Saravanan666/pypi-org huggingface dataset:
Package: yd
# yd* introduction* A terminal bilingual dictionary by youdao API* features* soundmark, definition, example sentence for English word* pinyin and bilingual example sentence for chinese word### Installsudo pip install yd### Help```Input[0]:yd --helpOutput[1]:yd [options] word-h, --help              display the help and exit-v, --version           output version information and exit-o, --output=filename   output cached word to file--reset                 reset to initial state```### Examples![](ex.png)### Thanks to the idea of Flowerowl's work <https://github.com/Flowerowl/ici>
Package: ydata-core
YData python core packageCore functionality for all python packages at YDataContributingWe are open to collaboration! If you want to start contributing you can in different ways:Search for an issue in which you would like to work and open a PR with the resolution.Create an issue with something that you would like to see and work on it opening a PR with the resolution if you feel confident for.Create a PR with something that you would like to seeIn any case we will only provide our feedback and either approve it or ask for some change/revision.SupportFor support in using this library, please join the #help Slack channel. The Slack community is very friendly and great about quickly answering questions about the use and development of the library.Click here to join our Slack community!About 👯‍♂️With ❤️ fromYDataDevelopment teamLicenseMIT License
Package: ydata-datascience
YData python core packageCore functionality for all python packages at YDataContributingWe are open to collaboration! If you want to start contributing you can in different ways:Search for an issue in which you would like to work and open a PR with the resolution.Create an issue with something that you would like to see and work on it opening a PR with the resolution if you feel confident for.Create a PR with something that you would like to seeIn any case we will only provide our feedback and either approve it or ask for some change/revision.SupportFor support in using this library, please join the #help Slack channel. The Slack community is very friendly and great about quickly answering questions about the use and development of the library.Click here to join our Slack community!About 👯‍♂️With ❤️ fromYDataDevelopment teamLicenseMIT License
Package: yDataPrep
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.new: custom map function => map_function = your_function (having the facility of tokenization)InstallationYou can install the package using pip:pipinstallyDataPrep
Package: ydata-sdk
YData SDK🎊 YData SDK for improved data quality everywhere!ydata-sdkv0.1.0 is here! Create aYData accountso you can start using today!Documentation|More on YDataOverviewThe YData SDK is an ecosystem of methods that allows users to, through a python interface, adopt a Data-Centric approach towards the AI development. The solution includes a set of integrated components for data ingestion, standardized data quality evaluation and data improvement, such as synthetic data generation, allowing an iterative improvement of the datasets used in high-impact business applications.Synthetic data can be used as Machine Learning performance enhancer, to augment or mitigate the presence of bias in real data. Furthermore, it can be used as a Privacy Enhancing Technology, to enable data-sharing initiatives or even to fuel testing environments.Under the YData SDK hood, you can find a set of algorithms and metrics based on statistics and deep learning based techniques, that will help you to accelerate your data preparation.What you can expect:YData SDK is composed by the following main modules:DatasourcesYData’s SDK includes several connectors for easy integration with existing data sources. It supports several storage types, like filesystems and RDBMS. Check the list of connectors.SDK’s Datasources run on top of Dask, which allows it to deal with not only small workloads but also larger volumes of data.SynthesizersSimplified interface to train a generative model and learn in a data-driven manner the behavior, the patterns and original data distribution. Optimize your model for privacy or utility use-cases.From a trained synthesizer, you can generate synthetic samples as needed and parametrise the number of records needed.Synthetic data quality reportComing soonAn extensive synthetic data quality report that measures 3 dimensions: privacy, utility and fidelity of the generated data. The report can be downloaded in PDF format for ease of sharing and compliance purposes or as a JSON to enable the integration in data flows.ProfilingComing soonA set of metrics and algorithms summarizes datasets quality in three main dimensions: warnings, univariate analysis and a multivariate perspective.Supported data formatsTabularTheRegularSynthesizeris perfect to synthesize high-dimensional data, that is time-independent with high quality results.Time-SeriesTheTimeSeriesSynthesizeris perfect to synthesize both regularly and not evenly spaced time-series, from smart-sensors to stock.
