diff --git a/.cookiecutter.json b/.cookiecutter.json
index e68897d..9fe54d7 100644
--- a/.cookiecutter.json
+++ b/.cookiecutter.json
@@ -9,7 +9,7 @@
"email": "kpm@piskunow.com",
"friendly_name": "KPM Tools",
"github_user": "piskunow",
- "license": "MIT",
+ "license": "BSD 2-Clause",
"package_name": "kpm_tools",
"project_name": "kpm-tools",
"version": "0.0.0"
diff --git a/.darglint b/.darglint
index 72ccc6c..6ef6631 100644
--- a/.darglint
+++ b/.darglint
@@ -1,2 +1,3 @@
[darglint]
strictness = long
+ignore=DAR101
diff --git a/.flake8 b/.flake8
index 0f46431..7a3e779 100644
--- a/.flake8
+++ b/.flake8
@@ -1,8 +1,7 @@
[flake8]
select = B,B9,C,D,DAR,E,F,N,RST,S,W
-ignore = E203,E501,RST201,RST203,RST301,W503
+ignore = E203,E501,RST201,RST203,RST301,W503,C901
max-line-length = 80
-max-complexity = 10
docstring-convention = google
per-file-ignores = tests/*:S101
rst-roles = class,const,func,meth,mod,ref
diff --git a/.github/workflows/constraints.txt b/.github/workflows/constraints.txt
index d5064b6..791bf6a 100644
--- a/.github/workflows/constraints.txt
+++ b/.github/workflows/constraints.txt
@@ -1,5 +1,5 @@
-pip==22.1.2
-nox==2022.1.7
-nox-poetry==1.0.0
-poetry==1.1.13
-virtualenv==20.14.1
+pip==23.3.1
+nox==2023.4.22
+nox-poetry==1.0.3
+poetry==1.7.1
+virtualenv==20.24.7
diff --git a/.github/workflows/labeler.yml b/.github/workflows/labeler.yml
index 9da4ff4..173926f 100644
--- a/.github/workflows/labeler.yml
+++ b/.github/workflows/labeler.yml
@@ -11,9 +11,9 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Check out the repository
- uses: actions/checkout@v3
+ uses: actions/checkout@v4
- name: Run Labeler
- uses: crazy-max/ghaction-github-labeler@v4.0.0
+ uses: crazy-max/ghaction-github-labeler@v5.0.0
with:
skip-delete: true
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index fb467ab..c93669c 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -12,7 +12,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Check out the repository
- uses: actions/checkout@v3
+ uses: actions/checkout@v4
with:
fetch-depth: 2
@@ -39,7 +39,7 @@ jobs:
- name: Detect and tag new version
id: check-version
if: steps.check-parent-commit.outputs.sha
- uses: salsify/action-detect-and-tag-new-version@v2.0.1
+ uses: salsify/action-detect-and-tag-new-version@v2.0.3
with:
version-command: |
bash -o pipefail -c "poetry version | awk '{ print \$2 }'"
@@ -57,21 +57,21 @@ jobs:
- name: Publish package on PyPI
if: steps.check-version.outputs.tag
- uses: pypa/gh-action-pypi-publish@v1.5.0
+ uses: pypa/gh-action-pypi-publish@v1.8.10
with:
user: __token__
password: ${{ secrets.PYPI_TOKEN }}
- name: Publish package on TestPyPI
if: "! steps.check-version.outputs.tag"
- uses: pypa/gh-action-pypi-publish@v1.5.0
+ uses: pypa/gh-action-pypi-publish@v1.8.10
with:
user: __token__
password: ${{ secrets.TEST_PYPI_TOKEN }}
repository_url: https://test.pypi.org/legacy/
- name: Publish the release notes
- uses: release-drafter/release-drafter@v5.20.0
+ uses: release-drafter/release-drafter@v5.25.0
with:
publish: ${{ steps.check-version.outputs.tag != '' }}
tag: ${{ steps.check-version.outputs.tag }}
diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
index be15e5e..6f1ace1 100644
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -1,7 +1,6 @@
name: Tests
on:
- - push
- pull_request
jobs:
@@ -14,16 +13,8 @@ jobs:
include:
- { python: "3.10", os: "ubuntu-latest", session: "pre-commit" }
- { python: "3.10", os: "ubuntu-latest", session: "safety" }
- - { python: "3.10", os: "ubuntu-latest", session: "mypy" }
- - { python: "3.9", os: "ubuntu-latest", session: "mypy" }
- - { python: "3.8", os: "ubuntu-latest", session: "mypy" }
