Saravanan666/pypi-org huggingface dataset:
Package: backwork-notifier-http
backwork-notifier-httpSupport for HTTP notifications onbackwork.InstallingYou can usepipto install this plug-in directly:$pipinstallbackwork-notifier-httpUsingAfter installing the plug-in you will be able to use the-n httpargument onbackworkcommands.$backwork--help
usage:backwork[-h][-nNOTIFIERS][--http-notifier-urlHTTP_NOTIFIER_URL][--http-notifier-bearerHTTP_NOTIFIER_BEARER][--http-notifier-basic-userHTTP_NOTIFIER_BASIC_USER][--http-notifier-basic-passHTTP_NOTIFIER_BASIC_PASS][--http-notifier-methodHTTP_NOTIFIER_METHOD][--http-notifier-dataHTTP_NOTIFIER_DATA][--http-notifier-paramsHTTP_NOTIFIER_PARAMS][--http-notifier-add-headersHTTP_NOTIFIER_ADD_HEADERS][--http-notifier-keyHTTP_NOTIFIER_KEY]{backup,restore,upload,show,download}...

positionalarguments:{backup,restore,upload,show,download}optionalarguments:-h,--helpshowthishelpmessageandexit-nNOTIFIERS,--notifyNOTIFIERSenableanotifier,itcanbeusedmultipletimes--http-notifier-urlHTTP_NOTIFIER_URLTheURLtobetargetedastheHTTPrequestendpoint--http-notifier-bearerHTTP_NOTIFIER_BEARERIfset,thisvaluewillbeusedasanAuthorizationBearertokenandsentwiththeHTTPrequest.--http-notifier-basic-userHTTP_NOTIFIER_BASIC_USERIfset,thisvalue(alongwith--http-notifier-basic-pass)willbeusedforbasicauthandsentwiththeHTTPrequest.--http-notifier-basic-passHTTP_NOTIFIER_BASIC_PASSIfset,thisvalue(alongwith--http-notifier-basic-user)willbeusedforbasicauthandsentwiththeHTTPrequest.--http-notifier-methodHTTP_NOTIFIER_METHODThemethodtobeusedfortheHTTPrequest.Choosefrom'post'or'get'.Defaultis'post'.--http-notifier-dataHTTP_NOTIFIER_DATAJSONstringsentasthe'data'objectwiththeHTTPrequest.Formatasthefollowing:'{"key": "value"}'--http-notifier-paramsHTTP_NOTIFIER_PARAMSJSONstringwithparamstobesentwiththeHTTPrequest.--http-notifier-add-headersHTTP_NOTIFIER_ADD_HEADERSJSONstringwithheaderstobesentwiththeHTTPrequest.Forauthorization,use--http-notifier-beareror--http-notifier-basic-user&--http-notifier-basic-pass.--http-notifier-keyHTTP_NOTIFIER_KEYThekeynamefortheerrormessage(frombackwork)thatisappendedtothe'data'(--http-notifier-data)object.Use'.'totraversetheJSONtree(upto6levelsdeep).Forexample,--http-notifier-key="data.error.message"is3levelsdeep.Bydefault,ifnokeyisspecifiedtheerrormessagewillnotbeappended.
Package: backwork-notifier-http-new
backwork-notifier-httpSupport for HTTP notifications onbackwork.InstallingYou can usepipto install this plug-in directly:$pipinstallbackwork-notifier-httpUsingAfter installing the plug-in you will be able to use the-n httpargument onbackworkcommands.$backwork--help
usage:backwork[-h][-nNOTIFIERS][--http-notifier-urlHTTP_NOTIFIER_URL][--http-notifier-bearerHTTP_NOTIFIER_BEARER][--http-notifier-basic-userHTTP_NOTIFIER_BASIC_USER][--http-notifier-basic-passHTTP_NOTIFIER_BASIC_PASS][--http-notifier-methodHTTP_NOTIFIER_METHOD][--http-notifier-dataHTTP_NOTIFIER_DATA][--http-notifier-paramsHTTP_NOTIFIER_PARAMS][--http-notifier-add-headersHTTP_NOTIFIER_ADD_HEADERS][--http-notifier-keyHTTP_NOTIFIER_KEY]{backup,restore,upload,show,download}...

