From 9ed51fcf16da41ff8e1a683177df031fbba0fd85 Mon Sep 17 00:00:00 2001 From: Dom Date: Mon, 31 May 2021 12:30:26 +0100 Subject: [PATCH] Release 1.0.0 (#36) --- .gitignore | 1 + .pre-commit-config.yaml | 2 +- README.md | 135 +- docs/examples/interactive-plots.ipynb | 269 +- docs/examples/iris-report.ipynb | 28993 +---------------------- docs/images/iris-report-compressed.png | Bin 0 -> 425356 bytes esparto/__init__.py | 83 +- esparto/_adaptors.py | 2 - esparto/_content.py | 329 +- esparto/_contentdeps.py | 8 +- esparto/_layout.py | 573 +- esparto/_options.py | 3 + esparto/_publish.py | 15 +- esparto/_utils.py | 56 + esparto/resources/jinja/base.html | 78 +- poetry.lock | 237 +- pyproject.toml | 14 +- tests/conftest.py | 35 +- tests/test_content.py | 2 +- tests/test_layout.py | 200 +- tests/test_publish.py | 37 +- 21 files changed, 1630 insertions(+), 29442 deletions(-) create mode 100644 docs/images/iris-report-compressed.png create mode 100644 esparto/_utils.py diff --git a/.gitignore b/.gitignore index dba6d2f..9fd168a 100644 --- a/.gitignore +++ b/.gitignore @@ -4,6 +4,7 @@ image.jpg esparto-doc.html esparto-quick.html +esparto-doc.pdf docs/examples/*.html # IDE files diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 13a0363..7f13e2c 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -34,5 +34,5 @@ repos: - id: version name: Version language: system - entry: python -m tests.check_package_version + entry: poetry run python -m tests.check_package_version types: [python] diff --git a/README.md b/README.md index 0184802..54dadfe 100644 --- a/README.md +++ b/README.md @@ -2,48 +2,117 @@ esparto ======= [![image](https://img.shields.io/pypi/v/esparto.svg)](https://pypi.python.org/pypi/esparto) +[![PyPI pyversions](https://img.shields.io/pypi/pyversions/esparto.svg)](https://pypi.python.org/pypi/esparto/) [![Build Status](https://travis-ci.com/domvwt/esparto.svg?branch=main)](https://travis-ci.com/domvwt/esparto) [![codecov](https://codecov.io/gh/domvwt/esparto/branch/main/graph/badge.svg?token=35J8NZCUYC)](https://codecov.io/gh/domvwt/esparto) [![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=domvwt_esparto&metric=alert_status)](https://sonarcloud.io/dashboard?id=domvwt_esparto) -Esparto is a simple HTML and PDF document generator for Python. Its primary use is for generating shareable single page reports -with content from popular analytics and data science libraries. +`esparto` is a simple HTML and PDF document generator for Python. The API has been designed to emphasise +productivity and reliability over flexibility or complexity - although you should find that it serves many +use cases more than adequately. `esparto` is suitable for tasks such as: +* Designing simple web pages +* Automated MI reporting +* Collating and sharing data graphics +* ML model performance and evaluation documents + + +## Main Features +* Lightweight API +* Jupyter Notebook support +* Output self-contained HTML and PDF files +* Responsive layout from [Bootstrap](https://getbootstrap.com/) +* No CSS or HTML required +* Automatic conversion for: + * Markdown + * Images + * Pandas DataFrames + * Matplotlib + * Bokeh + * Plotly + + +## Installation +`esparto` is available from PyPI: +```bash +pip install esparto +``` + +If PDF output is required, `weasyprint` must also be installed: +```bash +pip install weasyprint +``` + + +## Dependencies + +* [python](python.org) >= 3.6 +* [jinja2](https://palletsprojects.com/p/jinja/) +* [markdown](https://python-markdown.github.io/) +* [Pillow](https://python-pillow.org/) +* [weasyprint](https://weasyprint.org/) _(optional - for PDF output)_ + + +## License +[MIT](https://opensource.org/licenses/MIT) + + +## Documentation Full documentation and examples are available at [domvwt.github.io/esparto/](https://domvwt.github.io/esparto/). -## Overview -The library features a streamlined API that defines pages in terms of -sections, rows, and columns; and an intelligent wrapping system that automatically -converts Python objects into content. -We use the grid system and components from [Bootstrap](https://getbootstrap.com/) to ensure -documents adapt to the viewing device and appear immediately familiar and accessible. -No knowledge of Bootstrap or web development is required to use the library, however, as these -details are conveniently abstracted. +## Basic Usage +```python +import esparto as es -At publishing time, the completed document is passed to [Jinja2](https://palletsprojects.com/p/jinja/) -and fed into an HTML template with all style details and dependencies captured inline. +# Instantiating a Page +page = es.Page(title="Research") -Esparto supports content rendering within Jupyter Notebooks, allowing users to interactively -and iteratively build documents without disrupting their workflow. +# Page layout hierarchy: +# Page -> Section -> Row -> Column -> Content -PDF conversion is provided by [Weasyprint](https://weasyprint.org/). +# Add or update content +# Keys are used as titles +page["Introduction"]["Part One"]["Item A"] = "lorem ipsum" +page["Introduction"]["Part One"]["Item B"] = "./pictures/image1.jpg" -### Features -* Lightweight API -* No CSS or HTML required -* Device responsive display -* Self contained / inline dependencies -* Jupyter Notebook support -* Printer friendly formatting -* PDF output -* MIT License - -### Supported Content -* Markdown -* Images -* Pandas DataFrames -* Plots from: - * Matplotlib - * Bokeh - * Plotly +# Add content without a title +page["Introduction"]["Part One"][""] = "Hello, Wolrd!" + +# Replace child at index - useful if no title given +page["Introduction"]["Part One"][-1] = "Hello, World!" + +# Set content and return either content or layout +# Useful in Jupyter Notebook as it will be displayed in cell output +page["Methodology"]["Part One"]["Item A"] << "dolor sit amet" +# >>> "dolor sit amet" +page["Methodology"]["Part Two"]["Item B"] >> "foobar" +# >>> {'Item A': ['Markdown']} + +# Show document structure +page.tree() +# >>> {'Research': [{'Introduction': [{'Part One': [{'Item A': ['Markdown']}, +# {'Item B': ['Image']}]}]}, +# {'Methodology': [{'Part One': [{'Item A': ['Markdown']}]}, +# {'Part Two': [{'Item A': ['Markdown']}]}]}]} + +# Remove content +del page["Methodology"]["Part One"]["Item A"] +del page.methodology.part_two.item_b + +# Access existing content as an attribute +page.introduction.part_one.item_a = "./pictures/image2.jpg" +page.introduction.part_one.tree() +# >>> {'Part One': [{'Item A': ['Image']}, +# {'Item B': ['Image']}, +# {'Column 2': ['Markdown']}]} + +# Save the document +page.save_html("my-page.html") +page.save_pdf("my-page.pdf) +``` + + +## Example Output + diff --git a/docs/examples/interactive-plots.ipynb b/docs/examples/interactive-plots.ipynb index 4786f4b..92cd36b 100644 --- a/docs/examples/interactive-plots.ipynb +++ b/docs/examples/interactive-plots.ipynb @@ -12,13 +12,20 @@ "\n", "We will look at:\n", "* Interactive plotting with Bokeh and Plotly\n", - "* Adding interactive content to the page" + "* Adding interactive content to the page\n", + "\n", + "In this example we use explicitly define the page structure with `Section`, `Row`, and `Column` classes. \n", + "The same result can be achieved using square brackets and attributes to get and set items." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:48:32.543241Z", + "start_time": "2021-05-31T10:48:30.529143Z" + }, "colab": { "base_uri": "https://localhost:8080/" }, @@ -38,6 +45,10 @@ "cell_type": "code", "execution_count": 2, "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:48:33.565593Z", + "start_time": "2021-05-31T10:48:32.546227Z" + }, "id": "0Pzi4t5EsUlq" }, "outputs": [], @@ -53,7 +64,12 @@ { "cell_type": "code", "execution_count": 3, - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:48:33.584239Z", + "start_time": "2021-05-31T10:48:33.569419Z" + } + }, "outputs": [ { "data": { @@ -297,7 +313,7 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js\": \"YF85VygJKMVnHE+lLv2AM93Vbstr0yo2TbIu5v8se5Rq3UQAUmcuh4aaJwNlpKwa\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.1.min.js\": \"KKuas3gevv3PvrlkyCMzffFeaMq5we/a2QsP5AUoS3mJ0jmaCL7jirFJN3GoE/lM\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.1.min.js\": \"MK/uFc3YT18pkvvXRl66tTHjP0/dxoSH2e/eiNMFIguKlun2+WVqaPTWmUy/zvh4\"};\n", + " const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.2.min.js\": \"XypntL49z55iwGVUW4qsEu83zKL3XEcz0MjuGOQ9SlaaQ68X/g+k1FcioZi7oQAc\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.2.min.js\": \"bEsM86IHGDTLCS0Zod8a8WM6Y4+lafAL/eSiyQcuPzinmWNgNO2/olUF0Z2Dkn5i\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.2.min.js\": \"TX0gSQTdXTTeScqxj6PVQxTiRW8DOoGVwinyi1D3kxv7wuxQ02XkOxv0xwiypcAH\"};\n", "\n", " for (let i = 0; i < js_urls.length; i++) {\n", " const url = js_urls[i];\n", @@ -322,7 +338,7 @@ " }\n", "\n", " \n", - " var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.1.min.js\"];\n", + " var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.2.min.js\"];\n", " var css_urls = [];\n", " \n", "\n", @@ -368,7 +384,7 @@ " }\n", "}(window));" ], - "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"1002\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\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, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\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 == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\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\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\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 }\n\n const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js\": \"YF85VygJKMVnHE+lLv2AM93Vbstr0yo2TbIu5v8se5Rq3UQAUmcuh4aaJwNlpKwa\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.1.min.js\": \"KKuas3gevv3PvrlkyCMzffFeaMq5we/a2QsP5AUoS3mJ0jmaCL7jirFJN3GoE/lM\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.1.min.js\": \"MK/uFc3YT18pkvvXRl66tTHjP0/dxoSH2e/eiNMFIguKlun2+WVqaPTWmUy/zvh4\"};\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n if (url in hashes) {\n element.crossOrigin = \"anonymous\";\n element.integrity = \"sha384-\" + hashes[url];\n }\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\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 \n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.1.min.js\"];\n var css_urls = [];\n \n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n if (force === true) {\n display_loaded();\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 } else if (force !== true) {\n var cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"1002\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\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, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\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 == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\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\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\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 }\n\n const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.2.min.js\": \"XypntL49z55iwGVUW4qsEu83zKL3XEcz0MjuGOQ9SlaaQ68X/g+k1FcioZi7oQAc\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.2.min.js\": \"bEsM86IHGDTLCS0Zod8a8WM6Y4+lafAL/eSiyQcuPzinmWNgNO2/olUF0Z2Dkn5i\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.2.min.js\": \"TX0gSQTdXTTeScqxj6PVQxTiRW8DOoGVwinyi1D3kxv7wuxQ02XkOxv0xwiypcAH\"};\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n if (url in hashes) {\n element.crossOrigin = \"anonymous\";\n element.integrity = \"sha384-\" + hashes[url];\n }\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\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 \n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.2.min.js\"];\n var css_urls = [];\n \n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n if (force === true) {\n display_loaded();\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 } else if (force !== true) {\n var cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" @@ -381,7 +397,12 @@ { "cell_type": "code", "execution_count": 4, - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:48:33.625700Z", + "start_time": "2021-05-31T10:48:33.587138Z" + } + }, "outputs": [ { "data": { @@ -476,7 +497,12 @@ { "cell_type": "code", "execution_count": 5, - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:48:33.818283Z", + "start_time": "2021-05-31T10:48:33.628662Z" + } + }, "outputs": [ { "data": { @@ -487,7 +513,7 @@ "\n", "\n", "\n", - "
\n" + "
\n" ] }, "metadata": {}, @@ -499,8 +525,8 @@ "(function(root) {\n", " function embed_document(root) {\n", " \n", - " var docs_json = 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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"B\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"C\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"D\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"__x__values\":{\"__ndarray__\":\"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oDzPApMTYyTquM8AviM6/KlE1wOf0ocCRLTTALJc/NL9YNMBQbHY5/W01wPZYAn0P9DTAicmdC8iFNMBR1tKXUNYzwDY18wURjTLA3bN5Tym+MsAnz7mFrHozwMgd/xe4RTTANh0cFUaRNMB4m+3Nxwg2wFHXZwW+fzbAmmqcUoGWNcD8Sn6Lt0w3wP90gC+KlzjAgkGzkJZjOcDyOAwDfbU5wDENbV21qTjAWYLnlQ1SOcCjat1wglM6wH/qCgHVhzrAxN/ymbkXOsBKQdWr3Fo6wGyET8zZkzrA8/jaBDSXOsC7BKqGTtg6wGhvW2LM7zrA4jiOQsvXPMDmejW5AkM8wP+egtA9NDzA88RroXQZPMAhgJLu3BI+wE6z/DhR6jzAIdEFSlKNPcAsCbV8Smc9wBrl0x6jmz7AcTLTMlF1PsB8g8HB8p4/wDmRsznTaUDAlNuMjbGYP8Ap1w1pqZQ/wEWCiWZcoD/A1jm45+xNPsAEaqf1Ebs9wN0DJ8imSjzAg2hZyINyPcCQ5Em9UQk+wOYg40Umnj/A3aaBXz9CQMCIe5AZzJ1AwCC4xz2cJEHABV4AOwpgQcCjyxwgfspAwJLc1oDbK0HADmE5+3zeQMALEfuLMj9AwDS87Uo+EUDAThyk71E3PsC5X6ldjUA9wK4lyJEtwjzAwkH5B8nkOsBTxfqpd6A5wCXXFbaLFDnAKhsrw/NpOMDUAD4iFqM3wM/jEV2dfDfA1H1WjdkbOMAWYdRxHVg4wEvX949ZYDrAsN58oaSuO8BRK+wZF5Q9wFpcKbcfUz3A7Ar8mcEePsAlP6Q1naA+wKqtXxDEcj/Av3r4qC78PsBUQhhb/zs9wO/5QaivVT7A6zRQG9FkQMBE7Ai2M7dAwDcE22DcQEHAqxSG6I9DQcDvzE0te69BwPKjMuAXvkHAQhbOj33mQcCNZzgHmWNCwB7oEJAQWkLAVnrDY7LeQsApM4sxdnlDwJaBLIeDKkPA93Rj8fiBQ8CVPbM729ZDwMxqyJz5/0LAPr84qrCHQ8BQ7BKySclDwFKHeLytokLAUVwTq8rDQsBCRcsWd9tCwFn3ps7zMkLAnMUa+vtWQsDZ8LXJUIJCwOqcQg7rzULAzUUNJnJaQ8ByF9RG7VJDwGiTqgdy4EHABcrY2NNSQsAl1XI0aVJDwJzlggNhfkPAtGHbZTvHQ8BVLvfCiJtDwBlJO7DsiEPA1r17RmvFQ8D0brM+KlxDwCe/3Rn0qULAXdKnEe0XQ8AQIaCavyBDwBtxRnHBR0PA2QlzJa6GQ8BggejaDqxCwA6Qvdab00HA5z8R56HSQcBU29pBomBCwJ7gteDDuULA1XycesKZQsCIo2JcsldCwK0i1P1dGELAHUcza3puQsCSLUk+FUNCwLMJzkqgGELArHnJR3GqQsBrtFlvO7VCwArP2dHzJ0LAqcwB0bTkQcAEBOhQMTVCwDyPCK7GL0LAnqpK1J52QcBHymGsvt5BwLMIW1iAgUHAbeM+HYXFQcAwSsb+kMtBwCgKsCbpUELA+wYCV3J9QsAIGeAkuO1BwHjxykt+60DA7EPSdpPQQMDIihx3Ip5AwAMGUL7xwkDAq0jJGxulQMBdDzvsY7hAwDjdh+fJnUDAOKXqvtvMQMBfSgehe88/wHwBVhRlGUDAq4ENBnjkP8A1curLgwc/wGSpoD2qvT7AUmMV3+ApPcDE7Lw66FI8wFjTMEk1pD3AY2s77tEOPMCTJLdrbHM8wCYZcPFXgT3AwhI09lUsPsDVT97c/nk9wIHLgIWgtjvAR9exXuIgO8BP8Bekz+s5wM+jqgLsgznAltRyYiVAOsBCABqkfik4wMfEkXJYZjjAECz9PyFEOcD/6BrrDsg4wJ/GkCBZ5jnAVIxu8sVMOcDRJV6C5Ow4wH/5oXEmHDnAIMeAUCaON8DAnfAsPRE4wHn+YAYbWjjAPpBWAfggOcBKi1Btisw5wCKwsmzmSTnAHNiUiarSOMDETn65M0s5wGqvRjkqwDjAa6RIDFeuOMD7FU1NEQw5wE0IGTzxdjjAOG1b9WggOMDwE1NWuA05wFVk1ximaDrAUdC6NyITOsAx6vNtxXU6wNriEXKxGjvAKVAQ+8mAO8DmzqjufqA7wBISngsB4DrAW95hzLUfO8AKU3fC5aQ6wBMQI3A2tTrAiEqFNFjlOsC2+NbE3OU5wIdNsZ9H/jjA9Y26GywwO8D6NcdMcbw6wD49YL+3hTrANJjUVDVSOcAPAiZJY+s5wEAfsDFx1zvAJZti/2yoOsB9Cl8GMKU7wJ8s6abIpDzALUwGDPVhPMAveBw6SVw9wC6P61IXjDzAQm3zmkP1PcCyqJ6NY1s/wODB+gacVT3AAOlYWxYBPsAwytZTcw4+wLkCzI0dET/A7r/0nAv0PsBjkj2UQD8/wNZ9w/XyiD/At24lhll4P8BYYfh6ph8/wGY/CkECJz/AuRdJ81cbPsCxPdp3cb8+wJcPmD0cHEDAOdyPtAKKP8AFVO9o/hc9wJpsgrOrbD7AyFLI/XjYPsCxy8I5RbI+wJcR4ikpwz3Aolzv9vRAPsA5UneTgnM9wEmi4ZnztjvACb/5pSqYPMBPPLhhAbY7wBZ8tD1+czvAayhPJEYeO8CMbLXRxuo8wAvIOoPAJz3AdGVM7VkEPsCalFtfPbM+wNK2NYKqyT/ACunSSc5KQMBDuggYzt9AwJT2mUZUBEDAmNnVfR31P8CqW5YV8hA+wC92hXT1ezzAQ0J8EJriOsAVG1ypwOU6wDdfFdkzOzrAYnDhUGikOsC4Gmn5TmY6wH9CzKo3+zrAq4f00chhO8AwQXWsLIc5wFX+QXLA6jnAWSjSspZ3OsBnsg8lL3o7wIvseyKVfDrALY1JO8DbO8DkjuUwfAQ8wC2aMtX18TzAQpJ4gGkQPcBe4lJF3049wMaNkpmxpz3AKlBoR2VuO8A6I/MXK0k8wBrKUTvHwTvAE5OzN6z0OsBDCHZc9Bg6wBKSJ/TOwDnA5KjB8cZ2OsAuhePMX6c5wIZ2BxrJgTjAJx+b1WmbOMCc/TCg9EE5wLIDay1IATnAL2f4Y1vlOcDtVDUWcEs6wHjRBdUsgjnAm2EYztdLOsDO+hpXm/o7wIXFGN6PXTvAVCh6uCeMO8CSJ5/LFRc7wBen+YA+mjzAstTB3C+RPcC+Ryiwzak9wAm8BJAdYT7AXfm3oD6mPsD9CZa/cmw+wNDGKjubsT7ArS890BkWP8Db4oPjr0Y/wAcuF/lUb0DA0W5TNYR+QMCuo05rL9JAwJTYW327M0HA7Hr9HN4DQcAHIrX6hwlAwK/akLO120DAx63PxPAZQMANbtCcOgFAwHDiU3vxAz/AqS91piLLQMCTFD/RWiNBwKm5yDPCFkHANn2Jw+fiQcDlcKJqg9RBwBDE2IDMVUHAD4qG8u+JQMAsOjik6Pg/wJ+tQvXpyD/AI/X3mLT/P8DqtjpfmQFAwEGgL0dJoD/Awd/GzVe1P8CnsHwsxMM/wLCJjD8GWkDAbyhHzIswQMBBhiLBLs9AwCw0qWwpBUHAJo/nvgngQMCd3AHE2ulBwH1H7C2xNELAadvlxsL8QsBT4XWWpaRCwAbnUjfojULAWJjRBXLHQcDebNKKJH5CwNKYalV2BULAGH5KSXsgQsDxXNq8RU5CwFvYJ7YGG0PAI0gIiwh9Q8C6B0CVXEZDwJ2ZYXZL5kLAcs3n271TQ8BeAScvjLhDwB+8nTouiUPAjI+R878yQ8AYXVA5T5RDwNs0w30iokPAKbslE+FrQ8ALcU6TrF5DwHxHBTzaukLARB7y3PczQsBcaBu1QpZCwME55WhklULAP/SV0aI/Q8AHgjpJy2lDwHW9QlOCzkPAWGuYiTs8RMCr4M+3hTRFwJ7Ee5W53kXAc4EhRhndRcBtNOmn54FGwG3jthfKykXAS9LZj84PRsAlYxBNAsdFwEaMoh1iGkbAMY2DK6TORcAEEv64CZVFwLRSpU2uykXAJV5NOrWhRcDpmMY0Ym1GwMuY+HBcfkbAlzp0Q6u/RsAFqwdCupNGwNZsspklOUbAJB8ZsquDRsD1TJUNa0BGwCqgmKw+4EXAzxUkchd4RsAIvNXaUcZFwOhg1gsiNUbAcbETzMeORcCYZeYQdHJGwEAtBm4GuUbAIB5vR0MgRsChH7b8ElpGwMIsArdk4EbAKW57SJ5jR8BTIuOvVm1HwKUOlOB1dkjAQBWWyvqDSMDLQ3R6gTBHwIFxJ/IW00bAMj3AmdadRsBarR5WPwZGwCMzsa9EckbAk+s4XyNgRsA6+JfEMntFwNebrEZqM0XA2aWg1w9SRMDGbtsHu+9DwE4D6I+2X0PAVIhNfeLLQ8CcswaUmxVEwOMMcb7nHETAvU6tj3lsRMAySJZymWREwAXM5AhtDUTAT3IRAt69RMCxN7NibnlEwOklrSZbf0TA7ycC2JdLRMAZVU9YyIlEwATW3U4210TAiINGFhHzRMDWYg0KbjhEwJ4333+cRUTAK23QbbCURMCsoiKCSfpEwF31XfCTt0XARUnzBoGsRMACK/5RVcBFwJUbjsXY30TAnQth56JzRMBcm4bHHgdDwO+bCx1LuULAlKhFS9x1Q8DqQN8J3vZCwGAwwnpTkUPAALIqFhE9Q8ANYAotdChDwNG3TNUIyUPAb00Ry+zZQ8DJvmSM11JDwL1FJhWKw0LAoXFLusFZQ8Cuazkt8k9DwP2zHfFEkkPA1V6Ikka3Q8DlKvpsX+5DwLZ7E9kGTUPA2VVGLdsaQ8CniVFUdBhDwFbe6f0Aq0LAkZUFwRGiQsB9bfVUJeJCwEvLUqwoCkTAnEgaAOUxRMDPshv0SO9DwCaVo3OmsEPAuuV/TPv+Q8D3KjZ1B6RDwDZRjPu9IUTAkBqa29LaQ8By4pkdv6ZEwMLOeDjZg0TANMptlGbeRMA+iZafXlJEwDiXwcpjC0TAgKmu/UpeRcA0SqjYzqxFwCSO5REeUUXAw9NCHOhSRsAW27fMum5GwA2iKJgwO0bARH2WiB6hRsAdY3GVahRGwAwSbb8qnkbAUJMB769ERsDcZdTeduNFwHr6K7llZEXA43BycVh8RcD8+4Z+bx5FwGy6iL+cSkbAz4wLF9v7RcD/a0c9VAxGwPf6KFgWyEbAMQ8MCjOJRsDDFo6BJPBFwPf5XqPUUkbAtMWXBAAnRsC21OA8mupGwPo1rex/6kbAbpYPJmTERsAHn/dczPlGwIw3nzGmGEjACH7A7hs7SMAnjXxAbThIwMYFQQ1nSkfAJlUBL7BOR8CmRVxaYoBHwH8I6RTlLEfADD9i7sbmRsDBq5z24OZFwH3vnnLOxUTA2vRrAyoGRcCaWBKreZtEwAm/8iXLU0TAUQO5A1soRMCHANl+d/5EwNczhHc1D0XAbhHhfTSfRcBarhVjjJhEwOiJ9EdBhUTAtDAXJe+JQ8Bg2xVnAjdDwD6jj0YzoUPAvvR6xcsGRMBujmvdqnxDwMjRyQkoukPAkYZFk6OqQ8ClXCPzrv5DwLW0IFukJETAwNdRtu1aQ8CSL0kVmuFCwAFGrvs3CkPAXmkiaiNTQsDBNqjI63BCwCfR+TbKsELAjWIYsXwyQ8CJRnB/9WhDwFgoPItLtkPAmb1W1AvEQsDMgZ0QceBCwEbrt8VdwkLA4luf8Q8aRMBaWD5TbHtEwBPYZ/tbakTAMN1tIF58RMBLg7JqkSREwHqIWcmKIETAxZAKtvk0RMDsPeR0mPpDwGB10REhxUTA1fO0ww/rRMCXTewdj4hEwGXifXYa5UTA58GQXtOJRMDUAEmA4E1FwFj7tQ7n2UXARohp2cGcRcARUB5G8iFGwBCxg6IEBUbAOm2Kgz5QRcBN6zy0CfBFwMTCo9aAKEbAAxa0af0tRsBsxj8FBd5FwIBRFROTV0XA11BSNpMlRcBvf3geuOFFwKrfKZU8DUbAbgUpG/eORcAXgl8VIa9FwI+K+/DDs0XAJyseShokRcAm4bnWE25FwMAK4jFvzkTAB1V2IwmTRMBLvDN5Wz1FwFgv8XghVkTAk9/ZsymrRMDLB9evzs9EwBazk35ldUTAYG6v1m/kRMCokzdIhDhFwEX0eIPLZkTAOd9OlAppRcCwfsOKNSZFwBubiSPr+0TAxYBfc8cqRcBvVUtDCEtFwNuueU4FUEXAbEXzI4ezRMBeQqSJ8mZEwCxwnMlY/UPAafVz0jYEQ8BAfZunozdDwJHWWvdULUPAWIqX0cmQQsBtKYMgxHlCwIbdJsGnukLA+/QGgH5VQ8Bq9V4VgaBCwOaSDvkOs0LAoVRZuNbhQsDAr2GtXqRCwAP12WZXFULAdDZY/4SnQcBu0CcMEndCwHLEK2o8UELAvwPwdK4xQsBh0nSI0MxBwHhkPLkqtUHAlED7J3+kQcAJXsmxxrtBwPIku4TuqUHA9hd18RsUQcDu3+J9T8NAwKWxlyJ42EDAMOfkSoH9P8BN605mRl5AwMJ+0L5sX0DA3fbvZcFrQcDrmxtMSfBBwO181hMxUkHAi43uK8CHQcCJO+f+Vb9AwDlm4cGhv0DAdDiaixC/QMDefrI7Qz5AwBMSWuuI5T/AelJYHaWAQMAZpIQfGKpAwLbonCRnN0HAy7jV/B98QMBuir8ZtG9AwCpvuED8kT/AhBTG/kUAPsA6bG108ss9wCr4EhcgND7ASFSveig8PcBlBP/RjVM+wB7rNTZyoT/AxZ71qJTiQMAat1Dd8F5BwMXReJHeW0DAFiNgORbvP8D0zQW83NU/wAwIeeOmrj7AI9agXLW1P8D9oAPi2YQ/wLX7QNyjV0DAa5ph3xZrQMCCqjKpas5AwNv7/yNlUEHAUvvJ5SWsQcCTYqD98MBBwA2V1QW/UUHAhpt74CrhQMB2DjqPHHZBwINmVPmAGkHAPuFZmF10QMDMet9q4tY/wMhVUsFgAD7A9JUT5AfHPsA=\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"C\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"D\":{\"__ndarray__\":\"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wNzTPxRsrZqmOfE/BssEcsGmAkAqyhoiRqDmPxT0AccBfgtAyLwZhZtcAkCxxlc66q8BQDwQhXst4fc/RBtDT06vAEBcpCGeY/PzP4cxqK5OowBArp44BeCI8z/03/INh4f3P9JrEG/ZQwBAzRY+U1I99D+ZPVgRfAfhPxVBZebhiOK/0KICCwNR878p22fEi28IwDwrLqFivwTA/bUK8XIFBcAI62HGImgCwKoqn3JnBfq/nI3t5BES+r+EYTkADpz7v58ReZvFpgDATIZ+8D0qDMAwJFV1kdEMwEqhj2tNRBPA1EToO14rFcDhX08hly4UwJ6lheZKexfARkPeXwrTEsAMmftQ/X8VwPQY7/aZThHAtqxFIAhkE8AHzsY66METwOkbAR1MwBXAPZ5sb+VlFcBZh5ckdl4VwLey/THfUhXAY5L1PKWtF8A+Tn6sboEYwBZ1GFRphhbA4htuxcwTF8C0+tS6o+oXwA+YUDDTlhfAI+aLE5LeF8CUTqD+hzYfwHQb5X3kNxvA6Yim0xl6IMD5v5HSXosgwJ+G0Vme5x3AbSDj9ut7HMBRnmsVSiMfwEMXmj478CDA8ojgdazdIsAy/H+6AcIiwKTlHYY4NSLAT/whmKc0J8DlOIGTKtEmwHRK9902PyXAvgrb1XcvI8ByyawqRkkiwKoibzCbLh/AboZJXXUbIsDvpMQZKLQiwGdLwijaXSHA84GKIFQJIcBbuFz4IEgiwKDMgIibbyLAgUuaoiNhIcD0nzYeqvMgwBeRjTatBR7AxSydrebfG8DAkfYinBIdwLu1bXud+xnAbJRXaf9IHMDHAxiArFUWwNWN93Lu+BfAS3cxh0XzGsBTwZBkq/QbwFJOx042AQ7AAjYJ8QHQEcB5cEeBqhEKwJtE8jm8sfe/ZD6CQxGp6L+WmdsASyvxv09CjobLSPC/VrHLSaBf1L+GdrWetEj3v4pVjQ9DhxDAL38IYoLwD8COYL0uE4wUwCJhUJDdUhDANF3lXRicFcAd5VZ56XQTwFdz/fHOJg3Adgfr7i/A+7+UBtyVipP+v1MwgoDzU/W/QDeJUOy6rj8til5iNvz3v5N3Byvv8xDAYvKqzFAtEsB8YwPdvmMRwG59e+sHDgbAhyYNwbLzCcDxBMaLOYoBwM7LxaTdJAvAMP9U5/Ar+b+5efQC2yvqvxB6Rw2Uorw/fK/eU6X1xL8gs8g3QSh7v4PEPNq51eU/AGQScUkWu7+gSfUvyOHnv0x316NFney/TjgqrHnx1r+PaDLXGFvwv6dRPkFZiwTAXnHfOWPs6L+sXHHR51nLvwIrZrEMZfG/qOencq91/r++7en2od/4v3KeS3gmiAjASokU9xUjEMDgEZ5asloVwPvX9XswEBLAR6whme5HFcDm79OFzu8awBpR5ir9GR/AQ4fpMV1iHcAgz36HpGAewB8w2Zv0nSHAv8YMsPjrI8BZfk0WwaMgwDL6pzIABB7AcEP3xQdfIsAa/bhFbwkiwEEWcEZBEBvAHHvtwIlJIMAL6EiDZ1ogwCI0Z9B2JyHAMYokabNRIsCyz9H3Ae0iwFPE46JkiiPATCnND/0XI8DP872PLbMmwD/9SKy8aSfA96NxHtXTKMA0mpAxLosrwMWGI6pUeCzAen83JouBK8ARveqZlr0swHZE3mNeYivAGWxU3qUYJ8DOHAqk7eslwDJK8t4hPCbADsP11FZcJ8D92N8e8qsowEOXJxhixyjAs0V5jETLKMDWznA92GcpwNzc/Pe6/CXAhToT1Ia4KMC7OHRQByIpwFO+Wz6rtyrA5qReuLYBLsCOlFQypysuwAZSRwyJBC3A3BcPKITBLcAQruZwUx8qwFegfIlbsSnAHoLLW5QNLcCcn9fLf3guwP10FsDmyC7ABe0FFZiwL8C4HuWRKeAwwM6d+Lz3jTDADGArG32kL8Apfx3uYt8rwChcosh6yy7A9Oebt8wrLsAYPKZKlfgswLxfR8Fc6C/AahyXl+NkMcDsSACNmAIywCs2QjwUgjHAjOtWqnMCMsAP6JOK2HcwwIAYPSrQxDDAA4R0gbldMsAzcuw/riIywNPS1BzIMzPAP8JvJviyNMD2GZpUp5E2wBLCEXgP8jbAkbjfQ0XiNsCBQLvsBMo1wHn1IMVuODXA5KVNwxOnNsBEdyt1or42wFUfeGkMQzjAuR74DEtROsCrjNQ3mIc7wOks7pfSPTvASFIIPq1bOsDOEA79Ojw6wBRCNyvVTjvABc59rsglO8AssWW5G8E8wAm86CebpzzA9eL/D8g9PsCE/Wbzo+I8wJqazgWPtzvAk+nQX1MEO8Dh32vFEIQ6wIZOYfZcnTrAzvUG/ivROsCtVBDhxNc5wBqeXKeYzznAx/6mPoEpOcC+PaDnywo6wE5QtMG3VDrA/HgNU+zaOcDINy6W5P84wOo7AURlxTfAZMQxwocyOMANvMp6BN03wH/CD6FvfTjAgcu25cKZOMD3r/Qviqw4wLZIePWK/jfA5zM59cSwN8A7phIpl8w2wPu1ESqg+jfAJXcVh12bN8BUueImUoI3wMhjZcX9tTXAo8o6y36dNMCkR/KwdQo0wDfanAk0rjLAk1CqYRcRMsD2V4oReV4ywOoU4gP5nDPAe0lFkLWAMsCI2VtGFJQ0wCDzvgJq4DXAsDXvN0vyNcDR8Xe+VU41wPF1TMdCtTTAnliMsI2+M8CE1/i5DvYzwPV/+4MFhDPAKQNs2YAnNMD1YLGySv8zwPunkGJ3zzPA4z52jnOxMsDLVEcq5m0zwGrOAz3rRTPAPXjWqamuMcAQy/esOWcywFIQc3QrLTPARqoKD1UmM8BqpGSqHRYzwOj15dREezTAw30PDX9dM8Cl1QLO6RMzwJljzuVFoDHAxLWD/+EOMcBrCfGAdaQxwGacnc1FezLAWrT7Jf//MsC95B6UkW8ywCumoIsV2zDA0GdqDiarMMDeDmT9+/QwwGmi3VOwPDHAThmLYJ/YLsBZJs+NgqsswEuLvaVtqC7Ao7DSdF5XLsArw4sQ4pQtwMJprIR/dirATtgxpNdaKcBZBDAHHxAtwEYigdKVpifAl7aqdTXqJsDmqXAesDslwP/aI/llgSTAJFM1uSYaI8ApEQ655I8kwLtwv4xC9yPAnPRTkI32HMAelFhCFfMbwBx9DZePFhnA5o8GCV11FsBTax2cgZgXwFk42KFYJxPAD7eYukzfEsAZzHUK398QwA3OAteWvhTAPebkIY6OCcCAd5F1Zu7mv4Yxx4Q9K+K/9Ghjta8F6L+IDx6FyZW8vwQyrIo+beg/ikzm2QPp6L+M4mG2iybgv3c1rg7OhfC/gnhNp0wa9r8SyfZRKFP4v+aHbOUtBgHA5+z2mNJvAMCBbDD/mD3/v/iSiJeWTQfAFdKKaxFtCMAKc0Nnc8ADwEWIj0wEUgbA2BNtILgNBsAXJGPL3ncAwOgGBAQbtQvAcNQEvl8fCMB+OPjvavcGwHgS0GiDXgnAtz9+sNFT/b/mVoPKijP7v4yRHibdLfu/PnZySMHpAsDSusVWQQEEwHFwlkSNlRHAtcPGeiY+E8BnZPrG67kWwIhuK89xGRHAeTxPUPLnD8CQmIAIV/YPwCWFU5VG2hHAailV47aPB8D3HS2Dv+MMwAxJ+JYo+Q3AFxuqgwFbE8Du4gUUnecbwBariLJTsx/Az0RVnkpDIcDV7mG4n1MgwH8RxHjy7yPAc4XNcH/IIsBLbuPSd2UnwNQSv++kUyfARigMJTneI8DAnII6HHglwJo3jj4F6yHAm2q2kviHIMCvkW0tT28bwJa86HhmqhbAYNFu0xicD8C80HOzIScYwMaFcHAP8xTAP1bEge+6GcCgqx+EtgYdwNO62easyh3AzGPSOGghHMC5c6rTpsoawDhZjo8lTB3AmvrEyxDWGsAue1uXRs8awMidl3D+xRfA+m9N17CIFsBkjj8fH8kdwG1E1yxS7h7AKopi5G3pFcB2247DbUMVwEt07IFptxrAl/SHw7osHcBBCbFT7vcTwNtrt0niDBbAqe6HdaPdFMBXVTNz/SUYwEzdf/tARhrAL3G229wNG8Ax9u+xnqkawHJqVQ11HhbA1nFbYvqcF8DUXF1QOfoPwPqL2g0tyBTA5/TVxlNHGMDLhgYyiRwYwBfcB0mx1xfAead7w2xfFMDYk+Piaj4TwPlaFAtUORLAbeQa929bFsDSnec4w54fwHtUrFo23CLARUq1JUZ1H8CSBL5vCVUlwOfTxeku6CnAgcDV+7/MK8CcsZpfXvYswIVD8vvEYi7AdFWzjh0jMMA2HYljLT4uwHmejirMjizAYP65w6rXLsDVhgVti3wvwN9g6YZ4wzHAMsugXRU3McB1EVqC4xAywMwG6jpk9zPA75W72aBvNMDz7COogug0wL/2lM9VizTApk163yPzM8BrxYeBc+k0wDb1RHOCRjTA/AS3sglBNMAqGTIxwvM0wK1nFoASIjLAhUOYZRE3MMCwJ1t0HdowwOIlX07kGjTAtH5fBNKxM8AGxdKu0XUzwO3EyFuaZTPAraGM3cppMsCbMX6GaBAzwOthaK0ygDLAWZjmdvG/MMCpgakJL18xwHGMPhTsOzPAISxxLC5CM8CmnXulU3oywDR/uy3wejHArVS9VzuSL8CRYmJNMxwwwO8y3PYETC/ASTVfu8PdLsCu1adOmeYvwB+Etg9Vwi3A69qaX7wSKsC/nXlomC8owP7kzArkSSnAVsjjiL4GKsDgAspf6tApwAzDXj/BWC7Ak0Q07rU0LcAmKiY7Zb0swB1AZrvppS7AnAT6Dgp4LMA0BMmH9V4owNQPVouhiijAkuIUs82NKMBxESzkZMgnwCQ8zo1C0SXASaihexmgI8CHhDuGH/cjwDnazkOvliLAHDDnXXibJsBOcIraApwhwITpt6Gv2iHA6kRU0342I8C+6q1V11AgwNdw9wEBtB3AW6+ZjVFsI8AduH9PM+UjwK4W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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"C\":{\"__ndarray__\":\"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prQgAAgARW62tCAAAA0Prra0IAAICbn+xrQgAAAGdE7WtCAACAMunta0IAAAD+je5rQgAAgMky72tCAAAAldfva0IAAIBgfPBrQgAAACwh8WtCAACA98Xxa0IAAADDavJrQgAAgI4P82tCAAAAWrTza0IAAIAlWfRrQgAAAPH99GtCAACAvKL1a0IAAACIR/ZrQgAAgFPs9mtCAAAAH5H3a0IAAIDqNfhrQgAAALba+GtCAACAgX/5a0IAAABNJPprQgAAgBjJ+mtCAAAA5G37a0IAAICvEvxrQgAAAHu3/GtCAACARlz9a0IAAAASAf5rQgAAgN2l/mtCAAAAqUr/a0IAAIB07/9rQgAAAECUAGxCAACACzkBbEIAAADX3QFsQgAAgKKCAmxCAAAAbicDbEIAAIA5zANsQgAAAAVxBGxCAACA0BUFbEIAAACcugVsQgAAgGdfBmxCAAAAMwQHbEIAAID+qAdsQgAAAMpNCGxCAACAlfIIbEIAAABhlwlsQgAAgCw8CmxCAAAA+OAKbEIAAIDDhQtsQgAAAI8qDGxCAACAWs8MbEIAAAAmdA1sQgAAgPEYDmxCAAAAvb0ObEIAAICIYg9sQgAAAFQHEGxCAACAH6wQbEIAAADrUBFsQgAAgLb1EWxCAAAAgpoSbEIAAIBNPxNsQgAAABnkE2xCAACA5IgUbEIAAACwLRVsQgAAgHvSFWxCAAAAR3cWbEIAAIASHBdsQgAAAN7AF2xCAACAqWUYbEIAAAB1ChlsQgAAgECvGWxCAAAADFQabEIAAIDX+BpsQgAAAKOdG2xCAACAbkIcbEIAAAA65xxsQgAAgAWMHWxCAAAA0TAebEIAAICc1R5sQgAAAGh6H2xCAACAMx8gbEIAAAD/wyBsQgAAgMpoIWxCAAAAlg0ibEIAAIBhsiJsQgAAAC1XI2xCAACA+PsjbEIAAADEoCRsQgAAgI9FJWxCAAAAW+olbEIAAIAmjyZsQgAAAPIzJ2xCAACAvdgnbEIAAACJfShsQgAAgFQiKWxCAAAAIMcpbEIAAIDraypsQgAAALcQK2xCAACAgrUrbEIAAABOWixsQgAAgBn/LGxCAAAA5aMtbEIAAICwSC5sQgAAAHztLmxCAACAR5IvbEIAAAATNzBsQgAAgN7bMGxCAAAAqoAxbEIAAIB1JTJsQgAAAEHKMmxCAACADG8zbEIAAADYEzRsQgAAgKO4NGxCAAAAb101bEIAAIA6AjZsQgAAAAanNmxCAACA0Us3bEIAAACd8DdsQgAAgGiVOGxCAAAANDo5bEIAAID/3jlsQgAAAMuDOmxCAACAlig7bEIAAABizTtsQgAAgC1yPGxCAAAA+RY9bEIAAIDEuz1sQgAAAJBgPmxCAACAWwU/bEIAAAAnqj9sQgAAgPJOQGxCAAAAvvNAbEIAAICJmEFsQgAAAFU9QmxCAACAIOJCbEIAAADshkNsQgAAgLcrRGxCAAAAg9BEbEIAAIBOdUVsQgAAABoaRmxCAACA5b5GbEIAAACxY0dsQgAAgHwISGxCAAAASK1IbEIAAIATUklsQgAAAN/2SWxCAACAqptKbEIAAAB2QEtsQgAAgEHlS2xCAAAADYpMbEIAAIDYLk1sQgAAAKTTTWxCAACAb3hObEIAAAA7HU9sQgAAgAbCT2xCAAAA0mZQbEIAAICdC1FsQgAAAGmwUWxCAACANFVSbEIAAAAA+lJsQgAAgMueU2xCAAAAl0NUbEIAAIBi6FRsQgAAAC6NVWxCAACA+TFWbEIAAADF1lZsQgAAgJB7V2xCAAAAXCBYbEIAAIAnxVhsQgAAAPNpWWxCAACAvg5abEIAAACKs1psQgAAgFVYW2xCAAAAIf1bbEIAAIDsoVxsQgAAALhGXWxCAACAg+tdbEIAAABPkF5sQgAAgBo1X2xCAAAA5tlfbEIAAICxfmBsQgAAAH0jYWxCAACASMhhbEIAAAAUbWJsQgAAgN8RY2xCAAAAq7ZjbEIAAIB2W2RsQgAAAEIAZWxCAACADaVlbEIAAADZSWZsQgAAgKTuZmxCAAAAcJNnbEIAAIA7OGhsQgAAAAfdaGxCAACA0oFpbEIAAACeJmpsQgAAgGnLamxCAAAANXBrbEIAAIAAFWxsQgAAAMy5bGxCAACAl15tbEIAAABjA25sQgAAgC6obmxCAAAA+kxvbEIAAIDF8W9sQgAAAJGWcGxCAACAXDtxbEIAAAAo4HFsQgAAgPOEcmxCAAAAvylzbEIAAICKznNsQgAAAFZzdGxCAACAIRh1bEIAAADtvHVsQgAAgLhhdmxCAAAAhAZ3bEIAAIBPq3dsQgAAABtQeGxCAACA5vR4bEIAAACymXlsQgAAgH0+emxCAAAASeN6bEIAAIAUiHtsQgAAAOAsfGxCAACAq9F8bEIAAAB3dn1sQgAAgEIbfmxCAAAADsB+bEIAAIDZZH9sQgAAAKUJgGxCAACAcK6AbEIAAAA8U4FsQgAAgAf4gWxCAAAA05yCbEIAAICeQYNsQgAAAGrmg2xCAACANYuEbEIAAAABMIVsQgAAgMzUhWxCAAAAmHmGbEIAAIBjHodsQgAAAC/Dh2xCAACA+meIbEIAAADGDIlsQgAAgJGxiWxCAAAAXVaKbEIAAIAo+4psQgAAAPSfi2xCAACAv0SMbEIAAACL6YxsQgAAgFaOjWxCAAAAIjOObEIAAIDt145sQgAAALl8j2xCAACAhCGQbEIAAABQxpBsQgAAgBtrkWxCAAAA5w+SbEIAAICytJJsQgAAAH5Zk2xCAACASf6TbEIAAAAVo5RsQgAAgOBHlWxCAAAArOyVbEIAAIB3kZZsQgAAAEM2l2xCAACADtuXbEIAAADaf5hsQgAAgKUkmWxCAAAAccmZbEIAAIA8bppsQgAAAAgTm2xCAACA07ebbEIAAACfXJxsQgAAgGoBnWxCAAAANqadbEIAAIABS55sQgAAAM3vnmxCAACAmJSfbEIAAABkOaBsQgAAgC/eoGxCAAAA+4KhbEIAAIDGJ6JsQgAAAJLMomxCAACAXXGjbEIAAAApFqRsQgAAgPS6pGxCAAAAwF+lbEIAAICLBKZsQgAAAFeppmxCAACAIk6nbEIAAADu8qdsQgAAgLmXqGxCAAAAhTypbEIAAIBQ4alsQgAAAByGqmxCAACA5yqrbEIAAACzz6tsQgAAgH50rGxCAAAAShmtbEIAAIAVvq1sQgAAAOFirmxCAACArAevbEIAAAB4rK9sQgAAgENRsGxCAAAAD/awbEIAAIDamrFsQgAAAKY/smxCAACAceSybEIAAAA9ibNsQgAAgAgutGxCAAAA1NK0bEIAAICfd7VsQgAAAGsctmxCAACANsG2bEIAAAACZrdsQgAAgM0KuGxCAAAAma+4bEIAAIBkVLlsQgAAADD5uWxCAACA+526bEIAAADHQrtsQgAAgJLnu2xCAAAAXoy8bEIAAIApMb1sQgAAAPXVvWxCAACAwHq+bEIAAACMH79sQgAAgFfEv2xCAAAAI2nAbEIAAIDuDcFsQgAAALqywWxCAACAhVfCbEIAAABR/MJsQgAAgByhw2xCAAAA6EXEbEIAAICz6sRsQgAAAH+PxWxCAACASjTGbEIAAAAW2cZsQgAAgOF9x2xCAAAArSLIbEIAAIB4x8hsQgAAAERsyWxCAACADxHKbEIAAADbtcpsQgAAgKZay2xCAAAAcv/LbEIAAIA9pMxsQgAAAAlJzWxCAACA1O3NbEIAAACgks5sQgAAgGs3z2xCAAAAN9zPbEIAAIACgdBsQgAAAM4l0WxCAACAmcrRbEIAAABlb9JsQgAAgDAU02xCAAAA/LjTbEIAAIDHXdRsQgAAAJMC1WxCAACAXqfVbEIAAAAqTNZsQgAAgPXw1mxCAAAAwZXXbEIAAICMOthsQgAAAFjf2GxCAACAI4TZbEIAAADvKNpsQgAAgLrN2mxCAAAAhnLbbEIAAIBRF9xsQgAAAB283GxCAACA6GDdbEIAAAC0Bd5sQgAAgH+q3mxCAAAAS0/fbEIAAIAW9N9sQgAAAOKY4GxCAACArT3hbEIAAAB54uFsQgAAgESH4mxCAAAAECzjbEIAAIDb0ONsQgAAAKd15GxCAACAchrlbEIAAAA+v+VsQgAAgAlk5mxCAAAA1QjnbEIAAICgredsQgAAAGxS6GxCAACAN/fobEIAAAADnOlsQgAAgM5A6mxCAAAAmuXqbEIAAIBliutsQgAAADEv7GxCAACA/NPsbEIAAADIeO1sQgAAgJMd7mxCAAAAX8LubEIAAIAqZ+9sQgAAAPYL8GxCAACAwbDwbEIAAACNVfFsQgAAgFj68WxCAAAAJJ/ybEIAAIDvQ/NsQgAAALvo82xCAACAho30bEIAAABSMvVsQgAAgB3X9WxCAAAA6Xv2bEIAAIC0IPdsQgAAAIDF92xCAACAS2r4bEIAAAAXD/lsQgAAgOKz+WxCAAAArlj6bEIAAIB5/fpsQgAAAEWi+2xCAACAEEf8bEIAAADc6/xsQgAAgKeQ/WxCAAAAczX+bEIAAIA+2v5sQgAAAAp//2xCAACA1SMAbUIAAAChyABtQgAAgGxtAW1CAAAAOBICbUIAAIADtwJtQgAAAM9bA21CAACAmgAEbUIAAABmpQRtQgAAgDFKBW1CAAAA/e4FbUIAAIDIkwZtQgAAAJQ4B21CAACAX90HbUIAAAArgghtQgAAgPYmCW1CAAAAwssJbUIAAICNcAptQgAAAFkVC21CAACAJLoLbUIAAADwXgxtQgAAgLsDDW1CAAAAh6gNbUIAAIBSTQ5tQgAAAB7yDm1CAACA6ZYPbUIAAAC1OxBtQgAAgIDgEG1CAAAATIURbUIAAIAXKhJtQgAAAOPOEm1CAACArnMTbUIAAAB6GBRtQgAAgEW9FG1CAAAAEWIVbUIAAIDcBhZtQgAAAKirFm1CAACAc1AXbUIAAAA/9RdtQgAAgA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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"B\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"C\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"D\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"__x__values\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"B\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"C\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"D\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"C\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"D\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"__x__values\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"__x__values_original\":{\"__ndarray__\":\"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ZO4wt1kIUAGoXdD1TodQMZyVOo//RlArBgLO8l8FUDksJHEiPETQCLyRtCxiRpASgfLrlk/GEAxyHmXfeQgQPemJLCEWB5AUthY1a49FkBhsFQvWn0dQIRh+e7gFiNAK5TaN8ZJIEBN0DW7emsbQCjajJtwYB1A+uU+TQA2EkAt5uNx0YARQOn3j39pWRFAN22gO3yQEUCSD6babLoPQBCXQp+mLxVAq75JnBR3G0AKlSp/insYQKY9AH5+0hlA+/Fwv4MCGEB8hkHkxG8gQL8XSMrdDCNAza8NAVBvIUDv1W2tEi4jQEsDXnxMhiFAcuD9V6uKHUDKFcQzjY8dQJ3KiYww/SFAmWxdpCepJUA7j2V7OAgmQOXM32MaSylA9DkrnmwKK0AB3PHek1wvQPaTb3PlvixALcXT7nsTLUBPwzXnScYvQEy6+xHUqy5ABObIdknGLUBW9S7tuaAsQFCBJjrfVClAkX4XuHGwKEA6JFWWzJ4mQJjCZ3mSzihAQn0n4ZCFKEC3VtN5LkwpQOTW9Vjs9SlAtClXK8KwKEACs64XEsUsQJLTHXtvFS9AODWTQ1zhLkBbFrMh+AAuQAY/IZFRFi1ATWljst77KUDAnfnSD3wrQOnYKERLaSlAPRP3vBvYKUDhSwECEYYpQPyQFiIk6idAsQj21SjIKUAjZyMcX5ooQDQ2lQB9rSZAzc8N0pR5JkAvARzrsD0nQJD9eGnnESZAGKM0ri1eJ0DBA/gWx5smQPNA6v//xihAYoxUFkGGJ0AgZF11kQ0rQGAD7sYxpytAnSyqcyx6L0AVt5AmOXUuQANP7GUwMTBAvCIrS2SjL0DZRvTWzE4tQMzoo82qKStAWDuOL4CQKkAOsa1RpgkoQKHGVWg3xidAVhwbRUTwJkAfzV/U/WskQPuUlRXheSNAAdNuvBGZJED2W4Kos5MlQGa0uLJehCFAhpSOywWFIkB9hsz0e4MlQFzGuX1odyhA2/o8L9VnJUDqfCozW5giQMrZeJyj+R5AV55+tu/RIECk/+KDZEIeQDIiAZ93UhxAN50lkv7FFkAX+Qk9v+kOQIeGXk8Z1wdApgEbJyPSEUC0LHFCMr8GQBgj93c5FQRAeqH21YRgCED/fzJMAaYIQFc8Xb0SZw1AEL10igIwAUBuIGJFwcwAQMEzKhzXaf8/GHtfV0n6/j/GnuPRM3/8P+cciTn2GwJAuJQrDv8T9j+AgM9TcSYIQDDWLm0SSgZAatbFF57jBkAkJFEw9XsEQCCTaOSKHAlAzsTpZfa6/z9EsBBTgjgHQNIje47scRRAfMoS6fIbEEDESk+cuewLQIZoFSIuyRFAoMFnsWqgA0AZVBbXG/0CQBPC8dUANgFAvcuSkhVMAEC6Z3mzyBD8P0dZ+DHnewNAQhAwhNGMCUAXcC4y/44QQLgdDysdIQ5AIX0Y12bTBkDZtwmbNrQIQKuK0AtUuQFAb3Yxa5/gAECNuGtwnkb1P8Yw33YI2wBAGiZ0mP+C/T9IcY/ViLEOQNJCQKT7rwBAmGB/8HNO+D8AR4Ga2VKav2JJOEV/08e/KLr6a7gd4j9hH62CxrPiPwzQVzmlmMi/9jhz3Ogv1z++SLHeOSD1P0gorT2hv88/jjki7WCv6D9SjnUfdtfqP3TzOAN/zQHAZMTXAxnSCMBUuFChE64BwOJKMfeaRAPAgOWe7ZLC1L+kFLCrxoravwcuyiGykv+/gLruy2hZ9b9GqZv8QU0AwFGd17D6awDAlz3fCgOnBcAabeZxDXgKwGl3GtX/1QDAMnqVZUwD779WJgcNE2Xzv1GuU7jEQAjATmqtOqVlAMCCVk5Jzyr1v8aQQrwp3QLAbFi6iIhEDcBRwpsInHkNwOiLQz4x1g3Av3bWS7ohEMBEr1iye7sPwFrEJaEBrw7AH93eYYG4BcCcZtdrGW4DwPxsH82IuwrAnksniemHBMC1kVafr5kPwLpjA20cmg3A9fqgPGQSC8D4FezBg1kAwEsW/C6zjQLAL7jyyhIyAMAA3pgF3XDxv27RFMDaEOU/ihKlO/EH5D9wzRsG7oTgv/gpZei5gQLAgWMo2emL+b+a5usJt4AFwO8iXu23IQvAMUNupjTo/7+KivUVhr/zv5b67RTcmuy/l64rcVFcBcCZRHTSSPsKwDlYcGHT7hTAOZNX8lPkEcDk7iiW1JoawCW5lCbrmR7ALGLgr0d4IMDFWZhQUmkgwEzDnmLliSHAx1ZAreZQHsC81XwKgEAgwAjWocxC3R/AhKC+SkuHG8C8ocKXJJsewGjaCssGchrAOnfZA9s/GMB417RB5eYYwKgis0r4xR3AXtbYynRMHMBXpVVYKBQdwNZJ+P5PtyLA1Cl8MpTFIcClX3kHoeofwBrzBeBuwh3ARo14UCJYHcDme2iRxeQawGrhtUxMOx7ARJChfGa4HMCPygWrA4sdwBuQE86qThvAUd6l/NLWG8Dwp/wK2HIVwGqjp7WjhR3AWDQl4oZgGcAlWTnvtfkbwDoj0rfImxrAFgAxW5sEIsB+A9AOgoEhwItVWd99WyHAysUChKAQHsAZVmRHrOgfwH7H5FuTeyDADeyVyR0TH8AkJSfqw2kewDjuOK+qHxrADxEW2zTXGMCz8aBTGQMcwAow0iyPDBrA1kcleUt3GsCMxPdkhoAWwM+Sp70lFA/AzFNpa81hAsD0LIV8rK4OwBMOP2MedwzAC62QrNuxDsCLExyDEk0AwBbuaNf2oAjA6qJ1RBxWD8CAX72/ovIEwLFvr/F4JQHA3ld4XXHs+7/4rdT3WUfzv06SWnTmiPq/MemZl9zG6L9+0yeNviHTvzS+xaYI/OG/Wvxfxc5v478m2x/XwNzTPxRsrZqmOfE/BssEcsGmAkAqyhoiRqDmPxT0AccBfgtAyLwZhZtcAkCxxlc66q8BQDwQhXst4fc/RBtDT06vAEBcpCGeY/PzP4cxqK5OowBArp44BeCI8z/03/INh4f3P9JrEG/ZQwBAzRY+U1I99D+ZPVgRfAfhPxVBZebhiOK/0KICCwNR878p22fEi28IwDwrLqFivwTA/bUK8XIFBcAI62HGImgCwKoqn3JnBfq/nI3t5BES+r+EYTkADpz7v58ReZvFpgDATIZ+8D0qDMAwJFV1kdEMwEqhj2tNRBPA1EToO14rFcDhX08hly4UwJ6lheZKexfARkPeXwrTEsAMmftQ/X8VwPQY7/aZThHAtqxFIAhkE8AHzsY66METwOkbAR1MwBXAPZ5sb+VlFcBZh5ckdl4VwLey/THfUhXAY5L1PKWtF8A+Tn6sboEYwBZ1GFRphhbA4htuxcwTF8C0+tS6o+oXwA+YUDDTlhfAI+aLE5LeF8CUTqD+hzYfwHQb5X3kNxvA6Yim0xl6IMD5v5HSXosgwJ+G0Vme5x3AbSDj9ut7HMBRnmsVSiMfwEMXmj478CDA8ojgdazdIsAy/H+6AcIiwKTlHYY4NSLAT/whmKc0J8DlOIGTKtEmwHRK9902PyXAvgrb1XcvI8ByyawqRkkiwKoibzCbLh/AboZJXXUbIsDvpMQZKLQiwGdLwijaXSHA84GKIFQJIcBbuFz4IEgiwKDMgIibbyLAgUuaoiNhIcD0nzYeqvMgwBeRjTatBR7AxSydrebfG8DAkfYinBIdwLu1bXud+xnAbJRXaf9IHMDHAxiArFUWwNWN93Lu+BfAS3cxh0XzGsBTwZBkq/QbwFJOx042AQ7AAjYJ8QHQEcB5cEeBqhEKwJtE8jm8sfe/ZD6CQxGp6L+WmdsASyvxv09CjobLSPC/VrHLSaBf1L+GdrWetEj3v4pVjQ9DhxDAL38IYoLwD8COYL0uE4wUwCJhUJDdUhDANF3lXRicFcAd5VZ56XQTwFdz/fHOJg3Adgfr7i/A+7+UBtyVipP+v1MwgoDzU/W/QDeJUOy6rj8til5iNvz3v5N3Byvv8xDAYvKqzFAtEsB8YwPdvmMRwG59e+sHDgbAhyYNwbLzCcDxBMaLOYoBwM7LxaTdJAvAMP9U5/Ar+b+5efQC2yvqvxB6Rw2Uorw/fK/eU6X1xL8gs8g3QSh7v4PEPNq51eU/AGQScUkWu7+gSfUvyOHnv0x316NFney/TjgqrHnx1r+PaDLXGFvwv6dRPkFZiwTAXnHfOWPs6L+sXHHR51nLvwIrZrEMZfG/qOencq91/r++7en2od/4v3KeS3gmiAjASokU9xUjEMDgEZ5asloVwPvX9XswEBLAR6whme5HFcDm79OFzu8awBpR5ir9GR/AQ4fpMV1iHcAgz36HpGAewB8w2Zv0nSHAv8YMsPjrI8BZfk0WwaMgwDL6pzIABB7AcEP3xQdfIsAa/bhFbwkiwEEWcEZBEBvAHHvtwIlJIMAL6EiDZ1ogwCI0Z9B2JyHAMYokabNRIsCyz9H3Ae0iwFPE46JkiiPATCnND/0XI8DP872PLbMmwD/9SKy8aSfA96NxHtXTKMA0mpAxLosrwMWGI6pUeCzAen83JouBK8ARveqZlr0swHZE3mNeYivAGWxU3qUYJ8DOHAqk7eslwDJK8t4hPCbADsP11FZcJ8D92N8e8qsowEOXJxhixyjAs0V5jETLKMDWznA92GcpwNzc/Pe6/CXAhToT1Ia4KMC7OHRQByIpwFO+Wz6rtyrA5qReuLYBLsCOlFQypysuwAZSRwyJBC3A3BcPKITBLcAQruZwUx8qwFegfIlbsSnAHoLLW5QNLcCcn9fLf3guwP10FsDmyC7ABe0FFZiwL8C4HuWRKeAwwM6d+Lz3jTDADGArG32kL8Apfx3uYt8rwChcosh6yy7A9Oebt8wrLsAYPKZKlfgswLxfR8Fc6C/AahyXl+NkMcDsSACNmAIywCs2QjwUgjHAjOtWqnMCMsAP6JOK2HcwwIAYPSrQxDDAA4R0gbldMsAzcuw/riIywNPS1BzIMzPAP8JvJviyNMD2GZpUp5E2wBLCEXgP8jbAkbjfQ0XiNsCBQLvsBMo1wHn1IMVuODXA5KVNwxOnNsBEdyt1or42wFUfeGkMQzjAuR74DEtROsCrjNQ3mIc7wOks7pfSPTvASFIIPq1bOsDOEA79Ojw6wBRCNyvVTjvABc59rsglO8AssWW5G8E8wAm86CebpzzA9eL/D8g9PsCE/Wbzo+I8wJqazgWPtzvAk+nQX1MEO8Dh32vFEIQ6wIZOYfZcnTrAzvUG/ivROsCtVBDhxNc5wBqeXKeYzznAx/6mPoEpOcC+PaDnywo6wE5QtMG3VDrA/HgNU+zaOcDINy6W5P84wOo7AURlxTfAZMQxwocyOMANvMp6BN03wH/CD6FvfTjAgcu25cKZOMD3r/Qviqw4wLZIePWK/jfA5zM59cSwN8A7phIpl8w2wPu1ESqg+jfAJXcVh12bN8BUueImUoI3wMhjZcX9tTXAo8o6y36dNMCkR/KwdQo0wDfanAk0rjLAk1CqYRcRMsD2V4oReV4ywOoU4gP5nDPAe0lFkLWAMsCI2VtGFJQ0wCDzvgJq4DXAsDXvN0vyNcDR8Xe+VU41wPF1TMdCtTTAnliMsI2+M8CE1/i5DvYzwPV/+4MFhDPAKQNs2YAnNMD1YLGySv8zwPunkGJ3zzPA4z52jnOxMsDLVEcq5m0zwGrOAz3rRTPAPXjWqamuMcAQy/esOWcywFIQc3QrLTPARqoKD1UmM8BqpGSqHRYzwOj15dREezTAw30PDX9dM8Cl1QLO6RMzwJljzuVFoDHAxLWD/+EOMcBrCfGAdaQxwGacnc1FezLAWrT7Jf//MsC95B6UkW8ywCumoIsV2zDA0GdqDiarMMDeDmT9+/QwwGmi3VOwPDHAThmLYJ/YLsBZJs+NgqsswEuLvaVtqC7Ao7DSdF5XLsArw4sQ4pQtwMJprIR/dirATtgxpNdaKcBZBDAHHxAtwEYigdKVpifAl7aqdTXqJsDmqXAesDslwP/aI/llgSTAJFM1uSYaI8ApEQ655I8kwLtwv4xC9yPAnPRTkI32HMAelFhCFfMbwBx9DZePFhnA5o8GCV11FsBTax2cgZgXwFk42KFYJxPAD7eYukzfEsAZzHUK398QwA3OAteWvhTAPebkIY6OCcCAd5F1Zu7mv4Yxx4Q9K+K/9Ghjta8F6L+IDx6FyZW8vwQyrIo+beg/ikzm2QPp6L+M4mG2iybgv3c1rg7OhfC/gnhNp0wa9r8SyfZRKFP4v+aHbOUtBgHA5+z2mNJvAMCBbDD/mD3/v/iSiJeWTQfAFdKKaxFtCMAKc0Nnc8ADwEWIj0wEUgbA2BNtILgNBsAXJGPL3ncAwOgGBAQbtQvAcNQEvl8fCMB+OPjvavcGwHgS0GiDXgnAtz9+sNFT/b/mVoPKijP7v4yRHibdLfu/PnZySMHpAsDSusVWQQEEwHFwlkSNlRHAtcPGeiY+E8BnZPrG67kWwIhuK89xGRHAeTxPUPLnD8CQmIAIV/YPwCWFU5VG2hHAailV47aPB8D3HS2Dv+MMwAxJ+JYo+Q3AFxuqgwFbE8Du4gUUnecbwBariLJTsx/Az0RVnkpDIcDV7mG4n1MgwH8RxHjy7yPAc4XNcH/IIsBLbuPSd2UnwNQSv++kUyfARigMJTneI8DAnII6HHglwJo3jj4F6yHAm2q2kviHIMCvkW0tT28bwJa86HhmqhbAYNFu0xicD8C80HOzIScYwMaFcHAP8xTAP1bEge+6GcCgqx+EtgYdwNO62easyh3AzGPSOGghHMC5c6rTpsoawDhZjo8lTB3AmvrEyxDWGsAue1uXRs8awMidl3D+xRfA+m9N17CIFsBkjj8fH8kdwG1E1yxS7h7AKopi5G3pFcB2247DbUMVwEt07IFptxrAl/SHw7osHcBBCbFT7vcTwNtrt0niDBbAqe6HdaPdFMBXVTNz/SUYwEzdf/tARhrAL3G229wNG8Ax9u+xnqkawHJqVQ11HhbA1nFbYvqcF8DUXF1QOfoPwPqL2g0tyBTA5/TVxlNHGMDLhgYyiRwYwBfcB0mx1xfAead7w2xfFMDYk+Piaj4TwPlaFAtUORLAbeQa929bFsDSnec4w54fwHtUrFo23CLARUq1JUZ1H8CSBL5vCVUlwOfTxeku6CnAgcDV+7/MK8CcsZpfXvYswIVD8vvEYi7AdFWzjh0jMMA2HYljLT4uwHmejirMjizAYP65w6rXLsDVhgVti3wvwN9g6YZ4wzHAMsugXRU3McB1EVqC4xAywMwG6jpk9zPA75W72aBvNMDz7COogug0wL/2lM9VizTApk163yPzM8BrxYeBc+k0wDb1RHOCRjTA/AS3sglBNMAqGTIxwvM0wK1nFoASIjLAhUOYZRE3MMCwJ1t0HdowwOIlX07kGjTAtH5fBNKxM8AGxdKu0XUzwO3EyFuaZTPAraGM3cppMsCbMX6GaBAzwOthaK0ygDLAWZjmdvG/MMCpgakJL18xwHGMPhTsOzPAISxxLC5CM8CmnXulU3oywDR/uy3wejHArVS9VzuSL8CRYmJNMxwwwO8y3PYETC/ASTVfu8PdLsCu1adOmeYvwB+Etg9Vwi3A69qaX7wSKsC/nXlomC8owP7kzArkSSnAVsjjiL4GKsDgAspf6tApwAzDXj/BWC7Ak0Q07rU0LcAmKiY7Zb0swB1AZrvppS7AnAT6Dgp4LMA0BMmH9V4owNQPVouhiijAkuIUs82NKMBxESzkZMgnwCQ8zo1C0SXASaihexmgI8CHhDuGH/cjwDnazkOvliLAHDDnXXibJsBOcIraApwhwITpt6Gv2iHA6kRU0342I8C+6q1V11AgwNdw9wEBtB3AW6+ZjVFsI8AduH9PM+UjwK4WXa9EviDAWK1Sbh+DHcBzmhqWBv8ewDw+FzAlBB7AuxtlfGy7HMClOUIZcqEbwPGwp0U1yxzAnh5CLOr6G8DT9JI+DUMUwLdKL8m/sxXAjiIRZuqSE8CVTNzsRqYQwBKO1zHO7gLAXtFj0msE/r95V9LLrBoCwOxv4fxycgPA5KjZC5/mDcDdb9Vy9CIMwJR7PGfaUA/A4WLqzkZnC8DazlPHMV0OwJ+imdMwzxPAasj1hwI/E8AgvOgd0+kUwNTHLaK6HQnAUCi8l3faEcD5DD/cdoIJwLG8X9hOKQPAQW+IZsyC9b/XPaDgvgb0vwkXujdUnPe/azKMyOBrBMDj/0J/NVcJwGzB6XhIMBLAgZwzL9YgDMBXoGlJsEkQwD3eu6Kk8hDAx0b9rX/xDcA94cP7Q94SwIZJp9ja3xPAemT8YZBWD8DSgGSfRssAwGZFRFY6ZwXABBbku3dpBMATFhWi2pEEwAi+jq0QShDALzX3cIq4EsDmbCYlsSQbwC4mzcwEvhnAwdY50FZhHsCBiU/g0agbwKHxFLwigx7AjacWU/b4HcD/zm+PZlEdwJMmM/EGzB/Ahi9RMp9WJcDzfk1mNSgkwOE8DoejTiTAhZR1t0DlJMCzVXi/9mUjwMWs0jF+cyDAMsaFJBfhIMALr+7U5QUdwL6x0rwcpB7A1M7wWXRwHsBba/hpR3EawMS0SZFl9hfAzCxCgxRKFcBDW7sObakXwCSqPi75LxfAdS2iXWFIFsD5RoXayFkWwDFp8vcuvBPAIxN/UwREEcAJ9yW2NSsUwG0DK1hAnRbAxZljXO8SFsBi2Wey2QIXwMzv0qgNNRzAQBclF6jgG8BITLBMK5wawF2PszZqlBvAhdM/MpEwIMDAZ9EY+FMYwPRPDNgrVRvAxDOTl4geFcDB5F05UZsVwGK6J+n/ChTAe++LS5dQGsBADeyfdkMUwDwR1yEnARbAwKRrgC6uH8C/mA6kLzMewPIn5vCWjhfAnXihlKmxG8AeJ7nmobUWwJM3oKXMFB3AzXfE0Kb+FsBMIzkTOhoTwCA/DqbpDQ/Aty6CNn2FCsA=\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"B\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"C\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"B\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]}},\"selected\":{\"id\":\"1123\"},\"selection_policy\":{\"id\":\"1124\"}},\"id\":\"1095\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"text\":\"Drag the box to change the range above.\"},\"id\":\"1037\",\"type\":\"Title\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#ff7f0e\",\"line_width\":2,\"x\":{\"field\":\"__x__values\"},\"y\":{\"field\":\"B\"}},\"id\":\"1098\",\"type\":\"Line\"},{\"attributes\":{\"data_source\":{\"id\":\"1095\"},\"glyph\":{\"id\":\"1097\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1098\"},\"view\":{\"id\":\"1100\"}},\"id\":\"1099\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"end\":1032998400000.0,\"start\":1011484800000.0},\"id\":\"1051\",\"type\":\"Range1d\"},{\"attributes\":{\"source\":{\"id\":\"1095\"}},\"id\":\"1100\",\"type\":\"CDSView\"},{\"attributes\":{\"data_source\":{\"id\":\"1089\"},\"glyph\":{\"id\":\"1091\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1092\"},\"view\":{\"id\":\"1094\"}},\"id\":\"1093\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"overlay\":{\"id\":\"1053\"},\"x_range\":{\"id\":\"1051\"},\"y_range\":null},\"id\":\"1052\",\"type\":\"RangeTool\"},{\"attributes\":{},\"id\":\"1123\",\"type\":\"Selection\"},{\"attributes\":{\"data_source\":{\"id\":\"1128\"},\"glyph\":{\"id\":\"1130\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1131\"},\"view\":{\"id\":\"1133\"}},\"id\":\"1132\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"line_color\":\"#ff7f0e\",\"x\":{\"field\":\"__x__values\"},\"y\":{\"field\":\"B\"}},\"id\":\"1130\",\"type\":\"Line\"},{\"attributes\":{\"label\":{\"value\":\" B\"},\"renderers\":[{\"id\":\"1099\"}]},\"id\":\"1125\",\"type\":\"LegendItem\"}],\"root_ids\":[\"1220\"]},\"title\":\"Bokeh Application\",\"version\":\"2.3.1\"}};\n", - " var render_items = [{\"docid\":\"5d6f4c51-da20-48f8-8c5a-e79a6bf18467\",\"root_ids\":[\"1220\"],\"roots\":{\"1220\":\"d32b0690-0ffa-4f06-9755-f7d2507b52a5\"}}];\n", + " var docs_json = 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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"B\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"C\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"D\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"B\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"C\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"D\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"__x__values\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"__x__values_original\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"B\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"C\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"D\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"__x__values\":{\"__ndarray__\":\"AACA9VmNa0IAAADB/o1rQgAAgIyjjmtCAAAAWEiPa0IAAIAj7Y9rQgAAAO+RkGtCAACAujaRa0IAAACG25FrQgAAgFGAkmtCAAAAHSWTa0IAAIDoyZNrQgAAALRulGtCAACAfxOVa0IAAABLuJVrQgAAgBZdlmtCAAAA4gGXa0IAAICtppdrQgAAAHlLmGtCAACARPCYa0IAAAAQlZlrQgAAgNs5mmtCAAAAp96aa0IAAIByg5trQgAAAD4onGtCAACACc2ca0IAAADVcZ1rQgAAgKAWnmtCAAAAbLuea0IAAIA3YJ9rQgAAAAMFoGtCAACAzqmga0IAAACaTqFrQgAAgGXzoWtCAAAAMZiia0IAAID8PKNrQgAAAMjho2tCAACAk4aka0IAAABfK6VrQgAAgCrQpWtCAAAA9nSma0IAAIDBGadrQgAAAI2+p2tCAACAWGOoa0IAAAAkCKlrQgAAgO+sqWtCAAAAu1Gqa0IAAICG9qprQgAAAFKbq2tCAACAHUCsa0IAAADp5KxrQgAAgLSJrWtCAAAAgC6ua0IAAIBL065rQgAAABd4r2tCAACA4hywa0IAAACuwbBrQgAAgHlmsWtCAAAARQuya0IAAIAQsLJrQgAAANxUs2tCAACAp/mza0IAAABznrRrQgAAgD5DtWtCAAAACui1a0IAAIDVjLZrQgAAAKExt2tCAACAbNa3a0IAAAA4e7hrQgAAgAMguWtCAAAAz8S5a0IAAICaabprQgAAAGYOu2tCAACAMbO7a0IAAAD9V7xrQgAAgMj8vGtCAAAAlKG9a0IAAIBfRr5rQgAAACvrvmtCAACA9o+/a0IAAADCNMBrQgAAgI3ZwGtCAAAAWX7Ba0IAAIAkI8JrQgAAAPDHwmtCAACAu2zDa0IAAACHEcRrQgAAgFK2xGtCAAAAHlvFa0IAAIDp/8VrQgAAALWkxmtCAACAgEnHa0IAAABM7sdrQgAAgBeTyGtCAAAA4zfJa0IAAICu3MlrQgAAAHqBymtCAACARSbLa0IAAAARy8trQgAAgNxvzGtCAAAAqBTNa0IAAIBzuc1rQgAAAD9ezmtCAACACgPPa0IAAADWp89rQgAAgKFM0GtCAAAAbfHQa0IAAIA4ltFrQgAAAAQ70mtCAACAz9/Sa0IAAACbhNNrQgAAgGYp1GtCAAAAMs7Ua0IAAID9ctVrQgAAAMkX1mtCAACAlLzWa0IAAABgYddrQgAAgCsG2GtCAAAA96rYa0IAAIDCT9lrQgAAAI702WtCAACAWZnaa0IAAAAlPttrQgAAgPDi22tCAAAAvIfca0IAAICHLN1rQgAAAFPR3WtCAACAHnbea0IAAADqGt9rQgAAgLW/32tCAAAAgWTga0IAAIBMCeFrQgAAABiu4WtCAACA41Lia0IAAACv9+JrQgAAgHqc42tCAAAARkHka0IAAIAR5uRrQgAAAN2K5WtCAACAqC/ma0IAAAB01OZrQgAAgD9552tCAAAACx7oa0IAAIDWwuhrQgAAAKJn6WtCAACAbQzqa0IAAAA5seprQgAAgARW62tCAAAA0Prra0IAAICbn+xrQgAAAGdE7WtCAACAMunta0IAAAD+je5rQgAAgMky72tCAAAAldfva0IAAIBgfPBrQgAAACwh8WtCAACA98Xxa0IAAADDavJrQgAAgI4P82tCAAAAWrTza0IAAIAlWfRrQgAAAPH99GtCAACAvKL1a0IA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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"C\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"D\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"__x__values\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"B\":{\"__ndarray__\":\"1XzoBcd1A8C4bq4nc24KwGIHt2l7oPy/WFEf4w8S5b/yxsZpiE4BwJ6mqMtPegXAtwN6HmQd9L/My3nvNoT8vxHHGJoYYwPA+YlDepoZB8AIJTEZKkgCwBacMH6Fpw7Aoq+LXrHoEsAzf74kwkMVwIb3HbKpZw3ATPSN2NDoC8BjajeHUdYJwFKJteJdVxDAZBrwVg1z+79oHX0+5A/jvxivVDFVtNu/ju5Q2p616r9BuMNsisgEwHdxpwRwNAPAirrqzAj9AcDcAZ5pZMTQv1N9jIjqW96/+GgGVz8E5T+yEzQc+NPcPzkgXDhU4eg/NkEON5u4/j+RbK+m08T6PzJ4BdTxnvg/QmZiotNe+T9TBGETsTf8P/ncS4FpIvo/ryGw+4eIAUCfxodnwqUAQE6PoRmVvw5AVccYVTeKD0AavJaRU7MJQEtqhmEFqf0/fRHYCgBwCUDCEkYmPuURQI/uahMqMQxAKYttQvRBCkCZMr6JB9QMQCBNkv+P/QRAGOqMCuqc/j9gX+4dYbfdPxCydBEUvPE/NyOn/uUIAkCdnLNsirsQQP6eNh5xrgxAHhPf2jT8B0Cu6MMq6xIPQFxSZ6571BFAj9Fqq85/HUAr5wclkNEdQHrefnoKkBtAXLqq3zWmGEAG5Q/KdLgbQFhswEqFzxhAF9W3ITZ/FkBSttbFCS4dQOv3IOfz7xxAwH0lF1rEG0CoYm3MGKUcQIxxmJS6DB1A1HqmqnbWIEC0u27L1KcgQIknLd9ALCJAANmh6LArJEA+JauXx2IkQB23m9DEAyVAoBZRSah2KECBWn1VPYgnQJ4UZyOQ9yhAX8d+3MZzKECYoK8jmxsqQF1F4To1fCdABJeWtcBOJkA/JziTTHQlQON3OruGMiRAk9VXmTQNJEA5Kk1AfBEkQNoqZBGzuCFA5i6nSlaVJED/6m0KIVolQLOnVT4MNCZABbhh2CG5JUA+TgPY7Y0nQCb4h3msNypAICzfj2cgJ0A0n6B3jf8lQD6fXLWMZSRAjeSauHIZI0CVV33AxsAjQCCuf9t+Gh1A9BYit5QEIEC2erd0PHciQOsJyWXuoSJAoocfxNdhIkAujJI73kckQH/7LPMcISlAdBbfBhMTKEAwSkJZabcoQN+k6ydUYChAzZI9ObjaKEA+6jQ4uNwpQHFZFhnkgipAlp8ct1jRLkDsTtBMFPsvQG17UXPDmi9A29QXRKyaLEC/CAZFrsYtQJUV8JSRKzBA/LQr7S0ZK0CwLTy+O70tQOlzTWW2HC9AkKR5bsJALkBtRsrHmJkrQIPyoW9jkSVAUItJaSFFJUD/XR9asNkkQPPQIn6+OSRAWsVFQ0vlJUBsHNDHyDsoQOApbg/DUyhAByvspDhuJ0D+CaTHotYlQPO+YNqYHSVAX8Sia197I0Ced/QFd7QfQDRxzQEiASBAmOVf6LliG0CogJKlzUoXQDzJbTTLhBJACDW9teOnFUCeFuzeDwsaQDYJHDs5px9ArsKvqLY9IECiHazoOQ4ZQD9NfYRpfRtAzjdfSs1YFUA76Bh9CBAHQLXKCQFgiARAeGLZDWPbCECZ2ew4Gj0QQJ4sLhWDDQpAqwGhD3RTEUAFCd0aMncUQPxfdpVYYhJAR8GzDZpdEUD+SXv3j5wLQH52HFpgCgNAtFcKm/y1EUDSdKHS6G4LQCett4iAchtAAAtUUgdcG0BpxeEfQ6sfQIWII/zm9xlAb0ZhrJ8BHUBL9EQB9ysgQK/rNw+sZiFAZlbUmUa3IEDapzVzUHQaQIp+2819LxxADEISqSWWFUC8mSec3EkVQEbBk5lxiRNA8V/9GYaKE0A5bd8/nXgRQIH1YxJKVgxAaoT6svFdFECPXMejXM4UQESSt8O5VhBApMjBsmtcGEDX5xJVAZ8OQODRXG5hwgpA2VTiMCgVB0Da5TGIxywSQJNvTY9yIhJAok4gjsmpEEAoCXfC/doQQEDT85RHqhdAZbXDfIizFEB4yaFb2AEYQHgI7UopRhlA3BRrOzA1HkAtPl7Eu3IfQHITdMnipiFA3A3OjpvRIED9UfeLYu0hQGbAjxjxZCFAeDtQZtXEIUDKIA6V/QojQCoGme54YyNAV3fgTkxBJUDPxXkwyEApQM4SOh6mMixA1wD5OYMmLkBeIoKAp5krQFCRlvWJ9ypAnRySFDJaLEBDgVwxKh4sQCWu1M4qZClAm0Bojxh1KUCZzQ//V8coQFYKW+NGSSdAbDRN4m7RJ0B9AquTz8EqQLaOlKlsrChA8TuhtoHiJkB2lbPMDRQqQFEUwGWPuylAWcp1qVEiJkDcFo59sRcmQJEv3Tm1/CJA/oz851/VJUBlQqj7FaslQKqSyA0+wiZA715LnaMcJUCmfpZQco4mQKYEnH1lQyVA8bDYAli8IUB2dZZtvp0iQJQcDt29HCBArGzOsEzlHkDaRLjFm1QhQHB8unaJTiRAIWqLwJUiI0CxILXonWQiQGpkzkc/LCJA+bG2y1MSH0C+YrTHjIUZQGcByLyNRBdA+TXGYRW/FkB9m0QLB3EYQOfggrHWlhBAKzuGtR2FBkC4KZGe2x0DQNxQhNPcbwVAAyRxj4y4B0Cel2ks+UD6P8BblJpsgQ5AJIAzZp1UB0DYw7rUm0ICQCJFrALEA+w/0JSh53Gnp7+fN1VdAKfIPytFdH0Mnuk/wMYaMJb1jD/FVkJCGW/HPwsVy+MEuv6/PlVAgo+4BcAKo8oZFsMCwMImCwiPOQjAxiiZIQ+IDsDyID5e2gwEwHzlyU8Kivm/Zx4Hf57f+r99yKnGXR/3v1Qzk7n2+QXAR3ZwqtoVBcAAtyV/E5z+v+wYin/ULwnAXWj7ieny/b/eW5nUzLX5v2ZVBI+jQfa/qInWjhJixL8eMRiMAmn2v/uImum0HQbApJ0+vCZ6DsDMmYmeACf7v0s6LTptawbAB9fenGkHBMDwQZKfkWMMwOIPYpAn9wXANnkgkP1g9L+NEv4SmNwBwHYaI4LeBwnAojo+dcchAMB+Y4OxAJwCwMhm7Pg7NAXAjpW0pjs+E8AxVyEFz8YVwAxUegsiuxTAkW25+DL2FMCEPsF3cQsbwFyABatNaRfAPWz8/Z8rGMCZxoZYY1cdwJ3bzI3CZxrAuTuetVjKGMBW1l55qVscwAwvYNE80iDAMJ1TgTIIIcAU4QkvIygcwNcIpeQWRCDAwq3PlSovIMBTj4jBqrIhwO38EgW1RiPATI+6P3KFJMDU/UveTz0kwAAsJoNu3SLA1hMtG5A5JMBuHToGckQjwOQAPYeC/SXAXkJxTqGtJMDLGLEAz+wkwIfb8XjlXCXAvoqIsh9MJMBQjNMdUOIgwE3uQIfv5SPAJ5Fn4R/aJMBiGSywtuEjwJAc196kpiPA4URlHUG9I8A+SX3/DTQlwMw0ZlFTXSXALfEVg2KaJMCv5ZSvopQlwO75mM+WRyfAzLsOXUU9JcCHlGGvnhYnwLxSd/gITifADAKVsP2VJsBd0bI42BcnwOpAzCW2+irA0F5gZV+GLcBBdBpiSZEuwCAN4QWXDy7A+e0i0wsvLcAklK1bfe0twM78DUoQZzDAX/EQAonNL8CDHztrCtsxwOWPn6RFgzHAQYHxRW7yMsB/h4ZdCWgywJlCJ9GrDjLAdVoGE2UyMcD2H8VHM8ExwObVjKeanjDAuSTn0qQJMcDzZ92ZlecxwJwA4J/oDzPApMTYyTquM8AviM6/KlE1wOf0ocCRLTTALJc/NL9YNMBQbHY5/W01wPZYAn0P9DTAicmdC8iFNMBR1tKXUNYzwDY18wURjTLA3bN5Tym+MsAnz7mFrHozwMgd/xe4RTTANh0cFUaRNMB4m+3Nxwg2wFHXZwW+fzbAmmqcUoGWNcD8Sn6Lt0w3wP90gC+KlzjAgkGzkJZjOcDyOAwDfbU5wDENbV21qTjAWYLnlQ1SOcCjat1wglM6wH/qCgHVhzrAxN/ymbkXOsBKQdWr3Fo6wGyET8zZkzrA8/jaBDSXOsC7BKqGTtg6wGhvW2LM7zrA4jiOQsvXPMDmejW5AkM8wP+egtA9NDzA88RroXQZPMAhgJLu3BI+wE6z/DhR6jzAIdEFSlKNPcAsCbV8Smc9wBrl0x6jmz7AcTLTMlF1PsB8g8HB8p4/wDmRsznTaUDAlNuMjbGYP8Ap1w1pqZQ/wEWCiWZcoD/A1jm45+xNPsAEaqf1Ebs9wN0DJ8imSjzAg2hZyINyPcCQ5Em9UQk+wOYg40Umnj/A3aaBXz9CQMCIe5AZzJ1AwCC4xz2cJEHABV4AOwpgQcCjyxwgfspAwJLc1oDbK0HADmE5+3zeQMALEfuLMj9AwDS87Uo+EUDAThyk71E3PsC5X6ldjUA9wK4lyJEtwjzAwkH5B8nkOsBTxfqpd6A5wCXXFbaLFDnAKhsrw/NpOMDUAD4iFqM3wM/jEV2dfDfA1H1WjdkbOMAWYdRxHVg4wEvX949ZYDrAsN58oaSuO8BRK+wZF5Q9wFpcKbcfUz3A7Ar8mcEePsAlP6Q1naA+wKqtXxDEcj/Av3r4qC78PsBUQhhb/zs9wO/5QaivVT7A6zRQG9FkQMBE7Ai2M7dAwDcE22DcQEHAqxSG6I9DQcDvzE0te69BwPKjMuAXvkHAQhbOj33mQcCNZzgHmWNCwB7oEJAQWkLAVnrDY7LeQsApM4sxdnlDwJaBLIeDKkPA93Rj8fiBQ8CVPbM729ZDwMxqyJz5/0LAPr84qrCHQ8BQ7BKySclDwFKHeLytokLAUVwTq8rDQsBCRcsWd9tCwFn3ps7zMkLAnMUa+vtWQsDZ8LXJUIJCwOqcQg7rzULAzUUNJnJaQ8ByF9RG7VJDwGiTqgdy4EHABcrY2NNSQsAl1XI0aVJDwJzlggNhfkPAtGHbZTvHQ8BVLvfCiJtDwBlJO7DsiEPA1r17RmvFQ8D0brM+KlxDwCe/3Rn0qULAXdKnEe0XQ8AQIaCavyBDwBtxRnHBR0PA2QlzJa6GQ8BggejaDqxCwA6Qvdab00HA5z8R56HSQcBU29pBomBCwJ7gteDDuULA1XycesKZQsCIo2JcsldCwK0i1P1dGELAHUcza3puQsCSLUk+FUNCwLMJzkqgGELArHnJR3GqQsBrtFlvO7VCwArP2dHzJ0LAqcwB0bTkQcAEBOhQMTVCwDyPCK7GL0LAnqpK1J52QcBHymGsvt5BwLMIW1iAgUHAbeM+HYXFQcAwSsb+kMtBwCgKsCbpUELA+wYCV3J9QsAIGeAkuO1BwHjxykt+60DA7EPSdpPQQMDIihx3Ip5AwAMGUL7xwkDAq0jJGxulQMBdDzvsY7hAwDjdh+fJnUDAOKXqvtvMQMBfSgehe88/wHwBVhRlGUDAq4ENBnjkP8A1curLgwc/wGSpoD2qvT7AUmMV3+ApPcDE7Lw66FI8wFjTMEk1pD3AY2s77tEOPMCTJLdrbHM8wCYZcPFXgT3AwhI09lUsPsDVT97c/nk9wIHLgIWgtjvAR9exXuIgO8BP8Bekz+s5wM+jqgLsgznAltRyYiVAOsBCABqkfik4wMfEkXJYZjjAECz9PyFEOcD/6BrrDsg4wJ/GkCBZ5jnAVIxu8sVMOcDRJV6C5Ow4wH/5oXEmHDnAIMeAUCaON8DAnfAsPRE4wHn+YAYbWjjAPpBWAfggOcBKi1Btisw5wCKwsmzmSTnAHNiUiarSOMDETn65M0s5wGqvRjkqwDjAa6RIDFeuOMD7FU1NEQw5wE0IGTzxdjjAOG1b9WggOMDwE1NWuA05wFVk1ximaDrAUdC6NyITOsAx6vNtxXU6wNriEXKxGjvAKVAQ+8mAO8DmzqjufqA7wBISngsB4DrAW95hzLUfO8AKU3fC5aQ6wBMQI3A2tTrAiEqFNFjlOsC2+NbE3OU5wIdNsZ9H/jjA9Y26GywwO8D6NcdMcbw6wD49YL+3hTrANJjUVDVSOcAPAiZJY+s5wEAfsDFx1zvAJZti/2yoOsB9Cl8GMKU7wJ8s6abIpDzALUwGDPVhPMAveBw6SVw9wC6P61IXjDzAQm3zmkP1PcCyqJ6NY1s/wODB+gacVT3AAOlYWxYBPsAwytZTcw4+wLkCzI0dET/A7r/0nAv0PsBjkj2UQD8/wNZ9w/