Package: ydb
YDB Python SDKOfficially supported Python client for YDB.QuickstartPrerequisitesPython 3.8 or higherpipversion 9.0.1 or higherIf necessary, upgrade your version ofpip:$python-mpipinstall--upgradepipIf you cannot upgradepipdue to a system-owned installation, you can
run the example in a virtualenv:$python-mpipinstallvirtualenv
$virtualenvvenv
$sourcevenv/bin/activate
$python-mpipinstall--upgradepipInstall YDB python sdk:$python-mpipinstallydb
Package: yd-base
YD-BASE-PYA python package that houses yellow dot's common classes & code across its microservicesInstallation from GitHubpip install git+https://github.com/Yellow-Dot-Energy-Company-Ltd/yd_base_py.gitInstallation from GitHub (specific branch)pip install git+'url branch'Installation from GitHub (specific tag)pip install git+'url tag'Installation from GitHub (specific commit)pip install git+'url commit'Installation from GitHub (Package)pip install git+'url package'Installation from PyPipip install yd-base-pyRequirementsPython 3.6+pip 20.0.2+pytest 5.4.1+twine 3.1.1+setuptools 46.1.3+firebase-admin 4.4.0+FeaturesYDLoggerYDFirebaseYDFirebaseUserUtilsYDFirebaseFCMFBUserResponseResponseUsagefrom yd_base_py import YDLogger
logger = YDLogger.get_logger(__name__)
logger.info("Hello World")Developmentgit clone 'Repo URL'
cd yd_base_py
pip install -e .Testingpip install -r requirements.txt
pytestPublishingpython setup.py sdist bdist_wheel
twine upload dist/*LicenseMITGNUContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.AuthorsBruno KipropJamie Omondi
Package: yd-base-1.0.2
YD-BASE-PYA python package that houses yellow dot's common classes & code across its microservicesInstallation from GitHubpip install git+https://github.com/Yellow-Dot-Energy-Company-Ltd/yd_base_py.gitInstallation from GitHub (specific branch)pip install git+'url branch'Installation from GitHub (specific tag)pip install git+'url tag'Installation from GitHub (specific commit)pip install git+'url commit'Installation from GitHub (Package)pip install git+'url package'Installation from PyPipip install yd-base-pyRequirementsPython 3.6+pip 20.0.2+pytest 5.4.1+twine 3.1.1+setuptools 46.1.3+firebase-admin 4.4.0+FeaturesYDLoggerYDFirebaseYDFirebaseUserUtilsYDFirebaseFCMFBUserResponseResponseUsagefrom yd_base_py import YDLogger
logger = YDLogger.get_logger(__name__)
logger.info("Hello World")Developmentgit clone 'Repo URL'
cd yd_base_py
pip install -e .Testingpip install -r requirements.txt
pytestPublishingpython setup.py sdist bdist_wheel
twine upload dist/*LicenseMITGNUContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.AuthorsBruno KipropJamie Omondi
Package: yd-base-1.0.3
YD-BASE-PYA python package that houses yellow dot's common classes & code across its microservicesInstallation from GitHubpip install git+https://github.com/Yellow-Dot-Energy-Company-Ltd/yd_base_py.gitInstallation from GitHub (specific branch)pip install git+'url branch'Installation from GitHub (specific tag)pip install git+'url tag'Installation from GitHub (specific commit)pip install git+'url commit'Installation from GitHub (Package)pip install git+'url package'Installation from PyPipip install yd-base-pyRequirementsPython 3.6+pip 20.0.2+pytest 5.4.1+twine 3.1.1+setuptools 46.1.3+firebase-admin 4.4.0+FeaturesYDLoggerYDFirebaseYDFirebaseUserUtilsYDFirebaseFCMFBUserResponseResponseUsagefrom yd_base_py import YDLogger
logger = YDLogger.get_logger(__name__)
logger.info("Hello World")Developmentgit clone 'Repo URL'
cd yd_base_py
pip install -e .Testingpip install -r requirements.txt
pytestPublishingpython setup.py sdist bdist_wheel
twine upload dist/*LicenseMITGNUContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.AuthorsBruno KipropJamie Omondi
Package: ydb-dstool
What is ydb-dstoolydb-dstool stands for YDB Distributed Storage Tool. It facilitates administration of YDB storage.How to run ydb-dstoolInstall ydb-dstool packageuser@host:~$pipinstallydb-dstoolSet up environment and runuser@host:~$exportPATH=${PATH}:${HOME}/.local/bin
