Saravanan666/pypi-org huggingface dataset:
Package: ipadic
ipadic-pyThis is a version of IPAdic packaged for use in Python withmecab-python3orfugashi.You Shouldn't Use ThisThis is the version of IPAdic included with MeCab. It hasn't been updated since
at least 2007. The organization that created it no longer does this kind of
work. The contact URLs listed in the source no longer resolve. It doesn't
contain important recent terms like 令和, the current era name.Instead you should useUnidic, which is
maintained by NINJAL.This package is provided for compatability with old benchmarks or models.UsageTo install:pip install ipadicTo initialize with mecab-python3:import MeCab
import ipadic
tagger = MeCab.Tagger(ipadic.MECAB_ARGS)
print(tagger.parse("図書館にいた事がバレた"))LicenseIPAdic is copyright the Nara Institute of Science and Technology and ICOT. For
details see the COPYING file included in this distribution. This version of the
dictionary is distributed in compliance with the terms specified in that file.The code in this repository is by Paul McCann and is available under the MIT or
WTFPL license, as you prefer.
Package: ipag-cred2
The package contains tools to handle the CRED2 camera within the IPAG framworkInstallThis install target will change at some point.One needs to have correct gitlab credentials.> pip install git+https://gricad-gitlab.univ-grenoble-alpes.fr/IPAG/ipaglab/ipag_cred2.gitDocumentationYou need gricad credentials to access the project documentation :https://ipag.gricad-pages.univ-grenoble-alpes.fr/ipaglab/ipag_cred2/
Package: ipag-slm
Package to drive the SLM>pipinstallipag-slmThe source are here :https://gricad-gitlab.univ-grenoble-alpes.fr/IPAG/ipaglab/ipag_slmDocumentation is here :https://ipag.gricad-pages.univ-grenoble-alpes.fr/ipaglab/ipag_slm/
Package: ipalint
Checks linguistic datasets for IPA errors and inconsistencies. Usage:ipalint mydatasetThis will either (1) print the IPA errors found in the dataset; (2) print
nothing, meaning it found no errors; or (3) print an error message if it fails
to read the file. In no case will the input file be modified.The linter should be able to read any well-formed csv/tsv/tab dataset, assuming
that there is an IPA data column. It also reads table-less lines and handles
pipes; thus, even if you have a less common format likethis one, you can
still lint it by doing something like:cat KSL.qlc | grep "^[[:digit:]]" | cut -f 6 | ipalintoptional arguments--colCOLspecifies the column containing the IPA data; this can be either
the column name or the column index (starting from 0). If this option is not
set, ipalint will try to guess the column by looking at the column names.--no-headertreats the first row as data. The default is to treat the first
row as header and not lint it.--ignore-nfdignores errors about an IPA string that are not in Unicode’s
NFD normal form. With very few exceptions, IPA diacritics should be combining
characters. However, in some situations this might be irrelevant for your
purposes and you can ignore these errors.--ignore-wsignores errors about leading or trailing whitespace in IPA
strings. If combined with the previous flag, ipalint will only report errors
about symbols that are not part of the IPA chart.--linewiseoutputs (line number, error message) tuples, one such tuple per
line of output. The default is to output the set of errors and include the list
of line numbers to the right of each error.--no-linesonly outputs the set of errors found in the data. Useful when
you want a quick glimpse of what might be wrong. This flag is ignored if the
previous one is set.what is checkedEnsures that all the characters of the dataset’s IPA strings are in theIPA
chart(the 2015 revision). The only accepted non-IPA character is space.Ensures that the strings conform to Unicode’sNormalisation Form D(NFD).Ensures that the strings do not start or end with unnecessary whitespace.installationThis is a standard Python 3 package without dependencies. It is offered at theCheese Shop, so you can install it through pip:pip install ipalintor, alternatively, you can clone this repo (safe to delete afterwards) and do:python setup.py test
python setup.py installOf course, this could be happening within a virtualenv/venv as well.similar projectsipapychecks and cleans IPA strings.lingpyincludes some tools for analysing IPA strings.ipatokis a library for tokenising IPA strings.licenceMIT. Do as you please and praise the snake gods.
Package: ipandas
