Saravanan666/pypi-org huggingface dataset:
Package: tycho-py
Tycho PythonA python implementation of thetycho binary format.FeaturesFull ImplementationSerialise/Deserialise python objects into binary format.Uses Builtin errors/types.No dependenciesInstallationYou can install usingpip:pip install tycho-pyor add the following to your requirements file:tycho-py==0.1.5Once installed, import the library:importtychoDocumentationBasic usageThe following example takes a python object and encodes it into tycho bytes.importtychodata={"foo":"Hello World","bar":10,"baz":True}tycho.to_bytes(data).hex(" ")# 40 03 03 66 6f 6f 1e 0b 48 65 6c 6c 6f 20 57 6f 72 6c 64 03 62 61 72 11 0a 03 62 61 7a 10 01The following example takes a tycho bytes and decodes it into bytes.importtychodata=bytes.fromhex("40 03 03 66 6f 6f 1e 0b 48 65 6c 6c 6f 20 57 6f 72 6c 64 03 62 61 72 11 0a 03 62 61 7a 10 01")print(tycho.from_bytes(data))# {'foo': 'Hello World', 'bar': 10, 'baz': True}Advanced usageAs python does not map to the rust/serde data model, types have to be inferred.
When encoding from a python object into bytes two processes take place, Serialisation and Encoding.
See this diagram below.Python Object
   \/    /\      Serialise
Tycho Classes
   \/    /\      Encoding
    BytesSerialisation is expensive, as types have to matched and inferred.
To allow better quicker encoding, theTycho Classesare exposed to the user.These reproduce the same result as above examples.importtychodata=tycho.Structure({"foo":tycho.String("Hello World"),"bar":tycho.Unsigned8(10),"baz":tycho.Boolean(False)})print(tycho.encode(data))# 40 03 03 66 6f 6f 1e 0b 48 65 6c 6c 6f 20 57 6f 72 6c 64 03 62 61 72 11 0a 03 62 61 7a 10 01importtychodata=bytes.fromhex("40 03 03 66 6f 6f 1e 0b 48 65 6c 6c 6f 20 57 6f 72 6c 64 03 62 61 72 11 0a 03 62 61 7a 10 01")print(tycho.decode(data))# Structure({'foo': String('Hello World'), 'bar': Unsigned8(10), 'baz': Boolean(True)})Using theTycho Classesalso allow for usage of theVariantObject. As python does not have rust-like enums,
there is no serialisation/deserialisation implemented for them.Within the library theseTycho Classesare namedElementsto keep parity between the rust library and others.Methodstycho.encode(element) -> bytesEncode an Element object into bytestycho.decode(bytes) -> ElementDecode bytes into an Elementtycho.serialise(object) -> ElementSerialise a python object into an elementtycho.deserialise(element) -> objectDeserialise a element into a python objecttycho.from_bytes(object) -> ElementSerialise and encode a python object into bytes.tycho.deserialise(element) -> objectDecode and Deserialise bytes into a python object.ClassesBase classestycho.Elementtycho.Valuetycho.NumericalValueType classestycho.Unittycho.Optiontycho.Structuretycho.Arraytycho.Varianttycho.Listtycho.Maptycho.Booleantycho.Unsigned8tycho.Unsigned16tycho.Unsigned32tycho.Unsigned64tycho.Unsigned128tycho.Signed8tycho.Signed16tycho.Signed32tycho.Signed64tycho.Signed128tycho.Float32tycho.Float64tycho.Chartycho.Stringtycho.BytesWarningWithin the spec it is possible for aMapto containfloat32andfloat64,
However some libraries map not accept such values (due to their unhashability)
Package: tycho-station