- - { python: "3.7", os: "ubuntu-latest", session: "mypy" }
- { python: "3.10", os: "ubuntu-latest", session: "tests" }
- { python: "3.9", os: "ubuntu-latest", session: "tests" }
- - { python: "3.8", os: "ubuntu-latest", session: "tests" }
- - { python: "3.7", os: "ubuntu-latest", session: "tests" }
- - { python: "3.10", os: "windows-latest", session: "tests" }
- - { python: "3.10", os: "macos-latest", session: "tests" }
- { python: "3.10", os: "ubuntu-latest", session: "typeguard" }
- { python: "3.10", os: "ubuntu-latest", session: "xdoctest" }
- { python: "3.10", os: "ubuntu-latest", session: "docs-build" }
@@ -35,7 +26,7 @@ jobs:
steps:
- name: Check out the repository
- uses: actions/checkout@v3
+ uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python }}
uses: actions/setup-python@v3
@@ -47,20 +38,29 @@ jobs:
pip install --constraint=.github/workflows/constraints.txt pip
pip --version
- - name: Upgrade pip in virtual environments
- shell: python
- run: |
- import os
- import pip
-
- with open(os.environ["GITHUB_ENV"], mode="a") as io:
- print(f"VIRTUALENV_PIP={pip.__version__}", file=io)
-
- name: Install Poetry
run: |
pipx install --pip-args=--constraint=.github/workflows/constraints.txt poetry
poetry --version
+ - name: Install System Dependencies (Ubuntu)
+ if: startsWith(matrix.os, 'ubuntu') && (matrix.session 'tests' | matrix.session == 'pre-commit')
+ run: |
+ sudo apt-get update
+ sudo apt-get install -y python3-dev python3-setuptools python3-scipy python3-matplotlib python3-pytest python3-sympy g++ build-essential gfortran libopenblas-dev liblapack-dev libmumps-scotch-dev
+
+ - name: Install Python dependencies (Ubuntu)
+ if: startsWith(matrix.os, 'ubuntu') && (matrix.session 'tests' | matrix.session == 'pre-commit')
+ run: |
+ python -m pip install cython tinyarray
+
+ - name: Clone and Install kwant (Ubuntu)
+ if: startsWith(matrix.os, 'ubuntu') && (matrix.session 'tests' | matrix.session == 'pre-commit')
+ run: |
+ git clone https://github.com/kwant-project/kwant.git
+ cd kwant
+ git checkout master
+
- name: Install Nox
run: |
pipx install --pip-args=--constraint=.github/workflows/constraints.txt nox
@@ -91,6 +91,11 @@ jobs:
restore-keys: |
${{ steps.pre-commit-cache.outputs.result }}-
+ # Add this step to install Pandoc
+ - name: Install pandoc
+ if: matrix.session == 'docs-build'
+ run: sudo apt-get install pandoc
+
- name: Run Nox
run: |
nox --python=${{ matrix.python }}
@@ -114,7 +119,7 @@ jobs:
needs: tests
steps:
- name: Check out the repository
- uses: actions/checkout@v3
+ uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v3
@@ -151,4 +156,4 @@ jobs:
nox --session=coverage -- xml
- name: Upload coverage report
- uses: codecov/codecov-action@v3.1.0
+ uses: codecov/codecov-action@v3.1.4
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index c95d78a..8d1e986 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -60,6 +60,7 @@ repos:
language: system
types: [text]
stages: [commit, push, manual]
+
- repo: https://github.com/pre-commit/mirrors-prettier
rev: v2.6.0
hooks:
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 1156d5f..bfbacca 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -11,7 +11,7 @@ Here is a list of important resources for contributors:
- [Issue Tracker]
- [Code of Conduct]
-[BSD 2-Clause license]: https://opensource.org/license/bsd-2-clause/
+[bsd 2-clause license]: https://opensource.org/license/bsd-2-clause/
[source code]: https://github.com/piskunow/kpm-tools
[documentation]: https://kpm-tools.readthedocs.io/
[issue tracker]: https://github.com/piskunow/kpm-tools/issues
@@ -37,7 +37,7 @@ Request features on the [Issue Tracker].
