Saravanan666/pypi-org huggingface dataset:
Package: icloudpd
iCloud Photos DownloaderA command-line tool to download all your iCloud photos.InstallpipinstallicloudpdWindowspipinstallicloudpd--userPlus addC:\Users\<YourUserAccountHere>\AppData\Roaming\Python\Python<YourPythonVersionHere>\Scriptsto PATH. The exact path will be given at the end oficloudpdinstallation.MacOSAdd/Users/<YourUserAccountHere>/Library/Python/<YourPythonVersionHere>/binto PATH. The exact path will be given at the end oficloudpdinstallation.Usageicloudpd--directory/data--usernamemy@email.address--watch-with-interval3600Synchronization logic can be adjusted with command-line parameters. Run the following to get full list:icloudpd--helpGetting Python & PipYou can get Python with accompanying Pip fromOfficial site.Alternatives for MacCommand Line Tools from AppleApple provices Python & Pip as part of the Command Line Tools for XCode. They can be downloaded from Apple Developer portal or installed withxcode-select--installUsepip3to installicloudpd:pip3installicloudpdHomebrew package managerHomebrew is open source package manager for MacOS. InstallHomebrew(if not already installed):whichbrew>/dev/null2>&1||/usr/bin/ruby-e"$(curl-fsSLhttps://raw.githubusercontent.com/Homebrew/install/master/install)"Install Python (includespip):brewinstallpythonAlternative for Linux (Ubuntu)sudoapt-getupdate
sudoapt-getinstall-ypythonMoreSeeProject pagefor more details.
Package: icloud-todotxt
iCloud todo.txtSynchronize your local `todo.txt` with iCloud.RequirementsOn your local machine, you have to set the following two environment variables.TODO_FILE="path/to/your/todo.txt"APPLE_ID="<Your Apple ID email address.>"On iCloud you need a folder calledToDowhere thetodo.txtwill live.InstallationInstall the package with pippipinstall--usericloud-todotxtor pipxpipxinstallicloud-todotxtUsageBefore you can use the tool, you have to login once into iCloud.icloud--username=$APPLE_IDDownload thetodo.txtfrom iCloud.icloud-todotxtdownloadUpload thetodo.txtto iCloud.icloud-todotxtuploadInternal DependenciespyiCloudTyper
Package: icm
Icestudio collection managerTools to manageIcestudiocollections: template creation, translation update, automatic readme generation...DocumentationFind all the information on theWIKI pageInstallpipinstallicmCommandsCommandDescriptioncreateCreate a collection structure.updateUpdate docs and translation.validateValidate a collection.DevelopmentInstalling the development version on Ubuntusudo pip3 install -U git+https://github.com/FPGAwars/icm.gitAuthorsJesús Arroyo TorrensContributorsJuan Gonzalez Gomez (Obijuan)LicenseLicensed underGPLv2.
Package: icmodel
development_time_predictInstall package:pip install icmodelUsage:import icmodel
# Load data
test_data = sc.read_h5ad('DATA/PATH')
# Predict time
test_data = icmodel.Predict(test_data,pred='development time',NN=True,n=5)
# Predict celltype
test_data = icmodel.Predict(test_data,pred='cell type')
Package: icmp-remote-shell
ICMP remote shellPrototype of steganography remote shell using ICMP protocol for data
hiding.To install packet use pip:pip install icmp_remote_shellPacket provides some common functions can be used in your ICMP
