Saravanan666/pypi-org huggingface dataset:
Package: interzoid-full-name-match-key
interzoid_full_name_match_keyPython package for generating a similarity key from the input data used to match with other similar full name data. Use the generated similarity key, rather than the actual data itself, to match and/or sort individual name data by similarity. This avoids the problems of data inconsistency, misspellings, and name variations when matching within a single dataset, and can also help matching across datasets or for more advanced searching.The key generation is based on a series of tests, algorithms, AI, and an ever-growing body of Machine Learning-based generated knowledge. As the context of the data is known, in this case individual person names, it performs far better than generic string comparison algorithms.UsageTo generate the similarity key, you will need the following information:an API License key, available athttps://www.interzoid.coman individual full name to generate the similarity key forAn API is called by the package to access the Cloud server that generates the similarity key.Begin by importing the package:from interzoid_full_name_match_key import full_name_match_keyThen, provide the information into the get_key() method:sim_key, credits, http_code, msg = full_name_match_key.get_key('YOUR-API-KEY','Mr. Jim Smith')

#200 is the HTTP status for OK
if http_code == 200:  
    print(sim_key, msg, credits)
else:
    print(sim_key, "error:", http_code, msg, credits)The return values will be the generated similarity key, a code (success or failure), how many remaining credits on your API key, and any error messages. The similarity key can be used to search for other similar individual person names, to sort large datasets by similarity, and perhaps use additional attributes to identify duplicates/redundancy.Examples:jim smith  ->  7Kbdndkyln_1iZckUFnSOpwEve7t_USswPjJDAy2Qek
James E. Smyth  ->  7Kbdndkyln_1iZckUFnSOpwEve7t_USswPjJDAy2Qek

SALLY ANDERSON  ->   fOjMwYe9hOgKTa5LCDruK-NgkyDzasOV9Fqf-luTWXw
Ms Sallie P. Andersen  ->  fOjMwYe9hOgKTa5LCDruK-NgkyDzasOV9Fqf-luTWXw
Package: interzoid-full-name-match-score
interzoid_full_name_match_scorePython package for generating a match score of two individual person names from 0-100, where 100 is the highest matching score, on how closely two individual full names are likely to be a match. The scoring is based on a series of tests, algorithms, AI, and an ever-growing and improving body of Machine Learning-based generated knowledge. As the context of the data is known, in this case individual person names, it performs far better than generic string comparison algorithms.UsageTo generate the match score, you will need the following information:an API License key, available athttps://www.interzoid.comtwo individual full names to compareAn API is called by the package to access the Cloud server that performs the comparison and provides the score.Begin by importing the package:from interzoid_full_name_match_score import full_name_match_scoreThen, provide the information into the get_score() method:score, credits, http_code, msg = full_name_match_score.get_score('YOUR-API-KEY','Jim Smith','Mr. James Smythe')

#200 is the HTTP status for OK
if http_code == 200:  
    print(score, msg, credits)
else:
    print(score, "error:", http_code, msg, credits)The return values will be the generated match comparison score (0-100), how many remaining credits on your API license key, an http code, and a message (OK or Error). The score allows you to set a score threshold in your own logic for your specific case, for example, any score higher than 50 can be considered a "match" (or 60, 70, etc.)Examples:"James Kelly", "Jim Kelly"  ->  85

