Saravanan666/pypi-org huggingface dataset:
Package: pylogfloat
Class PyLogFloatThe PyLogFloat class transforms any float (positive or negative) in
linear space into log_space and allows standard arithetic and logical
operations in in linear space to be performed between two PyLogFloats.Internally a floatfis stored as follows:the (natural) log of|f|is stored as in a numpy.float64 variable,pthe sign off(‘-’, ‘+’ or ‘0’) are stored in a variable (-1, +1, 0) variable,signBy storing thesignseparately, both positive and negative floats can
be stored in a pyLogFloat. Notice that asign=0corresponds to the
case wheref =0.Arithmetic operatorsThe following arithmetic operators are implemented:+=
-=
*=
/=
+
-
*
/Multiplication and division in linear space simply becomes addition
and subtraction in log space.  To implement linear space addition, the
standard approach applying thelog1pfunction is used. A
conditional use oflog1porexp1mis used for log value
subtractions, followingMächler, M. Accurately Computing log(1 − exp(−
|a|)) Assessed by the Rmpfr package Cran, The Comprehensive R Archive
Network.The internalsignvariable is taken into account when performing
arithmetic operations. For example, in a multiplication between PyLogFloatsaandb, corresponding to a positive float and a negative float,
respectively, the resulting PyLogFloat has:result.p = a.p + b.p
result.sign = a.sign * b.signOther operators are treated correspondingly (addition and subtraction
becomes somewhat more involved).Logical operatorsThe following arithmetic operators are implemented:<=
>=
<
>In logical operations between PyLogfloatsaandb, the
internal sign variable is first compared (-1 < 0 < +1).If thea.sign == b.sign:a.sign == 0 <=> equalitya.sign > 0, return a.p [operator] b.pa.sing <0, return !(a.p [operator] b.p)Other functionsPower operators (lplf**p, where plf is a pylogfloat and p is a
float or int) are implemented:**= (equiv ipow(self, p))
** (equiv pow(self, p))Logarithms and exponents of PyLogFloat are implemented, both as
inplace (e.g.,ilog) and standard that is returning the result of
the operation (e.g.,log):ilog(self)
log(self
iexp(self)
exp(self)All functions and operators, except the power operator, are
implemented to only work with PyLogFloats. The power operator
always has a PyLogFloat base variable and a float or int power
variable.PLEASE NOTE THAT THIS IS STILL WORK IN PROGRESSWhile a rudimentary test file is included, the class is still largely
untested.  Further functions may or may not be implemeted, e.g., a
factorial function may be of interest. As could, in certain instances,
automatic conversion of arguments to PyLogFloats.
Package: pylogformats
PyLogFormatsFeaturesJson FormattersAdvJsonFormat{"logger":"root","timestamp":"2021-02-04T23:02:52.522958","rtimestamp":"2021-02-04T23:02:37.518800","message":"TEST","level":"ERROR","levelno":40,"location":{"pathname":"<FULL_PATH>\\test_logger.py","module":"test_logger","filename":"test_logger.py","function":"<module>","line":16},"process":{"number":2300,"name":"MainProcess"},"thread":{"number":12516,"name":"MainThread"},"v":1}BunyanFormat{"time":"2021-02-04T23:01:00.781Z","name":"root","pid":15504,"level":40,"msg":"TEST","hostname":"HerculesPC","v":0}JsonFormat{"logger":"root","timestamp":"2021-02-04T23:01:46.435011","message":"TEST","level":"ERROR","levelno":40,"function":"<module>","process":{"number":13316,"name":"MainProcess"},"thread":{"number":10704,"name":"MainThread"},"v":1}Text FormattersSimpleTextFormat[DEBUG] [2021-02-04 23:01:46] A Test Debug LogCompactTextFormat[D 2021-02-04 23:01:46 l:root f:<module> ln:5] A Test Log [includesExtras:Yes]InstallationYou can installPyLogFormatsviapipfromPyPI:$pipinstallpylogformatsUsageFor an explanation of this, and more usage instructions please visit thedocumentationimportloggingimportsysfrompylogformatsimportJsonFormat# Create the logging handlerhandler=logging.StreamHandler(sys.stdout)# Add the formatter class to the handler we just created.handler.setFormatter(JsonFormat())# Use basicConfig to setup the loggers.logging.basicConfig(handlers=[handler],level=logging.DEBUG)# Use the normal logging methods to see formatted logs in your terminallogging.critical("Critical Log")logging.error("Error Log")logging.warning("Warning Log")logging.info("Info Log")logging.debug("Debug Log")ContributingContributions are very welcome.
