Saravanan666/pypi-org huggingface dataset:
Package: pyCommonClasses
pyCommonClassesA collection of common classes for PythonClassesVersionRepresentation of a version number.ContributorsPatrick Lehmann(Maintainer)and more...LicenseThis Python package (source code) licensed underApache License 2.0.The accompanying documentation is licensed underCreative Commons - Attribution 4.0 (CC-BY 4.0).SPDX-License-Identifier: Apache-2.0
Package: pycommoncrawl
PyCommonCrawlA python interface forCommon Crawl.INSTALLpip3 install pycommoncrawlUSAGEfrompycommoncrawl.common_crawl_data_accessorimportCommonCrawlDataAccessorcommon_crawl_data_accessor=CommonCrawlDataAccessor()# Iterate by lineforlineincommon_crawl_data_accessor.get_raw_resource_data("WAT"):print(line)# Iterate by WARC blocforwarcincommon_crawl_data_accessor.get_raw_resource_data_per_warc("WAT"):print(warc["Content-Length"])
Package: py-common-fetch
How to USEfrom aniachi.systemUtils import Welcome as W
W.printWelcome()Outoput+------------------------------------------+
Aniachi Technologies.
Computer:             greg@MBP-de-gregorio
Script:               -m
Api version:          1013
Path:                 /usr/local/opt/python/bin/python3.6
Installed Packages:   263
Native Compiler:      GCC 4.2.1 Compatible Apple LLVM 9.1.0 (clang-902.0.39.1)
Architecture:         i386
Kernel:               x86_64  Darwin Kernel version 17.5.0
CPU Info:             Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz
Screen resolution:    Not implemented yet....
Python Version:       3.6.5
Processors:           4
Terminal:             Terminal not found
User:                 greg
Current process:      7062
Code version:         beta
Total Memory:         16.00 GiB
Available Memory:     7.83 GiB
Free Memory:          7.50 GiB
Used Memory:          6.49 GiB
Active Memory:        3.27 GiB
Inactive Memory:      337.71 MiB
Wired Memory:         2.90 GiB
Current path:         /Users/greg/Downloads
Current date:         2018-05-11 09:16:12.382490
Elapsed time:         2.963524103164673
+------------------------------------------+
Package: pycommonregex
Common RegexA python package that provides commonly used regular expressions for validating various types of data.Installationpip install pycommonregexUsageimportrefrompycommonregeximport*print(is_int(5))# Trueprint(is_positive_int('5'))# Trueprint(is_decimal_num('5.5'))# Trueprint(is_num('-5.5'))# Trueprint(is_alpha_numeric('abc123'))# Trueprint(is_alpha_numeric_with_space('abc 123'))# Trueprint(is_email('email@example.com'))# Trueprint(is_good_password('Abc123#'))# Trueprint(is_username('abc_123'))# Trueprint(is_url('https://www.example.com'))# Trueprint(is_ipv4('127.0.0.1'))# Trueprint(is_ipv6('::1'))# TrueFunctions'is_int(num)': Check if the given input is an integer.'is_positive_int(s)': Check if the given input is a positive integer.'is_decimal_num(s)': Check if the given input is a decimal number.'is_num(s)': Check if the given input is a number (positive or negative).'is_alpha_numeric(s)': Check if the given input is alphanumeric (only contains letters and numbers).'is_alpha_numeric_with_space(s)': Check if the given input is alphanumeric (only contains letters, numbers, and spaces).'is_email(email)': Check if the given input is a valid email address.'is_good_password(password)': Check if the given input is a strong password (contains at least 1 uppercase letter, 1 lowercase letter, 1 number, and 1 special character, and is at least 8 characters long).'is_username(username)': Check if the given input is a valid username (contains only letters, numbers, and certain special characters, and is between 4 and 20 characters long).'is_url(url)': Check if the given input is a valid URL.'is_ipv4(IPv4)': Check if the given input is a valid IPv4 address.'is_ipv6(address)': Check if the given input is a valid IPv6 address.
Package: pycommons-base
pycommons-basePython Commons Base package that serves as the base package for all the otherVisit thedocumentationto view
the usage of each and every class and feature provided by this library.Get StartedTo get started with this library, you can install this in your virtual environment
by runningpipinstallpycommons-baseWithpoetry, you can run the following command to add the library to your
projectpoetryaddpycommons-baseLicenseApache-2.0 (SeeLicense)AuthorShashank Sharma.
Package: pycommons-collections
pycommons-collectionsPython Commons Collections package inspired
byApache Commons Collectionsavailable in Java.Visit thedocumentationto view
the usage of each and every class and feature provided by this library.Get StartedTo get started with this library, you can install this in your virtual environment
