Saravanan666/pypi-org huggingface dataset:
Package: pyhermes
pyhermesThe Python interface to theHermesmessage broker.DocumentationThe full documentation is athttps://pyhermes.readthedocs.org.InstallationTo install pyhermes, simply:pipinstallpyhermesThen use it in a project:importpyhermesFeaturesTODOQuickstartSubscriberTo create handler for particular subscription topic decorate your function usingsubscribedecorator:importpyhermes@pyhermes.subscriber(topic='pl.allegro.pyhermes.sample-topic')defhandler(data):# process dataThis function will be called every time there is new message published to the selected topic.PublisherUsepublishfunction to publish data to some topic in hermes:importpyhermes@pyhermes.publisher(topic='pl.allegro.pyhermes.sample-topic')defmy_complex_function(a,b,c):result=a+b+cpublish(my_complex_function._topic,{'complex_result':result})You could publish directly result of the function as well:importpyhermes@pyhermes.publisher(topic='pl.allegro.pyhermes.sample-topic',auto_publish_result=True)defmy_complex_function(a,b,c):return{'complex_result':a+b+c}Result of decorated function is automatically published to selected topic in hermes.Running TestsDoes the code actually work?source<YOURVIRTUALENV>/bin/activate(myenv)$pipinstall-rrequirements/test.txt(myenv)$pythonruntests.pyCreditsTools used in rendering this package:Cookiecuttercookiecutter-djangopackageHistory0.6.0 (2023-13-02)Compatibility with Django 4.10.5.0 (2022-09-02)Rename django app label frompyhermes.djangotopyhermes_djangoCompatibility with Django 3.20.3.0 (2016-12-29)Retry publishing to hermes in case of failure (default: 3x)Support for Python3.6, Django 1.10 and Django development version in tests0.2.1 (2016-12-12)Configure custom label for django app #110.2.0 (2016-11-03)Fix ambiguity with pyhermes.decorators.subscriber (rename subscriber module to subscription)0.1.3 (2016-06-21)Allow for custom wrapper around subcriber functionAdditional logging for event id and retry countAdded support for Django <= 1.7Raw data is dumped only to debug logs.0.1.2 (2016-04-20)New management command for testing Hermes connection0.1.0 (2016-04-13)First release on PyPI.
Package: pyheroicons
pyheroiconspyheroiconsis a Python library that offers a convenient interface to theTailwind CSS Heroiconsicon set. This library allows developers to easily integrate Heroicons into Python-based web frameworks such as Django, Flask, or FastAPI by generating SVG icon template strings.InstallationTo installpyheroicons, simply use pip:pipinstallpyheroiconsUsageImportheroiconfunction frompyheroiconsand use it to generate icon templates:frompyheroiconsimportheroiconheroiconAPInameThe name of the Heroicon (e.g., "academic-cap").variantThe variant of the icon ("outline", "solid", "mini", or "micro").clsOptional. A CSS class to apply to the SVG icon.strokewidthOptional. The stroke width of the icon. Only applicable if the original SVG contains a stroke-width attribute. i.e. Only works for the "outline" variant.Example usageicon_svg=heroicon(name="academic-cap",variant="outline",cls="icon-class",strokewidth="2")print(icon_svg)Keeping Up-to-Datepyheroiconsaims to stay up-to-date with the Heroicons library. When a new version of Heroicons is released,pyheroiconswill also release a corresponding version to ensure compatibility.pyheroicons VersionHeroicons Version1.1.02.1.1ContributingContributions topyheroiconsare welcomed!Licensepyheroiconsis released under the MIT License.
Package: pyhershey
pyhersheyHershey fonts are a collection of different vector fonts developed 1967 by Dr. Allen Vincent Hershey at the US Naval
Weapons Laboratory. These fonts come in different styles and include Latin, Greek, Cyrillic and Japanese (kanji,
hiragana and katakana) characters and a lot of other symbols. The fonts' data are available under some restrictions.
See font-data/LICENSE andhere. But basically, the fonts can be
used in any project.Special about these fonts is that all glyphs are build up by straight line segments which makes
their look rather special. Nevertheless, there can be cases where this feature could be highly useful and, of course, it
has also some kind of style. To get an impression of the fonts, see the documentation of this package.This package enables you to use this fonts in your python project in an easy way.