steganography projects:checksum - calculates packet checksumsend_one_ping - sends one ICMP packetsend_one - as previous but more convenientstart_sniffing - starts ICMP packets snifferPacket also provides to commandline utils for creating remote shell.icmp-remote-shell-client- ICMP remote shell clientUsage:icmp-remote-shell-client host_out host_in \[ping_delay\] \[log_file\]where:host_out - The interface to send requestshost_in - The interface to listen repliesping_delay - Delay between answer pings in seconds, default is 1log_file - File to log server answers, default is /var/log/icmp_covert.logicmp-remote-shell-server- ICMP remote shell serverUsage:icmp-remote-shell-server host \[ping_delay\]where:host - The interface to listen requestping_delay - Delay between answer pings in seconds, default is 1Note: commands should run under user with privileges to send ICMP
messages onlyContributionFell free ro contribute to this project usinggithuborgitlab.
Package: icmp-sniffer
[![<Paulius11>](https://circleci.com/gh/Paulius11/icmp-sniffer.svg?style=svg)](<https://app.circleci.com/pipelines/github/Paulius11/icmp-sniffer>)Instruction:Program requires admin right$ icmp_sniffer -hpypi:https://pypi.org/project/icmp-sniffer/
Package: icm-python-client
A simple, easy to use REST client based onrequestsandHammockInstallationInstallation should be straight forward with pip:pipinstallicm-python-clientUsageImport the client:fromicm_python_client.icm_clientimportICMClientCreate an instance of the client (sessionkwargs may also be
provided):icm_client=ICMClient.create('<My Access Token>')Have fun!# Get first page of usersicm_client.users().GET().json()# Paginate through all usersforuserinicm_client.users().LIST():printuser# Search for a user named Jimicm_client.users().GET(params={'limit':10,'q':'Jim'}).json()# Get a specific usericm_client.users('de7b51a0-5a1e-11e4-ab31-8a1d033dd637').GET().json()# Get a specific user's devicesicm_client.users('de7b51a0-5a1e-11e4-ab31-8a1d033dd637').devices().GET().json()# Create a useruser=icm_client.users().POST(params={'name':'Jim Bob','email':'jim.bob@aol.com'}).json()# Update the created usericm_client.users(user['id']).PUT(params={'name':'Jim Bob The Second'}).json()# Delete the updated usericm_client.users(user['id']).DELETE().json()LicenseCopyright 2015 Singlewire LLCLicensed under the Apache License, Version 2.0 (the “License”); you may
not use this file except in compliance with the License. You may obtain
a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an “AS IS” BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Package: icn3dpy
icn3dpyicn3dpy is a simpleIPython/Jupyterwidget to
embed an interactiveiCn3Dviewer in a notebook. Its source code is atPyPI, and is also included atiCn3D GitHub.The 3D view of icn3dpy in Jupyter Notebook is interactive, just like in any browser. The popup windows will appear under the 3D view. If you have a predefined cutom view, you can use the predefined commands in icn3dpy as shown below.If you experience problems, please file anissue.InstallationInstall icn3dpy:pip install icn3dpyInstall node if node is unavailable. One way in Mac is to use "brew":brew update