ipandasEnhanced pandas intelligenceAdded functions to default pandas functionality:read_data(filename): automatically detects correct full name of the file using regex match and the required file type, if file is in the current working directoryExample: jan = read_data('jan') will automatically read the file named 'ParisJanData.xlsx' and return as a pandas dataframe, while printing the complete file name, top 5 rows of the data and the actual dimensions of the read dataframe.converttxt(): automatically detects all the txt files present in the current working directory and converts to xlsx.
Package: iPandoc
Pure Python bindings to the online Docverter Pandoc document format
conversion API. This way, you get access to the power of Pandoc from
anywhere, without having to meddle with installing anything. Useful for
lightweight applications or when you want to avoid the overhead of a
full pandoc installation.See:http://www.docverter.com/PlatformsPython 2 and 3.DependenciesPure Python, no dependencies.Installing itiPandoc is installed with pip from the commandline:pip install ipandocUsageiPandoc is very simple to use. There is only one function, which
converts a piece of text to another document format.This can be pretty useful, especially for dynamically converting a
project README file, which some people write in markdown format for
displaying at GitHub, over to ReStructured text for displaying at PyPi
(e.g. in your project’s setup.py file).import ipandoc
markdown = open("README.md").read()
rst = ipandoc.convert(text=markdowntext,
                      fromformat="markdown",
                      toformat="rst")Of course, there are many other text formats you can convert between.
See API documentation link for more details on usage and options.More Information:Home PageAPI DocumentationLicense:This code is free to share, use, reuse, and modify according to the MIT
license, see license.txtCredits:Karim BahgatChanges1.0.0 (2018-09-14)Bump to stable versionPython 3 support
Package: ipanema3
IPANEMA: Hyperthread Curve-Fitting Module for PythonIpanema provides a high-level interface to non-linear for Python.
It supports most of the optimization methods from scipy.optimize jointly with
others like emcc, ampgo and the so-calle Minuit.Main functionalities:Despite the comon use of plain float as fitting variables, Ipanema relies on
the Parameter class. A Parameter has a value that can be varied in the fit,
fixed, have upper and/or lower bounds. It can even have a value that is
constrained by an algebraic expression of other Parameter values.Multiple fitting algorithms working out-of-the-box without any change in
the cost function to minimize.Hyperthreading is avaliable and models can be compilead against different
backends. One can use python for fits as usual, but if the amount of data
is large, then better rewrite your code in cuda or opencl, and Ipanema can
take care of that cost function. That’s simple.Estimation of confidence intervals usin ANOVA instead of calculating
uncertainties and correlations from the covariance matrix.Copyright (c) 2020 Ipanema Developers ; GNU AFFERO GENERAL PUBLIC LICENSE
Package: ipannotoryous
ipannotoryousAn annotation Jupyter Widget based onAnnotorius.InstallationYou can install usingpip:pipinstallipannotoryousOr if you use JupyterLab 3:pipinstallipannotoryousOr if you use JupyterLab 2:pipinstallipannotoryous
jupyterlabextensioninstall@jupyter-widgets/jupyterlab-manageripannotoryousIf you are using Jupyter Notebook 5.2 or earlier, you may also need to enable
the nbextension:jupyternbextensionenable--py[--sys-prefix|--user|--system]ipannotoryousDevelopment Installation# First install the python package. This will also build the JS packages.pipinstall-e".[test, examples]"When developing your extensions, you need to manually enable your extensions with the
notebook / lab frontend. For JupyterLab 3, this is done by the command:jupyter labextension develop . --overwriteFor classic notebook, you can run:jupyter nbextension install --sys-prefix --symlink --overwrite --py ipannotoryous
jupyter nbextension enable --sys-prefix --py ipannotoryousNote that the--symlinkflag doesn't work on Windows, so you will here have to run
theinstallcommand every time that you rebuild your extension. For certain installations
you might also need another flag instead of--sys-prefix, but we won't cover the meaning
of those flags here.How to see your changesTypescript:To continuously monitor the project for changes and automatically trigger a rebuild, start Jupyter in watch mode:jupyterlab--watchAnd in a separate session, begin watching the source directory for changes:npmrunwatchAfter a change wait for the build to finish and then refresh your browser and the changes should take effect.Python:If you make a change to the python code then you will need to restart the notebook kernel to have it take effect.
Package: ipaparser