The only requirement is python >= 3.8.
To install it, runpip install pyhershey[display]This installs the package and matplotlib for displaying the glyphs. If you don't need it, just install the package without[display]The example below shows how to use the library.frompyhersheyimportglyph_factoryfrompyhershey.showimportshow_glypha=glyph_factory.from_ascii('a','roman_simplex')show_glyph(a)For further details, see the documentation.The library is licensed under the GPL3 license (see LICENSE.txt in the root directory).
The font data in the font-data directory has its own license which is given in font-data/LICENSE.
Package: pyHES
⚕ pyHES⚕(pyHES),PythonileHayat Eve Sığarile ilgili işlemleri yapan bir kütüphane.🚀 Kurulum# YüklemekpipinstallpyHES# Güncellemekpipinstall-UpyHES📝 KullanımSMS Onayı İle Oturum BaşlatmafrompyHESimportHESfromjsonimportdumpstokensiz_hes_sinifi=HES(telefon_numarasi=5451112233)giris=tokensiz_hes_sinifi.sms_gonderifgiris:veri=tokensiz_hes_sinifi.giris_dogrula(int(input("Lütfen SMS Kodunu Giriniz : ")))print(dumps(veri,indent=2,ensure_ascii=False,sort_keys=False))id_token ile İşlem YapmafrompyHESimportHEShes_sinifi=HES(telefon_numarasi=5451112233,id_token="ASDQWEQWEQWEQWEASDASD")print(hes_sinifi.bilgilerim())print(hes_sinifi.hes_kodlarim())print(hes_sinifi.hes_sorgula("A1B23456"))Çıktılar// .giris_dogrula(123456){"id_token":"ASDQWEQWEQWEQWEASDASD","telefon":"+905451112233","ad":"Ömer Faruk","soyad":"Sancak","cinsiyet":"Erkek","dogum_tarihi":"07-10-1995","durum":"Risksiz"}// .bilgilerim(){"id_token":"ASDQWEQWEQWEQWEASDASD","telefon":"+905451112233","ad":"Ömer Faruk","soyad":"Sancak","cinsiyet":"Erkek","dogum_tarihi":"07-10-1995","durum":"Risksiz","hes_kodlarim":[{"hes_kodu":"A1B23456","aciklama":"İstanbul Seyahati","olusturma":"27-08-2020","olusturan":"HES-EDEVLET","gecerlilik":"27-02-2022"}]}// .hes_kodlarim()[{"hes_kodu":"A1B23456","aciklama":"İstanbul Seyahati","olusturma":"27-08-2020","olusturan":"HES-EDEVLET","gecerlilik":"27-02-2022"}]// .hes_sorgula("A1B23456"){"hes_kodu":"A1B23456","tc_kimlik_no":"********646","ad":"ÖM**** FA****","soyad":"SA**** ","durum":"Risksiz","gecerlilik":"27-02-2022"}🌐 Telif Hakkı ve LisansCopyright (C) 2021 bykeyiflerolsun❤️️GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007Koşullarına göre lisanslanmıştır..♻️ İletişimBenimle iletişime geçmek isterseniz,Telegram'dan mesaj göndermekten çekinmeyin;@keyiflerolsun💸 Bağış Yap☕️ Kahve Ismarla@KekikAkademiiçin yazılmıştır..
