Saravanan666/pypi-org huggingface dataset:
Package: quollio-core
quollio-coreDescription (説明)This Python library collects advanced metadata like table to table lineage or anomaly record and ingests them to QDC.このPythonライブラリは、テーブル間のリネージやデータの統計値などのメタデータを取得し、データカタログのアセットに反映します。Prerequisite (前提条件)Before you begin to use this, you need to do the following.Add your assets to QDC with metadata agent.Issue client id and client secret on QDC for External API.このシステムを使用する前に、以下の手順を実行する必要があります。Metadata Agentを使用して、データカタログにアセットを登録する。外部API用の、データカタログ上で認証に必要なクライアントIDとシークレットを発行する。Install (インストール)Install with the following command.下記のコマンドでインストールしてください。$ pip install quollio-coreTo see available commands and options, please run the following command. (ex: Snowflake)コマンドやオプションの詳細については、下記のコマンドを実行してください。(例: Snowflake)$ python3 -m quollio_core.snowflake -hThen run commands with the options provided.その後、オプションを指定してコマンドを実行してください。Command (コマンド)Description (概要)build_viewBuild views for lineage and statistics.リネージと統計情報を生成するビューを作成します。load_lineageLoad lineage from created views to Quollio.作成したビューからリネージデータをQuollioにロードします。load_statsLoad statistics from created views to Quollio.作成したビューから統計情報をQuollioにロードします。Development (開発)Install (インストール)Create.envfile in the root level of repository and set the following environment variables.リポジトリのルートレベルに.envファイルを作成し、下記の環境変数を設定してください。AWS_REGION=[AWS region]
IMAGE_NAME=[Container image name you want to use]To install local packages, run the following command.ローカルパッケージをインストールするには、下記のコマンドを実行してください。$ make installBuild (ビルド)To build Docker image with local files, run the following command.ローカルファイルでDocker imageをビルドするには、下記のコマンドを実行してください。$ make build-localUnit test (ユニットテスト)To run unit tests, run the following command.ユニットテストを実行するには、下記のコマンドを実行してください。$ make testDocs (ドキュメント)To auto generate docs for dbt, run the following command. (ex. Snowflake)dbtのドキュメントを自動生成するには、下記のコマンドを実行してください。(例: Snowflake)$ cd quollio_core/dbt_projects/snowflake
$ dbt-osmosis yaml refactor \
--force-inheritance \
--project-dir ./ \
--profiles-dir ./profiles \
--vars '{query_role: <snowflake role>, sample_method: SAMPLE(10)}'Push (プッシュ)The push command inMakefileis for pushing the image to ECR. If you want to push the image to other container registry, please change the command.Makefileのpushコマンドは、ECRにイメージをプッシュするためのものです。他のコンテナレジストリにイメージをプッシュする場合は、コマンドを変更してください。License (ライセンス)This library is licensed under the AGPL-3.0 License, but the dependencies are not licensed under the AGPL-3.0 License but under their own licenses. You may change the source code of the dependencies within the scope of their own licenses. Please refer topyproject.tomlfor the dependencies.このライブラリはAGPL-3.0ライセンスで保護されていますが、依存関係はAGPL-3.0ライセンスではなく、それぞれのライセンスで保護されています。依存関係のソースコードは、それぞれのライセンスの範囲内で変更することができます。依存関係については、pyproject.tomlを参照してください。
Package: quollio-data-profiler
quollio-data-profilerDescriptionThis system collects advanced metadata like table to table lineage or anomaly record and ingests them to QDC.PrerequisiteBefore you begin to use this, you need to do the following.Add your assets to QDC with metadata agent.Issue External API client id and client secret on QDC.InstallInstall with the following command.pip install quollio-data-profilerUsageHere is an example of creating a view for snowflake lineage. Please enter any values for <>.from quollio_data_profiler.repository.qdc import QDCExternalAPIClient
from quollio_data_profiler.repository.snowflake import SnowflakeConnectionConfig
from quollio_data_profiler.snowflake_lineage_profiler import execute


def view_build_only():
    company_id = "<company id issued by quollio.>"
    build_view_connection = SnowflakeConnectionConfig(
            account_id="<Snowflake account id. Please use the same id of metadata agent.>",
            account_role="<Role necessary for creating view in your account>",
            account_user="<user name>",
            account_password="<password>",
            account_warehouse="<compute warehouse>", 
    )
    qdc_client = QDCExternalAPIClient(
        client_id="<client id issued on QDC.>",
        client_secret="<client secret>",
        base_url="<base endpoint>",
    )
    execute(
        company_id=company_id,
        sf_build_view_connections=build_view_connection,
        qdc_client=qdc_client,
        is_view_build_only=True,
    )

