Saravanan666/pypi-org huggingface dataset:
Package: kbodatatools
kbodatatools이 패키지는 KBO의 경기 자료를 수집하고 간단한 분석 기능을 제공합니다.설치사용하시는 os에 따라 cmd나 터미널에서 pip를 통해 패키지를 인스톨 해줍니다. 이 패키지는 파이썬 3.6 버전 이상의 환경에서 사용이 가능합니다.패키지 인스톨pip3 install kbodatatools패키지 임포트importkbodatatools사용법전체(2010 ~ 2019년 10월까지) 게임 자료를 받아오는 방법위의 방법을 통해 가상환경이 활성화되면 가상환경에서 아래의 순서대로 파이썬 스크립트 파일을 실행하면 전체 게임 자료를 받아올 수 있습니다. 참고로 전체 자료를 다운 받는 과정에는 약 3시간 이상의 시간이 소요됩니다. 아래의 과정을 끝 마치면 sample 폴더에서 2010~2019년 8월까지의 스코어 보드와 타자와 투수 데이터, 기타 정보가 있는 json 파일과 타자, 투수 데이터 그리고 경기 정보에 대한 데이터가 csv 파일로 생성됩니다.분석 모듈 사용 방법전체 자료가 만들어지면 선수들의 간단한 타격, 투구 기록을 확인해 볼 수 있습니다. 계산 가능한 기록들의 목록은 다음과 같습니다. 타격 기록: 타율, 타점, 득점, 안타, 1루타, 2루타, 3루타, 홈런, 볼넷(4구), 몸에맞는공, 고의4구, 병살, 출루율, 장타율, 희생플라이, 희생번트, 피삼진이 있습니다. 투구 기록: 방어율, 투구수, 타자수, 홀드, 세이브, 피안타, 삼진, 피홈런, 4사구, 자책점, 승률, 이닝, 이닝당투구수, 승리, 패배, 무승부가 있습니다. 이 기록들은 아래와 같은 방식으로 확인할 수 있습니다. 아래에서와 같이 연도별 혹은 월별 기록으로도 확인할 수 있습니다.importbasic_analysisbasic_analysis.get_player_record(name="이병규",record="타율")basic_analysis.get_player_record(name="허준혁",record="방어율")basic_analysis.get_player_record(name="김현수",record="출루율",year=2019)basic_analysis.get_player_record(name="김광현",record="방어율",year=2019)basic_analysis.get_player_record(name="김현수",record="출루율",year=2019,month=6)basic_analysis.get_player_record(name="김광현",record="방어율",year=2019,month=6)참고로 2019년 힌화의 지성준 선수와 장진혁 선수의 경우 KBO의 리뷰 페이지 상으로 3번째 타석의 기록이 나와있지 않기 때문에 타격 기록의 계산이 맞지 않습니다.data 폴더의 기초 자료 소개data 폴더에는 선수 id를 구성하는데 필요한 데이터들과 자료 수집하고 구성하기 위한 데이터들이 있습니다. 그 외에 patch_file이라는 폴더에는 이병규, 허준혁, 이승호 선수의 id 구분을 위한 데이터들이 있습니다. 이 데이터들은 이후 patch.py 파일에서 사용하게 됩니다. record_list.csv 파일은 분석 함수에서 계산할 수 있는 기록들을 모아놓은 데이터 입니다. 이 데이터 파일은 함수 사용시 참고용으로만 사용됩니다. sample 폴더는 이후 경기 자료를 수집하는 코드를 실행시키면 그 결과가 저장되는 폴더입니다. 따라서 이 폴더를 지우게 될 경우 코드 실행시 에러가 발생합니다.스크립트 실행으로 생성되는 자료 소개전체 게임의 리뷰 데이터는 all_data.json 파일로 저장됩니다. 이 json 파일을 이용해 2010년에서 2019년 8월까지의 타자(KBO_batter_data_full.csv)와 투수(KBO_pitcher_data_full.csv)의 경기 기록 데이터가 생성됩니다. 이렇게 생성된 타자와 투수 데이터는 스크립트를 실행하여 id가 생성됩니다. 이렇게 생성된 데이터를 이용해 선수들의 간단한 기록을 비교 분석해 볼 수 있습니다. 경기 정보 데이터(KBO_game_info_data.csv)는 2010년에서 2019년 8월 까지 승패와 같은 결과와 심판, 구장 등의 경기 정보가 저장됩니다.참고 링크Parsing JavaScript rendered pages in Python with pyppeteer | Tchut-Tchut Blog
Package: kbrainsdk
KBRaiN SDK APIThe KBRaiN SDK API is a Python library that provides a simple interface to interact with the KBRaiN services. It includes methods for account creation, key generation, and interacting with the OpenAI chat service.InstallationTo install the KBRaiN SDK API, use pip:pipinstallkbrainsdkUsageSee thekbrainsdk/examples/example.ipynbJupyter notebook for more examples.Here are a few:First, import the library and create an instance of the API client:fromkbrainsdk.apiimportKBRaiNAPIkbrain=KBRaiNAPI(account_id='your_account_id',api_key='your_api_key',base_url="kbrain_base_url")We recommend using environment variables or a tool like Azure Key Vault to inject your api key, do not commit your api key to any source control for security reasons.You can also skip passing in values to the constructor and KBRaiN will reference your environment variables if they are defined with the following names:KBRAIN_BASE_URL