Package: pyhesaff
Hessian Affine + SIFT keypoints in PythonThis is an implementation of Hessian-Affine detector.The implementation uses a Lowe’s (Lowe 1999, Lowe 2004) like pyramid
to sample Gaussian scale-space and localizes local extrema of the
Detetminant of Hessian Matrix operator computed on normalized
derivatives. Then a Baumberg-Lindeberg discovery of a local affine
shape is employed (Lindeberg 1998, Baumberg 2000, Mikolajzyk 2002) to
compute affine shape of each det of Hessian extrema. Finally a local
neighbourhood is normalized to a fixed size patch and SIFT
descriptor(Lowe 1999, Lowe 2004) computed.BUILDINGThere are wheels publishe on pypi using cibuildwheel.IMPLEMENTATIONImplementation depends on OpenCV (2.3.1+). Although, the code is
original, the affine iteration and normalization was derived from the
code of Krystian Mikolajczyk.The SIFT descriptor code was patented under a US Patent 6,711,293, which
expired on March 7th 2019, so the license is no longer required for use.OUTPUTNOTE THIS IS NO LONGER THE CASE. WE MAY REINSTATE THIS.The built binary rewrites output file: <input_image_name>.hesaff.siftThe output format is compatible with the binaries available from the
page “Affine Covariant Features”. The geometry of an affine region is
specified by: u,v,a,b,c in a(x-u)(x-u)+2b(x-u)(y-v)+c(y-v)(y-v)=1. The
top left corner of the image is at (u,v)=(0,0). The geometry of an
affine region is followed by N descriptor values (N = 128).File format:N
m
u1 v1 a1 b1 c1 d1(1) d1(2) d1(3) ... d1(N)
      :
      :
um vm am bm cm dm(1) dm(2) dm(3) ... dm(N)PROPER USEIf you use this code, please refer toPerdoch, M. and Chum, O. and Matas, J.: Efficient Representation of
Local Geometry for Large Scale Object Retrieval. In proceedings of
CVPR09. June 2009.TBD: A reference to technical report describing the details and some
retrieval results will be placed here.NOTESRequires opencv. On ubuntu you can:sudoapt-getinstalllibopencv-dev. You can also build / use wheels.
Package: pyhesive
____          __                 _
           / __ \ __  __ / /_   ___   _____ (_)_   __ ___
          / /_/ // / / // __ \ / _ \ / ___// /| | / // _ \
         / ____// /_/ // / / //  __/(__  )/ / | |/ //  __/
        /_/     \__, //_/ /_/ \___//____//_/  |___/ \___/
               /____/

A lightweight, flexible python package to insert cohesive elementsAbout The ProjectSimple, extensible python library to read a finite element mesh and insert cohesive
elements. Meshes are partitioned into sectors using METIS mesh partitioner, and cohesive
elements are inserted between partitions. This allows an arbitrary level of insertion
(controlled primarily by the number of partitions) without the user needing to specify
cumbersome face-sets along which to insert.Supported Mesh FormatsAbaqus,ANSYS msh,AVS-UCD,CGNS,DOLFIN XML,Exodus,FLAC3D,H5M,Kratos/MDPA,Medit,MED/Salome,Nastran(bulk data),Neuroglancer precomputed format,Gmsh(format versions 2.2, 4.0, and 4.1),OBJ,OFF,PERMAS,PLY,STL,Tecplot .dat,TetGen .node/.ele,SVG(2D only, output only),SU2,UGRID,VTK,VTU,WKT(TIN),XDMF.Mesh I/O is facilitated bymeshio, see meshio
documentation for up-to-date list of supported mesh formats.Built WithnumpyscipypymetismeshioGetting StartedTo get a local copy up and running follow these simple steps.InstallationInstall viapip$python3-mpipinstallpyhesiveOr clone the repository and install an editable copy fromsetup.py$gitclonehttps://gitlab.com/Jfaibussowitsch/pyhesive.git
$cdpyhesive
$python3-mpipinstall-e.Example Usage[RECOMMENDED] Command line script$pyhesive-insert-i/path/to/mesh/file-b15Additional commmand line arguments are listed via$pyhesive-insert--helpThe tool is also fully functional via Python module importimportpyhesive# create the mesh from plain old datapyh=pyhesive.Mesh.from_POD(points,cells)# create partitionsnumber_of_partitions=15# for examplepyh.partition_mesh(number_of_partitions)# insert elements between partitionspyh.insert_elements()# write to file, for example in abaqus format, '.inp' extension is automatically appendedoutput_file_name="~/projects/meshes/cohesive_mesh"pyh.write_mesh(output_file_name,mesh_format_out="abaqus")# for convenience, all of the above can also be chainedpyhesive.Mesh.from_POD(points,cells)\.partition_mesh(number_of_partitions)\.insert_elements()\.write_mesh(output_file_name,mesh_format_out="abaqus")TestingTo run the test suite, make sure you havepytestandvermininstalled. Then clone the repository, and runpytestfrom the project directory. Alternatively one can also runmake testto test additional features such as package upload, installation and minimum Python version.# to run just the correctness tests$pytest# to run all tests$maketestAcknowledgmentsThis project is supported by theCenter for Exascale-enabled Scramjet Design (CEESD)at the University of Illinois at Urbana-Champaign.This material is based in part upon work supported by the Department of Energy, National Nuclear Security Administration, under Award Number DE-NA0003963.
