Saravanan666/pypi-org huggingface dataset:
Package: pyNonogram
pyNonogram v1.0.0Framework for puzzle gameNonogram. It was made thinking about projects that aim to solve puzzles. I wanted to create comprehensive library that would take some work of nonogram developers' shoulders.It is my first package thus, reporting issues and pull request are more than appreciated.Table of ContentsInstallationDocumentationUsageFile extensionCode exampleContributingLicenseInstallationInstall withpip:pip install pyNonogramDocumentationThe documentation is availablehereUsageFile extension (.non)Example .non file:author:Apsurt
date:31.12.23
picture:2
difficulty:2
width:5
height:5
rows:1 3 2,2 3 1 1
columns:1 3 2,3 3 1
solution:001000111011011011100010000100Note that there is no space before nor after the colon. Separate row or column hints are separated by space character, whereas hints in the same row or column are separated with coma. For row hints in sequence are from left to right, for columns from top to bottom.Code examplefrom pyNonogram import Nonogram

my_nonogram = Nonogram()
my_nonogram.load("house.non")

my_nonogram.grid.fill_row(2, 1)

my_nonogram.print()For more elaborate examples check outGitHubContributingAll contributions are welcome. Just keep in mind agenda of this package, lightweight framework. Before creating pull request remember to run tests via:python setup.py testLicenseThis project is licensed under theMIT License.
Package: pynoo
nooEasily create new projects.Installationpipinstallpynooor install from githubpipinstallgit+https://github.com/py-noo/nooContributingSeecontributing.Usagenooclone<name><ref>Noofile Specificationname: str
remote: str
read: [Read]
steps: [Step]FieldTypeDescriptionnamestrThe name of the noofile definitionremotestrThe remote location of the templatereadlist[Read]The list of variables to read on setupstepslist[Step]The list of steps to runReadname: str
prompt: str
default: ?strFieldTypeDescriptionnamestrThe name of the variable to readpromptstrThe prompt to display when reading the variabledefault?strAn optional default valueStepA step defines a single step in the process of setting up a project.name: str
actions: [Action]
conditions: ?[Condition]FieldTypeDescriptionnamestrThe name of the setup stepactionslist[Action]The list of actions in the stepconditions?list[Condition]An optional list of conditions required for the step to runConditionA condition is a function that must be true for a step to run.op: eq | ne | gt | lt | ge | le
var: str
value: strFieldTypeDescriptionopLiteral[OpType]The operation to performvarstrThe variable to compare, i.e. noo:yearvaluestrThe value to compare toOpTypeList of operation types:NameOperationeqEqualsneNot EqualsgtGreater ThanltLess ThangeGreater Than or EqualsleLess Than or EqualsActionAn action defined a single action within a step. This is the base of all steps, for example replacing a string with a different given string.Replace actionReplace actions are used to replace a specific string in a file. Thesrcfield specifies the string that should be replaced in the file, and thedestfield specifices the string to replace it with. Thedestfield is formatted with defined variables.A list of files can be provided, and each file will have the same transform applied to them.- action: replace
  files: [str]
  src: str
  dest: strDelete actionDelete actions are used to delete files.- action: delete
  files: [str]Create actionCreate actions are used to create files. Thefilefield specifies the file to be created, and thecontentfield specifics the content to be placed into the file. Thecontentfield is formatted with defined variables.- action: create
  file: str
  content: ?strRename actionRename actions are used to rename files. Thefilefield specifies the file to be renamed, and thedestfield specifies the new name of the file. Thedestfield is formatted with defined variables.- action: rename
  file: str
  dest: strVariablesVariables are defined in thereadsection of the noofile. All variables set in thereadsection will be available in thestepssection.Variables are used in the format$${scope}:{name}, for example$$noo:yearor$$var:author. Variables with thenooscope are built into noo and will always be available. Variables with thevarscope are defined in thereadsection.The variables defined by noo are:noo:year- The current yearnoo:month- The current monthnoo:day- The current daynoo:hour- The current hournoo:minute- The current minutenoo:second- The current secondnoo:name- The name of the project
Package: pynoonlight
pynoonlightDocumentation:https://IceBotYT.github.io/pynoonlightSource Code:https://github.com/IceBotYT/pynoonlightPyPI:https://pypi.org/project/pynoonlight/Create and update alarms for NoonlightInstallationpipinstallpynoonlightDevelopmentClone this repositoryRequirements:PoetryPython 3.7Python 3.10Setup virtual environmentsThis will modify your.bashrcfile to create two new aliases to point to the virtual environments.
The two new aliases are:noonlight_python3.10noonlight_python3.7cdpynoonlight
chmod+xsetup_virtual_environments.sh
./setup_virtual_environments.shActivate the virtual environment (Python 3.10)noonlight_python3.10Activate the virtual environment (Python 3.7)noonlight_python3.7TestingpytestDocumentationThe documentation is automatically generated from the content of thedocs directoryand from the docstrings
of the public signatures of the source code. The documentation is updated and published as aGithub project pageautomatically as part each release.ReleasingTrigger theDraft release workflow(pressRun workflow). This will update the changelog & version and create a GitHub release which is inDraftstate.Find the draft release from theGitHub releasesand publish it. When
a release is published, it'll triggerreleaseworkflow which creates PyPI
release and deploys updated documentation.Pre-commitPre-commit hooks run all the auto-formatters (e.g.black,isort), linters (e.g.mypy,flake8), and other quality
checks to make sure the changeset is in good shape before a commit/push happens.You can install the hooks with (runs for each commit):pre-commitinstallOr if you want them to run only for each push:pre-commitinstall-tpre-pushOr if you want e.g. want to run all checks manually for all files:pre-commitrun--all-filesThis project was generated using thewolt-python-package-cookiecuttertemplate.
Package: pynorama