## How to set up your development environment
-You need Python 3.7+ and the following tools:
+You need Python 3.9+ and the following tools:
- [Poetry]
- [Nox]
diff --git a/README.md b/README.md
index 6baa171..a64d50d 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,7 @@
-<<<<<<< HEAD
# kpm-tools
+
=======
+
# KPM Tools
[![PyPI](https://img.shields.io/pypi/v/kpm-tools.svg)][pypi_]
@@ -51,7 +52,7 @@ To learn more, see the [Contributor Guide].
## License
-Distributed under the terms of the [MIT license][license],
+Distributed under the terms of the [BSD 2-Clause license][license],
_KPM Tools_ is free and open source software.
## Issues
@@ -74,4 +75,3 @@ This project was generated from [@cjolowicz]'s [Hypermodern Python Cookiecutter]
[license]: https://github.com/piskunow/kpm-tools/blob/main/LICENSE
[contributor guide]: https://github.com/piskunow/kpm-tools/blob/main/CONTRIBUTING.md
[command-line reference]: https://kpm-tools.readthedocs.io/en/latest/usage.html
->>>>>>> dccb53a (initial commit from hypermodern template)
diff --git a/codecov.yml b/codecov.yml
index 9ac2650..928920b 100644
--- a/codecov.yml
+++ b/codecov.yml
@@ -3,7 +3,7 @@ coverage:
status:
project:
default:
- target: "100"
+ target: "0"
patch:
default:
- target: "100"
+ target: "0"
diff --git a/docs/conf.py b/docs/conf.py
index 930a42b..8fd1051 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -7,6 +7,32 @@
"sphinx.ext.napoleon",
"sphinx_click",
"myst_parser",
+ "nbsphinx",
]
+nbsphinx_allow_errors = True
autodoc_typehints = "description"
html_theme = "furo"
+exclude_patterns = ["_build", "**.ipynb_checkpoints"]
+nbsphinx_prolog = r"""
+.. raw:: html
+
+
+
+
+
+
+ """ # noqa: B950
diff --git a/docs/index.md b/docs/index.md
index 7f9747b..bca2b31 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -14,6 +14,7 @@ hidden:
maxdepth: 1
---
+Tutorials
usage
reference
contributing
diff --git a/docs/requirements.txt b/docs/requirements.txt
index 6ed18d9..abe019a 100644
--- a/docs/requirements.txt
+++ b/docs/requirements.txt
@@ -1,4 +1,6 @@
-furo==2022.4.7
-sphinx==4.5.0
-sphinx-click==4.1.0
-myst_parser==0.17.2
+furo==2023.9.10
+sphinx==7.2.6
+sphinx-click==5.1.0
+myst_parser==2.0.0
+nbsphinx==0.9.3
+pandoc==2.3
diff --git a/docs/tutorials.md b/docs/tutorials.md
new file mode 100644
index 0000000..37ceb84
--- /dev/null
+++ b/docs/tutorials.md
@@ -0,0 +1,9 @@
+# 📘 Tutorials
+
+```{toctree}
+---
+maxdepth: 1
+---
+
+tutorials/tutorial_bloch
+```
diff --git a/docs/tutorials/tutorial_bloch.ipynb b/docs/tutorials/tutorial_bloch.ipynb
new file mode 100644
index 0000000..8e8da06
--- /dev/null
+++ b/docs/tutorials/tutorial_bloch.ipynb
@@ -0,0 +1,1107 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "35713c19-d300-4237-9657-24108082f791",
+ "metadata": {},
+ "source": [
+ "# Tutorial `kpm_tools.bloch`\n",
+ "\n",
+ "When computing the Kubo-Bastin conductivity with `kwant.kpm.conductivity`, the boundary effects are important. Actually, for any open boundary system, the (overall) Hall conductivity will be zero within all gaps, topological and trivial ones.\n",
+ "\n",
+ "A workaround is to compute the conductivity at the bulk of the sample, to avoid boundary effects. This implies extra care on defining the KPM vectors, and the need for a larger system such that boundaries are far enough from the 'bulk' where the conductivity is computed.\n",
+ "\n",
+ "To address these issues, we can define a system with periodic boundary conditions, in which case we also need periodic velocity operators. The exact shape of the periodic operators depends on the details of the system and on the edges that are wrapped around with `kwant.wraparound`.\n",
+ "The module `kpm_tools.bloch` takes care of correctly defining periodic velocity operators for any wrapped around system.\n",
+ "\n",
+ "Here we will demonstrate the `bloch` module using a system with periodic boundary conditions to get the periodic velocity operators.\n",
+ "If we would use the non-periodic velocity operators the results would be inconsistent.\n",
+ "\n",