Package: pyhessian2
pyhessian2 is implemented for serialize and deserialize data in hessian2 protocol.Usage>>> # encoding
>>> from pyhessian2 import HessianObject, Encoder
>>> attrs = {
        "name": "xx",
        "age": 20,
    }
>>> obj = HessianObject("com.xx.person", attrs)
>>> data = Encoder().encode(obj)
>>> print "%r" % data>>> # decoding
>>> from pyhessian2 import Decoder
>>> data = ...  # a hessian bytes data
>>> obj = Decoder().decoder(data)  # get a Hessianobject instance
>>> print obj  # print json serialized data
Package: pyhexdump
pyhexdumpInstallThe preferred installation method is:pip install pyhexdumpUsagepyhexdump test.fileorfrompyhexdumpimporthexdumptest=bytearray(range(256))+bytearray(range(256))hexdump(test)MIT LicenseCopyright (c) 2017 Kevin J. WalchkoPermission 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: pyhexgrid
What is it?It’s a small package to manage hexagonal grids.  You tell it the size of
the grid, and the size of the canvas you have, and it tells you the
coordinates for drawing it.  For examples, see thedemosdirectory.InstallationTo build it:python setup.py buildTo install it:python setup.py installType:python setup.py --helpfor other things you can do.Note: if you’re on a Linux box you can just typemakeandmake installin the usual manner.
Package: py-heyjude
py-heyjudeA Python wrapper for theHeyJude ServiceInstallationpipinstallpy-heyjudeUsagefrom heyjude.api import HeyJudeAPI

api = HeyJudeAPI(email="your_email@example.com", password="your_password", api_token="<x-api-token here check your network tab for this>")
print(api.get_subscription_status())FeaturesAuthenticate and retrieve token.Refresh token.Get subscription status.Retrieve open tasks.Get details of a specific task by its ID.Send a message related to a specific task.Create a new task.LicenseThis project is licensed under the MIT License. See the LICENSE file for details.
Package: pyhf-combine-converter
pyhf to Combine converterTool to convert models from pyhf to CMS Combine and vise versaThis tool has been fully verified to produce the same model structure and expected yields, as well as to produce fits that are within 1% of the central value of each other. This has been done through the comparison of NLL plots, pull plots, and raw difference calculations.Environment for CombineIn order to use the package, one must first create a docker container that is capable of running Combine. To do so, enter the following commands once you have Docker installed.docker pull pyhf/pyhf-combine-converter:cmssw-11.2.0-python3
docker run --rm -ti -P --device /dev/fuse --cap-add SYS_ADMIN --security-opt apparmor:unconfined -e CVMFS_MOUNTS="cms.cern.ch oasis.opensciencegrid.org" pyhf/pyhf-combine-converter:cmssw-11.2.0-python3If the docker container is running, but the Combine commands are not being mounted correctly, run the following commands within the container:source /cvmfs/cms.cern.ch/cmsset_default.sh
cmsenvInstallpyhf-combine-convertercan be installed from PyPI. Inside of the Python environment containing Combine runpython3 -m pip install pyhf-combine-converterUsepyhf-combine-converterprovides a CLI API for bidirectional conversion between pyhf and Combine.Convert from pyhf to Combinepyhf-to-combine $JSON_FILE_NAME --shape-file $SHAPES_FILE_NAME --out-datacard $DATACARD_FILE_NAMEConvert from Combine to pyhfcombine-to-pyhf $DATACARD_FILE_NAME --out-file $JSON_FILE_NAMEAny questions or issues should be referred to the docs/ folder, in which the translation is put into more detail.AcknowledgementsThis work was done as part ofPeter Ridolfi's IRIS-HEP Fellow projectwhich was supported by NSF
cooperative agreementOAC-1836650.