## PynoramaPynorama is a tool for visualizing intricate datasets for which a simple table format is not suitable. It was created with Natural Language Processing applications in mind.[TODO: Screenshot]Pynorama lets you define *views* in **python** that are rendered as interactive web applications, letting you browse, analyse and understand your data.Pynorama is **open and extensible.**Pynorama has a clean and simple architecture.It makes little assumptions about your data source or data format.Read in the [documentation](https://pynorama.readthedocs.io) about developing extensions.## Quickstart### Install PynoramaFor a minimal install run:```pip install pynorama```### Using PynoramaTo create a *view*:* define a table describing your data records, currently supported sources are pandas dataframe and mongo queries.* define different stages of your data pipeline.* return a particular records for a given stage.* configure the UIIn python this would look similar to this:```pythonfrom pynorama import Viewfrom pynorama.table import PandasTableclass ExampleView(View):def __init__(self, name, description=''):super(ExampleView, self).__init__(name, description)setup_data()def get_pipeline(self):return {'raw_stage': {'viewer': 'raw'},'tokenized': {'viewer': 'json', 'parents': ['raw_stage']}}def get_record(self, key, stage):if stage == 'raw_stage':return get_html(key)else:return get_processed_data(key)def get_table(self):return PandasTable(get_dataframe())```Next, register the view with pynorama:```pythonfrom pynorama import register_viewregister_view(ExampleView('example'))```Finally, let Pynorama set up a *flask* server for you and start it:```pythonfrom pynorama import make_serverapp = make_server()app.run(host='localhost', port='5000')```Now just run your python script! The view should be accessible at *http://localhost:5000/view/example*.For more information check the [examples](examples) and the [documentation](https://pynorama.readthedocs.io)!## AcknowledgementsPynorama was developed at [Man AHL](http://www.ahl.com/).Original concept and implementation: [Alexander Wettig](https://github.com/CodeCreator)Contributors from AHL Tech team:* [Slavi Marinov](https://github.com/slavi)* [Nikolai Matiushev](https://github.com/egao1980)Contributions welcome!## LicensePynorama is licensed under the GNU LGPL v2.1.  A copy of which is included in [LICENSE](LICENSE)Changelog### 1.0.0* Initial public release
Package: pynorm
Norm = {Neural Object Relational Models}When human defines a concept, we compose it with other concepts. When the concept is not accurate, human critic and
modify the logic of the composition. However, that is not what the state of the arts AI technology, deep learning
practices. Deep neural networks considers the concept as a set of numerical
parameters to be optimized with respect to a set of data and an objective function. This black-box approach is
difficult for regular human experts to interpret and modify. It requires an experienced neural network architect to
fine-tune the parameters constantly.For example,JayWalkis a new concept that we need to detect forAutonomous Driving Vehicles. The standard procedure
is to collect a set of positive and negative images, then train a model to classify this concept. The challenge is that
it is difficult to collect positive examples for a complicated concept due to the long tail distribution and the
trained model will be less accurate if the data is not enough. However, if we compose the concept based on other
well-trained concepts, the chance to obtain a high quality model will be increased significantly.JayWalk(p:Person,r:Road)=WalkAcross(p,r)&On(p,z)&Part(r,?z)&!ZebraCross(z)If some concepts contain errors that accumulate due to the complex compositions, Norm can alleviate thisbrittlenesseffectively by adapting the parameters over a small set of examples. The entire logic program is compiled
to a neural network and the power of transfer learning is leveraged.Representing the AI model in terms of logic forms facilitates the white-box machine learning approach. Domain experts
can understand the logical explanation of the model and can argue with the model by looking into the counter-examples.
Particularly, domain experts can append thedifferential logicto the program and test them out. These explanatory
and explorative debugging capabilities turn the AI model development into an interactive and collaborative process
that fits into most of research agenda in many fields.In the end, logic program is the closest formal language to human language. Having a natural language parser will enable
many more people to benefit the AI development who do not know how to write in a formal language. It will open a door to
the Artificial General Intelligence that is capable of human-like reasoning.
Package: pynormalize
Command line utility for audio normalizationIt saves the metadata of the original files. Currently supported formats : WAV, FLAC, MP3, OGG, WEBM and MP4.UsageEither select multiple files to normalize :pynormalize-faudio1.mp3 /dir/audio2.flacor edit all the audio files in current directory :pynormalize-ayou can also import pynormalize:importpynormalizeFiles=['audio.wav']target_dbfs=-13.5pynormalize.process_files(Audio=Files,target_dbfs=target_dbfs,)InstallationClone it>> git clone https://github.com/giannisterzopoulos/pynormalize.git
>> cd pynormalize
>> pip install .or install from PyPI :pip install pynormalizeRequirementsFFmpeg is required for opening and saving non-wav files. Get it fromhereand put it in thepynormalize directory (where pynormalize.py is stored) or in your system PATH variable.Pynormalize supportsPython 3.4-3.6
Package: pynosh
PyNoshPyNosh is a solver package for nonlinear Schrödinger equations. It
contains the respective model evaluators along with an implementation of
Newton’s method and optional preconditioner for its linearization.PyNosh usesKryPyfor the
solution of linear equation systems and employs its deflation
capabilities. The packageVoroPyis used to construct the finite-volume discrezation.UsageDocumentationThe documentation is hosted atpynosh.readthedocs.org.ExampleAbsolute value and complex argument of a solution of theGinzburg-Landau equations, a particular instance of nonlinear
Schrödinger equations. The number of nodes in the discretization is
72166 for this example.DevelopmentPyNosh is currently maintained byNico
Schlömer. Feel free to contact Nico.
Please submit feature requests and bugs as GitHub issues.PyNosh is developed with continuous integration. Current status:LicensePyNosh is free software licensed under the GPL3 License.ReferencesPyNosh was used to conduct the numerical experiments in the paperPreconditioned Recycling Krylov subspace methods for self-adjoint
problems, A. Gaul and N. Schlömer, arxiv: 1208.0264,
2012.
Package: pynosql
PyNOSQL Library for PythonSummaryPyNOSQL is a simple library that wraps two popular NOSQL databases DynamoDB|MongoDB and provides the concept of a model
for maintaining, expanding, and reducing data structures stored in NOSQL tables.  Extend model.Model and pass to various
Dynamo operations to benefit from default values, adding/removing elements, and simplifying use of boto3 with DynamoDB.Versions0.0.1 - Support for basic CRUD operations in DynamoDB
0.0.2 - Support for basic update of model with GET|PUT
0.0.3 - Support for NotFound on single record and empty list for multiple recordsGetting StartedInstantiate a client and pass to the desired provider:from pynosql.credentials.aws import AWSCredentials
from pynosql.clients.aws import AWSClient
from pynosql.providers.dynamo import DynamoDBProvider