KBRAIN_ACCOUNT_ID
KBRAIN_API_KEYOpenAI ChatTo interact with the OpenAI chat API, use the openai_chat method. This method takes the same arguments as the OpenAI API as of version1.3.3. You can see the API documentation atOpenAIfor details.Here is an example:messages=[{'role':'system','content':'You are a helpful assistant.'},{'role':'user','content':'What is the air speed velocity of an unladen swallow?'}]model_name='gpt-3.5-turbo'# Replace with the model name in the targeted Azure OpenAI Resource. This should be chat for gpt-3x and chat-4 for gpt4.model_type='openai'# Replace with your model typedeployment_id='chat'response=kbrain.llms.openai_chat(messages,model_name,model_type,deployment_id)print(response["response"])print(response["tokens"])OpenAI CompletionTo interact with the OpenAI completions API, use the openai_completion method. This method takes the same arguments as the OpenAI API as of version1.3.3. You can see the API documentation atOpenAIfor details.Here is an example:prompt="Translate this into Spanish: Hello World!"model_name='gpt-3.5-instruct'# Replace with the model name in the targeted Azure OpenAI Resource. This should be chat for gpt-3x and chat-4 for gpt4.model_type='openai'# Replace with your model typedeployment_id='instruct'response=kbrain.llms.openai_completion(prompt,model_name,model_type,deployment_id)print(response["response"])print(response["tokens"])Dataset FeaturesTo interact with the Dataset features, follow the example below:email="<your users email>"token="<your users authentication token into your app>"client_id="<your apps client_id>"oauth_secret="<your apps oauth secret>"tenant_id="<your apps tenant id>"response=kbrain.datasets.list_datasets(email,token,client_id,oauth_secret,tenant_id)LicenseCopyright 2023, KBR Inc.
Package: kbrainsecurity
kbrain-securityCommon security and authentication functions / decorators for KBRAIN projects.Setuppoetry(Poetry)[https://python-poetry.org/docs/] is used to manage project dependencies at the KBRain level. The python version is specified in thepyproject.tomlfile. A virtual environment can be created by running the command:poetry shellFrom there, dependencies can be installed by typingpoetry installpre-commitOnce dependencies have been installed via poetry, use thepre-commit installcommand to configure pre-commit.DevelopmentCreate a feature branch and push your changes there. Open a PR on GitHub. This will trigger CICD and publish a prerelease version of the package with appropriate tags and updates to the pyproject.toml file. Merging a PR into main increments the patch version of the release and tags it appropriately. At this time this package can be installed in KBRAIN services withpipenvusing thegitprotocol.