IPA parser for PythonQuick startfromipaparserimportIPAprint([str(symbol)forsymbolinIPA('[ˈpʰɹɛʔt͡sɫ̩]')if'consonant'insymbol.features()])['pʰ','ɹ','ʔ','t͡s','ɫ̩']Usage/referencePlease see full documentation onGitHub.
Package: ipapp
InPlat application frameworkFramework with asyncio based on python.DocumentationDocumentation can be found atreadthedocs.InstallationUsing pip:pipinstallipappUsing poetry:poetryaddipappInstallation with all dependencies:poetryaddipapp[fastapi,oracle,postgres,rabbitmq,s3,sftp,dbtm,testing,redis]Usage exampleFor examples and usage, please refer to theexamplesfolder.Release HistoryFor release history refer torelease-notes.ContributingFork itCreate your feature branch (git checkout -b feature/fooBar)Commit your changes (git commit -am 'Add some fooBar')Push to the branch (git push origin feature/fooBar)Create a new Pull Request
Package: ip-area
IP Areapypi:https://pypi.org/project/scrapy-utilgithub:https://github.com/mouday/scrapy-util整合了ip地址信息的几个网站，依次作为备用：淘宝IP地址库：http://ip.taobao.com/instructions太平洋IP地址库：http://whois.pconline.com.cn/IP-API：https://ip-api.com/docsIP138：https://www.ip138.com/installpip install ip-areaDemo# -*- coding: utf-8 -*-fromip_areaimportget_infoprint(get_info('39.97.246.76'))"""输出json对象{'country': '中国','region': '北京','city': '北京','isp': '阿里云'}"""
Package: ipart
Image-Processing based Atmospheric River Tracking (IPART) algorithmsDependenciesPython2.7 or Python3.7.netCDF4 (tested 1.4.2, 1.5.3 in py2, tested 1.5.3 in py3)numpy (developed in 1.16.5 in py2, tested 1.18.1, 1.19.0 in py3)scipy (developed in 1.2.1 in py2, tested 1.4.1, 1.5.1 in py3)matplotlib (2.2.3 for both py2 and py3, havingissueswith 3.1.3)basemap (developed in 1.2.0, 1.3.0 in py2, tested 1.2.0 in py3)pandas (developed in 0.23.4, 0.24.2 in py2, tested 1.0.3, 1.0.5 in py3)networkx (developed in 1.11 and 2.2 in py2, tested 2.4 in py3)scikit-image (developed in 0.14.2, 0.14.3 in py2, tested 0.16.2, 0.17.2 in py3)OS: Linux or Mac, may work in Windows.InstallationRecommend building the Python environment usingAnaconda.Create conda env using environment fileAfter Anaconda installation, git clone this repository:git clone https://github.com/ihesp/IPARTThen build a new conda environment using the environment file provided. For example:cd IPART
conda env create -f environment_py3.ymlThis creates a new environment namedipartpy3. Activate the environment usingconda activate ipartpy3After that, you can check the list of packages installed byconda listSimilarly for Python 2.7, useconda env create -f environment_py2.ymlFinally install IPART using:pip install -e .testsTo validate installation, issue a new Python session and runimport ipartIf nothing prints out, installation is successful.Thetestsfolder also contains a number ofunittests, to run them:python -m unittest discover -s testsDocumentationFurther documentation can be found athttps://ipart.readthedocs.io/en/latest/.Example use case(a) The IVT field in kg/m/s at 1984-01-26 00:00 UTC over the North Hemisphere. (b) the IVT reconstruction field (IVT_rec) at the same time point. (c) the IVT anomaly field (IVT_ano) from the THR process at the same time point.Locations of a track labelled "198424" found in year 1984. Black to yellow color scheme indicates the evolution.Inventorydocs: readthedocs documentation.ipart: core module functions.notebooks: a series of jupyter notebooks illustrating the major functionalities of the package.scripts: example computation scripts. Can be used as templates to quickly develop your own working scripts.Changelogv3.0Make algorithms zonally cyclic.v2.0restructure into a moduleipart, separate module from scripts.add afindARsGen()generator function to yield results at each time point separately.v1.0initial upload. Can perform AR detection and tracing through time.ContributionIf you encounter problems or would like to help improve the code, please don't
hesitate to fire up an issue or pull request.
Package: ipasc-tool
DataConversionToolDear photoacoustic community,in this github repository we are currently starting to develop a tool that enables the conversion of vendor-specific
proprietary data formats into a standard format that has a defined structure for the meta data that are given with
the binary data.
A list of meta data information was suggested by the International Photoacoustic Standardisation Consortium (IPASC)
in early 2020. You can find this list using the following link:https://www.ipasc.science/documents/20200121_Metadata_list.pdfPlease help IPASC by reporting any missing parameters.Many thanks,The IPASC membersUse case: using the tool to read and write HDF5 filesfrom IPASC_DataConversionTool import iohandler as io