by runningpipinstallpycommons-collectionsWithpoetry, you can run the following command to add the library to your
projectpoetryaddpycommons-collectionsLicenseApache-2.0 (SeeLicense)AuthorShashank Sharma.
Package: pycommons-lang
pycommons-langPython Commons Lang package inspired byApache Commons Langavailable in Java. Along with the utilities, mirroring Apache Commons Lang, this
library also provides additional language features borrowed from Java that can be used in Python like
Streams, Consumer, Predicates, Optional etc.Visit thedocumentationto view
the usage of each and every class and feature provided by this library.Get StartedTo get started with this library, you can install this in your virtual environment
by runningpipinstallpycommons-langWithpoetry, you can run the following command to add the library to your
projectpoetryaddpycommons-langLicenseApache-2.0 (SeeLicense)AuthorShashank Sharma.
Package: pycommons-tests
pycommons-testspycommons-tests package provides common helper and utilities to write unittests in python.Visit thedocumentationto view
the usage of each and every class and feature provided by this library.Get StartedTo get started with this library, you can install this in your virtual environment
by runningpipinstallpycommons-testsWithpoetry, you can run the following command to add the library to your
projectpoetryaddpycommons-testsLicenseApache-2.0 (SeeLicense)AuthorShashank Sharma.
Package: py-common-util
py-common-utilpython common utilSpecifics代码遵循google python规范：https://github.com/google/styleguide/blob/gh-pages/pyguide.mddownloadpip install py-common-utilDependenciesdatetimeENV本地开发环境：pycharm + python3.6.1+Anaconda3+python3+pip3 + local cpu/gpu远程开发测试环境：pycharm + remote ssh + (远程python3.6.1+pip3+Anaconda3+gpu)
remote host url 如：sshuser@192.168.xx.xxremote python interpreter path: /home/user/anaconda3/bin/python3
本地pycharm设置环境变量：Run>Edit Configurations>Environment variables>PYTHONUNBUFFERED=1;PATH=/usr/local/cuda/bin:/home/user/anaconda3/bin:$PATH;LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib线上环境：待定相关链接如何将自己的Python代码打包发布到pypi上https://blog.csdn.net/wdxin1322/article/details/56685094发布你自己的轮子 - PyPI 打包上传实践https://juejin.im/entry/58c612e2128fe100603dfc9c上传到pypi的相关命令第二章 - 将你的扩展包在PyPI上发布http://www.wbh-doc.com.s3.amazonaws.com/Python-OpenSource-Project-Developer-Guide/Chapter2%20-%20PyPI.html升级__version__(参考common/version.py)查看打包文件清单MANIFEST.in是否包含应该包含的文件删除build,dist,py_common_util.egg-info目录（$python3 setup.py install (生成build,dist,egg-info目录)创建zip安装包打包 $ python3 setup.py sdist （生成dist,egg-info目录，并install到本机pythonx.x/site-packages/的类库中；也可以在IDEA的其它项目中依赖该项目模块而改动代码不必打包）或者创建全版本通用的wheel安装包安装twine $pip3 install twine**构建 $ python3 setup.py sdist
######or $ python3 setup.py sdist bdist_wheel --universalthen install to local: $ pip3 install -U ./dist/skydl-*-py2.py3-none-any.whl######$ twine check dist/
######注册包(可能不需要) $ twine register dist/py-common-util-0.0.41.tar.gz -r pypi
######打包并上传 $ python3 setup.py sdist upload -r pypi ）上传到pypi $ twine upload --skip-existing --verbose --repository pypi dist/*
可以访问公网查看：https://pypi.org/search/?q=py-common-util######（强制更新 $pip3 install --upgrade --no-deps --force-reinstall py-common-util --indexhttps://pypi.mirrors.ustc.edu.cn/simple/）$ pip3 search py-common-util===注意====如果$pip3 install -U py-common-util有缓存旧的版本，则可在一台没有缓存的机器去下载最新版本就可以更新pypi上的缓存install from tar.gz file: $pip3 install -U  py-common-util-0.0.42.tar.gz===========其它项目安装py-common-util依赖 $pip3 install -U py-common-util
或者$ easy_install py-common-util===========if CLion open this project reported Unknown Module Type Error, then fixed: Delete the ".idea/" in your project folder and then reopen your project using clion, you'll be glad to find everything works fine.使用 py-common-utilimport py_common_util
from py_common_util.common.date_utils import DateUtils
from py_common_util.tensorflow.tf_utils import TFUtils
print(DateUtils.now())
py_common_util.__versionconfig .pypirc and $chmod 600 ~/.pypirc[distutils]
index-servers=
pypi
testpypi
[pypi]
repository:https://upload.pypi.org/legacy/username: 
password: 
[testpypi]
repository:https://test.pypi.org/legacy/username: 
password:jarfilestanford-segmenter-3.9.1.jarhttps://nlp.stanford.edu/software/segmenter.shtml#Download1.进入到解压后的文件目录中，输入下面代码
./segment.sh pku test.simp.utf8 UTF-8 0feature list#####v0.0.44 增加now_to_str的时间格式输出方法
#####v0.0.43 增加ring buffer功能
#####v0.0.36 增加request的hooks_exception_callback功能
Package: pycommremover
pycommremoverPython3 Module to convert from duration to date and time.InstallationInstall with pippip3 install -U pycommremoverUsageIn [1]: import pycommremover