To learn more, see theContributor Guide.LicenseDistributed under the terms of theMIT license,PyLogFormatsis free and open source software.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.CreditsThis project was generated from@cjolowicz'sHypermodern Python Cookiecuttertemplate.
Package: pylogformatter
py-logging-fmtpython logging formatter. JSONFormatter、GenericFormatter、CeleryTaskFormatterInstallation$pipinstallpylogformatter---> 100%ExampleCreate itCreate a fileexample.pywith:importloggingfrompylogformatter.jsonimportJSONFormatterlogger=logging.getLogger()logHandler=logging.StreamHandler()formatter=JSONFormatter(hostname="app.example.com",indent=True)logHandler.setFormatter(formatter)logger.addHandler(logHandler)logger.error('hello world!',extra={"tags":["app=helloworld"]})Out:{"@timestamp":"2021-05-27 03:03:01.745983 +00:00","app_host_name":"app.example.com","logger_name":"root","level":"ERROR","pathname":".\\example.py","lineno":17,"func_name":"<module>","thread_id":30612,"thread_name":"MainThread","process_id":7356,"process_name":"MainProcess","message":"hello world!","tags":["app=helloworld"]}
Package: pylogg
PyLoggLogging and YAML-based configuration modules in Python.InstallationYou can install this package from PyPI withpip.pipinstall-UpyloggUsageSet up the logger in the main script.importpyloggpylogg.init(pylogg.Level.TRACE,colored=False)pylogg.info("Hello world.")Update individual settings if needed. These settings will override the settings set usingpylogg.get()instances.importpyloggaslog# Set output filelog.setFile(open("test.log","w+"))# Show date and times on consolelog.setConsoleTimes(show=True)# Save date and times to filelog.setFileTimes(show=True)# Set global logging levellog.setLevel(log.DEBUG)# Override the level of a named sub-loggerlog.setLoggerLevel('module',log.INFO)# Uselog.info("Hello world")# Close the log filelog.close()Use sub-logger from the modules.importtimeimportpylogg# Create or get a named sub-logger.log=pylogg.get(__name__)# Usedefrun():log.Trace("Running module ...")# Support for f strings.log.Debug("2 + 2 ={}({answer})",2+2,answer=True)deftiming():# Get the timer instancet1=log.Info("Started process ...")# long processtime.sleep(2)# Call timer.done() to log elapsed time.t1.done("Process completed.")Note:Full logg package must be imported. Useimport pylogg,
do not usefrom pylogg import get.See theexamplesfor more details.Development# Create a fork and clone the git repo.gitclonehttps://github.com/akhlakm/python-logg.gitcdpython-logg# Install dev requirements.pipinstall-e.[dev]# Install pre-commit git hooks.pre-commitinstall# Make changes and commit.# Publish new tag../make.shpublishAboutLICENSE MIT Copyright 2024 Akhlak Mahmood
Package: pylogger2azblob
PYLOGGER2AZBLOBOverviewThis repository provides a Python logging handler, BlobStorageTimedRotatingFileHandler, that extends the functionality of the built-in TimedRotatingFileHandler. This handler automatically rotates log files at specified intervals and uploads the outdated log files to an Azure Storage Blob container. This ensures that your log history is retained in Azure Blob Storage while keeping only the latest log on the local file system.Please note, thePYLOGGER2AZBLOBis now open source!
