Saravanan666/pypi-org huggingface dataset:
Package: tag_wrap
tag_wrapA simple tag and attribute generation tool.PurposeDeveloped to simplify the generation of HTML and XML content.UsageSyntax:wrap(tag_name,optional_attribute1="here",optional_attributeN="here,content_to_be_wrapped)You may specify any number of attributes and any number of items to wrap as well
as nesting tags themselves.Examplesimport tag_wrapHTML Paragraphtag_wrap.wrap('p',"This is aparagraph.")Produces:<p>This is aparagraph.</p>Nested HTML with attributes and a nested bodytag_wrap.wrap('html',lang="en-US",wrap('body','Body contenthere'))Produces:<htmllang="en-US"><body>Bodycontenthere</body></html>AuthorsJosh Whetton
Package: tah-example-pkg
IntroductionTODO: Give a short introduction of your project. Let this section explain the objectives or the motivation behind this project.Getting StartedTODO: Guide users through getting your code up and running on their own system. In this section you can talk about:Installation processSoftware dependenciesLatest releasesAPI referencesBuild and TestTODO: Describe and show how to build your code and run the tests.ContributeTODO: Explain how other users and developers can contribute to make your code better.If you want to learn more about creating good readme files then refer the followingguidelines. You can also seek inspiration from the below readme files:ASP.NET CoreVisual Studio CodeChakra Core
Package: tahoma-gpt
Tahoma-GPT[UP TO DATE] tahoma_gpt is an add-on fortahoma by pzim-devdata, designed to control Somfy Tahoma devices using ChatGPT and provide help with tahoma by pzim-devdata.FeaturesControl Somfy Tahoma devices with a simple Python 3 API.Create scripts or shortcuts to control your house from a domestic server or your computer.Integrate Somfy's products with other Matter-compatible devices using this API.Works with Somfy Connectivity Kit, Connexoon, Cozytouch, and more.Supports various Somfy devices: alarm, shutter, plug, heater, sensors, scenes, and more.Compatible with Windows and Linux operating systems.Fully functional with ChatGPT.Easy Installation Process for Tahoma and Tahoma_GPTInstall tahoma_gptpipinstalltahoma_gptConfigure tahomaRuntahoma -cto configure tahoma.Usetahoma -gto obtain further information. See thetahoma PyPI projectfor details.Modify tahoma_gpt.pyLocate the tahoma_gpt.py file on your computer and modify it using a text editor.Replace the API key for OpenAI and adjust your model and parameters if necessary.Launch tahoma_gptRuntahoma_gptto start a conversation.Alternatively, you can execute commands as arguments, such astahoma_gpt could you please open the shutter in the kitchen?.By following these steps, Tahoma and Tahoma_GPT will be installed on your Linux or Windows system.For more information about tahoma.py, refer to the original Tahoma GitHub repositoryhere.Supported Devices:Somfy Connectivity KitSomfy Connexoon IOSomfy Connexoon RTSSomfy TaHomaSomfy TaHoma BeeconSomfy TaHoma SwitchThermor CozytouchAnd more...For additional supported devices, please inquire on theTahoma_GPT GitHub Issuespage.
