find the files on the file
system.Example of getting the data file directly;importpythondata_cpu_vexriscvmy_data_file="abc.txt"withopen(os.path.join(pythondata_cpu_vexriscv.data_location,my_data_file))asf:print(f.read())Example of getting the data file usinglitex.data.findAPI;frompythondata_cpu_vexriscvimportdata_filemy_data_file="abc.txt"withopen(data_file(my_data_file))asf:print(f.read())The data files are generated fromhttps://github.com/SpinalHDL/VexRISCV.gitand place in the directorypythondata_cpu_vexriscv/verilog.InstallingDirectly from git repositoryManuallyYou can install the package manually, however this isnotrecommended.git clone https://github.com/litex-hub/pythondata-cpu-vexriscv.git
cd pythondata-cpu-vexriscv
sudo python setup.py installUsingpipwith git repositoryYou can usepipto install the data package directly
from github using;pip install --user git+https://github.com/litex-hub/pythondata-cpu-vexriscv.gitIf you want to install for the whole system rather than just the current user,
you need to remove the--userargument and run as sudo like so;sudo pip install git+https://github.com/litex-hub/pythondata-cpu-vexriscv.gitYou can install a specific revision of the repository using;pip install --user git+https://github.com/litex-hub/pythondata-cpu-vexriscv.git@<tag>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-vexriscv.git@<branch>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-vexriscv.git@<hash>Withrequirements.txtfileAdd to your Pythonrequirements.txtfile using;-e git+https://github.com/litex-hub/pythondata-cpu-vexriscv.gitTo use a specific revision of the repository, use the following;-e https://github.com/litex-hub/pythondata-cpu-vexriscv.git@<hash>ViaPyPiUsingpippip install --user pythondata-cpu-vexriscvWithrequirements.txtfileAdd to your Pythonrequirements.txtfile using;pythondata-cpu-vexriscvIssues and FixesThis package is autogenerated from the sources inhttps://github.com/SpinalHDL/VexRISCV.gitusing thepythondata-autotoolset. Pull requests and issues on this pythondata repo may not be monitored.
Package: pythondata-misc-opentitan
pythondata-misc-opentitanNon-Python  files needed for the misc opentitan packaged
into a Python module so they can be used with Python libraries and tools.This is useful for usage with tools likeLiteX.The data files can be found under the Python modulepythondata_misc_opentitan. Thepythondata_misc_opentitan.data_locationvalue can be used to find the files on the file
system.Example of getting the data file directly;importpythondata_misc_opentitanmy_data_file="abc.txt"withopen(os.path.join(pythondata_misc_opentitan.data_location,my_data_file))asf:print(f.read())Example of getting the data file usinglitex.data.findAPI;frompythondata_misc_opentitanimportdata_filemy_data_file="abc.txt"withopen(data_file(my_data_file))asf:print(f.read())The data files come fromhttps://github.com/lowRISC/opentitanand are imported usinggit subtreesto the directorypythondata_misc_opentitan/resources.Installing from git repositoryManuallyYou can install the package manually, however this isnotrecommended.git clone https://github.com/litex-hub/pythondata-misc-opentitan.git
cd pythondata-misc-opentitan
sudo python setup.py installUsingpipwith git repositoryYou can usepipto install the data package directly
from github using;pip install --user git+https://github.com/litex-hub/pythondata-misc-opentitan.gitIf you want to install for the whole system rather than just the current user,
you need to remove the--userargument and run as sudo like so;sudo pip install git+https://github.com/litex-hub/pythondata-misc-opentitan.gitYou can install a specific revision of the repository using;pip install --user git+https://github.com/litex-hub/pythondata-misc-opentitan.git@<tag>
pip install --user git+https://github.com/litex-hub/pythondata-misc-opentitan.git@<branch>
pip install --user git+https://github.com/litex-hub/pythondata-misc-opentitan.git@<hash>Withrequirements.txtfileAdd to your Pythonrequirements.txtfile using;-e git+https://github.com/litex-hub/pythondata-misc-opentitan.gitTo use a specific revision of the repository, use the following;-e https://github.com/litex-hub/pythondata-misc-opentitan.git@<hash>Installing fromPyPiUsingpippip install --user pythondata-misc-opentitan
Package: pythondata-misc-tapcfg
pythondata-misc-tapcfgNon-Python  files needed for the misc tapcfg packaged
into a Python module so they can be used with Python libraries and tools.This is useful for usage with tools likeLiteX.The data files can be found under the Python modulepythondata_misc_tapcfg. Thepythondata_misc_tapcfg.data_locationvalue can be used to find the files on the file