In [2]: text = """
print("First line")

\"\"\"

print("Commented line.")

'''
print("Commented line 2.")

print("Commented line 3.")

# Single line comment 1.
'''

# Single line comment.
print("Commented line 4.")

\"\"\"

# Single line comment 2.

print("Commented line 5")
"""

In [3]: output = pycommremover.remove_comments(text=text)


In [4]: print(output)

print("First line")





print("Commented line 5")
Package: pycomm-scanlist
Pycomm ScanlistPython module for managing a list of tags being read from a Rockwell Automation PLC.Scanlist ClassThe module implements aScanlistclass with a required parameter of IP Address. Optionally, aplc_typeand achange_handlerparameter can be passed to the class.plc_typeparameterDue to different implementations withinpycommfor Micro800 PLCs, in order to read from a Micro800 PLC, the value ofplc_typemust be"Micro800". The default value forplc_typeis"CLX"for ControlLogix/CompactLogix PLCs.change_handlerparameterThechange_handlershould be a function with a required parametersenderand an optional parametereargs.senderis a reference to the instance ofTagthat has changed.The default implementation of change_handler is:defchange_handler(sender):"""Handle a tag value change."""print("{}changed from{}to{}".format(sender.tag_name,sender.last_value,sender.value))Scanlist.add(tag_name)functionScanlist.addtakes one parametertag_nameand adds it to the list of tags to scan.Scanlist.remove(tag_name)functionScanlist.addtakes one parametertag_nameand removes it from the list of tags to scan.Scanlist.print_tag_names()functionScanlist.print_tag_names()prints all tag names currently in the list of tags to scan.Scanlist.scan()functionScanlist.scan()polls all tags in the list of tags to scan and runs thechange_handlerfunction if the tag value has changed.ExampleThe following example creates two scanlists, one for the Micro800 PLC at 192.168.1.12 and another for the CLX PLC at 192.168.1.11. Each PLC has 4 tags in the scanlist.importtimefrompycomm_scanlistimportScanlistdefhandle_tag_change(sender,eargs=None):"""Handle a tag value change."""print("{}CHANGED FROM{}TO{}".format(sender.tag_name,sender.last_value,sender.value))micro_scan_list=Scanlist("192.168.1.12",plc_type="Micro800",change_handler=handle_tag_change)micro_scan_list.add("pond1Volume")micro_scan_list.add("pond2Volume")micro_scan_list.add("pond3Volume")micro_scan_list.add("pond4Volume")clx_scan_list=Scanlist("192.168.1.11",change_handler=handle_tag_change)clx_scan_list.add("DH_Fluid_Level")clx_scan_list.add("DH_IntakePressure")clx_scan_list.add("DH_IntakeTemperature")clx_scan_list.add("DH_MaxIntakePressure_Forever")micro_scan_list.print_tag_names()clx_scan_list.print_tag_names()whileTrue:micro_scan_list.scan()clx_scan_list.scan()time.sleep(5)TODOAdd tests to increase coverage.Per-tag handlers?PyPi packageContributorsPatrick McDonagh -@patrickjmcd- Owner
Package: pycommunicate
# pycommunicate
pycommunicate is a library that wraps flask and flask-socketio to provide you with a really cool thing.## what can it do?
pycommunicate allows for serverside event handling of js events, and even modifying the dom on the server. This is accomplished
by using socketio, so anything that socketio supports, this should support too.There’s also jinja2 for template rendering, sessions that persist across… sessions, sessions that persist across requests,
support for changing html from one page to another without swapping the page, and much more!## examples plzLook in the docs/examples directory. The tutorial one can be created by following the tutorial on the docs## documentation?[pycommunicate docs on readthedocs.io](http://pycommunicate.readthedocs.io)
Package: pycommute
pycommuteis a Python package providing bindings for thelibcommutequantum operator algerba
library.You can find a fewusage examplesand anAPI referenceatpycommute'sdocumentation website.Installation from sourcesDownloadsource code oflibcommute0.6 or newer and optionallyinstallit.Install Python prerequisites:packaging >= 17.0pybind11 >= 2.6.0numpy >= 1.12.0Run the following command in the unpacked source archive ofpycommute,LIBCOMMUTE_INCLUDEDIR="<path_to_libcommute>/include" python setup.py install<path_to_libcommute>must be either installation or source directory oflibcommute.Automated installation usingpipLIBCOMMUTE_INCLUDEDIR="<path_to_libcommute>/include" pip install pycommuteDocker imagesDocker images of tagged releases ofpycommuteare available fromDocker Hub.docker run --rm -p 8888:8888 ikrivenko/pycommute:latestThis command will pull the most recent image and launch aJupyternotebook server accessible athttp://127.0.0.1:8888/. The server is run in a