Package: tahrir-api
Tahrir-APIAPI for interacting with the Tahrir database.  Based on theTahrirdatabase model written byRalph
Bean. There are two classes that can be used
in this module. The first is theTahrirDatabaseclass located intahrir_api.dbapiand the second is the database model located intahrir_api.model. TheTahrirDatabaseclass is a high level way to
interact with the database. The model is used for a slightly more low level way
of interacting with the database. It allows for custom interactions with the
database without having to use theTahrirDatabaseclass.Creating a BadgeThis is an example of creating a badge via Tahrir-API:fromtahrir_api.dbapiimportTahrirDatabasedb=TahrirDatabase('backend://badges:badgesareawesome@localhost/badges')origin='http://foss.rit.edu/badges'issuer_name='FOSS@RIT'org='http://foss.rit.edu'contact='foss@rit.edu'issuer_id=db.add_issuer(origin,issuer_name,org,contact)badge_name='fossbox'image='http://foss.rit.edu/files/fossboxbadge.png'desc='Welcome to the FOSSBox. A member is you!'criteria='http://foss.rit.edu'db.add_badge(badge_name,image,desc,criteria,issuer_id)Awarding a BadgeThis is an example of awarding a badge via Tahrir-API:fromtahrir_api.dbapiimportTahrirDatabasedb=TahrirDatabase('backend://badges:badgesareawesome@localhost/badges')badge_id='fossbox'person_email='person@email.com'issued_on=Nonedb.add_person(person_email)db.add_assertion(badge_id,person_email,issued_on)
Package: tahun_baru
Aplikasi menghitung waktu mundurAplikasi ini dibuat untuk menghitung waktu mundur tahun apa sajakhususnya untuk menghitung mundur tahun baru.Instalasipip install tahun_baruMenjalakan aplikasiSetelah instalasi selesai ikuti perintah berikuttahun_baru-f2024-01-10jika ingin menjalan aplikasi kamu harus memberikan argumen -f berupa format tahun.Untuk mendapatkan informasi lebih lanjut ikuti perintah berikuttahun_baru--helpPengembangJika kesulitan dalam mengerjakan proyek, mengolah data atau mungkin tertarik dengan konten sayabisa hubungi melalui :Instagram :gro_hariFacebook :gro_hariGithub :gro_hari
Package: tai
This module provides some technical indicators for analysing stocks.Description and featuresDescriptionThis module provides some technical indicators for analysing stocks.When I can I will add more.If anyone wishes to contribute with new code or corrections/suggestions, feel free.This module was done and tested under Windows with Python 2.7.3 and numpy 1.6.1.FeaturesRelative Strength Index (RSI), ROC, MA envelopes
Simple Moving Average (SMA), Weighted Moving Average (WMA), Exponential Moving Average (EMA)
Bollinger Bands (BB), Bollinger Bandwidth, %BInstallationInstallation$pipinstalltaiResources and contributingResourcesRepository PyPIDocumentation PyPIRepository GithubDocumentation Read the DocsContributingIf Other repository above is Github or compatible, follow these guidelines for contributing:Fork therepository.Make a branch of master and commit your changes to it.Ensure that your name is added to the end of the AUTHORS.rst file using the format:Name <email@domain.com>Submit a Pull Request to the master branch.
Package: tai5-uan5-gian5-gi2-hok8-bu7
臺灣言語服務本專案提供一般人可以用臺灣母語的資訊技術，像是正規化翻譯、語音合成等Web-based服務，可以參考網頁展示，或是加入我們hackpad的討論。本專案用臺灣言語資料庫的格式來存取語料，
並使用臺灣言語工具的parse、模型訓練等功能。wiki有更詳細的說明。相關專案臺灣言語工具母語parser、寫法轉換、…功能。翻譯、語音辨識、語音合成等工具整合。
Package: tai5-uan5_gian5-gi2_phing5-tai5
臺灣言語平臺是臺灣言語資料庫的編輯後端API介面，
前端網頁藉由GET/POST，將資料傳來後端主機，
主機並以json的格式回傳。感謝您的使用與推廣～～勞力！承蒙
Package: tai64n
A module to convert a hex encoded tai64n string to a datetime.datetime object and
to convert between TAI and UTC standard time.TAI, TAI64, TAI64nTAI stands for Temps Atomique International, the current international real-time standard. One TAI second is defined as the duration of 9192631770 periods of the radiation corresponding to the transition between the two hyperfine levels of the ground state of the cesium atom.http://cr.yp.to/libtai/tai64.html#tai64nModule Functionsdecode_tai64n("400000004a3239350292c294")converts a 16 or 24 bytes long hex TAI64(n) string to a datetime.datetime UTC objectutc2tai(datetime.datetime.now())converts datetime.datetime UTC object to a datetime.datetime TAI object
Package: tai-chi-engine