The repo is available here:PYLOGGER2AZBLOB - Github.Changelog0.1.0 (2024-01-03)first release
Package: pyloggerhelper
pyloggerhelperjson格式log的帮助程序使用frompyloggerhelperimportlogdeftestrun():log.info("test")if__name__=="__main__":log.initialize_for_app("testapp",log_level="INFO",binds={"IP":"0.0.0.0"})testrun()0.0.4新特性增加参数json_render_kws用于设置json的输出格式0.0.3优化去掉了logger这个意义不明的字段,改为使用app_nametimestamp改为time避免歧义0.0.2新特性怎加了初始化参数binds:Dict[str,Any]用于绑定固定字段0.0.1项目创建
MIT LicenseCopyright (c) 2021 Python-ToolsPermission 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: pyloggeritzwazy
PyloggerThis library took me a long time to makeDownload the log_installer.py file and run itInstall InstructionsIndex💪-Support📩-How to download it🚦-How to start📝-Instructions📩 How to download it[!IMPORTANT]
Downloadlog_installer.pyand run it(instructions on wiki)🚦-How to start[!IMPORTANT]
Run the "py_logger.py" file itself for the instructionsAll functions contain instructionsTo install this library first download the file pylogger.py and put it into the same folder as your projects and in your code do this command(or run the installer and do the inject function(instructionshere)):from py_logger import *💪-SupportIf library does not work message support atpylogge@gmail.comor join theDiscord
Package: pyloggers
loggers for Python, Easy to use, It’s a handy tool.Usagepip install pyloggersfrom__future__import(absolute_import,unicode_literals)frompyloggersimportCONSOLEdeffunc(a,b,c):CONSOLE.info("====func start .{}====".format(locals()))try:raiseValueError("value error")exceptValueErrorase:CONSOLE.exception(e)deftest_a():CONSOLE.info("==== start ===")func(1,1,1)CONSOLE.info("==== end ==")defmain():test_a()func(1,1,1)Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Package: pylogger-unified
pylogger_unifiedA python wrapper that handles web logging, standard application logging to different format: json (gelf), colored text, raw, gnome notificationsBuild manually (testing env for the moment)Install testing envrionment here:https://packaging.python.org/en/latest/tutorials/packaging-projects/.cdpylogger-unified/
python3-mbuild
python3-mtwineupload--repositorytestpypi./dist/*Install the lib (testing env for the moment)pip3install-ihttps://test.pypi.org/simple/pylogger_unifiedStart Using the libfrompylogger_unifiedimportloggeraspylogger_unifiedlogger=pylogger_unified.init_logger()logger.info("this is a test")
Package: py-logging
py-loggingConfigurable and easy extendable python loggerStatus:BranchTestsCode QualitymasterUsageBasicfrompylogging.loggerimportLoggerfrompylogging.log_levelimportLogLevellogger=Logger()logger.log(LogLevel.INFO,"Connection initialized")logger.log(LogLevel.WARNING,"The rat bit your cables")logger.log(LogLevel.ERROR,"The plague of rats in the server room")FormattersScopefrompylogging.loggerimportLoggerfrompylogging.log_levelimportLogLevellogger=Logger()logger.set_options({"scope":True})logger.log(LogLevel.ERROR,"Cannot connect to host")Listfrompylogging.loggerimportLoggerfrompylogging.log_levelimportLogLevellogger=Logger()logger.log(LogLevel.INFO,["List","List"])Dictionaryfrompylogging.loggerimportLoggerfrompylogging.log_levelimportLogLevellogger=Logger()logger.log(LogLevel.INFO,{"1":"Value1","2":"Value2"})
Package: py-logging-logship