if __name__ == "__main__":
    view_build_only()Please refer to the scripts in./examplesfor other usages.DevelopmentHow to testUnittestRunmake test
Package: quom
QuomQuom is a single file generator for C/C++.It resolves all included local headers starting with your main C/C++ file. This is also known as amalgamation.Afterwards, it tries to find the related source files and their headers and places them at the end of the main file
or at a specific stitch location if provided.At the end there will be one single file with all your header and sources joined together.Installationpip install --user quomRequires Python 3.7 or later.How to use itusage: quom [-h] [--stitch format] [--include_guard format] [--trim]
            input output

Single header generator for C/C++ libraries.

positional arguments:
  input                 Input file path of the main file.
  output                Output file path of the generated single header file.

optional arguments:
  -h, --help            show this help message and exit
  --stitch format, -s format
                        Format of the comment where the source files should be placed
                        (e.g. // ~> stitch <~). Default: None (at the end of the main file)
  --include_guard format, -g format
                        Regex format of the include guard. Default: None
  --trim, -t            Reduce continuous line breaks to one. Default: True
  --include_directory INCLUDE_DIRECTORY, -I INCLUDE_DIRECTORY
                        Add include directories for header files.
  --source_directory SOURCE_DIRECTORY, -S SOURCE_DIRECTORY
                        Set the source directories for source files.
                        Use ./ in front of a path to mark as relative to the header file.
  --encoding ENCODING, -e ENCODING
                        The encoding used to read and write all files.Simple exampleThe project:|-src/
|  |-foo.hpp
|  |-foo.cpp
|   -main.cpp
|-out/
    -main_gen.cppfoo.hpp#pragma onceintfoo();foo.cpp#include"foo.hpp"intfoo(){return0;}main.cpp#include"foo.hpp"intmain(){returnfoo();}The command:quom src/main.hpp main_gen.cppmain_gen.cppintfoo();intmain(){returnfoo();}intfoo(){return0;}Advanced exampleThe project:|-src/
|  |-foo.hpp
|  |-foo.cpp
|   -foobar.hpp
|-out/
    -foobar_gen.hppfoo.hpp#pragma once#ifndef FOOBAR_FOO_HPP#define FOOBAR_FOO_HPPexternintfoo;#endiffoo.cpp#include"foo.hpp"intfoo=42;foobar.hpp#pragma once#ifndef FOOBAR_HPP#define FOOBAR_HPP#include"foo.hpp"#endif#ifdef FOO_MAIN// ~> stitch <~#endifThe command:quom src/foobar.hpp foobar_gen.hpp -s "~> stitch <~" -g FOOBAR_.+_HPPfoobar_gen.hpp#pragma once#ifndef FOOBAR_HPP#define FOOBAR_HPPexternintfoo;#endif#ifdef FOO_MAINintfoo=42;#endifTake a look into theexamples folderfor more.
Package: quool
QuoolFinancial Data Analysis ToolkitThis toolkit provides a comprehensive suite of modules for financial data analysis, including web requests, data processing, and logging. Designed with ease of use and efficiency in mind, it's an ideal solution for analysts and developers working in financial data analytics.FeaturesRequest Module: Interfaces with various financial data APIs and web scraping for stock market information.Tool Module: A collection of utility functions for data parsing, logging, memory optimization, and more.Custom Logging: Enhanced logging capabilities for both console and file output with customizable formats.Modules1. Request ModuleHandles various types of web requests and interactions with APIs. It includes classes for:AkShare: Fetching financial data using the AkShare API.Em: Interacting with East Money (东方财富网) for financial data and analysis.StockUS: Accessing US stock market data and research reports.WeiXin: Interfacing with WeChat for functionalities like QR code-based login and notifications.2. Tool ModuleProvides utility functions and classes to support operations such as:Logger: Enhanced logging with configurable display options.Date Parsing: Converts date strings intopandas.Timestampobjects.Memory Optimization: Reduces memory usage of pandas DataFrames.InstallationTo use this toolkit, clone the repository to your local machine:bashCopy codegit clone https://github.com/ppoak/quoolUsageHere's a quick example of how to use theAkShareclass to fetch daily market data:pythonCopy codeimport quool.request as qr
daily_data = qr.AkShare.market_daily('600000', start='20200101', end='20201231')For logging:pythonCopy codeimport quool.tool import qt
logger = qt.Logger(name="MyLogger", level=logging.INFO, file="log.txt")
logger.info("This is an info message")ContributingContributions to improve this toolkit are welcome. Please fork the repository and submit a pull request with your changes.LicenseThis project is licensed underMIT License.
Package: quora
pyquora=======Note: parts of this library may be broken due to changes on Quora's end. Issues and pull requests welcome.----------------------------------------------------------------------------------------------------------|Build Status|A Python module to fetch and parse data from Quora.Table of Contents------------------  `Installation <#installation>`__-  `Usage <#usage>`__-  `Features <#features>`__-  `Contribute <#contribute>`__-  `Projects using ``pyquora`` <#projects-using-pyquora>`__Installation------------You will need `Python 2 <https://www.python.org/download/>`__.