credentials = AWSCredentials(
    'AKIAIOSFODNN7EXAMPLE',
    'wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY'
)

dynamo = DynamoDBProvider(
    AWSClient(self.credentials, 'us-west-2')
)Extend base.model.Model to create the desired data structure to be stored in
your NOSQL DB:from pynosql.base.model import Model

class TestModel(Model):

    BASE = {
        'test1': None,
        'test2': None,
        'test3': None,
        'test4': None
    }

    def __init__(self):
        super(TestModel, self).__init__(self.BASE)Pass the model with the appropriate call to DynamoDB:key = {
    'test1': 'value1',
    'test2': 'value2'
}

response = dynamo.get_record(TestModel(), 'TestTable', Key=key)For paginating all results into the model, just keep passing the model
instance into your DynamoDB calls.  The new records will be appended to the
list within the model.
Package: pynosqlite
PyNoSQLite - Fast and Lightweight json file based databasegetting started - install$ pip3 install pynosqlitebasic usagefrom pynosqlite import PyNoSQLite

file = 'abc.json'

db = PyNoSQLite(file=file)

#insert single record/document -> return id of the inserted item
id = db.insert({'name': 'robin', 'age': 10})

#insert multiple records/documents -> return List of ids of the inserted items
ids = db.insert_many([{'name': 'asher', 'age': 5}, {'name': 'gush', 'age': 8}])

#get all records -> return dictionary of all records
results = db.all()

#find by id/primary key -> return record dictionary if found else return None
result = db.find(id) #return robin's record

#search for a record -> not implemented yet --TODO--
result = db.search({'name': 'asher'})

#delete single record by id -> return id of deleted item
deleted_id = db.delete(id) #delete robin's record