XyiD/At24lhll4P8BYYfh6ph8/wGY/CkECJz/AuRdJ81cbPsCxPdp3cb8+wJcPmD0cHEDAOdyPtAKKP8AFVO9o/hc9wJpsgrOrbD7AyFLI/XjYPsCxy8I5RbI+wJcR4ikpwz3Aolzv9vRAPsA5UneTgnM9wEmi4ZnztjvACb/5pSqYPMBPPLhhAbY7wBZ8tD1+czvAayhPJEYeO8CMbLXRxuo8wAvIOoPAJz3AdGVM7VkEPsCalFtfPbM+wNK2NYKqyT/ACunSSc5KQMBDuggYzt9AwJT2mUZUBEDAmNnVfR31P8CqW5YV8hA+wC92hXT1ezzAQ0J8EJriOsAVG1ypwOU6wDdfFdkzOzrAYnDhUGikOsC4Gmn5TmY6wH9CzKo3+zrAq4f00chhO8AwQXWsLIc5wFX+QXLA6jnAWSjSspZ3OsBnsg8lL3o7wIvseyKVfDrALY1JO8DbO8DkjuUwfAQ8wC2aMtX18TzAQpJ4gGkQPcBe4lJF3049wMaNkpmxpz3AKlBoR2VuO8A6I/MXK0k8wBrKUTvHwTvAE5OzN6z0OsBDCHZc9Bg6wBKSJ/TOwDnA5KjB8cZ2OsAuhePMX6c5wIZ2BxrJgTjAJx+b1WmbOMCc/TCg9EE5wLIDay1IATnAL2f4Y1vlOcDtVDUWcEs6wHjRBdUsgjnAm2EYztdLOsDO+hpXm/o7wIXFGN6PXTvAVCh6uCeMO8CSJ5/LFRc7wBen+YA+mjzAstTB3C+RPcC+Ryiwzak9wAm8BJAdYT7AXfm3oD6mPsD9CZa/cmw+wNDGKjubsT7ArS890BkWP8Db4oPjr0Y/wAcuF/lUb0DA0W5TNYR+QMCuo05rL9JAwJTYW327M0HA7Hr9HN4DQcAHIrX6hwlAwK/akLO120DAx63PxPAZQMANbtCcOgFAwHDiU3vxAz/AqS91piLLQMCTFD/RWiNBwKm5yDPCFkHANn2Jw+fiQcDlcKJqg9RBwBDE2IDMVUHAD4qG8u+JQMAsOjik6Pg/wJ+tQvXpyD/AI/X3mLT/P8DqtjpfmQFAwEGgL0dJoD/Awd/GzVe1P8CnsHwsxMM/wLCJjD8GWkDAbyhHzIswQMBBhiLBLs9AwCw0qWwpBUHAJo/nvgngQMCd3AHE2ulBwH1H7C2xNELAadvlxsL8QsBT4XWWpaRCwAbnUjfojULAWJjRBXLHQcDebNKKJH5CwNKYalV2BULAGH5KSXsgQsDxXNq8RU5CwFvYJ7YGG0PAI0gIiwh9Q8C6B0CVXEZDwJ2ZYXZL5kLAcs3n271TQ8BeAScvjLhDwB+8nTouiUPAjI+R878yQ8AYXVA5T5RDwNs0w30iokPAKbslE+FrQ8ALcU6TrF5DwHxHBTzaukLARB7y3PczQsBcaBu1QpZCwME55WhklULAP/SV0aI/Q8AHgjpJy2lDwHW9QlOCzkPAWGuYiTs8RMCr4M+3hTRFwJ7Ee5W53kXAc4EhRhndRcBtNOmn54FGwG3jthfKykXAS9LZj84PRsAlYxBNAsdFwEaMoh1iGkbAMY2DK6TORcAEEv64CZVFwLRSpU2uykXAJV5NOrWhRcDpmMY0Ym1GwMuY+HBcfkbAlzp0Q6u/RsAFqwdCupNGwNZsspklOUbAJB8ZsquDRsD1TJUNa0BGwCqgmKw+4EXAzxUkchd4RsAIvNXaUcZFwOhg1gsiNUbAcbETzMeORcCYZeYQdHJGwEAtBm4GuUbAIB5vR0MgRsChH7b8ElpGwMIsArdk4EbAKW57SJ5jR8BTIuOvVm1HwKUOlOB1dkjAQBWWyvqDSMDLQ3R6gTBHwIFxJ/IW00bAMj3AmdadRsBarR5WPwZGwCMzsa9EckbAk+s4XyNgRsA6+JfEMntFwNebrEZqM0XA2aWg1w9SRMDGbtsHu+9DwE4D6I+2X0PAVIhNfeLLQ8CcswaUmxVEwOMMcb7nHETAvU6tj3lsRMAySJZymWREwAXM5AhtDUTAT3IRAt69RMCxN7NibnlEwOklrSZbf0TA7ycC2JdLRMAZVU9YyIlEwATW3U4210TAiINGFhHzRMDWYg0KbjhEwJ4333+cRUTAK23QbbCURMCsoiKCSfpEwF31XfCTt0XARUnzBoGsRMACK/5RVcBFwJUbjsXY30TAnQth56JzRMBcm4bHHgdDwO+bCx1LuULAlKhFS9x1Q8DqQN8J3vZCwGAwwnpTkUPAALIqFhE9Q8ANYAotdChDwNG3TNUIyUPAb00Ry+zZQ8DJvmSM11JDwL1FJhWKw0LAoXFLusFZQ8Cuazkt8k9DwP2zHfFEkkPA1V6Ikka3Q8DlKvpsX+5DwLZ7E9kGTUPA2VVGLdsaQ8CniVFUdBhDwFbe6f0Aq0LAkZUFwRGiQsB9bfVUJeJCwEvLUqwoCkTAnEgaAOUxRMDPshv0SO9DwCaVo3OmsEPAuuV/TPv+Q8D3KjZ1B6RDwDZRjPu9IUTAkBqa29LaQ8By4pkdv6ZEwMLOeDjZg0TANMptlGbeRMA+iZafXlJEwDiXwcpjC0TAgKmu/UpeRcA0SqjYzqxFwCSO5REeUUXAw9NCHOhSRsAW27fMum5GwA2iKJgwO0bARH2WiB6hRsAdY3GVahRGwAwSbb8qnkbAUJMB769ERsDcZdTeduNFwHr6K7llZEXA43BycVh8RcD8+4Z+bx5FwGy6iL+cSkbAz4wLF9v7RcD/a0c9VAxGwPf6KFgWyEbAMQ8MCjOJRsDDFo6BJPBFwPf5XqPUUkbAtMWXBAAnRsC21OA8mupGwPo1rex/6kbAbpYPJmTERsAHn/dczPlGwIw3nzGmGEjACH7A7hs7SMAnjXxAbThIwMYFQQ1nSkfAJlUBL7BOR8CmRVxaYoBHwH8I6RTlLEfADD9i7sbmRsDBq5z24OZFwH3vnnLOxUTA2vRrAyoGRcCaWBKreZtEwAm/8iXLU0TAUQO5A1soRMCHANl+d/5EwNczhHc1D0XAbhHhfTSfRcBarhVjjJhEwOiJ9EdBhUTAtDAXJe+JQ8Bg2xVnAjdDwD6jj0YzoUPAvvR6xcsGRMBujmvdqnxDwMjRyQkoukPAkYZFk6OqQ8ClXCPzrv5DwLW0IFukJETAwNdRtu1aQ8CSL0kVmuFCwAFGrvs3CkPAXmkiaiNTQsDBNqjI63BCwCfR+TbKsELAjWIYsXwyQ8CJRnB/9WhDwFgoPItLtkPAmb1W1AvEQsDMgZ0QceBCwEbrt8VdwkLA4luf8Q8aRMBaWD5TbHtEwBPYZ/tbakTAMN1tIF58RMBLg7JqkSREwHqIWcmKIETAxZAKtvk0RMDsPeR0mPpDwGB10REhxUTA1fO0ww/rRMCXTewdj4hEwGXifXYa5UTA58GQXtOJRMDUAEmA4E1FwFj7tQ7n2UXARohp2cGcRcARUB5G8iFGwBCxg6IEBUbAOm2Kgz5QRcBN6zy0CfBFwMTCo9aAKEbAAxa0af0tRsBsxj8FBd5FwIBRFROTV0XA11BSNpMlRcBvf3geuOFFwKrfKZU8DUbAbgUpG/eORcAXgl8VIa9FwI+K+/DDs0XAJyseShokRcAm4bnWE25FwMAK4jFvzkTAB1V2IwmTRMBLvDN5Wz1FwFgv8XghVkTAk9/ZsymrRMDLB9evzs9EwBazk35ldUTAYG6v1m/kRMCokzdIhDhFwEX0eIPLZkTAOd9OlAppRcCwfsOKNSZFwBubiSPr+0TAxYBfc8cqRcBvVUtDCEtFwNuueU4FUEXAbEXzI4ezRMBeQqSJ8mZEwCxwnMlY/UPAafVz0jYEQ8BAfZunozdDwJHWWvdULUPAWIqX0cmQQsBtKYMgxHlCwIbdJsGnukLA+/QGgH5VQ8Bq9V4VgaBCwOaSDvkOs0LAoVRZuNbhQsDAr2GtXqRCwAP12WZXFULAdDZY/4SnQcBu0CcMEndCwHLEK2o8UELAvwPwdK4xQsBh0nSI0MxBwHhkPLkqtUHAlED7J3+kQcAJXsmxxrtBwPIku4TuqUHA9hd18RsUQcDu3+J9T8NAwKWxlyJ42EDAMOfkSoH9P8BN605mRl5AwMJ+0L5sX0DA3fbvZcFrQcDrmxtMSfBBwO181hMxUkHAi43uK8CHQcCJO+f+Vb9AwDlm4cGhv0DAdDiaixC/QMDefrI7Qz5AwBMSWuuI5T/AelJYHaWAQMAZpIQfGKpAwLbonCRnN0HAy7jV/B98QMBuir8ZtG9AwCpvuED8kT/AhBTG/kUAPsA6bG108ss9wCr4EhcgND7ASFSveig8PcBlBP/RjVM+wB7rNTZyoT/AxZ71qJTiQMAat1Dd8F5BwMXReJHeW0DAFiNgORbvP8D0zQW83NU/wAwIeeOmrj7AI9agXLW1P8D9oAPi2YQ/wLX7QNyjV0DAa5ph3xZrQMCCqjKpas5AwNv7/yNlUEHAUvvJ5SWsQcCTYqD98MBBwA2V1QW/UUHAhpt74CrhQMB2DjqPHHZBwINmVPmAGkHAPuFZmF10QMDMet9q4tY/wMhVUsFgAD7A9JUT5AfHPsA=\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"C\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"D\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"B\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"D\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"__x__values\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"__x__values_original\":{\"__ndarray__\":\"AACA9VmNa0IAAADB/o1rQgAAgIyjjmtCAAAAWEiPa0IAAIAj7Y9rQgAAAO+RkGtCAACAujaRa0IAAACG25FrQgAAgFGAkmtCAAAAHSWTa0IAAIDoyZNrQgAAALRulGtCAACAfxOVa0IAAABLuJVrQgAAgBZdlmtCAAAA4gGXa0IAAICtppdrQgAAAHlLmGtCAACARPCYa0IAAAAQlZlrQgAAgNs5mmtCAAAAp96aa0IAAIByg5trQgAAAD4onGtCAACACc2ca0IAAADVcZ1rQgAAgKAWnmtCAAAAbLuea0IAAIA3YJ9rQg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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"B\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"C\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"D\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"__x__values\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"B\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"C\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"D\":{\"__ndarray__\":\"fzX/F/K81L939QiezDjSP7BTl/MnEvG//9q65vjf9L/9Rtn5YtQDwA27a/P7wQfA9FA+gzIS7r+7HBe5Wrb0vxkzDHYDm/G/1z8d7NiM7r+q0GKyTw3rvyBVu0aBG9U/2G+JP3qgrT8BwtHFWBT7P7hBpGEsJP4/a4eRvwDj+z88tSaJktrQP6YJs9RC6ec/0KcpGMOiv7+EpbuLVJvnP0+ve/37eOk/AHznz4O16T950NOKRXnwPwPMUqJnlOU/TYUWqqdT8D8garkMXnfUvwZkaxV4OeS/VI+ODlXK2j8SMMMPvRzrPx6nbNBSKQVAgYob76ytC0DYvqAkDJgJQOjWl72BGwhAQqTbBF+aBEA2ze2oVYILQGxznJKCXwlA2rtsRWzLBUAMyLt/dv8BQHJ5ulXcLQZAgh8BetyUBkC5zqU7nXkGQNc9k71OKP4/7qKCKPNIDkB1/egeqAYLQIc0+eS0wQxAQYlQcHYLEUA7EFg6zPkQQJbxCU3ZkBhAqtKe8z3wF0Cxesav3pcTQBrlc2ZePxNA6sCZCnANEUDD5N6APpwMQFPAyoR8ngdA+4kT4emaCEAAsQfMXLkKQKYjdca8HBFA2LFti6C5FUBW3gNzi9EVQK6fK3nqJQ9AilsIjcAtCUCEwYx82J8TQO5TP5s85RVAbO4JES9WEUCwvJ86y3wTQK9T5zJVQBVAbMomC48fFEDOPbQXSe0SQDDo812DXAxAOBPA+t56FUBYiT9X9uwLQOSxJPFctAFAyMg9tFB2AUAUnhDN2S/9P2Bq4h91q8q/uUx3d8/2+r9Yfyq0Lezdv2IGa1/P1O8/OP7/jKI6+T+wANCYR5fxP67M15Acj/8/IyFvVVOlBkCS+o62pzAHQPo0tfyTiAlAnFGK7EX3CEDoDaOjysoXQIKWsZ+y8xRAz6YoyLfmFUAdtT7e/+UTQO2Hq2im/BZAJSMBfxaoGkDf0wZs87sbQOVV2UK59xtAPCnErWuqFkAVwFs6DjMWQCd+BpF40xdA5JilEYLDH0DquvBdlO0iQPbEUtRTuyBA/9dSps5EIEDwzUhOesUgQGrXf8O8rCNAvlflH9+pIUCuwIhnvW4gQO5/ELD5UCJAlu93EhivH0DJMegVgVYhQI7HhYsriyJAmwyfrEDJIkB8KhcJMp0kQH8RSGbOpCVATGWip3ooJUC59w6AE28lQJEl8ySrGihAV1gXLCuyJUAiBOqbTMceQK2pSbN+MR1A/fVAaOtEH0AlAuZQZPEeQJlSk+3PuRtAyJQNpf3YGkAJrMB9QE8fQLuMSgZCqiNA1iN4t/AOJEAN2/QDq0shQCWXjMJ6BSVAgZzm3kIoIkDIyTuwkEEjQPWdeagJhSNAM0AXoB8PJECOBmftydkkQCSQsfOK9SZAhP/95IFSIkAXYPjihaAiQNt8c/lSxyVAANqADtQLJEDzzBB9ayIlQBYwSoI7nCNA4EdzoqI7I0DqjxgNShYkQK/zTAqwPiNAkIxQ56l/JEDpgCEmc8UkQJ7cY9zHEyRA+ovaWgGBJEAe1lCfSIooQN4qzf6NAydACmzL+Q43J0DuK/nKcJcjQCQ3wL0XjiNA2STObv1lIkAMdTxUd+oiQH010gPQYCRACItolkmUIEDMKDO7IeMfQLbI4PfNnRtALgFjU6kjFkANSLPdYV4UQLJ33BufBRJAyBpXZ2KJDkAAGHUq+HEFQG4ey2BN9QhAnFzRz+Y9AECwzFgOf+wIQIvOCjRXPAhAOoGFOwEmDkCAOMPnDJkVQBa8We4PdBJAzjnRYHNYEkBH2heAscoZQNzwGSV6oB9AjZpc/0bkIEA9uFd4nxEeQOcD8w+1QR9AAZz7YzLbIEAjot7gahQgQAPZ8A4SfCBA4XiG9X6XI0ABNWKEvyMhQGD81wq+OBtAiPw+FdNzFEB3OqRtl2cXQEjcbZQGkhtA4EF6j3LJHkAKzopngngVQDcyr3XUzhVA/znS6IIZGkDybxFTP2QUQB8zziK6KhBAgiomq0ohBUAD6xF75P0JQK679UykwwJAqFJZy+K5/z/Z5NFqwOABQE3HJnwufQlAM7z2hXo+BEA2gGQKW9r/PyAK2pI2LANA1fD+XpbXCUAnTM0Ei6sTQIg0oD9xCwlAZGybC1hFFEBvy3YDAbgUQFMWpbkVtQ9ArPbtgeGvFUDuu9p6ms4ZQM7/Cbwc0BpA7BmEnf2+G0DV1tAB8t0cQAdfBnHiXSFAgepj2yVwIkDw2APTxSokQGNISgcJtSNAPLFjfgN+IkCQh30kGukjQEZ2Iv44wSVAhOdjqWRkJkAOqmFR0eImQLKSpb3wvSVAHxAJwJUWJUBSGkxjfSAiQHHsAg/bLyJANeJCTuHEIEBaB4MD8zEhQC9UpuE2ySFA5mr20u/gIEAKqEQ1iFQdQBIWY4lxRRtAseRNqanDHEAXDvX5cZMbQFiliDwXahtA5GR/sVMMGUAf40zJeKMZQEjL0kKQvRxAQ/ZOYWFEH0DmXV86bn4hQJ+7Y8rn8yJAO+JdPJsMIkCY4oW5AeQeQDQlF314lx1AI9YNTLPyGkCzuo5NI/sXQF6C88qTJBRAW5ujRd2YGkCkZcMzO9McQIfuTDNTsSFAgrOJnxF3IUBev0XpilojQKs9yNkYuyNAvbTe2iaBJkAhHnu7bEglQBM2t+SLliVAFSwLhnXQJUDcZ3FvfUQlQBdd8mVNqCRAULSN1ccJJUArAp1obl8jQNbxRsszHyNAMW6Mw16lIkBJbVQXNHciQDBrU4QFViRAGD+Lh5HAJkCOtXe5DsImQPAicF5TRiZAgkKgA+GrJ0B/FtgsVnwpQKbg3HII+ylA4BsPtBy5K0Afbc5rNNUtQJYvE2wY7S9AgqRFI4TALEAxnWVgw9wtQJtyAPOeYS5AJFadVxvrLkDUnn24PoEuQItiOpaF3jBAmPtgkgxaLkBv4xMJ9BwvQL2pAz1VIDBA44fVhIp9MEAGkWJ6OtYvQAix8PKTMTBAepr6GQ8KL0CGWVqjBq0uQPq6nlX/4y9AhDcWBzLKMEArJ6tRhaQxQFP3MTe4bDBAUxZjgw/nMEBk30ouU+gwQG0jKcFSmjFAVd9RKdHZMEAOWqD6m+sxQKQ9MkeqizJAu+VRclgSM0AE+huviyc0QM86+nWHvzVAzOslLqJjNUA3kD3EN640QPl9dHJL1DNAyt+oCfcBM0BYALJjZdkyQOBLR+6tyjNAwOFS+QsAM0C4s3LUqrsxQOSTJtbz+DBAirPaaHXlMUBOn5tAil0xQLNHfpNVyjNAA2IXg+8qNkBb3h9Os202QDtkqJRAfjZACMaprjN9NkC+Duy0njM3QDYru8hNVjhA8vp/FE/4NkBYdkcdi3E1QBqSumwBnjVAocXobq0JNkBzmx8PdOg1QHbLaQ3vCzZA/WdDiyMuN0Bvew8Ehks3QCgNUKCPeDdA1rdIzPPUNkBkIvmCVOs1QF4MDP6FujRAXnQKKXhpMkCzf9gvVtwyQESvDmUY0DNAUvvPEOh4NECr85qfJMU0QCGdIAscgzVAULvdD/d5N0D7zVKqbLM3QOV6Bc8s7DVAfYjIN62dNUAtUQA4spw1QM8PruAfhjdAeKk3obRANkBR7Ad/Ihk3QKLOZWFRnDdAQPFjnqXYNkCxGZ7xDc42QCB9gkWk2TZAMigrKcwDOEDwA/EatMw4QFJtsjx8fjpA9LxyMP07PkDIv7wYCPU+QOQtHpP39j5AIO/IVXk7QEBOydFzyeI/QE5I801l3T9AYRrKgMy4QECJ1y9EAydBQFDptUMaiUBA0npwYEYmQUB9yaa46m5BQHp8opfS7EFAAI2QC9EvQkAHCc1YDlNCQLbK3xLon0JA1aB3R8MBQ0CEk5oH1NNDQNkFN5eCTUNAOIxJ5JJoQ0AodlvusbNDQC/SikTaVkRA+O4U45LQQ0B9Xf95o/lDQJ/w8krFKERAvbIDhRN8Q0CKEBydGmJDQPqu98hiQkNAiQx0NjWiQkCPFJR1aP9BQLtqVXqQVkFAocq2sjIeQUBVGSsUmi1BQDj94daVAEFAVunt+Mz4QEDsNJasNDBBQKzNQu0cNEFAQ/o2zKSEQECHQusMJAZBQM8LLgGnhkFAHaE3/uVaQkBXyMFn3MNCQNrzAlg+0kJAEqaNmgbfQkDCgWpdUmJDQLDcRrfOb0NASCkkfWq8QkAHwKP0qVBDQI5Pp5Df0kJARxFeS5KJQ0AbEU72TPxDQI3lQuD6S0RAlvHLR2/oQ0CNOqFnWnZEQDHxhBtrqkRAocBM8NUqREB8M6LTrf5DQCTAMnFkLkRAmv5goyFyREDF27385itFQMU6Y/ccbkVAiviteE/dREB/6+YrV0NEQCLK/fSfsURAyRd5v9YlRUCJUt2/+fBEQJtb9kCEW0VAQiY8DeLYRUAIqCWTeLxFQEaAPbqyTkVAJVIxMTmhREChcZdXj1tEQL6SaaDkR0RAO/2AfrOnQ0CcMlqjrDZDQJjkbiuhIENAy0EE5FB3QkB7/Z8jutpBQKZs9d8UJkFACvBJRf/NQEA8XSjJZ+5AQBPt/hmWMUFArqGeVe8IQUDI4w24fo9AQNw8Ajg6+T9Auk1eflLgP0B71zs4/qBAQLDPp+UBQUFAr1wZXjVuQUBo+VDudMlBQPo/cEyOBkJAmxwukevdQUCMrrXCT8NBQOod0wUPOEJAB2bdSvrFQUA+cmTanFVBQMT8phgLD0FAN9z5kBVPQUBX9PZ2RXdBQGlan/iMgkFArtzfGPdSQkBA96+UhYZBQI5WtNOFhkFA17OWyf0XQUDzTQus+YNAQHrEBK5igEBAg2q+t2bGQEDdeoOHMglBQClPlbWOQUFAefdwdMD3QEA5/ryzbpJBQIghPKZdVEBAsN9AadnIP0C2VdrOZzU/QNLoczddH0BAxPGgjNU2QEDyWBtdtmA/QJOL9OTo/D9A3YNYHFEdQEAcqWimtgFAQE2/3enjhj9AjRqK37jBQECJNTy1ViJBQGLHM4zBB0JAE6ciYFUDQkAYTZXWEnZCQIFFzVs/GUJAqCcxWR/ZQUAZLlTaApJBQHxq9ZL390FAVsoav4I9QUCzDWOL3NZAQCGgjlbx1EBAzFaQ4iIgQUBxpuOyrClBQBfQGa5JOUFArAPungoKQUB/V8l1g25BQK6AwrP/YkFAOPHTeiXSQUAnqP9SSOVAQHZ6ZYhoC0FALxpVhdiBQUBPH+CNwWJBQGQz4K5NvEFAMPOyb2c8QkCCErWGCjNCQM1Dx5D7qkJAd8eClU/FQkAXxNk2v5hCQELpMgp2L0NA6sqOu6jMQkCGsT1mHyZCQHFuQ/aD3UJAQRlYvFN3QkAgV70rn1BCQHQLbGeggkFAvDll3MjpQUCuRMVTWRBDQK8cA9cFG0NAVzRmPsYtQ0DRE0BsEMxDQHfzDORbpENAv1l8naydQ0CuP4NgkXRDQKeVVXZfOENAv9e72ZCvQ0CBLuddjKVEQDXFhIkX9URAtQLM6V07RUCRNUOqz4xFQG1VAFl+fEVAewmoOlbZREDrz5vBnGZFQCRMUmUoH0VAfGQET4BzRUAb8EOssUFGQP5+rlH7wEZANS1kbiACR0D50mlmawZHQNhrW5F12UdAGlRrOp7mR0CoaPuxAzJHQD9sOTVquEdAdi4ZmPJaR0Dd6btDqutHQCTEBJMVsUdAcmTtun/hSEBydOAV1MVIQJ8wlmsCJEhAdt0FcP19SEBtXJt/3gdIQH9gxl/IM0hAyO4z6URdSEDIY/+1Th5JQHqGUA32u0lA+ugNnW/jSUABDcK//Z1JQG13P1fvwUlAjVcnfdxxSkBWSuXZbJFJQF5gqhL7U0lACitEGcnLSUC8AI/+oEhKQG66rzXstkpAMtwid2ovSkD93NPC6q9JQDkiO5WEqUhA0o4Rc6e7SEAhGKXOwq5IQBiyE1v3+UdAEILYUHC+R0AJSxHh6YNHQB6HpJecfEhATd17U4PqSEAZbfHmPDBJQDTS+rHt+ElASPLNc2fOSkBxqvDugoNLQKOSowxsektA1ruHdDNxS0Ct4OEMdIxLQPhAbQIbnktAgowFQ0OhTEBVSbo6SMdMQKV/A4PsZ0xAjagu5sioS0AHDx6pvlZLQDSIzhJ1xUpAY7y1qndZS0B3wxmxK+xKQCA+wbp9OExAI0xeJA05TUAj0gi4P/pMQI9GYgBrnU1A/yJ23BjyTUDYy5CYebNNQHklV/sQs01AKR0OixE4TUDn031ixZtNQIXnDtdViU5AZDgbNYHrTkDx/XjuZGhOQHAdmyh+wU5A3sPrXkqhTUCSvC1lADVNQFpRiBFk10xAPvuG2U03TEC+q4cQdWJMQCpbNa+G4ktAVpkCU0HWSkAOEvBLtPRKQKtf1YoCL0pAp70uzRKhSkDS7XaG0fpKQDgu66cIn0tAZ2cn5CUaS0ChAHEU8oRLQCrErueaVUxArYWKsTS1S0AqiPMNjZ9KQNfIfqLG8kpAWhn3GIE2TECND17QiyFMQB0iWYQS6EtASFgQXr3oS0AVjBaeh4JLQFo2UjLnJEtAcR7v+FoxSkDU1JX3bXtKQDE9FB7Dl0pAFeX6FtJsSkDRikunVlVKQJmWXRoMQUpAj2DqxNdeSUAVy+zY4b9IQN+4T0KJnEhAORZXKCHUSECSyrn5MnlHQMyRZ7yaXEZAmUBqVH9fRkBzlKHtP9FGQDHWCxhlJkZAY3AFSMWQRUBalO8xcodEQIummF+lZURAWuAcN6X+Q0CruU6PpXNEQMK8Av3KTERA3ltuOZKnREC96oYZHbJEQJQQRZASQERAoqCn8K0mRUCerVk5ildFQHx5+u/ly0RAWcsSJsPmREBqkVD9OSFFQKraSV7lpEVAxHuG/4JxRUBVxROAi0tFQI8Q1KUba0RAXksPIyDZQ0BGBqYU+XxEQIdXjo7cZURAPdGzSlJ3RUDWmbElT6xFQApMVKUWa0VATr8dJiG/REC1MqaObupEQLCu2JRB6URAvbac0XuXREDRFMe1EkFEQB6MKWvE40RAHGJuHKmPRED0zAF2gItEQDlAxwG76kNAWQESRJgpREC5CQMG3kxDQDVYTFqQOkNATaZBmcFoQ0BsbkuXd6VDQH5ExnPsUENAxwDU4g8qREDWWAStqWdEQJaEUQHIf0RAyn4WrfBiREDO3Ua2lwJEQHpgFdt/BkRAQLHgfOxrREDY8UQThk1EQEeoCkheQUVAfvfNKTrZRUBP6rPCLXZFQLD9GHcB8EVAfw12meGkREBqtEMoQOpEQOMNZpUxNUVAwsVM7tpfRUD+4YaUY3pFQNHXU+c8vkVA8H6TkwRmRUBfypcyCS1GQLm0JXCTPkZARzyImyt8RUDpPIX+ae1EQCJY+kPSk0RACPH/huUFRUAKOZwB2o9EQLl3nxFP8ERAXgzxNfj+RUB+8oE2Rs1FQJuOXYiTa0ZAlvN6YBX8RUDovhxC30tFQEKgwEccuURAUifgk0mrREC3CKD1qpVEQP+PjIDbYURAmy1FjgZQRECH0/8HHHFEQFkDJy8YpURA7Gem1r7zQ0DJOHojL8xDQJflA0aphENAqMVx3Nc0Q0AwU1pYw71CQOWYu6CoZEJAaCFAbv9YQkDLR7ssDE1CQFEOoeNj3UFA8PhwLpLRQUAhrw/cEP5CQDco+WZHCENASkOTv2GEQkDdgcpz69pBQBygy7lQY0JA33NysEnUQkCuMnpKRvdCQKs5G4inaURAnvP3VAl1RECM9CnrZR9EQJV1yn9Y20RA0YB0C/EcRUAVzG/dEDhFQPcP/uEo1ERADT0wqtW9REDGxp7lZVNEQE5deTV3zkNAskV2ctLUQ0CB8vOnPdVEQAfIytWd9kVARPHTfWcYRkB2zX7uamlGQBenhHjwnkZA5AA4cP8FR0BZ+yK14B9HQAtkg9Q95kZAON8ris0iR0Agdt05lkZHQBz60xV8UEdA/vOAuCSaR0BqzSkhB4pHQAD06ZLKzkdAnA4E9TsxSECuRPHF/e9IQECFOvkfUklAPrL9MDzASUDNFCXb+GlKQIYjcSkphkpA5v0bmRCaSkDh067G1JpKQAqlu9uA5UpAyNICS8HiSkAEV4pyqBxKQEacr72OVkpA4JblmzFvSUA1NSfp0k1JQOjzkhNhLklAfYu9ASagSUCBIOQFFyBKQK4rhMHtyUpA6Si7DyVUS0AaPR+Yk6lKQBGS2PkIQUpAhwjmxsdNSUBPX+DjaT1JQMlxw7gqo0lAUmSYRXdnSUDAmN34RgpJQODCg1w+f0lA4eKfmb6NSUCCFkIuBHhJQK5J4P55jkpAAURDtBdzS0AIoJqt31NLQGZBomZOSUtALIROUA9HS0A5rH27extLQKUB3WPJ90pAliNg9Bj8SkCBoP1iPLVLQLcNTLHeC0tARFrfcA1mS0CV/b5Fi4NLQGWX4m+ZkUtA4LhdgqiuS0AcHc+fm61LQPkUcqEWYkxAi7918NEZTUA4T2w6PxBMQAbvAGCOt0tASx4s6w9oS0A9GTvGv+lKQIdSTNVJYEpAJyBtiv6WSkABWwNpk5hKQNuqyyttikpAf0Np1WUpS0Cb18g+vf5LQJ8/vbczYk1AEfJnsPTgTUDjk83ri+FMQOP0rOMICE1AmBL7GHK3TEAxk1mZ1y5NQOSWkEHKck1AIitV0cR1TUBMjBalt2NNQGcTju4kak1AGA2RDwcoTkBjP3h/yDxNQH+dcINzeExAAl8BOUtXTEApygykANZLQGXxj5drbExABmmRjy7nTECTUtGaSStNQF4+66BI50xAXR55T2w+TUD+fTQ1/UpNQCRneCCJy01AU2W1PhjWTkDtHpmLR31OQM3mPRbnMk9AQj0BRv6qT0AtSLsLUf5PQJcHT5YsOU9AchmD2ywpT0BPP/7G0IZPQMvd7QjQok9AJoqQPPoSUEDOYqmAfgtQQHFXuZZcGVBAN/zKBSsgUECbgLFp+wpQQEyaoS3DSFBA3EQKKlEVUEDeZMBTgsdPQJLGevPE009AuNNqeo1PUEApZW1ChiVQQEhQJWgOiU9AxBM88oG7T0BXawLvT/lOQNNeznfy6E5AohKViQ4CTkDVoQlzUUZOQIrF4qEIhk5Ar5ijGqOsTkAqEOddgAFOQPvhyDFw4k1AiwoYlpCJTUCzitTM45ROQMHA1NCKr05AuGaU1P7FTkA+obnxk8tOQARpa7TJ1k5A5NGf9f/RTkAAoqULVRlPQEZlU/3QVE9AzrV/akIZUED2Y1zHe/VPQGydo5HYLlBAWQjWfusTUEDpp/0+dJNPQIQ/+GnLKVBAmPj1caRZUEBqkX/tR11QQNJ2nJCuVlBA+KUO6K4HUEAx7xdUgBtQQBInzitzPVBASKpZaIdmUECRzc0/8pxQQH07Abl45lBAgBM8JQFKUUCcTYKMFG1RQFRS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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]}},\"selected\":{\"id\":\"1195\"},\"selection_policy\":{\"id\":\"1194\"}},\"id\":\"1175\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"mantissas\":[1,2,5],\"max_interval\":500.0,\"num_minor_ticks\":0},\"id\":\"1072\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"line_color\":\"#d62728\",\"line_width\":2,\"x\":{\"field\":\"__x__values\"},\"y\":{\"field\":\"D\"}},\"id\":\"1177\",\"type\":\"Line\"},{\"attributes\":{\"base\":60,\"mantissas\":[1,2,5,10,15,20,30],\"max_interval\":1800000.0,\"min_interval\":1000.0,\"num_minor_ticks\":0},\"id\":\"1073\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"days\":[1,8,15,22]},\"id\":\"1077\",\"type\":\"DaysTicker\"},{\"attributes\":{\"days\":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]},\"id\":\"1075\",\"type\":\"DaysTicker\"},{\"attributes\":{},\"id\":\"1019\",\"type\":\"BasicTicker\"},{\"attributes\":{\"label\":{\"value\":\" D\"},\"renderers\":[{\"id\":\"1179\"}]},\"id\":\"1209\",\"type\":\"LegendItem\"}],\"root_ids\":[\"1220\"]},\"title\":\"Bokeh Application\",\"version\":\"2.3.2\"}};\n", + " var render_items = [{\"docid\":\"80c7df15-ab0a-4ea9-940e-9d071257669c\",\"root_ids\":[\"1220\"],\"roots\":{\"1220\":\"30fd602e-2e7c-4a65-a64c-ea6ccd919861\"}}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", "\n", " }\n", @@ -540,7 +566,12 @@ { "cell_type": "code", "execution_count": 6, - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:48:33.924108Z", + "start_time": "2021-05-31T10:48:33.821111Z" + } + }, "outputs": [ { "data": { @@ -668,7 +699,12 @@ { "cell_type": "code", "execution_count": 7, - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:48:34.020939Z", + "start_time": "2021-05-31T10:48:33.927356Z" + } + }, "outputs": [ { "data": { @@ -679,7 +715,7 @@ "\n", "\n", "\n", - "
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Interactive Plots