brew install nodeInstall Jupyter Lab and the extension "jupyterlab_3dmol":pip install jupyterlab

jupyter labextension install jupyterlab_3dmol
or jupyterhub labextension install jupyterlab_3dmolUsageOpen a notebook:jupyter notebookand issue Python script as follows:import icn3dpy"mmdbid" as input:view = icn3dpy.view(q='mmdbid=6hjr')
viewYou can also try other input besides "mmdbid".
"cid" as input:view = icn3dpy.view(q='cid=2244')
view"url" as input for local PDB files, e.g., "./1TOP.pdb":view = icn3dpy.view(q='url=pdb|./1TOP.pdb')
view"url" as input for remote PDB files:view = icn3dpy.view(q='url=pdb|https://storage.googleapis.com/membranome-assets/pdb_files/proteins/FCG2A_HUMAN.pdb')
view"url" as input for iCn3D PNG Image files:view = icn3dpy.view(q='url=icn3dpng|https://api.figshare.com/v2/file/download/39125801')
viewUse predefined commands (The Jupyter Notebook commands can be copied from the "Copy Commands" button in the "File > Share Link" menu of interactive iCn3D viewers in Jupyter Notebook or in aweb browser):view = icn3dpy.view(q='mmdbid=6m0j',command='scatterplot interaction pairs | !A !E | hbonds,salt bridge,interactions,halogen,pi-cation,pi-stacking | false | threshold 3.8 6 4 3.8 6 6; show selection; add residue number labels')
viewEmbed a static image instead of an interactive 3D view to improve the performace of a page with multiple structures. The image is clickable to launch an interactive 3D view. The parameters are separated with the symbol "&" (e.g., "imageonly=1&showanno=1"). All parameters are described in the"URL parameters" section:view = icn3dpy.view(q='mmdbid=6hjr', para='imageonly=1')
viewCommandYou can use iCn3D interactive interface to generate a custom view, then click "File > Share Link" to get the commands in the "Original URL". All iCn3D commands are listedhere.LicenseUnited States Government Work
Package: icndb-sdk
icndb-sdkUnofficial SDK for some Chuck Norris jokes.Getting Startedpython3-mvenvvenvsourcevenv/bin/activate
pipinstallicndb-sdkExamplesIn[1]:fromicndb_sdkimportAPIIn[2]:chuck=API()In[3]:chuck.get_jokes_random()Out[3]:{'type':'success','value':[{'id':203,'joke':'Chuck Norris can lead a horse to water AND make it drink.','categories':[]}]}In[4]:chuck.get_jokes_specific(id_number=503)Out[4]:{'type':'success','value':{'id':503,'joke':'Chuck Norris protocol design method has no status, requests or responses, only commands.','categories':['nerdy']}}In[5]:PARAMS={"firstName":"Julio","lastName":"PDX"}In[6]:chuck.get_jokes_specific(params=PARAMS,id_number=503)Out[6]:{'type':'success','value':{'id':503,'joke':'Julio PDX protocol design method has no status, requests or responses, only commands.','categories':['nerdy']}}In[7]:
Package: icnews.acquire
icNews.AcQuire is a product that installs the AcQuire content type. The
latter holds information on how to collect remote information. This
configuration information is used by the acquire script that collects the
information and stores it in an relational database. In order to use this
product Regular Expression knowledge is required.FuncionalityFrom a URL and a regular expression can collect the information of a webpage and generate a RSS file from it.cron script for Unix systems that stores content in a relational database from a RSS list.inetd script for Unix systems that stores content in a relational database from the collected news.In order to make the relational database storage work you need to make sure
that the database configured thru the configlet for this product contains a
table like this one:CREATE TABLE acquire(path varchar(200),
link varchar(200),
title varchar(200),
description text,
date datetime,
PRIMARY KEY (link, date));
Package: icoc
ICOcThis repository contains data collection and test software for theICOtronic system. For more information, please take a lookat the online documentation of ICOc.DocumentationWhile you should be able to read thevarious Markdown files of the documentationseparately, we recommend you read thebookdownmanual instead. We provide a prebuilt version of the documentationhere.You can also download the documentationunder the GitHub Actions tab(just select the latest run and click on the link “ICOc Manual”).BuildIf you want to build the documentation yourself, you need the following software:R,bookdown,make, and(optionally for the PDF version of the manual) theTinyTeX R package.After you installed the required software you can build theHTML (make html),EPUB (make epub), andPDF (make pdf)version of the documentation. The output will be stored in the folderBookdownin the root of the repository. If you want to build all versions of the documentation, just use the commandmakedocin the repo root.
Package: icoco
ICoCo API - Version 2 (02/2021)WARNING: This API should not be changed!!Seehttps://github.com/cea-trust-platform/icoco-couplingfor full reference.ICoCo stands forInterface for Code Coupling. This is a norm that a code may choose
to implement to facilitate its coupling with other ICoCo-compliant codes.Practically ICoCo is provided as a main abstract C++ class (ICoCo::Problem) that a code has
to derive to implement the norm. This can be only a partial implementation as some methods
are not relevant to all the codes (especially the I/O methods of the API).The API rely on ICoCo::MEDDoubleField and ICoCo::MEDIntField for some of the field exchange
methods. An implementation for those is provided by the SALOME MEDCoupling library
(version 9.7+)This package implements the abstract class {class}icoco.problem.Problemin Python following the
specifications of the c++ version.The Python implementation proposed is based on {mod}medcouplingimplementation for fields and {mod}mpi4pyfor MPI
communication. Nevertheless, it is possible to use other implementation of such concepts within this
package.
Package: icode123
icode123一个本地开发环境检测库。安装pipinstallicode123cmd 命令行下执行icode123
请输入 Icode123 邮箱：********@sina.com
请输入 Icode123 密码：********

1.2022 秋季小学期
2.ECE实习 Ⅰ（计算机编程 ）2021级本科生大二课程
请输入班级序号：1
正在检查本机已安装 Python 包...
本机已安装 Python3.9.12，如果依赖无法正常安装，建议升级到 Python3.10.5
numpy 未安装
Pillow 未安装
matplotlib 未安装
pyecharts 未安装
tqdm 未安装
lxml 未安装
beautifulsoup4 未安装
是否安装依赖？(y/n)n