Tycho StationA simple registry for storing versioned packages and archives.InstallationPython 3.6+ requiredpip install tycho-station[s3]Usage# initialize package on remote storage# pkgname = Name of package# filename =  Filename you would like package downloaded to when it's pulledtychoreginitpkgnamefilename# Push new version to remote storagetychoregpushpkgname1.0path_to/local/file--promote-latest# Pull latest packagetychoregpullpkgname# Outputs to tycho_packages/{filename} by default# Pull specific versiontychoregpullpkgname--version1.0# Outputs to tycho_packages/{filename} by default# Pull multiple packages at latesttychoregpull-listpkgname1pkgname2pkgname3# More helptychoreg{command}--helpConfigurationThe default configuration file is.tychoreg.json. You can use the--configoption to change this path.Example Configuration{"tycho":{"backend":"s3","outdir":"tycho_packages"},"s3":{"bucket":"my-registry","region_name":"us-east-1","aws_access_key_id":"KEYHERE","aws_secret_access_key":"SECRETHERE"}}Note: s3 attributes can be anything that is accepted byboto3.client('s3', **kwargs)except forbucketwhich is passed in later.Example Configuration Using Environment VariablesFor this example, a Read only key is set for pulling packages by everyone and users with escalated privileges can use a Write key.{"s3":{"bucket":"my-registry","region_name":"us-east-1","aws_access_key_id":{"env":"REG_WRITE_KEY","default":"KEYHERE"},"aws_secret_access_key":{"env":"REG_WRITE_SECRET","default":"SECRETHERE"}}}Loading a DotEnv file..."tycho":{"dotenv":"/home/paul/cspace/tycho-station/.env"},...MotivationsDuring the course of development you often need to store versioned packages that don't nicely fit into any packaging ecosystem. And even when they do fit into an ecosystem such as NPM, PyPi, Conan, etc sometimes you do not want to maintain the infrastructure behind those packaging systems. I wanted a simple way to store files on a private remote storage and pull down versions as needed. Thus Tycho Station was conceived.Tycho Station lets you store archives such as tarballs and zip files but also really anything on a remote storage system in a versioned fashion and then pull them down as needed.ArchitectureTycho Station is designed to work with multiple storage systems but right now the first and default system is Amazon S3 storage. Packages are organized like shown below.bucket
│
└───package_name_1
│   │   tycho.json
│   │   tycho_1.0.pkg
│   │   tycho_1.1.pkg
│   │   tycho_2.0.pkg
│
└───package_name_2
    │   tycho.json
    │   tycho_1.0.pkg
    │   tycho_1.1.pkg
    │   tycho_2.0.pkgtycho.jsonThis file is what tracks the package meta data.{"localname":"narf.tar.gz","latest":"1.0"}tycho.json AttributesNameDescriptionCommand(s)localnameFilename used when downloading the package.Set byinitcommandlatestVersion that is downloaded whenlatestis requested.Updated whenpromotecommand is used or--promote-latestflag is used with thepushcommand.
Package: tycoon
SunnyDI is anIoC containerfor
managing and injecting dependencies in Python.It is inspired byAutofacfor .NET
andGuicefor java.How to UseFor our example, we will create an IoC module for our HelloService.:classHelloService(object):defhello(self):return'hello'Create a new configuration module that extendssunnydi.ioc.Module.
A module defines how objects will be created, destroyed and provided to other object instances in the IoC object graph.
In the most simple configuration, we can just bind a string name to our HelloService class type:classHelloModule(Module):defconfigure(self):self.bind('hello_service').to(HelloService)We can then create the injector and resolve our HelloService like this:>>>hello_module=HelloModule()>>>injector=hello_module.create_injector()>>>hello_service=injector.get('hello_service')>>>hello_service.hello()'hello'Resolved instances are provided via constructor arguments to consuming classes.