Tai-Chi EnginePowerful deep learning for civilians太极引擎深度学习： 强大、多模态、灵活、平民化SeeDocumentation看文档Essence of the Tai-Chi EngineClose to state-of-the-art Deep learning, friendly to office folks, all coding-free, clicks away.Flexible, supporting multiple kinds of data (image, text, category, multi-category, etc), multiple x at the same time.Which columns to be x? Which column to be y? You can decide and play, see if the AI finds out how to guess.Our big pitch 🎁If you're acoding muggle- play with the engine, you'll understand ideas around Deep Learning, and have good model.If you're apro- it's still wildly fun to try new models in 2 minutes' click, especially you have around a dozen columns.Playing Tai-Chi EngineFirst, tell me you are already in a jupyter notebook environment.Or just using the free kaggle kernel,example hereOr try our colab tutorial:Open up a table, a pandas dataframe, from excel or from csv file or from SQL database, dosn't matter.importpandasaspddf=pd.read_csv('your_data.csv')Then, you can use the following code to play with the engine.fromtai_chi_engineimportTaiChiEngine# load the engineengine=TaiChiEngine(df,project="./where/to_save/your_model")# start the playingengine()Good to go! 🎸Installation 📦Default installation:pipinstalltai-chi-engineRun App on Trained Model 🚀You can build prototype App (Based onstreamlit) based on trained project, seeapppart of this library.ALL kinds of projects, onlyone wayand onlyfew linesto start the app.Links 🪁The github repository ishereFor Developers:How frontend part of the engine works?See here
Package: taichi-glsl
Taichi GLSL is an extension library of theTaichi Programming Language, which provides a set of useful helper functions including but not limited to:Handy scalar functions likeclamp,smoothstep,mix,round.GLSL-alike vector functions likenormalize,distance,reflect.Well-behaved random generators includingrandUnit3D,randNDRange.Handy vector and matrix initializer:vecandmat.Handy vector component shuffle accessor likev.xy.Handy field sampler includingbilerpandsample.Useful physics helper functions likeboundReflect.Shadertoy-alike inputed GUI base classAnimation.[Clike me for documentation][Clike me for GitHub repo]
Package: taiconvert
TAIConvertThis CLI can be used to easily convert TavernAI character images to JSON for the different pygmalion Web-UIs.IndexInstallationUsageConversionExtractionInstallationInstall this tool usingpipx:$pipxinstalltaiconvertNormalpipinstallation is also possible:$pipinstalltaiconvertYou can also used the pre-built pyinstaller binary from thereleasespage.UsageFor help, run:$taiconvert--helpYou can also use:$python-mtaiconvert--helpConversionTo convert a single image, run:$taiconvertconvert<path/to/image>The output will be written to<imagename>.pygmalion.jsonin the same directory as the image.To convert multiple images, run:$taiconvertconvert<path/to/image1><path/to/image2><path/to/image3>...ExtractionTo extract the character json from a TavernAI character image file, run:$taiconvertextract<path/to/image>The output will be written to<imagename>.tavernai.jsonin the same directory as the image.To extract multiple images, run:$taiconvertextract<path/to/image1><path/to/image2><path/to/image3>...DevelopmentTo contribute to this tool, first checkout the code. Then create a new virtual environment:$pipxinstallvirtualenv
$cdtaiconvert
$virtualenv.venv
$.venv/Scripts/activateNow install the dependencies and install the pre-commit hooks:$pipinstall-e'.[dev]'$pre-commitinstall
Package: taiga-sprint-printer
📃 A simple tool for printing your sprint from TaigaInstall🐍 You needPython3to run this programpip install taiga-sprint-printerAnd launch it from the command linesprint-printerSet the color for user stories and tasksTaiga sprint printer has two default colors, 🔴redfor user stories
and 🔵bluefor tasks. If you want to change these values run:sprint-printer colorsReset account configurationTaiga Sprint Printer asks you the server location and your username only
the first time. If you want to change these settings launch
sprint-printer with thenewoption:sprint-printer newContributeFeel free to send suggestions, open issues and create a PR to improve
this software!If you want to start developing, create a virtualenv with Python3 and
