Saravanan666/pypi-org huggingface dataset:
Package: slim-helper
slim-helperpipinstallslim-helpe[postgres]# optional dependency: psycopgpipinstallslim-helpe[oracle]# optional dependency: oracledbpipinstallslim-helpe[all]# all optional dependencydatabasefromfromslim_helper.databaseimportDbHelper,SqliteParams,PostgresParams,OracleParams# SQlite:config=SqliteParams(file_name=':memory:')withDbHelper(config)asdb:db.execute("""CREATE TABLE foo (id INTEGER PRIMARY KEY ,txt TEXT)""")db.execute("insert into foo values(?,?)",[1,'a'])db.execute("insert into foo values(?,?)",[2,'b'])db.execute("insert into foo values(?,?)",[3,'c'])db.commit()result,columns=db.query("select * from foo where id=? and txt=?",[2,'b'])db.execute("drop table foo")print(result,columns)# Ordb=DbHelper(config)db.open()...db.close()# PostgreSQL:config=PostgresParams(host='localhost',port=5432,dbname='postgres',user='postgres',password='postgres')withDbHelper(config)asdb:db.execute("""CREATE TABLE  IF NOT EXISTS foo (id INTEGER PRIMARY KEY ,txt TEXT)""")db.execute("insert into foo values(%s,%s)",[1,'a'])db.execute("insert into foo values(%s,%s)",[2,'b'])db.execute("insert into foo values(%s,%s)",[3,'c'])db.commit()result,columns=db.query("select * from foo where id=%sand txt=%s",[2,'b'])db.execute("drop table foo")print(result,columns)# Ordb=DbHelper(config)db.open()...db.close()# Oracle:config=OracleParams(host='localhost',port=1521,service_name='orcl',user='orcl',password='orcl')withDbHelper(config)asdb:db.execute("""CREATE TABLE FOO (id INTEGER PRIMARY KEY ,txt VARCHAR2(100))""")db.execute("insert into FOO values(:1,:2)",[1,'a'])db.execute("insert into FOO values(:1,:2)",[2,'b'])db.execute("insert into FOO values(:1,:2)",[3,'c'])db.commit()result,columns=db.query("select * from foo where id=:1 and txt=:2",[2,'b'])db.execute("drop table FOO")print(result,columns)# Ordb=DbHelper(config)db.open()...db.close()common# retry decoratorretry(times:int,interval_secs:int)# timer decoratortimer(func:Callable)# null value logic functionnvl(*args)display# convert number to SI metric prefixsi_prefix(value:float|int)# convert number to IEC metric prefixiec_prefix(value:int)io# line reader classLineReader(file:Path,max_line_size:int,sep:bytes=b"\n",start_pos:int=0,end_pos:int|None=None,)# Get rangeread_range_distribute(file:Path,n:int,sep:bytes|None=None)process# Execute command functionexecute_command(cmd:Sequence[str],stdin:bytes|None=None,stdout=subprocess.PIPE,stderr=subprocess.PIPE,dry:bool=False,)security# SHA3-512sha3_512(obj:Path|str|bytes)task# Parallel task executorParallelWorker(callback:Callable,parallel:int=1,max_input:int=0,max_output:int=0,)
Package: slimHTTP
A no-dependency, simple, minimal and flexible HTTP server written in Python.Supports: REST, WebSocketÂ¹, vhosts, reverse proxy and static file delivery.slimHTTPdocumentationslimHTTPdiscordserverFeaturesNo dependencies or additional requirementsREST routes(@http.route('/some/endpoint'))websockets using pluginspiderWebÂ¹Can emulate files via@http.route('/example.html')vhostsTLS(SSL)reverse proxy.pyextensions in web-root/vhosts without having to use FastCGINo threads used by default(fully relies onepoll()andselect()on Windows)flexible runtime configuration and re-configuration(using annotation@http.configuration)InstallationThe project is hosted on PyPi and can be installed withpip.sudo pip install slimHTTPBut it can also be cloned manually(or downloaded)git clone https://github.com/Torxed/slimHTTPMinimal exampleimportslimHTTPhttp=slimHTTP.host(slimHTTP.HTTP)http.run()Serves any files under/srv/httpby default inHTTPmode.FootnoteIt's not pretty down here. But it'll do in a pinch.