环境安装完成!
Package: icodeapi
icodeapi, the The second generation of IcodeYoudao API framework.More Powerful and Faster thanTuringAPIand TuringIO.icodeapi is easy to use, and it supports for sync and async.fromicodeapiimport*importasynciocookie=input('Enter cookie: ')syncAPI=IcodeAPI(cookie=cookie)print(syncAPI.updateIntro('hello, icodeapi!'))asyncAPI=AsyncIcodeAPI(cookie=cookie)asyncdefmain(api:AsyncIcodeAPI):awaitapi.login()print(awaitapi.updateIntro('hello, async icodeapi!'))awaitapi.closeClient()asyncio.run(main(asyncAPI))Use icodeapi to build your serverimporticodeapifromicodeapiimportservercookie=input("Enter cookie: ")api=icodeapi.AsyncIcodeAPI(cookie=cookie)Server=server.IcodeServer(api=api)@Server.CheckMessage()asyncdefAutoReply(userId,bot):try:awaitbot.fastReply(userId,'Hello world!')exceptAssertionError:passexcept:print('Unknown Error')server.RunServer(Server)Use pip to installpip install icodeapiDocumentationGithub
Package: icoextract
icoextracticoextractis an icon extractor for Windows PE files (.exe/.dll), written in Python. It also includes a thumbnailer script (exe-thumbnailer) for Linux desktops.This project is inspired byextract-icon-py,icoutils, and others.icoextract aims to be:LightweightPortable (cross-platform)Fast on large filesInstallationInstalling from sourceYou can install the project via pip:pip3 install icoextract[thumbnailer]On Linux, you can activate the thumbnailer by copyingexe-thumbnailer.thumbnailerinto the thumbnailers directory:/usr/local/share/thumbnailers/if you installedicoextractglobally~/.local/share/thumbnailersif you installedicoextractfor your user onlyThe thumbnailer should work with any file manager that implements theFreedesktop Thumbnails Standard: this includes Nautilus, Caja, Nemo, Thunar (when Tumbler is installed), and PCManFM. KDE / Dolphin uses a different architecture and is not supported here.Distribution packagesicoextract is packaged in these repositories:Arch Linux AUR:icoextractDebian (11+):icoextractUbuntu (21.10+):icoextractUsageicoextract shipsicoextractandicolistscripts to extract and list icon resources in an executable:usage: icoextract [-h] [-V] [-n NUM] [-v] input output

Windows PE EXE icon extractor.

positional arguments:
  input              input filename
  output             output filename

optional arguments:
  -h, --help         show this help message and exit
  -V, --version      show program's version number and exit
  -n NUM, --num NUM  index of icon to extract
  -v, --verbose      enables debug loggingusage: icolist [-h] [-V] [-v] input

Lists group icons present in a program.

positional arguments:
  input          input filename

optional arguments:
  -h, --help     show this help message and exit
  -V, --version  show program's version number and exit
  -v, --verbose  enables debug logging
Package: icommandlib
ICommandlibIcommandlib is an interactive command line runner, designed (unlike pexpect) to be able to run command line applications in a virtual terminal window and take screenshots.It was designed for building self rewriting, documentation generating testslike thisfor interactive command line apps with thehitchstory framework.ICommandLib can take both terminal text screenshots and "stripshots" - terminal screenshots with all the white space to the right and bottom of the screen stripped.Examplefavoritecolor.py:answer=input("favorite color:")print(f"Your favorite color is{answer}")answer=input("favorite movie:")print(f"Your favorite color is{answer}")With code:fromicommandlibimportICommandfromcommandlibimportpythonfrompathlibimportPathprocess=ICommand(python("favoritecolor.py")).run()process.wait_until_output_contains("favorite color:")process.send_keys("red\n")process.wait_until_output_contains("favorite movie:")process.send_keys("the usual suspects\n")process.wait_until_on_screen("favorite color")process.wait_for_successful_exit()Path("stripshot.txt").write_text(process.stripshot())When the code is run to completion.The file contents ofstripshot.txtwill then be:Your favorite color is red
favorite movie:the usual suspects
Your favorite color is the usual suspects```

With height 4 and width 41.