For instance, given the following class:classMyClass(object):def__init__(self,hello_service):self._hello_service=hello_servicedefdo_hello(self):returnself._hello_service.hello()An instance ofMyClasscan be resolved with an instance ofHelloServicedue to
the service’s binding name matching the parameter defined in theMyClassconstructor:>>>my_class_instance=injector.get(MyClass)>>>my_class_instance.do_hello()'hello'For advanced usage, checkout thedocs
Package: tycselen
easy to use as most of the data returned are pandas DataFrame objectscan be easily saved as csv, excel or json filescan be inserted into MySQL or MongodbTarget Usersfinancial market analyst of Chinalearners of financial data analysis with pandas/NumPypeople who are interested in China financial dataInstallationpip install tycselenUpgradepip install tycselen –upgradeQuick Startgn=crawl.BaiduNews()
gn.update_info()
print(gn.author_wx)
df_search = gn.search_news('中国银行 电子银行',day=-3, pn=None)
print(df_search)
df_search.to_excel('./search.xlsx')
df_detail = gn.news_detail(top=5)
print(df_detail)
df_detail.to_excel('./detail.xlsx')return:open    high   close     low     volume    p_change  ma5
date
2012-01-11   6.880   7.380   7.060   6.880   14129.96     2.62   7.060
2012-01-12   7.050   7.100   6.980   6.900    7895.19    -1.13   7.020
2012-01-13   6.950   7.000   6.700   6.690    6611.87    -4.01   6.913
2012-01-16   6.680   6.750   6.510   6.480    2941.63    -2.84   6.813
2012-01-17   6.660   6.880   6.860   6.460    8642.57     5.38   6.822
2012-01-18   7.000   7.300   6.890   6.880   13075.40     0.44   6.788
2012-01-19   6.690   6.950   6.890   6.680    6117.32     0.00   6.770
2012-01-20   6.870   7.080   7.010   6.870    6813.09     1.74   6.832
Package: tydataprep
Dataset Preparation for Transformers Fine-tuningTheDataset Prep Transformerspackage simplifies the process of preparing datasets for fine-tuning or training various large language models available in the Hugging Face Transformers library. Whether you're using a model from the Hugging Face repository or have your own dataset, this package streamlines the data integration for a seamless training experience.FeaturesEasily integrate your dataset with Hugging Face Transformers models for training or fine-tuning.Specify the model repository ID and dataset from the Hugging Face library to automatically fetch and configure the data.Seamlessly incorporate your custom dataset by providing it as input to the package.InstallationYou can install the package using pip:pipinstalltydataprep
Package: tyfbaf
tyfbaftyfbafis a Python package designed for bringing (even) more joy when using theSAP® BusinessObjects™ RESTful Web Service SDK.InstallYou can install via PIP:pip install tyfbafBasic UsageFirst you have to call the setup function to telltyfbafthe name of your server (and optionally your port, if it's differing from 6405):>>>importtyfbaf>>>tyfbaf.setup("my-server-name",port=1234)Thentyfbafgives you a get and a post function in the http module. Those functions are specialized for theSAP® BusinessObjects™ RESTful Web Service SDK. So you just have to call the desired endpoint, you can pass your token as a parameter, you don't have to set up headers, etc.>>>importtyfbaf.http>>>tyfbaf.http.get("/logon/long"){'password':'','clientType':'','auth':'secEnterprise','userName':''}For common cases,tyfbafgives you predefined functions, too. So for example you can request a token like this.>>>importtyfbaf.token>>>tyfbaf.token.request("my-username","my-password123")my-server-name:6400@{3&2=5595,U3&p=40674.9596541551,Y7&4F=12,U3&63=secEnterprise,0P&66=60,03&68=secEnterprise:my-username,0P&qe=100,U3&vz=SFY6agrLPxpfQBK1ZKYCahEZKCbfsQm7VgWZFiH.RhM,UPContributionstyfbafneither claims to be complete nor perfect. If you bump into any kind of bug, please let us know byopening an issue. If you have an idea for a new feature, please alsoopen an issue. So we could work things out and make the world a little, little, tiny bit better. 😎ChangelogSeeCHANGELOG.mdfor more information.LicenseDistributed under the MIT License. SeeLICENSEfor more information.CopyrightSAP® BusinessObjects™is the trademark or registered trademark of SAP SE or its affiliates in Germany and in several other countries.tyfbafis not affiliated, associated, authorized, endorsed by or in any way officially connected to SAP SE or an SAP affiliate company.