Package: slim-id
Slim-ID: A Lightweight ID Generation Library for Python下の方に日本語の説明がありますOverviewThis is a tool that automatically generates short IDs.It has a mechanism to avoid collisions with already generated IDs.FeaturesSpecify the desired length for generated IDs (default is 5 characters)Automatically increases the length if the generated ID conflicts with existing IDsSpecify the alphabet to use for the ID (default is URL-safe Base64, but hexadecimal can also be specified)Uses cryptographically secure random number generation internally, providing a degree of protection against attackers predicting the random number from timestamps, etc.Requires a user-defined function to determine if a generated ID conflicts with existing IDs. This function is expected to handle dictionary lookups or database queries, for example.Usage Exampleimportsysimportslim_idid_dic={}defexists(arg_id):return(arg_idinid_dic)# Generate an ID using Slim-IDs_id=slim_id.gen(exists)id_dic[s_id]=Trueprint(s_id)# Generate an ID using Slim-ID with custom parameterss_id=slim_id.gen(exists,# Function to determine if an ID exists in the databaselength=7,# Base length (automatically increases if a collision occurs)ab="16",# Alphabet type (base64url... URL-safe Base64, 16... hexadecimal))id_dic[s_id]=Trueprint(s_id)概要短いIDを自動生成するツールです生成済みIDとの衝突を回避する仕組みを持っています特徴生成されるIDの長さを指定可能（デフォルトは5文字）生成されたIDが既存のIDと衝突する場合、長さが自動的に増えるIDに使用するアルファベットを指定可能（デフォルトはURLセーフなBase64だが、16進数も指定できる）内部で暗号学的に安全な乱数生成を使用しており、タイムスタンプなどから乱数を推定する攻撃者に対してある程度の保護を提供生成されたIDが既存のIDと衝突しているかどうかを判断する関数をユーザーが定義する必要がある。この関数は、辞書の引当やDBの引き当てなどを処理することが想定されている。importsysimportslim_idid_dic={}defexists(arg_id):return(arg_idinid_dic)# Slim-IDを使用してIDを生成s_id=slim_id.gen(exists)id_dic[s_id]=Trueprint(s_id)# カスタムパラメータを使用してSlim-IDでIDを生成s_id=slim_id.gen(exists,# IDがデータベースに存在するかどうかを判断する関数length=7,# 基本長（衝突が発生した場合、自動的に長くなります）ab="16",# アルファベットの種類（base64url... URLセーフな64進数、16... 16進数）)id_dic[s_id]=Trueprint(s_id)
Package: slimjim
# slimjimAbsolute hack for injecting pretend typing into an application when recording
screen casts.Requires command-line tool [sendkeys](https://github.com/socsieng/sendkeys)
installed to do the typing injection.Two commands:slimfiletakes a file and uses it as a source for content to injectslimspectakes a content specification containing instruction fields andinjectable content# Installpip install slimjimCommands will be in your path## WarningThis project ships with a copy of an unreleased version of a widget from
[asciimatics](https://asciimatics.readthedocs.io/en/stable/index.html) in
order to take advantage of features that haven’t been released yet.
Package: slimmer
slimmer.py is a whitespace optimizer for CSS, HTML and XHTML output.