Package: kbsh
FeaturesNo Need to TypekubectlEvery TimeKbsh accepts the same commands as Kubectl, except you don’t
need to provide thekubectlprefix.If you want to run a shell command rather than a Kubectl
command, you can add the!prefix to your command.Switch Contexts/Namespaces on the FlyYou can provide--context(or-c) option to switch the context,
and--namespace(or-n) option to switch the namespace, before executing
the command.Show Contexts and Namespaces at ToolbarOne man names a resource, many have to remember it. It may help to display all contexts
and namespaces at the bottom of the shell so that no need to useconfigget-contextsandget ns.Aliases and Short OptionsBuilt-in aliases:g->getd->describee->exec-i-tl ``->``logslt->logs--tailld->logs deploy/Built-in short options:-t->--tail-c->--contextAlthough, do not support configuration yet.Highlight OutputUpstream FeaturesKbsh is forked fromkube-shell, and keeps allits features.Installationpip install kbshStatusKbsh has been working great for my personal use case. But given that its aim is to increase
productivity and easy of use, it can be improved in a number of ways. If
you have suggestions for improvements or new features, or run into a bug
please open an issuehere.AcknowledgementKbsh is forked fromkube-shell.Kube-shell is inspired byAWS
Shell,SAWSand uses awesome Pythonprompt
toolkit
Package: kb-stopwatch
kb-stopwatchThis is a keyboard controlled stopwatch that runs in your terminal and
works without window focus. Downside to the window focus thing—you need
to run this as root. But compromises, right?Anyway, this is good for ad-hoc speedrunning. Enjoy!InstallationRun directly from source withsudo ./run_kbstopwatch.pyor install with pip withpip3 install kb-stopwatchand run withsudo kb-stopwatchUsagePress the control key, which currently is restricted to space, to start
the stopwatch. Hit the control key again to stop the timer. Repeat as
many times as desired.
Package: kbtcal
This is a simple library that performs
basic python arithmetic operations.Installationpip install kbtcalUsage:A guide to using the add_numbers function is as followsimport kbtcal
add_num = kbtcal.add_numbers(3, 7) # where 3 and 7 are the number you want to add
print(add_num)The functions in this library are:add_numberssubtract_numbersmultiply_numbersdivide_numbers_floatdivide_numbers_floorpower_numbersmode_numbersVideo Usage GuideA video usage guide is provided via this linkYouTube LinkLicenseCopyright 2021 KenBroTechThis repository is licensed under MIT license.
See LICENSE for details.Change Log1.2 (24/07/2021)
Package: kbtogglr
Simple app designed to toggle laptop keyboard on and off when using a USB keyboardPrerequisitesPython3This package has only been tested on GnomeDependenciesxinputDebian, Ubuntu etc:$sudoaptinstallxinputRHEL, Fedora etc:$sudodnfinstallxinputInstall$pipinstallkbtogglr--userThe app should be available in your applications
Package: kb_transaction