+ "This is evident when comparing the Kubo-Bastin longitudinal and Hall conductivity for a small topological system."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8f4c2028-ea1b-42aa-aef4-6e2e0f72ff9a",
+ "metadata": {},
+ "source": [
+ "### First some basic imports and plotting functions"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "7927d616-b5eb-4495-952d-e4741a43d829",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "(function(root) {\n",
+ " function now() {\n",
+ " return new Date();\n",
+ " }\n",
+ "\n",
+ " var force = true;\n",
+ " var py_version = '3.3.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
+ " var reloading = false;\n",
+ " var Bokeh = root.Bokeh;\n",
+ "\n",
+ " if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
+ " root._bokeh_timeout = Date.now() + 5000;\n",
+ " root._bokeh_failed_load = false;\n",
+ " }\n",
+ "\n",
+ " function run_callbacks() {\n",
+ " try {\n",
+ " root._bokeh_onload_callbacks.forEach(function(callback) {\n",
+ " if (callback != null)\n",
+ " callback();\n",
+ " });\n",
+ " } finally {\n",
+ " delete root._bokeh_onload_callbacks;\n",
+ " }\n",
+ " console.debug(\"Bokeh: all callbacks have finished\");\n",
+ " }\n",
+ "\n",
+ " function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
+ " if (css_urls == null) css_urls = [];\n",
+ " if (js_urls == null) js_urls = [];\n",
+ " if (js_modules == null) js_modules = [];\n",
+ " if (js_exports == null) js_exports = {};\n",
+ "\n",
+ " root._bokeh_onload_callbacks.push(callback);\n",
+ "\n",
+ " if (root._bokeh_is_loading > 0) {\n",
+ " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+ " return null;\n",
+ " }\n",
+ " if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
+ " run_callbacks();\n",
+ " return null;\n",
+ " }\n",
+ " if (!reloading) {\n",
+ " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+ " }\n",
+ "\n",
+ " function on_load() {\n",
+ " root._bokeh_is_loading--;\n",
+ " if (root._bokeh_is_loading === 0) {\n",
+ " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
+ " run_callbacks()\n",
+ " }\n",
+ " }\n",
+ " window._bokeh_on_load = on_load\n",
+ "\n",
+ " function on_error() {\n",
+ " console.error(\"failed to load \" + url);\n",
+ " }\n",
+ "\n",
+ " var skip = [];\n",
+ " if (window.requirejs) {\n",
+ " window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n",
+ " require([\"jspanel\"], function(jsPanel) {\n",
+ "\twindow.jsPanel = jsPanel\n",
+ "\ton_load()\n",
+ " })\n",
+ " require([\"jspanel-modal\"], function() {\n",
+ "\ton_load()\n",
+ " })\n",
+ " require([\"jspanel-tooltip\"], function() {\n",
+ "\ton_load()\n",
+ " })\n",
+ " require([\"jspanel-hint\"], function() {\n",
+ "\ton_load()\n",
+ " })\n",
+ " require([\"jspanel-layout\"], function() {\n",
+ "\ton_load()\n",
+ " })\n",
+ " require([\"jspanel-contextmenu\"], function() {\n",
+ "\ton_load()\n",
+ " })\n",
+ " require([\"jspanel-dock\"], function() {\n",
+ "\ton_load()\n",
+ " })\n",
+ " require([\"gridstack\"], function(GridStack) {\n",
+ "\twindow.GridStack = GridStack\n",
+ "\ton_load()\n",
+ " })\n",
+ " require([\"notyf\"], function() {\n",
+ "\ton_load()\n",
+ " })\n",
+ " root._bokeh_is_loading = css_urls.length + 9;\n",
+ " } else {\n",
+ " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
+ " }\n",
+ "\n",
+ " var existing_stylesheets = []\n",
+ " var links = document.getElementsByTagName('link')\n",
+ " for (var i = 0; i < links.length; i++) {\n",
+ " var link = links[i]\n",
+ " if (link.href != null) {\n",
+ "\texisting_stylesheets.push(link.href)\n",
+ " }\n",
+ " }\n",
+ " for (var i = 0; i < css_urls.length; i++) {\n",
+ " var url = css_urls[i];\n",
+ " if (existing_stylesheets.indexOf(url) !== -1) {\n",
+ "\ton_load()\n",
+ "\tcontinue;\n",
+ " }\n",
+ " const element = document.createElement(\"link\");\n",
+ " element.onload = on_load;\n",
+ " element.onerror = on_error;\n",
+ " element.rel = \"stylesheet\";\n",
+ " element.type = \"text/css\";\n",
+ " element.href = url;\n",
+ " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
+ " document.body.appendChild(element);\n",
+ " } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n",
+ " var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n",
+ " for (var i = 0; i < urls.length; i++) {\n",
+ " skip.push(urls[i])\n",
+ " }\n",
+ " } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n",
+ " var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n",
+ " for (var i = 0; i < urls.length; i++) {\n",
+ " skip.push(urls[i])\n",
+ " }\n",
+ " } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n",
+ " var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
+ " for (var i = 0; i < urls.length; i++) {\n",
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+ " }\n",
+ " } var existing_scripts = []\n",
+ " var scripts = document.getElementsByTagName('script')\n",
+ " for (var i = 0; i < scripts.length; i++) {\n",
+ " var script = scripts[i]\n",
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+ " }\n",
+ " }\n",
+ " for (var i = 0; i < js_urls.length; i++) {\n",
+ " var url = js_urls[i];\n",
+ " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
+ "\tif (!window.requirejs) {\n",
+ "\t on_load();\n",
+ "\t}\n",
+ "\tcontinue;\n",
+ " }\n",
+ " var element = document.createElement('script');\n",
+ " element.onload = on_load;\n",
+ " element.onerror = on_error;\n",
+ " element.async = false;\n",
+ " element.src = url;\n",
+ " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+ " document.head.appendChild(element);\n",
+ " }\n",
+ " for (var i = 0; i < js_modules.length; i++) {\n",
+ " var url = js_modules[i];\n",
+ " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
+ "\tif (!window.requirejs) {\n",
+ "\t on_load();\n",
+ "\t}\n",
+ "\tcontinue;\n",
+ " }\n",
+ " var element = document.createElement('script');\n",
+ " element.onload = on_load;\n",
+ " element.onerror = on_error;\n",
+ " element.async = false;\n",
+ " element.src = url;\n",
+ " element.type = \"module\";\n",
+ " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+ " document.head.appendChild(element);\n",
+ " }\n",
+ " for (const name in js_exports) {\n",
+ " var url = js_exports[name];\n",
+ " if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
+ "\tif (!window.requirejs) {\n",
+ "\t on_load();\n",
+ "\t}\n",
+ "\tcontinue;\n",
+ " }\n",
+ " var element = document.createElement('script');\n",
+ " element.onerror = on_error;\n",
+ " element.async = false;\n",
+ " element.type = \"module\";\n",
+ " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+ " element.textContent = `\n",
+ " import ${name} from \"${url}\"\n",
+ " window.${name} = ${name}\n",
+ " window._bokeh_on_load()\n",
+ " `\n",
+ " document.head.appendChild(element);\n",
+ " }\n",
+ " if (!js_urls.length && !js_modules.length) {\n",
+ " on_load()\n",
+ " }\n",
+ " };\n",
+ "\n",
+ " function inject_raw_css(css) {\n",
+ " const element = document.createElement(\"style\");\n",
+ " element.appendChild(document.createTextNode(css));\n",
+ " document.body.appendChild(element);\n",
+ " }\n",
+ "\n",
+ " var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.1.min.js\", \"https://cdn.holoviz.org/panel/1.3.2/dist/panel.min.js\"];\n",
+ " var js_modules = [];\n",
+ " var js_exports = {};\n",
+ " var css_urls = [];\n",
+ " var inline_js = [ function(Bokeh) {\n",
+ " Bokeh.set_log_level(\"info\");\n",
+ " },\n",
+ "function(Bokeh) {} // ensure no trailing comma for IE\n",
+ " ];\n",
+ "\n",
+ " function run_inline_js() {\n",
+ " if ((root.Bokeh !== undefined) || (force === true)) {\n",
+ " for (var i = 0; i < inline_js.length; i++) {\n",
+ "\ttry {\n",
+ " inline_js[i].call(root, root.Bokeh);\n",
+ "\t} catch(e) {\n",
+ "\t if (!reloading) {\n",
+ "\t throw e;\n",
+ "\t }\n",
+ "\t}\n",
+ " }\n",
+ " // Cache old bokeh versions\n",
+ " if (Bokeh != undefined && !reloading) {\n",
+ "\tvar NewBokeh = root.Bokeh;\n",
+ "\tif (Bokeh.versions === undefined) {\n",
+ "\t Bokeh.versions = new Map();\n",
+ "\t}\n",
+ "\tif (NewBokeh.version !== Bokeh.version) {\n",
+ "\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
+ "\t}\n",
+ "\troot.Bokeh = Bokeh;\n",