`pip <http://pip.readthedocs.org/en/latest/installing.html>`__ isrecommended for installing dependencies.Install using pip:::pip install quoraUsage-----User statistics~~~~~~~~~~~~~~~.. code:: pythonfrom quora import Useruser = User('Christopher-J-Su')# Get user activityactivity = user.activity# Do stuff with the parsed activity dataprint activity# Get user statisticsstats = user.stats# Take a ganderprint statsQuestions~~~~~~~~~.. code:: pythonfrom quora import Quora# Get question statisticsquestion = Quora.get_question_stats('what-is-python')# question is:# {#     'want_answers': 3,#     'question_text': u'What is python?',#     'topics': [u'Science, Engineering, and Technology', u'Technology', u'Electronics', u'Computers'],#     'question_details': None, 'answer_count': 1,#     'answer_wiki': '<div class="hidden" id="answer_wiki"><div id="ld_mqcfmt_15628"><div id="__w2_po3p1uM_wiki"></div></div></div>',# }Answer statistics~~~~~~~~~~~~~~~~~.. code:: pythonfrom quora import Quora# The function can be called in any of the following ways.answer = Quora.get_one_answer('http://qr.ae/6hARL')answer = Quora.get_one_answer('6hARL')answer = Quora.get_one_answer(question, author) # question and answer are variables# answer is:# {#     'want_answers': 8,#     'views': 197,#     'author': u'Mayur-P-R-Rohith',#     'question_link': u'https://www.quora.com/Does-Quora-similar-question-search-when-posing-a-new-question-work-better-than-the-search-box-ove',#     'comment_count': 1,#     'answer': '...',#     'upvote_count': 5# }# Get the latest answers from a questionlatest_answers = Quora.get_latest_answers('what-is-python')Features--------Currently implemented~~~~~~~~~~~~~~~~~~~~~-  User statistics-  User activity-  Question statistics-  Answer statisticsTo do~~~~~-  Detailed user information (followers, following, etc.; not juststatistics)
Package: quorabackup
============quora-backup============A syncing approach to backing up Quora answers, questions, votes, and follows. Rather than fetching your entire history of Quora activity all at once, quora-backup checks your recent Quora activity and saves only the new entries. **Run it regularly to maintain a full backup.** This not only allows backups to be performed faster and more frequently, but also makes less requests to Quora's servers and doesn't face request rate-limiting issues like some older backup techniques do. It supports backing up to **JSON and CSV**. More file formats and databases to come.Installation============You will need [Python 2](https://www.python.org/download/). [pip](http://pip.readthedocs.org/en/latest/installing.html) is recommended for installing dependencies.$ git clone https://github.com/csu/quora-backup.git$ cd quora-backup$ pip install -r requirements.txtInstalling without git----------------------For the less technical users who want to use quora-backup without installing git:1. [Download quora-backup](https://github.com/csu/quora-backup/archive/master.zip) and extract the files from the `.zip` archive2. Open a terminal or command prompt window and enter the folder using `cd`3. Run `pip install -r requirements.txt` (after installing Python and pip)Usage=====$ python backup.py Christopher-J-Su  # defaults to flat-file json backupsTo access the help for the options and arguments:$ python backup.py --helpUsage: backup.py [OPTIONS] USEROptions:-p, --path TEXT                 Specify a path at which to store thebackup files.-t, --type [answers|questions|upvotes|question_follows]Specify only one type of activity to bebacked up.-f, --format [json|csv]         Specify a format for the backup. Defaultsto JSON.--help                          Show this message and exit.                 Show this message and exit.Backup Formats==============To specify a format for your backup:$ python backup.py --format csv Christopher-J-SuFor a list of available backup formats, read the help (see [Usage](#usage) section).JSON Backup Details-------------------Your content will be stored in the following files, in whatever directory you run the above command in:answers.jsonquestions.jsonupvotes.jsonquestion_follows.jsonCSV Backup Details------------------Your content will be stored in the following files, in whatever directory you run the above command in:answers.csvquestions.csvupvotes.csvquestion_follows.csvThe resulting CSV output will have columns (fields/attributes) delimited by commas and rows (entries) delimited by new lines. The first row will be a header row, containing the names of the fields.Specifying an Activity======================You can also specify only one activity to be backed up. For instance, to only back up answers:$  python backup.py --type answers Christopher-J-Su
Package: quorachallenge
IntroductionThe framework for the Quora development challenges - supporting project description and testing.FeaturesIn Browser display of challenge description/requirementsautomated testing against pre-defined test datadisplay of pre-defined test datadata and description downloaded from central repositoryInstallationInstallation is very simple :$pipinstallquorachallengeTo upgrade an existing installation use$pipinstall--upgradequorachallengeGetting StartedSeeFull Documentationfor information on how to get started, and details of the full framework features.Further InformationFull DocumentationOn PyPi (Python Package Index)Source code on GitHubTroubleshooting & BugsNoteEvery care is taken to try to ensure that this code comes to you bug free.
If you do find an error - please report the problem on :GitHub IssuesBy email to :Tony FluryLicenseThis software is covered by the provisions ofMITLicense.BugsEvery care is taken to try to ensure that this code comes to you bug free.
If you do find an error - please report the problem on :GitHubor
by email to :Tony Flury
Package: quorapy
quorapy.. image::https://travis-ci.org/djunehor/quorapy.svg?branch=master:target:https://travis-ci.org/djunehor/quorapy:alt: Build Status.. image::http://hits.dwyl.io/djunehor/quorapy.svg:target:http://hits.dwyl.io/djunehor/quorapy:alt: HitCountIssues and pull requests welcome.A Python module to fetch and parse data from Quora.