positionalarguments:{backup,restore,upload,show,download}optionalarguments:-h,--helpshowthishelpmessageandexit-nNOTIFIERS,--notifyNOTIFIERSenableanotifier,itcanbeusedmultipletimes--http-notifier-urlHTTP_NOTIFIER_URLTheURLtobetargetedastheHTTPrequestendpoint--http-notifier-bearerHTTP_NOTIFIER_BEARERIfset,thisvaluewillbeusedasanAuthorizationBearertokenandsentwiththeHTTPrequest.--http-notifier-basic-userHTTP_NOTIFIER_BASIC_USERIfset,thisvalue(alongwith--http-notifier-basic-pass)willbeusedforbasicauthandsentwiththeHTTPrequest.--http-notifier-basic-passHTTP_NOTIFIER_BASIC_PASSIfset,thisvalue(alongwith--http-notifier-basic-user)willbeusedforbasicauthandsentwiththeHTTPrequest.--http-notifier-methodHTTP_NOTIFIER_METHODThemethodtobeusedfortheHTTPrequest.Choosefrom'post'or'get'.Defaultis'post'.--http-notifier-dataHTTP_NOTIFIER_DATAJSONstringsentasthe'data'objectwiththeHTTPrequest.Formatasthefollowing:'{"key": "value"}'--http-notifier-paramsHTTP_NOTIFIER_PARAMSJSONstringwithparamstobesentwiththeHTTPrequest.--http-notifier-add-headersHTTP_NOTIFIER_ADD_HEADERSJSONstringwithheaderstobesentwiththeHTTPrequest.Forauthorization,use--http-notifier-beareror--http-notifier-basic-user&--http-notifier-basic-pass.--http-notifier-keyHTTP_NOTIFIER_KEYThekeynamefortheerrormessage(frombackwork)thatisappendedtothe'data'(--http-notifier-data)object.Use'.'totraversetheJSONtree(upto6levelsdeep).Forexample,--http-notifier-key="data.error.message"is3levelsdeep.Bydefault,ifnokeyisspecifiedtheerrormessagewillnotbeappended.
Package: backwork-notifier-sentry
backwork-notifier-sentry [](https://travis-ci.org/IBM/backwork-notifier-sentry)Add support forSentrynotifications onbackwork.InstallingYou can usepipto install this plug-in directly from GHE:$pipinstallbackwork-notifier-sentryUsingAfter installing the plug-in you will be able to use the-n sentryargument onbackworkcommands.$backwork--help
usage:backwork[-h][-nNOTIFIERS][--sentry-dsnSENTRY_DSN]{backup,upload}...

positionalarguments:{backup,upload}optionalarguments:-h,--helpshowthishelpmessageandexit-nNOTIFIERS,--notifyNOTIFIERSenableanotifier,itcanbeusedmultipletimes--sentry-dsnSENTRY_DSNSentryDSNtobeusedfornotifications.Itcanalsobesetwiththeevironmentvariable$SENTRY_DSN.
Package: backwork-upload-cos
backwork-upload-cosAdd support for IBM Cloud Object Storage uploads tobackwork.InstallingYou can usepipto install this plug-in:$pipinstallbackwork-upload-cosUsingAfter installing the plug-in you will be able to use theupload cos,show cos, anddownload coscommands onbackwork.backwork upload cos$backworkuploadcos--help
usage:backworkuploadcos[-h][-eENDPOINT_URL][-sINSTANCE_ID][-uACCESS_KEY][-pSECRET_KEY][local_path]bucketremote_path

UploadafiletoCloudObjectStorage.

positionalarguments:local_pathpathinthelocalfilesystemofthefiletobeuploadedbuckettargets3bucketremote_pathpathonCloudObjectStoragewherethefilewillbestored

optionalarguments:-h,--helpshowthishelpmessageandexit-eENDPOINT_URL,--endpoint-urlENDPOINT_URLendpointURLoftheS3storage-sINSTANCE_ID,--instance-idINSTANCE_IDserviceinstanceid-uACCESS_KEY,--access-keyACCESS_KEYacccesskeyidofHMACcredentials-pSECRET_KEY,--secret-keySECRET_KEYsecretaccesskeyofHMACcredentialsbackwork show coslist backupsusage:backworkshowcos[-h][-eENDPOINT_URL][-sINSTANCE_ID][-uACCESS_KEY][-pSECRET_KEY][-lLIMIT][--sort-last-modified]bucketpath