user@host:~$ydb-dstool-eydb.endpointclusterlistWhere to find more infohttps://github.com/ydb-platform/ydb/blob/main/ydb/apps/dstool/README.md
Package: ydbf-py3
Read/write DBF (DBase/XBase) files from Python. This is a pure-Python
implementation with no external dependencies.Quickstartpip install ydbf-py3ReadingThe entrypoint of YDbf is anopenfunction:dbf=ydbf.open('simple.dbf')You can use file name, or already opened (in binary mode) file:withydbf.open('simple.dbf')asdbf:forrecordindbf:...Each record is represented asdict, where keys are names of fields.WritingBy default, YDbf opens file for reading, but you may set optionmodeto
open for writing:withydbf.open('simple.dbf','w',fields)asdbf:dbf.write(data)Or pass in a file handle:withopen('simple.dbf','wb')asfh:dbf=ydbf.open(fh,'w',fields)fieldsis a structure description of DBF file, it is required option for
writing mode. Structure defined as sequence of field descriptions,
where each fields described by tuple(NAME, TYP, SIZE, DEC). WhereNAMEis a name of field,TYP–DBFtype of field ('N'for number,'C'for
char,'D'for date,'L'for logical), DEC is a precision (useful for'N'type only). For example, like this:fields=[('ID','N',4,0),('VALUE','C',40,0),('UPDATE','D',8,0),('VISIBLE','L',1,0),]YDbf uses unicode for'C'fields by default, so you may want to define
encoding which be used for DBF file. Sadly, UTF-8 is not available, only
old scrappy 8-bits.dbf=ydbf.open('simple.dbf','w',fields,encoding='cp1251')dbf.write(data)YDbf getsdataas iterator where each item is a dict, where
keys are name of fields. For early defined example it may looks likedata=[{'ID':1,'VALUE':'ydbf','VISIBLE':True,'UPDATE':datetime.date(2009,7,14)},{'ID':2,'VALUE':'ydbf-dev','VISIBLE':False,'UPDATE':datetime.date(2009,5,15)},{'ID':3,'VALUE':'pytils','VISIBLE':True,'UPDATE':datetime.date(2009,5,11)},]
Package: ydcommon
System RequirementsPython 2.7+SettingsIGNORE_QUNIT_HTML_FILESignore HTML qunits filesJSHINT_FILES_FINDJS Hint search files grep. Default-name"*.js"| xargs grep-l'/\*jslint'| grep-vlibsViewsQunitTestsViewQunit tests (stuff permission required), example entry in urls.py:url(r"^js-tests/(?P<path>.*)", 'ydcommon.views.qunit_view', name='quinit'),CommandsChecking requirement for tests:./manage.py check_test_requirementsRunning Qunit tests./manage.py run_qunitRunning JS Hint./manage.py jshintRunning JS Hint with custom directory./manage.py jshint --dir=my/custom/dirClear database - drop all tables./manage.py clear_databaseDump database./manage.py dump_database
Package: ydcv
Simple wrapper for Youdao online translate (Chinese <-> English) serviceAPI, as an
alternative to the StarDict Console Version(sdcv).注意本工具已经停止公共服务。用户若要继续使用，需申请一个私人的有道智云API Key配置使用。 大致步骤为： 翻译实例-创建实例-选“文本翻译”，
我的应用-创建应用-接入方式：API-选择绑定刚才创建的自然语言翻译服务-文本翻译实例。
得到的应用ID/应用密钥即为本工具的YDAPPID/YDAPPSEC。本工具可通过环境变量YDCV_YOUDAO_APPID和YDCV_YOUDAO_APPSEC和ini文件方式配置key。配置文件默认为~/.ydcv，也可用--config指定。
配置文件例子：[YDCV]
YDAPPID=123456
YDAPPSEC=abcd1234Usage$ ydcv --help
usage: ydcv.py [-h] [-f] [-s] [-S] [-r] [-p {festival,mpg123,sox,mpv}]
               [-a {auto,uk,us}] [-x] [--color {always,auto,never}]
               [-F {zh-CHS,ja,EN,ko,fr,ru,pt,es,vi,de,ar,id}]
               [-t {zh-CHS,ja,EN,ko,fr,ru,pt,es,vi,de,ar,id}]
               [words [words ...]]

Youdao Console Version

positional arguments:
  words                 words to lookup, or quoted sentences to translate.

optional arguments:
  -h, --help            show this help message and exit
  -f, --full            print full web reference, only the first 3 results
                        will be printed without this flag.
  -s, --simple          only show explainations. argument "-f" will not take
                        effect.
  -S, --speech          print URL to speech audio.
  -r, --read            read out the word with player provided by "-p" option.
  -p {festival,mpg123,sox,mpv}, --player {festival,mpg123,sox,mpv}
                        read out the word with this play.Default to 'festival'
                        or can be 'mpg123', 'sox', 'mpv'.-S option is required
                        if player is not festival.