python-logging-lokiPython logging handler for Loki.https://grafana.com/lokiInstallationpipinstallpython-logging-lokiUsageimportloggingimportlogging_lokihandler=logging_loki.Handler(url="https://my-loki-instance/loki/api/v1/push",tags={"application":"my-app"},auth=("username","password"),version="1",)logger=logging.getLogger("my-logger")logger.addHandler(handler)logger.error("Something happened",extra={"tags":{"service":"my-service"}},)Example above will sendSomething happenedmessage along with these labels:Default labels from handlerMessage level asserverityLogger's name asloggerLabels fromtagsitem ofextradictThe given example is blocking (i.e. each call will wait for the message to be sent).But you can use the built-inQueueHandlerandQueueListenerto send messages in a separate thread.importlogging.handlersimportlogging_lokifrommultiprocessingimportQueuequeue=Queue(-1)handler=logging.handlers.QueueHandler(queue)handler_loki=logging_loki.Handler(url="https://my-loki-instance/loki/api/v1/push",tags={"application":"my-app"},auth=("username","password"),version="1",)logging.handlers.QueueListener(queue,handler_loki)logger=logging.getLogger("my-logger")logger.addHandler(handler)logger.error(...)Or you can useLokiQueueHandlershortcut, which will automatically create listener and handler.importlogging.handlersimportlogging_lokifrommultiprocessingimportQueuehandler=logging_loki.LokiQueueHandler(Queue(-1),url="https://my-loki-instance/loki/api/v1/push",tags={"application":"my-app"},auth=("username","password"),version="1",)logger=logging.getLogger("my-logger")logger.addHandler(handler)logger.error(...)
Package: pyloggrid
PyLogGrid is a Python-based framework for running and analyzing numerical simulations onlog-lattices [1]. The log-lattice structure is particularly useful for modeling phenomena that exhibit multi-scale behavior, such as turbulence. PyLogGrid is designed to be flexible, customizable, and easy to use.This framework has been used in several scientific papers such as[2],[3].The framework includes a variety of built-in tools for analyzing simulation results, including visualization tools and post-processing scripts.References:[1]Campolina, C. S., & Mailybaev, A. A. (2021). Fluid dynamics on logarithmic lattices. Nonlinearity, 34(7), 4684. doi:10.1088/1361-6544/abef73[2]Barral, A., & Dubrulle, B. (2023). Asymptotic ultimate regime of homogeneous Rayleigh–Bénard convection on logarithmic lattices. Journal of Fluid Mechanics, 962, A2. doi:10.1017/jfm.2023.204[3]Costa, G., Barral, A., & Dubrulle, B. (2023). Reversible Navier-Stokes equation on logarithmic lattices. Physical Review E, 107(6), 065106. doi:10.1103/PhysRevE.107.065106
Package: pyloghandlers
pyloghandlerspyloghandlers是对logging.handlers中的类进行了继承重写，解决了在多进程下日志写入混乱的问题。
这是concurrent-log-handler的简化版本，
引用里面核心方法，删除一些多余功能， 增加按时间切割类变更汇总移除日志文件压缩功能移除文件授权账号授权功能移除python2.x的支持移除debug功能移除夏令时(基于logging.handlers)移除日志队列方法名和属性名的重命名类的重定义和重命名加锁文件名定义逻辑文件大小判断逻辑(还原成logging.handlers逻辑)支持时间滚动(基于logging.handlers有改动)tips:上面的变更汇总是pyloghandlers v0.0.1 相比于 concurrent-log-handler v0.9.20 的对比结果相关链接pyloghandlers on Githubconcurrent-log-handler on Github安装与使用安装pip install pyloghandlers使用class PylogRotatingFileHandler的使用方法, 查看pylog_rotating_file_handler.mdclass PylogTimedRotatingFileHandler的使用方法, 查看pylog_timed_rotating_file_handler.mdChangelog查看CHANGELOG.mdLicense查看License
Package: py-logic
logicLogic is a predicate logic simulator. It can be used to create automated proof.InstallationInstall using pip with the git urlpipinstallpy-logicExample UsagefromlogicimportProposition,IMPLY,prove# Creating propositional variablesa=Proposition("a")b=Proposition("b")assumptions=[IMPLY(a,b),# if a then b~b,# not b]conclusion=~a# not a# generating proofproof,truth=prove(assumptions,conclusion)print(proof)OutputUsing Modus Tollens the above conclusion can be proved:¬ (a)                Modus Tollens {((a) → (b)), ¬ (b)}This is question from Discrete Mathematics and Its Applications 7th Edition by Kenneth H. Rosen.If Superman were able and willing to prevent evil,
he would do so. If Superman were unable to prevent
evil, he would be impotent; if he were unwilling
to prevent evil, he would be malevolent. Superman
does not prevent evil. If Superman exists,
he is neither impotent nor malevolent.