Table of Contents
^^^^^^^^^^^^^^^^^


* `Installation <#installation>`_
* `Usage <#usage>`_
* `Features <#features>`_
* `Contribute <#contribute>`_

Installation
------------

You will need `Python 3.x <https://www.python.org/download/>`_ and `pip <http://pip.readthedocs.org/en/latest/installing.html>`_.

Install using pip: ``pip install quorapy``
Install via repo:


* Clone repor ``git clone https://github.com/djunehor/quorapy``
* Install requirements via ``pip install -r requirements.txt``
* Place quorapy in your project root folder

Usage
-----

.. code-block:: python

   from quorapy import Quora
   import os
   from quorapy.browser import Browser

   browser = Browser(os.getenv('LINUX'))
   quora = Quora(browser)

   # search for `Python`
   results = quora.search('Python')

   # Sample response:
   {  "answer_limit": 1,
     "data": [
       {
         "comments": [
           {
             "text": "Rather than giving you a boring step by step process of learning Python, I would share my personal journey about how I started learning Python.\nHere is my personal learning experience:\nWhat motivated me to start learn Python ?\nI fell in love with Python after reading a bunch of answers on Quora about how people were doing wonderful things with Python.\nSome were writing scripts to automate their Whats app messages.\nSome wrote a script to download their favourite songs,\nwhile some built a system to receive cricket score updates on their phones.\nAll of this seemed very excited to me and I finally dec...(more)",
             "user": {
               "datetime": "2019-09-29 02:52:30.692237",
               "name": "",
               "url": "https://www.quora.com/profile/Neha-Ahuja-178"
             }
           }
         ],
         "question": {
           "datetime": "2019-09-28 23:57:00",
           "text": "How should I start learning Python?",
           "user": {
             "name": "Quora Content Review",
             "url": "https://quora.com/profile/Quora-Content-Review"
           }
         },
         "url": "https://www.quora.com/How-should-I-start-learning-Python-1"
       }
     ],
     "load_user": null,
     "query": "python",
     "question_limit": 1
   }