# KB 국민은행 계좌 조회## 왜 만들었나요?KB국민은행에서 작년 '빠른조회'서비스 사이트가 변경되어 기존에 Github에 돌아다니던 조회 도구가 무용지물이 되어,Selenium을 사용한 크롤링 도구를 간단하게 만들었습니다.## 제약현재 국민은행에서는 크롬등의 AX가 지원되지 않는 브라우저는 '가상키보드'를 사용합니다.IE에서는 가상키보드를 사용하지 않고 Selenium의 `send_keys` 메소드를 사용해 입력을 받기 때문에 기존 코드 그대로 사용이 가능합니다.하지만 IE의 제약으로 인해 프로그램이 Windows상에서 구동되어야한다는 문제점이 있습니다.이 패키지는 파이썬 3.5 이상에서 사용가능합니다.## 설치법우선 pip로 받아주세요.```pip install kb-transaction```다음으로는 윈도에서 돌아갈 Selenium StandAlone Server가 필요합니다.[http://docs.seleniumhq.org/download/](http://docs.seleniumhq.org/download/)에서 받아주세요. [바로받기](https://goo.gl/hWYjHR)Selenium을 구동할 때 이 서버는 항상 켜져있어야 합니다.(IE라서...)위 사이트에서 `Internet Explorer Driver`도 받아줘야 합니다. 32비트 버전을 받아주세요. [바로받기](https://goo.gl/BbeFgE)> 64비트 버전을 사용해도 되지만 `send_keys()`가 무척 느려지는 이슈가 있어 사용을 권장하지 않습니다.## 사용법```pythonfrom kb_transaction.crawler import get_balancePATH = 'C:\\Users\\Administrator\\Desktop\\IEDriverServer.exe'transaction_list = get_balance(PATH, '계좌번호', '계좌 비밀번호4자리', '생년월일6자리')for t in transaction_list:print(t)```위에서 받은 `IEDriverServer.exe`의 위치(절대경로)를 첫 인자로 하고 계좌번호와 비밀번호, 생년월일 6자리를 입력하면 아래와 같은 dict로 이루어진 list가 나옵니다.> 유의: 경로 입력시 `\`는 `\\`로 입력해주셔야 제대로 escaping이 됩니다.```json[{'date': datetime.datetime(2017, 9, 5, 18, 3, 52), 'amount': -1250, 'balance': 114645, 'transaction_by': 'KB카드출금'}, ...]```date는 datetime 객체, amount는 입금이면 +int, 출금이면 -int, balance는 현재 계좌 잔고 int, transaction_by는 은행에 찍히는 거래소(입금자명 등)입니다.## 발전계획이전 거래내역과 다른, 새로운 거래내역을 발견시 DB를 업데이트해주는 Django App으로 발전해나가는 것도 고려중입니다.
Package: kbw
Ket Bitwise SimulatorKet Bitwise Simulator (KBW) server is the quantum computer simulator of the Ket
Quantum Programming. The simulator executes Ket Quantum Assembly (.kqasm)
generated by the libket (and the Ket quantum programming language), using the
bitwise representation [arxiv:2004.03560].Table of contents:UsageInstallationKet Bitwise PluginsUsage$kbw-husage: kbw [-h] [--version] [-b] [-p] [-l]Ket Bitwise Simulator serveroptional arguments:-h, --help  show this help message and exit--version   show program's version number and exit-b          Server bind-p          Server port-l          Extra plugin pathInstallationAvailable installation methods:pipSourceInstall using pipTo install using pip runs:$pipinstallkbwInstall from sourceInstall requirements:C/C++ compilerCMakeJavaNinja or GNU MakeSWIGcURLunzipTo install from source runs:$gitclonehttps://gitlab.com/quantum-ket/kbw.git$cdkbw$pythonsetup.pyinstallKet Bitwise PluginsTo get start developing you own plugin for KBW we recommend modify the example
plugin:example.cpp.  Seehttps://quantum-ket.gitlab.io/kbw/namespaceket.htmlfor the Ket Bitwise API documentation.To use your plugin you can reinstall KBW from sourceor add the compiled plugin to the extra plugin path.Compile example plugin$gitclonehttps://gitlab.com/quantum-ket/kbw.git$cdkbw$mkdirbuild$cdbuild$cmake-GNinja..$ninjaexampleAdd plugin to path$kbw-lkbw/build/libDo not execute KBW inside the project directory or subdirectories.This project is part of the Ket Quantum Programming, see the documentation for
more informationhttps://quantum-ket.gitlab.io.