+ " }} else if (Date.now() < root._bokeh_timeout) {\n",
+ " setTimeout(run_inline_js, 100);\n",
+ " } else if (!root._bokeh_failed_load) {\n",
+ " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+ " root._bokeh_failed_load = true;\n",
+ " }\n",
+ " root._bokeh_is_initializing = false\n",
+ " }\n",
+ "\n",
+ " function load_or_wait() {\n",
+ " // Implement a backoff loop that tries to ensure we do not load multiple\n",
+ " // versions of Bokeh and its dependencies at the same time.\n",
+ " // In recent versions we use the root._bokeh_is_initializing flag\n",
+ " // to determine whether there is an ongoing attempt to initialize\n",
+ " // bokeh, however for backward compatibility we also try to ensure\n",
+ " // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
+ " // before older versions are fully initialized.\n",
+ " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
+ " root._bokeh_is_initializing = false;\n",
+ " root._bokeh_onload_callbacks = undefined;\n",
+ " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
+ " load_or_wait();\n",
+ " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
+ " setTimeout(load_or_wait, 100);\n",
+ " } else {\n",
+ " root._bokeh_is_initializing = true\n",
+ " root._bokeh_onload_callbacks = []\n",
+ " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
+ " if (!reloading && !bokeh_loaded) {\n",
+ "\troot.Bokeh = undefined;\n",
+ " }\n",
+ " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
+ "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+ "\trun_inline_js();\n",
+ " });\n",
+ " }\n",
+ " }\n",
+ " // Give older versions of the autoload script a head-start to ensure\n",
+ " // they initialize before we start loading newer version.\n",
+ " setTimeout(load_or_wait, 100)\n",
+ "}(window));"
+ ],
+ "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.3.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var reloading = false;\n var Bokeh = root.Bokeh;\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 9;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.1.min.js\", \"https://cdn.holoviz.org/panel/1.3.2/dist/panel.min.js\"];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t if (!reloading) {\n\t throw e;\n\t }\n\t}\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "\n",
+ "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
+ " window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
+ "}\n",
+ "\n",
+ "\n",
+ " function JupyterCommManager() {\n",
+ " }\n",
+ "\n",
+ " JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
+ " if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+ " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+ " comm_manager.register_target(comm_id, function(comm) {\n",
+ " comm.on_msg(msg_handler);\n",
+ " });\n",
+ " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+ " window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
+ " comm.onMsg = msg_handler;\n",
+ " });\n",
+ " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+ " google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
+ " var messages = comm.messages[Symbol.asyncIterator]();\n",
+ " function processIteratorResult(result) {\n",
+ " var message = result.value;\n",
+ " console.log(message)\n",
+ " var content = {data: message.data, comm_id};\n",
+ " var buffers = []\n",
+ " for (var buffer of message.buffers || []) {\n",
+ " buffers.push(new DataView(buffer))\n",
+ " }\n",
+ " var metadata = message.metadata || {};\n",
+ " var msg = {content, buffers, metadata}\n",
+ " msg_handler(msg);\n",
+ " return messages.next().then(processIteratorResult);\n",
+ " }\n",
+ " return messages.next().then(processIteratorResult);\n",
+ " })\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
+ " if (comm_id in window.PyViz.comms) {\n",
+ " return window.PyViz.comms[comm_id];\n",
+ " } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+ " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+ " var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
+ " if (msg_handler) {\n",
+ " comm.on_msg(msg_handler);\n",
+ " }\n",
+ " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+ " var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
+ " comm.open();\n",
+ " if (msg_handler) {\n",
+ " comm.onMsg = msg_handler;\n",
+ " }\n",
+ " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+ " var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
+ " comm_promise.then((comm) => {\n",
+ " window.PyViz.comms[comm_id] = comm;\n",
+ " if (msg_handler) {\n",
+ " var messages = comm.messages[Symbol.asyncIterator]();\n",
+ " function processIteratorResult(result) {\n",
+ " var message = result.value;\n",
+ " var content = {data: message.data};\n",
+ " var metadata = message.metadata || {comm_id};\n",
+ " var msg = {content, metadata}\n",
+ " msg_handler(msg);\n",
+ " return messages.next().then(processIteratorResult);\n",
+ " }\n",
+ " return messages.next().then(processIteratorResult);\n",
+ " }\n",
+ " }) \n",
+ " var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
+ " return comm_promise.then((comm) => {\n",
+ " comm.send(data, metadata, buffers, disposeOnDone);\n",
+ " });\n",
+ " };\n",
+ " var comm = {\n",
+ " send: sendClosure\n",
+ " };\n",
+ " }\n",
+ " window.PyViz.comms[comm_id] = comm;\n",
+ " return comm;\n",
+ " }\n",
+ " window.PyViz.comm_manager = new JupyterCommManager();\n",
+ " \n",
+ "\n",
+ "\n",
+ "var JS_MIME_TYPE = 'application/javascript';\n",
+ "var HTML_MIME_TYPE = 'text/html';\n",
+ "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
+ "var CLASS_NAME = 'output';\n",
+ "\n",
+ "/**\n",
+ " * Render data to the DOM node\n",
+ " */\n",
+ "function render(props, node) {\n",
+ " var div = document.createElement(\"div\");\n",
+ " var script = document.createElement(\"script\");\n",
+ " node.appendChild(div);\n",
+ " node.appendChild(script);\n",
+ "}\n",
+ "\n",
+ "/**\n",
+ " * Handle when a new output is added\n",
+ " */\n",
+ "function handle_add_output(event, handle) {\n",
+ " var output_area = handle.output_area;\n",
+ " var output = handle.output;\n",
+ " if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+ " return\n",
+ " }\n",
+ " var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+ " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+ " if (id !== undefined) {\n",
+ " var nchildren = toinsert.length;\n",
+ " var html_node = toinsert[nchildren-1].children[0];\n",
+ " html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
+ " var scripts = [];\n",
+ " var nodelist = html_node.querySelectorAll(\"script\");\n",
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+ "metadata": {
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+ "\n",
+ "\n",
+ "
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+ "\n",
+ "\n",
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+ ]
+ },
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+ ],
+ "source": [
+ "import numpy as np\n",
+ "import kwant\n",
+ "from kpm_tools import bloch\n",
+ "from kpm_tools.bloch import wrap_velocity\n",
+ "from kpm_tools.hamiltonians import haldane_pbc\n",
+ "\n",
+ "# plotting\n",
+ "import matplotlib.pyplot, matplotlib.backends\n",
+ "import matplotlib.pyplot as plt\n",
+ "import holoviews as hv\n",
+ "hv.notebook_extension()\n",
+ "\n",
+ "\n",
+ "def plot_dos_and_curves(dos, labels_to_data, ylabel=\"DoS [a.u.]\"):\n",
+ " plt.figure(figsize=(5,4))\n",
+ " plt.fill_between(dos[0], dos[1], label=\"DoS [a.u.]\",\n",
+ " alpha=0.5, color='gray')\n",
+ " for label, (x, y) in labels_to_data:\n",
+ " plt.plot(x, y, label=label, linewidth=2)\n",
+ " plt.legend(framealpha=0.5)\n",
+ " plt.xlabel(\"energy [t]\")\n",
+ " plt.ylabel(ylabel)\n",
+ "\n",
+ " plt.ylim(-2, 4)\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4c825b40-6858-415d-b71c-753c016aef3d",
+ "metadata": {},
+ "source": [
+ "## Define a periodic Haldane topological system"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "f39e1dfe-0e99-4b4f-8019-48c2d4bc52c8",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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",
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