Package: tygle
tygleTyped Googleor simplytigertygle.Created usingAiogooglefor interaction with Google APIs andpydanticfor typing.Work In Progress🛑 This is a WIP package. Expect bugs and changes.InstallationIn order to install the package, install tygle itself and the APIs you need.For example:pip install tygle[sheets]Supported APIsCurrently, tygle only supports following APIs:Sheets–tygle[sheets]Drive–tygle[drive]
Package: tyjoto-ipe
ipeInteractive Plot Editor for making plots of .csv files for adding fits, labels, etc.Interactive Plot Editor (IPE)Allows one to:Read in a csv fileShows PlotInput command to edit file/or quit (go to step 6)Add edits via pre-organized algrithmsReturn to step 2Save file(Y/n)/Where?Required Packagesnumpy (numpy.loadtxt() is used to read in csv)How to runpython -m ipe <-additional flags> [options]Optional flags-f, --filename	Data file to use-s, --savename	Save plot and new csv with this name-d, --delimiter	Deliminatior for csv file-r, --skiprows	Skip # of rowsPotential Commandst, title		Title of plotv, vertical-line	Add vertical lineh, horizontal-line	Add horizontal linec, change-axes	Change axes limitsx		Edit only the x limitsy		Edit only the y limitsxy		Edit both x and y limitsa, add-fit		Add linear, semilog, log fits (auto -- style line)l, linear	Linear fity, semilogy	Semilogy fitx, semilogx 	Semilogx fite, logfit	Log fitl, legend		Legend locationx, xlabel		Define Xlabely, ylabel		Define Ylabels, scale      Change axes scalex, xscale Change x-scaley, yscale Change y-scalel, lineare, log
Package: tyjuliacall
TyJuliaCallCalling Julia from Python for the real world.Features:Cross-platform support for both dynamically linked Python and statically linked Python.Support Julia system images.InstallationPrerequisites: Python (>=3.7), Julia (>=1.6)Then install thetyjuliacallPython package andTyPythonJulia package.pipinstall-Utyjuliacall
julia-e"import Pkg; Pkg.add(\"TyPython\")"Using System Imagesfromtyjuliasetupimportuse_sysimage# CAUTIOUS: not 'tyjuliacall'!use_sysimage(r"/path/to/sysimg")# if your sysimage contains TyPython,# you could call use_system_typython() to reduce the time cost of setting up julia.fromtyjuliacallimportBaseprint("current sysimage in use",Base.unsafe_string(Base.JLOptions().image_file))# out: /path/to/sysimg受信赖的Python-Julia数据类型转换虽然tyjuliacall允许在Python和Julia之间传递任意数据，但由于是两门不同的语言，数据转换的类型对应关系是复杂的。为了保证代码的后向兼容性，使得规范的代码在不同版本的Syslab/tyjuliacall上都可以运行，建议只使用如下的数据类型转换。Python数据传递到JuliaPython向Julia函数传参时，推荐只使用下表左边的数据类型，以保证代码的后向兼容。Python TypeJulia Type基本类型intInt64floatFloat64boolBoolcomplexComplexF64NonenothingstrString组合类型numpy.ndarray(dtype为数字或字符串或bool)原生Arraytuple，且元素均为表中数据类型Tuple对于Python传递给Julia的tuple，其各个元素按照以上规则依次转换。TIPS: 如何传递bytearray或者bytes到Julia?向Julia函数传递bytes时，可以改为传递一个uint8的数组。无拷贝传参：np.array(memoryview(b'mybytes'), dtype=np.uint8)拷贝传参：np.array(list(b'mybytes'), dtype=np.uint8)向Julia函数传递bytearray时，可以改为传递一个uint8的数组。无拷贝传参：np.asarray(bytearray(b'mybytes')))Julia数据传递到Python当获取Julia函数返回值，或导入Julia模块的非函数对象时，将发生Julia到Python的数据传递。保证后向兼容的Julia到Python数据转换关系如下表所示：JuliaPython基本类型Integer子类型intAbstractFloat子类型floatBoolboolComplex子类型complexnothing对象NoneAbstractString子类型strVector{UInt8}bytearray组合类型AbstrctArray{T}(T见下方说明)numpy.ndarrayTuple{T1, ..., Tn}, 且Ti为该表中的类型tuple其余Julia类型tyjuliacall.JV一个Julia AbstrctArray能转换为numpy数组，当且仅当其元素类型T是以下类型之一Int8, Int16, Int32, Int64, UInt8, UInt16, UInt32, UInt64Float16, Float32, Float64ComplexF16, ComplexF32, ComplexF64Bool注意，当类型为Vector{String}或者Array{String, 2}的Julia对象被返回给Python时，它被封装为一个tyjuliacall.JV类型。其他说明不要对Julia包/模块使用from ... import *。Vector{String}传到Python是一个tyjuliacall.JV，这是一个纯Julia对象的包装，因此下标索引是从1开始的。
Package: tyke-agent