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Bokeh

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Interactive Plots

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Bokeh

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The pandas-bokeh library offers \n", "convenient functions for producing interactive Bokeh plots with few lines of code.

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Bokeh figures have a fixed width and height by default - we can override this behaviour\n", @@ -12161,13 +12209,9 @@ "\n", "

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Line Plot with Range Slider
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Line Plot with Range Slider
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Scatter Plot
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Scatter Plot
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Plotly

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Plotly

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With the Plotly backend for Pandas \n", "we can access the Plotly Express API directly from the .plot() method of any DataFrame or Series.

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Plotly figures will expand to fill their container space by default. \n", @@ -12273,39 +12308,27 @@ "\n", "

\n", "
\n", - "\n", - "
\n", - "
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Line Plot
\n", - "\n", - "
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Line Plot
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Scatter Plot with Facet Columns
\n", - "\n", - "
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Scatter Plot with Facet Columns
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\n", - " \n", - " \n", - " \n", - " \n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n" ], @@ -12314,9 +12337,7 @@ ] }, "metadata": { - "text/html": { - "isolated": true - } + "isolated": true }, "output_type": "display_data" }, @@ -12342,7 +12363,12 @@ { "data": { "text/plain": [ - ": Interactive Plots" + "{'Interactive Plots': [{'Bokeh': [{'Row 0': [{'Column 0': ['Markdown']}]},\n", + " {'Row 1': [{'Line Plot with Range Slider': ['FigureBokeh']}]},\n", + " {'Row 2': [{'Scatter Plot': ['FigureBokeh']}]}]},\n", + " {'Plotly': [{'Row 0': [{'Column 0': ['Markdown']}]},\n", + " {'Row 1': [{'Line Plot': ['FigurePlotly']}]},\n", + " {'Row 2': [{'Scatter Plot with Facet Columns': ['FigurePlotly']}]}]}]}" ] }, "execution_count": 11, @@ -12367,19 +12393,15 @@ "cell_type": "code", "execution_count": 12, "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:48:37.705421Z", + "start_time": "2021-05-31T10:48:37.278225Z" + }, "id": "05oH3hyt7Bvh" }, "outputs": [], "source": [ - "page_name = \"interactive-plots.html\"\n", - "my_page.save(page_name)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Check your current working directory for the finished report!" + "my_page.save_html(\"interactive-plots.html\")" ] } ], @@ -12389,6 +12411,7 @@ "name": "esparto-iris-example-colab.ipynb", "provenance": [] }, + "hide_input": false, "kernelspec": { "display_name": "Python 3", "language": "python", @@ -12405,6 +12428,48 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.5" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false } }, "nbformat": 4, diff --git a/docs/examples/iris-report.ipynb b/docs/examples/iris-report.ipynb index 83fc6d8..edee22d 100644 --- a/docs/examples/iris-report.ipynb +++ b/docs/examples/iris-report.ipynb @@ -22,6 +22,10 @@ "cell_type": "code", "execution_count": 1, "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:33.237598Z", + "start_time": "2021-05-31T10:41:31.545068Z" + }, "colab": { "base_uri": "https://localhost:8080/" }, @@ -41,6 +45,10 @@ "cell_type": "code", "execution_count": 2, "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:34.504100Z", + "start_time": "2021-05-31T10:41:33.240646Z" + }, "id": "0Pzi4t5EsUlq" }, "outputs": [], @@ -57,13 +65,17 @@ "id": "oOOwzOnkJcPI" }, "source": [ - "Before we start let's instantiate a Page object; we're not going to use this immediately but we'll need it later!" + "We start by instantiating a Page object that we will add content to." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:34.515156Z", + "start_time": "2021-05-31T10:41:34.508442Z" + }, "id": "-_DFIxBq6wa5" }, "outputs": [], @@ -86,6 +98,10 @@ "cell_type": "code", "execution_count": 4, "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:34.528089Z", + "start_time": "2021-05-31T10:41:34.521725Z" + }, "id": "DFK3Yy1P61aU" }, "outputs": [], @@ -107,13 +123,16 @@ "\"\"\"\n", " \n", "\n", - "content_credit = \"\"\"\n", - "_Retrieved from [Wikipedia](https://en.wikipedia.org/wiki/Iris_flower_data_set) on 2021-04-05_ \n", - "_License: [CC-BY-SA-3.0](https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License)_ \n", - "\n", - "\n", - "_Photo of Iris Virginica by Eric Hunt_ \n", - "_License: [CC-BY-SA-4.0](https://commons.wikimedia.org/wiki/Category:CC-BY-SA-4.0)_\n", + "credits = \"\"\"\\\n", + "\n", + "Text retrieved from [Wikipedia](https://en.wikipedia.org/wiki/Iris_flower_data_set) on 2021-04-05 \n", + "License: [CC-BY-SA-3.0](https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License) \n", + "\n", + " \n", + "\n", + "Photo of Iris Virginica by Eric Hunt \n", + "License: [CC-BY-SA-4.0](https://commons.wikimedia.org/wiki/Category:CC-BY-SA-4.0)\n", + "\n", "\"\"\"" ] }, @@ -123,13 +142,18 @@ "id": "nb8AuPeqJcPM" }, "source": [ - "In this example we wrap the markdown text in a Markdown object, although this could have been inferred if we added it directly to any Layout object." + "We can immediately add and view the rendered content by using the `>>` operator. `esparto` automatically converts strings\n", + "to Markdown, unless the string points to an image path." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:34.581327Z", + "start_time": "2021-05-31T10:41:34.531690Z" + }, "colab": { "base_uri": "https://localhost:8080/", "height": 313 @@ -153,6 +177,9 @@ "\n", "\n", "
\n", + "

Introduction

\n", + "
\n", + "
\n", "
\n", "

The Iris flower data set, or Fisher's Iris data set, is a multivariate data set introduced by \n", "the British statistician, eugenicist, and biologist Ronald Fisher in his 1936 paper \n", @@ -168,6 +195,9 @@ "\n", "

\n", "
\n", + "
\n", + "
\n", + "
\n", "\n", "\n", "\n" @@ -203,7 +233,7 @@ { "data": { "text/plain": [ - "" + "{'Introduction': [{'Row 0': [{'Column 0': ['Markdown']}]}]}" ] }, "execution_count": 5, @@ -212,20 +242,38 @@ } ], "source": [ - "intro_md = es.Markdown(intro)\n", - "intro_md" + "my_page[\"Introduction\"] >> intro" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To add additional content without a title we use the `+=` method to append in place." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 217 - }, - "id": "p1D2AD4xJcPO", - "outputId": "668a7869-9ca9-40c6-bc96-b29c03be1096" + "ExecuteTime": { + "end_time": "2021-05-31T10:41:34.592022Z", + "start_time": "2021-05-31T10:41:34.585468Z" + } + }, + "outputs": [], + "source": [ + "my_page.introduction += credits" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:34.639213Z", + "start_time": "2021-05-31T10:41:34.597344Z" + } }, "outputs": [ { @@ -243,14 +291,41 @@ "\n", "\n", "
\n", + "

Introduction

\n", + "
\n", + "
\n", + "
\n", + "

The Iris flower data set, or Fisher's Iris data set, is a multivariate data set introduced by \n", + "the British statistician, eugenicist, and biologist Ronald Fisher in his 1936 paper \n", + "'The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis'. \n", + "It is sometimes called Anderson's Iris data set because Edgar Anderson collected the data to quantify \n", + "the morphologic variation of Iris flowers of three related species. Two of the three species were \n", + "collected in the Gaspé Peninsula \"all from the same pasture, and picked on the same day and measured at \n", + "the same time by the same person with the same apparatus\".