install requirementspip install -r requirements-dev.txtLicenseMIT - Lotrèk 2018
Package: tail
tail文件tail工具。引入“偏移量文件”记录文件读取信息，支持文件内容断续读取。安装pip install tail安装的命令pytail注意：在python模块、方法中，均使用tail名称。tail是linux的常用命令，一般发行版中必然都已经安装。提供的console程序，命名为pytail，防止这种冲突。命令帮忙信息E:\tail>pytail --help
Usage: tail [OPTIONS] FILENAME

  文件tail工具。引入“偏移量文件”记录文件读取信息，支持文件内容续读。

Options:
  -o, --offset-file TEXT          偏移量文件路径。默认为：在文件名后加.offset后缀。
  -x, --read-from-end             如果不存在偏移量文件的话，指定该参数后则从文件的最后开始读取；不指定该参数的话则从文件开
                                  始读取。
  -e, --file-encoding TEXT        文件读取编码，默认为utf-8。
  -p, --backup-patterns TEXT      文件可能通过logrotate等方式被备份出来，通过inode识别这些文件，先读取完备份
                                  文件中的剩余内容，再读取新文件内容。
  -s, --sleep-interval INTEGER    读完文件后，休息一段时间后再续读。休息时间单位为：秒，默认为1秒。
  -u, --update-offset-every-n INTEGER
                                  每读取指定行后，更新偏移量文件。默认为100行。
  -n, --non-blocking              指定该参数后，表示读取完文件内容后直接退出，同时sleep-
                                  interval参数无效；不指定的话则休眠sleep-interval秒后重新续读。
  --help                          Show this message and exit.命令安全案例E:\tail>type a.txt
line 1
line 2
line 3

E:\tail>pytail -n a.txt
line 1
line 2
line 3

E:\tail>echo line 4 >> a.txt

E:\tail>echo line 5 >> a.txt

E:\tail>pytail -n a.txt
line 4
line 5读取a.txt全部文件内容并显示，读完后退出，生成a.txt.offset偏移量文件。在a.txt中追加line 4、line 5两行内容。根据a.txt.offset偏移量文件进行续读，显示第4、5两行。tail模块公开的类、方法TailReader 核心文件处理类。print_line 行处理方法。在屏幕上打印行，文件readline后的带上的\r\n字符。tail TailReader的包装方法。
Package: tailbone-theo
This is an experimental project, as of this writing.  Its purpose is 2-fold:hopefully provide a useful app for managing special/case orders for customerseither way, hopefully provide a good working example of the codeThis may also attempt certain aspects of “curbside” and/or “delivery” orders at
some point, we’ll see.  Nobody should be holding their breath maybe.See theRattail Projectfor more info.
Package: taileff
taileff makes it easier to read the output of tail -f, using features such as:syntax highlightingline numberingseparating linesgrouping separatorsindentation (only for SQL atm)Installation$pipinstalltaileffUsage$tailf<file>[-s-i-n-l<language>-g<seconds>]$tailf--helpExampleSeparatinglines,linenumbering,SQLindentation,andSQLsyntaxhighlighting$tailf-sin--langsqldjango_sql.logLicenceBSD
Package: tailer
Python tail is a simple implementation of GNU tail and head.It provides 3 main functions that can be performed on any file-like object that supportsseek()andtell().tail- read lines from the end of a filehead- read lines from the top of a filefollow- read lines as a file growsIt also comes withpytail, a command line version offering the same functionality as GNU tail. This can be particularly useful on Windows systems that have no tail equivalent.Tailer on GitHubTailer on PypiInstallationInstall withpiporeasy_install.pip install tailerExamplesimport tailer
f = open('test.txt', 'w')
for i in range(11):
    f.write('Line %d\\n' % (i + 1))
f.close()Tail# Get the last 3 lines of the file
tailer.tail(open('test.txt'), 3)
# ['Line 9', 'Line 10', 'Line 11']Head# Get the first 3 lines of the file
tailer.head(open('test.txt'), 3)
# ['Line 1', 'Line 2', 'Line 3']Follow# Follow the file as it grows
for line in tailer.follow(open('test.txt')):
    print lineRunning TestsTailer currently only has doctests.Run tests with nose:nosetests --with-doctest src/tailerRun tests with doctest:python -m doctest -v src/tailer/__init__.py
Package: tailer3
Python tail is a simple implementation of GNU tail and head.It provides 3 main functions that can be performed on any file-like object that supportsseek()andtell().tail- read lines from the end of a filehead- read lines from the top of a filefollow- read lines as a file growsIt also comes withpytail, a command line version offering the same functionality as GNU tail. This can be particularly useful on Windows systems that have no tail equivalent.Tailer on GitHubTailer on PypiInstallationInstall withpiporeasy_install.pip install tailerExamplesimport tailer
f = open('test.txt', 'w')
for i in range(11):
    f.write('Line %d\\n' % (i + 1))
f.close()Tail# Get the last 3 lines of the file
tailer.tail(open('test.txt'), 3)