# Loading data from the hard drive
pa_data = io.load_data("path/to/hdf5file.hdf5")
numpy_array = pa_data.binary_time_series_data

# Writing of data to hard drive
io.write_data("path/to/new/file.hdf5", pa_data)Use case: Implement a conversion adapterfrom IPASC_DataConversionTool.api import BaseAdapter

class DeviceSpecificAdapter(BaseAdapter):

    def generate_binary_data(self) -> np.ndarray:
        # IMPLEMENTATION HERE
        pass

    def generate_meta_data_device(self) -> dict:
        # IMPLEMENTATION HERE
        pass

    def set_metadata_value(self, metadata_tag: MetaDatum) -> object:
        # IMPLEMENTATION HERE
        pass
Package: ip_associations_python_novaclient_ext
Adds IP association extension support to python-novaclient.Installpip install ip_associations_python_novaclient_extUsageThis extension is autodiscovered once installed.nova ip-association              Show an IP association
nova ip-association-create       Create an IP association
nova ip-association-delete       Delete an IP association
nova ip-association-list         List IP associations
nova ip-association-show         Show an IP association
Package: ipath
ipathapollo path and simple map making toolInstallYou can installipathby below cmd.pip3installipathDraw pathThen we can use below cmd to draw path from cyber_recordcyber_record echo -f example.record.00000 -t /apollo/localization/pose | ipathColorThe color represents the magnitude of the value, with blue representing smaller values and red representing higher values.For now we supportvelocityacceleration
The localization uncertainty values will be supported later.You can use the following options to display the line coloripath -d=v  // velocity
ipath -d=a  // accelerationSave pathSince it is time-consuming to read the location information from the record file, we can save it to file add-s, which is saved to the localpath.txtby default.cyber_record echo -f example.record.00000 -t /apollo/localization/pose | ipath -sDraw from fileAfter saving path.txt you can read directly from it and draw the path.ipath -i path.txt
Package: ipa-tool
ipa-toolA tool for collecting infos of apple ipaInstallationOver PyPi (recommanded)pipinstallipa-toolOver wheelpipinstall--user{findinrelease}.whlUse as CLIUsage:$ipa-toolCOMMAND[Options][ARGS]...Command:get-info: Returns ipa infos in jsoncgbi2png: Turns apple cgbi into normal pngArguments:IPA_PATH: [required]Options:-mi / --get-multi-icon: [default: False]-o: Output path--help: Show this message and exit.Use as python packagefromipa_toolimportipaInfosipa_infos=ipaInfos({ipa_path})ipaInfoswill return a classclassipaInfos():name:strdevice:listsize:intversion:strbundleID:strencrypt:boolminOS:stricon:dictmd5:bytesrawPlist:dictYou can turn it into dict byipa_info_dict=ipa_tool.__dict__
Package: ipa-utils
ipa-utilsFreeipa command line utils. Use sub-command to do real work.Installpip install ipa-utilsInstalled Commandsipa-utilsSub-commands of ipa-utilsadd-userCreate a new user entry.change-passwordChange user's password.delete-userDelete a user entry.get-user-detailsGet user entry information.get-usersExport all users to a csv file.update-userUpdate user attributes.Usage and ExamplesC:\ipa-utils>ipa-utils
Usage: ipa-utils [OPTIONS] COMMAND [ARGS]...

  Freeipa command line utils. Use sub-command to do real work.

Options:
  -h, --host TEXT      Server address, default to 127.0.0.1.
  -p, --port INTEGER   Server port, default 389.
  -u, --username TEXT  Usesname to binding. Different user may have different
                       field permissions. If no username provides, bind with
                       anonymous user.

  -P, --password TEXT  Password for the user.
  -b, --base-dn TEXT   BaseDN of the ldap server. If no BaseDN provides, try
                       to search it automatically.

  --help               Show this message and exit.