"Mr Robert J McCarthy", "Bob Macarthy"  ->  80
Package: intex-spa
intex-spaAn AsyncIO-compatible Intex Spa wifi clientDescriptionThis python package aims to provide an interface with the Intex Spa wifi module.It is compatible with Intex wifi-enabled spas without any specific hardware, as it uses the built-in Intex wifi module.It uses direct TCP connection to the spa, and does not require access to the Intex cloud. The built-in Intex wifi module only has to be connected to a wifi Access Point.It is written with asyncio network functions. It only supports asyncio usage.User installationpython3-mpipinstall-Uintex-spaUsage examplesBelow are some examples, seeexamplesdirectory for more delight.Retrieve spa statusfromintex_spaimportIntexSpaasyncdefuse_intex_spa():intex_spa=IntexSpa(SPA_ADDRESS)awaitintex_spa.async_update_status()asyncio.run(use_intex_spa())Set spa function statefromintex_spaimportIntexSpaasyncdefuse_intex_spa():intex_spa=IntexSpa(SPA_ADDRESS)awaitintex_spa.async_set_heater(True)asyncio.run(use_intex_spa())VersioningThe versioning of this python package follows Semantic Versioning 2.0.0Reminder: Major version zero (0.y.z) is for initial development. Anything MAY change at any time. The public API SHOULD NOT be considered stable.For Changelog, please readreleases.
Package: intf
intfprovides a simple base class for integers with specified
default formatting. Define your own subclasses derived fromBaseIntFand specify desired formatting right with the class name. Decimal,
binary, octal and hexadecimal formats are supported. SeeBaseIntFfor
more details.Example:from intf import BaseIntF

class int_04X(BaseIntF):
    pass

x = int_04X(123)
print '{}'.format(x)  # prints 0x007B

class int_06o(BaseIntF):
    pass

y = int_06o(123)
print '{}'.format(y)  # prints 0o000173

class int_08b(BaseIntF):
    pass

z = int_08b(123)
print '{}'.format(z)  # prints 0b01111011

print '{:02x}'.format(z)  # still prints 7b
Package: intflags
intflagsSimplest way to create bit-flags.$pipinstallintflagsUsageCreate any number of intflags by usingintflags.get(). You can create a union of any amount using the pipe (|) operator.>>>importintflags>>>a,b,c=intflags.get(3)>>>bin(a|b|c)'0b111'>>>flags=a|b>>>ainflagsTrue>>>cinflagsFalseFlags can be subtracted.# ...>>>new_flags=flags-b>>>binnew_flagsFalse>>>new_flags==aTrueYou could use classes as a pseudo-namespace.>>>classRegexFlags:...I,L,M,S,U,X=intflags.get(6)Flags share an internal "namespace" ID to prevent accidental conflicts between sets. This allows multiple sets of flags to exist within the same class or module, without risk of accidentally creating a union between them.>>>x=intflags.get(1)>>>y=intflags.get(1)>>>x|yTraceback(mostrecentcalllast):File"<stdin>",line1,in<module>...ValueError:Flagsmustshareanamespacetocreateaunion.LicenseIntFlags is licensed under the ISC license. A copy of the license is included in the root of this repository and in the source of the module.
Package: intgr-bir-api
An API for BIR1 (Baza Internetowa REGON 1) allows requesting for polish company data providing KRS, REGON or VAT number. It requires private GUS API key.Requirementsbir-api requires Python 2.7 or Python 3.3 or newer and Django 1.7.InstallationTo install bir-api, run the following command inside this directory:python setup.py installYou can also install the package with a symlink, so that changes to the source files will be immediately available to other users of the package on your system:python setup.py developIf you have the Pythoneasy_installutility available, you can also type
the following to download and install in one step:easy_install intgr-bir-apiOr if you’re usingpip:pip install intgr-bir-apiTo install bir-api from SVN directly:pip install -e svn+http://example.com/svn/intgr_bir_api/trunk#egg=bir_apior, if you need install from branch:pip install -e svn+http://example.com/svn/intgr_bir_api/branches/dev_0_2#egg=bir_apiOr if you’d prefer you can simply place the included “bir_api” directory
somewhere on your python path, or symlink to it from somewhere on your Python
path.AuthorsThe project implemented byIntegree Bussines Solutionsfrom Warsaw, Poland
Package: intheam
Python client module for theInthe.AMREST API:importasyncio,intheam,osdefprint_task_list_ids(result):fortaskin(yield fromresult):print(task.uuid)api=intheam.InTheAm(os.getenv("INTHEAM_API_TOKEN"))asyncio.get_event_loop().run_until_complete(print_task_list_ids(api.pending()))InstallationThe stable releases are uploaded toPyPI, so you
can install them and upgrade usingpip:pip install intheamAlternatively, you can install development versions —at your own risk—
directly from the Git repository:pip install -e git://github.com/aperezdc/intheam-pythonDocumentationThere is no documentation for now. In the meanwhile, please read the source
code.DevelopmentIf you want to contribute, please use the usual GitHub workflow:Clone the repository.Hack on your clone.Send a pull request for review.If you do not have programming skills, you can still contribute byreporting
issuesthat you may
encounter.
Package: intime-sdk
InTime SDKThe objective of InTime SDK is to create, configure, and manage InTime services, such as Creating and Sending SMS's.
The SDK provides an object-oriented API as well as low-level access to InTime services.Installationpip install intime-sdkInTime SDK supports Python 3.6+.DocumentationInstantiate the Messages class to send SMSfromintime_sdkimportMessages# initialize the Message class with required paramsMessages(username='your-username',secret_key='your-secret-key').send_sms(sender_title="test-sender",message_body="Hello from Intime!!",recipients=["+123456789"],group_id="1",)Parameter Definitionsend_sms():param sender_title: (String) Sender of the message. Use maximum 11 alphanumeric characters or 15 numeric chars.
 Allowed alphanumeric chars is aA-zZ, 0-9, space, .(dot), -(binding char), or +(plus).
 Only English characters are allowed.

