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ianhiianhi
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working widget
make sure to rm -rf node_modules and then pip install -e . to get working install
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‎.gitignore

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.ipynb_checkpoints
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*.tsbuildinfo
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*.swp
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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env/
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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*.egg-info/
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.installed.cfg
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*.egg
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*,cover
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.hypothesis/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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# Flask instance folder
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instance/
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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docs/source/_static/embed-bundle.js
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docs/source/_static/embed-bundle.js.map
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# PyBuilder
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target/
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# IPython Notebook
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.ipynb_checkpoints
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# pyenv
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.python-version
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# celery beat schedule file
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celerybeat-schedule
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# dotenv
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.env
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# virtualenv
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venv/
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ENV/
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# Spyder project settings
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.spyderproject
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# Rope project settings
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.ropeproject
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# =========================
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# Operating System Files
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# =========================
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# OSX
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# =========================
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.DS_Store
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.AppleDouble
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.LSOverride
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# Thumbnails
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._*
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# Files that might appear in the root of a volume
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.DocumentRevisions-V100
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.fseventsd
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.Spotlight-V100
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.TemporaryItems
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.Trashes
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.VolumeIcon.icns
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# Directories potentially created on remote AFP share
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.AppleDB
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.AppleDesktop
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Network Trash Folder
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Temporary Items
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.apdisk
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# Windows
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# =========================
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# Windows image file caches
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Thumbs.db
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ehthumbs.db
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# Folder config file
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Desktop.ini
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# Recycle Bin used on file shares
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$RECYCLE.BIN/
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# Windows Installer files
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*.cab
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*.msi
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*.msm
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*.msp
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# Windows shortcuts
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*.lnk
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# NPM
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# ----
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**/node_modules/
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ipysegment/nbextension/static/index.*
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ipysegment/labextension/*.tgz
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# Coverage data
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# -------------
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**/coverage/
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# Packed lab extensions
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ipysegment/labextension
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MANIFEST

‎.vscode/settings.json

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{
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"python.linting.pylintEnabled": false,
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"python.linting.pylamaEnabled": true,
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"python.linting.enabled": true,
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"python.pythonPath": "/home/ian/anaconda3/envs/colonies/bin/python"
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}

‎LICENSE.txt

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Copyright (c) 2020 Ian Hunt-Isaak
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are met:
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1. Redistributions of source code must retain the above copyright notice, this
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list of conditions and the following disclaimer.
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2. Redistributions in binary form must reproduce the above copyright notice,
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this list of conditions and the following disclaimer in the documentation
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and/or other materials provided with the distribution.
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3. Neither the name of the copyright holder nor the names of its
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contributors may be used to endorse or promote products derived from
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this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

‎MANIFEST.in

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include LICENSE.txt
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include README.md
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include setupbase.py
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include pytest.ini
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include .coverage.rc
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include tsconfig.json
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include package.json
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include webpack.config.js
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include ipysegment/labextension/*.tgz
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# Documentation
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graft docs
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exclude docs/\#*
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prune docs/build
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prune docs/gh-pages
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prune docs/dist
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# Examples
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graft examples
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# Tests
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graft tests
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prune tests/build
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# Javascript files
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graft ipysegment/nbextension
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graft src
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graft css
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prune **/node_modules
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prune coverage
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prune lib
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# Patterns to exclude from any directory
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global-exclude *~
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global-exclude *.pyc
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global-exclude *.pyo
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global-exclude .git
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global-exclude .ipynb_checkpoints

‎README.md

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## Controls
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- left click to lasso
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- right/middle click to pan
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- scroll to zoom
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- scroll to zoom
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# ipysegment
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[![Build Status](https://travis-ci.org//ipysegment.svg?branch=master)](https://travis-ci.org//ipysegment)
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[![codecov](https://codecov.io/gh//ipysegment/branch/master/graph/badge.svg)](https://codecov.io/gh//ipysegment)
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manual image segmentation in jupyter
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## Installation
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You can install using `pip`:
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```bash
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pip install ipysegment
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```
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Or if you use jupyterlab:
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```bash
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pip install ipysegment
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jupyter labextension install @jupyter-widgets/jupyterlab-manager
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```
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If you are using Jupyter Notebook 5.2 or earlier, you may also need to enable
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the nbextension:
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```bash
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jupyter nbextension enable --py [--sys-prefix|--user|--system] ipysegment
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```

‎Untitled.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import ipysegment as seg"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"ipysegment.example.ExampleWidget"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"\n",
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"seg.ExampleWidget"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"import ipysegment as seg"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"ipysegment.example.ExampleWidget"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"seg.ExampleWidget"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.2"
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},
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"widgets": {
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"application/vnd.jupyter.widget-state+json": {
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"state": {},
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"version_major": 2,
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"version_minor": 0
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

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