Package: pyhfo
pyhfoPython Package to analyse High Frequency Oscillations (HFO) in electrophysiological data.This is the product of PhD project of Anderson Brito da Silva at Newcastle University - UK, funded by CAPES Foundation, an agency under the Ministry of Education of Brazil.InstallationTo install pyhfo, use:pip install pyhfoDeveloper installgitclonehttps://github.com/britodasilva/pyhfo.gitcdpyhfopythonsetup.pydevelopFolter structure/io/contains Input-Output scripts (loads/save data)/ui/contains User Interface scripts (plots)/core/contains main scripts
Package: pyhfs
FusionSolar Northbound Interface ClientProvides a Python API to access Huawei FusionSolar web service to download SmartPVMS data.
To login you need account on Huawei FusionSolarhttps://eu5.fusionsolar.huawei.com.
Queried data are return as-is. Please refer to Huawei SmartPVMSNorthbound Interface Reference V6documentation for more details about data format.InstallationThe package is distributed with pip, and can be installed with the command line:python3 -m pip install pyhfsUsageimportpyhfstry:withpyhfs.ClientSession(user='user',password='password')asclient:plants=client.get_plant_list()print(plants)exceptpyhfs.LoginFailed:print('Login failed. Verify user and password of Northbound API account.')For more details about how to use the API, please checkhow_to.py.Running testsTesting requires a valid Northbound API account, which can be created fromFusion Solarsystem/company management interface. Tests will look for two environment variables to get user account (FUSIONSOLAR_USER) and password (FUSIONSOLAR_PASSWORD).Use the following command from directory root to run the tests:python3 -m unittest discoverUsing CIIn case of a fork, these same variables (FUSIONSOLAR_USER and FUSIONSOLAR_PASSWORD) shall be added to github secrets in order for the CI to work.
Package: pyhfst
PyhfstPyhfst is a pure Python implementation of HFST. The library makes it possible to use HFST optimized lookup FSTs without any C dependencies. Both weighted and unweighted FSTs are supported.The library will run on all operting systems that support Python 3.Installationpip install pyhfstPyhfst can run way faster if you have Cython installed. After installing Cython, you must reinstall Pyhfstpip install cython
pip install --upgrade --force-reinstall pyhfst --no-cache-dirUsageimport pyhfst

input_stream = pyhfst.HfstInputStream("./analyser")
tr = input_stream.read()
print(tr.lookup("voi"))

>> [['voida+V+Act+Ind+Prs+Sg3', 0.0], ['voida+V+Act+Ind+Prs+ConNeg', 0.0], ['voida+V+Act+Ind+Prt+Sg3', 0.0], ['voida+V+Act+Imprt+Prs+ConNeg+Sg2', 0.0], ['voida+V+Act+Imprt+Sg2', 0.0], ['voi+N+Sg+Nom', 0.0], ['voi+Pcle', 0.0], ['voi+Interj', 0.0]]CitationPlease cite the library as follows:Alnajjar, K., & Hämäläinen, M. (2023, December). PYHFST: A Pure Python Implementation of HFST. In Lightning Proceedings of NLP4DH and IWCLUL 2023 (pp. 32-35).@article{pyhfst_2023, 
    title={PyHFST: A Pure Python Implementation of HFST},
    author={Alnajjar, Khalid and H{\"a}m{\"a}l{\"a}inen, Mika},
    booktitle={Lightning Proceedings of NLP4DH and IWCLUL 2023},
    pages={32--35},
    year={2023} 
}
Package: pyhg19
pyhg19Get the coordinates of a variant from its RSID, or an RSID from its
coordinatesInstallationFirst make sure you have followed the installation procedure forpydbsnp. Then installpyhg19withpip3:pip3installpyhg19orpip3install--userpyhg19For full functionality, you should appropriately set environment variablesPYHG19_PATH,PYHG19_MASKED,PYHG19_BOWTIE2_INDEX. For example, you could
add this to your.bash_profile:exportPYHG19_PATH=<pathofyourchoice>exportPYHG19_MASKED=<pathofyourchoice>exportPYHG19_BOWTIE2_INDEX=<pathofyourchoice>Examplesimportpyhg19rs10_coord=pyhg19.coord('rs10')print(f'rs10 is on chromosome{rs10_coord.chr}at position{rs10_coord.pos}')rs10_coord_tuple=pyhg19.coord_tuple('rs10')print('rs10 is on chromosome{}at position{}'.format(rs10_coord_tuple[0],rs10_coord_tuple[1]))rs_something=pyhg19.rsid(chr=1,pos=10019)print('The RSID of the variant on chromosome 1 at position 10019 is{}.'.format(rs_something))