\n", + "

The data set consists of 50 samples from each of three species of Iris (Iris setosa, Iris virginica and \n", + "Iris versicolor). Four features were measured from each sample: the length and the width of the sepals \n", + "and petals, in centimeters. Based on the combination of these four features, Fisher developed a linear \n", + "discriminant model to distinguish the species from each other.

\n", + "\n", + "
\n", + "
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Retrieved from Wikipedia on 2021-04-05
\n", - "License: CC-BY-SA-3.0

\n", - "

Photo of Iris Virginica by Eric Hunt
\n", - "License: CC-BY-SA-4.0

\n", + "

\n", + "Text retrieved from Wikipedia on 2021-04-05
\n", + "License: CC-BY-SA-3.0
\n", + "

\n", + "

\n", + "Photo of Iris Virginica by Eric Hunt
\n", + "License: CC-BY-SA-4.0\n", + "

\n", "\n", "
\n", "
\n", + "
\n", + "
\n", + "
\n", "\n", "\n", "\n" @@ -286,17 +361,17 @@ { "data": { "text/plain": [ - "" + "{'Introduction': [{'Row 0': [{'Column 0': ['Markdown']}]},\n", + " {'Row 1': [{'Column 0': ['Markdown']}]}]}" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "credits_md = es.Markdown(content_credit)\n", - "credits_md" + "my_page.introduction" ] }, { @@ -306,17 +381,21 @@ }, "source": [ "## Images\n", - "To add an image to the report, we give the image filepath to an Image object. \n", + "To add an image to the report, we pass the image file path as a string.\n", "A caption and alternative text can also be provided.\n", "\n", "\n", - "Since the original image is rather large we scale it down to 60% of its original size." + "Since the original image is rather large we set a maximum height with `.set_height()`." ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:35.127776Z", + "start_time": "2021-05-31T10:41:34.643819Z" + }, "colab": { "base_uri": "https://localhost:8080/" }, @@ -331,8 +410,12 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:35.149672Z", + "start_time": "2021-05-31T10:41:35.139820Z" + }, "colab": { "base_uri": "https://localhost:8080/", "height": 422 @@ -340,6 +423,22 @@ "id": "hP3KHcXe6Hpy", "outputId": "ac6b01da-8d46-47b9-f5b4-79b63e3b6437" }, + "outputs": [], + "source": [ + "pic = \"./iris-virginica.jpg\"\n", + "iris_img = es.Image(pic, caption=\"Iris Virginica\", alt_text=pic)\n", + "iris_img.set_height(250)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:35.233918Z", + "start_time": "2021-05-31T10:41:35.156284Z" + } + }, "outputs": [ { "name": "stdout", @@ -356,7 +455,7 @@ "\n", "\n", "
\n", - "
./iris-virginica.jpg
Iris Virginica
\n", + "
./iris-virginica.jpg
Iris Virginica
\n", "
\n", "\n", "\n", @@ -393,17 +492,15 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 8, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pic = \"./iris-virginica.jpg\"\n", - "iris_img = es.Image(pic, caption=\"Iris Virginica\", alt_text=pic).set_width(200)\n", "iris_img" ] }, @@ -413,16 +510,17 @@ "id": "tillrJmYJcPS" }, "source": [ - "Now that we have some content ready for our introduction section, we can define the structure and check that it renders nicely.\n", - "\n", - "\n", - "Notice that the first row contains our intro text and iris virginica picture. The licenses and attribution have been added to a second row beneath these." + "Now that we've finished our Introduction section, we should check that it looks as intended." ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:35.324695Z", + "start_time": "2021-05-31T10:41:35.237362Z" + }, "colab": { "base_uri": "https://localhost:8080/", "height": 743 @@ -446,9 +544,7 @@ "\n", "\n", "
\n", - "
\n", - "

Introduction

\n", - "\n", + "

Introduction

\n", "
\n", "
\n", "
\n", @@ -465,27 +561,25 @@ "discriminant model to distinguish the species from each other.

\n", "\n", "
\n", + "
\n", + "
./iris-virginica.jpg
Iris Virginica
\n", "
\n", - "
\n", - "
./iris-virginica.jpg
Iris Virginica
\n", - "
\n", - "\n", - "
\n", - "
\n", + "
\n", "
\n", "
\n", - "

Retrieved from Wikipedia on 2021-04-05
\n", - "License: CC-BY-SA-3.0

\n", - "

Photo of Iris Virginica by Eric Hunt
\n", - "License: CC-BY-SA-4.0

\n", + "

\n", + "Text retrieved from Wikipedia on 2021-04-05
\n", + "License: CC-BY-SA-3.0
\n", + "

\n", + "

\n", + "Photo of Iris Virginica by Eric Hunt
\n", + "License: CC-BY-SA-4.0\n", + "

\n", "\n", "
\n", "
\n", - "\n", "
\n", - "\n", "
\n", - "\n", "
\n", "\n", "\n", @@ -522,55 +616,19 @@ { "data": { "text/plain": [ - ": Introduction" + "{'Introduction': [{'Row 0': [{'Column 0': ['Markdown']},\n", + " {'Column 1': ['Image']}]},\n", + " {'Row 1': [{'Column 0': ['Markdown']}]}]}" ] }, - "execution_count": 9, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "intro_section = es.Section(\n", - " es.Row(intro_md, iris_img),\n", - " es.Row(credits_md),\n", - " title=\"Introduction\"\n", - ")\n", - "\n", - "intro_section" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "TRaAmkG1JcPT" - }, - "source": [ - "Adding a title helps identify the item when looking at the document structure." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "8hkZgRb6JcPU", - "outputId": "45d9fad6-0c10-4d16-9361-ab43c23c9aad" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'Introduction': [{'Row': [{'Column': ['Markdown']}, {'Column': ['Image']}]},\n", - " {'Row': [{'Column': ['Markdown']}]}]}\n" - ] - } - ], - "source": [ - "print(intro_section)" + "my_page.introduction[0] += iris_img\n", + "my_page.introduction" ] }, { @@ -580,37 +638,48 @@ }, "source": [ "## Pandas DataFrames\n", - "For the analysis section we will include a table of sample data from a Pandas DataFrame and a couple of visualisations \n", + "For the Analysis section we will include a table of sample data from a Pandas DataFrame and a couple of visualisations \n", "produced in MatplotLib and Seaborn.\n", "\n", - "\n", - "To start, we define a new Section object." + "The data set is downloaded from GitHub and read in with the usual Pandas API." ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": { - "id": "iwkQMicfwJtT" + "ExecuteTime": { + "end_time": "2021-05-31T10:41:35.436334Z", + "start_time": "2021-05-31T10:41:35.326875Z" + }, + "colab": { + "base_uri": "https://localhost:8080/", + "height": 359 + }, + "id": "_lAVXOx4JcPX", + "outputId": "6dbf1d63-5a12-4715-fd6b-2b3373a4b7f7" }, "outputs": [], "source": [ - "analysis_section = es.Section(title=\"Data Analysis\")" + "df = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv')\n", + "sample_df = df.sample(10, random_state=1)" ] }, { "cell_type": "markdown", - "metadata": { - "id": "DGTfVvaUJcPW" - }, + "metadata": {}, "source": [ - "The data set is downloaded from GitHub and read in with the usual Pandas API." + "Using the `<<` operator adds content to the page but returns the original object." ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:35.457963Z", + "start_time": "2021-05-31T10:41:35.438322Z" + }, "colab": { "base_uri": "https://localhost:8080/", "height": 359 @@ -746,1766 +815,174 @@ "120 6.9 3.2 5.7 2.3 virginica" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv')\n", - "sample_df = df.sample(10, random_state=1)\n", - "sample_df" + "my_page[\"Analysis\"][\"Sample Data\"] << sample_df" ] }, { "cell_type": "markdown", "metadata": { - "id": "pIrXFUOYJcPY" + "id": "5uNuMqJ8JcPc" }, "source": [ - "To include this in our page, we wrap the DataFrame in the DataFramePd class." + "## Plotting with Matplotlib and Seaborn" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can pass a Matplotlib figure directly to any `Layout` object. Matplotlib figures are converted to SVG format for HTML and PDF output. In the notebook environment, however, they are rendered as PNG images. Figures with many elements can take a long time\n", + "to display as SVG. This behaviour can be configured through `es.options.matplotlib_notebook_format`." ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:35.469065Z", + "start_time": "2021-05-31T10:41:35.462686Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'png'" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "es.options.matplotlib_notebook_format" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:35.479420Z", + "start_time": "2021-05-31T10:41:35.472648Z" + }, + "id": "Yq0cgw3cJcPd" + }, + "outputs": [], + "source": [ + "sns.set_palette(\"colorblind\")\n", + "sns.set_style(\"white\")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:35.493841Z", + "start_time": "2021-05-31T10:41:35.482989Z" + }, + "id": "auIWd5znJcPe" + }, + "outputs": [], + "source": [ + "df.species = df.species.astype(\"category\")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:35.934857Z", + "start_time": "2021-05-31T10:41:35.496744Z" + }, "colab": { "base_uri": "https://localhost:8080/", - "height": 538 + "height": 369 }, - "id": "iLGXVhdXJcPY", - "outputId": "4b612bc6-9f78-4d61-a759-9c565680fc6d" + "id": "EbC6No8KJcPe", + "outputId": "fddeeae2-785b-4111-92ea-e604c3632adb" }, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.style.use(\"seaborn-paper\")\n", + "fig1, ax = plt.subplots(figsize=[5, 3.5])\n", + "\n", + "for i, s in enumerate(df.species.cat.categories):\n", + " plot_data = df.loc[df.species == s]\n", + " ax.scatter(plot_data.petal_length, plot_data.petal_width, alpha=0.7, c=f\"C{i}\", label=s.capitalize())\n", + "\n", + "ax.set_title(\"Petal Length vs Petal Width\")\n", + "ax.set_xlabel(\"Petal Length (cm)\")\n", + "ax.set_ylabel(\"Petal Width (cm)\")\n", + "ax.legend()\n", + "fig1.tight_layout();" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:35.943392Z", + "start_time": "2021-05-31T10:41:35.938183Z" + } + }, + "outputs": [], + "source": [ + "my_page[\"Analysis\"][\"Visualisation\"] = fig1" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "0T9RJ9nXJcPg" + }, + "source": [ + "For some plots we may need to get the figure by calling `plt.gcf()` (get current figure), as shown below." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:36.335920Z", + "start_time": "2021-05-31T10:41:35.947563Z" + }, + "colab": { + "base_uri": "https://localhost:8080/", + "height": 473 }, + "id": "29-DgjGFYk3z", + "outputId": "18525e76-fdc6-48b9-fdcb-1e911f0f1a2c" + }, + "outputs": [ { "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "
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6.93.25.72.3virginica
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Data Analysis

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Sample Data
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sepal_lengthsepal_widthpetal_lengthpetal_widthspecies
5.84.01.20.2setosa
5.12.53.01.1versicolor
6.63.04.41.4versicolor
5.43.91.30.4setosa
7.93.86.42.0virginica
6.33.34.71.6versicolor
6.93.15.12.3virginica
5.13.81.90.4setosa
4.73.21.60.2setosa
6.93.25.72.3virginica
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" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "id": "Yq0cgw3cJcPd" - }, - "outputs": [], - "source": [ - "sns.set_palette(\"colorblind\")\n", - "sns.set_style(\"white\")" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "id": "auIWd5znJcPe" - }, - "outputs": [], - "source": [ - "df.species = df.species.astype(\"category\")" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 369 - }, - "id": "EbC6No8KJcPe", - "outputId": "fddeeae2-785b-4111-92ea-e604c3632adb" - }, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": {}, @@ -2514,27 +991,22 @@ ], "source": [ "sns.set_context(\"paper\")\n", - "ax = sns.pairplot(df, hue=\"species\", height=1.1)\n", - "ax.legend.remove()\n", - "fig = plt.gcf()\n", - "fig.subplots_adjust(top=0.93)\n", - "fig.suptitle(\"Iris Measurement Pairplot\")\n", - "pairplot_fig = es.FigureMpl(fig)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "gUuTsELBJcPi" - }, - "source": [ - "Finally, we add these plots in their own row at the end of the data analysis section." + "ax = sns.kdeplot(data=df)\n", + "ax.set_title(\"Kernel Density Estimates\")\n", + "ax.set_xlabel(\"Measurement (cm)\")\n", + "fig2 = plt.gcf()\n", + "fig2.set_size_inches((5, 3.5))\n", + "plt.tight_layout()" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 20, "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:36.556990Z", + "start_time": "2021-05-31T10:41:36.339835Z" + }, "colab": { "base_uri": "https://localhost:8080/", "height": 1000 @@ -2558,13325 +1030,13 @@ "\n", "\n", "
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Data Analysis

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Sample Data
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sepal_lengthsepal_widthpetal_lengthpetal_widthspecies
5.84.01.20.2setosa
5.12.53.01.1versicolor
6.63.04.41.4versicolor
5.43.91.30.4setosa
7.93.86.42.0virginica
6.33.34.71.6versicolor
6.93.15.12.3virginica
5.13.81.90.4setosa
4.73.21.60.2setosa
6.93.25.72.3virginica
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Visualisation
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Visualisation
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\n", "\n", "\n", @@ -15913,17 +1073,17 @@ { "data": { "text/plain": [ - ": Data Analysis" + "{'Visualisation': [{'Column 0': ['FigureMpl']}, {'Column 1': ['FigureMpl']}]}" ] }, - "execution_count": 22, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "analysis_section += es.Row(scatter_fig, pairplot_fig, title=\"Visualisation\")\n", - "analysis_section" + "my_page.analysis.visualisation += fig2\n", + "my_page.analysis.visualisation" ] }, { @@ -15932,131 +1092,19 @@ "id": "35oecWivJcPk" }, "source": [ - "## Setting up the Page\n", - "We're going to return now to the Page object we made at the start of the notebook.\n", + "## Checking the Finished Page\n", "\n", - "\n", - "Adding sections is as simple as using the '+=' operator to add them in place." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "y8-brjT0JcPl" - }, - "source": [ - "First, let's check the initial page structure. It's currently empty." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "y63MH0ChJcPl", - "outputId": "09e81c6b-d87f-4f4e-e833-07ec26375ada" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'Iris Report': []}\n" - ] - } - ], - "source": [ - "print(my_page)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "NCka63KXJcPm" - }, - "source": [ - "After adding the introductory section we can see that new content is present. " - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "d4UeMoYbJcPm", - "outputId": "be9c3ed0-62e9-4310-add3-eb3e5c8e5fed" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'Iris Report': [{'Introduction': [{'Row': [{'Column': ['Markdown']},\n", - " {'Column': ['Image']}]},\n", - " {'Row': [{'Column': ['Markdown']}]}]}]}\n" - ] - } - ], - "source": [ - "my_page += intro_section\n", - "print(my_page)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "BMgxKVd0JcPn" - }, - "source": [ - "And again with the analysis section." - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "zl25Z5jTJcPn", - "outputId": "d7a8264e-36da-4dfb-d4a5-84d55da1254e" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'Iris Report': [{'Introduction': [{'Row': [{'Column': ['Markdown']},\n", - " {'Column': ['Image']}]},\n", - " {'Row': [{'Column': ['Markdown']}]}]},\n", - " {'Data Analysis': [{'Sample Data': [{'Column': ['DataFramePd']}]},\n", - " {'Visualisation': [{'Column': ['FigureMpl']},\n", - " {'Column': ['FigureMpl']}]}]}]}\n" - ] - } - ], - "source": [ - "my_page += analysis_section\n", - "print(my_page)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "6qJp2_pCJcPo" - }, - "source": [ "We can view the final page rendering within the notebook." ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 21, "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:36.798646Z", + "start_time": "2021-05-31T10:41:36.561339Z" + }, "colab": { "base_uri": "https://localhost:8080/", "height": 1000 @@ -16081,12 +1129,8 @@ "\n", "\n", "
\n", - "
\n", - "

Iris Report

\n", - "\n", - "
\n", - "

Introduction

\n", - "\n", + "

Iris Report

\n", + "

Introduction

\n", "
\n", "
\n", "
\n", @@ -16103,41 +1147,35 @@ "discriminant model to distinguish the species from each other.

\n", "\n", "
\n", + "
\n", + "
./iris-virginica.jpg
Iris Virginica
\n", "
\n", - "
\n", - "
./iris-virginica.jpg
Iris Virginica
\n", - "
\n", - "\n", - "
\n", - "
\n", + "
\n", "
\n", "
\n", - "

Retrieved from Wikipedia on 2021-04-05
\n", - "License: CC-BY-SA-3.0

\n", - "

Photo of Iris Virginica by Eric Hunt
\n", - "License: CC-BY-SA-4.0

\n", + "

\n", + "Text retrieved from Wikipedia on 2021-04-05
\n", + "License: CC-BY-SA-3.0
\n", + "

\n", + "

\n", + "Photo of Iris Virginica by Eric Hunt
\n", + "License: CC-BY-SA-4.0\n", + "

\n", "\n", "
\n", "
\n", - "\n", - "
\n", - "\n", "
\n", - "
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Data Analysis

\n", - "\n", - "
\n", - "
Sample Data
\n", - "\n", + "

Analysis

\n", + "
Sample Data
\n", "
\n", - "\n", + "
\n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -16212,13238 +1250,17 @@ " \n", " \n", " \n", - "
sepal_lengthsepal_widthpetal_lengthpetal_widthspeciessepal_lengthsepal_widthpetal_lengthpetal_widthspecies
virginica
\n", - "
\n", - "\n", + "
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Visualisation
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Visualisation
\n", "
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Image
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Image
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\n", "\n", "\n", @@ -29480,10 +1297,15 @@ { "data": { "text/plain": [ - ": Iris Report" + "{'Iris Report': [{'Introduction': [{'Row 0': [{'Column 0': ['Markdown']},\n", + " {'Column 1': ['Image']}]},\n", + " {'Row 1': [{'Column 0': ['Markdown']}]}]},\n", + " {'Analysis': [{'Sample Data': [{'Column 0': ['DataFramePd']}]},\n", + " {'Visualisation': [{'Column 0': ['FigureMpl']},\n", + " {'Column 1': ['FigureMpl']}]}]}]}" ] }, - "execution_count": 26, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -29498,26 +1320,24 @@ "id": "jeDYcQ2iJcPp" }, "source": [ - "We can now save our page to an HTML file and share it." + "The page can now be saved as HTML or PDF." ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 22, "metadata": { + "ExecuteTime": { + "end_time": "2021-05-31T10:41:41.178867Z", + "start_time": "2021-05-31T10:41:36.802340Z" + }, "id": "05oH3hyt7Bvh" }, "outputs": [], "source": [ "page_name = \"iris-report.html\"\n", - "my_page.save(page_name)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Check your current working directory for the finished report!" + "my_page.save_html(\"iris-report.html\")\n", + "my_page.save_pdf(\"iris-report.pdf\")" ] } ], @@ -29527,6 +1347,7 @@ "name": "esparto-iris-example-colab.ipynb", "provenance": [] }, + "hide_input": false, "kernelspec": { "display_name": "Python 3", "language": "python", @@ -29543,6 +1364,48 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.5" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + 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diff --git a/esparto/__init__.py b/esparto/__init__.py index aa48b83..339f1e0 100644 --- a/esparto/__init__.py +++ b/esparto/__init__.py @@ -1,5 +1,84 @@ # -*- coding: utf-8 -*- -"""Top-level package for esparto.""" +""" +esparto +======= + +Simple HTML and PDF document generator for Python. + +esparto represents documents as a tree structure consisting of Layout +elements at the top and middle levels and Content elements in the leaves. +These objects are arranged in a fixed hierarchy, so esparto always knows +how to deal with new content if it hasn't been explicitly wrapped, or how +to fix the structure if it doesn't adhere to the nesting requirements. +It helps to understand this hierarchy when using the API so that we know what +to expect when adding content that required implicit wrapping and formatting. + +A document is created by first defining a Page object - this is the primary +interface for the library and all tasks should be achievable through methods +attached to the page. +Manipulating a page is similar to working with a Python dictionary: +square brackets are used for getting and setting items, while titles act as +keys and layout objects and content act as values. + + +Basic Usage +----------- + +import esparto as es + + +# Instantiating a Page +page = es.Page(title="Research") + +# Page layout hierarchy: +# Page -> Section -> Row -> Column -> Content + +# Add or update content +# Keys are used as titles +page["Introduction"]["Part One"]["Item A"] = "lorem ipsum" +page["Introduction"]["Part One"]["Item B"] = "./pictures/image1.jpg" + +# Add content without a title +page["Introduction"]["Part One"][""] = "Hello, Wolrd!" + +# Replace child at index - useful if no title given +page["Introduction"]["Part One"][-1] = "Hello, World!" + +# Set content and return either content or layout +# Useful in Jupyter Notebook as it will be displayed in cell output +page["Methodology"]["Part One"]["Item A"] << "dolor sit amet" +# >>> "dolor sit amet" +page["Methodology"]["Part Two"]["Item B"] >> "foobar" +# >>> {'Item A': ['Markdown']} + +# Show document structure +page.tree() +# >>> {'Research': [{'Introduction': [{'Part One': [{'Item A': ['Markdown']}, +# {'Item B': ['Image']}]}]}, +# {'Methodology': [{'Part One': [{'Item A': ['Markdown']}]}, +# {'Part Two': [{'Item A': ['Markdown']}]}]}]} + +# Remove content +del page["Methodology"]["Part One"]["Item A"] +del page.methodology.part_two.item_b + +# Access existing content as an attribute +page.introduction.part_one.item_a = "./pictures/image2.jpg" +page.introduction.part_one.tree() +# >>> {'Part One': [{'Item A': ['Image']}, +# {'Item B': ['Image']}, +# {'Column 2': ['Markdown']}]} + +# Save the document +page.save_html("my-page.html") +page.save_pdf("my-page.pdf) + +Documentation +------------- + +Please visit https://domvwt.github.io/esparto/ for documentation and examples. + +""" from importlib.util import find_spec as _find_spec from pathlib import Path as _Path @@ -7,7 +86,7 @@ __author__ = """Dominic Thorn""" __email__ = "dominic.thorn@gmail.com" -__version__ = "0.2.4" +__version__ = "1.0.0" _MODULE_PATH: _Path = _Path(__file__).parent.absolute() diff --git a/esparto/_adaptors.py b/esparto/_adaptors.py index 7574a36..ba7d9cf 100644 --- a/esparto/_adaptors.py +++ b/esparto/_adaptors.py @@ -27,7 +27,6 @@ def content_adaptor(content: Content) -> Content: """ if not issubclass(type(content), Content): raise TypeError(f"Unsupported content type: {type(content)}") - return content @@ -37,7 +36,6 @@ def content_adaptor_core(content: str) -> Content: guess = guess_type(content) if guess and "image" in str(guess[0]): return Image(content) - return Markdown(content) diff --git a/esparto/_content.py b/esparto/_content.py index ee7beea..effd1e7 100644 --- a/esparto/_content.py +++ b/esparto/_content.py @@ -14,6 +14,7 @@ from esparto import _INSTALLED_MODULES from esparto._options import options from esparto._publish import nb_display +from esparto._utils import responsive_svg_mpl if "pandas" in _INSTALLED_MODULES: from pandas import DataFrame # type: ignore @@ -34,21 +35,18 @@ class Content(ABC): """Template for Content elements. All Content classes come with these methods and attributes. Attributes: - content (Any): Text or image to be rendered - should match the encompassing Content class. + content (Any): Item to be included in the page - should match the encompassing Content class. """ - @property - @abstractmethod - def content(self) -> Any: - """Text or image to be rendered - should match the encompassing Content class.""" - raise NotImplementedError + content: Any + _dependencies: Set[str] @abstractmethod def to_html(self, **kwargs) -> str: - """Render content to HTML code. + """Convert content to HTML code. Returns: - HTML code. + str: HTML code. """ raise NotImplementedError @@ -57,24 +55,10 @@ def display(self) -> None: """Display rendered content in a Jupyter Notebook cell.""" nb_display(self) - @property - def _dependencies(self) -> Set[str]: - raise NotImplementedError - - @_dependencies.getter - def _dependencies(self) -> Set[str]: - if hasattr(self, "_deps"): - return self._deps - return set() - - @_dependencies.setter - def _dependencies(self, deps) -> None: - self._deps = deps - def __add__(self, other): from esparto._layout import Row - return Row(self, other) + return Row(children=[self, other]) def __iter__(self): return iter([self]) @@ -83,11 +67,10 @@ def __len__(self): return len(list(self.content)) def _repr_html_(self): - """ """ nb_display(self) def __str__(self): - return str(self.__class__.__name__) + return getattr(self, "title", None) or self.__class__.__name__ def __eq__(self, other): if isinstance(other, self.__class__): @@ -108,28 +91,14 @@ class Markdown(Content): """ - @property - def content(self) -> str: - """ """ - raise NotImplementedError - - @content.getter - def content(self) -> str: - """ """ - return self._content - - @content.setter - def content(self, content) -> None: - """ """ - self._content = content + _dependencies = {"bootstrap"} def __init__(self, text): if not isinstance(text, str): raise TypeError(r"text must be str") - self.content = str(text) - self._dependencies = {"bootstrap"} + self.content: str = text def to_html(self, **kwargs) -> str: html = md.markdown(self.content) @@ -157,20 +126,7 @@ class Image(Content): """ - @property - def content(self) -> Union[str, BytesIO]: - """ """ - raise NotImplementedError - - @content.getter - def content(self) -> Union[str, BytesIO]: - """ """ - return self._content - - @content.setter - def content(self, content) -> None: - """ """ - self._content = content + _dependencies = {"bootstrap"} def __init__( self, @@ -191,9 +147,8 @@ def __init__( self._scale = scale self._width = set_width self._height = set_height - self._dependencies = {"bootstrap"} - def set_width(self, width) -> "Image": + def set_width(self, width) -> None: """Set width of image prior to rendering. Args: @@ -201,9 +156,8 @@ def set_width(self, width) -> "Image": """ self._width = width - return self - def set_height(self, height) -> "Image": + def set_height(self, height) -> None: """Set height of image prior to rendering. Args: @@ -211,9 +165,8 @@ def set_height(self, height) -> "Image": """ self._height = height - return self - def rescale(self, scale) -> "Image": + def rescale(self, scale) -> None: """Rescale the image proportionately prior to rendering. Note: @@ -224,7 +177,6 @@ def rescale(self, scale) -> "Image": """ self._scale = scale - return self def to_html(self, **kwargs) -> str: if isinstance(self.content, PILImage): @@ -237,8 +189,8 @@ def to_html(self, **kwargs) -> str: image_encoded = _image_to_base64(image) html = ( - "