:param message_body: (String) Message text.
 SMS is allowed to contain a maximum of 160 characters. Multi-SMS is allowed to contain a maximum of
 804 characters (6 SMS with 134 characters each).

:param recipients: (List) Phone number of the recipients to receive the message. At least one recipient or group
 must be addressed.

:param group_id: (String) The groups Identification number.

:param is_flash_msg: (Boolean | Default: False) If this parameter is set to True, method will send a Flash
 message (maximum 160 characters) and otherwise it will send a Normal message.

:param is_multi_sms: (Boolean | Default: False) If this parameter is set to True, method will send send up to
 six SMS or 804 characters and otherwise it will send a Normal message.

:param send_date: (Optional; String | Default: None) Date/time for scheduled sending, If the message is to be
 sent directly/right now, ignore this parameter. (Format: 2012-01-13T14:41:00)

:param status_url: (Optional; String | Default: None) URL for the server to send message status callbacks.

:param check_block_list: (Boolean | Default: False) If this parameter is set to True, method will check
 the user's block list for group mailings.

:param encrypt_msg: (Boolean | Default: False) Flag that indicates whether the message should be encrypted after
 it's sent. Sent messages cannot be read in Messenger.

:param trans_id: (Optional; String | Default: None) Value to send to the status url with the callback, this
 could be a uniq id generated for each recipient and used in callback to link the status callback.
 This is mandatory if status_url is used!
Package: intimezone
IntroductionThis package is based on the librarypytz. Provides an interface, converting naive and localized time to another time zone. You can choose how the new time zone will be added - it will be added directly on the date itself or displayed separately (examples will be discussed below). You can also specify a date output template. Templates need to be configured according to thedatetimelibrary’s templates table.Installationpython-mpipinstallintimezoneExample & UsageThis library supports only two methods of conversion. The first isflag='convert'(flag=None) adds a timezone to the base date. The secondflag='localize'adds the time zone separately.Test dataset:>>>fromintimezoneimportconvert>>>ntime=1545695999# naive time>>>ltime=1545695999.5219207# localized timeDefault settings:>>>convert(ntime)# naive time'Mon, 24 Dec 2018 23:59:59'>>>convert(ltime)# localized time'Mon, 24 Dec 2018 23:59:59'The values flag=’convert’:>>>convert(ntime,tz='Europe/Madrid',flag='convert')# naive time'Tue, 25 Dec 2018 00:59:59'>>>convert(ltime,tz='Europe/Madrid',flag='convert')# localized time'Tue, 25 Dec 2018 00:59:59'The values flag=’localize’:>>>convert(ntime,tz='Europe/Madrid',flag='localize')# naive time'Mon, 24 Dec 2018 23:59:59 +0100(CET)'>>>convert(ltime,tz='Europe/Madrid',flag='localize')# localized time'Mon, 24 Dec 2018 23:59:59 +0100(CET)'Custom template for date:>>>convert(ntime,tz='Europe/Madrid',f='%D - %H:%M:%S')# naive time'12/25/18 - 00:59:59'>>>convert(ltime,tz='Europe/Madrid',f='%D - %H:%M:%S')# localized time'12/25/18 - 00:59:59'OptionsThe library provides a single interface. In order to select in which mode to get the date, theflag(None/'convert'or'localize') option is used.The parametermoment_timecan take unix time in the formatintorfloat. Represents moment-time.The time zonetzis specified in the format'Region/City','Etc/GMT±12'.fis responsible for generating a line at the output, through this parameter you can set a template in the style of templates of the standard librarydatetime.