directory with a few interactive example notebooks.CitingIf you find this package useful for your research, you can help me by citing it
using the following BibTeX entry.@article{pycommute,
    title = {{libcommute/pycommute: A quantum operator algebra domain-specific
              language and exact diagonalization toolkit}},
    author = {Igor Krivenko},
    journal = {SoftwareX},
    volume = {17},
    pages = {100937},
    year = {2022},
    issn = {2352-7110},
    doi = {10.1016/j.softx.2021.100937}
}LicenseThis Source Code Form is subject to the terms of the Mozilla Public
License, v. 2.0. If a copy of the MPL was not distributed with this
file, You can obtain one athttp://mozilla.org/MPL/2.0/.
Package: pycomo
PyCoMoWhat is PyCoMo?PyCoMo is a python 3 package for the creation and analysis of community metabolic models. More specifically, PyCoMo generates compartmentalized community metabolic models with a structure allowing simulations under fixed growth rate, but variable abundance profile, or fixed abundance profile and variable community growth rate. The community metabolic models generated by PyCoMo can switch between these two structures and retain the original reaction bounds of the input member models. As also all metabolites, reactions, genes and compartments are directly attributable to their member of origin, PyCoMo community metabolic models are fully reusable.The community models can be analysed with PyCoMo to predict all feasible exchange metabolites and cross-feeding interactions, for the whole space of growth rate and abundance profiles. The community models are COBRApy models and can therefor be directly used by other COBRA methods. It is also possible to save and load the community models in SBML format, allowing to share and reuse the models built with PyCoMo.InstallationPyCoMo can be installed via pip.pip install pycomoAlternatively PyCoMo can be installed from the GitHub repository. First clone the repository to your machine.git clone https://github.com/univieCUBE/PyCoMoNext run pip install on the folder containing the PyCoMo repository.pip install path/to/PyCoMoUsage guidePyCoMo can be imported in Python as any other package. Please look through the tutorial for a walkthrough of all the options generating and analysing community metabolic models (available as ipython notebook, python file and pdf).PyCoMo can also be used via its command line interface. After installation, runpycomo -horpycomo --helpto see all options.Citing PyCoMoAt the present moment we are still working on the final stages of the manuscript. Once it is made public, a citation note will be included at this place.
Package: pycomon
pycomon: A simple internet connection monitor=======================This project aims to build a simple connection monitor thancan be used everyday to monitor ***ping*** and ***throughtput***,or in other words, your ***lag*** and ***how fast you can download***.The tool can do an instant test, but the main goal is to run an hourly test,for as long as the program is running. The results can be read byany spreadsheet software such as Excel, Libreoffice or even google drive.This way you can examine all your data on your own (and then shove it in the face of your ISP).How to use====================Just open the program and type some urls in the first column. Then click on the box in the ***Enabled*** column.That's it. Once per hour, the program will do a latency (ping) test and try to download the file from the link.Keep in mind that if you choose a file that is too small, the download speed will not be very accurate.Requirements====================Python 3. That's it. Everything else comes with Python.Installing====================If you are on linux, just this will do the job:```bashsudo pip3 install pycomon```After this, the program will be avaiable as ***pycomon*** in the commandline.It should be the same on windows.