Tyke Python AgentTyke Python agent provides instrumentation for collecting traces data to be processed byTyke.This agent supports these frameworks and adds following capabilities:capture request and response headerscapture request and response bodiescapture SQL queriestracing context propagationTyke python agent supports Python 3.7+LibraryDescriptionSupported Library VersionsflaskA micro web framework written in Python.>= 1.0, < 3.0djangoPython web framework2.0+fastapiPython web framework~= 0.58grpcPython GRPC library.1.27+mysql-connectorPython MySQL database client library.8.*mysqlclientPython MySQLClient library.< 3pymyqlPython MySQL database PyMysql library.2+psycopg2/psycopg2-binary/postgresqlPython Postgresql database client library.2.7.3.1+requestsPython HTTP client library.2.*aiohttpPython async HTTP client library.3.*pymongoPython mongodb pymongo library.>= 3.1, < 5.0redisPython Redis library.3.0.0+cassandraPython Cassandra driver.~= 3.25scyllaPython Scylla driver.~= 3.25Getting startedInstrumentationInstrumentation requires editing your code to initialize an agent, and registering any applicable modules to be instrumented.Install the tyke python agent:pipinstalltyke-agentCreate a YAML file with the name config.yaml in the application root directory and add below contentservice_name:"ServiceName"resource_attributes:app.name:"ApplicationName"service.identifier:Service unique identifierreporting:endpoint:http://localhost:4317token:<base64encodedtoken># OptionalAdd the following to your app's entrypoint python file:fromtyke.agentimportAgent# Set config file location in environment variablesos.environ.setdefault("TYKE_CONFIG_FILE","config.yaml")agent=Agent()# initialize the agent# Instrument a flask app + any other applicable librariesagent.instrument(app)# Instrument a django appagent.instrument()...
Package: tykit
tykit (Tell You kit)📜 Description'tykit--Tell You kit', pronounced like 'ticket', is a toolkit to monitor your scripts' status easily, which has rich and pretty output for progress bar and console logs.
The tykit may support more decent output in the future⚙️ Installtykit can be easily installed withpipas below# for python2pipinstalltykit# for python3pip3installtykit🌟 Features🚀 ProgressBar 进度条forloop,range,multi-threading and multi-threading with multi-paramspb_range(*args)This function is just like the python builtin functionrange()fromtykitimportpb_rangefromtimeimportsleep# use pb_range just like range()foriinpb_range(50):sleep(0.001)# or use it as a generator, with some iterabel_filesfromtykitimportpb_itersome_task=lambdax:x*xiterable_file=[xforxinrange(100)]foriinpb_iter(iterable_file):some_task(i)pb_multi_thread(workers:int,task,iter_files)This function intergrates the multi-threading withProgressBar, which could show the master task's progress in a multi-threading script. Theparam: workersdefined the max-worker of the multi-threading.fromtykitimportpb_multi_threadaspbmt# Firstly, define your task functask_func=lambdax:x*x*x# Put your jobs in a iterable data structurejobs=[xforxinrange(1000)]# run multi-threading with pb(ProgressBar)# and save the result in a listmax_workers=20result=pbmt(max_workers,task_func,jobs)print(result[10])pb_multi_thread_partial(workers:int,task,iter_files,**kwargs)This function is a higher api ofpb_multi_thread(), which is suitable for the multi-threading tasks with more than one parameters.fromtykitimportpb_multi_thread_partialaspbmtp# define a task func with multi paramsdeftask(x,a,b,c):returnx+a+b+c# Put your jobs in a iterable data structurejobs=[xforxinrange(1000)]# run multi-threading with partialmax_workers=20result=pbmtp(max_workers,task,jobs,a=10,b=100,c=-20)print(result[:10])🛎️ rlog (Rich-log)rlog is a module for log printing withrich. It has some functions to print pretty logs and hints. The usage is simple and neat. The samples are shown below👇(for more details, you can find inusage_of_rlog.pyin examples)
Package: tyled