" - + "" + + "" @@ -253,47 +205,34 @@ def to_html(self, **kwargs) -> str: class DataFramePd(Content): - """Pandas DataFrame to be rendered as a table. + """Pandas DataFrame to be converted to table. Args: df (pd.DataFrame): A Pandas DataFrame index (bool): If True, render the DataFrame index. (default = False) - col_space (str, int): Minimum column width in CSS units. Use int for pixels. (default = 10) + col_space (str, int): Minimum column width in CSS units. Use int for pixels. (default = 0) """ - @property - def content(self) -> "DataFrame": - """ """ - raise NotImplementedError - - @content.getter - def content(self) -> "DataFrame": - """ """ - return self._content - - @content.setter - def content(self, content) -> None: - """ """ - self._content = content + _dependencies = {"bootstrap"} def __init__( - self, df: "DataFrame", index: bool = False, col_space: Union[int, str] = 10 + self, df: "DataFrame", index: bool = False, col_space: Union[int, str] = 0 ): if not isinstance(df, DataFrame): raise TypeError(r"df must be Pandas DataFrame") - self.content = df + self.content: "DataFrame" = df self.index = index self.col_space = col_space - self._dependencies = {"bootstrap"} def to_html(self, **kwargs) -> str: classes = "table table-sm table-striped table-hover table-bordered my-1" html = self.content.to_html( index=self.index, border=0, col_space=self.col_space, classes=classes ) + html = f"
{html}
" return html @@ -302,75 +241,62 @@ class FigureMpl(Content): Args: figure (plt.Figure): A Matplotlib figure. - caption (str): Image caption (default = None) - alt_text (str): Alternative text. (default = None) + width (int): Width in pixels. (default = '100%') + height (int): Height in pixels. (default = 'auto') output_format (str): One of 'svg', 'png', or 'esparto.options'. (default = 'esparto.options') """ - @property - def content(self) -> "MplFigure": - """ """ - raise NotImplementedError - - @content.getter - def content(self) -> "MplFigure": - """ """ - return self._content - - @content.setter - def content(self, content) -> None: - """ """ - self._content = content + _dependencies = {"bootstrap"} def __init__( self, figure: "MplFigure", - caption: str = "", - alt_text: str = "Image", + width: Union[str, int] = "100%", + height: Union[str, int] = "auto", output_format="esparto.options", ): if not isinstance(figure, MplFigure): raise TypeError(r"figure must be a Matplotlib Figure") - self.content = figure - self.caption = caption - self.alt_text = alt_text + self.content: MplFigure = figure + self.width = html_dim(width) + self.height = html_dim(height) self.output_format = output_format - self._dependencies = {"bootstrap"} - - def __deepcopy__(self, *args, **kwargs): - cls = self.__class__ - return cls(self.content) def to_html(self, **kwargs): - - if self.output_format == "esparto.options": + if kwargs.get("notebook_mode"): + output_format = options.matplotlib_notebook_format + elif self.output_format == "esparto.options": output_format = options.matplotlib_output_format else: output_format = self.output_format if output_format == "svg": - if kwargs.get("pdf_mode"): - temp_file = Path(options.pdf_temp_dir) / f"{uuid4()}.svg" - self.content.savefig(temp_file, format="svg") - source = f"\n" - else: - buffer = StringIO() - self.content.savefig(buffer, format="svg") - buffer.seek(0) - source = buffer.read() - - html = f"
\n{source}\n" + buffer = StringIO() + self.content.savefig(buffer, format="svg") + buffer.seek(0) + xml = buffer.read() - if self.caption: - html += ( - f"
{self.caption}
\n" + if kwargs.get("pdf_mode"): + width, height = self.content.get_size_inches() * 96 + xml = responsive_svg_mpl(xml, width=int(width), height=int(height)) + temp_file = Path(options.pdf_temp_dir) / f"{uuid4()}.svg" + temp_file.write_text(xml) + inner = ( + "\n" ) + else: + xml = responsive_svg_mpl(xml) + inner = xml - html += "
\n" + html = ( + f"
\n" + + f"{inner}\n
\n" + ) return html @@ -378,7 +304,7 @@ def to_html(self, **kwargs): buffer = BytesIO() self.content.savefig(buffer, format="png") buffer.seek(0) - return Image(buffer, caption=self.caption, alt_text=self.alt_text).to_html() + return Image(buffer).to_html() class FigureBokeh(Content): @@ -386,90 +312,34 @@ class FigureBokeh(Content): Args: figure (bokeh.layouts.LayoutDOM): A Bokeh object. - width (int): Width in pixels. (default = figure.width or 'auto') + width (int): Width in pixels. (default = figure.width or '100%') height (int): Height in pixels. (default = figure.height or 'auto') """ - @property - def content(self) -> "BokehObject": - """ """ - raise NotImplementedError - - @content.getter - def content(self) -> "BokehObject": - """ """ - return self._content - - @content.setter - def content(self, content) -> None: - """ """ - self._content = content - - @property - def width(self) -> Union[int, str, None]: - """ """ - raise NotImplementedError - - @width.getter - def width(self) -> str: - """ """ - if isinstance(self._width, str) and self._width == "auto": - return self._width - - return f"{self._width}px" - - @width.setter - def width(self, width) -> None: - """ """ - self._width = width - - @property - def height(self) -> Union[int, str, None]: - """ """ - raise NotImplementedError - - @height.getter - def height(self) -> str: - """ """ - if isinstance(self._height, str) and self._height == "auto": - return self._height - - return f"{self._height}px" - - @height.setter - def height(self, height) -> None: - """ """ - self._height = height + _dependencies = {"bokeh"} def __init__( self, figure: "BokehObject", - width: int = None, - height: int = None, + width: Union[int, str] = None, + height: Union[int, str] = None, ): - - self._dependencies = {"bokeh"} - self.content = figure - if not issubclass(type(figure), BokehObject): raise TypeError(r"figure must be a Bokeh object") + self.content: BokehObject = figure + fig_width = figure.properties_with_values().get("width") fig_height = figure.properties_with_values().get("height") - self.width = width or fig_width or "auto" - self.height = height or fig_height or "auto" - - # Required as deep copy is not defined for Bokeh figures - # Also need to catch some erroneous args that get passed to the function - def __deepcopy__(self, *args, **kwargs): - cls = self.__class__ - return cls(self.content) + self.width = html_dim(width or fig_width or "100%") + self.height = html_dim(height or fig_height or "auto") def to_html(self, **kwargs) -> str: - if kwargs.get("pdf_mode"): + # Bokeh to PDF is experimental and untested + if kwargs.get("pdf_mode"): # pragma: no cover from bokeh.io import export_svg # type: ignore temp_file = Path(options.pdf_temp_dir) / f"{uuid4()}.svg" @@ -482,7 +352,7 @@ def to_html(self, **kwargs) -> str: # Remove outer
tag so we can give our own attributes html = _remove_outer_div(html) - return f"
{html}\n{js}\n
" + return f"
{html}\n{js}\n
" class FigurePlotly(Content): @@ -490,72 +360,22 @@ class FigurePlotly(Content): Args: figure (plotly.graph_objs._figure.Figure): A Plotly figure. - width (int): Width in pixels. (default = 'auto') + width (int): Width in pixels. (default = '100%') height (int): Height in pixels. (default = 500) """ - @property - def content(self) -> "PlotlyFigure": - """ """ - raise NotImplementedError - - @content.getter - def content(self) -> "PlotlyFigure": - """ """ - return self._content - - @content.setter - def content(self, content) -> None: - """ """ - self._content = content - - @property - def width(self) -> Union[int, str, None]: - """ """ - raise NotImplementedError - - @width.getter - def width(self) -> str: - """ """ - if self._width == "auto": - return self._width - - return f"{self._width}px" - - @width.setter - def width(self, width) -> None: - """ """ - self._width = width - - @property - def height(self) -> Union[int, str, None]: - """ """ - raise NotImplementedError - - @height.getter - def height(self) -> str: - """ """ - if self._height == "auto": - return self._height - - return f"{self._height}px" - - @height.setter - def height(self, height) -> None: - """ """ - self._height = height + _dependencies = {"plotly"} def __init__(self, figure: "PlotlyFigure", width: int = None, height: int = None): if not isinstance(figure, PlotlyFigure): raise TypeError(r"figure must be a Plotly Figure") - self.width = width or figure.layout["width"] or "auto" - self.height = height or figure.layout["height"] or 500 + self.width = html_dim(width or int(figure.layout["width"] or 0) or "100%") # type: ignore + self.height = html_dim(height or int(figure.layout["height"] or 0) or 500) # type: ignore - self.content = figure - self._dependencies = {"plotly"} + self.content: PlotlyFigure = figure def to_html(self, **kwargs) -> str: @@ -571,7 +391,7 @@ def to_html(self, **kwargs) -> str: html = _remove_outer_div(html) html = ( "
{html}\n
" + + f"style='max-width: {self.width}; height: {self.height};'>{html}\n
" ) return html @@ -628,3 +448,12 @@ def _rescale_dims( new_size = (int(size[0] * ratio), int(size[1] * ratio)) return new_size + + +def html_dim(size: Union[int, str]) -> str: + if isinstance(size, int): + return f"{size}px" + elif isinstance(size, str): + return size + else: + raise TypeError(type(size)) diff --git a/esparto/_contentdeps.py b/esparto/_contentdeps.py index a92e2b7..80be032 100644 --- a/esparto/_contentdeps.py +++ b/esparto/_contentdeps.py @@ -1,6 +1,7 @@ +"""Content dependency management.""" + from collections import UserDict from dataclasses import dataclass, field -from functools import lru_cache from pathlib import Path from typing import List, Set @@ -23,15 +24,14 @@ class ResolvedDeps: class ContentDependencyDict(UserDict): - def __add__(self, other: ContentDependency): - self.data[other.name] = other + def __add__(self, item: ContentDependency): + super().__setitem__(item.name, item) return self JS_DEPS = {"bokeh", "plotly"} -@lru_cache(maxsize=None) def lazy_content_dependency_dict() -> ContentDependencyDict: bootstrap_cdn = ( ' Section -> Row -> Column -> Content` + Attributes: - title (str): Title for object reference and HTML rendering. - children (list): Child elements representing the document tree. + title (str): Object title. Used as a title within the document and as a key value. + children (list): Child items defining the document layout and content. """ - # Each element should return title with appropriate HTML tags - @abstractmethod - def _render_title(self) -> str: - """Each element should return its title with appropriate HTML tags.""" - raise NotImplementedError + # ------------------------------------------------------------------------+ + # Magic Methods | + # ------------------------------------------------------------------------+ - @property - def title(self) -> Optional[str]: - """Title for use in document layout and as object reference.""" - raise NotImplementedError + def __init__( + self, + title: Optional[str] = None, + children: Union[ + List[Union["Layout", "Content", Any]], "Layout", "Content" + ] = list(), + ): + self.set_children(children) + self.title = title - @title.getter - def title(self) -> Optional[str]: - """ """ - return self._title + def __iter__(self): + return iter([self]) - @title.setter - def title(self, title: Optional[str]) -> None: - """ """ - self._title = title + def __repr__(self): + return self._tree() - @property - def children(self) -> list: - """List of child elements representing the document tree. + def _repr_html_(self): + self.display() - Layout and Content elements can be added to any existing Layout object. + def __str__(self): + return self._tree() - When an item is added to a Layout element it is automatically nested in a suitable child class - and matched to an appropriate Content class as required. + def __add__(self, other: Union["Layout", "Content", Any]): - """ - raise NotImplementedError + if isinstance(other, type(self)): + return self._parent_class( + title=self.title, children=[*(*self.children, *other.children)] + ) - @children.getter - def children(self) -> Iterable: - """ """ - if hasattr(self, "_children"): - children = self._children + new = copy.copy(self) + new.children = self.children + [*self._smart_wrap(other)] + + return new + + def __eq__(self, other): + if isinstance(other, self.__class__): + return ( + self.title == other.title + and len(self.children) == len(other.children) + and all((x == y for x, y in zip(self.children, other.children))) + ) + return False + + def __ne__(self, other): + return not self.__eq__(other) + + def __getattribute__(self, key: str) -> Any: + child_id = super().__getattribute__("_child_ids").get(key) + if child_id: + return self.__getitem__(child_id) + return super().__getattribute__(key) + + def __setattr__(self, key: str, value: Any) -> None: + child_id = super().__getattribute__("_child_ids").get(key) + if child_id: + self.__setitem__(child_id, value) else: - children = [] - return children + super().__setattr__(key, value) - @children.setter - def children(self, children) -> None: - """ """ - children = self._sanitize_child_iter(children) - children = self._smart_wrap(children) - self._children = children + def __delattr__(self, key: str) -> None: + child_id = super().__getattribute__("_child_ids").get(key) + if child_id: + self.__delitem__(child_id) + else: + super().__delattr__(key) + + def __getitem__(self, key: Union[str, int]): + if isinstance(key, str): + indexes = get_matching_titles(key, self.children) + if len(indexes): + return self.children[indexes[0]] + value = self._child_class(title=key) + self.children.append(value) + if key: + self._add_child_id(key) + return self[key] + + elif isinstance(key, int) and key < len(self.children): + return self.children[key] + + raise KeyError(key) + + def __setitem__(self, key: Union[str, int], value: Any): + value = copy.copy(value) + value = self._smart_wrap(value) + value = value[0] + if isinstance(key, str): + if key: + value.title = key + indexes = get_matching_titles(key, self.children) + if indexes: + self.children[indexes[0]] = value + else: + self.children.append(value) + self._add_child_id(key) + else: + self.children.append(value) + return None + elif isinstance(key, int) and key < len(self.children): + value.title = getattr(self.children[key], "title", None) + self.children[key] = value + return None + raise KeyError(key) + + def __delitem__(self, key) -> None: + if isinstance(key, str): + indexes = get_matching_titles(key, self.children) + if len(indexes): + self._remove_child_id(key) + del self.children[indexes[0]] + return None + elif isinstance(key, int) and key < len(self.children): + child_title = getattr(self.children[key], "title", None) + self._remove_child_id(child_title) + del self.children[key] + return None + raise KeyError(key) + + def __lshift__(self, other: Union["Layout", "Content", Any]): + self.set_children(other) + return other + + def __rshift__(self, other: Union["Layout", "Content", Any]): + self.set_children(other) + return self + + title: Optional[str] + children: List[Any] = [] + _parent_class: Type["Layout"] + _child_class: Type["Layout"] + _title_tags: str + _body_tags: str + _dependencies = {"bootstrap"} + + @property + def _child_ids(self) -> Dict[str, str]: + """Return existing child IDs or a new dict.""" + try: + super().__getattribute__("__child_ids") + except AttributeError: + super().__setattr__("__child_ids", dict()) + return super().__getattribute__("__child_ids") + + # ------------------------------------------------------------------------+ + # Public Methods | + # ------------------------------------------------------------------------+ + + def display(self) -> None: + """Display rendered document in a Notebook environment.""" + nb_display(self) - def _sanitize_child_iter(self, children: Iterable[Any]) -> Iterable[Any]: - """Ensure new Content and Layout elements are in the correct format for further processing. + def set_children(self, other: Union["Layout", "Content", Any]): + """Set children as other.""" + other = copy.copy(other) + self.children = [*self._smart_wrap(other)] - Args: - children: Iterable[Any]: Sequence of Layout and / or Content items. + def to_html(self, **kwargs) -> str: + """Convert document to HTML code. Returns: - Iterable[Any]: Clean sequence of Layout and / or Content items. + str: HTML code. """ - # Convert any non-list iterators to lists - children_: Iterable[Any] = ( - list(children) - if hasattr(children, "__iter__") and not isinstance(children, str) - else [children] - ) - # Unnest any nested lists of children - if len(list(children_)) == 1 and isinstance(list(children_)[0], (list, tuple)): - children_ = list(children_)[0] - return children_ + children_rendered = " ".join([c.to_html(**kwargs) for c in self.children]) + title_rendered = self._title_tags.format(self.title) if self.title else "" + + html = self._body_tags.format(f"{title_rendered}\n{children_rendered}\n") + return html - def _smart_wrap(self, children: Iterable[Any]) -> Iterable[Any]: + def tree(self) -> None: + """Display document tree.""" + print(self._tree()) + + # ------------------------------------------------------------------------+ + # Private Methods | + # ------------------------------------------------------------------------+ + + def _add_child_id(self, key): + attr_name = clean_attr_name(key) + if attr_name: + self._child_ids[attr_name] = key + super().__setattr__(attr_name, self[key]) + + def _remove_child_id(self, key): + attr_name = clean_attr_name(key) + if attr_name in self._child_ids: + del self._child_ids[attr_name] + super().__delattr__(attr_name) + + def _smart_wrap( + self, child_list: Iterable[Any] + ) -> Iterable[Union["Layout", "Content"]]: """Wrap children in a coherent class hierarchy. Args: @@ -122,213 +251,105 @@ def _smart_wrap(self, children: Iterable[Any]) -> Iterable[Any]: """ from esparto._adaptors import content_adaptor + child_list = clean_iterator(child_list) + if isinstance(self, Column): - return [content_adaptor(x) for x in children] + return [content_adaptor(x) for x in child_list] is_row = isinstance(self, Row) unwrapped_acc: list = [] output = [] - for item in children: - is_wrapped = isinstance(item, self._child_class) + for child in child_list: + is_wrapped = isinstance(child, self._child_class) if is_wrapped: if unwrapped_acc: - wrapped_segment = self._child_class(*unwrapped_acc) + wrapped_segment = self._child_class(children=unwrapped_acc) output.append(wrapped_segment) - output.append(item) + output.append(child) unwrapped_acc = [] else: - output.append(item) + output.append(child) else: # if not is_wrapped if is_row: - assert ( - not unwrapped_acc - ), "Elements should not be accumulated for row" - output.append(self._child_class(item)) + output.append(self._child_class(children=[child])) else: - unwrapped_acc.append(item) + unwrapped_acc.append(child) if unwrapped_acc: - wrapped_segment = self._child_class(*unwrapped_acc) + wrapped_segment = self._child_class(children=unwrapped_acc) output.append(wrapped_segment) return output - @property - @abstractmethod - def _parent_class(self) -> Type["Layout"]: - """Parent class - used by _smart_wrap.""" - raise NotImplementedError - - @property - @abstractmethod - def _child_class(self) -> Type["Layout"]: - """Child class - used by _smart_wrap.""" - raise NotImplementedError - - @property - @abstractmethod - def _tag_open(self) -> str: - """Opening HTML tag and arguments.""" - raise NotImplementedError - - @property - @abstractmethod - def _tag_close(self) -> str: - """Closing HTML tag.""" - raise NotImplementedError - - def to_html(self, **kwargs) -> str: - """Render document to HTML code. - - Returns: - str: HTML code. - - """ - children_rendered = " ".join([c.to_html(**kwargs) for c in self.children]) - title_rendered = f"{self._render_title()}\n" if self._title else None - if title_rendered: - html = f"{self._tag_open}\n{title_rendered}{children_rendered}\n{self._tag_close}\n" - else: - html = f"{self._tag_open}\n{children_rendered}\n{self._tag_close}\n" - return html - - def display(self): - """Display rendered document in a Jupyter Notebook cell.""" - nb_display(self) - - def __init__( - self, - *children: Union["Layout", "Content", Any], - title: Optional[str] = None, - ): - self.children = list(children) - self.title = title - self._dependencies = {"bootstrap"} - - def __call__(self, *children: Union["Layout", "Content", None]): - new = copy.deepcopy(self) - if children: - new.children = list(children) - return new - - def __add__(self, other: Union["Layout", "Content", Any]): - from esparto._content import Content - - if isinstance(other, type(self)): - return self._parent_class( - *(*self.children, *other.children), title=self.title - ) - - new = copy.deepcopy(self) - new.children = self.children - - if isinstance(other, (Layout, Content, list, tuple)): - new.children += list(other) - else: - from esparto._adaptors import content_adaptor - - new.children += [content_adaptor(other)] - - return new - - def __iter__(self): - return iter([self]) - - def _repr_html_(self): - """ """ - nb_display(self) - - def __repr__(self): - title = self._title or "Untitled" - return f"{type(self)}: {title}" - - def _recurse_children(self) -> dict: - """ """ - key = self._title or type(self).__name__ + def _recurse_children(self, idx) -> dict: + key = self.title or f"{type(self).__name__} {idx}" tree = { f"{key}": [ - x._recurse_children() - if hasattr(x, "_recurse_children") - else type(x).__name__ - for x in self.children + child._recurse_children(idx) # type: ignore + if hasattr(child, "_recurse_children") + else str(child) + for idx, child in enumerate(self.children) ] } return tree def _required_dependencies(self) -> Set[str]: - """ """ deps: Set[str] = self._dependencies def dep_finder(item): nonlocal deps for child in item.children: - if hasattr(child, "_dependencies"): - deps = deps | set(child._dependencies) + deps = deps | set(getattr(child, "_dependencies", None)) if hasattr(child, "children"): dep_finder(child) dep_finder(self) - return deps - def __str__(self): - return pformat(self._recurse_children()) - - def __eq__(self, other): - if isinstance(other, self.__class__): - return self._title == other._title and all( - (x == y for x, y in zip(self.children, other.children)) - ) - return False + def _tree(self) -> str: + return pformat(self._recurse_children(idx=0)) - def __ne__(self, other): - return not self.__eq__(other) + def _ipython_key_completions_(self): # pragma: no cover + return [ + getattr(child, "title") + for child in self.children + if hasattr(child, "title") + ] class Page(Layout): - """Page - top level element for defining a document. + """Defines the top level of a document. Args: - *children (Layout, Any): Child items to include within the element. - title (str): Element title. - org_name (str): Organisation name. + title (str): Used as a title within the document and as a key value. + navbrand (str): Brand name. Displayed in the page navbar if provided. + children (list): Child items defining layout and content. """ - def _render_title(self) -> str: - """ """ - return f"

{self._title}

\n" - - @property - def _tag_open(self) -> str: - """ """ - return "
" - - @property - def _tag_close(self) -> str: - """ """ - return "
" - - @property - def _parent_class(self) -> Type["Layout"]: - """ """ - return Page - - @property - def _child_class(self) -> Type["Layout"]: - """ """ - return Section + def __init__( + self, + title: Optional[str] = None, + navbrand: Optional[str] = "", + children: Union[ + List[Union["Layout", "Content", Any]], "Layout", "Content" + ] = list(), + ): + super().__init__(title, children) + self.org_name = navbrand - def save_html( + def save( self, filepath: str = "./esparto-doc.html", return_html: bool = False, dependency_source="esparto.options", ) -> Optional[str]: """ - Save document as an HTML file. + Save document to HTML file. + + Note: Alias for `self.save_html()`. Args: filepath (str): Destination filepath. @@ -336,11 +357,10 @@ def save_html( dependency_source (str): One of 'cdn', 'inline', or 'esparto.options'. Returns: - Document rendered as HTML. (If 'return_html' is True) + Document rendered as HTML. (If `return_html` is True) """ - html = publish_html( - self, + html = self.save_html( filepath=filepath, return_html=return_html, dependency_source=dependency_source, @@ -350,16 +370,14 @@ def save_html( return html return None - def save( + def save_html( self, filepath: str = "./esparto-doc.html", return_html: bool = False, dependency_source="esparto.options", ) -> Optional[str]: """ - Save document as an HTML file. - - Note: Alias for `self.save_html()`. + Save document to HTML file. Args: filepath (str): Destination filepath. @@ -367,10 +385,11 @@ def save( dependency_source (str): One of 'cdn', 'inline', or 'esparto.options'. Returns: - Document rendered as HTML. (If 'return_html' is True) + Document rendered as HTML. (If `return_html` is True) """ - html = self.save_html( + html = publish_html( + self, filepath=filepath, return_html=return_html, dependency_source=dependency_source, @@ -384,16 +403,16 @@ def save_pdf( self, filepath: str = "./esparto-doc.pdf", return_html: bool = False ) -> Optional[str]: """ - Save document as a PDF file. + Save document to PDF file. Note: Requires optional module `weasyprint`. Args: filepath (str): Destination filepath. - return_html (bool): If True, return HTML as a string. + return_html (bool): If True, return intermediate HTML representation as a string. Returns: - Document rendered as HTML. (If 'return_html' is True) + Document rendered as HTML. (If `return_html` is True) """ html = publish_pdf(self, filepath, return_html=return_html) @@ -402,113 +421,67 @@ def save_pdf( return html return None - def __init__( - self, - *children: Union["Layout", "Content", Any], - title: Optional[str] = None, - org_name: Optional[str] = "esparto", - ): - super().__init__(*children, title=title) - self.org_name = org_name + _title_tags = "

{}

" + _body_tags = "
{}
" + + @property + def _parent_class(self): + return Page + + @property + def _child_class(self): + return Section class Section(Layout): - """Section - defines a Section within a Page. + """Sections define thematically distinct groups of content within a Page. Args: - *children (Layout, Any): Child items to include within the element. - title (str): Element title. + title (str): Used as a title within the document and as a key value. + children (list): Child items defining layout and content. """ - def _render_title(self) -> str: - """ """ - return f"

{self._title}

\n" + _title_tags = "