# ['Line 9', 'Line 10', 'Line 11']Head# Get the first 3 lines of the file
tailer.head(open('test.txt'), 3)
# ['Line 1', 'Line 2', 'Line 3']Follow# Follow the file as it grows
for line in tailer.follow(open('test.txt')):
    print lineRunning TestsTailer currently only has doctests.Run tests with nose:nosetests --with-doctest src/tailerRun tests with doctest:python -m doctest -v src/tailer/__init__.py
Package: tailf
tailftail -ffunctionality for your python code. Track file appends and
truncations.Python3.6+ is supported.Examplespipinstalltailf==0.2.5importtailfimporttimewithtailf.Tail(filename)astail:whileTrue:foreventintail:ifisinstance(event,bytes):print(event.decode("utf-8"),end='')elifeventistailf.Truncated:print("File was truncated")else:assertFalse,"unreachable"# currently. more events may be introduced latertime.sleep(0.01)# save CPU cycles# this example requires python3.7importasyncioimporttailfasyncdefmain():withtailf.Tail(filename)astail:whileTrue:event=awaittail.wait_event()ifisinstance(event,bytes):print(event.decode("utf-8"),end='')elifeventistailf.Truncated:print("File was truncated")else:assertFalse,"unreachable"# currently. more events may be introduced laterasyncio.run(main())LimitationsTruncation detection is unreliable in general. It is primarily tracked by
file size decrease, which sometimes can be unreliable. In cases when a file
grows large and is truncated seldom, this is sufficient.Asynchronous tracking is done at timer events (0.01 seconds currently).
Inotify support could solve this issue on linux. Feel free to suggest other
solutions.
Package: tailhead
.. image:: https://travis-ci.org/GreatFruitOmsk/tailhead.svg?branch=master======tailhead======Python tail is a simple implementation of GNU tail and head.It provides 3 main functions that can be performed on any file-like object that supports ``seek()`` and ``tell()``.* ``tail`` - read lines from the end of a file* ``head`` - read lines from the top of a file* ``follow`` - read lines as a file growsIt also comes with ``pytail``, a command line version offering the same functionality as GNU tail. This can be particularly useful on Windows systems that have no tail equivalent.- `tailhead on GitHub <tailhead>`_- `tailhead on Pypi <http://pypi.python.org/pypi/tailhead>`_Installation============Install with ``pip`` or ``easy_install``.::pip install tailheadExamples========::import tailheadf = open('test.txt', 'w')for i in range(11):f.write('Line %d\\n' % (i + 1))f.close()Tail----::# Get the last 3 lines of the filetailhead.tail(open('test.txt'), 3)# ['Line 9', 'Line 10', 'Line 11']Head----::# Get the first 3 lines of the filetailhead.head(open('test.txt'), 3)# ['Line 1', 'Line 2', 'Line 3']Follow------::# Follow the file as it growsfor line in tailhead.follow_path('test.txt'):if line is not None:print(line)else:# sleepRunning Tests=============Tailer currently only has doctests.Run tests with nose::nosetests --with-doctest tailheadRun tests with doctest::python -m doctest -v tailhead/__init__.py
Package: tail-jsonl
tail-jsonlTail JSONL LogsBackgroundI wanted to find a tool that could:Convert a stream of JSONL logs into a readablelogfmt-like output with minimal configurationShow exceptions on their own lineI investigated a lot of alternatives such as:humanlog,lnav,goaccess,angle-grinder,jq,textualog, etc. but nothing would both cleanly format the JSONL data and show the exception.InstallationInstall withpipxpipxinstalltail-jsonlUsagePipe JSONL output from any file, kubernetes (such asstern), Docker, etc.# Example piping input in shellecho'{"message": "message", "timestamp": "2023-01-01T01:01:01.0123456Z", "level": "debug", "data": true, "more-data": [null, true, -123.123]}'|tail-jsonl