Package: intlab
Welcome to INTLABこんにちは、私は知能情報システム研究室の研究員、高矢です。
このリポジトリでは、今後は知能情報システム研究室で行われる開発プログラムを集約し、それを世界に広く共有することを目指しています。Membar List河野 仁(Teacher)高矢 空(coder)鳥谷部 悠希須賀 哉斗小林 瑞稀バッジ概要intlabとは、東京電機大学 知能情報システム研究室が開発したPythonを使用した機械学習サポート用のパッケージ群ですウェブサイト　:https://takayasora.github.io/intlab/ドキュメント　:https://takayasora.github.io/intlab/4-BUILD_INSTALL.htmlメールリスト　:https://mail.python.org/mailman/listinfo/numpy-discussionソースコード　:https://github.com/takayasora/intlabバグレポート　:https://github.com/takayasora/intlab/issueパッケージsapnetand more...使用バージョンsapnetは以下のパッケージを用いて作成していますpillow 9.5.0matplotlib 3.7.1pandas 2.0.0numpy 1.23.5seaborn 0.12.2japanize-matplotlib 1.1.3networkx 3.1sapnetの導入テストsapnetは以下のコードを実行することでテストすることができますimportintlabsapnet=intlab.sapnetdf=sapnet.stimulus_calc()ライセンス大学の卒業研究で作成したパッケージの明確なライセンス情報を提供する詳細な情報詳細な情報についてはこちらのWebページにまとめて記載されている
Package: intlib.py
Integroh Connector Python LibraryThis Python library,IntegrohConnector, is designed to handle API requests and responses for the Integroh service. The Integroh service integrates with other services like Keycloak and Dropbox.InstallationTo install the library, you can use pip:pipinstallinitlib.pyUsageHere is a basic example of how to use theIntegrohConnectorclass:fromintegroh_connectorimportIntegrohConnectorconnector=IntegrohConnector()service_data={'username':'your_username','password':'your_password'}response=connector.connect('keycloak','POST',service_data)you need to creata a integroh.ini file in root like this:{"api_key":"1234567890abcdef","base_url":"http://localhost:5000/connect/"}MethodsTheIntegrohConnectorclass provides the following methods:__init__: Initializes the connector with default values.validate_service: Validates the provided service.validate_request_type: Validates the provided request type.load_initfile: Loads the configuration from a file namedintegroh.ini.request_service: Makes an API request to the specified service.validate_service_data: Validates the provided service data.connect: Main method to connect to a service.ExceptionsThe library defines the following exceptions:ValidationError: Raised when there is a validation error.ConError: Raised when there is a connection error.DocumentationFor more detailed information, please refer to theofficial documentation.ContributingContributions are welcome. Please submit a pull request or create an issue to discuss the changes.LicenseThis project is licensed under the GPL-3.0 License.
Package: intlmch
Librería de Cálculo de Integrales con Monte CarloDescripciónEsta librería permite calcular integrales utilizando el método de Monte Carlo y comparar los resultados con el valor exacto. También proporciona una representación gráfica del valor de la integral calculada con el método de Monte Carlo y el valor exacto en función del número de iteraciones.InstalaciónPuedes instalar esta librería utilizando pip:pipinstallintlmchUsoA continuación, se muestra un ejemplo de cómo utilizar la librería en tu código:importintlmchasmc# Definir la función a integrar, los límites de integración y el número de iteracionesf=# tu función aquía=# límite inferior de integraciónb=# límite superior de integraciónN=# número de iteraciones# Crear una instancia de la clase intMCmi_int=mc.intMC(f,a,b,N)# Calcular la integral utilizando Monte Carlovalor_integral_monte_carlo=mi_int.IntegrateMC()# Calcular la integral exactavalor_integral_exacta=mi_int.IntegrateEx()# Graficar el valor de la integral en función del número de iteracionesmi_int.PlotMC()CréditosEsta librería fue desarrollada por Luciano Muñoz.ContactoSi tienes alguna pregunta o comentario, no dudes en ponerte en contacto conmigo a través de mi correo electrónico: [luciano.munoz1@udea.edu.co].