  -a {auto,uk,us}, --accent {auto,uk,us}
                        set default accent to read the word in. Default to
                        'auto' or can be 'uk', or 'us'.
  -x, --selection       show explaination of current selection.
  --color {always,auto,never}
                        colorize the output. Default to 'auto' or can be
                        'never' or 'always'.
  -F {zh-CHS,ja,EN,ko,fr,ru,pt,es,vi,de,ar,id}, --from {zh-CHS,ja,EN,ko,fr,ru,pt,es,vi,de,ar,id}
                        Translate from specific language. Default: EN
  -t {zh-CHS,ja,EN,ko,fr,ru,pt,es,vi,de,ar,id}, --to {zh-CHS,ja,EN,ko,fr,ru,pt,es,vi,de,ar,id}
                        Translate to specific language. Default: zh-CHS翻译支持的语言列表--from和--to参数可以指定特定语言之间相互翻译，但只有中文结果有词典内容语言代码语言代码语言代码语言代码中文zh-CHS葡萄牙文pt韩文ko德文de日文ja西班牙文es法文fr阿拉伯文ar英文EN越南文vi俄文ru印尼文idInstallationpip install ydcvEnvironmentPython ( >=2.7, 3.x )Similar Projects on githubLangProjectAuthorGoydgoboyptRUSTydcv-rsfarseerfcRUSTydcv-rustpasschaosPowershellydcv.ps1atupalBASHydcv-bash-versionMasterCsquarePerlydcvJaHIYCcydcvproudzhuC++ydcv-cppproudzhuVimydcv.vimbennyyipErlangydcv-elzhenglinjHaskellydcv-hsproudzhu
Package: ydf
Port of Yggdrasil / TensorFlow Decision Forests for PythonThe Python port of Yggdrasil Decision is a light-weight wrapper around Yggdrasil
Decision Forests. It allows direct, fast access to YDF's methods and it also
offers advanced import / export, evaluation and inspection methods. While the
package is called YDF, the wrapping code is sometimes lovingly calledPYDF.It is not a replacement for its sister projectTensorflow Decision Forests(TF-DF). Instead, it complements TF-DF for use cases that cannot be solved
through the Keras API.InstallationTo install YDF, in Python, simply grab the package from pip:pip install ydfUsage Exampleimportydfimportpandasaspdds_path="https://raw.githubusercontent.com/google/yggdrasil-decision-forests/main/yggdrasil_decision_forests/test_data/dataset"train_ds=pd.read_csv(f"{ds_path}/adult_train.csv")test_ds=pd.read_csv(f"{ds_path}/adult_test.csv")model=ydf.GradientBoostedTreesLearner(label="income").train(train_ds)print(model.evaluate(test_ds))model.save("my_model")loaded_model=ydf.load_model("my_model")Compiling & BuildingTo build the Python port of YDF, install Bazel, GCC 9 and run the following
command from the root of the port/python directory in the YDF repositoryPYTHON_BIN=python3.9
./tools/test_pydf.sh
./tools/build_pydf.sh$PYTHON_BINBrowse thetools/directory for more build helpers.Frequently Asked QuestionsIs it PYDF or YDF?The name of the library is simply ydf, and so is the
name of the corresponding Pip package. Internally, the team sometimes uses
the namePYDFbecause it fits so well.What is the status of PYDF?PYDF is currently in Alpha development. Most
parts already work well (training, evaluation, predicting, export), some new
features are yet to come. The API surface is mostly stable but may still
change without notice.Where is the documentation for PYDF?The documentation is
available onhttps://ydf.readthedocs.org.How should I pronounce PYDF?The preferred pronunciation is
"Py-dee-eff" / ˈpaɪˈdiˈɛf (IPA)
Package: ydiskarc
ydiskarc (pronouncedAi-disk-arc) is a command line tool used to backup Yandex.Disk public resources.
Public resources are opnly shared files and folders from Yandex.Disk service.