Therefore, Superman does not exist.Code to solve the above questionfromlogicimportProposition,IMPLY,prove# Creating propositional variablesa=Proposition("a","Superman is able to prevent evil")b=Proposition("b","Superman is willing to prevent evil")c=Proposition("c","Superman is impotent")d=Proposition("d","Superman is malevolent")e=Proposition("e","Superman prevents evil")f=Proposition("f","Superman exists")# encoding assumptionsassumptions=[IMPLY(a&b,e),IMPLY(~e,c),IMPLY(~b,d),~e,IMPLY(f,~c&~d),]# encoding conclusionconclusion=~f# printing assumptionsprint("Assumptions:")foriinassumptions:print(i)# printing conclusionprint(f"Conclusion:{conclusion}")# generating proofproof,truth=prove(assumptions,conclusion)asserttruth==True# checking if it could be proved# printing proofprint(proof)TODOImplement support forForAllandThereExistsImplement proof verifier, to verify proof given by user
Package: pylogics
PyLogicsA Python library for logic formalisms representation and manipulation.InstallTo install the package from PyPI:pip install pylogicsTestsTo run tests:toxTo run only the code tests:tox -e py3.7To run only the linters:tox -e flake8tox -e mypytox -e black-checktox -e isort-checkPlease look at thetox.inifile for the full list of supported commands.DocsTo build the docs:mkdocs buildTo view documentation in a browser:mkdocs serveand then go tohttp://localhost:8000Licensepylogics is released under the GNU Lesser General Public License v3.0 or later (LGPLv3+).Copyright 2021 WhiteMechAuthorsMarco Favorito
Package: pylogik
PyLogikA Python package dedicated to sharing functions and classes for common image processing and statistical tools. This includes Sorensenâ€“Dice coefficient (Dice) score and plotting functions.Citing this work:A. Kline, PyLogik, 2022Integration with Jupyter Lab/Jupyter NotebooksBuilt-in plotting functionality for image comparisonsInstallationPackage ImportData ImportDice Score CalculationImpairshowConclusionInstallationInstall the package through pip:$pipinstallpylogikImage Processing Importfrompylogik.imageimportimag_analysisData ImportOptions for reading in images:Matplotlib -plt.imread()OpenCV -cv2.imread()Pillow -Image.open()scikit-image -io.imread()# read in your dataim1=cv2.imread('example_im1.png')im2=cv2.imread('example_im2.png')Dice ScoreThe mathematical formalism of the Dice score is denoted by the equation:$$ DSC = \frac{2*|X \cap Y|}{|X|+ |Y|} $$where $\cap$ denotes the intersection of two images $X$ and $Y$.Performing the calculation using a function inPyLogik:dice=imag_analysis.dice_score(pred,true,k=1)Note:pred- array of the predicted segmentationtrue- array of the ground truth segmentationk- value to perform matching on (default = 1)Returns: dice score (float)Impairshow Graphical Outputimshowpairreturns the array and image associated with a dice score comparison of 2 logical images. Colors are prespecified as magenta and green but can be adjusted by the user.imag_analysis.imshowpair(pred,true,color1=(124,252,0),color2=(255,0,252),show_fig=True):Note:pred- array of the predicted segmentationtrue- array of the ground truth segmentationcolor1- first color to show unique values from first imagecolor2- second color to show unique values from second imageReturns: array and graphical plotConclusionThis package offers a user friendly dice score calculation and dice score plotting functionality to showcase the intersection and complement of each image relative to the other. This package will be continually built on to incorporate other statistical and image processin functionality
Package: py-login