Package: intnan
intnanInteger data types lack special values for-inf,infandNaN. EspeciallyNaNas an indication for missing data would be useful in many scientific contexts.Of course there isnumpy.ma.MaskedArrayaround for the very same reason. Nevertheless,
it might sometimes be annoying to carry a separate mask array around. And in those cases,
using a set ofnumpy-compatible functions for the same job will do just fine.This package provides such an implementation for several standardnumpyfunctions, that
treat integer arrays in such a way, that the lowest negative integer resemblesNaN.The library provides an implementation using only standardnumpyfunctions and
another implementation usingnumba, for functions that allow major speed gains.
Thenumbaimplementation is automatically selected, when it is available for import.functionsThe following list of functions is provided byintnan.nanval(x)isnan(x)fix_invalid(x, copy=True, fill_value=0)asfloat(x)anynan(x)allnan(x)nanmax(x)nanmin(x)nanmaximum(x, y)nanminimum(x, y)nansum(x)nanprod(x)nancumsum(x)nanmean(x)nanvar(x, ddof=0)nanstd(x, ddof=0)nanequal(x, y)nanclose(x, y, delta=sys.float_info.epsilon)
Package: into
Data migration in PythonDocumentationExampleInto migrates data between different containers>>>fromintoimportinto>>>into(list,(1,2,3))[1,2,3]It operates on small, in-memory containers (as above) and large, out-of-core
containers (as below)>>>into('postgresql://user:pass@host::my-table','myfile.hdf5::/data')Table('my-table',MetaData(bind=Engine(postgresql://user:****@host)),...)Into leverages the existing Python ecosystem.  The example above usessqlalchemyfor SQL interation andh5pyfor HDF5 interaction.MethodInto migrates data using network of small data conersion functions between
type pairs. That network is below:Each node is a container type (likepandas.DataFrameorsqlalchemy.Table) and each directed edge is a function that transforms or
appends one container into or onto another.  We annotate these functions/edges
with relative costs.This network approach allowsintoto select the shortest path between any
two types (thank younetworkx).  For performance reasons these functions often
leverage non-Pythonic systems like NumPy arrays or nativeCSV->SQLloading
functions.  Into is not dependent on only Python iterators.This network approach is also robust.  When libraries go missing or runtime
errors occurintocan work around these holes and find new paths.This network approach is extensible.  It is easy to write small functions and
register them to the overall graph.  In the following example showing how we
convert frompandas.DataFrameto anumpy.ndarray.fromintoimportconvert@convert.register(np.ndarray,pd.DataFrame,cost=1.0)defdataframe_to_numpy(df,**kwargs):returndf.to_records(index=False)We decorateconvertfunctions with the target and source types as well as a
relative cost.  This decoration establishes a contract that the underlying
function must fulfill, in this case with the fastDataFrame.to_recordsmethod.  Similar functions exist forappend, to add to existing data, andresourcefor URI resolution.convert: Transform dataset into new containerappend: Add dataset onto existing containerresource: Given a URI find the appropriate data resourceinto: Call one of the above based on inputs.
E.g.into(list, (1, 2, 3))->convert(list, (1, 2, 3))whileL = []; into(L, (1, 2, 3))->append(L, (1, 2, 3))Finally,intois also aware of which containers must reside in memory and
which do not.  In the graph above thered-colorednodes are robust to
larger-than-memory datasets.  Transformations between two out-of-core datasets