Package: kca
Keras Core AddonsKeras Core Addons is a repository of contributions that conform to well-established API patterns, but implement new
functionality not available in Keras Core. Keras Core natively supports a large number of operators, layers, metrics,
losses, and optimizers. However, in a fast moving field like ML, there are many interesting new developments that cannot
be integrated into core Keras Core (because their broad applicability is not yet clear, or it is mostly used by a
smaller subset of the community).Unlike the package this is inspired by (Tensorflow Addons), Keras Core Addons maintains a near similar structure to
Keras Core, with theactivations,layersandlossesstructure being continued. This is for potential adoption into
Keras Core being as seamless as possible.Setup and InstallationInstalling from PyPIYes, we have publishedkcaon PyPI! To installkcaand all its dependencies, the easiest method would be to usepipto query PyPI. This should, by default, be present in your Python installation. To, install run the following
command in a terminal or Command Prompt / Powershell:$pipinstallkcaDepending on the OS, you might need to usepip3instead. If the command is not found, you can choose to use the
following command too:$python-mpipinstallkcaHere too,pythonorpipmight be replaced withpyorpython3andpip3depending on the OS and installation
configuration. If you have any issues with this, it is always helpful to consultStack Overflow.Installing from SourceTo install from source, you need to get the following:GitGit is needed to install this repository. This is not completely necessary as you can also install the zip file for this
repository and store it on a local drive manually. To install Git, followthis guide.After you have successfully installed Git, you can run the following command in a terminal / Command Prompt etc:$gitclonehttps://github.com/terminalai/kca.gitThis stores a copy in the folderkca. You can then navigate into it usingcd kca.PoetryThis project can be used easily via a tool know as Poetry. This allows you to easily reflect edits made in the original
source code! To installpoetry, you can also install it usingpipby typing in the command as follows:$pipinstallpoetryAgain, if you have any issues withpip, check outhere.After this, you can use the following command to install this library:$poetryinstall
Package: kcalculator
sample-python-packageThis is a basic Python module and you can simply add this by using this command.pip install kcalculator or pip3 install kcalculatorNote:-It basicly perform on addition, subtraction, multiply or divide operations.for Now it perform only basic operation.Ex: - a +b 2+3 = 5How to use this packagefrom calc import calcprint(calc.Number.add_numberes(4,5))This package works for only add_numbers, subtact_numbers, multy_numbers, divide_numbers
Package: kcanal
Design PhilosophyThis is an much more efficient implementation ofcanal.
It is rewritten from scratch to utilize kratos’ efficient hardware generator framework.Originalcanaldescription copied below:Incanal, the hardware is represented as a directed graph (DiGraph).
In principle each node in the graph will be turn into a hardware
component based on the property of the node. The edge will be
transformed into a wire.One thing to notice is that staged generation happens on the graph
level. That is, passes have to be operated on the DiGraph, rather than
the hardware generator itself. This allows better analysis and reduce
the computation overhead sincemagmais slow when constructing large
hardware. Incanal, differentbit widthrouting network will
have different DiGraph by design. This allows us to share the common
passes on different DiGraph while constructing on the same interconnectHow to installpip install kcanalRelationship with CGRA_PNR (Thunder/Cyclone)The internal DiGraph representation is identical toCyclone. Due to
the requirement of pure-Python implementation,canalre-implemented
the graph representation with more utility functions. The PnR
information is interchangeable withThunderandCycloneand thus
can be used in place route directly.There is a python utility package calledarchipelago, that can takeInterconnectobject in canal and perform place and route directly.
To installarchipelago, you can usepip install archipelagoIt will use pre-built Python native wheels to speed up place and route.