{}

" + _body_tags = "
{}
" + _parent_class = Page @property - def _tag_open(self) -> str: - """ """ - return "
" - - @property - def _tag_close(self) -> str: - """ """ - return "
" - - @property - def _parent_class(self) -> Type["Layout"]: - """ """ - return Page - - @property - def _child_class(self) -> Type["Layout"]: - """ """ + def _child_class(self): return Row class Row(Layout): - """Row - defines a Row within a Section. + """Rows are used in combination with Columns to define the grid layout within a section. Args: - *children (Layout, Any): Child items to include within the element. - title (str): Element title. + title (str): Used as a title within the document and as a key value. + children (list): Child items defining layout and content. """ - def _render_title(self) -> str: - """ """ - return f"
{self._title}
\n" - - @property - def _tag_open(self) -> str: - """ """ - return "
" - - @property - def _tag_close(self) -> str: - """ """ - return "
" - - @property - def _parent_class(self) -> Type["Layout"]: - """ """ - return Section + _title_tags = "
{}
" + _body_tags = "
{}
" + _parent_class = Section @property - def _child_class(self) -> Type["Layout"]: - """ """ + def _child_class(self): return Column class Column(Layout): - """Column - defines a Column within a Row. + """Columns sit within Rows and act as content holders. Args: - *children (Layout, Any): Child items to include within the element. - title (str): Element title. + title (str): Used as a title within the document and as a key value. + children (list): Child items defining layout and content. """ - def _render_title(self) -> str: - """ """ - return f"
{self._title}
\n" - - @property - def _tag_open(self) -> str: - """ """ - return "
" - - @property - def _tag_close(self) -> str: - """ """ - return "
" - - @property - def _parent_class(self) -> Type["Layout"]: - """ """ - return Row + _title_tags = "
{}
" + _body_tags = "
{}
" + _parent_class = Row @property - def _child_class(self) -> Any: - """ """ + def _child_class(self): raise NotImplementedError diff --git a/esparto/_options.py b/esparto/_options.py index e7e2a89..11ee0de 100644 --- a/esparto/_options.py +++ b/esparto/_options.py @@ -1,3 +1,5 @@ +"""Global configuration options.""" + from dataclasses import dataclass @@ -8,6 +10,7 @@ class ConfigOptions: _offline_source: str = "inline" matplotlib_output_format: str = "svg" + matplotlib_notebook_format: str = "png" pdf_temp_dir: str = ".pdf-temp" diff --git a/esparto/_publish.py b/esparto/_publish.py index 57cc5e6..eccf302 100644 --- a/esparto/_publish.py +++ b/esparto/_publish.py @@ -1,3 +1,5 @@ +"""Functions for rendering and saving documents and content.""" + import time from pathlib import Path from typing import TYPE_CHECKING, Optional, Union @@ -125,23 +127,24 @@ def nb_display( from esparto._layout import Layout - required_deps: set = set() - if isinstance(item, Layout): required_deps = item._required_dependencies() - elif hasattr(item, "_dependencies"): - required_deps = item._dependencies + else: + required_deps = getattr(item, "_dependencies", set()) dependency_source = get_source_from_options(dependency_source) resolved_deps = resolve_deps(required_deps, source=dependency_source) head_deps = "\n".join(resolved_deps.head) tail_deps = "\n".join(resolved_deps.tail) - content_html = f"
\n{item.to_html()}\n
" + html = item.to_html(notebook_mode=True) + render_html = ( + f"
\n{html}\n
" + ) render_html = ( f"\n\n{head_deps}\n" - f"\n{content_html}\n{tail_deps}\n\n\n" + f"\n{render_html}\n{tail_deps}\n\n\n" ) print() diff --git a/esparto/_utils.py b/esparto/_utils.py new file mode 100644 index 0000000..326d72b --- /dev/null +++ b/esparto/_utils.py @@ -0,0 +1,56 @@ +import re +from typing import Callable, Iterable, List + + +def get_index_where(condition: Callable[..., bool], iterable: Iterable) -> List[int]: + """Return index values where `condition` is `True`.""" + return [idx for idx, item in enumerate(iterable) if condition(item)] + + +def get_matching_titles(title: str, children: list) -> List[int]: + """Return child items with matching title.""" + return get_index_where(lambda x: getattr(x, "title", None) == title, children) + + +def clean_attr_name(attr_name: str): + # Remove leading and trailing spaces + attr_name = attr_name.strip().replace(" ", "_").lower() + + # Remove invalid characters + attr_name = re.sub("[^0-9a-zA-Z_]", "", attr_name) + + # Remove leading characters until we find a letter or underscore + attr_name = re.sub("^[^a-zA-Z_]+", "", attr_name) + + return attr_name + + +def clean_iterator(iterator: Iterable) -> Iterable: + # Convert any non-list iterators to lists + iterator = ( + list(iterator) if isinstance(iterator, (list, tuple, set)) else [iterator] + ) + # Unnest any nested lists of children + if len(list(iterator)) == 1 and isinstance(list(iterator)[0], (list, tuple, set)): + iterator = list(iterator)[0] + return iterator + + +def responsive_svg_mpl(source: str, width: int = None, height: int = None) -> str: + """Make SVG element responsive.""" + + regex_w = r"width=\S*" + regex_h = r"height=\S*" + + width_ = f"weight='{width}px'" if width else "" + height_ = f"height='{height}px'" if height else "" + + source = re.sub(regex_w, width_, source, count=1) + source = re.sub(regex_h, height_, source, count=1) + + # Preserve aspect ratio of SVG + regexp = r" - + /* Sticky footer styles */ + html { + position: relative; + min-height: 100%; + } + + body { + margin-bottom: 35px; + /* Margin bottom by footer height */ + } + + .footer { + position: absolute; + bottom: 0; + width: 100%; + height: 40px; + /* Set the fixed height of the footer here */ + line-height: 35px; + /* Vertically center the text there */ + background-color: #f5f5f5; + } + + .footer p { + margin-bottom: 0; + } + + /* Responsive SVG */ + .svg-container-mpl { + display: inline-flex; + position: relative; + width: 100%; + padding-bottom: 0; + vertical-align: middle; + overflow: hidden; + } + + .svg-content-mpl { + margin: auto; + } + {% if head_deps is defined and head_deps|length %} - {% for dep in head_deps %} - {{ dep }} - {% endfor %} + {% for dep in head_deps %} + {{ dep }} + {% endfor %} {% endif %} - @@ -52,18 +93,27 @@
{{ org_name }}
- {{ content }} - {% if tail_deps is defined and tail_deps|length %} - {% for dep in tail_deps %} - {{ dep }} - {% endfor %} + {% for dep in tail_deps %} + {{ dep }} + {% endfor %} {% endif %} - + + diff --git a/poetry.lock b/poetry.lock index edbf333..a159257 100644 --- a/poetry.lock +++ b/poetry.lock @@ -29,8 +29,8 @@ category = "dev" description = "Classes Without Boilerplate" name = "attrs" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" -version = "21.1.0" +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +version = "21.2.0" [package.extras] dev = ["coverage (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit"] @@ -95,10 +95,10 @@ description = "Interactive plots and applications in the browser from Python" name = "bokeh" optional = false python-versions = ">=3.6" -version = "2.3.1" +version = "2.3.2" [package.dependencies] -Jinja2 = ">=2.7" +Jinja2 = ">=2.9" PyYAML = ">=3.10" numpy = ">=1.11.3" packaging = ">=16.8" @@ -148,7 +148,7 @@ description = "Python package for providing Mozilla's CA Bundle." name = "certifi" optional = false python-versions = "*" -version = "2020.12.5" +version = "2021.5.30" [[package]] category = "main" @@ -167,7 +167,7 @@ description = "Validate configuration and produce human readable error messages. name = "cfgv" optional = false python-versions = ">=3.6.1" -version = "3.2.0" +version = "3.3.0" [[package]] category = "dev" @@ -182,13 +182,20 @@ category = "dev" description = "Composable command line interface toolkit" name = "click" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" -version = "7.1.2" +python-versions = ">=3.6" +version = "8.0.1" + +[package.dependencies] +colorama = "*" + +[package.dependencies.importlib-metadata] +python = "<3.8" +version = "*" [[package]] category = "dev" description = "Cross-platform colored terminal text." -marker = "sys_platform == \"win32\" or platform_system == \"Windows\"" +marker = "platform_system == \"Windows\" or sys_platform == \"win32\" or python_version > \"2.7\" and platform_system == \"Windows\"" name = "colorama" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" @@ -247,7 +254,7 @@ description = "Decorators for Humans" name = "decorator" optional = false python-versions = ">=3.5" -version = "5.0.7" +version = "5.0.9" [[package]] category = "main" @@ -277,7 +284,7 @@ description = "Distribution utilities" name = "distlib" optional = false python-versions = "*" -version = "0.3.1" +version = "0.3.2" [[package]] category = "dev" @@ -293,7 +300,7 @@ description = "the modular source code checker: pep8 pyflakes and co" name = "flake8" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7" -version = "3.9.1" +version = "3.9.2" [package.dependencies] mccabe = ">=0.6.0,<0.7.0" @@ -336,7 +343,7 @@ description = "File identification library for Python" name = "identify" optional = false python-versions = ">=3.6.1" -version = "2.2.4" +version = "2.2.7" [package.extras] license = ["editdistance-s"] @@ -352,11 +359,11 @@ version = "2.10" [[package]] category = "main" description = "Read metadata from Python packages" -marker = "python_version < \"3.8\"" +marker = "python_version > \"2.7\" and python_version < \"3.8\" or python_version < \"3.8\"" name = "importlib-metadata" optional = false python-versions = ">=3.6" -version = "4.0.1" +version = "4.3.1" [package.dependencies] zipp = ">=0.5" @@ -376,16 +383,16 @@ marker = "python_version < \"3.7\"" name = "importlib-resources" optional = false python-versions = ">=3.6" -version = "5.1.2" +version = "5.1.4" [package.dependencies] [package.dependencies.zipp] -python = "<3.8" -version = ">=0.4" +python = "<3.10" +version = ">=3.1.0" [package.extras] docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"] -testing = ["pytest (>=4.6)", "pytest-checkdocs (>=1.2.3)", "pytest-flake8", "pytest-cov", "pytest-enabler", "pytest-black (>=0.3.7)", "pytest-mypy"] +testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "pytest-black (>=0.3.7)", "pytest-mypy"] [[package]] category = "dev" @@ -558,8 +565,8 @@ category = "main" description = "Safely add untrusted strings to HTML/XML markup." name = "markupsafe" optional = false -python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*" -version = "1.1.1" +python-versions = ">=3.6" +version = "2.0.1" [[package]] category = "dev" @@ -611,7 +618,7 @@ description = "Automatically link across pages in MkDocs." name = "mkdocs-autorefs" optional = false python-versions = ">=3.6,<4.0" -version = "0.1.1" +version = "0.2.1" [package.dependencies] Markdown = ">=3.3,<4.0" @@ -647,7 +654,7 @@ description = "A Material Design theme for MkDocs" name = "mkdocs-material" optional = false python-versions = "*" -version = "7.1.4" +version = "7.1.6" [package.dependencies] Pygments = ">=2.4" @@ -673,14 +680,14 @@ description = "Automatic documentation from sources, for MkDocs." name = "mkdocstrings" optional = false python-versions = ">=3.6,<4.0" -version = "0.15.0" +version = "0.15.1" [package.dependencies] -Jinja2 = ">=2.11,<3.0" +Jinja2 = ">=2.11.1,<4.0" Markdown = ">=3.3,<4.0" -MarkupSafe = ">=1.1,<2.0" +MarkupSafe = ">=1.1,<3.0" mkdocs = ">=1.1,<2.0" -mkdocs-autorefs = ">=0.1,<0.2" +mkdocs-autorefs = ">=0.1,<0.3" pymdown-extensions = ">=6.3,<9.0" pytkdocs = ">=0.2.0,<0.12.0" @@ -867,7 +874,7 @@ description = "A framework for managing and maintaining multi-language pre-commi name = "pre-commit" optional = false python-versions = ">=3.6.1" -version = "2.12.1" +version = "2.13.0" [package.dependencies] cfgv = ">=2.0.0" @@ -982,7 +989,7 @@ description = "Extension pack for Python Markdown." name = "pymdown-extensions" optional = false python-versions = ">=3.6" -version = "8.1.1" +version = "8.2" [package.dependencies] Markdown = ">=3.2" @@ -1219,7 +1226,7 @@ marker = "python_version > \"2.7\"" name = "tqdm" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" -version = "4.60.0" +version = "4.61.0" [package.extras] dev = ["py-make (>=0.1.0)", "twine", "wheel"] @@ -1264,7 +1271,7 @@ description = "HTTP library with thread-safe connection pooling, file post, and name = "urllib3" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4" -version = "1.26.4" +version = "1.26.5" [package.extras] brotli = ["brotlipy (>=0.6.0)"] @@ -1277,7 +1284,7 @@ description = "Virtual Python Environment builder" name = "virtualenv" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" -version = "20.4.6" +version = "20.4.7" [package.dependencies] appdirs = ">=1.4.3,<2" @@ -1347,7 +1354,7 @@ version = "1.12.1" [[package]] category = "main" description = "Backport of pathlib-compatible object wrapper for zip files" 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traitlets = [ {file = "traitlets-4.3.3-py2.py3-none-any.whl", hash = "sha256:70b4c6a1d9019d7b4f6846832288f86998aa3b9207c6821f3578a6a6a467fe44"}, @@ -2220,12 +2209,12 @@ typing-extensions = [ {file = "typing_extensions-3.10.0.0.tar.gz", hash = "sha256:50b6f157849174217d0656f99dc82fe932884fb250826c18350e159ec6cdf342"}, ] urllib3 = [ - {file = "urllib3-1.26.4-py2.py3-none-any.whl", hash = "sha256:2f4da4594db7e1e110a944bb1b551fdf4e6c136ad42e4234131391e21eb5b0df"}, - {file = "urllib3-1.26.4.tar.gz", hash = "sha256:e7b021f7241115872f92f43c6508082facffbd1c048e3c6e2bb9c2a157e28937"}, + {file = "urllib3-1.26.5-py2.py3-none-any.whl", hash = "sha256:753a0374df26658f99d826cfe40394a686d05985786d946fbe4165b5148f5a7c"}, + {file = "urllib3-1.26.5.tar.gz", hash = "sha256:a7acd0977125325f516bda9735fa7142b909a8d01e8b2e4c8108d0984e6e0098"}, ] virtualenv = [ - {file = "virtualenv-20.4.6-py2.py3-none-any.whl", hash = "sha256:307a555cf21e1550885c82120eccaf5acedf42978fd362d32ba8410f9593f543"}, - {file = "virtualenv-20.4.6.tar.gz", hash = "sha256:72cf267afc04bf9c86ec932329b7e94db6a0331ae9847576daaa7ca3c86b29a4"}, + {file = "virtualenv-20.4.7-py2.py3-none-any.whl", hash = "sha256:2b0126166ea7c9c3661f5b8e06773d28f83322de7a3ff7d06f0aed18c9de6a76"}, + {file = "virtualenv-20.4.7.tar.gz", hash = "sha256:14fdf849f80dbb29a4eb6caa9875d476ee2a5cf76a5f5415fa2f1606010ab467"}, ] wcwidth = [ {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"}, diff --git a/pyproject.toml b/pyproject.toml index f2fbd4a..9c6c139 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,18 +1,26 @@ [tool.poetry] name = "esparto" -version = "0.2.5" +version = "1.0.0" description = "Simple HTML and PDF document generator for Python." authors = ["Dominic Thorn "] license = "MIT" readme = "README.md" homepage = "https://domvwt.github.io/esparto" repository = "https://github.com/domvwt/esparto" +classifiers = [ + "Development Status :: 5 - Production/Stable", + "Programming Language :: Python :: 3.6", + "Programming Language :: Python :: 3.7", + "Programming Language :: Python :: 3.8", + "Programming Language :: Python :: 3.9", + "Intended Audience :: Developers", +] [tool.poetry.dependencies] -python = "^3.6.1" +python = ">=3.6.1, <4.0" jinja2 = "^2.10.1" markdown = "^3.1" -Pillow = [">=7.0.0", "<9.0.0"] +Pillow = ">=7.0.0, <9" dataclasses = {version = "*", python = "<3.7"} beautifulsoup4 = {version = ">=4.7", optional = true} weasyprint = {version = ">=51", optional = true} diff --git a/tests/conftest.py b/tests/conftest.py index 9282fde..c620b28 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -10,8 +10,6 @@ _EXTRAS = _OPTIONAL_DEPENDENCIES <= _INSTALLED_MODULES -pytestmark = pytest.mark.filterwarnings("ignore:Row titles are not rendered") - _irises_path = str(Path("tests/resources/irises.jpg").absolute()) with Path(_irises_path).open("rb") as f: @@ -26,10 +24,10 @@ # Add new layout classes here layout_list = [ - (la.Page(*content_list)), - (la.Section(*content_list)), - (la.Row(*content_list)), - (la.Column(*content_list)), + (la.Page(children=[*content_list])), + (la.Section(children=[*content_list])), + (la.Row(children=[*content_list])), + (la.Column(children=[*content_list])), ] # Add new adaptor types here @@ -61,6 +59,11 @@ content_list += content_extra + content_pdf = content_list + [ + (co.FigureMpl(plt.Figure())), + (co.FigureMpl(plt.Figure(), output_format="svg")), + ] + adaptors_extra = [ (pd.DataFrame({"a": range(1, 11), "b": range(11, 21)}), co.DataFramePd), (plt.figure(), co.FigureMpl), @@ -90,8 +93,26 @@ def adaptor_list_fn(): @pytest.fixture def page_layout(content_list_fn) -> la.Page: return la.Page( - la.Section(la.Row(*[la.Column(x) for x in content_list_fn])), title="jazz" + title="jazz", + children=la.Section( + children=la.Row(children=[la.Column(children=[x]) for x in content_list_fn]) + ), + ) + + +@pytest.fixture +def page_basic_layout() -> la.Page: + page = la.Page( + title="Test Page", + children=la.Section( + title="Section One", + children=la.Row( + title="Row One", + children=la.Column(children=co.Markdown("markdown content")), + ), + ), ) + return page @pytest.fixture diff --git a/tests/test_content.py b/tests/test_content.py index 17f701e..ad00de9 100644 --- a/tests/test_content.py +++ b/tests/test_content.py @@ -26,7 +26,7 @@ def test_all_content_classes_have_deps(content_list_fn): @pytest.mark.parametrize("b", content_list) def test_content_add(a, b): output = a + b - expected = la.Row(a, b) + expected = la.Row(children=[a, b]) assert output == expected diff --git a/tests/test_layout.py b/tests/test_layout.py index d1e5393..5cc9c66 100644 --- a/tests/test_layout.py +++ b/tests/test_layout.py @@ -4,7 +4,7 @@ import esparto._content as co import esparto._layout as la -from tests.conftest import _irises_path, layout_list +from tests.conftest import _irises_path def test_all_layout_classes_covered(layout_list_fn): @@ -18,11 +18,25 @@ def test_all_layout_classes_covered(layout_list_fn): def test_layout_smart_wrapping(page_layout): strings = ["first", "second", "third"] - output = page_layout + la.Section(*strings, "fourth", la.Column("fifth"), "sixth") - expected = page_layout() + output = page_layout + la.Section( + children=[ + la.Row(children=[*strings, "fourth"]), + "another bit of content", + la.Row(children=[la.Column(children=["fifth"]), "sixth"]), + ] + ) + expected = page_layout expected += la.Section( - *[co.Markdown(x) for x in strings], - la.Row("fourth", la.Column("fifth"), "sixth") + children=[ + la.Row(children=[*[co.Markdown(x) for x in strings], "fourth"]), + co.Markdown("another bit of content"), + la.Row( + children=[ + la.Column(children=[co.Markdown("fifth")]), + la.Column(children=[co.Markdown("sixth")]), + ] + ), + ] ) print(output) print() @@ -30,20 +44,13 @@ def test_layout_smart_wrapping(page_layout): assert output == expected -@pytest.mark.parametrize("a", layout_list) -def test_layout_call(a): - b = a() - assert a == b - assert a is not b - - def test_layout_call_many(page_layout, content_list_fn): - a = la.Page(*content_list_fn, title="jazz") + a = la.Page(title="jazz", children=content_list_fn) assert a == page_layout def test_layout_call_list(page_layout, content_list_fn): - a = la.Page(content_list_fn, title="jazz") + a = la.Page(title="jazz", children=content_list_fn) assert a == page_layout @@ -57,38 +64,69 @@ def test_layout_equality(layout_list_fn): layout_add_list = [ - (la.Column(), "miles davis", la.Column(co.Markdown("miles davis"))), + ( + la.Column(), + "miles davis", + la.Column(children=co.Markdown("miles davis")), + ), ( la.Row(), co.Markdown("ornette coleman"), - la.Row(la.Column(co.Markdown("ornette coleman"))), + la.Row(children=la.Column(children=co.Markdown("ornette coleman"))), ), ( - la.Page("charles mingus"), - la.Section("thelonious monk"), - la.Page(["charles mingus", "thelonious monk"]), + la.Page(children=["charles mingus"]), + la.Section(children=["thelonious monk"]), + la.Page( + children=[ + la.Section(children=["charles mingus"]), + la.Section(children=["thelonious monk"]), + ] + ), ), ( la.Section(title="jazz"), - la.Row(la.Column("john coltrane"), la.Column("wayne shorter")), + la.Row( + children=[ + la.Column(children=["john coltrane"]), + la.Column(children=["wayne shorter"]), + ] + ), la.Section( - la.Row(la.Column("john coltrane"), la.Column("wayne shorter")), title="jazz" + title="jazz", + children=[ + la.Row( + children=[ + la.Column(children=["john coltrane"]), + la.Column(children=["wayne shorter"]), + ] + ) + ], ), ), ( - la.Column("eric dolphy"), - la.Column("grant green"), - la.Row(la.Column("eric dolphy"), la.Column("grant green")), + la.Column(children=["eric dolphy"]), + la.Column(children=["grant green"]), + la.Row( + children=[ + la.Column(children=["eric dolphy"]), + la.Column(children=["grant green"]), + ] + ), ), ( la.Page(title="piano"), "bill evans", - la.Page(co.Markdown("bill evans"), title="piano"), + la.Page(title="piano", children=[co.Markdown("bill evans")]), ), ( la.Page(), _irises_path, - la.Page(la.Section(la.Row(la.Column(co.Image(_irises_path))))), + la.Page( + children=la.Section( + children=la.Row(children=la.Column(children=co.Image(_irises_path))) + ) + ), ), ] @@ -97,3 +135,113 @@ def test_layout_equality(layout_list_fn): def test_layout_add(a, b, expected): output = a + b assert output == expected + + +def test_get_item(page_basic_layout): + page = la.Page(title="Test Page") + page["Section One"]["Row One"] = "markdown content" + assert page.section_one.row_one[0] == page_basic_layout[0][0][0] + + +def test_get_item_key_str_error(page_basic_layout): + page = la.Page(title="Test Page") + page["Section One"]["Row One"] = "markdown content" + with pytest.raises(KeyError): + page["Section One"][2] + + +def test_set_item_key_int_error(page_basic_layout): + page = la.Page(title="Test Page") + page["Section One"]["Row One"] = "markdown content" + with pytest.raises(KeyError): + page["Section One"][2] = "different content" + + +def test_set_item_new(page_basic_layout): + page = la.Page(title="Test Page") + page["Section One"]["Row One"] = "markdown content" + assert page == page_basic_layout + + +def test_set_item_existing_str(page_basic_layout): + page = la.Page(title="Test Page") + page["Section One"]["Row One"] = "different content" + page["Section One"]["Row One"] = "markdown content" + assert page == page_basic_layout + + +def test_set_item_existing_int(page_basic_layout): + page = la.Page(title="Test Page") + page["Section One"]["Row One"] = "different content" + page[0][0] = "markdown content" + assert page == page_basic_layout + + +def test_set_item_existing_attr(page_basic_layout): + page = la.Page(title="Test Page") + page["Section One"]["Row One"] = "different content" + page.section_one.row_one = "markdown content" + assert page == page_basic_layout + + +def test_delitem_str(page_basic_layout): + page = la.Page(title="Test Page") + page["Section One"]["Row One"] = "markdown content" + page["Section One"]["Row Two"] = "different content" + del page["Section One"]["Row Two"] + assert page == page_basic_layout + + +def test_delitem_int(page_basic_layout): + page = la.Page(title="Test Page") + page["Section One"]["Row One"] = "markdown content" + page["Section One"]["Row Two"] = "different content" + del page["Section One"][1] + assert page == page_basic_layout + + +def test_delattr(page_basic_layout): + page = la.Page(title="Test Page") + page["Section One"]["Row One"] = "markdown content" + page["Section One"]["Row Two"]["Markdown"] = "different content" + del page.section_one.row_two + assert page == page_basic_layout + + +def test_delitem_key_int_error(): + page = la.Page(title="Test Page") + page["Section One"]["Row One"] = "markdown content" + page["Section One"]["Row Two"] = "different content" + with pytest.raises(KeyError): + del page["Section One"][3] + + +def test_delitem_key_str_error(): + page = la.Page(title="Test Page") + page["Section One"]["Row One"] = "markdown content" + page["Section One"]["Row Two"] = "different content" + with pytest.raises(KeyError): + del page["Section One"]["Row Three"] + + +def test_child_id_maps_to_child(): + page = la.Page() + page["Section One"]["Row One"] = "markdown content" + assert page.section_one is page.children[0] + + +def test_lshift(page_basic_layout): + page = la.Page(title="Test Page") + content = "markdown content" + passthrough = page["Section One"]["Row One"] << content + assert passthrough == content + assert page.children == page_basic_layout.children + assert page == page_basic_layout + + +def test_rshift(page_basic_layout): + page = la.Page(title="Test Page") + content = "markdown content" + passthrough = page["Section One"]["Row One"] >> content + assert passthrough == page_basic_layout["Section One"]["Row One"] + assert page == page_basic_layout diff --git a/tests/test_publish.py b/tests/test_publish.py index 82997fc..57134cb 100644 --- a/tests/test_publish.py +++ b/tests/test_publish.py @@ -60,7 +60,30 @@ def test_saved_html_valid_inline(page_layout: es.Page, tmp_path): assert html_is_valid(html) +def test_saved_html_valid_online(page_layout: es.Page, tmp_path, monkeypatch): + monkeypatch.setattr(es.options, "offline_mode", False) + path: Path = tmp_path / "my_page.html" + page_layout.save_html(str(path)) + html = path.read_text() + assert html_is_valid(html) + + +def test_saved_html_valid_offline(page_layout: es.Page, tmp_path, monkeypatch): + monkeypatch.setattr(es.options, "offline_mode", True) + path: Path = tmp_path / "my_page.html" + page_layout.save_html(str(path)) + html = path.read_text() + assert html_is_valid(html) + + +def test_saved_html_valid_bad_source(page_layout: es.Page, tmp_path): + path: Path = tmp_path / "my_page.html" + with pytest.raises(ValueError): + page_layout.save_html(str(path), dependency_source="flapjack") + + if _EXTRAS: + from tests.conftest import content_pdf def test_notebook_html_valid_cdn(page_layout): html = pu.nb_display(page_layout, return_html=True, dependency_source="cdn") @@ -70,10 +93,20 @@ def test_notebook_html_valid_inline(page_layout): html = pu.nb_display(page_layout, return_html=True, dependency_source="inline") assert html_is_valid(html) - @pytest.mark.parametrize("content", content_list) + def test_notebook_html_valid_offline(page_layout, monkeypatch): + monkeypatch.setattr(es.options, "offline_mode", True) + html = pu.nb_display(page_layout, return_html=True) + assert html_is_valid(html) + + def test_notebook_html_valid_online(page_layout, monkeypatch): + monkeypatch.setattr(es.options, "offline_mode", False) + html = pu.nb_display(page_layout, return_html=True) + assert html_is_valid(html) + + @pytest.mark.parametrize("content", content_pdf) def test_pdf_output(content, tmp_path): if "bokeh" not in content._dependencies: - page = es.Page(content) + page = es.Page(children=[content]) path: Path = tmp_path / "my_page.pdf" page.save_pdf(str(path)) size = path.stat().st_size