system.Example of getting the data file directly;importpythondata_misc_tapcfgmy_data_file="abc.txt"withopen(os.path.join(pythondata_misc_tapcfg.data_location,my_data_file))asf:print(f.read())Example of getting the data file usinglitex.data.findAPI;frompythondata_misc_tapcfgimportdata_filemy_data_file="abc.txt"withopen(data_file(my_data_file))asf:print(f.read())The data files come fromhttps://github.com/enjoy-digital/tapcfgand are imported usinggit subtreesto the directorypythondata_misc_tapcfg/data.InstallingDirectly from git repositoryManuallyYou can install the package manually, however this isnotrecommended.git clone https://github.com/litex-hub/pythondata-misc-tapcfg.git
cd pythondata-misc-tapcfg
sudo python setup.py installUsingpipwith git repositoryYou can usepipto install the data package directly
from github using;pip install --user git+https://github.com/litex-hub/pythondata-misc-tapcfg.gitIf you want to install for the whole system rather than just the current user,
you need to remove the--userargument and run as sudo like so;sudo pip install git+https://github.com/litex-hub/pythondata-misc-tapcfg.gitYou can install a specific revision of the repository using;pip install --user git+https://github.com/litex-hub/pythondata-misc-tapcfg.git@<tag>
pip install --user git+https://github.com/litex-hub/pythondata-misc-tapcfg.git@<branch>
pip install --user git+https://github.com/litex-hub/pythondata-misc-tapcfg.git@<hash>Withrequirements.txtfileAdd to your Pythonrequirements.txtfile using;-e git+https://github.com/litex-hub/pythondata-misc-tapcfg.gitTo use a specific revision of the repository, use the following;-e https://github.com/litex-hub/pythondata-misc-tapcfg.git@<hash>ViaPyPiUsingpippip install --user pythondata-misc-tapcfgWithrequirements.txtfileAdd to your Pythonrequirements.txtfile using;pythondata-misc-tapcfgIssues and FixesThis package is autogenerated from the sources inhttps://github.com/enjoy-digital/tapcfgusing thepythondata-autotoolset. Pull requests and issues on this pythondata repo may not be monitored.
Package: python-datamuse
python-datamusePython wrapper and scripts for theDatamuse API.
Available on PyPI athttps://pypi.python.org/pypi/python-datamuse. You can
install this library withpip3 install python-datamuse.ChangelogVersion 2.0.* (2022-10-22)require Python 3.7add @margaret to authorsupgrade trove classifier "Development Status" from "3 - Alpha" to "5 - Production/Stable"specify all dependency version requirementsrename default branchmainbuild tool changes, seehttps://github.com/gmarmstrong/python-datamuse/releases/tag/v2.0.0(2.0.1) (2022-12-29):fix CI workflowsVersion 1.3.* (2019-09-20)Add optional arguments tosuggestmethodDocument and test suggestion method(1.3.1):Update README example(1.3.1):Remove WORD_PARAMS(1.3.1):Documentwordsmethod(1.3.2) (2022-04-04):Fix test_set_max bugVersion 1.2.* (2018-10-23)Raise Python version to 3.6Mock the Datamuse API for testsRestructure project filesSet README as PyPI long description(1.2.1):Fix README formatting on PyPIVersion 1.1.0 (2018-02-18)Changed to Python 3Uploaded to PyPI, added instructions for PyPI installationChanged README example to reflect PyPI packagingSet up Travis CITemporarily removed pandasChanged mode of scripts to executableExample>>> from datamuse import Datamuse
>>> api = Datamuse()
>>> api.words(rel_rhy='ninth', max=5)  # words that rhyme with "ninth"
[]
>>> api.words(rel_rhy='orange', max=5)  # words that rhyme with "orange"
[{'word': 'door hinge', 'score': 74, 'numSyllables': 2}]
>>> api.words(rel_jja='yellow', max=5)  # things often described as "yellow"
[{'word': 'fever', 'score': 1001}, {'word': 'color', 'score': 1000}, {'word': 'flowers', 'score': 999}, {'word': 'light', 'score': 998}, {'word': 'colour', 'score': 997}]
>>> api.suggest(s='foo', max_results=10)  # completion suggestions for "foo"
[{'word': 'food', 'score': 3888}, {'word': 'foot', 'score': 3041}, {'word': 'fool', 'score': 1836}, {'word': 'football', 'score': 1424}, {'word': 'footage', 'score': 1328}, {'word': 'footprint', 'score': 1082}, {'word': 'foolish', 'score': 967}, {'word': 'foof', 'score': 930}, {'word': 'footing', 'score': 786}, {'word': 'foolproof', 'score': 697}]Note that the default number of results is set to 100. You can set the defaultmaxto something else using theset_max_defaultmethod, e.g.api.set_max_default(300). Datamuse only returns 1000 results max.