Yandex provides free-to-use API that allow to download the data.Contents1Main features2Installation2.1Any OS2.2Python version3Usage4Commands4.1Sync command4.2Full command1Main featuresMetadata extractionDownload any public resource file or directory2Installation2.1Any OSA universal installation method (that works on Windows, Mac OS X, Linux, …,
and always provides the latest version) is to use pip:# Make sure we have an up-to-date version of pip and setuptools:$pipinstall--upgradepipsetuptools$pipinstall--upgradeydiskarc(Ifpipinstallation fails for some reason, you can tryeasy_install ydiskarcas a fallback.)2.2Python versionPython version 3.6 or greater is required.3UsageSynopsis:$ydiskarc[command][flags]See alsopython-mydiskarcandydiskarc [command]--helpfor help for each command.4Commands4.1Sync commandSynchronizes files and metadata from public resource of directory type to the local directory.Extracts all files and metadata from “https://disk.yandex.ru/d/VVNMYpZtWtST9Q” resource to the dir “mos9maystyle”$ydiskarcsync--urlhttps://disk.yandex.ru/d/VVNMYpZtWtST9Q-omos9maystyle4.2Full commandDownloads single file or directory. Single file downloaded with original file format. Directory downloaded as ZIP file
with all files inside.Downloads file from url “https://disk.yandex.ru/i/t_pNaarK8UJ-bQ” and saves it into folder “files” with metadata saved as “_metadata.json”$ydiskarcfull--urlhttps://disk.yandex.ru/i/t_pNaarK8UJ-bQ-ofiles-v-m
Package: ydiskdown
Yandex Disk Downloader toolПримеры работы через командную строку:Вывести ссылку на прямое скачивание в консольpython ydown.py --url https://yadi.sk/d/ykm7UqF3nPveYСохранить файл с именем из дискаpython ydown.py -d --url https://yadi.sk/d/ykm7UqF3nPveYСохранить файл по указаному путиpython ydown.py -d --url https://yadi.sk/d/ykm7UqF3nPveY -o ./filename.ext
Package: ydk
The YANG Development Kit (YDK) is a Software Development Kitthat provides API’s that are modeled in YANG. The main goal
of YDK is to reduce the learning curve of YANG data models by
expressing the model semantics in an API and abstracting
protocol/encoding details. YDK is composed of a core package
that defines services and providers, plus one or more module
bundles that are based on YANG models.
Package: ydk-models-cisco-ios-xe
This YANG Development Kit (YDK) bundle provides APIs for Cisco IOS XE YANG models. YDK facilitates the use of YANG data models by expressing the model semantics in an API and abstracting protocol/encoding details.  YDK is composed of a core package that defines services and providers, plus one or more module bundles.  This YDK bundle for Cisco IOS XE models uses the YDK core package and additional model bundles.  You can find the SDK documentation athttp://ydk.cisco.com/py/docsYou can find more details on YDK athttp://ydk.io
Package: ydk-models-cisco-ios-xr
This YANG Development Kit (YDK) bundle provides APIs for Cisco IOS XR YANG models. YDK facilitates the use of YANG data models by expressing the model semantics in an API and abstracting protocol/encoding details.  YDK is composed of a core package that defines services and providers, plus one or more module bundles.  This YDK bundle for Cisco IOS XR models uses the YDK core package and additional model bundles.  You can find the SDK documentation athttp://ydk.cisco.com/py/docsYou can find more details on YDK athttp://ydk.io
Package: ydk-models-cisco-nx-os
This YANG Development Kit (YDK) bundle provides APIs for Cisco NX-OS YANG models. YDK facilitates the use of YANG data models by expressing the model semantics in an API and abstracting protocol/encoding details.  YDK is composed of a core package that defines services and providers, plus one or more module bundles.  This YDK bundle for Cisco NX-OS models uses the YDK core package and additional model bundles.  You can find the SDK documentation athttp://ydk.cisco.com/py/docsYou can find more details on YDK athttp://ydk.io
Package: ydk-models-ietf
This YANG Development Kit (YDK) bundle provides APIs for IETF YANG models. YDK facilitates the use of YANG data models by expressing the model semantics in an API and abstracting protocol/encoding details.  YDK is composed of a core package that defines services and providers, plus one or more module bundles.  This YDK bundle for IETF models uses the YDK core package.  You can find the SDK documentation athttp://ydk.cisco.com/py/docsYou can find more details on YDK athttp://ydk.io
Package: ydk-models-openconfig
This YANG Development Kit (YDK) bundle provides API for openconfig YANG models. YDK facilitates the use of YANG data models by expressing the model semantics in an API and abstracting protocol/encoding details.  YDK is composed of a core package that defines services and providers, plus one or more module bundles.  This YDK bundle for OpenConfig models uses the YDK core package and additional model bundles.  You can find the SDK documentation athttp://ydk.cisco.com/py/docsYou can find more details on YDK athttp://ydk.io