#delete many records by ids -> return ids of successfully deleted items
deleted_ids = db.delete_many(ids) #delete asher's, gush's records
Package: pynotebook
More screenshotsIntroductionPynotebook is a library for creating notebook applications in
wxpython. A notebook is a document which can contain program code,
text and graphics.  Notebooks are a pleasant way to develop and
document code and to store ideas.Unlike other python notebook interfaces such as jupyter or spyder, pnb
is very lightweight and can be easily embeded in wxpython
applications.Although python is the native language for pynotebook, it is
possible create notebooks for other scripting languages.Applications using the Pynotebook library arepnb application(a python notebook application) andrnb(an experimental notebook for the r programming language)Linksgithub page
Package: pynotepad
简介 Introduction:A open-source text editor written in Python.It supports editing text files,binary files with various encodingswhich can be automatically detected.When you edit a binary file, the contents of the file are displayed as escape sequences.You can find and replace words.You’re also able to choose themes you prefer.In addition, code highlighting is supported when editing Python code files,like IDLE.What’s more, dragging and dropping files into the editor window is now supported.一款使用tkinter编写的开源文本编辑器, 支持编辑文本文件、二进制文件、自由选择主题。支持ansi、gbk、utf-8等编码, 以及调用chardet库自动检测编码。编辑二进制文件时, 文件内容以转义序列形式显示。支持查找、替换; 且支持撤销、重做; 支持将文件拖放入窗口。可自由选择主题和字体, 改变字体大小。编辑python代码文件时, 支持代码高亮显示, 类似IDLE。作者: qfcy (七分诚意) 作者CSDN主页:https://blog.csdn.net/qfcy_/版本:1.3.4 (改进: 新增了显示/隐藏菜单栏功能, 在二进制模式下可提高速度。
修复了保存配置的bug。)源代码:https://github.com/qfcy/Python/blob/main/pynotepad.pyw程序原文链接:https://blog.csdn.net/qfcy_/article/details/118399185效果图:
Package: py-notes
notes-cliA Python based CLI for taking notes from your terminal.This application was built usingClick, which is a wonderful Python package for building interactive CLIs.InstallationPIPWe're published toPyPI, which means you can install this package directly through Pip.pip install py-notesLocalYou must first clone this repository with:git clone https://github.com/Saakshaat/notes-cliThen, aftercding into its directory, install the executable on your system with:pip install --editable .If you don't want to have this installed globally, you can run it in a virtual environment. To create a virtual env, go to the repo's directory and on the top-level runvirtualenv venv. venv/bin/activatepip install --editable .RunningAfter installing the CLI successfully, you can run it from whichever environment you installed it in withnotes <command>The application uses a SQLite database to save notes in memory and maintains a threshold of (currently) 25 notes.When the total number of notes reaches the threshold, it deletes the oldest note in memory before adding the new note.
Package: pynoti
pynoti------easy to use python wrapper for notify-send program.How to install---------------```shellpip install pynoti```Usage-----```pythonfrom pynoti import notinoti.Noti("test title", "test message").run()noti.Noti("test title", "test message", iconpath='path/to/your/icon/path.png').run()noti.Noti("test title", "test message", ulevel=noti.CRITICAL).run()noti.Noti("test title", "test message", extime=2).run()noti.Noti("test title", "test message", appname='test app name').run()```Example--------![example1](./img/example.png)Contributors------------* Leonardo Javier Esparis Meza <leoxnidas.c.14@gmail.com>License-------Copyright (c) 2017 Leonardo Javier Esparis Meza and individual contributors. All rights reserved.Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:1. Redistributions of source code must retain the above copyright notice,this list of conditions and the following disclaimer.2. Redistributions in binary form must reproduce the above copyrightnotice, this list of conditions and the following disclaimer in thedocumentation and/or other materials provided with the distribution.3. Neither the name of Django nor the names of its contributors may be usedto endorse or promote products derived from this software withoutspecific prior written permission.THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Package: pynotice