ListavailablebackupsinCloudObjectStorage.

positionalarguments:buckettargets3bucketpathPath/prefixtothelookforbackupsinoptionalarguments:-h,--helpshowthishelpmessageandexit-eENDPOINT_URL,--endpoint-urlENDPOINT_URLendpointURLoftheS3storage-sINSTANCE_ID,--instance-idINSTANCE_IDserviceinstanceid-uACCESS_KEY,--access-keyACCESS_KEYacccesskeyidofHMACcredentials-pSECRET_KEY,--secret-keySECRET_KEYsecretaccesskeyofHMACcredentials-lLIMIT,--limitLIMITmaxnumberofresultstoreturn--sort-last-modifiedifpassed,sortsresultsfrommosttoleastrecentA common use case would be to get the name of the most recent backup:backworkshowcos\--endpoint-url"${IBM_COS_ENDPOINT_URL}"\--instance-id"${IBM_COS_INSTANCE_ID}"\--access-key"${IBM_COS_ACCESS_KEY}"\--secret-key"${IBM_COS_SECRET_KEY}"\"my-bucket"\"my-path"\--limit1\--sort-last-modified\|jq.backups[0]backwork download cos$backworkdownloadcos--help
usage:backworkdownloadcos[-h][-eENDPOINT_URL][-sINSTANCE_ID][-uACCESS_KEY][-pSECRET_KEY]remote_pathbucket[local_path]DownloadafilefromCloudObjectStorage.

positionalarguments:remote_pathCloudobjectstoragepath/prefixtotheobjectbeingdownloadedbuckettargets3bucketlocal_pathpathtosavethefiletoonthelocalfilesystem

optionalarguments:-h,--helpshowthishelpmessageandexit-eENDPOINT_URL,--endpoint-urlENDPOINT_URLendpointURLoftheS3storage-sINSTANCE_ID,--instance-idINSTANCE_IDserviceinstanceid-uACCESS_KEY,--access-keyACCESS_KEYacccesskeyidofHMACcredentials-pSECRET_KEY,--secret-keySECRET_KEYsecretaccesskeyofHMACcredentialsAuthorMichael Lin <michael.lin1@ibm.com>
Package: backwork-upload-softlayer
backwork-upload-softlayerAdd support for SoftLayer uploads onbackwork.InstallingYou can usepipto install this plug-in:$pipinstallbackwork-upload-softlayerUsingAfter installing the plug-in you will be able to use theupload softlayercommand onbackwork.$backworkuploadsoftlayer--help
usage:backworkuploadsoftlayer[-h][-uUSERNAME][-pAPI_KEY][-dDATACENTER][-cCONTAINER][local_path]remote_path

UploadafiletoSoftlayerObjectStorage.

positionalarguments:local_pathpathinthelocalfilesystemofthefiletobeuploadedremote_pathpathonSoftlayerObjectStoragecontainerwherethefilewillbestored

optionalarguments:-h,--helpshowthishelpmessageandexit-uUSERNAME,--usernameUSERNAMEusernameforSoftlayerObjectStorageAPI-pAPI_KEY,--api-keyAPI_KEYapikeyforSoftlayerObjectStorageAPI-dDATACENTER,--datacenterDATACENTERdatacenterwherethefilewillbestored-cCONTAINER,--containerCONTAINERtargetcontainer
Package: bacli
bacliBorn Again Command Line Interface.Bacli is a module that wraps the command line argument parsing functionality of argparse for ease of use. Any Python function can be transformed into an entry point for the program. Simply add thecommanddecorator, and you will be able to call the function directly from the command line (with parameters, documentation and correct types!).Usage""" example.py: This file serves as a demonstration of the bacli functionality. """

import bacli

with bacli.cli(__doc__) as cli:

    @cli.command
    def run():
        """ Run the model. """
        print("Running")


    @cli.command
    def train(iterations: int, batch_size: int=32):
        """ Train the model. """
        print("Training model")
        print("{} iterations".format(iterations))
        print("batch size of {}".format(batch_size))It can then be used as follows:> python example.py -h
usage: example.py [-h] subcommand ...