Commands:
  add-user         Create a new user entry.
  change-password  Delete a user entry.
  delete-user      Delete a user entry.
  get-user-detail  Get user entry information.
  get-users        Export all users to a csv file.
  update-user      Update user attributes.Releasesv0.1.7 2019-08-18Old release.Support get-user-detail and get-users.v0.2.0 2020-06-24Add add-user sub-command.Add update-user sub-command.Add delete-user sub-command.v0.2.1 2020-06-24Doc update.v0.2.2 2022-03-09Add IpaService.modify_user_password.Use module instead of single file.v0.2.3 2023-09-15Doc update.
Package: iPay88
A sample project that exists as an aid to thePython Packaging User Guide’sTutorial on Packaging and Distributing
Projects.This projects does not aim to cover best practices for Python project
development as a whole. For example, it does not provide guidance or tool
recommendations for version control, documentation, or testing.This is the README file for the project.The file should use UTF-8 encoding and be written using ReStructured Text. It
will be used to generate the project webpage on PyPI and will be displayed as
the project homepage on common code-hosting services, and should be written for
that purpose.Typical contents for this file would include an overview of the project, basic
usage examples, etc. Generally, including the project changelog in here is not
a good idea, although a simple “What’s New” section for the most recent version
may be appropriate.
Package: ipaymu
IPaymu Client (UNOFFICIAL)ipaymu-python adalah klien untuk ipaymu (payment gateway) dibuat menggunakan python.FiturDukungan API v1 dan v2 ipaymu.Dukungan untuk proyek DjangoCatatanAda beberapa API yang belum dites, jika ada bug silahkan buat isudisini.UsageKonfigurasiMelalui fungsiipaymu.init:importipaymuipaymu.init(url="https://sandbox.ipaymu.com",va_account="00000000000000000",api_key="XXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXX")Melalui environment variable (Setelah membuat variable, anda harus memanggil fungsiipaymu.init()tanpa parameter):exportIPAYMU_URL="https://sandbox.ipaymu.com"exportIPAYMU_VA_ACCOUNT="00000000000000000"exportIPAYMU_API_KEY="XXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXX"Atau, melalui konfigurasisettings.pypada proyek Django.# settings.pyIPAYMU_URL="https://sandbox.ipaymu.com"IPAYMU_VA_ACCOUNT="00000000000000000"IPAYMU_API_KEY="XXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXX"Cek Saldoipaymu.cek_saldo()Dan masih banyak lagi...API v2ipaymu.v2.direct_paymentipaymu.v2.redirect_payment
Package: ipbase
Ipbase Python ClientIpbase Python Client is the official Python Wrapper around the IpbaseAPI.InstallationInstall from pip:pipinstallipbaseInstall from code:pipinstallgit+https://github.com/everapihq/ipbase-python.gitUsageAll ipbase API requests are made using theClientclass. This class must be initialized with your API access key string.Where is my API access key?In your Python application, importipbaseand pass authentication information to initialize it:importipbaseclient=ipbase.Client('API_KEY')Retrieve Statusprint(client.status())Retrieve IP Informationhttps://ipbase.com/docs/inforesult=client.info()# result = client.info('1.1.1.1', 'de')print(result)Contact usAny feedback? Please feel free tocontact our team.
Package: ipb-homework-checker
# Homework checker #This is a python module and script that can be used to check homeworks.## How to use it ##
One can specify the expected results in the form of ayamlfile specifying
excercises and specific tests for them, then this file is fed into the
[check_homework.py](ipb_homework_checker/check_homework.py) script. The
result is a markdown file with a table of results and a list of encountered
errors.To set up a new job script, follow the [schema.yml](schema/schema.yml) file.
The schema file is automatically generated whenever you run the tests of this
project, and your script should follow the guides defined in that schema file.
For an example job script, see an example from the tests of this project:
[example_job.yml](ipb_homework_checker/tests/data/homework/example_job.yml).If you want to see a project that uses this checker, feel free to poke around
[homework-solutions-repo][solutions] project. If you have no access, ask me or
Cyrill for it.## Prerequesits ##
We needruamel.yamlandschemalibraries to run this code. Install them
with:` sudo pip3 install ruamel.yaml schema `## Start digging ##
If you want to change anything, start from
[check_homework.py](ipb_homework_checker/check_homework.py) script and
dig from there.[solutions]:https://gitlab.igg.uni-bonn.de/teaching/homework-solutions-repo
Package: ipbook
# ipbook*Allows you to save IP addresses so that they are accessible in the command line*## Installation```git clone https://github.com/bypie5/ipbook.gitcd ipbookpip install .```## Usage### Add a Record```ipbook add [ip] [name]ex: ipbook add 127.0.0.1 localhost```*NOTE: You cannot add entries with duplicate names*___### Show All Records```ipbook list``````sample output:1) localhost: 127.0.0.1```___### Delete a Record```ipbook remove [name]ex: ipbook remove localhost```___
Package: ipcalc
AboutThis module allows you to perform IP subnet calculations, there is support for
both IPv4 and IPv6 CIDR notation.Example Usage>>> import ipcalc
>>> for x in ipcalc.Network('172.16.42.0/30'):
...     print str(x)
...
172.16.42.1
172.16.42.2
>>> subnet = ipcalc.Network('2001:beef:babe::/48')
>>> print str(subnet.network())
2001:beef:babe:0000:0000:0000:0000:0000
>>> print str(subnet.netmask())
ffff:ffff:ffff:0000:0000:0000:0000:0000
>>> '192.168.42.23' in Network('192.168.42.0/24')
True
>>> long(IP('fe80::213:ceff:fee8:c937'))
338288524927261089654168587652869703991LBugs/FeaturesYou can issue a ticket in GitHub:https://github.com/tehmaze/ipcalc/issuesDocumentationDocumentation is available fromhttp://ipcalc.rtfd.org/