IntroductionREADME:English|中文pynotice is a python3 module that can play a sound or send an email to inform you when your function finishes or goes wrong.FeaturesUse default or custom wav fileSend email with an attachment of pictures or txt filespython decoratorNo need specifying smtp server address, of course you can do itInstallationonly for python3pip install pynoticeUsage-Sound- [duplicated]inform you by playing sound when your function finishesfrompynotice.sound.noticeimportnoticeOnFinish@noticeOnFinish()deffoo(name="foooo"):# your functionreturnnameret=foo()print(ret)inform you by playing sound when your function goes wrongfrompynotice.sound.noticeimportnoticeOnException,noticeOnFinish@noticeOnFinish()@noticeOnException()deffoo(name="aaa"):returnname-Email-Firstly, please confirm you have opened SMTP functions in your email. And the method depends on your email server (For @163.com and @gmail.com you need to set your app private password)gmail SMTP authorization|qq email SMTP authorizationinform you of your function result by sending an email when your function finishesfrompynotice.mailimportnoticeOnFinishimportnumpyasnpsender="xxx@gmail.com"code="xxxxxxxxxxxxxxxx"# SMTP authorization codereceiver="xxx@foxmail.com"# list or str# you can also send an attachments@noticeOnFinish(sender,code,receiver,attachments=['demo.txt'])deffoo(name="aaa"):x=np.array([[1,2,3],[2,3,4]])foriinrange(100):ifi%20==0:print(i)np.savetxt("demo.txt",x)returnx,[1,23,5,4],nameret=foo()print(ret)inform you of the Exception by an email when the function throws exceptionsfrompynotice.mailimportnoticeOnException,noticeOnFinishsender="xxx@qq.com"code="xxxxxxxxxxxxxxxx"# SMTP authorization codereceiver="xxx@foxmail.com"# list or str@noticeOnFinish(sender,code,receiver,attachments=[])@noticeOnException(sender,code,receiver)deffoo(name="aaa"):return"ccc"re=foo()Includemoduledescriptionfiletypeget the file formatsimpleaudioplay the wav audiozmailsend emails simplyResourceTwo wav sounds in module are downloaded fromhere. I have thought I can diy with my ipad, but I'm a green hand in that so ...
Package: pynotices
pynotices是什么?是一个python3开发的发送信息模块支持内容？支持非ssl和ssl的EMAIL钉钉webhook机器人企业微信自定义应用企业微信webhook机器人飞书webhook机器人####TODO短信平台(主流)、微信方糖 、telegram安装一步到胃pipinstallpynotices多步安装需要先安装requests模块pipinstallrequests下载alter.py到你的项目，建议alter.py的目录有一个__init__.py的空白文件使用钉钉webhook机器人importpynoticedtack=pynotice.DinTalk("e897e8fec**********")#webhook地址，只需要webhook=后面的值ret=dtack.sendmessage("13996438187","消息")#发送的用户，以及发送的消息，多用户使用"user1|user2|user3"ifret["errcode"]:print("发送成功")else:print(ret["errmessage"])EMAILimportpynoticesmtp=pynotice.Email("发件人账号","发件人密码",smtp="smtp地址",smtp_port="smtp端口 int",smtp_ssl=False)#默认ssl是Trueret=smtp.sendmessage("收件人账号",'标题','内容')ifret["errcode"]:print("发送成功")else:print(ret["errmessage"])企业微信自定义应用importpynoticecorpid="企业的ID"secret="自定义应用secret"agentid="自定义应用agentid"webcat=pynotice.WeiXin(corpid,secret,agentid)ret=webcat.sendmessage("消息接受者（在企业微信后台查看的账号）","发送内容")ifret["errcode"]:print("发送成功")else:print(ret["errmessage"])企业微信webhook机器人importpynoticewxbot=pynotice.weixinbot("eb0507ea-264b-***-******")#webhook地址，只需要webhook=后面的值ret=wxbot.sendmessage("消息")#发送的消息ifret["errcode"]:print("发送成功")else:print(ret["errmessage"])飞书webhook机器人importpynoticefsbot=pynotice.FeiShu("eb0507ea-264b-***-******")#webhook地址，只需要webhook=后面的值ret=fsbot.sendmessage("消息")#发送的消息ifret["errcode"]:print("发送成功")else:print(ret["errmessage"])