Package: python-data-reducer
Info:DataReducer is an python tool for easily handling data.Repository:https://github.com/shinrel22/data_reducerAuthor:Tri Nguyen (https://github.com/shinrel22)Maintainer:Tri Nguyen (https://github.com/shinrel22)Installationpipenv installpython-data-reducerExamplesSome simple examples of what DataReducer can do:fromdata_reducerimportDataReducer>>>origin_data={'id':'1','avatar':{'creator':{'birthday':{'day':22,'month':1,'year':1993},'email':'example@gmail.com','id':'1','name':'example'},'deleted':False,'id':'1','path':'abc','types':['a','b','c'],'url':'url'},'translations':[{'content':'1','id':'1','locale':'vi','name':'A'},{'content':'2','id':'2','locale':'en','name':'B'}]}>>>only_fields=['id','translations.id','translations.locale','translations.name','translations.types','avatar.url','avatar.id','avatar.creator.id','avatar.creator.birthday.year',]>>>DataReducer(data=origin_data,include_fields=only_fields).run(){'id':'1','translations':[{'id':'1','locale':'vi','name':'A'},{'id':'2','locale':'en','name':'B'}],'avatar':{'url':'url','id':'1','creator':{'id':'1','birthday':{'year':1993}}}}
Package: pythondata-software-compiler-rt
pythondata-software-compiler_rtNon-Python  files needed for the software compiler_rt packaged
into a Python module so they can be used with Python libraries and tools.This is useful for usage with tools likeLiteX.The data files can be found under the Python modulepythondata_software_compiler_rt. Thepythondata_software_compiler_rt.data_locationvalue can be used to find the files on the file
system.Example of getting the data file directly;importpythondata_software_compiler_rtmy_data_file="abc.txt"withopen(os.path.join(pythondata_software_compiler_rt.data_location,my_data_file))asf:print(f.read())Example of getting the data file usinglitex.data.findAPI;frompythondata_software_compiler_rtimportdata_filemy_data_file="abc.txt"withopen(data_file(my_data_file))asf:print(f.read())The data files come fromhttps://git.llvm.org/git/compiler-rt.git/and are imported usinggit subtreesto the directorypythondata_software_compiler_rt/data.Installing from git repositoryManuallyYou can install the package manually, however this isnotrecommended.git clone https://github.com/litex-hub/pythondata-software-compiler_rt.git
cd pythondata-software-compiler_rt
sudo python setup.py installUsingpipwith git repositoryYou can usepipto install the data package directly
from github using;pip install --user git+https://github.com/litex-hub/pythondata-software-compiler_rt.gitIf you want to install for the whole system rather than just the current user,
you need to remove the--userargument and run as sudo like so;sudo pip install git+https://github.com/litex-hub/pythondata-software-compiler_rt.gitYou can install a specific revision of the repository using;pip install --user git+https://github.com/litex-hub/pythondata-software-compiler_rt.git@<tag>
pip install --user git+https://github.com/litex-hub/pythondata-software-compiler_rt.git@<branch>
pip install --user git+https://github.com/litex-hub/pythondata-software-compiler_rt.git@<hash>Withrequirements.txtfileAdd to your Pythonrequirements.txtfile using;-e git+https://github.com/litex-hub/pythondata-software-compiler_rt.gitTo use a specific revision of the repository, use the following;-e https://github.com/litex-hub/pythondata-software-compiler_rt.git@<hash>Installing fromPyPiUsingpippip install --user pythondata-software-compiler_rt
Package: pythondata-software-picolibc
pythondata-software-picolibcNon-Python  files needed for the software picolibc packaged
into a Python module so they can be used with Python libraries and tools.This is useful for usage with tools likeLiteX.The data files can be found under the Python modulepythondata_software_picolibc. Thepythondata_software_picolibc.data_locationvalue can be used to find the files on the file