It’s written by Peter Bengtsson,peter@fry-it.comin 2004-2005. Still
maintained in 2008.INSTALLATION:$ sudo easy_install slimmerAlternative:$ tar -zxvf slimmer-x.x.x.tgz
$ cd slimmer/
$ sudo python setup.py installUSAGE:>>> import slimmer
>>> from slimmer import css_slimmer
>>> css_slimmer("h1, h2 { font-family: 'Courier New', Courier; }")
"h1,h2{font-family:'Courier New',Courier;border:1px solid black;}"
>>> html_slimmer('<a  href="x" title="   foo  bar  "> one </a>  <br />')
>>> from slimmer import html_slimmer, xhtml_slimmer
>>> html_slimmer('''<a  href="x" title="   foo  bar  "
                  > one </a>  <br/>''')
'<a href="x" title="   foo bar  "> one </a><br />'UNITTESTS:$ cd slimmer/tests
$ python testSlimmer.py
$ python testSlimmer.py --verbose
Package: slimoneat
OneatThis project provides static and action classification networks for LSTM based networks to recoganize cell events such as division, apoptosis, cell rearrangement for various imaging modalities.Installation & UsageInstallationThis package can be installed bypip install --user oneatadditionally ensure that your installed tensorflow version is not over 2.3.4If you are building this from the source, clone the repository and install viagitclonehttps://github.com/Kapoorlabs-CAPED/CAPED-AI-oneat/cdCAPED-AI-oneat

pipinstall--user-e.# or, to install in editable mode AND grab all of the developer tools# (this is required if you want to contribute code back to NapaTrackMater)pipinstall--user-rrequirements.txtPipenv installPipenv allows you to install dependencies in a virtual environment.# install pipenv if you don't already have it installedpipinstall--userpipenv# clone the repository and sync the dependenciesgitclonehttps://github.com/Kapoorlabs-CAPED/CAPED-AI-oneat/cdCAPED-AI-oneat
pipenvsync# make the current package availablepipenvrunpythonsetup.pydevelop# you can run the example notebooks by starting the jupyter notebook inside the virtual envpipenvrunjupyternotebookExamplesoneat comes with different options to combine segmentation with classification or to just use classification independently of any segmentation during the model prediction step. We summarize this in the table below:Example DatasetDataSetTrained ModelNotebook CodeExample timelapseOneat modelNapari notebookExample timelapseOneat modelNapari notebookExample timelapseOneat modelNapari notebookTroubleshooting & SupportTheimage.sc forumis the best place to start getting help and support. Make sure to use the tagoneat, since we are monitoring all questions with this tag.If you have technical questions or found a bug, feel free toopen an issue.
Package: slimoore
Polls is a simple Django app to conduct Web-based polls. For each
question, visitors can choose between a fixed number of answers.Detailed documentation is in the “docs” directory.Quick startAdd “polls” to your INSTALLED_APPS setting like this:INSTALLED_APPS = [
    ...
    'polls',
]Include the polls URLconf in your project urls.py like this:path('polls/', include('polls.urls')),Runpython manage.py migrateto create the polls models.Start the development server and visithttp://127.0.0.1:8000/admin/to create a poll (you’ll need the Admin app enabled).Visithttp://127.0.0.1:8000/polls/to participate in the poll.
Package: slimpy
slimpyA simple library that provides custom string slicing and matching.slimpy provides a convenient solution for searching and identifying strings
that may have unexpected characters. It is useful for searching and identifying
an expected string but has mismatched characters, for example, strings
extracted from OCR tools like pytesseract. In fact, that is the reason behind
the creation of this library.For example, suppose there is a script that extracts text from an image
and there is an expected word to be present in the extracted text:expected_word="character"extracted_text="This sentence has one typo word that has two mismatch oharaoter"expected_wordinextracted_text>>>False# We can use this library to tackle this kind of occasionfromslimpyimportFragment,REMword_Fragment=Fragment(expected_word)matching=REM()matching.set_reference(extracted_text)match=matching.perform_matching(word_Fragment)match>>>Fragmentedstring:characterPatternmatch:.{0,1}hara.*?terListofmatch:['oharaoter']match.match>>>oharaotermatch.pattern>>>.{0,1}hara.*?terThat's it! As mentioned earlier, searching and identifying strings that may
have unexpected characters.
For more information, visit the GitHubpage.
Package: slims-lisp
Slims-lisp is a small python package that provides a CLI for SLIMS REST API.Features:Download a file from a SLIMS experiment attachment step.Upload a file to a SLIMS experiment attachment step.Create a new SLIMS experiment attachment step and upload multiple files to it
(useful to upload a whole dataset containing multiple data and/or metadata files at once).InstallationThe latest release is available on PyPI and can be installed usingpip:$ pip install slims-lispIsolated environments usingpipxInstall and execute slims-lisp in an isolated environment usingpipx.Install pipxand make sure that the$PATHis correctly configured.$ python3 -m pip install --user pipx
$ pipx ensurepathOncepipxis installed use following command to installslims-lisp.$ pipx install slims-lisp
$ which slims-lisp
~/.local/bin/slims-lispUsageThe latest documentation is available onhttps://readthedocs.org.