example.py: This file serves as a demonstration of the bacli functionality.

positional arguments:
  subcommand  Select one of the following subcommands:
    run       Run the model.
    train     Train the model.

optional arguments:
  -h, --help  show this help message and exit> python example.py run
Running> python example.py train -h
usage: example.py train [-h] [--batch_size BATCH_SIZE] iterations

Train the model.

positional arguments:
  iterations            type: int

optional arguments:
  -h, --help            show this help message and exit
  --batch_size BATCH_SIZE
                        type: int, default=32> python example.py train 10 --batch_size 64
Training model
10 iterations
batch size of 64Upcoming FeaturesSupport for variable arguments (*args and **kwargs)Support documentation of parametersSupport aliases of parameters (maybe use first leter as shortcut)
Package: bacman
django-bacmanA simple library that takes a snapshot of a Postgres or MySQL database and uploads it to AWS S3.InstallationStep 1:- Install itpipinstallbacmanStep 2:Add proper environment variables in your/etc/environmentor.pam_environmentDATABASE_URL="postgres://dbuser:dbpass@localhost:5432/dbname"AWS_SECRET_ACCESS_KEY="YOURAWSSECRETACCESSKEYABCDEFGHIJKLMNOPQR"AWS_ACCESS_KEY_ID="YOURAWSACCESSKEYIDAB"BACMAN_BUCKET="bacman-example"BACMAN_DIRECTORY="/home/bacman/backups"BACMAN_REGION="eu-west-1"Step 3:Create .py file with the contents belowfrombacman.postgresimportPostgresPostgres(cleanup_local_snapshots=True)orfrombacman.postgresimportPostgresPostgres(cleanup_local_snapshots=True,local_snapshot_timeout=24)SettingsDATABASEDATABASE_URLPlease add theDATABASE_URLvariable to your/etc/environmentor.pam_environmentRead more athttps://github.com/kennethreitz/dj-database-urlAmazon Web ServicesAWS_ACCESS_KEY_IDPlease add theAWS_ACCESS_KEY_IDvariable to your/etc/environmentor.pam_environmentAWS_SECRET_ACCESS_KEYPlease add theAWS_SECRET_ACCESS_KEYvariable to your/etc/environmentor.pam_environmentBacManBACMAN_BUCKETPlease add theBACMAN_BUCKETvariable to your/etc/environmentor.pam_environmentBACMAN_DIRECTORYdefault:/tmp/bacmanBACMAN_PREFIXdefault (Postgres):pgdumpdefault (MySQL):mysqldumpExamplesExample 1# /home/bacman/runbacman.pyfrombacman.postgresimportPostgres# Uploads to remote AWS bucket# Removes old database snapshots that are older than 30 days (720 hrs)defmain():Postgres(to_remote=True,cleanup_local_snapshots=True)if__name__=="__main__":main()Example 2# /home/bacman/runbacman.pyfrombacman.postgresimportPostgres# Uploads to remote AWS bucket# Removes local snapshots that are older than 360 hrs# Removes remote snapshots that are older than 180 hoursdefmain():Postgres(to_remote=True,remote_snapshot_timeout=180,cleanup_local_snapshots=True,local_snapshot_timeout=360)if__name__=="__main__":main()Crontab exampleTake a snapshot every 2 hours0 */2 * * * ~/env/bin/python ~/runbacman.py >> /home/django/logs/crontab.log 2>&1You can test run the script above by$ chmod +x runbacman.py
$ python runbacman.py# Open your crontab editor by typing crontab -e# m h  dom mon dow   command0*/2***~/env/bin/python~/runbacman.py>>/home/bacman/logs/crontab.log2>&1
Package: bacoli-py
bacoli_py is a Python package for solving systems of 1D Parabolic
Partial Differential Equations. Wraps a slightly modified version of BACOLI
(seehttp://cs.stmarys.ca/~muir/BACOLI-3_Webpage.htm) and BACOLRI. Tutorial,
documentation and examples can be found athttps://bacoli-py.readthedocs.io/en/latest/.
Can be downloaded from PyPi athttp://pypi.python.org/pypi/bacoli_py.For any questions, comments or suggestions please email Connor Tannahill atctannahill3@gmail.comInstallation from sourcepip install ./bacoli_py
Package: bacon
Bacon is a Python module for making 2D games that run on Windows and OS X. It provides
functions for drawing graphics, playing sounds, and receiving input from the mouse,
keyboard and game controllers.Source code hosted at:https://github.com/aholkner/baconDocumentation:http://bacon.readthedocs.org/en/latest/Releases hosted on PyPI:https://pypi.python.org/pypi/bacon/See LICENSE for licensing information.