PYLOGINThe projectPylogin is colection of codes that provide a simple login system for your web app - site.How to useAfter executing the Pylogin initialization script(pylogin)  you can implement you Reactjs project under the Link tag inside log/src/Dashboard.jsBugsIn case that you find a bug report it on github, or send an e-mail tobernardo.contato2020@gmail.comInstalationTo install Pylogin, run in a terminalpip install pyloginMore informationTo more information - documentation go to ouer site or githubnamelinkDescriptionSitewww.pylogin.itBig documentation - General inf.Githubgithub.com/jazzman07/pylogin/Code - Small Documentation
Package: pyloginsight-fork
Python API client bindings forVMware vRealize Log Insight’sAPI.Getting StartedThemasterbranch is code that’s in development right now. To install in develop mode, create avirtual environmentand clone+install withpip:virtualenv pyloginsight
cd pyloginsight
source bin/activate
pip install -e git+https://github.com/vmware/pyloginsight.git#egg=pyloginsight
cd src/pyloginsight/Running testsNone of the tests require a connection to a live server. They’re either unittests or usingrequests_mock.You will needtoxinstalled and a checkout of this repository. Runningtoxwill install test-centric dependencies (pytest,requests_mock) intox’s own virtualenvs (.tox/py{27,35}/), along with the pyloginsight package and its requirements, then run tests and style checks (pytest,pep8,pyflakes).:virtualenv pyloginsight
cd pyloginsight
source bin/activate
pip install -e git+https://github.com/vmware/pyloginsight.git#egg=pyloginsight
cd src/pyloginsight/
pip install tox
tox
Package: pylogin-sys
PyloginThe projectPylogin is colection of codes that provide a simple login system for your web app - site.How to useAfter executing the Pylogin initialization script(pylogin)  you can implement you Reactjs project under the Link tag inside log/src/Dashboard.jsBugsIn case that you find a bug report it on github, or send an e-mail topylogin@protonmail.comInstalationTo install Pylogin, run in a terminalpip install pyloginMore informationTo more information - documentation go to ouer site or githubnamelinkDescriptionSitepylogin.netlify.app/Big documentation - General inf.Githubgithub.com/jazzman07/pylogin/Code - Small Documentation
Package: pylogit
PyLogitPyLogit is a Python package for performing maximum likelihood estimation of conditional logit models and similar discrete choice models.Main FeaturesIt supportsConditional Logit (Type) ModelsMultinomial Logit ModelsMultinomial Asymmetric ModelsMultinomial Clog-log ModelMultinomial Scobit ModelMultinomial Uneven Logit ModelMultinomial Asymmetric Logit ModelNested Logit ModelsMixed Logit Models (with Normal mixing distributions)It supports datasets where the choice set differs across observationsIt supports model specifications where the coefficient for a given variable may becompletely alternative-specific(i.e. one coefficient per alternative, subject to identification of the coefficients),subset-specific(i.e. one coefficient per subset of alternatives, where each alternative belongs to only one subset, and there are more than 1 but less than J subsets, where J is the maximum number of available alternatives in the dataset),completely generic(i.e. one coefficient across all alternatives).InstallationAvailable fromPyPi:pip install pylogitAvailable throughAnaconda:conda install -c conda-forge pylogitorconda install -c timothyb0912 pylogitUsageFor Jupyter notebooks filled with examples, seeexamples.For More InformationFor more information about the asymmetric models that can be estimated with PyLogit, see the following paperBrathwaite, T., & Walker, J. L. (2018). Asymmetric, closed-form, finite-parameter models of multinomial choice. Journal of Choice Modelling, 29, 78–112.https://doi.org/10.1016/j.jocm.2018.01.002A free and better formatted version is available atArXiv.AttributionIf PyLogit (or its constituent models) is useful in your research or work, please cite this package by citing the paper above.LicenseModified BSD (3-clause). Seehere.ChangelogSeehere.