Package: slims-python-api
slims-python-api: Interact with SLims from pythonThe SLims python api allows you to interact with your SLims instance by using Python. It allows you to extend the versatile capability of SLims even further.InstallingIf you run SLIMS 6.3 you runpip install 'slims-python-api>=6.3.0,<6.4.0'If you run SLIMS 6.2 you runpip install 'slims-python-api>=6.2.0,<6.3.0'DocumentationThe documentation can be found on the following page:http://slims-python-api.readthedocs.io/en/latest/Getting StartedTo get you started we provided a few cookbook examples:Data ManipulationIn this script, we demonstrate creating, modifying and removing content.Flow ExampleLearn how to create a SLimsgate flow with python. In the given example you will create a very simple two steps flow. In the first step a content record can be selected in the UI. In the second step a new id
for that content record can be chosen.Live ReportThis web application is displaying on a web page a live report for a selected period. It shows how a webportal can be used to create a specific report directly through the api.Order SubmissionIn this sample web application, a user can create an order direclty through a web portal, with customizable appearance and formattingPlottingIn this example, we demonstrate how graphical plots can be created with python while fetching the data through the api.ContributionsIf you want to contribute to the project, we welcome any addition and we will merge it through a pulls requestQuestions, SuggestionsIf you have any questions or suggestions on for our python API don't hesitate to open issues on this github repository.
Package: slimta
Project HomepageUsage ManualAboutslimtais a configurable MTA based on thepython-slimtalibraries. While
the purpose of thepython-slimtalibrary is to avoid configuration files and
allow full control via Python code, theslimtaproject recognizes that not
everyone will want or need that level of control. Setup, configuration, and
execution ofslimtais designed to be familiar to non-programmers.Theslimtaproject is released under theMIT License.Getting StartedInstallslimtafromPyPi:$pipinstallslimtaPip should pull in all the required dependencies. Next, we create the basic
configuration files:$slimta-setupconfigThis creates 3 files, in~/.slimta/or wherever you specified. The sample
configs are designed to work out of the box, so lets give it a shot:$slimta--no-daemonIn another terminal, let's connect to port 1025 to see if it's working. After
the banner (the line beginning with220), type inQUITto end the session:$telnetlocalhost1025Trying 127.0.0.1...Connected to localhost.Escape character is '^]'.220 localhost.localdomain ESMTP example.com Mail Delivery AgentQUIT221 2.0.0 ByeConnection closed by foreign host.Port 1025 is fully capable of accepting mail in the SMTP session, but is
configured by default with theblackholerelay to silently discard messages.
You can also try it out with the built-in Python SMTP libraries:>>>importsmtplib>>>smtplib.SMTP('localhost',1025).sendmail('test@example.com',['postmaster@example.com'],'test message')At this point, we're still a little ways off from where you'd probably like to
be: actually sending and receiving email to the Internet. Please check out theUsage Manualfor information on configuringslimtato your liking,
including more advanced and custom setups.The MIT License (MIT)Copyright (c) 2021 Ian GoodPermission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Package: slimurl
This module is deprecated. Please use theYARLinstead.Slim URL - is fast wrapper for construction or/and parse URL components. Parsing based on regular expressions.Example:from slimurl import URL

url = URL('http://example.net')
print("%r" % url)
# <URL "http://example.net/">

print((url.host, url.port, url.scheme))