system.Example of getting the data file directly;importpythondata_software_picolibcmy_data_file="abc.txt"withopen(os.path.join(pythondata_software_picolibc.data_location,my_data_file))asf:print(f.read())Example of getting the data file usinglitex.data.findAPI;frompythondata_software_picolibcimportdata_filemy_data_file="abc.txt"withopen(data_file(my_data_file))asf:print(f.read())The data files come fromhttps://github.com/picolibc/picolibcand are imported usinggit subtreesto the directorypythondata_software_picolibc/data.InstallingDirectly from git repositoryManuallyYou can install the package manually, however this isnotrecommended.git clone https://github.com/litex-hub/pythondata-software-picolibc.git
cd pythondata-software-picolibc
sudo python setup.py installUsingpipwith git repositoryYou can usepipto install the data package directly
from github using;pip install --user git+https://github.com/litex-hub/pythondata-software-picolibc.gitIf you want to install for the whole system rather than just the current user,
you need to remove the--userargument and run as sudo like so;sudo pip install git+https://github.com/litex-hub/pythondata-software-picolibc.gitYou can install a specific revision of the repository using;pip install --user git+https://github.com/litex-hub/pythondata-software-picolibc.git@<tag>
pip install --user git+https://github.com/litex-hub/pythondata-software-picolibc.git@<branch>
pip install --user git+https://github.com/litex-hub/pythondata-software-picolibc.git@<hash>Withrequirements.txtfileAdd to your Pythonrequirements.txtfile using;-e git+https://github.com/litex-hub/pythondata-software-picolibc.gitTo use a specific revision of the repository, use the following;-e https://github.com/litex-hub/pythondata-software-picolibc.git@<hash>ViaPyPiUsingpippip install --user pythondata-software-picolibcWithrequirements.txtfileAdd to your Pythonrequirements.txtfile using;pythondata-software-picolibcIssues and FixesThis package is autogenerated from the sources inhttps://github.com/picolibc/picolibcusing thepythondata-autotoolset. Pull requests and issues on this pythondata repo may not be monitored.
Package: python-datastream
datastreamRead and write binary files by integer, floats, strings with fixed size.Installingpipinstallpython-datastreamUsageReading:fromdatastreamimportDataInputStreamwithopen("test.bin","rb")asf:ds=DataInputStream(f)print(ds.read_int())print(ds.read_strz())Writing:fromdatastreamimportDataOutputStreamwithopen("test.bin","wb")asf:ds=DataOutputStream(f)ds.write_int(42)ds.write_strz("Hello world")LicenseMIT License. See LICENSE file.
Package: python-datastructures
Python-Datastructures is a Python library containing implementations of various data structures written purely in Python. Useful when preparing for interviews or building school projects. Allow the user to focus on developing your algorithms and not worry about finding python implementations of classic data structures.InstallationUse the package managerpipto install python-datastructures.pipinstallpython-datastructuresUsageSample usage of the library. Import any datastructure from the list of supported datastructures.StackQueueDeQueueSinglyLinkedListDoublyLinkedListCircularListMaxHeapMinHeapTriefrompython_datastructuresimportMinHeaparr=[2,3,18,29,7,82,1,9]heap=MinHeap(arr)print(heap.peek())# returns 1DocumentationExplore the Different data structures and methods associated with them.
Documentation below describes the various methods associated with each data structure as well as a short description on what it does.Read the docsDevelopmentTo set up dev environment and work on the package clone the repository then run.makesetupOther usefull development commands include:maketest//runtestsmakelint//codeformattingmakebuild//buildpackagelocalymakeinstall-build//installlocalpackagegloballymakeuninstall-build//uninstalllocalpackagegloabllyContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.Please make sure to update tests as appropriate.LicenseMIT