Package: baconator
Baconator - Hollywood-themed random name generatorBaconator is likeHaikunator(andmany other versions).
It generates easy to quote random names for stuff - files, jobs, servers - you name it 😉Why another Haikunator version?To make this fun. Baconator random-pairs the first and last names of famous actors.
"Benicio Del Neeson" or "Keanu Ford" are more memorable and way cooler than "delicate haze"."Baconator"??The name is a reference to theSix Degrees of Kevin Bacongame.
See if you can find the shortest path between the first and last name that Baconator generates 🤓Installationpip install baconatorUsageimportbaconatorbaconator.generate()# => Jake-Gooding-Jr-6425baconator.generate('😀')# => 'Harrison😀Brando😀9054'baconator.generate(delimiter='+',token_len=2)# => 'Patricia+Crystal+68'It also installs a console script:$baconator
Charlize-Whitaker-7743
Package: baconify
baconify: Bacon Generatorbaconifyis a package inspired bythis Abstruse Goose comic strip.Getting baconifyIt's recommended to runbaconifyin a virtual environment:$python3-mvenvbacon.env
$sourcebacon.env/bin/activateTo installbaconifyrun:(bacon.env)$pipinstallbaconifyUsageStart up a Python 3 interpreter (python3) and typeimportbaconfor some bacon goodness.
Package: baconql
baconql=======[![Build Status](https://travis-ci.org/lsenta/baconql.svg?branch=master)](https://travis-ci.org/lsenta/baconql)[![Coverage Status](https://coveralls.io/repos/github/lsenta/baconql/badge.svg?branch=master)](https://coveralls.io/github/lsenta/baconql?branch=master)baconql is an attempt at reconciling myself, Python and SQL.It provides:- an SQL interface without ORM or weird Python DSL,- a simple migration system, no boilerplate needed.### No ORM?!Try something:Search for `ORM bad`. Have you read any of these articles?Then, search for `Python SQL` or `Python SQL without ORM`. ORMs, ORMs and ORMs.baconql is an attempt at providing an ORM free library to interact with a relationaldatabase. It doesn't do abstract stuff away, you don't have to learn a specific Pythonsyntax. You write SQL, you execute SQL.- baconql is of the opinion that SQL is the right tool for the jobwhen working with a relational database. Python DSLs don't count.- baconql uses simple conventions in your SQL files to define (at compile time)database functions in your Python module,creating a clean separation of Python and SQL code.- _(this is stolen from HugSQL, see the notes below)_It provides:## CompilerTurns .sql files into python functions.You write a `users.sql` file:```-- count_all :? :sSELECT COUNT(*)FROM users;-- list_all :? :*SELECT *FROM users;```It's a regular SQL file, your editor already knows how to handle it and autocomplete itfor you.baconql generates a `users.py` file that you can import and `assert user.count_all(db) == 42`.The exact syntax will be describe later, but basically:- one file = one module- one block = description header + SQL body- description header = name + type of operation (query, mutation, returning) + cardinality of the result (one, many, scalar, affected)That's it.## Migration managerthat makes writing SQL migrations easiers to write and to track.WIP.## NotesIf you find a clever idea, it's probably a ripoff of [HugSQL](http://www.hugsql.org/),silly stuffs are mine.baconql relies on SQLAlchemy, my Python is rusty and I'm no SQL expert,so SQLAlchemy provides the basics to interact with the database.I'd love to replace it with a more focused library. Handling typing seem's to be the tricky part.If you dig into the internals you'll see that it's more of a quick & dirty POC than a wellthought codebase. Comments & issues, good or bad, will be highly appreciated.## Release- requires `pypandoc` package to convert this Markdown to reStructuredText.## TODOs- [ ] Setup tox and make this 2.6 & 3.. compatible- [ ] Set a license- [ ] Shorten this readme, add usage documentation and a demo,- [ ] Find a solution to avoid repeating every argument type- parse the sql to figure out the inputs?- allow user to provide default input/output mappings, used when doing `SELECT *' for example.- [ ] Add option to specify a docstring and prefixes (special imports) for a module- [ ] Clean parsing phase, maybe with a real grammar (?),- [ ] Exceptions system with a consistent way to raise with line numbers,- [ ] More unit-testing,- [x] Pypi-ize,- [ ] Split into 2 different projects.