Features
--------

Currently implemented
^^^^^^^^^^^^^^^^^^^^^


* Search

Contribute
----------

Check out the issues on GitHub and/or make a pull request to contribute!
Package: quoras
quorasA Python package to collect data from Quora.InstallationThe package is available on PyPI. Simply run the following command:pip install quorasSetupCreate a folder calledchrome_pathin the same directory as your source file. Download the ChromeDriver fromhereand place thechromedriver.exefile in the newly created folder.InitializeYou need to have account on Quora (or its language-specific forum) to collect data from it. Initialize the Quora class as following providing your credentials and language code. The language codes can be foundhere.quora = Quora ('email-address', 'password', 'language-code')UsageThis package allows you to call several functions. Search with keywords for questions, topics or users with functionsearch(keyword, type='post', scroll_count=1). Changetypeto'topic'or'user'to search topic RSS pages or user profiles respectively. You can pass a value forscroll_countto control how many scrolls the web browser will automatically do.posts = quora.search('ancient history', 'post', scroll_count=1)
topics = quora.search('finance', 'topic', scroll_count=1)
users = quora.search('Dipto Das', 'user', scroll_count=1)There are alternative ways to search posts or users. You can callsearch_posts(keyword, scroll_count=1)function that searches for posts with specified keyword without requiring explicitly indicating type. Similarly,search_users(keyword, scroll_count=1)function to search users containing keyword in their profile names. You can also pass a value forscroll_countto control how many scrolls the web browser will automatically do.questions = quora.search_posts('ancient history', scroll_count=1)
users = quora.search_users('Dipto Das', scroll_count=1)To search for Q/A threads with a specific user-assigned topic tag, you can simply callsearch_topic(topic, scroll_count=1)function as follows:topic_questions = search_topic('politics', scroll_count=5)If you already have an url, you can directly search details about that entry. If it is an url to a Q/A thread, then it will return the question, topics, answers, participating users, and Quora suggested related questions. If it is an url to a user profile, then it will return statistics about the user (e.g., number of public answers, number of questions, number of shares, number of posts, number of followings, and number of followers), and links to top (defined by Quora) posts from the user. To use this function, you have to callsearch_url(url)function.qathread_details = quora.search_url('https://bn.quora.com/আসামকে-কেন-সবাই-অসম-বলছে')
user_details = quora.search_url('https://www.quora.com/profile/Dipto-Das-1')Importantly, quoras can can retrieve the full text in an answer given its url. For that, you need to callget_full_answer(url)function as following:full_answer = quora.get_full_answer('https://bn.quora.com/বিজ্ঞানীদের-মধ্যেও-কি/answers/150612153')
Package: quoridor
Quoridor OnlineClient and server to play the strategy board gameQuoridor. It usespygame.InstallRequires: Python >=3.6.
To install, open a command prompt and launch:pip3installquoridorUseTo launch a server:python3-mquoridor.server[HOST][PORT][NUM_PLAYERS]HOST: IP addressPORT: port numberNUM_PLAYERS: number of players (2, 3 or 4)To launch a client:python3-mquoridor.client[HOST][PORT]HOST and PORT must be the same as the server.PlayYou can see the rules of the gamehere:To move your pawn, use the four arrow keysTo place a fence, click on the game boardAt the end of the game, you can restart a game. Just click on the "Restart" button.Pathfinding algorithmA pathfinding algorithm is used to check if a player is blocked or not. Thanks to thepython-pathfindingproject.ContactQuentin Deschamps:quentindeschamps18@gmail.comLicenseMIT
Package: quorra
A python wrapper aroundquorra.js, for creating reusable visualizations.InstallationCurrently, the best way to install this repository is directly from the source:gitclonehttp://github.com/bprinty/quorra-python.gitcdquorra-pythonpythonsetup.pyinstallUsageComing soon …In the meantime, here’s a snippit of how to generate a toy plot:>>>importquorra>>>importpandas>>>importrandom>>>data=pandas.DataFrame({>>>'x':[iforiinrange(0,10)],>>>'y':[round(random.gauss(100,10),2)foriinrange(0,10)],>>>'group':['data']*10>>>})>>>plt=quorra.line().data(>>>data,>>>x='x',>>>y='y',>>>group='group'>>>).xlabel('Index').ylabel('Random Value')>>>quorra.render(plt)Questions/FeedbackFile an issue in theGitHub issue tracker.
Package: quorum
A small extension framework for Flask to easy a series of simple tasks.Usageimportflaskimportquorumapp=quorum.load(name=__name__)@app.route("/",methods=("GET",))defindex():returnflask.render_template("index.html.tpl")if__name__=="__main__":quorum.run()Creation of background callables, that will execute every one second in a separate thread@quorum.background(timeout=1.0)defhello_recursive():print("hello word")Buildingsphinx-build-bhtmldocdoc/_buildDocumentationExtra documentation is available under our readthedocs.compage. Keep
in mind that some delay may exist between the current repositorymasterversion and the documentation.We need people to help documentation the code base if you know anyone please contact us.Build Automation