operate only on the subgraph of the red nodes.LICENSENew BSD. SeeLicense File.HistoryInto was factored out from theBlazeproject.
Package: intobot
intobotThis tool can turn your script into a VK bot. In every script launched with this tool,inputandprintwill work with chats instead of the console. A script is ran one time for every user who writes to the bot. First message from a user starts the script execution and cannot be received from the script.Installation:pip install intobotUse it like this:python -m intobot -t [token_file_name.txt] [script_name].pyEverything above that is in brackets needs to be filled by you. (Brackets should be omitted.)When the script ends, the user is not served anymore, so to serve the user infinitely, add an infinite loop to the script. This was made to allow better flexibility and make it as close to console execution of scripts as possible.Predecessor: every_script_is_a_vk_bot
Package: intonation
Intonation python moduleThe intonation python module has broadly four classes:Intervals: defines an object which has a set of intervals, of
course! It has a set of basic functions that facilitate an easy access to
these intervals.Histogram: defines a histogram object with methods used to find
peaks using different methods and plot them.Pitch: Given timestamps in seconds, and pitch values in
cents, it defines a pitch object which has a number of methods which
can be used to study the intervalsRecording: Given a pitch object, it defines a recording object
which has methods to compute histogram, intonation profile and label
sections of pitch contours with given set of intervals.Installationsudo pip install --upgrade intonationDocumentationGo tohttps://github.com/gopalkoduri/intonationfor documentation and examples.
Package: in-toolset
# in-toolsetin-toolset is an editor and (basic) simulator for industry workflow nets (inets), a model of interorganisational workflows based on petrinets.Currently, the tool supports editing and manually simulating these industry workflows, and exporting industry nets as PNML petri nets,
but support for checking for bisimilarity using LTSmin and for automatically generating a subset of the language of triggering sequences of an inet in XES is planned, as is a model of “domains” for organisations and messages.in-toolset has cross-platform support and has been verified to work on linux, MacOS, and windows.
It should work on most systems with python3.6 or newer and pyqt5.
The recommended way to install it is to runpip install in-toolset, this makes a command-line toolin-toolsetavailable which starts the graphical editor.The toolset was originally created by: Daniel Otten, Jakob Wuhrer, Julia Bolt, Ricardo Schaaf, and Yannik Marchand, on behalf of Pieter Kwantes of Leiden University.It is provided here licensed under the GNU General Public License v3.0.Documentation can be found athttps://in-toolset.rtfd.org
Package: in-toto-attestation
Python implementation of in-toto attestationsThis package contains Python bindings for in-toto/attestation. Its contents
are autogenerated usingprotobuf definitions.For more information, see thein-toto Attestation Framework.UsageInstall viapip install in-toto-attestation.The Python bindings for the attestation layers and predicates are provided in
thein_toto_attestation.v1andin_toto_attestation.predicatespackages,
respectively. Please note that our package names use the term "attestation"
in thesingular.TestingSee thetesting docsfor info and instructions for testing this
implementation.VersioningAt the moment, this library is versioned <1.0 as we work towards stabilizing
the protobuf definitions and the available predicates.