Package: bacs
BACS: Bundle Adjustment For Camera SystemsThis is a Python implementation of BACS, a bundle adjustment for camera systems with points at infinity.
It was originally written in Matlab and published by Johannes Schneider, Falko Schindler, Thomas Läbe, and Wolfgang Förstner in 2012.UsageRunpython3-mpipinstallbacsto install the library.
Have a look at thedoc stringfor explanation of the parameters.Testing and developmentMake sure you have NumPy and SciPy installed:python3-mpipinstallnumpyscipyBy running the provided examples withpython3main.pyyou can verify that BACS is working correctly (eg. there is nogit diffin the results folder after execution).ResourcesFurther explanation and visualization can be found on theBACS project page, the correspondingMatlab demoas well as the originalpublication.
Package: bact-archiver-bessyii
pierre.schnizer@helmholtz-berlin.deLicense: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Physics
License-File: LICENSEUNKNOWN
Package: bacx
BacxContentAbout libraryInstallExamplesNamedictConfigDevelopmentBuild pip packageRequiresLicenceAbout libraryThis is Python library with various tools designed primary for needs of Cognexa backend engineering team.Install$pipinstallbacxExamplesSeedocumentationDevelopmentIf you want to develop bacx, first:clone this repo:$gitclone<repopath>builddockerimage (to be able to test bacx):$docker-composebuildYou can then start python interpreter in bacx docker container and test there your changes to source files located
inbacxandtestsfolder.$docker-composerun--rmbacx_storagepythonThere are some tasks indocs_devfolder (not included in build, so you may not see it).Try bacxTo launch bacx in python interpreter inside docker:start docker image:$docker-composerun--rmbacx_storagepythonimport bacx:>>>importbacxRun bacx tests:Tests are located intests/folder. To run all tests inside docker:$docker-composerun--rmbacx_storagepython-munittestdiscoveror:$docker-composerun--rmtestTo run specific test (for example tests forconfig.py):$docker-composerun--rmbacx_storagepython-mtests.utils.test_configBuild pip packageIf you need tobuildbacx
from source, use this command from project root folder:$pythonsetup.pybdist_wheelIt will build.whlbacx package and place it todistfolder. This package can be then installed for example using
pip install:$pipinstalldist/<packagename>.whlTo build package under project's pipenv use:$pipenvinstall--dev--ignore-pipfile--deploy
$."$(pipenv--venv)"/bin/activate
$pythonsetup.pybdist_wheelRequiresSee:PipfileLicenceMIT license
Package: badapple
Python Module: Play the video in the console as ASCII art.Where there is light, there isBad Apple!!Installationpython-mpipinstallbadapplewith audio:python-mpipinstallbadapple[audio]with any supported player:python-mpipinstallbadapple[dev]Runpython-mbadappleHelp Messageusage: badapple [options] ...BadApple-Python-OS-ISA-v0.0.6options:-h, --help            show this help message and exit--help_audio          show avaliable players (default: False)-i INPUT, --input INPUTvideo file (use_BA_MP4 or_BA_BA to load built-in video) (default:_BA_MP4)-o OUTPUT, --output OUTPUTpreload output file (default: )--font FONT           font data file (default: )--audio AUDIO         audio file (use_BA_WAV,_BA_MP3 or_BA_MP4 to load built-in audio) (default: )--audio_player AUDIO_PLAYERaudio player [ffplay mpv vlc mpg123 cmus simpleaudio pyaudio playsound auto] (default: )-s SCALE, --scale SCALEwidth:height (0 means auto) (default: 0:0)-r RATE, --rate RATE  frame rate (default: 1024.0)--not_clear           not clear screen (with ANSI) before each frame (default: False)--contrast            contrast enhancement (default: False)--preload             preload video (not play) (default: False)--debug               debug (default: False)