cattests/data/logs.jsonl|tail-jsonl# Optionally, pre-filter or format with jq, grep, awk, or other toolscattests/data/logs.jsonl|jq'.record'--compact-output|tail-jsonl# An example stern command (also consider -o=extjson)sternenvvars--contextstaging--containergateway--since="60m"--outputraw|tail-jsonl# Or with Docker Compose (note that awk, cut, and grep all buffer. For awk, add '; system("")')dockercomposelogs--follow|awk'match($0, / \| \{.+/) { print substr($0, RSTART+3, RLENGTH); system("") }'|tail-jsonlConfigurationOptionally, specify a path to a custom configuration file. See an example configuration file at:tests/config_default.tomlecho'...'|tail-jsonl--config-path=~/.tail-jsonl.tomlProject StatusSee theOpen Issuesand/or theCODE_TAG_SUMMARY. For release history, see theCHANGELOG.ContributingWe welcome pull requests! For your pull request to be accepted smoothly, we suggest that you first open a GitHub issue to discuss your idea. For resources on getting started with the code base, see the below documentation:DEVELOPER_GUIDESTYLE_GUIDECode of ConductWe follow theContributor Covenant Code of Conduct.Open Source StatusWe try to reasonably meet most aspects of the "OpenSSF scorecard" fromOpen Source InsightsResponsible DisclosureIf you have any security issue to report, please contact the project maintainers privately. You can reach us atdev.act.kyle@gmail.com.LicenseLICENSE
Package: tailk
TailKIntroductionTaikKis a small utility to tail logs from multiple Kubernetes pods.InstallationTailKrequires Python 3.8+ andkubectlavailable in your shell.Using pip$ pip install tailkUsing Homebrew$ brew update
$ brew tap ffaraone/birre
$ brew install ffaraone/birre/tailkUsageBasic usage$ tailk pattern1 [...]wherepattern1is any valid Python regular expression.Multiple patterns are combined with a logicalOR.Advanced usageYou may want to highlight portions of the log. In this case you can provide highlighting patterns in the following way:$ tailk pattern1 --highlight hl-pattern-1 [--highlight hl-pattern-2]wherehl-pattern-1is any valid Python regular expression.You can also customize the style for highlight. In this case your patterns must be specified using named capturing groups$ tailk pattern1 --highlight "(?P<hello>HELLO)" --style "hello:underline magenta"LicenseTailKis released under theApache License Version 2.0.
Package: tailng
tailngPython project: Like "tail -F", but it always follow the newest fileUsageExamples$ tailng
Now following testfile1 from position 108
1 4 Fri Dec 22 10:02:34 AM UTC 2023
1 5 Fri Dec 22 10:02:35 AM UTC 2023
Now following testfile2 from position 0
2 1 Fri Dec 22 10:02:36 AM UTC 2023
2 2 Fri Dec 22 10:02:37 AM UTC 2023
2 3 Fri Dec 22 10:02:38 AM UTC 2023
2 4 Fri Dec 22 10:02:39 AM UTC 2023
2 5 Fri Dec 22 10:02:40 AM UTC 2023
Now following testfile3 from position 0
3 1 Fri Dec 22 10:02:41 AM UTC 2023
3 2 Fri Dec 22 10:02:42 AM UTC 2023
3 3 Fri Dec 22 10:02:43 AM UTC 2023InstallInstall from Python Package Indexpip3 install tailngInstall from sourcegit clone https://github.com/thordreier/tailng.git
cd tailng
git pull
pyproject-build
pip3 install $(ls dist/tailng-*-py3-none-any.whl | tail -n1) --force-reinstall
Package: tailon
NoticeThis project is in maintenance mode. Please consider using the newtailon,
which is currently under slow, but steady development. The new version comes
with the following improvements:Fully self-contained executables. Just download (or build) and run.Tiny footprint - the tailon executable sits at 2.5MB in size and uses roughly 10MB of RSS.More responsive user-interface.While some features are missing, it is already usable to a large degree.TailonTailon is a self-hosted web application for looking at and searching
through log files. It is little more than a fancy web wrapper around
the following commands:tail -f
tail -f | grep
tail -f | awk
tail -f | sedDocumentation:http://tailon-legacy.readthedocs.org/en/latest/Development:https://github.com/gvalkov/tailon-legacyPackage:http://pypi.python.org/pypi/tailonChangelog:http://tailon-legacy.readthedocs.org/en/latest/changelog.html
Package: tailor
#Tailor
Tailor is a Django app that let’s you run Fabric commands via a web based API.###Running Tailor on a seperate host
Optimally, Tailor should be installed on different host than the target host.  In other words, a project running Tailor on Host1 will execute Fabric commands on Host2.###Running Tailor on the same host
Tailor can also run on the same host you want to run Fabric commands on.  However, caution must be exercised or Tailor could cause some funky behavior. For example, if a Fabric command deleted the very project running Tailor.#Docs
Check out the full documentation.http://readthedocs.org/docs/tailor/en/latest/