## Install

```bash
$ pip install icommandlibUsing ICommandLibCustom Screen ConditionKillProcess propertiesScreenshotScreensizeSend keysWait until successful exit
Package: icomo
Inference of Compartmental Models (ICoMo) ToolboxThis toolbox aims to simplify the construction of compartmental models and the inference of their parameters.The aim isn't to provide a complete package that will build models from A to Z, but rather
provide different helper functions examples and guidelines to help leverage modern python
packages likeJAX,DiffraxandPyMCto build, automatically differentiate and fit
compartmental models.Documentation:https://icomo.readthedocs.io.FeaturesFacilitate the construction of compartmental models by only defining flow between compartments, and
automatically generating the corresponding ODEs.Plot the graph of the compartmental model to verify the correctness of the model.Integrate the ODEs using diffrax, automatically generating the Jacobian of the parameters of the ODEFit the parameters using minimization algorithms or build a Bayesian model using PyMC.
Package: iconcommons
ICON CommonsICON Commons is a utility project which is used for running T-Bears and ICON Service.
This project provides some utility classes for setting configuration data and logging.Building from SourceAfter checking out the source code, create a virtual environment and run the build script in the source directory as follows.$ virtualenv -p python3 venv  # create a virtual environment
$ source venv/bin/activate    # switch to the virtual environment
(venv) $ ./build.sh           # run the build script
(venv) $ ls dist/             # check the generated wheel file
iconcommons-1.1.3-py3-none-any.whlInstallationBasically you can install ICON Commons package by usingpip3command on your local environment.RequirementsICON Commons package requires the following environments.OS: MacOS, LinuxWindows is not supportedPythonMake a virtualenv for Python 3.6.5+ (3.7 is also supported)Check your Python version$python3-V
Python3.6.7IDE: PyCharm is recommended.Installing on MacOS / Linux(venv)$pip3installiconcommonsReferenceLicenseThis project follows the Apache 2.0 License. Please refer toLICENSEfor details.
Package: icondetection
IconMatchPart of the Hands Free Computing project. This subproject aims to allow a user to easily select icons on the screen in any environment.Table of ContentsIconMatchTable of ContentsAbout The ProjectBuilt WithGetting StartedPrerequisitesInstallationUsageRoadmapContributingLicenseContactAbout The ProjectBuilt WithOpenCV 3.12Python 3.8Getting StartedPrerequisitesRefer to therequirements.txtfile.InstallationClone this repository to your computer.Install the project using Python 3.8; then install the requirements in the requirements.txt file.A sample demo of how the engine works so far can be found within the icondetection module.Key FeaturesDetection of areas with a high likelihood of being clickable icons.Detection of closest rectangle to point of interest (be it gaze, or mouse as in the examples)UsageYou can use the functions as shown indemo.pyas a default entry point.In the below example, the main set of functions is called within a callback function, as this allows the threshold value
to be controlled from a GUI in OpenCV.def threshold_callback(val):
    """
    Takes a value of threshold for the canny edge detector and finds the
    bounding rectangles of appropriate edges within an image.
    """

    # accept an input image and convert it to grayscale, and blur it
    gray_scale_image = grayscale_blur(src)

    # determine the bounding rectangles from canny detection
    _, bound_rect = canny_detection(gray_scale_image, min_threshold=val)

    # group the rectangles from this step
    global grouped_rects
    grouped_rects = group_rects(bound_rect, 0, src.shape[1])

    # (for display purposes) use the provided rectangles to display in your program
    render_rectangles(grouped_rects, src.copy(), "Grouped Rectangles", desired_color=(36, 9, 14))
    render_rectangles(bound_rect, src.copy(), "Original Rectangles", desired_color=(96, 9, 104))
    candidate_rectangle_demo()Roadmap✔ denotes an available API, ❌ denotes a WIP API✔ Detect regions of interest with moderate accuracy✔ Detect candidate region based on proximity❌ Detect icon-like objects on the screen❌ Context provision into regions of interestContributingContributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make aregenuinely appreciated.Fork the ProjectCreate your Feature Branch (git checkout -b feature/AmazingFeature)Commit your Changes (git commit -m 'Add some AmazingFeature')Push to the Branch (git push origin feature/AmazingFeature)Open a Pull RequestLicenseDistributed under the MIT License. SeeLICENSEfor more information.ContactLuis Zugasti -@luis__zugastiProject Link:https://github.com/luiszugasti/IconMatch
Package: icon-etl
ICON ETLICON ETL lets you convert ICON blockchain data into convenient formats like CSVs and relational databases.Full documentation available here.QuickstartInstall ICON ETL:pip3installicon-etlExport blocks and transactions:>iconetlexport_blocks_and_transactions--start-block0--end-block500000\--blocks-outputblocks.csv--transactions-outputtransactions.csvExport logs and receipts:>iconetlexport_receipts_and_logs--transaction-hasheshashes.txt\--receipts-outputreceipts.csv--logs-outputlogs.csvRunning Tests>pip3install-e.[dev]>exportICON_ETL_RUN_SLOW_TESTS=True
>pytest-vvRunning Tox Tests>pip3installtox
>tox
Package: iconf
Simple method used to load configuration variables from different sources.Supports loadings variables from the environment, json file and/or Django settings.The method will search for the keys in any of the 3 sources and returns the first match.Search order:EnvironmentJSON - used if path is set and the file existsDjango settings - used if Django is installedThis is useful if you need to set configuration variables(SECRET_KEY, DATABASE_NAME, etc…) via environment on a CI server and load the same variables from a json file in a production environment.Installationpip installiconf(or add to your requirements.txt)Usageimporticonf# find and return keys from environment variables and/or django settings# and/or json fileconfigs=iconf.get(keys=["KEY1","KEY2"],path="configs.json")# import full json fileconfigs=iconf.get(path="configs.json")# import from environment and/or django settingsconfigs=iconf.get(["KEY1","KEY2"])Testrun tests with python -m unittest discoverLicense3 Clause BSD.Bug report and HelpFor bug reports open a github ticket. Patches gratefully accepted.