----pycomon: Um monitor de conexão simples======================O objetivo deste projeto é construir uma ferramenta simples pra monitorar a sua conexão de internet.O programa monitora o ***ping*** e o ***throughtput*** da sua conexão, ou, em outras palavras, o seu ***lag*** e asua ***velocidade de download***.Como usar==============É só abrir o programa e digitar as urls para testar na primeira coluna. Daí clique na caixa na coluna ***Enabled***.É isso. Uma vez por hora o programa tentará fazer um teste de latência (ping) e tentará baixar o arquivo do link.Tenha em mente que se você escolher um arquivo muito pequeno, a velocidade de download não sera muito precisa.Requisitos====================Python 3. Só. Todo o resto vem com o Python.Instalando====================Se voce está no linux, isso já faz o trabalho:```bashsudo pip3 install pycomon```Depois de rodar o comando acima, o programa estará disponível como ***pycomon*** na linha de comando.Deve ser o mesmo no windows.
Package: pycom-ota-server
Pycom OTA serverHost Pycom firmware files and serve to client devices.Directory structureAll firmware versions must be located inside thefirmwaredirectory. Any version format is allowed, but the Python LooseVersion is recommended. Firmware files must be namedappimg.binand be located inside the version directory..
|
- main.py
- firmware.py
- firmware
  |
  - 0.0.1
  | |
  | - appimg.bin
  |
  - 0.0.2
  | |
  | - appimg.bin
  |
  - 0.0.2.dev-f673ba1
	|
	- appimg.bin
Package: pycompadre
COMpatible PArticle Discretization and REmap ToolkitAboutThe Compadre Toolkit provides a performance portable solution for the parallel evaluation of computationally dense kernels. The toolkit specifically targets the Generalized Moving Least Squares (GMLS) approach, which requires the inversion of small dense matrices. The result is a set of weights that provide the information needed for remap or entries that constitute the rows of some globally sparse matrix.This toolkit focuses on the 'on-node' aspects of meshless PDE solution and remap, namely the parallel construction of small dense matrices and their inversion. What it doesnotprovide is the tools for managing fields, inverting globally sparse matrices, or neighbor search that requires orchestration over many MPI processes. This toolkit is designed to be easily dropped-in to an existing MPI (or serial) based framework for PDE solution or remap, with minimal dependencies (KokkosandKokkosKernels).Generalized Moving Least Squares (GMLS)A GMLS problem requires the specification of a target functional(Compadre::TargetOperation), a reconstruction space(Compadre::ReconstructionSpace), and a sampling functional(Compadre::SamplingFunctional).The Compadre Toolkit is designed to efficiently assemble, factorize, and solve large batches of minimization problems having the form:Wiki InformationDetails about building and using the Compadre toolkit can be found on theWiki.Recent ChangesRecent ChangesInstallationInstallation of Kokkos and KokkosKernels[Either automatically configured and built, or user installation location provided]Installation of CompadreDocumentation and TutorialsThe toolkit is documented by Doxygen.Documentation is available onlineor can be compiled from source.
To compile from source: 1.) install doxygen software on your computer, 2.) execute '>> make doc' after having installed the Compadre Toolkit. HTML and Latex documentation will be generated in thedoc/folder, in-source.Citing the SoftwareIf you write a paper using results obtained with the help of the Compadre Toolkit, please cite the following reference which is applicable to every version of the Compadre Toolkit:@software{compadre_toolkit,
  author       = {Paul Kuberry and
                  Peter Bosler and
                  Nathaniel Trask},
  title        = {Compadre Toolkit},
  month        = jan, 
  year         = 2019,
  doi          = {10.11578/dc.20190411.1},
  url          = {https://github.com/sandialabs/compadre}
}If you are using a particular release of the Compadre Toolkit and would like to help others to reproduce your results, please cite that release specifically. A reference to the most recent release is:@software{compadre_toolkit_v1_5_0,
  author       = {Paul Kuberry and
                  Peter Bosler and
                  Nathaniel Trask},
  title        = {Compadre Toolkit},
  month        = sep,
  year         = 2022,
  publisher    = {Zenodo},
  version      = {v1.5.0},
  doi          = {10.5281/zenodo.7065758},
  url          = {https://doi.org/10.5281/zenodo.7065758}
}! DOI: 10.11578/dc.20190411.1