Package: kcb
# kcbPython helper to execute bash scripts inside KDEConnect's sshfs mount.The main motivation behind this helper is to backup mysmartphone's photos and Whatsapp folders with a single commandand without resorting to a file manager.The approach however allows a whole range of possible use cases.## Installation and configuration```pip3 install --user kcbmkdir ~/.config/kcbwget https://raw.githubusercontent.com/ReSqAr/kcb/master/Documentation/Examples/My%20Smartphone.sh -O ~/.config/kcb/"PHONENAME.sh"chown u+x ~/.config/kcb/PHONENAME.shpico ~/.config/kcb/PHONENAME.sh```One has to repeat the last three lines such that in the endthe local `~/.config/kcb/` folder contains bash scripts for all phones.Here `PHONENAME` is a placeholder for the KDEConnect phone nameand phones without a corresponding bash script are ignored.These scripts can assume that they are run in the phone's sftp mount point,i.e. the folders `DCIM`, `Downloads`, `Android`, etc are actually directly visible.One should note that the connection can drop,hence the bash script must be sufficiently resilient to avoid tears.### Example bash scriptsThe following is a sample bash script which backups the photo folder, OSMAnd's GPS tracks and the WhatsApp folder to the local `~/MySmartphone` folder.```set -xTARGET="~/MySmartphone"echo "file listing"lsecho "GPS Tracks"rsync --human-readable --progress --archive --ignore-existing --itemize-changes --prune-empty-dirs "Android/data/net.osmand.plus/files/tracks/rec/" "$TARGET/GPS Tracks/"echo "WhatsApp"rsync --human-readable --progress --archive --ignore-existing --itemize-changes --prune-empty-dirs "WhatsApp/" "$TARGET/WhatsApp/"echo "Photos"rsync --human-readable --progress --archive --ignore-existing --itemize-changes --prune-empty-dirs "DCIM/Camera/" "$TARGET/"```## UsageSince we installed the `kcb` executable in `~/.local/bin/`,we start the application via `~/.local/bin/kcb`.There are multiple ways around that,i.e. being able to just type `kcb`;one could add `~/.local/bin` to the `$PATH` variable for exampleor - however use that at your own peril - by running the `pip3` command as `root`.Regarding the command line parameters of `kcb`,you can run `kcb` without any parametersin which case all bash scripts of all phones which are online are executed.Or you can list the names of the deviceswhose bash scripts should be executed.### Example usageAssume that KDE Connect knows two smartphones named `OnePlus` and `Samsung S8`.- `kcb OnePlus` executes just `OnePlus.sh` (if it exists)- `kcb "Samsung S8"` executes just `Samsung S8.sh` (if it exists)- `kcb` executes both shell scripts (if they exist)- `kcb OnePlus "Samsung S8"` executes both shell scripts (if they exist)## LicenseReleased under the [GPL 3](https://opensource.org/licenses/GPL-3.0).## ContactFor bug reports please use the GitHub bug tracker.I would love to hear from you about your thoughts/use cases/etc,just drop me a line via `yasin.zaehringer-kcb@yhjz.de`.
Package: kcbo
KCBO====A Bayesian testing framework written in Python.KCBO Philosophy---------------*The goal of KCBO is to provide an easy to use, Bayesian framework to the masses.*The Bayesian philosophy and framework provide an excellent structure for both asking and answering questions. Bayesian statistics allow us to ask questions in a more natural manner and derive incredibly powerful solutions.Researchers and analysts shouldn't spend hours reading academic papers and finding which conjugate priors they need, which type of sampler their MCMC should have, or when to use MC or MCMC. Software should take care of that computing and researchers should take care of producing insights.The world is ready for a good, clean, and easy to use Bayesian framework. The goal of KCBO is to provide that framework.
Package: kcc
Table of ContentsInstallUsageHackingLicenseInstallpip install kccUsageCurrently running kernel config (enabled with CONFIG_IKCONFIG_PROC).zcat /proc/config.gz | kccConfig from/boot. Common on Debian based distros.kcc /boot/config-$(uname -r)Building kernel from source or release.kcc .configHackinggit clone https://github.com/clearlinux/kernel-config-checker kcc
cd kcc
pip install --user -e .Licensekcc is distributed under the terms of theGPL-3.0 License
Package: kcc2020-tutorial-HAR-dataset
Dataset for KCC2020: Tutorial on Human Activity RecognitionInstallpip install kcc2020-tutorial-HAR-datasetHow to useThis dataset is for the KCC2020 tutorial on human activity recognition.This dataset is originally from UCI's HAPT (Human Activities and Postural Transitions) an modified for KCC 2020 Sensing tutorial.You can download original dataset from theHAPT website(for details of the dataset, seeHAPT dataset website).load_allTo download dataset of entire users, use 'load_all().'For example:fromKCC2020_HAR_datasetimportload_allentire_dataset=load_all()It automatically removes any part of data that has no labels.To obtain data without the removal, please use 'load_all(remove_no_labels = False).'load_by_userTo download dataset of a specific user, use 'load_by_user(uid).'It returns pandas's DataFrame that contains the dataset of the specific user with given uid.There is 30 users; it returns 'None' if uid is greater than 30.For example:fromKCC2020_HAR_datasetimportload_by_useruser1_dataset=load_by_user(1)It automatically removes any part of data that has no labels.To obtain data without the removal, please use 'load_by_user(uid, remove_no_labels = False).'