# ('example.net', 80, 'http')

URL('http://example.net') == URL('http://example.net/')
# True

URL('http://example.net:80') == URL('http://example.net/')
# True

URL('http://example.net') == URL('http://example.net/?foo=bar')
# False
Package: slimWS
slimWSWebSocket framework writtein in Python.Works standalone but is preferred as@upgraderforslimHTTP.Installationpypipip install slimWSGit it to a projectgit submodule add -b master https://github.com/Torxed/slimWS.git(Or justgit clone https://github.com/Torxed/slimWS.git)Example usagefromslimWSimportslimwsserver=slimws.host(address='',port=4001)@server.route_parserdefparse(self,frame):print('Got WebSocket frame:',frame.data)yield{'status':'successful'}while1:forevent,*event_datainserver.poll():pass
Package: slimz
pyutilspip3 install --upgrade slimzColorfromslimz.colorimportColorcl=Color()print(cl.red('I am red!'))print(cl.green('I am gree!'))print(cl.yellow('I am yellow!'))print(cl.blue('I am blue!'))print(cl.magenta('I am magenta!'))print(cl.cyan('I am cyan!'))print(cl.white('I am white!'))print(cl.white_green('I am white green!'))Book1Book1 is just for reading specified cell datafromslimz.bookimportBook1,parseFloatTimeToStringb1=Book1("/Users/scottxiong/Desktop/test.xlsx")sheet=b1.sheet(0)#parseFloatTimeToString(row,col,sheet)print(sheet.cell_value(0,0))print(sheet.cell_value(0,1))print(sheet.cell_value(0,2))print(sheet.cell_value(1,2))print(sheet.cell_value(4,0))Book2Book2 used for writing data with existing sheet templatefromslimz.bookimportfont,style,Book2,borders,alignment_center,alignment_left,alignment_rightstyle1=style(borders,alignment_center,font("Arial",10))b2=Book2("/Users/scottxiong/Desktop/test.xlsx","/Users/scottxiong/Desktop/test1.xls")sheet=b2.copy(0,0)sheet.write(5,1,"hello world")sheet.write(5,2,1111,style1)sheet.write(5,3,"2020/03/02")b2.save()other functionfromslimzimporttoday_str,isExist,firstLetterToUpperprint(today_str)print(isExist("a.txt"))print(firstLetterToUpper("I lOve yoU & all the PEOPLE that loved me!"))
Package: sling
Slings from a data source to a data target.Installationpip install slingThen you should be able to runsling --helpfrom command line.Running a Extract-Load TaskCLIslingrun--src-connMY_PG--src-streammyschema.mytable\--tgt-connYOUR_SNOWFLAKE--tgt-objectyourschema.yourtable\--modefull-refreshOr passing a yaml/json string or fileslingrun-c'source:conn: MY_PGstream: myschema.mytabletarget:conn: YOUR_SNOWFLAKEobject: yourschema.yourtablemode: full-refresh'# ORslingrun-c/path/to/config.jsonFrom LibfromslingimportSlingconfig={'source':{'conn':'MY_PG','stream':"select * from my_table",},'target':{'conn':"s3://my_bucket/my_folder/new_file.csv",},}Sling(**config).run()Config Schema--src-conn/source.connand--tgt-conn/target.conncan be a name or URL of a folder:MY_PG(connection ref in db, profile or env)postgresql://user:password!@host.loc:5432/databases3://my_bucket/my_folder/file.csvgs://my_google_bucket/my_folder/file.jsonfile:///tmp/my_folder/file.csv(local storage)--src-stream/source.streamcan be an object name to stream from:TABLE1SCHEMA1.TABLE2OBJECT_NAMEselect * from SCHEMA1.TABLE3/path/to/file.sql(if source conn is DB)--tgt-object/target.objectcan be an object name to write to:TABLE1SCHEMA1.TABLE2Example as JSON{"source":{"conn":"MY_PG_URL","stream":"select * from my_table","options":{}},"target":{"conn":"s3://my_bucket/my_folder/new_file.csv","options":{"header":false}}}
Package: sling-linux-amd64