Package: pyhgl
PyHGLPyHGL is a simple and flexiblePython basedHardwareGenerationLanguage. PyHGL has rich features including:A few but necessary extended grammars to reduce grammar noisesRTL and Gate Level hardware description, generates SystemVerilog filesSupport any two-valued logic circuit, including multi-clocks and combinational loopObject-oriented modeling, easy to distinguish between synthetic and not syntheticAsynchronous delay accurate event based simulation in pure PythonSVA like assertions for verificationDocumentationSimilar Projectshttps://github.com/drom/awesome-hdlInstallpython -m pip install pyhglExamplesN-bit Adderfrompyhgl.logicimport*importrandom@moduleFullAdder:a,b,cin=UInt('0'),UInt('0'),UInt('0')s=a^b^cincout=a&b|(a^b)&cin@moduleAdderN(w:int):x=UInt[w](0)y=UInt[w](0)out=UInt[w](0)adders=Array(FullAdder()for_inrange(w))adders[:,'a']<==x.split()adders[:,'b']<==y.split()adders[1:,'cin']<==adders[:-1,'cout']out<==Cat(adders[:,'s'])cout=adders[-1,'cout']#--------------------------------- test ----------------------------------withSession()assess:w=8mask=(1<<w)-1dut=AdderN(w)sess.track(dut.x,dut.y,dut.out)for_inrange(100):x=random.randint(0,mask)y=random.randint(0,mask)setv(dut.x,x)setv(dut.y,y)sess.step(100)out=getv(dut.out)print(f'{x}+{y}={out}\t{(x+y)&mask==out}')sess.dumpVCD('Adder.vcd')sess.dumpVerilog('Adder.sv')sess.dumpGraph('Adder.gv')print(sess)Vending Machine@moduleVendingMachine:nickel,dime,valid=UInt('0'),UInt('0'),UInt('0')switchs:=EnumReg():once'sIdle':whennickel:s<=='s5'whendime:s<=='s10'once's5':whennickel:s<=='s10'whendime:s<=='s15'once's10':whennickel:s<=='s15'whendime:s<=='sOk'once's15':whennickel:s<=='sOk'whendime:s<=='sOk'once'sOk':s<=='sIdle'valid<==1
Package: pyhi
Readme for PyHI module0. IntroductionThis is a Python client for HistoricalInvestor.com server, a financial training tool and trading strategy tester application.1. Using PyHI clientLog in to HI account using a supported browser (manually) and presuming you have some financial instruments bought, click:Autosys | REST APIThis window contains credentials for your HI client:REST ID:
REST Password:Copy those credentials to your trading automaton configuration.The window also lists the symbols of available financial instruments you can trade using the client API.In your program, import the HiData class from “pyhi” module:from pyhi import HiData, maybe_prettyCreate main instance of the HiData class that will be a HI client, for instancehd = HiData(restid, restpasswd, ‘AUDJPY’, resolution=’D1’, initialTime=1245803300000, baseurl=’http://historicalinvestor.com’)The client attempts to open the session to the HI server automatically on creation. It remembers specified parameters like session token, restId and restPassword.You can call object methods to operate on the virtual market session: getting data, placing orders and closing session.Example of getting data:print ‘nnDATA acquired:’, maybe_pretty(hd.get_data(1245803500000, 5))Placing order for 1 lot of AUDJPY:print ‘nnOrder:’, maybe_pretty(hd.order(1245803500000, 1))TransactionsTo buy, use positive values (long position) in “volume” parameter.To sell, use negative values (long position) in “volume” parameter.close the session with .finishor else the transactions will not be visibleopen executed session in web UI:click Autosys | automaton name (e.g. “MyAutomaton” in “test.py” example) | date and time of the session.click Results button to view the trade results.Button Trades turns on buy/sell transaction labels on the main chart.4. ExampleA complete client use example is available in a file “example.py” located in “doc “ subdirectory.5. Important issuesRemember to close the session with “finish” method of HiData instance - otherwise the session with transactions done will not be shown in web UI!