Package: kc-diagnostics
Diagnostics PypiFawad Mazharfawad.mazhar@nordcloud.com2019OverviewA python package that can be included into your serverless projects. This package is tailored for AWS lambda.The package generates necessary alerts based on incoming message. It first reads a configuration file and based on that, it returns alerts along with the available translations.RuntimePython v2.7Pre-requisitesYou will need to install:PythonpipInstallpip install kc-diagnosticsGetting Startedfrom kc_diagnostics import Diagnostics
diagnostics = Diagnostics()
alerts = diagnostics.generate_alerts( dumped_json )Prerequisites for the consuming applicationInstall dependeniespip install boto3Export required environment variables:export TARGET_AWS_REGION=
export BUFFERS_TABLE_NAME=
export TRIGGERS_TABLE_NAME=Make sure these dynamodb tables exist in your desired AWS account.Add permissions to your lambda function. For example:Effect: Allow
Action:
  - dynamodb:Query
  - dynamodb:Scan
  - dynamodb:GetItem
  - dynamodb:PutItem
  - dynamodb:UpdateItem
  - dynamodb:BatchGetItem
Resource:
  - {"Fn::Join": ["", ["arn:aws:dynamodb:", {"Ref": "AWS::Region"}, ":", {"Ref":"AWS::AccountId"}, ":table/${BUFFERS_TABLE_NAME}"]]}
  - {"Fn::Join": ["", ["arn:aws:dynamodb:", {"Ref": "AWS::Region"}, ":", {"Ref":"AWS::AccountId"}, ":table/${TRIGGERS_TABLE_NAME}"]]}Available TranslationsGerman
Spanish
French
Italian
Portuguese
Package: kcfconvoy
# KCF-Convoy: efficient Python package to convert KCF chemical substructure fingerprintsKCF-Convoy is a new Python package to generate KCF formats and KCF-S fingerprints from Molfile, SDF, SMILES and InChI seamlessly.
Obtained KCF-S were applied to a series of machine learning binary classification methods to distinguish herbicides from other pes- ticides, and also to find characteristic substructures in a specific genus.Visit [GitHub Wiki](https://github.com/KCF-Convoy/kcfconvoy/wiki) for more details.## UsageUse conda`bash $ git clonegit@github.com:KCF-Convoy/kcfconvoy.git$ cd kcfconvoy $ conda install-cconda-forgerdkit $ python3 setup.py install `Use docker and docker-compose`bash $ git clonegit@github.com:KCF-Convoy/kcfconvoy.git$ cd kcfconvoy $docker-composeup-d--build$docker-composeexec app bashroot@e9ea26cc0217:/opt/kcfconvoy#python3 Python 3.8.0 | packaged byconda-forge| (default, Nov 22 2019, 19:11:38) [GCC 7.3.0] :: Anaconda, Inc. on linux Type "help", "copyright", "credits" or "license" for more information. >>> import kcfconboy >>> `### Run tests`bash $ cd tests $ python-munittest *.py `## ContactAuthor:maskot@chemsys.t.u-tokyo.ac.jpMaintainer:suecharo@g.ecc.u-tokyo.ac.jp## LicenseMIT