Tyled :butterfly:CLI utility for generatingTiledTilesets:notebook:Documentation:package:PackageInstallationFrom PyPITLDR - do this at your own riskpip install tyledRecommended - pipXIf you don't already have it installed go tohttps://pypi.org/project/pipx/for instructionspipx install tyledFrom GitHubClone the repositorygit clone https://github.com/kfields/tyled.gitNavigate to the new directory which contains the repositorycd tyledCreate a Python 3 virtual environment calledenvpython3 -m venv envActivate the environmentsource env/bin/activateInstall required packagespip install -r requirements.txtCommandsBaketyled bake mytileset.toml [--save/--no-save][--show/--no-show][--rotation/--no-rotation]OptionsDefault options are --save, --no-show, --no-rotationProjectsTyled Projects are defined using TOML files.All Projects must at least have a name and typename='mytileset'type='collection'OptionsOptions may be defined within the project file.  Any options defined here will override the command line options[options]rotation=trueTilesetsTyled currently supports three different kinds of Tilesets:Collection TilesetA Collection Tileset is composed of tiles with images stored in separate filesname='mytileset'type='collection'firstgid=1source='sticker-knight/map'This example will generate mytileset.tsx in the current working directoryOrthogonal TilesetAn Orthogonal Tileset is composed of tiles that have the same dimensions in one image filename='mytileset'type='orthogonal'firstgid=1source='platformer/tiles'tilewidth=128tileheight=128spacing=0margin=0columns=12This example will generate mytileset.tsx and mytileset.png in the current working directoryAtlas TilesetAn Atlas Tileset is composed of tiles that do not have the same dimensions in one image filename='mytileset'type='atlas'firstgid=0source='sticker-knight/map'width=1024height=1024spacing=0margin=0This example will generate mytileset.tsx and mytileset.png in the current working directory
Package: tylinkmap
_____         __ _       _
/__   \_   _  / /(_)_ __ | | __ /\/\   __ _ _ __
  / /\/ | | |/ / | | '_ \| |/ //    \ / _` | '_ \
 / /  | |_| / /__| | | | |   </ /\/\ \ (_| | |_) |
 \/    \__, \____/_|_| |_|_|\_\/    \/\__,_| .__/
       |___/                               |_|link map tool for iOS / macOS developers
Package: tylisten
tylistenA tiny hook specification library with typing support.This library is the hook framework used byaioqzoneandQzone2TG.FeatureTiny & Easy to useFullytyping supportZerodependencies!DocumentationSince version 2.0.0, we've builtdocumentswithSphinx.ExamplesFor hook specifications, see:qqqr.messageaioqzone.messageaioqzone_feed.messageFor hook implementations, see:qzone3tg.app.base._hookqzone3tg.app.interact._hookLicenseMIT License

Copyright (c) 2023 JamzumSum

Permission 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: tyluigiutils
TrustYou Luigi UtilitiesMisc Luigi related code used internally by TrustYou that allow you to:Run Python Hadoop Streaming from a Python virtual environment.Run Luigi Task to automatically read, validate and generate json.Getting StartedTODOFind the documentation: Documentation:https://tyluigiutils.readthedocs.io.History0.2.0 (2017-09-11)Added sqoop related functionalityAdded Spark misc utils and base clasesAdded Spark virtual environment functionality0.1.0 (2017-09-05)First release on PyPI.
Package: tymon
tymonAn AI Assistant More Than a Toolkit
The reason for creating framework tymon is simple. making AI more like an assistant, helping us to complete daily AI tasks we want to accomplish, rather than just a tool. I prefer it to be interactive and "human".Installationpip install tymonExampleTimeseries Assistantinstant a timeseries assistant object, and choose model, set datapath.from tymon.assistant import TimeSeries
assistant_object = TimeSeries(model_name='LSTM',data_path='./international-airline-passengers.csv')
assistant_object.run()run the code you will get a window to set the parameters for model.set parameters to what you want, click the start button to train the model.you will get final model in./and its performance image.Related Blog[鍩轰簬tymon锛屾棤闇鎼缓LSTM锛岃埅鐝汉鏁伴娴媇(https://blog.csdn.net/tymon_xie/article/details/118501378?spm=1001.2014.3001.5502)