Slings from a data source to a data target.Installationpip install slingThen you should be able to runsling --helpfrom command line.Running a Extract-Load TaskCLIslingrun--src-connMY_PG--src-streammyschema.mytable\--tgt-connYOUR_SNOWFLAKE--tgt-objectyourschema.yourtable\--modefull-refreshOr passing a yaml/json string or fileslingrun-c'source:conn: MY_PGstream: myschema.mytabletarget:conn: YOUR_SNOWFLAKEobject: yourschema.yourtablemode: full-refresh'# ORslingrun-c/path/to/config.jsonFrom LibfromslingimportSlingconfig={'source':{'conn':'MY_PG','stream':"select * from my_table",},'target':{'conn':"s3://my_bucket/my_folder/new_file.csv",},}Sling(**config).run()Config Schema--src-conn/source.connand--tgt-conn/target.conncan be a name or URL of a folder:MY_PG(connection ref in db, profile or env)postgresql://user:password!@host.loc:5432/databases3://my_bucket/my_folder/file.csvgs://my_google_bucket/my_folder/file.jsonfile:///tmp/my_folder/file.csv(local storage)--src-stream/source.streamcan be an object name to stream from:TABLE1SCHEMA1.TABLE2OBJECT_NAMEselect * from SCHEMA1.TABLE3/path/to/file.sql(if source conn is DB)--tgt-object/target.objectcan be an object name to write to:TABLE1SCHEMA1.TABLE2Example as JSON{"source":{"conn":"MY_PG_URL","stream":"select * from my_table","options":{}},"target":{"conn":"s3://my_bucket/my_folder/new_file.csv","options":{"header":false}}}
Package: sling-linux-arm64
Slings from a data source to a data target.Installationpip install slingThen you should be able to runsling --helpfrom command line.Running a Extract-Load TaskCLIslingrun--src-connMY_PG--src-streammyschema.mytable\--tgt-connYOUR_SNOWFLAKE--tgt-objectyourschema.yourtable\--modefull-refreshOr passing a yaml/json string or fileslingrun-c'source:conn: MY_PGstream: myschema.mytabletarget:conn: YOUR_SNOWFLAKEobject: yourschema.yourtablemode: full-refresh'# ORslingrun-c/path/to/config.jsonFrom LibfromslingimportSlingconfig={'source':{'conn':'MY_PG','stream':"select * from my_table",},'target':{'conn':"s3://my_bucket/my_folder/new_file.csv",},}Sling(**config).run()Config Schema--src-conn/source.connand--tgt-conn/target.conncan be a name or URL of a folder:MY_PG(connection ref in db, profile or env)postgresql://user:password!@host.loc:5432/databases3://my_bucket/my_folder/file.csvgs://my_google_bucket/my_folder/file.jsonfile:///tmp/my_folder/file.csv(local storage)--src-stream/source.streamcan be an object name to stream from:TABLE1SCHEMA1.TABLE2OBJECT_NAMEselect * from SCHEMA1.TABLE3/path/to/file.sql(if source conn is DB)--tgt-object/target.objectcan be an object name to write to:TABLE1SCHEMA1.TABLE2Example as JSON{"source":{"conn":"MY_PG_URL","stream":"select * from my_table","options":{}},"target":{"conn":"s3://my_bucket/my_folder/new_file.csv","options":{"header":false}}}
Package: sling-mac-universal
Slings from a data source to a data target.Installationpip install slingThen you should be able to runsling --helpfrom command line.Running a Extract-Load TaskCLIslingrun--src-connMY_PG--src-streammyschema.mytable\--tgt-connYOUR_SNOWFLAKE--tgt-objectyourschema.yourtable\--modefull-refreshOr passing a yaml/json string or fileslingrun-c'source:conn: MY_PGstream: myschema.mytabletarget:conn: YOUR_SNOWFLAKEobject: yourschema.yourtablemode: full-refresh'# ORslingrun-c/path/to/config.jsonFrom LibfromslingimportSlingconfig={'source':{'conn':'MY_PG','stream':"select * from my_table",},'target':{'conn':"s3://my_bucket/my_folder/new_file.csv",},}Sling(**config).run()Config Schema--src-conn/source.connand--tgt-conn/target.conncan be a name or URL of a folder:MY_PG(connection ref in db, profile or env)postgresql://user:password!@host.loc:5432/databases3://my_bucket/my_folder/file.csvgs://my_google_bucket/my_folder/file.jsonfile:///tmp/my_folder/file.csv(local storage)--src-stream/source.streamcan be an object name to stream from:TABLE1SCHEMA1.TABLE2OBJECT_NAMEselect * from SCHEMA1.TABLE3/path/to/file.sql(if source conn is DB)--tgt-object/target.objectcan be an object name to write to:TABLE1SCHEMA1.TABLE2Example as JSON{"source":{"conn":"MY_PG_URL","stream":"select * from my_table","options":{}},"target":{"conn":"s3://my_bucket/my_folder/new_file.csv","options":{"header":false}}}